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Erschienen in: Experimental Hematology & Oncology 1/2023

Open Access 01.12.2023 | Research

Depletion of polyfunctional CD26highCD8+ T cells repertoire in chronic lymphocytic leukemia

verfasst von: Najmeh Bozorgmehr, Mark Hnatiuk, Anthea C. Peters, Shokrollah Elahi

Erschienen in: Experimental Hematology & Oncology | Ausgabe 1/2023

Abstract

Background

CD8+ T cells play an essential role against tumors but the role of human CD8+CD26+ T cell subset against tumors, in particular, haematological cancers such as chronic lymphocytic leukemia (CLL) remains unknown. Although CD4+CD26high T cells are considered for adoptive cancer immunotherapy, the role of CD8+CD26+ T cells is ill-defined. Therefore, further studies are required to better determine the role of CD8+CD26+ T cells in solid tumors and haematological cancers.

Methods

We studied 55 CLL and 44 age-sex-matched healthy controls (HCs). The expression of CD26 on different T cell subsets (e.g. naïve, memory, effector, and etc.) was analyzed. Also, functional properties of CD8+CD26+ and CD8+CD26 T cells were evaluated. Finally, the plasma cytokine/chemokine and Galectin-9 (Gal-9) levels were examined.

Results

CD26 expression identifies three CD8+ T cell subsets with distinct immunological properties. While CD26negCD8+ T cells are mainly transitional, effector memory and effectors, CD26lowCD8+ T cells are mainly naïve, stem cell, and central memory but CD26high T cells are differentiated to transitional and effector memory. CD26+CD8+ T cells are significantly reduced in CLL patients versus HCs. CD26high cells are enriched with Mucosal Associated Invariant T (MAIT) cells co-expressing CD161TVα7.2 and IL-18Rα. Also, CD26high cells have a rich chemokine receptor profile (e.g. CCR5 and CCR6), profound cytokine (TNF-α, IFN-γ, and IL-2), and cytolytic molecules (Granzyme B, K, and perforin) expression upon stimulation. CD26high and CD26low T cells exhibit significantly lower frequencies of CD160, 2B4, TIGIT, ICOS, CD39, and PD-1 but higher levels of CD27, CD28, and CD73 versus CD26neg cells. To understand the mechanism linked to CD26high depletion, we found that malignant B cells by shedding Galectin-9 (Gal-9) contribute to the elevation of plasma Gal-9 in CLL patients. In turn, Gal-9 and the inflammatory milieu (IL-18, IL-12, and IL-15) in CLL patients contribute to increased apoptosis of CD26high T cells.

Conclusions

Our results demonstrate that CD26+ T cells possess a natural polyfunctionality to traffic and exhibit effector functions and resist exhaustion. Therefore, they can be proposed for adoptive cancer immunotherapy. Finally, neutralizing and/or inhibiting Gal-9 may preserve CD26highCD8+ T cells in CLL.
Begleitmaterial
Additional file 1: Figure. S1. a Representative flow plot of the purity of isolated CD3+ T cells, (b) CD3+CCR7- cells, and (c) CD19+ B cells. d Representative flow plots of the gating strategy for CD26 staining in CD8+ T cells. e Cumulative data showing the number of CD26low and CD26high CD8+ T cells as normalized in 100,000 CD8+ T cells in HC and CLL patients. f Cumulative data comparing the Mean Fluorescence Intensity (MFI) of CD26 in CD26low and CD26high CD8+ T cells. g Cumulative data comparing the frequency of CD26+CD8+ T cells in female versus male CLL patients. h Correlation between the age of CLL patients and the frequency of CD26+CD8+ T cells. i Cumulative data comparing the frequency of CD26+ and, (j) CD26low, CD26high CD8+ T cells in treated versus non-treated CLL. k Cumulative data are comparing the proportion of CD26+CD8+ T cell in three clinical stages of CLL (Low/Intermediate/high) based on the Rai staging system. l Correlation between CD26+CD8+ T cell frequency and lymphocyte counts (x103/\(\mu\)l) in CLL. m Representative flow plots, and (n) cumulative data of the frequency of CD26 among CD3- and CD3+ T cells in HC and CLL. (o) Cumulative data showing the frequency of CD26+CD4+ T cells, and (p) CD56+NK cells in HC versus CLL. q Cumulative data showing the MFI of CD26 in B cells from HCs and malignant B cells (B-CLL). r Cumulative data of the concentrations of soluble CD26 (ng/ml) in the plasma of HC and CLL. s Cumulative data of the frequency of CD26+, and (t) CD26low, CD26high CD8+ T cell in the peripheral blood versus bone marrow of CLL. u Cumulative data of CD26 mRNA expression in CD8+ T cells of HCs vs. CLL (n=15). Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S2. a Representative plots, and (b) cumulative data of the frequency of CD8+ T cell subsets (e.g. naïve, stem cell memory, central memory, transitional memory, effector memory, and effectors). c Representative flow plots, and (d) cumulative data showing the frequency of CD27 expressing cells among CD26neg/low/high effector memory subsets of CD8+ T cells in CLL. e Representative plots, and (f) Cumulative data of the frequency of TV\(\alpha\)7.2+CD161high in CD26high CD8+ T cells in HC. g Cumulative data of the frequency of TV\(\alpha\)7.2+ CD161high in CD26highCD8+ T cells in HC versus CLL. h Cumulative data of the frequency of CD160+, (i) 2B4+, (j) PD-1+, (k) TIGIT+, (l) ICOS+, (m) CD28+ , (n) CD27+, (o) CD39+ , and (p) CD73+ among CD26neg, CD26low, and CD26high CD8+ T cells in HC. q Representative plots of the co-expression of CD26 and CD73 in different CD8+ T cell subsets (naïve, central memory, effector memory, and effector) in CLL. r The pie charts show the pattern of CD26 and CD73 co-expression in different CD8+ T cell subsets in CLL. s Cumulative data of the frequency of CD26+CD73+ versus CD26+CD73- in CD8+ T cells of HC versus CLL. t Cumulative data of the frequency of co-inhibitory/co-stimulatory receptors in CD26highCD8+ T cell subset in HC and CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S3. a Cumulative data of the frequency of co-inhibitory/co-stimulatory receptors in CD26neg CD8+ T cell subset in HC and CLL. b Cumulative data of the frequency of GzmB+, (c) Perforin+, and (d) GzmB+Perforin+ among CD26neg, CD26low, and CD26high CD8+CCR7- T cells in CLL. e Cumulative data of the frequency of GzmB+, (f) Perforin+, and (g) GzmB+Perforin+ CD8+ T cells among CD26neg, CD26low, and CD26high subsets in HC. h Representative plots, and (i) cumulative data of the frequency of GzmB and perforin expressing cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL either unstimulated (black color) or stimulated for following 5 h with anti-CD3/CD28 (3\(\mu\)g/ml, 1\(\mu\)g/ml). j Cumulative data of the frequency of TNF-\(\alpha\)+, (k) IFN-\(\gamma\)+, and (l) TNF-\(\alpha\)+IFN-\(\gamma\)+ cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. m Cumulative data of the frequency of TNF-\(\alpha\)+, (n) IFN-\(\gamma\)+, and (o) TNF-\(\alpha\)+IFN-\(\gamma\)+ among CD26neg, CD26low, and CD26high CD8+ T cells in HC. p Representative plots, and cumulative data of the frequency of (q) CCR4+CCR6+ cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc17 cells. r Representative plots, and (s) cumulative data of the frequency of CXCR3+CCR6+ expressing cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc1/Tc17 cells. t Cumulative data of the frequency of CXCR3+CCR6- among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc1 cells. u Cumulative data showing the frequency of CCR4+CCR6- among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc2 cells. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Florescence minus one (FMO). Figure. S4. a Cumulative data of the expression of T-bet in different CD8+ T cells subsets in CLL. b Cumulative data of the expression of FOXP3 in different CD8+ T cells subsets in CLL. c Representative plots, and (d) cumulative data showing the intensity (MFI) of TOX expression among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. e Representative plots, and (f) cumulative data showing the intensity (MFI) of CCR5 expression among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. g Representative plots, and (h) cumulative data showing the intensity of CCR6 expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. i Representative plots, and (j) cumulative data showing the intensity of Integrin-\(\beta 7\) expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. k Representative plots, and (l) cumulative data of the intensity of CCR7 expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. m Representative plots, and (n) cumulative data of the intensity of CLA (Cutaneous Lymphocyte Antigen) expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. o Cumulative data of the frequency, and (p) the intensity of CXCR3+ expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. q Cumulative data of the frequency, and (r) the intensity of CXCR4+ expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. s Cumulative data of the intensity of CCR4 expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S5. a Representative plots, and (b) cumulative data of the frequency of CD69 expressing cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. c Cumulative data showing the frequency of TSCM (T Stem Cell Memory: CCR7+ CD45RA+CD95+) among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. d Cumulative data showing the frequency of CD16+ in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. e Representative histogram plots, and (f) cumulative data of CD26 expression in CD8+ T cells upon culture with 10% plasma. (g, h) showing detected plasma concentrations of different cytokines and chemokines in CLL versus HCs. Cumulative data showing the intensity of CD26 in the presence/absence of (i) TNF-α, (j) IL-16, (k) IFN-γ, (l) IL-6, (m) IL-10, and (n) IFN-α. o Detected total plasma TGF-β and (p) free TGF-β in CLL versus HCs. q Cumulative data showing the intensity of CD26 expression in CD8+ T cells in the presence/absence of free TGF-β. r The correlation of plasma free TGF-β with the frequency of CD26+CD8+ T cells in CLL patients. s Cumulative data showing the intensity of Annexin-V expression in CD26neg, CD26low, and CD26high CD8+ T cells from CLL patients following treatment with recombinant human Gal-9 (0.02 \(\mu\)g/ml) in-vitro. t Concentrations of Gal-9 (pg/ml) in supernatants of PBMCs (1× 106 cells/well) from HC and CLL were collected 18 h post culture. u Concentrations of IL-18 (pg/ml) (v) IL-12/IL-23p40 (pg/ml), and (w) IL-15 (pg/ml) in the plasma of HC versus CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S6. a Cumulative data showing the intensity of Annexin-V expression in CD26neg, CD26low, and CD26high CD8+ T cells from CLL patients following 8 h of culture in the presence of a cytokine cocktail (IL-18+IL-12+IL-15 (100 ng/ml of each)). b Representative flow cytometry plots, and (c) cumulative data of CD26-expressing cells among CD8+ T cells in the thymus, blood, and spleen of BALB/c mice. d Cumulative data showing the frequency of CD28+CD8+ T cells in HC versus CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample or a mouse. Florescence minus one (FMO).
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s40164-023-00375-5.

Publisher's Note

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Abkürzungen
ICOS
The inducible T cell co-stimulator
TIGIT
T cell immunoreceptor with Ig and ITIM domains
PD-1
Programmed cell death protein 1
IGHV
The immunoglobulin heavy chain gene
TOX
Thymocyte selection-associated HMG box

Background

CD26 also known as DPP4 (dipeptidyl peptidase 4) is a 110 kDa homodimer transmembrane glycoprotein with enzymatic activity [1]. It has extracellular, transmembrane, and intracytoplasmic domain [1]. The extracellular domain contains catalytic, cysteine-rich, and glycosylated regions. The catalytic region has serine protease activity that cleaves off amino-terminal dipeptides from many peptide hormones and chemokines that have proline or alanine at their N-terminus [2]. Also, CD26 stabilizes glucose levels by inactivating glucagon-peptide-1 (GLP) and gastric-inhibitory protein (GIP) [3]. The glycosylated and cysteine-rich regions of CD26 interact with different binding partners [4].
CD26 is widely expressed by various cells in different tissues including fibroblasts, endothelial, epithelial, mesothelial, and immune cells [5]. Among immune cells, T cells are the major CD26 expression cells [6]. Nevertheless, B cells [7], natural killer cells (NK) [8], dendritic cells (DCs), [9] and macrophages [10] express lower levels of CD26. It is worth mentioning that erythroid precursors/progenitors (CD71+ erythroid cells) also express substantial levels of CD26 [11].
The role of CD26 in the immune system particularly T cell development and differentiation has been widely studied. For example, CD26 is considered a thymus maturation marker for T cells since most single-positive CD4+ and CD8+ T cells express this glycoprotein [12]. Notably, deletion of CD26 in mice is associated with decreased frequency and functionality of CD4+ T cells, which subsequently impairs cytokine and immunoglobulin production in CD26 knock-out (KO) mice [13]. In line with these observations, CD26 (DPP4) inhibitors, as glycemic controllers have been associated with Th1, Th2, and Th17 cell suppression but regulatory T cells (Tregs) expansion in diabetic patients [14].
CD26 modulates T cell activation and proliferation via interaction with its binding partners such as Adenosine Deaminase (ADA), which is an essential enzyme in the adenosine pathway [15]. Upon binding to CD26, ADA converts adenosine to inosine with a wide range of anti-inflammatory effects [16, 17]. Moreover, the interaction of ADA with CD26 transduces a stimulatory signal to T cells [18]. For instance, Caveolin-1 on antigen -presenting cells upon interaction with CD26 via CARMA-1 enhances T cell activation [19].
CD26 is also involved in T cell trafficking by modulating chemokines and the tendency for binding to extracellular matrix molecules and endothelial cells [20]. The enzymatic activity of CD26 regulates diverse chemokines including RANTES (CCL5), Eotaxin, Stromal-derived Factor-\(\alpha\) (SDF-1 \(\alpha\)/CXCL12), and macrophage-derived chemokine (MDC/CCL22) [21]. For example, CD26 increases CCR5-dependent but reduces CCR1-dependent migration of monocytes [22]. Additionally, the CD26 molecule has binding sites for extracellular matrix components such as fibronectin and collagen [23]. These capabilities support CD26+ T cell activity, homing and trans-endothelial migration [24].
It appears that CD26highCD4+ T cells are dominantly Th17 cells and exhibit effective anti-tumor immunity in different cancer models [2527]. CD26highCD4+ T cells, due to their increased migration and persistence capacities, are desirable for T cell-based immunotherapies [26]. It is worth mentioning that CD26 expressing CD4+ T cells play a crucial role in the differentiation of B cells into plasma cells [6].
However, compared to CD4+ T cells, the role of CD26 in CD8+ T cell is not fully understood. Some studies have reported that CD26 provides a costimulatory signal and increases cytokine production in CD8+ T cells [28]. Given its costimulatory role, CD26 blockade attenuates organ transplantation [29, 30] and skin allograft rejections in animal models [31, 32]. Moreover, CD26 plays an essential role in the formation of memory CD8+ T cells in viral infections [33] but their frequency is reduced in HIV-infected individuals [34]. Nevertheless, the loss of CD26 expression in malignant T cells in cutaneous T cell lymphoma is reported [35]
Recently it has been shown that CD26 expression is a distinctive surrogate marker for Mucosal Associated Invariant T (MAIT) cells [36]. Human MAIT cells are unconventional innate-like T cells that are present in blood circulation and tissues [37]. These cells are defined by the expression of a semi-invariable T-cell receptor-\(\alpha\) chain (TCR-\(\alpha\)) composed of TV \(\alpha\) 7.2[38]. MAIT cells are restricted to MHC class I related Protein 1 (MR-1) which enables them a unique opportunity to recognize riboflavin (Vitamin B12) metabolites in microbial components [39]. In addition, MAIT cells exhibit a distinct phenotype evidenced by high levels of surface markers such as CD161, IL-18R \(\alpha\), and CD26 [36, 40, 41]. However, to our knowledge, the frequency and functionality of CD26+CD8+ T cells in Chronic Lymphocytic Leukemia (CLL) have never been investigated.
CLL is a hematologic malignancy with clonal expansion of malignant B cells in the bone marrow, lymph nodes, and peripheral blood [42]. CLL patients usually suffer from secondary immunodeficiency due to hypogammaglobulinemia and abnormal cellular immunity [43]. In CLL, circulating malignant B cells deleteriously affect the T cell anti-tumor immunity [44, 45]. CLL-associated mortalities are mainly due to disease progression, secondary solid malignancy, and/or infections [46] that are governed by the compromised immune system in predisposed patients [47, 48]. T cell impairment/exhaustion is one aspect of the compromised anti-tumor immunity in CLL patients. Unfortunately, current immunotherapies targeting PD-1 and CTLA-4 pathways have not been encouraging in CLL patients [49]. This might be related to the differential nature of exhausted T cells in hematological cancers versus solid tumors. For example, we have shown that CD160, not PD-1is the dominant co-inhibitory receptor associated with CD8+ T cell exhaustion in CLL patients [45]. These examples provide an urgent need for a better understanding of T cell repertoire in CLL patients. Although CAR T cell therapy has been associated with promising results in CLL patients [50], further T cell-related studies will assist us in identifying potential novel immunotherapies.
In this study, we investigated the frequency of CD26+CD8+ T cells in a cohort of CLL patients in comparison with age-sex-matched healthy controls (HCs). We further performed extensive immunophenotyping on CD26neg, CD26low, and CD26high CD8+ T cell subsets in both cohorts. Moreover, we conducted comprehensive studies on the effector functions of different subpopulations of CD26+CD8+ T cells in CLL versus HCs. Notably, we investigated the mechanism underlying the depletion of CD26+ T cells in CLL patients. Therefore, our studies provide a novel insight into the role of CD26+CD8+ T cells in CLL patients and suggest that CD26highCD8+ T cells may have promising potential for adoptive T cell transfer and CAR T cell therapies.

Material and methods

Study population

We recruited 55 patients with confirmed CLL for this study (Additional file 2: Table S1), along with 44 age-and-sex-matched healthy controls for comparison. We collected peripheral blood specimens and bone-marrow aspirates in EDTA-containing tubes. The clinical data including IGHV mutation status, FISH analysis, clinical staging (Rai staging system) [51], and treatment state/course were collected for further analysis.

Cell isolation and purification

The peripheral blood mononuclear cells (PBMCs) and the bone-marrow cells were isolated using Ficoll-Paque gradients (GE Healthcare). CD3+ T cells were enriched by a negative selection kit (EasySep isolation kit, Stem Cell Technologies) with a purity of > 97% (Additional file 1: Fig. S1a). For effector T cell (CD3+CCR7) isolation, CD3+ T cells were stained with the PE-conjugated anti-CCR7 antibody followed by the anti-PE-conjugated microbeads (Miltenyl) with a purity of > 96% (Additional file 1: Fig. S1b). For B cell enrichment, B cells were stained with FITC-conjugated anti-CD19 antibody and then isolated by the anti-FITC microbeads (Miltenyl) with a purity of > 91% (Additional file 1: Fig. S1c).

Flow cytometry

The fluorochrome-conjugated antibodies were purchased from BD Biosciences, Thermo Fisher Scientific or Biolegend including human anti-CD3 (SK7), anti-CD4 (RPA-T4), anti-CD8 (RPA-T8), anti-CD26 (M-A261), anti-CD161(HP-3G10), anti-TV \(\alpha\) 7.2 (3C10), anti-IL-18R \(\alpha\) (H44), anti-CD5 (UCHT2), anti-CD19 (HIB19), anti-CD160(BY55), anti-2B4(eBioDM244), anti-TIGIT(MBSA43), anti-PD1 (EH12.1), anti-TIM-3 (7D3), anti-CD39 (TU66), anti-CD73 (AD2), anti-CD95 (DX2), anti-CD127 (HIL-7R-M21), anti-ROR \(\gamma \delta\)(Q21-559), anti-CD45RA (HL100), anti-CCR7 (3D12), anti-CD27 (G3H69), anti-CD28 (CD28.2), anti-ICOS (C398.4A), anti-CD57 (NK-1), anti-CD16 (B73.1), anti-CD56 (B159), anti-KLRG1 (2F1/KLRG1), anti-CD69 (N50), anti-CD107a (H4A3), anti-IL-2 (MQ1-17H12), anti-TNF-\(\alpha\)(MAB11), anti-IFN-\(\gamma\)(45.B3), anti-Perforin (dG9), anti-Granzyme-B (GB11), anti-Granzyme-K (G3H69), anti-CLA (HECA452, Miltenyi), anti-CCR4 (1G1), anti-CCR5 (2D7/CCR5), anti-CCR6 (11A9), anti-Integrin-\(\beta\) 7 (FIB504), anti-CXCR3 (1C6/CXCR3), anti-CXCR4 (12G5), anti-Galectin-9 (9M1-3), anti-Annexin-V (Annexin V), anti-TOX (TXRX10), anti-FOXP3 (150D/E4), and anti-T-bet (4B10). We also used mouse anti-CD26 (H194-112), anti-CD8 (53–6.7), and anti-CD3 (17A2) antibodies.
Surface staining was performed, as we have reported elsewhere [52, 53]. Data were acquired on an LSR Fortessa-SORP (BD Bioscience) and subsequently analyzed using Flow Jo software (V.10.8.1). Cell viability was analyzed using the LIVE/DEAD kit (Life technologies).

Cell culture and ex vivo cytokine measurement

Isolated PBMCs were cultured and stimulated with soluble Purified NA/LE anti-human CD3 (UCHT1, 3 μg/ml)/CD28 (CD28.2, 1 μg/ml) or PMA (20 ng/ml)/Ionomycin (1 g\(\mu\)/ml) (Cell stimulation cocktail, Biolegend) in the presence of the protein transport inhibitor Brefeldin A (BD Biosciences, 1/1000) for 5 h. Intracellular cytokine staining was performed according to our protocols [54]. For cytokine-dependent cultures, PBMCs were treated with a cocktail of cytokines including recombinant human IL-12 (Cedarlane,100 ng/ml), IL-18 (Biolegend,100 ng/ml), and IL-15 (Biolegend, 100 ng/ml) for 18 h. Brefeldin A (1/1000) was added 5 h before the intracellular staining. In other experiments, the effects of different cytokines including TNF-α (50 ng/ml), IFN-γ (100 ng/ml), IL-10 (100 ng/ml), IL-16 (500 ng/ml), IFN-α (100 ng/ml), IL-2 (20 ng/ml), IL-6 (100 ng/ml), and TGF-β (20 ng/ml) on CD26 expression was analyzed.

qPCR analysis

The RNA was isolated from CD8+ T cells from HCs and CLL patients using the Direct-zol RNA MicroPrep kit (Zymo Research). cDNA was synthesis using the Quantitect Reverse Transcription Kit (Qiagen). RT-PCR was carried out using the Quantitect primer Kit (Qiagen) to measure the expression of CD26 mRNA. Each sample was run in duplicate, using the CFX96 Touch Real-Time PCR Detection System (BioRad). Beta-2-microglobulin was used as a reference gene and the relative fold change of the targeted genes was calculated by the ΔΔ CT method.

Proliferation assay

Isolated effector T cells (CD3+ CCR7) were labeled with the CFSE dye (Life Technologies) before stimulation using the Dyna beads Human T-activator CD3/CD28 (Thermo Fisher Scientific) according to the manufacturer’s instruction and our protocols [53, 54]. After 72 h cells were stained and analyzed.

Migration assay

The migration assay was performed using the CytoSelect migration assay kit (Cell Biolabs), as we have reported elsewhere [55, 56]. PBMCs were starved overnight in FBS-free culture media. The next day, FBS (10%), recombinant human RANTES (CCL5) (R and D, 10 nM), and recombinant human IL-18 (Biolegend, 100 ng/ml) were used as chemoattractants. Cell suspension of starved cells (0.5 × 106 cells/well) was added to the upper chamber and incubated in the incubator (37 °C, 5% CO25) for 24 h. Migrated cells in the lower chamber were harvested and quantified by flow cytometry according to the manufacturer’s instructions. The migration ratio was calculated compared to the wells lacking the chemoattractant.

Multiple and ELISA assay

The plasma concentration of cytokines/chemokines was measured using the Meso Scale Discovery (MSD) multiplex kit, as we have reported elsewhere [45]. Data were acquired on the V-plex® Sector Imager 2400 plate reader and analyzed using the MSD Workbench 3.0 software. In addition, soluble CD26, IL-18, TGF-β, and Galectin-9 (Gal-9) were detected using the DuoSet ELISA kit (R&D) according to the manufacturer’s protocol. The microplate reader (Synergy H1 Biotek) was used for acquiring ELISA data and analyzed by Gen5 V.2.07 software.

Statistical analysis

GraphPad Prism software (version 9.3.1) was used for statistical analysis. Mann–Whitney U test or Wilcoxon signed rank test was used for non-paired or paired comparisons, respectively. For multiple comparisons, the Kruskal–Wallis one-way analysis of variance test was used. Data were presented as median with an interquartile range. P-values less than 0.05 was considered statistically significant. The visual summary was prepared using the BioRender software.

Results

A significant reduction in CD26+CD8+ T cells in CLL patients

To determine the frequency of CD26+CD8+ T cells, PBMCs from CLL patients (n = 55) and healthy controls (HCs) (n = 44) were subjected to CD26 expression analysis. (Additional file 1: Fig. S1d, the gating strategy). These studies revealed that the frequency of CD26+CD8+ T cells was significantly declined in CLL patients compared to HCs (Fig. 1A, B). While on average half of CD8+ T cells in PBMCs of HCs expressed CD26 (Mean \(\pm\) SD: 45.88 \(\pm\) 21.36) this was substantially lower (Mean \(\pm\) SD: 26.84 \(\pm\) 16.64) in CLL (Fig. 1A, B). Although the majority of CD26 expressing CD8+ T cells were CD26low, the proportions of both CD26high and CD26low were significantly reduced in CLL patients compared to HCs (Fig. 1A, C, D). We also measured the cell number in both groups, which confirmed a significant reduction in the number of CD26low and CD26high T cells in CLL patients (Additional file 1: Fig. S1e). Moreover, the intensity of CD26 expression was significantly decreased in CD8+ T cells of CLL patients compared to HCs (Fig. 1E, F). As expected, the CD26low subpopulation had a significantly lower intensity of CD26 expression than their CD26high counterparts in CLL patients (Additional file 1: Fig. 1f).
Given the reported impact of age and sex on T cell repertoire [57], we found these variables did not influence the frequency of CD26+CD8+ T cells (Additional file 1: Fig. S1g, h). Also, we did not observe any difference in the frequency of CD26+CD8+ T cells among treated (n = 18) versus untreated (n = 37) CLL patients (Additional file 1: Fig. S1i, j). To determine the potential correlation between the clinical staging of CLL patients with the frequency of CD26+CD8+ T cells, we stratified our patients according to the Rai staging system for CLL into three groups [51]; however, we did not observe any significant difference between them (Additional file 1: Fig. S1k). Moreover, our analysis revealed that the lymphocyte count in the whole blood did not correlate with the frequency of CD26+CD8+ T cells (Additional file l Fig. S1l). To determine whether CD26 downregulation was CD8+ T cells specific or a general phenomenon of CLL, we measured the expression of CD26 on other blood mononuclear cells. Although CD4+ T cells were the most dominant CD26 expressing cells, their frequency in CLL patients was also significantly reduced compared to HCs (Additional file 1: Fig. S1m–o). Of note, NK cells exhibited a very small proportion of CD26-expressing cells without any difference between HCs and CLL patients (Additional file 1: Fig. S1p). Also, we compared the mean fluorescence intensity (MFI) of CD26 in malignant B cells in CLL with non-malignant B cells. These studies revealed a significant increase in the intensity of CD26 in malignant B cells, which is consistent with previous reports [58, 59] (Additional file 1: Fig. S1q). These observations suggested that CD26 may get shed from the cell surface resulting in the elevation of soluble CD26 in the plasma. However, the plasma levels of CD26 in CLL patients did not support this hypothesis (Additional file 1: Fig. S1r). Moreover, we compared CD26+CD8+ frequencies in the bone marrow and blood of CLL patients. Despite a trend towards lower CD26+CD8+ T cells in the bone marrow, it was not significant (Additional file 1: Fig. S1s, t). Finally, to understand the stage of CD26 reduction, we quantified CD26 mRNA levels in CD8+ T cells from CLL and HCs. However, we did not find any significant difference between the groups at the gene level (Additional file 1: Fig. S1u). Overall, these observations support the notion that CLL is associated with a substantial decline in the frequency of CD26+ T cells, particularly CD26lowCD8+ T cells, without any changes in the plasma levels of soluble CD26.

The differential expression pattern of CD26 in CD8+ T cell subsets in CLL

To better phenotype CD26+CD8+ T cells in CLL, we conducted a detailed ex vivo analysis of these cells. Based on CD45RA, CCR7, CD95, and CD27 markers, we characterized T cell subsets such as naïve (CD45RA+CCR7+CD95), stem cell memory (CD45RA+CCR7+CD95+), central memory (CD45RACCR7+), transitional memory (CD45RACCR7 CD27+), effector memory (CD45RACCR7 CD27), and effectors (CD45RA+CCR7) [6062]. We found that CD8+CD26low T cells were mainly naïve, stem cell memory, and central memory (Fig. 1G). As illustrated in this figure, the frequency of CD8+CD26low expressing T cells declines as T cells differentiate to other subsets (e.g. transitional memory, effector memory, and effectors) in both HCs and CLL patients. In contrast, CD8+CD26high T cells were uniquely populated in transitional and effector memory subsets with very low frequency in other subsets and absent in the naïve population (Fig. 1G). In particular, we observed that the frequency of CD26low was significantly lower in stem cell memory, effector memory, and effectors but unchanged in other T cell subsets in CLL patients compared to HCs (Fig. 1H–N). However, the frequency of CD26highCD8+ T cells was significantly lower in all T cell subsets except the naïve subset in CLL patients compared to HCs (Fig. 1H–N). Despite the expansion of total effector memory and effector CD8+ T cell subsets in CLL patients (Additional file 1: Fig. S2a, b), the frequency of those expressing CD26high was significantly lower in CLL patients (Fig. 1M, N).
Moreover, to better characterize CD26+CD8+ T cells, we subjected them to CD27 expression analysis. CD27 is involved in CD8+ T cell activation and memory formation that augments anti-tumor activity [63, 64]. Our further studies confirmed the abundance of transitional and effector memory subsets in CD26low and CD26highCD8+ T cells (Additional file 1: Fig. S2c, d).
Overall, our results indicate that CD26+CD8+ T cells are in distinct stages of differentiation. Considering the substantial co-expression of CD27 and CD26, a considerable decline in the proportion of CD26+CD8+ T cells may deprive CLL patients of the potent anti-tumor activity of this T cell subset [64].

CD26highCD8+ T cells are enriched with MAIT cells in CLL

MAIT cells express high levels of CD161 [40], IL-18R \(\alpha\), and CD26 [36, 41]. In particular, the most specific surrogate marker for MAIT cells is the co-expression of CD161high and TV \(\alpha\) 7.2 [65]. As such, we decided to determine whether CD26+CD8+ T cells were MAIT cells. We observed that the majority (Mean \(\pm\) SD: 67 \(\pm 14.48\)) of CD26highCD8+ T cells co-expressed TV \(\alpha\) 7.2+ & CD161high in CLL patients (Fig. 2A–C). However, a portion of CD26high did not express TV \(\alpha\) 7.2 and CD161high (Fig. 2A, C). Of note, the frequency of MAIT-like cells expressing TV \(\alpha\) 7.2 and CD161high was significantly lower among CD8+CD26+ T cells in CLL patients (Additional file 1: Fig. S2e–g). Moreover, we investigated the expression levels of IL-18R \(\alpha\) in three subsets of CD26neg, CD26low, and CD26highCD8+ T cells, which elucidated that CD26high cells were the dominant cells expressing IL-18R \(\alpha\) in both HCs and CLL patients. However, a portion of CD26high CD8+ T cells lacked the expression of this cytokine receptor (Fig. 2D–F). These observations suggest that CD26highCD8+ T cells are enriched with MAIT-like cells but they are a heterogeneous T cell subset. It is worth mentioning that we found a considerable frequency of MAIT-like cells that did not express CD26high. As such, we speculate that CLL may impact the expression of MAIT surrogate markers. Therefore, CD26high might not be a definite marker for MAIT cell identification in CLLs. However, the majority of CD26highCD8+ T cells displayed the MAIT-like phenotype (CD161high TV \(\alpha\) 7.2+) and significantly declined in CLL patients compared to HCs.

The heterogeneous expression of co-inhibitory and co-stimulatory receptors in CD26+CD8+ T cells

To better characterize CD26+ versus their negative counterparts, we subjected them to further analysis for the expression of co-stimulatory/inhibitory molecules. Previously, we have reported that the co-inhibitory receptor, CD160, was selectively overexpressed on CD8+ T cells in CLL patients [45]. In agreement, we found that CD26negCD8+ T cells were significantly enriched with CD160 (Fig. 2G, H), 2B4 (Fig. 2I, J), TIGIT (Fig. 2K, L), and ICOS (Fig. 2M, N) expressing T cells than their CD26low and CD26high siblings. On the contrary, CD26low and CD26high T cells were significantly populated with CD28 and CD27 expressing CD8+ T cells (Fig. 2O–R). Interestingly, we did not observe any difference in the proportion of PD-1 expressing CD8+ T cells between CD26neg, CD26low, and CD26high subsets ((Fig. 2S, T). Although HCs, in general, have a lower frequency of T cells expressing co-inhibitory/stimulatory receptors, we observed a significant reduction in the proportion of CD160, 2B4, and PD-1 expressing cells in CD26lowCD8+ T cell subset compared to their CD26neg or CD26high siblings (Additional file 1: Fig. S2h–j). The frequency of TIGIT-expressing T cells was significantly lower in CD26low/CD26high subsets in HCs (Additional file 1: Fig. S2k). Although ICOS and CD28 had similar expression patterns in CD26−/+ subsets, CD27+CD8+ T cells were significantly abundant in the CD26low subset in HCs (Additional file 1: Fig. S2l–n). Owing to the tandem contribution of ectonucleotidases CD39, CD73, and CD26 in the adenosine pathway [66], we measured the expression of these two ectoenzymes in different subsets of CD26-expressing CD8+ T cells. We found that CD39 was highly expressed in CD26negCD8+ T cells (Fig. 2U, V), whereas CD73 was prominently expressed in CD26low followed by CD26high and CD26neg CD8+ T cells (Fig. 2W, X). Similarly, we analyzed the expression of CD39 and CD73 in CD26+CD8+T cells of HCs, which showed no differential expression pattern for CD39 but we found a higher abundance of CD73+ T cells among CD26low compared to their CD26neg/CD26high counterparts (Additional file 1: Fig. S2o, p). Our further analysis revealed that CD26lowCD73+ T cells predominantly displayed naïve T cell phenotype (Additional file 1: Fig. S2q, r). However, the subpopulation of CD26+CD73+ with effector and effector memory phenotype (CD8+CCR7 T cells) was significantly reduced in CLL patients versus HCs (Additional file 1: Fig. S2s). Overall, we found that CD160, 2B4, TIGIT, and PD-1 expressing CD26lowCD8+ T cells were significantly enriched in CLL versus HCs (Fig. 2Y). In contrast, the proportion of CD27+CD73+ expressing cells was significantly reduced in the CD26lowCD8+ T cell subset without any changes in the frequency of ICOS, CD28, CD39 expressing CD8+ T cells in CLL versus HCs (Fig. 2Y). However, this pattern was different for CD26high T cells and they showed higher expression of TIGIT+ and CD27+ cells in CLL patients compared to HCs (Additional file 1: l Fig. 2t). Interestingly, we found that the proportion of 2B4+ T cells was significantly increased but CD28, CD27 and CD73-expressing cells were decreased among CD26negCD8+ T cells in CLL patients (Additional file 1: Fig. 3a).

CD26negCD8+ T cells exhibit higher cytotoxic properties

CD8+ T cells as cytotoxic T lymphocytes play an essential role against virally infected and tumor cells [67, 68] via granule-mediated cytotoxicity, FAS-FASL interaction, and the release of cytokines (e.g. TNF-α and IFN-γ) [69]. Granzymes as cytolytic molecules and their harmonized action with perforin (pore forming protein) are required for effective granule-mediated cytotoxicity [70]. To determine the granule-mediated cytotoxic ability of CD26±CD8+ T cells, we measured the intracytoplasmic expression of perforin and granzyme-B (GzmB) in CD26neg, CD26low, and CD26high CD8+ T cells in CLL patients ex vivo. We found that in contrast to the CD26neg subset, CD26low and CD26high cells were devoid of perforin and expressed very low levels of GzmB (Fig. 3A–E). Considering the heterogeneous nature of CD8+ T cells, we observed that even CD26low/highCD8+ T cells with effector and effector memory phenotype showed substantial downregulation of perforin/GzmB compared to their CD26neg counterparts in CLL patients (Additional file 1: l Fig. S3b–d). We found the same phenotype in terms of GzmB and perforin expression in CD26low/highCD8+ T cells in HCs (Additional file 1: Fig. S3e–g). To better characterize the potential cytolytic role of CD26+CD8+T cells, we subjected them to GzmK expression analysis. Interestingly, we observed that CD26highCD8+ T cells expressed substantial levels of intracytoplasmic GzmK compared to CD26low and CD26neg T cells (Fig. 3F, G). Moreover, we assessed the degranulation capacity of CD8+ T cells by measuring CD107a expression (Lysosomal-associated membrane protein I (LAMP-I)) [71] in response to the global stimulation with anti-CD3/CD28 antibodies. These studies revealed that CD26negCD8+ T cells had higher degranulation capacity following in vitro stimulation than CD26low/high CD8+ T cells (Fig. 3H, I). To characterize the functional properties of CD26+CD8+ T cells in response to stimulation, we stimulated them either via T Cell receptor (TCR) (anti-CD3/CD28) or a cytokine cocktail (IL-18 + IL-12 + IL-15) for 18 h. We found that TCR-mediated stimulation significantly increased GzmB expression in CD26low and CD26high CD8+ T cell populations, while GzmK expression levels remained unchanged (Fig. 3J–M). Of note, TCR stimulation did not change the expression levels of GzmB and GzmK in CD26neg CD8+ T cells (Fig. 3J–M). However, cytokine-mediated stimulation significantly enhanced GzmB/GzmK co-expression in all T cell subsets, but was more pronounced in the CD26highCD8+ T cell subset (Fig. 3J–M). The same expression pattern was observed for the upregulation of perforin in different T cell subsets after stimulation (Additional file 1: Fig. S3h, i). Overall, these observations revealed differential expression of GzmB and GzmK in CD26±CD8+ T cell subsets in CLL patients. Collectively, while CD26negCD8+ T cells exhibited higher GzmB and perforin expression at the baseline, CD26high and CD26low CD8+ T cells acquired a greater cytolytic molecules expression upon stimulation.

CD26highCD8+ T cells display higher cytokine-induced responsiveness

To better delineate the effector functions of CD26+CD8+ T cells, we analyzed their cytokine production capacity (e.g., IFN-\(\gamma\) and TNF-\(\alpha\)). We found that CD26high exhibited significantly higher IFN-\(\gamma\), TNF-\(\alpha\), and IFN-γ/TNF-α expression than their CD26neg counterparts following 5 h stimulation with anti-CD3/CD28 antibodies in vitro (Fig. 4A–D). However, stimulation of PBMCs with PMA for the same period induced higher IFN-\(\gamma\), TNF-\(\alpha\), and IFN-γ/TNF-α in CD26neg and CD26high compared to CD26lowCD8+ T cells, while the magnitude of cytokine response was more pronounced in CD26highCD8+ T cells (Additional file 1: Fig. S3j–l). Next, we stimulated PBMCs via TCR-dependent (anti-CD3/CD28) or cytokine-dependent (IL-18 + IL12 + IL-15) manners for 18 h. Interestingly, we found that CD26highCD8+ T cells exhibited a greater cytokine production capacity than their other counterparts (e.g., CD26neg and CD26low) within the same CLL patients (Fig. 4E–H).
We also measured IL-2 expression following 5 h PMA stimulation and found that CD26high followed by CD26low T cells had a superior capacity for IL-2 production compared to CD26neg CD8+ T cells in CLL patients (Fig. 4I, J). However, we found that the proliferative capability of different CD8+ T cell subsets did not correspond with their cytokine production capacity. As such, CD26lowCD8+ effector T cells displayed a significantly greater proliferation compared to their CD26neg/high siblings following 72 h TCR stimulation in vitro (Fig. 4K, L). Moreover, we assessed the expression of cytokines in different CD8+ T cell subsets in HCs and noted that CD26neg and CD26high cells had higher levels of IFN-\(\gamma\) and TNF-\(\alpha\) compared to CD26lowCD8+ T cells (Additional file 1: Fig. S3m–o).
Although CTLs are the best-characterized subpopulation of CD8+ T cells to kill infected cells or tumor cells, CD8+ T cells are highly heterogeneous. For example, it has been reported that environmental cues induce transcriptional factors to differentiate CD8+ T cells into Tc1, Tc2, Tc17, and Tc1/Tc17 cells that can be stratified based on the surface expression of CXCR3, CCR6, and CCR [72]. Therefore, we further characterized CD26+ and their CD26neg counterparts in CLL patients, which showed CD26high cells were enriched with Tc17 (CCR4+CCR6+) and Tc1/Tc17 (CCR6+CXCR3+) CD8+ T cell phenotype but Tc2 (CCR4+CCR6) CD8+ T cells were more abundant in CD26neg and CD26low T cell subsets (Additional file 1: Fig. S3p–u). In addition, we evaluated the expression of different transcriptional factors in CD26-expressing subsets. We found a higher ROR \(\gamma \delta\) expression [72] in CD26high CD8+ T cells, which supports the Tc17 skewed phenotype of this T cell subset in CLL patients (Fig. 4m, n). However, we did not find any significant difference in T-bet and FOXP3 expression among CD26 subsets in CLL patients (Additional file 1: Fig. S4a, b). Interestingly, we noted a higher expression of TOX transcriptional factor in CD26high than CD26neg T cells in CLL patients (Additional file 1: Fig. S4c, d). Although TOX may be involved in T cell exhaustion, recent studies suggested that it is expressed by most effector memory/polyfunctional CD8+ T cells and not exclusively exhausted T cells in humans [73]. Therefore, our observations support this notion that TOX is not linked to exhaustion but polyfunctionality.
Overall, our observations support the heterogenous nature of CD26highCD8+ T cells with a greater cytokine production capacity compared to their CD26neg/low counterparts.

CD26highCD8+ T cells possess a greater migratory capacity

CD8+ T cell migratory ability is crucial for accessing tumor sites, and distinct homing receptors are involved in this process [74]. To better characterize the migratory capacity of CD26+CD8+ T cell subpopulations, we subjected them to further analysis for the expression of various homing receptors. We found that CD26highCD8+ T cells had significantly higher frequency and intensity of CCR5 expression than CD26neg and CD26lowCD8+ T cells in CLL patients (Fig. 5A–C, and Additional file 1: Fig. S4e, f). We made similar observations for the proportion/intensity of CCR6 (Fig. 5D–F, Additional file 1: Fig. S4g, h), and \(\beta\) 7 Integrin in CD26highCD8+ T cells (Additional file 1: Fig. S4i, j). While CCR5 directs migration along RANTES, CCL3, and MIP-1 \(\alpha /\beta\) to the secondary lymphoid organs and inflammation sites[75], CCR6 and integrin-\(\beta\) 7 traffic T cells towards mucosal tissues such as the gut in response to CCL20 and MadCAM-1 [76, 77]. In contrast to CD26high, we found significantly a higher proportion of CCR7 expressing cells with greater intensity among CD26lowCD8+ T cells (Fig. 5G–I, and Additional file 1: Fig. S4k, l), which implies these cells tend to home to lymph nodes in response to CCL19 [78]. Similar observations were made for the Common Lymphocyte Antigen (CLA), a skin homing-receptor via binding to E selectins [79], in CD26lowCD8+ T cells (Fig. 5L, and Additional file 1: Fig. S4m, n). It is worth mentioning that we did not find any significant difference in the frequency/intensity of T cells expressing either CXCR3 or CXCR4 among CD26neg/CD26low/CD26high CD8+ T cells in CLL patients (Additional file 1: Fig. S4o–r). Finally, we investigated the expression of CCR4 and found a higher advantage of CD26+ versus their CD26neg CD8+ T cells counterparts for the expression of this skin homing receptor[75] (Additional file 1: Fig. S4s). To better delineate the migration capabilities of CD26neg/CD26+CD8+ T cells, we performed a trans-well migration assay on PBMCs from CLL patients. We observed that CD26neg and CD26high exhibited equally but significantly higher migratory capacity than their CD26low counterparts toward a general chemoattractant (Fetal bovine serum 10%) when examined after 18 h (Fig. 5M, N). However, CD26high cells displayed an enhanced migration ability towards RANTES and IL-18 compared to CD26neg/CD26low CD8+ T cells, possibly due to higher expression of CCR5 and IL-18R \(\alpha\) (Fig. 5M, O, P). We also measured the proportion of CD69-expressing cells among different CD26± subsets. CD69, as an early activation marker, is reported to regulate the retention of T cells from the periphery into tissues to generate tissue-resident memory T cells [80]. Interestingly, we noted that CD26high subset was significantly enriched with CD69 expressing cells compared to CD26neg/low CD8+ T cells in CLL patients (Additional file 1: Fig. S5a, b). Collectively, our results suggest that CD26highCD8+ T cells have a greater migratory trait to peripheral organs such as the gut, mucosal surfaces, and inflamed tissues. In contrast, the CD26low subset has a higher homing capacity to lymph nodes and skin.

CD26lowCD8+ T cells are long-lived compared to CD26neg/highCD8+ T cells

To evaluate the survival capacity of these three subpopulations of CD8+ T cells, we subjected them to KLRG1 and CD127 (IL-7R \(\alpha )\) expression analysis because long-lived T cells express high levels of CD127 but low levels of KLRG1 [81]. Our studies show that CD26lowCD8+ T cells have higher levels of CD127 but lower levels of KLRG1 expression in CLL patients (Fig. 6A, B). Given these observations, we next examined CD26neg/low/high cells in terms of apoptosis. This apoptotic assay confirmed the longevity of CD26lowCD8+ T cells as they showed lesser Annexin-V expression than their CD26neg and CD26high counterparts (Fig. 6C, D). In parallel, we measured the frequency of T stem cell memory (TSCM) [63] (CD45RA+CCR7+CD95+) in CD26neg, CD26low, and CD26high subsets of CD8+ T cells. These analyses revealed that the CD26low subset had a significantly higher proportion of TSCM cells compared to their CD26neg/high counterparts, supporting a higher self-renewal propensity (Additional file 1: Fig. S5c).
As CD8+ T cells acquire terminal differentiation phenotype, they upregulate the expression of CD57 and/or CD16 along with GzmB and perforin. As a result, we observed a higher expression of CD57 and CD16 among CD26neg CD8+ T cells (Fig. 6E, F, and Additional file 1: Fig. S5d). This is consistent with our previous observation of a higher GzmB and perforin expression in this subpopulation (Fig. 3A, B).

CD26highCD8+ T cells are sensitive to Galectin-9 (Gal-9) induced apoptosis

To better investigate the mechanism associated with decreased CD26 frequency in CLL patients, we treated PBMCs from HCs with plasma (10%) obtained from CLL patients. After overnight culture, we found a significant reduction in the intensity of CD26 expression (Additional file 1: Fig. S5e, f). This observation suggested the presence of potential soluble mediator (s) in reducing CD26 expression in CLL patients. To identify the potential soluble factor, we performed multiplex ELISA and quantified 20 different cytokines/chemokines (Additional file 1: l Fig. S5g, h). We tested the effects of some of the most abundant cytokines on CD26 expression, however, these cytokines exhibited no effects or increased the intensity of CD26 expression in CD8 T cells (Additional file 1: Fig. S5i–n). Next, we measured the levels of TGF-β as a potential contributing factor in the attenuation of CD26, as reported in human breast cancer [82]. Although total TGF-β levels were the same in HCs and CLL patients, we noted a significant decrease in the plasma levels of active form of TGF-β in CLL patients (Additional file 1: Fig. S5o, p). In agreement with the other report in breast cancer, we observed a significant decline in CD26 expression upon treatment with TGF-β in vitro (Additional file 1: Fig. S5q). Notably, we discovered a moderate but inverse correlation between the plasma free TGF-β level with the percentages of CD26-expressing CD8+ T cells in CLL patients (Additional file 1: Fig. S5r). Although TGF-β may contribute to the reduction of CD26 levels, CLL patients had significantly lower levels of this cytokine in their plasma than HCs.
Considering the apoptotic effects of Gal-9 on highly activated CD8+ T cells [83, 84] and our previous studies [53] [85] we hypothesized that Gal-9 might contribute to the depletion of highly polyfunctional CD26highCD8+ T cells in CLL. Therefore, we found a significant elevation in the plasma Gal-9 levels in CLL patients versus HCs (Fig. 6G).
To test our hypothesis, we treated total CD8+ T cells from HCs with recombinant human Gal-9 (0.02 \(\mu g/ml,\) physiologically relevant to the plasma levels) for 18 h. We observed a significant decrease in the frequency of the CD26high subset (Fig. 6H, I), which was consistent with more robust apoptosis of CD26highCD8+ T cells Fig. 6J, K). Overall, we discovered that Gal-9 exhibited a more pronounced apoptotic effect on the CD26high population than the CD26low and CD26neg subsets (Additional file 1: Fig. S5s). To identify the possible source of Gal-9, we cultured PBMCs from CLL and HCs overnight in vitro and subjected their culture supernatants to Gal-9 quantification. This study revealed a significantly higher Gal-9 shedding in PBMCs from CLL patients (Additional file 1: Fig. S5t). Our further analysis confirmed B-CLLs as the major source of Gal-9 when compared to their non-B-CLL counterparts (Fig. 6L). Moreover, we found significantly higher levels of intracytoplasmic Gal-9 in B-CLL compared to healthy B cells (Fig. 66M, N). These results suggest that malignant B cells are a significant source of increased Gal-9 in CLL. Also, due to the elevated levels of plasma IL-18, IL-12, and IL-15 in CLL patients (Additional file 1: Fig. S5u–w), we assessed the potential effects of these cytokines on CD26 expression. We found that this cytokine cocktail, at physiological concentration detected in the plasma, significantly enhanced apoptosis of CD26highCD8+ T cells (Fig. 6O, P, and Additional file 1: Fig. S6a). Overall, these observations suggest that B-CLL cells as a major source of elevated Gal-9 in CLL plasma could contribute to the depletion of CD26highCD8+ T cells. Alternatively, IL-18 + IL-12 + IL-15 may promote apoptosis of CD26highCD8+ T cells in CLL. However, these cytokines individually do not impact the expression of CD26.

CD26+ T cells in mice have a different phenotype than their counterparts in humans

To investigate further the role of CD26 cells in an animal model, we measured the frequency of CD26 in CD8+ T cells of BALB/c mice. Surprisingly, we found that nearly 100% of CD8+ T cells in mice regardless of their niche expressed CD26 (e.g. thymus, blood, and spleen) (Additional file 1: Fig. S6b, c). In addition, we did not see CD26high/low subpopulations in CD8+ T cells of mice, therefore, the CD26 expression pattern is completely different in mice than humans. More importantly, our observations show that CD26highCD8+ T cells are enriched with MAIT cells in humans (Fig. 2); however, mice MAIT cells have a CD44highCD62LOW phenotype [86]. These observations demonstrate that CD26-expressing cells have a different phenotype in humans than mice.

Discussion

CD8+ T cells become dysfunctional/exhausted during chronic conditions such as cancer [85, 87]. Clinical approaches such as immune checkpoint blockers and adoptive immune cell therapies have shown promising outcomes in different cancer types. One advantage of adoptive cell therapy is identifying and infusing selected polyfunctional CD8+ T cells with enhanced antitumor properties into cancer patients. Our study provides a novel insight into the immunological properties of CD26+CD8+ T cells in CLL patients. We observed significant decline of polyfunctional CD26+CD8+ T cells in CLL patients.
First, we stratified CD26+CD8+ T cells into CD26low/CD26high and observed that the percentage and total number of these cells were declined in CLL patients. We discovered that CD26highCD8+ T cells were mainly transitional and effector memory cells, as reported elsewhere [28]. However, the CD26low subset was highly enriched with naïve, stem cell and central memory CD8+ T cells. Our finding that both CD26high and CD26low were augmented with CD27+ T cells suggests that such cells may have a selective advantage compared to CD26negCD8+ T cells. The increased proliferative capacity and IL-2 production by CD26high/CD26low cells likely reflect a costimulatory signal from CD27 vis NF-κB activation [88]. The presence of such signal from CD27 may contribute to the enhanced survival and persistence of antigen-specific CD8+ T cells to protect the host from malignancy, as reported in HIV-infected individuals [89]. Moreover, we found that CD26highCD8+ T cells displayed a Tc1/Tc17 phenotype. This was illustrated by the abundance of CXCR3/CCR6/CCR4 expressing cells in this subpopulation [72]. Notably, we noted that CD26highCD8+ T cells had a prominent propensity to exhibit cytotoxic properties by high expression of GzmB, perforin, and IFN \(-\gamma\) upon stimulation with a cytokine cocktail (IL-12 + IL-18 + IL-15) or TCR, as reported for MAIT cells [90]. Of note, CD26+CD8+ T cells exhibited a more robust response to the cytokine cocktail than TCR-induced stimulation. Furthermore, they displayed a greater IL-2 expression capacity. This intrinsic IL-2 production capacity of CD26highCD8+ T cells may enable them to have a stemness-like feature as reported in chronic viral infection[91]. In addition, elevated GzmK contents in CD26highCD8+ T cells in a quiescent state, along with stimulation-induced upregulation of GzmB, further support their polyfunctionality [92].
Moreover, we characterized CD26+CD8+ T cells based on the defined surrogate markers for MAIT cells (CD161high TV \(\alpha\) 7.2+) [65]. Although CD26highCD8+ T cells were enriched with MAIT-like cells, they display a heterogenous subset of CD8+ T cells in CLL patients. This is consistent with another reports that MAIT-like surrogate markers can be affected by the disease status [65] and are not definite markers for MAIT cell identification. To overcome this issue, the implication of MR-1 tetramers as a confirmatory approach for the identification of MAIT cells within CD26highCD8+ T cells has been suggested [65]. Also, we noted a higher ROR \(\gamma \delta\) expression in CD26high CD8+ T cells in favor of a Tc17 or MAIT17 phenotype [72]. The plasticity of Tc17 cells and their either protective or pathogenic role in the context of cancer has been the subject of controversy [93]. Therefore, further studies are required to appreciate better the role of CD26highCD8+ T cells in CLL patients and other solid cancers.
Moreover, we found that CD26highCD8+ T cells express elevated levels of IL-18R \(\alpha\), which enables them to respond to cytokine-induced stimulation (e.g. IL-18) and migrate toward the inflammation site as reported for MAIT cells in bacterial infection [94].
In addition, we found it intriguing that CD26highCD8+ T cells express chemokine receptors such as CCR5, CCR6, integrin-\(\beta 7,\) and CD69, which possibly promotes the trafficking of CD26highCD8+ T cells into inflamed tissues (mucosal sites) and tumors. Collectively, these capabilities signify the multifunctional and plasticity of CD26high cells to protect against bacterial infections and tumors. Based on our observations, we posit that CD26highCD8+ T cell deficiency might be one potential explanation for the increased susceptibility to recurrent bacterial infections and tumor progression in CLL patients. Therefore, CD26highCD8+T cells may employ key mechanisms such as polyfunctionality, migration, and stemness to survive and destroy cancer cells, as reported for MAIT cells [95].
In contrast to CD26highT cells, we discovered that CD26lowCD8+ T cells mainly were naïve, stem cells memory, and central memory, but their frequency gradually decreased as they differentiated into transitional memory, effector memory, and effector T cells. Although CD26high and CD26lowCD8+ T cells displayed some similar characteristics, they were distinct in many aspects. For instance, CD26lowCD8+ T cells acquired cytotoxic properties upon TCR and cytokine-triggered stimulation. In addition, we observed that CD26lowCD8+ T cells were long-lived memory T cells (CD127+ KLRG1) with higher proliferative capabilities and more stemness-cell- like features, as reported elsewhere [96]. These properties make CD26lowCD8+ T cells a potential reservoir of long-lived memory cells with crucial roles in immune homeostasis and response to tumor cells.
To gain a better insight into different CD8+ T cell subsets, we also studied CD26negCD8+ T cells in CLL and HCs. These studies revealed that CD26negCD8+ T cells mimicked antigen-experienced T cells. The main crowd of CD25negCD8+ T cells closely resembled transitional, effector memory, and effector T cells. We found that CD26neg T cells enriched with CXCR3/CCR4 expression and displayed a Tc1/Tc2 profile. Furthermore, these cells contained high levels of GzmB and perforin content in the absence of reactivation, and TCR or cytokine-mediated stimulation did not impact their cytolytic molecules expression capabilities in vitro. This suggests that CD26negCD8+ T cells are at their maximum functional potentials with minimal plasticity. In addition to cytolytic properties (high GzmB, perforin, and CD107 expression), CD26neg T cells had elevated levels of CD57 and CD16, which fulfills the criteria of terminal effector T cells [97, 98]. Moreover, we found that CD26neg T cells express elevated levels of co-inhibitory receptors (e.g., CD160, TIGIT, 2B4, CD39) but lower levels of co-stimulatory receptors (e.g., CD28, CD27). These observations beg the question of whether CD26neg T cell display an exhausted phenotype in CLL patients. This hypothesis was supported by their lower cytokine expression (e.g. IFN-γ and IL-2), proliferative capacity, and minimal responsiveness to in vitro stimulation.
We found it intriguing that CD26neg T cells substantially had lower CD28 expression than their CD26low/high siblings. Although we were unable to delineate the underlying mechanism, gradual downregulation of CD28 expression in T cells in response to chronic antigenic stimulation and aging has been reported [99], as we observed in our cohort (Additional file 1: Fig. S6d). Also, the elevated expression of CD57 levels in the CD26neg T cell subpopulation supports the concept of chronic antigen-dependent differentiation and proliferation [100].
Although the role of CD26+CD8+ T cells in cancer models has not been investigated, polyfunctional CD4+CD26high T cells display markers of stemness/migration and elicit anti-tumor activity in different malignancies [26]. On the contrary, the expression of CD26+ on cancer cells is linked to stemness, invasiveness, and increased metastatic capability [101]. Moreover, the enzymatic activity of CD26 in cancer models has not been fully understood. For example, one group reported that CD26 inhibition was associated with improved anti-tumor immunity [102]. However, another group showed that CD26 inhibition promotes tumor progression/metastasis [103]. As such, further investigation on the immunological role of CD26 beyond T cells in cancer models is needed. Such studies will enable us to determine whether genetic or therapeutic manipulation of CD26 expression can promote anti-tumor immunity.
This is the first study, to our knowledge, that characterizes human CD8+ T cell subsets by CD26 expression and analyses their effector functions in CLL patients versus HCs. Specifically, our major findings are fourfold. The major results of our findings are summarized in the table shown in Fig. 7A. Firstly, we found that CD8+ T cells expressing either low or high levels of CD26 were decreased in CLL patients. Secondly, our observations revealed that CD26low/high T cells were not terminally differentiated compared to CD26neg T cells. The CD26high T cell subset had transitional/effector memory and CD26low naïve and stem cell/central memory phenotype. Thirdly, the higher migration capacity of CD26+ T cells may support their trafficking to lymph nodes and inflamed organs or the tumor microenvironment (TME). Whether this migratory capacity explains their deficiency in blood circulation needs to be determined. Fourthly, our finding that CD26high/CD26low CD8+ T cells are polyfunctional and exhibit greater migratory capacity, stemness, longevity, and proliferation capability make them a potential candidate for adoptive T cell transfer or CAR T cell therapy in CLL. Moreover, we found elevated levels of Gal-9 in the plasma of CLL patients. Considering particular apoptotic properties of Gal-9 on CD8+ T cells, we discovered that CD26highCD8+ T cells were susceptible to apoptosis following exposure to Gal-9 and IL18 + IL12 + IL-15 in vitro. Therefore, the inflammatory milieu of CLL with the elevated levels of IL-18, IL-12, IL-15, and Gal-9 that are released from CLL cells might explain a mechanism that results in the reduction of CD26highCD8+ T cells pool in CLL (Fig. 7B). More importantly, Gal-9 is strongly associated with the elevation of pro-inflammatory cytokines/chemokines [54]. As such, Gal-9 might be involved in the inflammatory cascade and indirectly compromises anti-tumor immunity by depleting polyfunctional CD26+CD8+ T cells in CLL. Whether targeting Gal-9 could prevent the elimination of CD26+ T cells in CLL merits further investigations.
We are aware of multiple study limitations. The age factor might impact CD26+ T cell frequency [104]; however, this was not the case in our cohort.
Notably, a decline in CD26+CD8+ T cells has been reported in chronic viral infections such as HIV, CMV, and EBV [33]. Therefore, there is a possibility that CD26highCD8+ T cells, due to their enhanced trafficking abilities, are attracted to the gut and inflamed tissues whereas CD26low T cells are more likely to home to skin and lymph nodes. From another perspective, decreased CD26+CD8+ T cells might be considered as a potential predisposing mechanism for increased infection rates in CLL patients. Another limitation of our study was a small/single-centered cohort. Therefore, we strongly recommend performing similar studies in larger multiple-centered cohorts and different hematological malignancies and solid tumors to appreciate better the role of CD26+CD8+ T cells in cancer. Although we know that T cells in the blood circulation differ strongly from lymph node-derived T cells in CLL, performing such an invasive procedure is uncommon in CLL patients.
Finally, we could not obtain a larger blood volume for conducting more in-depth analysis such as RNAseq or single-cell sequencing on different CD26+ T cell subsets in CLL patients. Such studies will enable us to better characterize this T cell subset for therapeutic interventions.

Conclusion

In conclusion, our findings demonstrate the depletion of highly polyfunctional CD26+CD8+ T in CLL. These cells exhibit greater migratory capacity, stemness, longevity, and proliferation capability, which make them a potential candidate for adoptive T cell transfer or CAR T cell therapy in CLL. Considering the role of CD26: ADA in converting adenosine to inosine, CD26+ T cells could bypass the immune suppressive effects of adenosine in the TME and periphery. Also, our results indicate the involvement of Gal-9 in the inflammatory cascade and indirectly compromises anti-tumor immunity by depleting polyfunctional CD26highCD8+ T cells in CLL. Therefore, targeting Gal-9 to persevere polyfunctional T cells in CLL merits further investigations and should be considered.

Acknowledgements

We thank all the volunteers who supported this study by donating their samples and dedicating their time, and the staff at the CLL clinic and medical laboratory at the Cross-Cancer Institute (CCI) for sample collection. We also would like to thank Faculty of Medicine and Dentistry’s flow core facility at the University of Alberta.

Declarations

This study was reviewed and approved by the Health Research Ethics Board of Alberta, Cancer Committee (HREBA#CC-17-0307). All participants provided informed written consent to participate in this study. Moreover, animal studies were approved by the animal ethics board at the University of Alberta with the protocol number AUP0001021.
All authors consented to publish the study.

Competing interests

The authors declare that they have no competing interests.
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Anhänge

Supplementary Information

Additional file 1: Figure. S1. a Representative flow plot of the purity of isolated CD3+ T cells, (b) CD3+CCR7- cells, and (c) CD19+ B cells. d Representative flow plots of the gating strategy for CD26 staining in CD8+ T cells. e Cumulative data showing the number of CD26low and CD26high CD8+ T cells as normalized in 100,000 CD8+ T cells in HC and CLL patients. f Cumulative data comparing the Mean Fluorescence Intensity (MFI) of CD26 in CD26low and CD26high CD8+ T cells. g Cumulative data comparing the frequency of CD26+CD8+ T cells in female versus male CLL patients. h Correlation between the age of CLL patients and the frequency of CD26+CD8+ T cells. i Cumulative data comparing the frequency of CD26+ and, (j) CD26low, CD26high CD8+ T cells in treated versus non-treated CLL. k Cumulative data are comparing the proportion of CD26+CD8+ T cell in three clinical stages of CLL (Low/Intermediate/high) based on the Rai staging system. l Correlation between CD26+CD8+ T cell frequency and lymphocyte counts (x103/\(\mu\)l) in CLL. m Representative flow plots, and (n) cumulative data of the frequency of CD26 among CD3- and CD3+ T cells in HC and CLL. (o) Cumulative data showing the frequency of CD26+CD4+ T cells, and (p) CD56+NK cells in HC versus CLL. q Cumulative data showing the MFI of CD26 in B cells from HCs and malignant B cells (B-CLL). r Cumulative data of the concentrations of soluble CD26 (ng/ml) in the plasma of HC and CLL. s Cumulative data of the frequency of CD26+, and (t) CD26low, CD26high CD8+ T cell in the peripheral blood versus bone marrow of CLL. u Cumulative data of CD26 mRNA expression in CD8+ T cells of HCs vs. CLL (n=15). Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S2. a Representative plots, and (b) cumulative data of the frequency of CD8+ T cell subsets (e.g. naïve, stem cell memory, central memory, transitional memory, effector memory, and effectors). c Representative flow plots, and (d) cumulative data showing the frequency of CD27 expressing cells among CD26neg/low/high effector memory subsets of CD8+ T cells in CLL. e Representative plots, and (f) Cumulative data of the frequency of TV\(\alpha\)7.2+CD161high in CD26high CD8+ T cells in HC. g Cumulative data of the frequency of TV\(\alpha\)7.2+ CD161high in CD26highCD8+ T cells in HC versus CLL. h Cumulative data of the frequency of CD160+, (i) 2B4+, (j) PD-1+, (k) TIGIT+, (l) ICOS+, (m) CD28+ , (n) CD27+, (o) CD39+ , and (p) CD73+ among CD26neg, CD26low, and CD26high CD8+ T cells in HC. q Representative plots of the co-expression of CD26 and CD73 in different CD8+ T cell subsets (naïve, central memory, effector memory, and effector) in CLL. r The pie charts show the pattern of CD26 and CD73 co-expression in different CD8+ T cell subsets in CLL. s Cumulative data of the frequency of CD26+CD73+ versus CD26+CD73- in CD8+ T cells of HC versus CLL. t Cumulative data of the frequency of co-inhibitory/co-stimulatory receptors in CD26highCD8+ T cell subset in HC and CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S3. a Cumulative data of the frequency of co-inhibitory/co-stimulatory receptors in CD26neg CD8+ T cell subset in HC and CLL. b Cumulative data of the frequency of GzmB+, (c) Perforin+, and (d) GzmB+Perforin+ among CD26neg, CD26low, and CD26high CD8+CCR7- T cells in CLL. e Cumulative data of the frequency of GzmB+, (f) Perforin+, and (g) GzmB+Perforin+ CD8+ T cells among CD26neg, CD26low, and CD26high subsets in HC. h Representative plots, and (i) cumulative data of the frequency of GzmB and perforin expressing cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL either unstimulated (black color) or stimulated for following 5 h with anti-CD3/CD28 (3\(\mu\)g/ml, 1\(\mu\)g/ml). j Cumulative data of the frequency of TNF-\(\alpha\)+, (k) IFN-\(\gamma\)+, and (l) TNF-\(\alpha\)+IFN-\(\gamma\)+ cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. m Cumulative data of the frequency of TNF-\(\alpha\)+, (n) IFN-\(\gamma\)+, and (o) TNF-\(\alpha\)+IFN-\(\gamma\)+ among CD26neg, CD26low, and CD26high CD8+ T cells in HC. p Representative plots, and cumulative data of the frequency of (q) CCR4+CCR6+ cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc17 cells. r Representative plots, and (s) cumulative data of the frequency of CXCR3+CCR6+ expressing cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc1/Tc17 cells. t Cumulative data of the frequency of CXCR3+CCR6- among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc1 cells. u Cumulative data showing the frequency of CCR4+CCR6- among CD26neg, CD26low, and CD26high CD8+ T cells in CLL, considered as Tc2 cells. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Florescence minus one (FMO). Figure. S4. a Cumulative data of the expression of T-bet in different CD8+ T cells subsets in CLL. b Cumulative data of the expression of FOXP3 in different CD8+ T cells subsets in CLL. c Representative plots, and (d) cumulative data showing the intensity (MFI) of TOX expression among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. e Representative plots, and (f) cumulative data showing the intensity (MFI) of CCR5 expression among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. g Representative plots, and (h) cumulative data showing the intensity of CCR6 expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. i Representative plots, and (j) cumulative data showing the intensity of Integrin-\(\beta 7\) expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. k Representative plots, and (l) cumulative data of the intensity of CCR7 expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. m Representative plots, and (n) cumulative data of the intensity of CLA (Cutaneous Lymphocyte Antigen) expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. o Cumulative data of the frequency, and (p) the intensity of CXCR3+ expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. q Cumulative data of the frequency, and (r) the intensity of CXCR4+ expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. s Cumulative data of the intensity of CCR4 expression in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S5. a Representative plots, and (b) cumulative data of the frequency of CD69 expressing cells among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. c Cumulative data showing the frequency of TSCM (T Stem Cell Memory: CCR7+ CD45RA+CD95+) among CD26neg, CD26low, and CD26high CD8+ T cells in CLL. d Cumulative data showing the frequency of CD16+ in CD26neg, CD26low, and CD26high CD8+ T cells in CLL. e Representative histogram plots, and (f) cumulative data of CD26 expression in CD8+ T cells upon culture with 10% plasma. (g, h) showing detected plasma concentrations of different cytokines and chemokines in CLL versus HCs. Cumulative data showing the intensity of CD26 in the presence/absence of (i) TNF-α, (j) IL-16, (k) IFN-γ, (l) IL-6, (m) IL-10, and (n) IFN-α. o Detected total plasma TGF-β and (p) free TGF-β in CLL versus HCs. q Cumulative data showing the intensity of CD26 expression in CD8+ T cells in the presence/absence of free TGF-β. r The correlation of plasma free TGF-β with the frequency of CD26+CD8+ T cells in CLL patients. s Cumulative data showing the intensity of Annexin-V expression in CD26neg, CD26low, and CD26high CD8+ T cells from CLL patients following treatment with recombinant human Gal-9 (0.02 \(\mu\)g/ml) in-vitro. t Concentrations of Gal-9 (pg/ml) in supernatants of PBMCs (1× 106 cells/well) from HC and CLL were collected 18 h post culture. u Concentrations of IL-18 (pg/ml) (v) IL-12/IL-23p40 (pg/ml), and (w) IL-15 (pg/ml) in the plasma of HC versus CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample. Figure. S6. a Cumulative data showing the intensity of Annexin-V expression in CD26neg, CD26low, and CD26high CD8+ T cells from CLL patients following 8 h of culture in the presence of a cytokine cocktail (IL-18+IL-12+IL-15 (100 ng/ml of each)). b Representative flow cytometry plots, and (c) cumulative data of CD26-expressing cells among CD8+ T cells in the thymus, blood, and spleen of BALB/c mice. d Cumulative data showing the frequency of CD28+CD8+ T cells in HC versus CLL. Error bars represent the median with an interquartile range. Each dot represents an individual human sample or a mouse. Florescence minus one (FMO).
Literatur
1.
Zurück zum Zitat Engel M, Hoffmann T, Wagner L, Wermann M, Heiser U, Kiefersauer R, et al. The crystal structure of dipeptidyl peptidase IV (CD26) reveals its functional regulation and enzymatic mechanism. Proc Natl Acad Sci U S A. 2003;100:5063–8.CrossRef Engel M, Hoffmann T, Wagner L, Wermann M, Heiser U, Kiefersauer R, et al. The crystal structure of dipeptidyl peptidase IV (CD26) reveals its functional regulation and enzymatic mechanism. Proc Natl Acad Sci U S A. 2003;100:5063–8.CrossRef
3.
Zurück zum Zitat Ahrén B, Hughes TE. Inhibition of dipeptidyl peptidase-4 augments insulin secretion in response to exogenously administered glucagon-like peptide-1, glucose-dependent insulinotropic polypeptide, pituitary adenylate cyclase-activating polypeptide, and gastrin-releasing peptide in mice. Endocrinology. 2005;146:2055–9.CrossRef Ahrén B, Hughes TE. Inhibition of dipeptidyl peptidase-4 augments insulin secretion in response to exogenously administered glucagon-like peptide-1, glucose-dependent insulinotropic polypeptide, pituitary adenylate cyclase-activating polypeptide, and gastrin-releasing peptide in mice. Endocrinology. 2005;146:2055–9.CrossRef
4.
Zurück zum Zitat Chitadze G, Wehkamp U, Janssen O, Brüggemann M, Lettau M. The serine protease CD26/DPP4 in non-transformed and malignant T Cells. Cancers. 2022;13:5947.CrossRef Chitadze G, Wehkamp U, Janssen O, Brüggemann M, Lettau M. The serine protease CD26/DPP4 in non-transformed and malignant T Cells. Cancers. 2022;13:5947.CrossRef
5.
Zurück zum Zitat Abbott CA, Baker E, Sutherland GR, McCaughan GW. Genomic organization, exact localization, and tissue expression of the human CD26 (dipeptidyl peptidase IV) gene. Immunogenetics. 1994;40:331–8.CrossRef Abbott CA, Baker E, Sutherland GR, McCaughan GW. Genomic organization, exact localization, and tissue expression of the human CD26 (dipeptidyl peptidase IV) gene. Immunogenetics. 1994;40:331–8.CrossRef
6.
Zurück zum Zitat Morimoto C, Torimoto Y, Levinson G, Rudd CE, Schrieber M, Dang NH, et al. 1F7, a novel cell surface molecule, involved in helper function of CD4 cells. J Immunol Baltim Md. 1950;1989(143):3430–9. Morimoto C, Torimoto Y, Levinson G, Rudd CE, Schrieber M, Dang NH, et al. 1F7, a novel cell surface molecule, involved in helper function of CD4 cells. J Immunol Baltim Md. 1950;1989(143):3430–9.
7.
Zurück zum Zitat Bühling F, Junker U, Reinhold D, Neubert K, Jäger L, Ansorge S. Functional role of CD26 on human B lymphocytes. Immunol Lett. 1995;45:47–51.CrossRef Bühling F, Junker U, Reinhold D, Neubert K, Jäger L, Ansorge S. Functional role of CD26 on human B lymphocytes. Immunol Lett. 1995;45:47–51.CrossRef
8.
Zurück zum Zitat Bühling F, Kunz D, Reinhold D, Ulmer AJ, Ernst M, Flad HD, et al. Expression and functional role of dipeptidyl peptidase IV (CD26) on human natural killer cells. Nat Immun. 1994;13:270–9. Bühling F, Kunz D, Reinhold D, Ulmer AJ, Ernst M, Flad HD, et al. Expression and functional role of dipeptidyl peptidase IV (CD26) on human natural killer cells. Nat Immun. 1994;13:270–9.
9.
Zurück zum Zitat Gliddon DR, Howard CJ. CD26 is expressed on a restricted subpopulation of dendritic cells in vivo. Eur J Immunol. 2002;32:1472–81.CrossRef Gliddon DR, Howard CJ. CD26 is expressed on a restricted subpopulation of dendritic cells in vivo. Eur J Immunol. 2002;32:1472–81.CrossRef
10.
Zurück zum Zitat Shah Z, Kampfrath T, Deiuliis JA, Zhong J, Pineda C, Ying Z, et al. Long-term dipeptidyl-peptidase 4 inhibition reduces atherosclerosis and inflammation via effects on monocyte recruitment and chemotaxis. Circulation. 2011;124:2338–49.CrossRef Shah Z, Kampfrath T, Deiuliis JA, Zhong J, Pineda C, Ying Z, et al. Long-term dipeptidyl-peptidase 4 inhibition reduces atherosclerosis and inflammation via effects on monocyte recruitment and chemotaxis. Circulation. 2011;124:2338–49.CrossRef
11.
Zurück zum Zitat Shahbaz S, Xu L, Osman M, Sligl W, Shields J, Joyce M, et al. Erythroid precursors and progenitors suppress adaptive immunity and get invaded by SARS-CoV-2. Stem Cell Rep. 2021;16:1165–81.CrossRef Shahbaz S, Xu L, Osman M, Sligl W, Shields J, Joyce M, et al. Erythroid precursors and progenitors suppress adaptive immunity and get invaded by SARS-CoV-2. Stem Cell Rep. 2021;16:1165–81.CrossRef
12.
Zurück zum Zitat Dang NH, Torimoto Y, Shimamura K, Tanaka T, Daley JF, Schlossman SF, et al. 1F7 (CD26): a marker of thymic maturation involved in the differential regulation of the CD3 and CD2 pathways of human thymocyte activation. J Immunol Baltim Md. 1950;1991(147):2825–32. Dang NH, Torimoto Y, Shimamura K, Tanaka T, Daley JF, Schlossman SF, et al. 1F7 (CD26): a marker of thymic maturation involved in the differential regulation of the CD3 and CD2 pathways of human thymocyte activation. J Immunol Baltim Md. 1950;1991(147):2825–32.
13.
Zurück zum Zitat Yan S, Marguet D, Dobers J, Reutter W, Fan H. Deficiency of CD26 results in a change of cytokine and immunoglobulin secretion after stimulation by pokeweed mitogen. Eur J Immunol. 2003;33:1519–27.CrossRef Yan S, Marguet D, Dobers J, Reutter W, Fan H. Deficiency of CD26 results in a change of cytokine and immunoglobulin secretion after stimulation by pokeweed mitogen. Eur J Immunol. 2003;33:1519–27.CrossRef
14.
Zurück zum Zitat Pinheiro MM, Stoppa CL, Valduga CJ, Okuyama CE, Gorjão R, Pereira RMS, et al. Sitagliptin inhibit human lymphocytes proliferation and Th1/Th17 differentiation in vitro. Eur J Pharm Sci Off J Eur Fed Pharm Sci. 2017;100:17–24. Pinheiro MM, Stoppa CL, Valduga CJ, Okuyama CE, Gorjão R, Pereira RMS, et al. Sitagliptin inhibit human lymphocytes proliferation and Th1/Th17 differentiation in vitro. Eur J Pharm Sci Off J Eur Fed Pharm Sci. 2017;100:17–24.
15.
Zurück zum Zitat Yegutkin GG. Nucleotide- and nucleoside-converting ectoenzymes: Important modulators of purinergic signalling cascade. Biochim Biophys Acta. 2008;1783:673–94.CrossRef Yegutkin GG. Nucleotide- and nucleoside-converting ectoenzymes: Important modulators of purinergic signalling cascade. Biochim Biophys Acta. 2008;1783:673–94.CrossRef
16.
Zurück zum Zitat Dong RP, Kameoka J, Hegen M, Tanaka T, Xu Y, Schlossman SF, et al. Characterization of adenosine deaminase binding to human CD26 on T cells and its biologic role in immune response. J Immunol. 1996;156:1349–55.CrossRef Dong RP, Kameoka J, Hegen M, Tanaka T, Xu Y, Schlossman SF, et al. Characterization of adenosine deaminase binding to human CD26 on T cells and its biologic role in immune response. J Immunol. 1996;156:1349–55.CrossRef
17.
Zurück zum Zitat Kameoka J, Tanaka T, Nojima Y, Schlossman SF, Morimoto C. Direct association of adenosine deaminase with a T cell activation antigen, CD26. Science. 1993;261:466–9.CrossRef Kameoka J, Tanaka T, Nojima Y, Schlossman SF, Morimoto C. Direct association of adenosine deaminase with a T cell activation antigen, CD26. Science. 1993;261:466–9.CrossRef
18.
Zurück zum Zitat Martín M, Huguet J, Centelles JJ, Franco R. Expression of ecto-adenosine deaminase and CD26 in human T cells triggered by the TCR-CD3 complex possible role of adenosine deaminase as costimulatory molecule. J Immunol Baltim. 1995;155:4630–43.CrossRef Martín M, Huguet J, Centelles JJ, Franco R. Expression of ecto-adenosine deaminase and CD26 in human T cells triggered by the TCR-CD3 complex possible role of adenosine deaminase as costimulatory molecule. J Immunol Baltim. 1995;155:4630–43.CrossRef
19.
Zurück zum Zitat Ohnuma K, Uchiyama M, Yamochi T, Nishibashi K, Hosono O, Takahashi N, et al. Caveolin-1 triggers T-cell activation via CD26 in association with CARMA1. J Biol Chem. 2007;282:10117–31.CrossRef Ohnuma K, Uchiyama M, Yamochi T, Nishibashi K, Hosono O, Takahashi N, et al. Caveolin-1 triggers T-cell activation via CD26 in association with CARMA1. J Biol Chem. 2007;282:10117–31.CrossRef
21.
Zurück zum Zitat Lambeir AM, Proost P, Durinx C, Bal G, Senten K, Augustyns KD, Meester I. Kinetic investigation of chemokine truncation by CD26/dipeptidyl peptidase IV reveals a striking selectivity within the chemokine family. J Biol Chem. 2001;276(32):29839–45.CrossRef Lambeir AM, Proost P, Durinx C, Bal G, Senten K, Augustyns KD, Meester I. Kinetic investigation of chemokine truncation by CD26/dipeptidyl peptidase IV reveals a striking selectivity within the chemokine family. J Biol Chem. 2001;276(32):29839–45.CrossRef
22.
Zurück zum Zitat Mortier A, Gouwy M, Van Damme J, Proost P, Struyf S. CD26/dipeptidylpeptidase IV—chemokine interactions: double-edged regulation of inflammation and tumor biology. J Leukoc Biol. 2016;99:955–69.CrossRef Mortier A, Gouwy M, Van Damme J, Proost P, Struyf S. CD26/dipeptidylpeptidase IV—chemokine interactions: double-edged regulation of inflammation and tumor biology. J Leukoc Biol. 2016;99:955–69.CrossRef
23.
Zurück zum Zitat Cheng H-C, Abdel-Ghany M, Pauli BU. A novel consensus motif in fibronectin mediates dipeptidyl peptidase IV adhesion and metastasis. J Biol Chem. 2003;278:24600–7.CrossRef Cheng H-C, Abdel-Ghany M, Pauli BU. A novel consensus motif in fibronectin mediates dipeptidyl peptidase IV adhesion and metastasis. J Biol Chem. 2003;278:24600–7.CrossRef
24.
Zurück zum Zitat Brezinschek RI, Lipsky PE, Galea P, Vita R, Oppenheimer-Marks N. Phenotypic characterization of CD4+ T cells that exhibit a transendothelial migratory capacity. J Immunol Baltim Md. 1950;1995(154):3062–77. Brezinschek RI, Lipsky PE, Galea P, Vita R, Oppenheimer-Marks N. Phenotypic characterization of CD4+ T cells that exhibit a transendothelial migratory capacity. J Immunol Baltim Md. 1950;1995(154):3062–77.
25.
Zurück zum Zitat Bengsch B, Seigel B, Flecken T, Wolanski J, Blum HE, Thimme R. Human Th17 cells express high levels of enzymatically active dipeptidylpeptidase IV (CD26). J Immunol Baltim Md. 1950;2012(188):5438–47. Bengsch B, Seigel B, Flecken T, Wolanski J, Blum HE, Thimme R. Human Th17 cells express high levels of enzymatically active dipeptidylpeptidase IV (CD26). J Immunol Baltim Md. 1950;2012(188):5438–47.
26.
Zurück zum Zitat Bailey SR, Nelson MH, Majchrzak K, Bowers JS, Wyatt MM, Smith AS, et al. Human CD26high T cells elicit tumor immunity against multiple malignancies via enhanced migration and persistence. Nat Commun. 2017;8:1961.CrossRef Bailey SR, Nelson MH, Majchrzak K, Bowers JS, Wyatt MM, Smith AS, et al. Human CD26high T cells elicit tumor immunity against multiple malignancies via enhanced migration and persistence. Nat Commun. 2017;8:1961.CrossRef
27.
Zurück zum Zitat Nelson MH, Knochelmann HM, Bailey SR, Huff LW, Bowers JS, Majchrzak-Kuligowska K, et al. Identification of human CD4+ T cell populations with distinct antitumor activity. Sci Adv. 2020;6:eaba7443.CrossRef Nelson MH, Knochelmann HM, Bailey SR, Huff LW, Bowers JS, Majchrzak-Kuligowska K, et al. Identification of human CD4+ T cell populations with distinct antitumor activity. Sci Adv. 2020;6:eaba7443.CrossRef
28.
Zurück zum Zitat Hatano R, Ohnuma K, Yamamoto J, Dang NH, Morimoto C. CD26-mediated co-stimulation in human CD8(+) T cells provokes effector function via pro-inflammatory cytokine production. Immunology. 2013;138:165–72.CrossRef Hatano R, Ohnuma K, Yamamoto J, Dang NH, Morimoto C. CD26-mediated co-stimulation in human CD8(+) T cells provokes effector function via pro-inflammatory cytokine production. Immunology. 2013;138:165–72.CrossRef
29.
Zurück zum Zitat Yamada Y, Jang J, Meester ID, Inci I, Weder W, Jungraithmayr W. Acute allograft rejection is attenuated By CD26-inhibition through IL-17 suppression in mouse lung transplants. J Heart Lung Transpl. 2015;34:52.CrossRef Yamada Y, Jang J, Meester ID, Inci I, Weder W, Jungraithmayr W. Acute allograft rejection is attenuated By CD26-inhibition through IL-17 suppression in mouse lung transplants. J Heart Lung Transpl. 2015;34:52.CrossRef
30.
Zurück zum Zitat Yamada Y, Jang J-H, Meester ID, Baerts L, Vliegen G, Inci I, et al. CD26 costimulatory blockade improves lung allograft rejection and is associated with enhanced interleukin-10 expression. J Heart Lung Transpl. 2016;35:508–17.CrossRef Yamada Y, Jang J-H, Meester ID, Baerts L, Vliegen G, Inci I, et al. CD26 costimulatory blockade improves lung allograft rejection and is associated with enhanced interleukin-10 expression. J Heart Lung Transpl. 2016;35:508–17.CrossRef
31.
Zurück zum Zitat Zhao X, Zhang K, Daniel P, Wisbrun N, Fuchs H, Fan H. Delayed allogeneic skin graft rejection in CD26-deficient mice. Cell Mol Immunol. 2019;16:557–67.CrossRef Zhao X, Zhang K, Daniel P, Wisbrun N, Fuchs H, Fan H. Delayed allogeneic skin graft rejection in CD26-deficient mice. Cell Mol Immunol. 2019;16:557–67.CrossRef
32.
Zurück zum Zitat Jungraithmayr W, Enz N. CD26 –The emerging role of a costimulatory molecule in allograft rejection. Cell Mol Immunol. 2020;17:1208–9.CrossRef Jungraithmayr W, Enz N. CD26 –The emerging role of a costimulatory molecule in allograft rejection. Cell Mol Immunol. 2020;17:1208–9.CrossRef
33.
Zurück zum Zitat Ibegbu CC, Xu Y-X, Fillos D, Radziewicz H, Grakoui A, Kourtis AP. Differential expression of CD26 on virus-specific CD8(+) T cells during active, latent and resolved infection. Immunology. 2009;126:346–53.CrossRef Ibegbu CC, Xu Y-X, Fillos D, Radziewicz H, Grakoui A, Kourtis AP. Differential expression of CD26 on virus-specific CD8(+) T cells during active, latent and resolved infection. Immunology. 2009;126:346–53.CrossRef
34.
Zurück zum Zitat Vanham G, Kestens L, De Meester I, Vingerhoets J, Penne G, Vanhoof G, et al. Decreased expression of the memory marker CD26 on both CD4+ and CD8+ T lymphocytes of HIV-infected subjects. J Acquir Immune Defic Syndr. 1993;6:749–57. Vanham G, Kestens L, De Meester I, Vingerhoets J, Penne G, Vanhoof G, et al. Decreased expression of the memory marker CD26 on both CD4+ and CD8+ T lymphocytes of HIV-infected subjects. J Acquir Immune Defic Syndr. 1993;6:749–57.
35.
Zurück zum Zitat Morrison ME, Vijayasaradhi S, Engelstein D, Albino AP, Houghton AN. A marker for neoplastic progression of human melanocytes is a cell surface ectopeptidase. J Exp Med. 1993;177:1135–43.CrossRef Morrison ME, Vijayasaradhi S, Engelstein D, Albino AP, Houghton AN. A marker for neoplastic progression of human melanocytes is a cell surface ectopeptidase. J Exp Med. 1993;177:1135–43.CrossRef
36.
Zurück zum Zitat Sharma PK, Wong EB, Napier RJ, Bishai WR, Ndung’u T, Kasprowicz VO, et al. High expression of CD26 accurately identifies human bacteria-reactive MR1-restricted MAIT cells. Immunology. 2015;145:443–53.CrossRef Sharma PK, Wong EB, Napier RJ, Bishai WR, Ndung’u T, Kasprowicz VO, et al. High expression of CD26 accurately identifies human bacteria-reactive MR1-restricted MAIT cells. Immunology. 2015;145:443–53.CrossRef
37.
Zurück zum Zitat Treiner E, Duban L, Bahram S, Radosavljevic M, Wanner V, Tilloy F, et al. Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1. Nature. 2003;422:164–9.CrossRef Treiner E, Duban L, Bahram S, Radosavljevic M, Wanner V, Tilloy F, et al. Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1. Nature. 2003;422:164–9.CrossRef
38.
Zurück zum Zitat Porcelli S, Yockey CE, Brenner MB, Balk SP. Analysis of T cell antigen receptor (TCR) expression by human peripheral blood CD4-8- alpha/beta T cells demonstrates preferential use of several V beta genes and an invariant TCR alpha chain. J Exp Med. 1993;178:1–16.CrossRef Porcelli S, Yockey CE, Brenner MB, Balk SP. Analysis of T cell antigen receptor (TCR) expression by human peripheral blood CD4-8- alpha/beta T cells demonstrates preferential use of several V beta genes and an invariant TCR alpha chain. J Exp Med. 1993;178:1–16.CrossRef
39.
Zurück zum Zitat Kjer-Nielsen L, Patel O, Corbett AJ, Le Nours J, Meehan B, Liu L, et al. MR1 presents microbial vitamin B metabolites to MAIT cells. Nature. 2012;491:717–23.CrossRef Kjer-Nielsen L, Patel O, Corbett AJ, Le Nours J, Meehan B, Liu L, et al. MR1 presents microbial vitamin B metabolites to MAIT cells. Nature. 2012;491:717–23.CrossRef
40.
Zurück zum Zitat Dusseaux M, Martin E, Serriari N, Péguillet I, Premel V, Louis D, et al. Human MAIT cells are xenobiotic-resistant, tissue-targeted, CD161hi IL-17-secreting T cells. Blood. 2011;117:1250–9.CrossRef Dusseaux M, Martin E, Serriari N, Péguillet I, Premel V, Louis D, et al. Human MAIT cells are xenobiotic-resistant, tissue-targeted, CD161hi IL-17-secreting T cells. Blood. 2011;117:1250–9.CrossRef
41.
Zurück zum Zitat Fergusson JR, Smith KE, Fleming VM, Rajoriya N, Newell EW, Simmons R, et al. CD161 defines a transcriptional and functional phenotype across distinct human T cell lineages. Cell Rep. 2014;9:1075–88.CrossRef Fergusson JR, Smith KE, Fleming VM, Rajoriya N, Newell EW, Simmons R, et al. CD161 defines a transcriptional and functional phenotype across distinct human T cell lineages. Cell Rep. 2014;9:1075–88.CrossRef
42.
Zurück zum Zitat Seifert M, Sellmann L, Bloehdorn J, Wein F, Stilgenbauer S, Dürig J, et al. Cellular origin and pathophysiology of chronic lymphocytic leukemia. J Exp Med. 2012;209:2183–98.CrossRef Seifert M, Sellmann L, Bloehdorn J, Wein F, Stilgenbauer S, Dürig J, et al. Cellular origin and pathophysiology of chronic lymphocytic leukemia. J Exp Med. 2012;209:2183–98.CrossRef
45.
Zurück zum Zitat Bozorgmehr N, Okoye I, Oyegbami O, Xu L, Fontaine A, Cox-Kennett N, et al. Expanded antigen-experienced CD160+CD8+effector T cells exhibit impaired effector functions in chronic lymphocytic leukemia. J Immunother Cancer. 2021;9: e002189.CrossRef Bozorgmehr N, Okoye I, Oyegbami O, Xu L, Fontaine A, Cox-Kennett N, et al. Expanded antigen-experienced CD160+CD8+effector T cells exhibit impaired effector functions in chronic lymphocytic leukemia. J Immunother Cancer. 2021;9: e002189.CrossRef
46.
Zurück zum Zitat Wang Y, Achenbach SJ, Rabe KG, Shanafelt TD, Call TG, Ding W, et al. Cause of death in patients with newly diagnosed chronic lymphocytic leukemia (CLL) stratified by the CLL-International prognostic index. Blood Cancer J. 2021;11:1–4.CrossRef Wang Y, Achenbach SJ, Rabe KG, Shanafelt TD, Call TG, Ding W, et al. Cause of death in patients with newly diagnosed chronic lymphocytic leukemia (CLL) stratified by the CLL-International prognostic index. Blood Cancer J. 2021;11:1–4.CrossRef
47.
Zurück zum Zitat Molica S. Second neoplasms in chronic lymphocytic leukemia: incidence and pathogenesis with emphasis on the role of different therapies. Leuk Lymphoma. 2005;46:49–54.CrossRef Molica S. Second neoplasms in chronic lymphocytic leukemia: incidence and pathogenesis with emphasis on the role of different therapies. Leuk Lymphoma. 2005;46:49–54.CrossRef
48.
Zurück zum Zitat Christopoulos P, Pfeifer D, Bartholomé K, Follo M, Timmer J, Fisch P, et al. Definition and characterization of the systemic T-cell dysregulation in untreated indolent B-cell lymphoma and very early CLL. Blood. 2011;117:3836–46.CrossRef Christopoulos P, Pfeifer D, Bartholomé K, Follo M, Timmer J, Fisch P, et al. Definition and characterization of the systemic T-cell dysregulation in untreated indolent B-cell lymphoma and very early CLL. Blood. 2011;117:3836–46.CrossRef
49.
Zurück zum Zitat Landego I, Hewitt D, Hibbert I, Dhaliwal D, Pieterse W, Grenier D, et al. PD-1 inhibition in malignant melanoma and lack of clinical response in chronic lymphocytic leukemia in the same patients: a case series. Curr Oncol. 2020;27:169–72.CrossRef Landego I, Hewitt D, Hibbert I, Dhaliwal D, Pieterse W, Grenier D, et al. PD-1 inhibition in malignant melanoma and lack of clinical response in chronic lymphocytic leukemia in the same patients: a case series. Curr Oncol. 2020;27:169–72.CrossRef
50.
Zurück zum Zitat Mancikova V, Smida M. Current state of CAR T-cell therapy in chronic lymphocytic leukemia. Int J Mol Sci. 2021;22:5536.CrossRef Mancikova V, Smida M. Current state of CAR T-cell therapy in chronic lymphocytic leukemia. Int J Mol Sci. 2021;22:5536.CrossRef
52.
Zurück zum Zitat Bozorgmehr N, Mashhouri S, Perez Rosero E, Xu L, Shahbaz S, Sligl W, et al. Galectin-9, a player in cytokine release syndrome and a surrogate diagnostic biomarker in SARS-CoV-2 infection. Mbio. 2021;12:e00384-21.CrossRef Bozorgmehr N, Mashhouri S, Perez Rosero E, Xu L, Shahbaz S, Sligl W, et al. Galectin-9, a player in cytokine release syndrome and a surrogate diagnostic biomarker in SARS-CoV-2 infection. Mbio. 2021;12:e00384-21.CrossRef
53.
Zurück zum Zitat Shahbaz S, Dunsmore G, Koleva P, Xu L, Houston S, Elahi S. Galectin-9 and VISTA expression define terminally exhausted T cells in HIV-1 infection. J Immunol. 2020;9(2474):2491. Shahbaz S, Dunsmore G, Koleva P, Xu L, Houston S, Elahi S. Galectin-9 and VISTA expression define terminally exhausted T cells in HIV-1 infection. J Immunol. 2020;9(2474):2491.
54.
Zurück zum Zitat Elahi S, Shahbaz S, Houston S. Selective upregulation of CTLA-4 on CD8+ T cells restricted by HLA-B*35Px renders them to an exhausted phenotype in HIV-1 infection. PLOS Pathog. 2020;16:e1008696.CrossRef Elahi S, Shahbaz S, Houston S. Selective upregulation of CTLA-4 on CD8+ T cells restricted by HLA-B*35Px renders them to an exhausted phenotype in HIV-1 infection. PLOS Pathog. 2020;16:e1008696.CrossRef
55.
Zurück zum Zitat Shahbaz S, Okoye I, Blevins G, Elahi S. Elevated ATP via enhanced miRNA-30b, 30c, and 30e downregulates the expression of CD73 in CD8+ T cells of HIV-infected individuals. PLOS Pathog. 2022;18:e1010378.CrossRef Shahbaz S, Okoye I, Blevins G, Elahi S. Elevated ATP via enhanced miRNA-30b, 30c, and 30e downregulates the expression of CD73 in CD8+ T cells of HIV-infected individuals. PLOS Pathog. 2022;18:e1010378.CrossRef
56.
Zurück zum Zitat Dunsmore G, Rosero EP, Shahbaz S, Santer DM, Jovel J, Lacy P, et al. Neutrophils promote T-cell activation through the regulated release of CD44-bound Galectin-9 from the cell surface during HIV infection. PLOS Biol. 2021;19:e3001387.CrossRef Dunsmore G, Rosero EP, Shahbaz S, Santer DM, Jovel J, Lacy P, et al. Neutrophils promote T-cell activation through the regulated release of CD44-bound Galectin-9 from the cell surface during HIV infection. PLOS Biol. 2021;19:e3001387.CrossRef
58.
Zurück zum Zitat Sulda ML, Abbott CA, Macardle PJ, Hall RK, Kuss BJ. Expression and prognostic assessment of dipeptidyl peptidase IV and related enzymes in B-cell chronic lymphocytic leukemia. Cancer Biol Ther. 2010;10:180–9.CrossRef Sulda ML, Abbott CA, Macardle PJ, Hall RK, Kuss BJ. Expression and prognostic assessment of dipeptidyl peptidase IV and related enzymes in B-cell chronic lymphocytic leukemia. Cancer Biol Ther. 2010;10:180–9.CrossRef
59.
Zurück zum Zitat Bauvois B, De Meester I, Dumont J, Rouillard D, Zhao HX, Bosmans E. Constitutive expression of CD26/dipeptidylpeptidase IV on peripheral blood B lymphocytes of patients with B chronic lymphocytic leukaemia. Br J Cancer. 1999;79:1042–8.CrossRef Bauvois B, De Meester I, Dumont J, Rouillard D, Zhao HX, Bosmans E. Constitutive expression of CD26/dipeptidylpeptidase IV on peripheral blood B lymphocytes of patients with B chronic lymphocytic leukaemia. Br J Cancer. 1999;79:1042–8.CrossRef
60.
Zurück zum Zitat Sallusto F, Lenig D, Förster R, Lipp M, Lanzavecchia A. Two subsets of memory T lymphocytes with distinct homing potentials and effector functions. Nature. 1999;401:708–12.CrossRef Sallusto F, Lenig D, Förster R, Lipp M, Lanzavecchia A. Two subsets of memory T lymphocytes with distinct homing potentials and effector functions. Nature. 1999;401:708–12.CrossRef
61.
Zurück zum Zitat Shahbaz S, Xu L, Sligl W, Osman M, Bozorgmehr N, Mashhouri S, et al. The quality of SARS-CoV-2-specific T cell functions differs in patients with mild/moderate versus severe disease, and T cells expressing coinhibitory receptors are highly activated. J Immunol Baltim Md. 1950;2021(207):1099–111. Shahbaz S, Xu L, Sligl W, Osman M, Bozorgmehr N, Mashhouri S, et al. The quality of SARS-CoV-2-specific T cell functions differs in patients with mild/moderate versus severe disease, and T cells expressing coinhibitory receptors are highly activated. J Immunol Baltim Md. 1950;2021(207):1099–111.
62.
Zurück zum Zitat Lugli E, Gattinoni L. Harnessing stem cell-like memory T cells for adoptive cell transfer therapy of cancer. In: Ascierto PA, Stroncek DF, Wang E, editors. Dev T Cell Based Cancer Immunother. Springer Chem; 2015. Lugli E, Gattinoni L. Harnessing stem cell-like memory T cells for adoptive cell transfer therapy of cancer. In: Ascierto PA, Stroncek DF, Wang E, editors. Dev T Cell Based Cancer Immunother. Springer Chem; 2015.
63.
Zurück zum Zitat Mahnke YD, Brodie TM, Sallusto F, Roederer M, Lugli E. The who’s who of T-cell differentiation: human memory T-cell subsets. Eur J Immunol. 2013;43:2797–809.CrossRef Mahnke YD, Brodie TM, Sallusto F, Roederer M, Lugli E. The who’s who of T-cell differentiation: human memory T-cell subsets. Eur J Immunol. 2013;43:2797–809.CrossRef
64.
Zurück zum Zitat Song D-G, Ye Q, Poussin M, Harms GM, Figini M, Powell DJ. CD27 costimulation augments the survival and antitumor activity of redirected human T cells in vivo. Blood. 2012;119:696–706.CrossRef Song D-G, Ye Q, Poussin M, Harms GM, Figini M, Powell DJ. CD27 costimulation augments the survival and antitumor activity of redirected human T cells in vivo. Blood. 2012;119:696–706.CrossRef
65.
Zurück zum Zitat Gherardin NA, Souter MN, Koay H-F, Mangas KM, Seemann T, Stinear TP, et al. Human blood MAIT cell subsets defined using MR1 tetramers. Immunol Cell Biol. 2018;96:507–25.CrossRef Gherardin NA, Souter MN, Koay H-F, Mangas KM, Seemann T, Stinear TP, et al. Human blood MAIT cell subsets defined using MR1 tetramers. Immunol Cell Biol. 2018;96:507–25.CrossRef
66.
Zurück zum Zitat Allard B, Allard D, Buisseret L, Stagg J. The adenosine pathway in immuno-oncology. Nat Rev Clin Oncol. 2020;17:611–29.CrossRef Allard B, Allard D, Buisseret L, Stagg J. The adenosine pathway in immuno-oncology. Nat Rev Clin Oncol. 2020;17:611–29.CrossRef
67.
Zurück zum Zitat Raskov H, Orhan A, Christensen JP, Gögenur I. Cytotoxic CD8+ T cells in cancer and cancer immunotherapy. Br J Cancer. 2021;124:359–67.CrossRef Raskov H, Orhan A, Christensen JP, Gögenur I. Cytotoxic CD8+ T cells in cancer and cancer immunotherapy. Br J Cancer. 2021;124:359–67.CrossRef
68.
Zurück zum Zitat Elahi S, Dinges WL, Lejarcegui N, Laing KJ, Collier AC, Koelle DM, et al. Protective HIV-specific CD8+ T cells evade Treg cell suppression. Nat Med. 2011;17:989–95.CrossRef Elahi S, Dinges WL, Lejarcegui N, Laing KJ, Collier AC, Koelle DM, et al. Protective HIV-specific CD8+ T cells evade Treg cell suppression. Nat Med. 2011;17:989–95.CrossRef
69.
Zurück zum Zitat Trapani JA, Smyth MJ. Functional significance of the perforin/granzyme cell death pathway. Nat Rev Immunol. 2002;2:735–47.CrossRef Trapani JA, Smyth MJ. Functional significance of the perforin/granzyme cell death pathway. Nat Rev Immunol. 2002;2:735–47.CrossRef
70.
Zurück zum Zitat Lopez JA, Susanto O, Jenkins MR, Lukoyanova N, Sutton VR, Law RHP, et al. Perforin forms transient pores on the target cell plasma membrane to facilitate rapid access of granzymes during killer cell attack. Blood. 2013;121:2659–68.CrossRef Lopez JA, Susanto O, Jenkins MR, Lukoyanova N, Sutton VR, Law RHP, et al. Perforin forms transient pores on the target cell plasma membrane to facilitate rapid access of granzymes during killer cell attack. Blood. 2013;121:2659–68.CrossRef
71.
Zurück zum Zitat Peters PJ, Borst J, Oorschot V, Fukuda M, Krähenbühl O, Tschopp J, et al. Cytotoxic T lymphocyte granules are secretory lysosomes, containing both perforin and granzymes. J Exp Med. 1991;173:1099–109.CrossRef Peters PJ, Borst J, Oorschot V, Fukuda M, Krähenbühl O, Tschopp J, et al. Cytotoxic T lymphocyte granules are secretory lysosomes, containing both perforin and granzymes. J Exp Med. 1991;173:1099–109.CrossRef
72.
Zurück zum Zitat Mousset CM, Hobo W, Woestenenk R, Preijers F, Dolstra H, van der Waart AB. Comprehensive phenotyping of T cells using flow cytometry. Cytom Part J Int Soc Anal Cytol. 2019;95:647–54.CrossRef Mousset CM, Hobo W, Woestenenk R, Preijers F, Dolstra H, van der Waart AB. Comprehensive phenotyping of T cells using flow cytometry. Cytom Part J Int Soc Anal Cytol. 2019;95:647–54.CrossRef
73.
Zurück zum Zitat Sekine T, Perez-Potti A, Nguyen S, Gorin J-B, Wu VH, Gostick E, et al. TOX is expressed by exhausted and polyfunctional human effector memory CD8+ T cells. Sci Immunol. 2020;5:eaba7918.CrossRef Sekine T, Perez-Potti A, Nguyen S, Gorin J-B, Wu VH, Gostick E, et al. TOX is expressed by exhausted and polyfunctional human effector memory CD8+ T cells. Sci Immunol. 2020;5:eaba7918.CrossRef
74.
Zurück zum Zitat Slaney CY, Kershaw MH, Darcy PK. Trafficking of T cells into tumors. Cancer Res. 2014;74:7168–74.CrossRef Slaney CY, Kershaw MH, Darcy PK. Trafficking of T cells into tumors. Cancer Res. 2014;74:7168–74.CrossRef
75.
Zurück zum Zitat Stein JV, Nombela-Arrieta C. Chemokine control of lymphocyte trafficking: a general overview. Immunology. 2005;116:1–12.CrossRef Stein JV, Nombela-Arrieta C. Chemokine control of lymphocyte trafficking: a general overview. Immunology. 2005;116:1–12.CrossRef
76.
Zurück zum Zitat Wang C, Kang SG, Lee J, Sun Z, Kim CH. The roles of CCR6 in migration of Th17 cells and regulation of effector T-cell balance in the gut. Mucosal Immunol. 2009;2:173–83.CrossRef Wang C, Kang SG, Lee J, Sun Z, Kim CH. The roles of CCR6 in migration of Th17 cells and regulation of effector T-cell balance in the gut. Mucosal Immunol. 2009;2:173–83.CrossRef
77.
Zurück zum Zitat Hamann A, Andrew DP, Jablonski-Westrich D, Holzmann B, Butcher EC. Role of alpha 4-integrins in lymphocyte homing to mucosal tissues in vivo. J Immunol. 1994;152:3282–93.CrossRef Hamann A, Andrew DP, Jablonski-Westrich D, Holzmann B, Butcher EC. Role of alpha 4-integrins in lymphocyte homing to mucosal tissues in vivo. J Immunol. 1994;152:3282–93.CrossRef
78.
Zurück zum Zitat Baekkevold ES, Yamanaka T, Palframan RT, Carlsen HS, Reinholt FP, von Andrian UH, et al. The CCR7 ligand elc (CCL19) is transcytosed in high endothelial venules and mediates T cell recruitment. J Exp Med. 2001;193:1105–12.CrossRef Baekkevold ES, Yamanaka T, Palframan RT, Carlsen HS, Reinholt FP, von Andrian UH, et al. The CCR7 ligand elc (CCL19) is transcytosed in high endothelial venules and mediates T cell recruitment. J Exp Med. 2001;193:1105–12.CrossRef
79.
Zurück zum Zitat Picker LJ, Michie SA, Rott LS, Butcher EC. A unique phenotype of skin-associated lymphocytes in humans preferential expression of the HECA-452 epitope by benign and malignant T cells at cutaneous sites. Am J Pathol. 1990;136:1053–68. Picker LJ, Michie SA, Rott LS, Butcher EC. A unique phenotype of skin-associated lymphocytes in humans preferential expression of the HECA-452 epitope by benign and malignant T cells at cutaneous sites. Am J Pathol. 1990;136:1053–68.
80.
Zurück zum Zitat Mackay LK, Braun A, Macleod BL, Collins N, Tebartz C, Bedoui S, et al. Cutting edge: CD69 interference with sphingosine-1-phosphate receptor function regulates peripheral T cell retention. J Immunol Baltim Md. 1950;2015(194):2059–63. Mackay LK, Braun A, Macleod BL, Collins N, Tebartz C, Bedoui S, et al. Cutting edge: CD69 interference with sphingosine-1-phosphate receptor function regulates peripheral T cell retention. J Immunol Baltim Md. 1950;2015(194):2059–63.
81.
Zurück zum Zitat Remmerswaal EBM, Hombrink P, Nota B, Pircher H, Ten Berge IJM, van Lier RAW, et al. Expression of IL-7Rα and KLRG1 defines functionally distinct CD8+ T-cell populations in humans. Eur J Immunol. 2019;49:694–708.CrossRef Remmerswaal EBM, Hombrink P, Nota B, Pircher H, Ten Berge IJM, van Lier RAW, et al. Expression of IL-7Rα and KLRG1 defines functionally distinct CD8+ T-cell populations in humans. Eur J Immunol. 2019;49:694–708.CrossRef
82.
Zurück zum Zitat Mezawa Y, Daigo Y, Takano A, Miyagi Y, Yokose T, Yamashita T, et al. CD26 expression is attenuated by TGF-β and SDF-1 autocrine signaling on stromal myofibroblasts in human breast cancers. Cancer Med. 2019;8:3936–48. Mezawa Y, Daigo Y, Takano A, Miyagi Y, Yokose T, Yamashita T, et al. CD26 expression is attenuated by TGF-β and SDF-1 autocrine signaling on stromal myofibroblasts in human breast cancers. Cancer Med. 2019;8:3936–48.
83.
Zurück zum Zitat Kashio Y, Nakamura K, Abedin MJ, Seki M, Nishi N, Yoshida N, et al. Galectin-9 induces apoptosis through the calcium-calpain-caspase-1 pathway. J Immunol. 2003;170:3631–6.CrossRef Kashio Y, Nakamura K, Abedin MJ, Seki M, Nishi N, Yoshida N, et al. Galectin-9 induces apoptosis through the calcium-calpain-caspase-1 pathway. J Immunol. 2003;170:3631–6.CrossRef
84.
Zurück zum Zitat Lhuillier C, Barjon C, Niki T, Gelin A, Praz F, Morales O, et al. Impact of exogenous galectin-9 on human T cells. J Biol Chem. 2015;290:16797–811.CrossRef Lhuillier C, Barjon C, Niki T, Gelin A, Praz F, Morales O, et al. Impact of exogenous galectin-9 on human T cells. J Biol Chem. 2015;290:16797–811.CrossRef
85.
Zurück zum Zitat Okoye I, Xu L, Motamedi M, Parashar P, Walker JW, Elahi S. Galectin-9 expression defines exhausted T cells and impaired cytotoxic NK cells in patients with virus-associated solid tumors. J Immunother Cancer. 2020;8: e001849.CrossRef Okoye I, Xu L, Motamedi M, Parashar P, Walker JW, Elahi S. Galectin-9 expression defines exhausted T cells and impaired cytotoxic NK cells in patients with virus-associated solid tumors. J Immunother Cancer. 2020;8: e001849.CrossRef
86.
Zurück zum Zitat Rahimpour A, Koay HF, Enders A, Clanchy R, Eckle SBG, Meehan B, et al. Identification of phenotypically and functionally heterogeneous mouse mucosal-associated invariant T cells using MR1 tetramers. J Exp Med. 2015;212:1095–108.CrossRef Rahimpour A, Koay HF, Enders A, Clanchy R, Eckle SBG, Meehan B, et al. Identification of phenotypically and functionally heterogeneous mouse mucosal-associated invariant T cells using MR1 tetramers. J Exp Med. 2015;212:1095–108.CrossRef
87.
Zurück zum Zitat Okoye IS, Houghton M, Tyrrell L, Barakat K, Elahi S. Coinhibitory receptor expression and immune checkpoint blockade: maintaining a Balance in CD8+ T cell responses to chronic viral infections and cancer. Front Immunol. 2017;8:1215.CrossRef Okoye IS, Houghton M, Tyrrell L, Barakat K, Elahi S. Coinhibitory receptor expression and immune checkpoint blockade: maintaining a Balance in CD8+ T cell responses to chronic viral infections and cancer. Front Immunol. 2017;8:1215.CrossRef
88.
Zurück zum Zitat Hendriks J, Xiao Y, Borst J. CD27 promotes survival of activated T cells and complements CD28 in generation and establishment of the effector T cell pool. J Exp Med. 2003;198:1369–80.CrossRef Hendriks J, Xiao Y, Borst J. CD27 promotes survival of activated T cells and complements CD28 in generation and establishment of the effector T cell pool. J Exp Med. 2003;198:1369–80.CrossRef
89.
Zurück zum Zitat Ochsenbein AF, Riddell SR, Brown M, Corey L, Baerlocher GM, Lansdorp PM, et al. CD27 expression promotes long-term survival of functional effector-memory CD8+cytotoxic T lymphocytes in HIV-infected patients. J Exp Med. 2004;200:1407–17.CrossRef Ochsenbein AF, Riddell SR, Brown M, Corey L, Baerlocher GM, Lansdorp PM, et al. CD27 expression promotes long-term survival of functional effector-memory CD8+cytotoxic T lymphocytes in HIV-infected patients. J Exp Med. 2004;200:1407–17.CrossRef
90.
Zurück zum Zitat Leng T, Akther HD, Hackstein C-P, Powell K, King T, Friedrich M, et al. TCR and inflammatory signals tune human MAIT cells to exert specific tissue repair and effector functions. Cell Rep. 2019;28:3077-3091.e5.CrossRef Leng T, Akther HD, Hackstein C-P, Powell K, King T, Friedrich M, et al. TCR and inflammatory signals tune human MAIT cells to exert specific tissue repair and effector functions. Cell Rep. 2019;28:3077-3091.e5.CrossRef
94.
Zurück zum Zitat Leeansyah E, Boulouis C, Kwa ALH, Sandberg JK. Emerging role for MAIT cells in control of antimicrobial resistance. Trends Microbiol. 2021;29:504–16.CrossRef Leeansyah E, Boulouis C, Kwa ALH, Sandberg JK. Emerging role for MAIT cells in control of antimicrobial resistance. Trends Microbiol. 2021;29:504–16.CrossRef
95.
Zurück zum Zitat Godfrey DI, Koay H-F, McCluskey J, Gherardin NA. The biology and functional importance of MAIT cells. Nat Immunol. 2019;20:1110–28.CrossRef Godfrey DI, Koay H-F, McCluskey J, Gherardin NA. The biology and functional importance of MAIT cells. Nat Immunol. 2019;20:1110–28.CrossRef
98.
Zurück zum Zitat Pangrazzi L, Reidla J, Carmona Arana JA, Naismith E, Miggitsch C, Meryk A, et al. CD28 and CD57 define four populations with distinct phenotypic properties within human CD8+ T cells. Eur J Immunol. 2020;50:363–79.CrossRef Pangrazzi L, Reidla J, Carmona Arana JA, Naismith E, Miggitsch C, Meryk A, et al. CD28 and CD57 define four populations with distinct phenotypic properties within human CD8+ T cells. Eur J Immunol. 2020;50:363–79.CrossRef
99.
Zurück zum Zitat Mou D, Espinosa J, Lo DJ, Kirk AD. CD28 Negative T cells: is their loss our gain? Am J Transpl Off J Am Soc Transpl Am Soc Transpl Surg. 2014;14:2460–6.CrossRef Mou D, Espinosa J, Lo DJ, Kirk AD. CD28 Negative T cells: is their loss our gain? Am J Transpl Off J Am Soc Transpl Am Soc Transpl Surg. 2014;14:2460–6.CrossRef
100.
Zurück zum Zitat Strioga M, Pasukoniene V, Characiejus D. CD8+ CD28− and CD8+ CD57+ T cells and their role in health and disease. Immunology. 2011;134:17–32.CrossRef Strioga M, Pasukoniene V, Characiejus D. CD8+ CD28− and CD8+ CD57+ T cells and their role in health and disease. Immunology. 2011;134:17–32.CrossRef
101.
Zurück zum Zitat Pang R, Law WL, Chu ACY, Poon JT, Lam CSC, Chow AKM, et al. A subpopulation of CD26+ cancer stem cells with metastatic capacity in human colorectal cancer. Cell Stem Cell. 2010;6:603–15.CrossRef Pang R, Law WL, Chu ACY, Poon JT, Lam CSC, Chow AKM, et al. A subpopulation of CD26+ cancer stem cells with metastatic capacity in human colorectal cancer. Cell Stem Cell. 2010;6:603–15.CrossRef
102.
Zurück zum Zitat Barreira da Silva R, Laird ME, Yatim N, Fiette L, Ingersoll MA, Albert ML. Dipeptidylpeptidase 4 inhibition enhances lymphocyte trafficking, improving both naturally occurring tumor immunity and immunotherapy. Nat Immunol. 2015;16:850–8.CrossRef Barreira da Silva R, Laird ME, Yatim N, Fiette L, Ingersoll MA, Albert ML. Dipeptidylpeptidase 4 inhibition enhances lymphocyte trafficking, improving both naturally occurring tumor immunity and immunotherapy. Nat Immunol. 2015;16:850–8.CrossRef
103.
Zurück zum Zitat Wang H, Liu X, Long M, Huang Y, Zhang L, Zhang R, et al. NRF2 activation by antioxidant antidiabetic agents accelerates tumor metastasis. Sci Transl Med. 2016;8:33ra451. Wang H, Liu X, Long M, Huang Y, Zhang L, Zhang R, et al. NRF2 activation by antioxidant antidiabetic agents accelerates tumor metastasis. Sci Transl Med. 2016;8:33ra451.
104.
Zurück zum Zitat Detel D, Baticic L, Varljen J. The influence of age on intestinal dipeptidyl peptidase IV (DPP IV/CD26), disaccharidases, and alkaline phosphatase enzyme activity in C57BL/6 mice. Exp Aging Res. 2008;34:49–62.CrossRef Detel D, Baticic L, Varljen J. The influence of age on intestinal dipeptidyl peptidase IV (DPP IV/CD26), disaccharidases, and alkaline phosphatase enzyme activity in C57BL/6 mice. Exp Aging Res. 2008;34:49–62.CrossRef
Metadaten
Titel
Depletion of polyfunctional CD26highCD8+ T cells repertoire in chronic lymphocytic leukemia
verfasst von
Najmeh Bozorgmehr
Mark Hnatiuk
Anthea C. Peters
Shokrollah Elahi
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
Experimental Hematology & Oncology / Ausgabe 1/2023
Elektronische ISSN: 2162-3619
DOI
https://doi.org/10.1186/s40164-023-00375-5

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