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Erschienen in: BMC Infectious Diseases 1/2022

Open Access 01.12.2022 | COVID-19 | Research

Long-term quantitative assessment of anti-SARS-CoV-2 spike protein immunogenicity (QUASI) after COVID-19 vaccination in older people living with HIV (PWH)

verfasst von: Jessica J. Tuan, Heidi Zapata, Lydia Barakat, Laurie Andrews, Anousheh Behnegar, Yee Won Kim, Jehanzeb Kayani, Suzana Mutic, Linda Ryall, Barbara Turcotte, Terese Critch-Gilfillan, Min Zhao, Syim Salahuddin, Shaili Gupta, Richard Sutton, Gerald Friedland, Brinda Emu, Onyema Ogbuagu

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2022

Abstract

Background

The durability of immune responses to COVID-19 vaccines among older people living with HIV (PWH) is clinically important.

Methods

We aimed to assess vaccine-induced humoral immunity and durability in older PWH (≥ 55 years, n = 26) over 6 months (post-initial BNT162b2 series). A secondary and exploratory objective was to assess T-cell response and BNT162b2 booster reactogenicity, respectively. Our Visit 1 (3 weeks post-initial BNT162b2 dose) SARS-CoV-2 humoral immunity results are previously reported; these subjects were recruited for Visit 2 [2 weeks (+ 1 week window) post-second vaccination] and Visit 3 [6 months (± 2 week window) post-initial vaccination] in a single-center longitudinal observational study. Twelve participants had paired Visit 2/3 SARS-CoV-2 Anti-Spike IgG data. At Visit 3, SARS-CoV-2 Anti-Spike IgG testing occurred, and 5 subjects underwent T-cell immune response evaluation. Thereafter, subjects were offered BNT162b2 booster (concurrent day outside our study) per US FDA/CDC guidance; reactogenicity was assessed. The primary study outcome was presence of detectable Visit 3 SARS-CoV-2 Anti-Spike-1-RBD IgG levels. Secondary and exploratory outcomes were T-cell immune response and BNT162b2 booster reactogenicity, respectively. Wilcoxon signed-rank tests analyzed median SARS-CoV-2 Anti-Spike IgG 6-month trends.

Results

At Visit 3, 26 subjects underwent primary analysis with demographics noted: Median age 61 years; male n = 16 (62%), female n = 10 (38%); Black n = 13 (50%), White n = 13 (50%). Most subjects (n = 20, 77%) had suppressed HIV viremia on antiretroviral therapy, majority (n = 24, 92%) with CD4 > 200 cells/µL. At Visit 3, 26/26 (100%) had detectable Anti-Spike-1-RBD (≥ 0.8 U/mL). Among 12 subjects presenting to Visit 2/3, median SARS-CoV-2 Anti-Spike 1-RBD was 2087 U/mL at Visit 2, falling to 581.5 U/mL at Visit 3 (p = 0.0923), with a median 3.305-fold decrease over 6 months. Among subjects (n = 5) with 6-month T-cell responses measured, all had detectable cytokine-secreting anti-spike CD4 responses; 3 had detectable CD4 + Activation induced marker (AIM) + cells. Two had detectable cytokine-secreting CD8 responses, but all had positive CD8 + AIM + cells.

Conclusions

Among older PWH, SARS-CoV-2 Anti-Spike IgG and virus-specific T-cell responses are present 6 months post-primary BNT162b2 vaccination, and although waning, suggest retention of some degree of long-term protective immunity.
Hinweise

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Background

Highly effective, novel mRNA vaccines were developed precipitously for prevention of 2019 Coronavirus disease (COVID-19), resulting in significantly decreased morbidity, mortality [13].
Key determinants of vaccine efficacy emerged following global COVID-19 vaccine rollout [4], including host factors (i.e. age, immunocompromised status), viral factors (i.e. variants of concern (VOC)/sub-variants exhibiting varying immune evasion levels), and vaccine-related factors (i.e. waning immune responses). These factors interact to cause increased susceptibility to SARS-CoV-2 infection/reinfection and have led to additional vaccine doses (boosters). However, key factors that should inform booster vaccine frequency are robustness, breadth, durability of immune responses to vaccination over time, correlated with clinical outcomes.
Incomplete information on COVID-19 vaccination durability in those with underlying immune dysregulation remains—particularly in people living with HIV (PWH). Therefore, we sought to assess level, breadth, durability of immune responses 6 months post-primary COVID-19 vaccination among older PWH.

Methods

A cohort of PWH (≥ 55 years) who received BNT162b2 COVID-19 vaccination primary series at Yale New Haven Health System (YNHHS) vaccination sites were followed over 6 months. Individuals with prior laboratory-confirmed or breakthrough COVID-19 were excluded.
Subjects were recruited from a prepopulated schedule prior to visit/on-site for 3 visits: Visit 1 [3 weeks post-first vaccination (published previously [5])]; Visit 2 [2 weeks (+ 1 week window) post-second vaccination]; Visit 3 [6 months (± 2 week window) post-first vaccination].
SARS-CoV-2 semi-quantitative Anti-Spike 1-RBD IgG was performed (Roche Elecsys, under US FDA Emergency Use Authorization [99.5% sensitivity, 99.8% specificity]) on cryopreserved sera (Visit 2), and fresh sera (Visit 3) to determine Visit 2/3 antibody levels. Positive SARS-CoV-2 qualitative anti-nucleocapsid antibody (Roche Elecsys) led to exclusion of subjects with COVID-19 history from analyses.

SARS-CoV-2 vaccine T-cell immunogenicity testing

Cryopreserved PBMCs were thawed, rested, and cultured (6-h) in SARS-CoV-2 peptide pool (1 μg/ml, Miltenyi Biotec), then stained for intracellular cytokine stating (ICS) assay, and co-stimulated with anti-CD28/anti-CD49d for activation induced marker (AIM) assay. Antibodies (Biolegend): anti-CD3 (UCHT1), anti-CD4 (SK3), anti-TNF-α (MAb11), anti-OX40 (Ber-ACT35), anti-CD137 (4B4-1), anti-CD69 (FN50, Biolegend); Antibodies (BD Biosciences): anti-CD8 (SK1), anti-IFN-γ (B27). Flow cytometry data was acquired on LSRFortessa and analyzed by FlowJo v.10.8.0.

Data collection

Electronic medical record review yielded subject demographics, body mass index (BMI), co-morbidities including immunosuppressed status, HIV history (duration, antiretroviral therapy (ART), recent CD4, viral load).

Statistical analysis

Data distribution was non-Gaussian; thus, non-parametric paired analysis (Wilcoxon signed-rank test) using Stata (v16.1) compared Visit 2/3 antibody levels. Statistical significance was determined at p-value < 0.05.

Ethical approval

This study received Yale Human Investigations Committee and Institutional Review Board approval (HIC # 200030266) and written informed consent from subjects was obtained.

Results

Thirty-one met inclusion criteria (5 excluded [COVID-19 history (n = 3), pre-Visit 3 booster recipients (n = 2)]). Twenty-six were included in primary analysis (Demographics, Co-morbidities, SARS-CoV-2 antibody results in Table 1). All took ART, majority (n = 24, 92%) had CD4 > 200 cells/µL, and 20/26 were virologically suppressed; 6 had detectable viremia (< 100 copies/mL). All 26 participants (100%) had detectable Visit 3 Anti-Spike-1-RBD IgG [reference < 0.8 U/mL] (Fig. 1/Table 1). In a subset participating in both Visits 2 and 3 (n = 12) median SARS-CoV-2 Anti-Spike 1-RBD was 2087 U/mL (n = 12) at Visit 2, which fell to 581.5 U/mL (n = 12) at Visit 3 (p = 0.0923), reflecting a 6-month median 3.305-fold decrease (Fig. 1a) though not statistically significant. Median SARS-CoV-2 Anti-Spike 1-RBD for all Visit 3 subjects (n = 26) was 492 U/mL (Fig. 1b). Using a clinical correlate of Anti-Spike-1-RBD antibody ≥ 100 U/mL as a disease protection threshold [6], 22/26 (84.6%) met positivity criterion. Four subjects were sub-threshold: One had chronic kidney disease (CKD); 3 had multiple co-morbidities, including heart transplant on tacrolimus (1), CKD (1), and morbid obesity (1) (Table 1).
Table 1
Participant demographics, co-morbidities, and SARS-CoV-2 antibody results
Subject
Visit 2 Quantitative SARS-CoV-2 Anti-Spike 1-RBD Antibody [U/mL]
(N = 12)
(Subjects who attended Visit 2 & 3)
Reference range
[< 0.8 U/mL]
Visit 3 Quantitative SARS-CoV-2 Anti-Spike 1-RBD Antibody [U/mL]
(N = 26)
(Total subjects who attended Visit 3)
Reference range
[< 0.8 U/mL]
T-cell Immunity Subset
Age
(Visit 1)
[Years]
Gender
Race
Ethnicity
CD4 count
[cells/µL]
HIV
Viral
Load
[copies/mL]
Body Mass Index
[kg/m2]
Co-morbidities
1
 
430
 
68
Male
White
Non-Hispanic
553
0
22.38
Heart Disease, Substance Use Disorder
2
2500
1309
 
56
Male
White
Non-Hispanic
1123
0
29.09
History of Cancer, Heart Disease, Lung Disease, Overweight
3
180
2500
 
50
Male
White
Non-Hispanic
407
0
25.04
History of Cancer, Stroke, Advanced Lung Disease, Smoking history
4
2008
426
T-Cell Subset
63
Male
Black
Non-Hispanic
176
0
29.68
 
5
2500
554
 
55
Male
White
Hispanic
1242
0
27.17
Lung Disease, Substance Use Disorder
6
 
152
 
63
Female
Black
Non-Hispanic
374
0
20.66
Smoking History
7
1101
168
 
64
Male
White
Non-Hispanic
900
0
27.2
Substance Use Disorder
8
 
48
 
61
Male
White
Non-Hispanic
801
0
28.86
Chronic Kidney Disease
9
879
349
 
61
Female
Black
Non-Hispanic
984
0
24.2
 
10
 
577
 
80
Male
Black
Non-Hispanic
718
0
27.25
 
11
2500
1299
 
55
Female
White
Non-Hispanic
359
0
26.63
 
12*
 
29.3
 
66
Male
Black
Non-Hispanic
339
32.9
26.8
Chronic Kidney Disease, Diabetes Mellitus, Heart Disease, Lung Disease
13
2.14
20.6
 
66
Female
Black
Non-Hispanic
103
27.5
25.16
Heart transplant recipient (on tacrolimus), Diabetes Mellitus, Heart Disease, Stroke
14
 
763
 
57
Male
Black
Non-Hispanic
1078
0
31.67
Lung Disease
15
2500
1295
 
63
Female
Black
Non-Hispanic
616
38
24.08
 
16
 
1201
 
56
Male
White
Non-Hispanic
518
0
33.47
Lung Disease
17
250
1363
 
61
Male
White
Non-Hispanic
729
36.7
33.73
Other Cardiovascular Disease, Alcohol use, Substance Use Disorder
18
2500
609
 
58
Male
White
Non-Hispanic
720
0
35.89
Other Cardiovascular Disease, Alcohol use
19
 
47.6
 
60
Male
Black
Non-Hispanic
786
99.7
47.9
Advanced Liver Disease, Diabetes Mellitus, Heart Disease, Other Cardiovascular Disease, Lung Disease
20
 
1020
T-Cell Subset
65
Female
Black
Non-Hispanic
539
0
27.44
Advanced Liver Disease, History of Cancer, Smoking History, Substance Use Disorder
21
 
823
 
61
Male
Black
Non-Hispanic
746
0
29.42
History of Cancer, Heart Disease, Substance Use Disorder
22
 
343
T-Cell Subset
62
Female
White
Hispanic
706
50.6
30.21
History of Cancer, Lung Disease, Smoking History
23
 
196
T-Cell Subset
58
Female
White
Non-Hispanic
1413
0
42.91
Smoking History
24
 
1626
 
64
Male
Black
Non-Hispanic
612
0
38.72
Advanced Liver Disease, History of Cancer, Active Cancer, Diabetes Mellitus
25
2166
315
T-Cell Subset
60
Female
Black
Non-Hispanic
225
0
39.49
Advanced Liver Disease, History of Cancer, Other Cardiovascular Disease, Alcohol Use
26
 
159
 
56
Female
Black
Non-Hispanic
898
0
24.26
Smoking history
Median value
2087
492
         
Eighteen Visit 3 subjects receiving BNT162b2 booster had reactogenicity evaluated 1-week post-booster. All subjects (100%) reported ≥ 1 mild-moderate symptom (Fig. 3): Injection site pain 61% (n = 11); fatigue 17% (n = 3); chills, headaches, or myalgias 11% (n = 2); nausea or malaise 6% (n = 1). Among these subjects, a cohort (n = 5) had T-cell immunologic responses analyzed (Fig. 2). All (n = 5) had detectable cytokine-secreting anti-spike CD4 responses; 3 had detectable CD4 + AIM + cells. Two had detectable cytokine-secreting CD8 responses, but all (n = 5) had positive CD8 + AIM + cells.

Discussion

Our study results demonstrate there are detectable circulating anti-spike RBD antibodies 6-months post-primary COVID-19 BNT162b2 vaccination series in older PWH. Guidelines for PWH have described older PWH as people who are 50 years of age or older [7]. Using a threshold of Anti-Spike-1-RBD antibody ≥ 100 U/mL as a correlate of COVID-19 protection [6], it is remarkable that 84.6% of subjects met 6-month threshold criterion. Of note, there is limited data regarding the clinical applicability of using this Elecsys Anti-SARS-CoV-2 S RBD assay and the implications of its semi-quantitative antibody levels as it relates to the degree of immunity or protection against COVID-19 in vaccinated individuals [8]. Our cohort had significant variability and rather broad range of Anti-Spike-1-RBD levels, which may reflect participant characteristics, co-morbidities influencing vaccine responses. Four subjects below the clinical correlate of protection had multiple co-morbidities, including CKD in the majority, and 1 heart transplant recipient on tacrolimus. Our cohort, though older, were virologically suppressed, most with CD4 > 200 cells/µL. Thus, underlying HIV may not have negatively influenced vaccine responses, unlike those with lower CD4 counts, as observed in other studies.
We found significant circulating antibody waning over time, as observed in other cohorts. Waning immunity has been associated with clinical endpoints of increased vulnerability to SARS-CoV-2 infection/reinfection, particularly where circulating VOC demonstrate significant immune evasion. Thresholds at which these events occur must be well-defined. Thus, it is important to correlate immune responses (including qualitative/quantitative) with clinical outcomes, among different populations/hosts, to inform immunologic assessment, clinical significance—and importantly—vaccine booster frequency.
Much attention has been given to assessing cell-mediated immune responses post-COVID-19 vaccination. While circulating neutralizing antibodies emerged as primary correlate of protection against infection, memory B- and T-cells—which modulate adaptive immune responses, acting as effector cells—serve as secondary lines of defense against disease progression and severity following SARS-CoV-2 infection and may exhibit greater durability [9]. Though T-cell responses were assessed in a small cohort, the robust persistence of SARS-CoV-2 Spike-specific and functional T-cells 6-months post-primary mRNA vaccination among older PWH is encouraging, warranting exploration. Spike-specific T-cells generated by BNT162b2 exhibit wide breadth and retain activity against emerging VOC [10], although their immunoprotective role is not well-defined.
Regarding reactogenicity, booster vaccine was well-tolerated. Most experienced local injection site pain with limited systemic reactogenicity, on par with other booster dose studies [11].
Our study has important limitations. Our single academic center cohort comprised PWH ≥ 55 years with well-controlled HIV, robust CD4 counts, which may not represent HIV-infected cohorts with dissimilarities and a younger cohort of people living with HIV [12]. However, it does provide important insight about older PWH, a demographic increasing annually as majority of US PWH are ≥ 50 years [7]. We evaluated response to a specific mRNA vaccine, so findings may not extrapolate to other (mRNA) vaccines/platforms. Although we lacked an HIV-uninfected control group, immune responses published among other cohorts provide context for interpreting our data. Notwithstanding, the absence of standardized antibody assays remains challenging for direct study result comparison. Thus, a more standardized method of assessing SARS-CoV-2 humoral immunity and correlates of immune protection is needed; ongoing research is being conducted to establish international standards to interpret humoral immunity results using different testing platforms and units of measurement [8]. We excluded participants with prior or breakthrough COVID-19, so as not to bias immunologic assessments, which may inadvertently select for more optimal vaccine responses.

Conclusions

Our prior data highlighted the importance of 2-dose COVID-19 primary vaccination series in older PWH [5]. This study demonstrates that though there is waning immunity by 3.305-fold over 6-months post-primary COVID-19 vaccination, there is a degree of retention of humoral immunity among most older PLWH. A sub-study revealed presence of Spike-specific T-cell responses. Our findings suggest that older PWH retain immunologic benefit from vaccination 6-months post-vaccination, though booster doses are needed to maintain optimal antibody levels over time.

Acknowledgements

We would like to acknowledge these individuals for their contributions: Study procedures and data collection: All authors. Immunologic testing: Syim Salahuddin, Omkar Chaudhary, Brinda Emu. Research coordination: Laurie Andrews (Yale AIDS Program, Yale University School of Medicine), Linda Ryall (Yale Center for Clinical Investigation, Yale University School of Medicine), and Anousheh Behnegar (Yale AIDS Program, Yale University School of Medicine).

Research statement

All methods were carried out in accordance with relevant guidelines and regulations.

Declarations

This study received Yale Human Investigations Committee and Institutional Review Board approval (HIC # 200030266) and written informed consent from subjects was obtained.
Not applicable.

Competing interests

No relevant financial disclosures, competing interests, or conflicts of interest.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Literatur
5.
Zurück zum Zitat Tuan JJ, Zapata H, Critch-Gilfillan T, et al. Qualitative assessment of anti-SARS-CoV-2 spike protein immunogenicity (QUASI) after COVID-19 vaccination in older people living with HIV [published online ahead of print, 2021 Oct 10]. HIV Med. 2021. https://doi.org/10.1111/hiv.13188 Tuan JJ, Zapata H, Critch-Gilfillan T, et al. Qualitative assessment of anti-SARS-CoV-2 spike protein immunogenicity (QUASI) after COVID-19 vaccination in older people living with HIV [published online ahead of print, 2021 Oct 10]. HIV Med. 2021. https://​doi.​org/​10.​1111/​hiv.​13188
Metadaten
Titel
Long-term quantitative assessment of anti-SARS-CoV-2 spike protein immunogenicity (QUASI) after COVID-19 vaccination in older people living with HIV (PWH)
verfasst von
Jessica J. Tuan
Heidi Zapata
Lydia Barakat
Laurie Andrews
Anousheh Behnegar
Yee Won Kim
Jehanzeb Kayani
Suzana Mutic
Linda Ryall
Barbara Turcotte
Terese Critch-Gilfillan
Min Zhao
Syim Salahuddin
Shaili Gupta
Richard Sutton
Gerald Friedland
Brinda Emu
Onyema Ogbuagu
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Schlagwort
COVID-19
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2022
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-022-07737-0

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