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Erschienen in: Diabetology & Metabolic Syndrome 1/2023

Open Access 01.12.2023 | Research

miR-132-3p and KLF7 as novel regulators of aortic stiffening-associated EndMT in type 2 diabetes mellitus

verfasst von: Melanie S. Hulshoff, Isabel N. Schellinger, Xingbo Xu, Jolien Fledderus, Sandip K. Rath, Fang Cheng Wong, Sabine Maamari, Josephina Haunschild, Guido Krenning, Uwe Raaz, Elisabeth M. Zeisberg

Erschienen in: Diabetology & Metabolic Syndrome | Ausgabe 1/2023

Abstract

Background

The prevalence of diabetes mellitus has risen considerably and currently affects more than 422 million people worldwide. Cardiovascular diseases including myocardial infarction and heart failure represent the major cause of death in type 2 diabetes (T2D). Diabetes patients exhibit accelerated aortic stiffening which is an independent predictor of cardiovascular disease and mortality. We recently showed that aortic stiffness precedes hypertension in a mouse model of diabetes (db/db mice), making aortic stiffness an early contributor to cardiovascular disease development. Elucidating how aortic stiffening develops is a pressing need in order to halt the pathophysiological process at an early time point.

Methods

To assess EndMT occurrence, we performed co-immunofluorescence staining of an endothelial marker (CD31) with mesenchymal markers (α-SMA/S100A4) in aortic sections from db/db mice. Moreover, we performed qRT-PCR to analyze mRNA expression of EndMT transcription factors in aortic sections of db/db mice and diabetic patients. To identify the underlying mechanism by which EndMT contributes to aortic stiffening, we used aortas from db/db mice and diabetic patients in combination with high glucose-treated human umbilical vein endothelial cells (HUVECs) as an in vitro model of diabetes-associated EndMT.

Results

We demonstrate robust CD31/α-SMA and CD31/S100A4 co-localization in aortic sections of db/db mice which was almost absent in control mice. Moreover, we demonstrate a significant upregulation of EndMT transcription factors in aortic sections of db/db mice and diabetic patients. As underlying regulator, we identified miR-132-3p as the most significantly downregulated miR in the micronome of db/db mice and high glucose-treated HUVECs. Indeed, miR-132-3p was also significantly downregulated in aortic tissue from diabetic patients. We identified Kruppel-like factor 7 (KLF7) as a target of miR-132-3p and show a significant upregulation of KLF7 in aortic sections of db/db mice and diabetic patients as well as in high glucose-treated HUVECs. We further demonstrate that miR-132-3p overexpression and KLF7 downregulation ameliorates EndMT in high glucose-treated HUVECs.

Conclusions

We demonstrate for the first time that EndMT contributes to aortic stiffening in T2D. We identified miR-132-3p and KLF7 as novel EndMT regulators in this context. Altogether, this gives us new insights in the development of aortic stiffening in T2D.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s13098-022-00966-y.
Melanie S. Hulshoff, Isabel N. Schellinger and Xingbo Xu—Share first authorship
Uwe Raaz and Elisabeth M. Zeisberg—Share last authorship

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ECM
Extracellular matrix
EndMT
Endothelial-to-mesenchymal transition
HUVEC
Human umbilical vein endothelial cells
KLF7
Kruppel-like factor 7
mRNAs
Messenger RNAs
miRs
MicroRNA
T2D
Type 2 diabetes

Introduction

Throughout the world, diabetes is a growing health burden. Largely unknown in the early twentieth century, type 2 diabetes (T2D) is now the 7th leading cause of death in the USA mainly due to increased cardiovascular mortality in T2D [1, 2]. One mechanism linking diabetes to increased cardiovascular risk is accelerated arterial stiffening that is frequently observed in diabetic patients [3]. Stiffening of large arteries leads to various adverse hemodynamic consequences, rendering arterial stiffness an independent risk factor of cardiovascular disease [4, 5]. In that respect, the Hoorn study clearly demonstrated that T2D is especially associated with increased central arterial stiffness [6].
The aorta is the biggest vessel of the body and channels the blood flow from the heart to the periphery. Its elastic nature offers a buffering capacity (Windkessel function) to equalize blood flow during systole and diastole. As such, the aortic wall is an important responder to the biomechanical forces induced by the cyclic nature of blood flow.
Elevated arterial stiffness may result from increased collagen built-up in the arterial wall [7]. However, little is known about the underlying molecular mechanisms.
T2D is a chronic state characterized by hyperglycemic stimuli and low-grade inflammation [8]. Endothelial cells are early targets of these destructive conditions and hold a critical role in the production of extracellular matrix (ECM) proteins in diabetic complications [911]. Endothelial-to-mesenchymal transition (EndMT) is a biologic process that forces endothelial cells to undergo dynamic phenotypic switching (transition) in the context of sustained injury. Such changes in endothelial cells are manifested by a loss of endothelial markers and gain of mesenchymal markers [1215]. EndMT has been shown to be a main source of fibroblasts triggering an increased production of ECM proteins in organ fibrosis [1618].
New evidence suggests that EndMT is epigenetically regulated by a class of small non-coding RNAs called microRNA (miRs) [12, 1922]. MiRs are short single stranded RNAs, that repress the expression of messenger RNAs (mRNAs) by binding to 3′UTR regions that are (partially) complimentary to their own code [23]. The number of mRNAs that may be affected by a single miR is estimated to be in the hundreds [2427].
Here, we demonstrate that EndMT contributes to aortic stiffening in T2D and identify miR-132-3p and KLF7 as novel regulators in EndMT-triggered arterial stiffening.

Methods

Pressure myography

Pressure myography was performed to directly assess the passive aortic mechanics ex vivo as previously described (PubmedID 26208651). In brief, murine aortae were explanted, placed on specially designed stainless-steel cannulas and secured with silk surgical suture (10-0). The vessel was mounted in the heated chamber of a pressure arteriograph system (Model 110P, Danish Myotechnology, Copenhagen, Denmark) and stretched to in vivo length. Physiological saline solution (PSS) at 37 °C, aerated with 5% CO2/95% O2 was used to fill the vessel chamber and for aortic perfusion. After 3 preconditioning cycles, the aortic passive pressure-diameter relationship was determined by an automated protocol. The artery was pressurized from 0 to 180 mmHg in 18 mmHg increments, and the vessel’s outer diameter was simultaneously tracked by continuous computer video analysis (MyoVIEW software, Danish Myotechnology, Copenhagen, Denmark). The resting diameter d0 was quantified under 0 mmHg intraluminal (transmural) pressure and was not significantly different between the experimental groups tested (d0~1000 µm).

Immunofluorescence staining of aortic sections of db/db mice

Male db/db mice (BKS.Cg-Dock7m+/+Leprdb/J) and their age-matched heterozygous non-diabetic controls (+/db) were purchased from the Jackson Laboratory (Bar Harbor, ME, USA). After 20 weeks, mice were exposed to inhalation of a lethal dose of isoflurane (concentration of 5%, Vet One, Meridian, ID, USA) in a closed chamber. Isoflurane was delivered from a vaporizer-system with O2 as a carrier. Thoracic aortas were harvested and snap-frozen in liquid nitrogen. All animal studies were reviewed and approved by the responsible local animal ethics review boards and procedures were conform to the guidelines from Directive 2010/63/EU of the European Parliament on the protection of animals used for scientific purposes. The cryo-sections were fixed with methanol at − 20 °C for 10 min and air-dried before washing three times with PBS. The sections were blocked using SEA BLOCK Blocking Buffer (Thermo Fisher Scientific, Waltham, MA, USA) and incubated at RT for 1.5 h. The primary antibody was added to the sections and incubated at 4 °C overnight. The next day, the slides were three times washed with PBS before adding the secondary antibody and incubating in the dark at RT for 45 min. The slides were washed three times with PBS and incubated with DAPI (1:1000 in PBS) at RT for 5 min. A final washing with PBS was performed before mounting the slides. The following primary antibodies and dilutions (in SEA BLOCK) were used: mouse anti-human CD31 (1:100, M0823, Dako, Carpinteria, CA, USA), rabbit anti-human S100A4 (1:50, A5114, Dako, Carpinteria, CA, USA), rabbit anti-mouse α-SMA (1:100, ab5694, Abcam, Cambridge, MA, USA) and rabbit anti-KLF7 (1:50, ab197690, Abcam, Cambridge, MA, USA). The secondary antibodies Alexa Fluor 647 goat-anti mouse (A21235, Invitrogen, Carlsbad, CA, USA) and Alexa Fluor 568 donkey anti-rabbit (A10042, Invitrogen, Carlsbad, CA, USA) were used in a 1:200 dilution. The stained slides were analysed using the Inverted Zeiss LSM 780 multiphoton laser scanning confocal microscope (Zeiss, Oberkochen, Germany).

Human tissue sample acquisition and preparation

Human thoracic aortic samples from patients with diabetes (n = 5) and without diabetes (n = 5) who underwent open aortic surgery were collected during the procedure, snap-frozen and stored at − 80 °C. Groups were matched for age (patients with diabetes: 67.20 ± 2.059 years; patients without diabetes 65.60 ± 2.379 years; p = ns) and smoking status (patients with diabetes 40% smoker; patients without diabetes: 60% smoker; p = ns). Approval for studies on human tissue samples was obtained under informed consent and conducted in accordance with the Declaration of Helsinki.

RNA extraction and quantitative real-time PCR for aortic sections of db/db mice and human tissue

Total RNA was extracted using TRIzol Reagent (Invitrogen, Carlsbad, CA, USA) and the PureLink RNA Mini Kit (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s protocol. The RNA was treated with Dnase I (Sigma-Aldrich, St. Louis, MO, USA) and the SuperScript II Reverse Transcriptase system (Invitrogen, Carlsbad, CA, USA) was used to synthesize cDNA according to the manufacturer’s protocol. For qRT-PCR, Fast SYBR Green Master Mix (Applied Biosystems, Foster City, CA, USA) was used in combination with the StepOne Plus Real-Time PCR system (Applied Biosystems, Foster City, CA, USA). The primers used for qRT-PCR are listed in Table 1. The relative expression levels were standardized to GAPDH using the ΔΔCt method.
Table 1
qRT-PCR primer sequences
Human name
Sequence
Mouse name
Sequence
GAPDH
F: GTGGACCTGACCTGCCGTCT
R: GGAGGAGTGGGTGTCGCTGT
Gapdh
F: TGTAGACCATGTAGTTGAGGTCA
R: AGGTCGGTGTGAACGGATTTG
SNAIL
F: GGCAATTTAACAATGTCTGAAAAGG
R: GAATAGTTCTGGGAGACACATCG
Snail
F: GTGCCCACCTCCAAACCC
R: AAGGACATGCGGGAGAAGG
SLUG
F: ACTCCGAAGCCAAATGACAA
R: CTCTCTCTGTGGGTGTGTGT
Slug
F: CGCTCCTTCCTGGTCAAGA
R: AGGTATAGGGTAACTTTCATAGAGATA
TWIST
F: GTCCGCAGTCTTACGAGGAG
R: TGAATCTTGCTCAGCTTGTCC
Twist
F: TGATAGAAGTCTGAACACTCGTTTG
R: GGCTGATTGGCAAGACCTCT
SMAD2
F: GGGTTTTGAAGCCGTCTATCAGC
R: CCAACCACTGTAGAGGTCCATTC
Klf7
F: GGAAGGATGCGAGTGGCGTTTT
R: CGCAAGATGGTCAGACCTGGAG
ZEB2
F: AATGCACAGAGTGTGGCAAGGC
R: CTGCTGATGTGCGAACTGTAGG
  
KLF7
F: CTCACGAGGCACTACAGGAAAC
R: TGGCAACTCTGGCCTTTCGGTT
  
PTEN
F: TGAGTTCCCTCAGCCGTTACCT
R: GAGGTTTCCTCTGGTCCTGGTA
  
ZBTB20
F: CTCTGCAACAAGACTTTCACCGC
R: AGGAGAAGGAGCGCCAACAGAT
  
DNMT3a
F: CCTCTTCGTTGGAGGAATGTGC
R: GTTTCCGCACATGAGCACCTCA
  

Micronome data

The micronome of glucose-treated HUVECs and the micronome of aortic vascular smooth muscle cells from db/db mice and db/+controls are available at Gene Expression Omnibus (GEO), NCBI (GSE74296 and GSE74521).

RNA quantification and qRT-PCR miR-132-3p in human subjects

Total microRNA was isolated using a TRIzol-based (Invitrogen, Carlsbad, CA, USA) RNA isolation protocol. Reverse transcription was performed by using the TaqMan microRNA Reverse Transcription kit (Applied Biosystems, Foster Biosystems, Foster City, USA) according to the manufacturer’s instructions. MicroRNA TaqMan assays (Applied Biosystems, Foster City, USA) for hsa-miR-132-3p was used. Amplification took place on a Fast-Real-Time PCR System (Applied Biosystems, Foster City, USA). All fold changes were calculated by the method of ΔΔCt.

Cloning

A fragment of the human 3′UTR of KLF7 which contains two miR-132-3p binding sites was amplified using Phusion High-Fidelity DNA Polymerase (New England Biolabs, Ipswich, MA, USA) and the primers KLF7-3′UTR-F: 5′ AATTACTAGTACCATCCCTTCAAGACACGT; KLF7-3′UTR-R: 5′ AATTGTTTAAACCCCAGATCTTGAAGGTTGCTG. Both the amplified PCR product and the pMiR-REPORT miRNA expression vector (Invitrogen, Carlsbad, CA, USA) were digested using SpeI and PmeI restriction enzymes (New England Biolabs, Ipswich, MA, USA). Ligation was performed using the LigaFast Rapid DNA Ligation System (Promega, Madison, WI, USA) and transformed into One Shot TOP10 Chemically Competent E. coli (Invitrogen, Carlsbad, CA, USA). Miniprep was performed using the Zyppy Plasmid Miniprep Kit and the sequence of the insert was confirmed using sequencing. The generated pMiR-REPORT-KLF7-3′UTR plasmid was amplified using the HiSpeed Plasmid Midi Kit (Qiagen, Hilden, Germany).

Cell culture and glucose treatment

Human embryonic kidney (HEK293) cells were cultured in DMEM medium (Gibco, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (Gibco, Carlsbad, CA, USA) and 1% penicillin–streptomycin (Gibco, Carlsbad, CA, USA). Human umbilical vein endothelial cells (HUVECs; Lonza, Basel, Switzerland) were cultured in Endothelial Cell Growth Medium (EGM-2MV, Lonza, Basel, Switzerland). For glucose treatment, 0.2 × 106 cells were plated and cultured as previously described [29] to induce EndMT. 60 mM d-glucose was supplemented for 4 days and the medium was changed every 2 days. 5.5 mM d-glucose plus 54.5 mM d-mannitol was used as control.

Transfection of HEK293 cells

0.5 × 106 HEK293 cells were plated on a 6-well plate and incubated overnight. The next day, the HEK293 cells were transfected by using Lipofectamine 2000 (Thermo Fisher Scientific, Waltham, MA, USA). In short, 2 ug of pMiR-REPORT-KLF7-3′UTR and 1 ug of pGL4.73[hRluc/SV40] (renilla) vector (Promega, Madison, WI, USA) together with 5 nM of hsa-miR-132-3p miRCURY LNA miRNA mimic (YM00472088, Qiagen, Hilden, Germany) or negative control miRCURY LNA miRNA mimic (YM00479902, Qiagen, Hilden, Germany) was added in a tube containing 250 µL Opti-MEM Reduced Serum Medium (Gibco, Carlsbad, CA, USA). Another tube was prepared containing a mastermix of 250 µL Opti-MEM and 5 µL of Lipofectamine 2000 per transfection. The tubes were mixed at RT for 5 min before combining the Lipofectamine 2000 mixture with the DNA mixture. The tubes were mixed again before incubating at RT for 20 min. The transfection complexes were added drop-wise to the cells and incubated overnight. The next day, the medium was changed. The cells were collected 72 h after transfection.

Luciferase reporter assay

The luciferase assay was performed using the Dual-Luciferase Reporter Assay System (Promega, Madison, WI, USA). In short, the cells were lysed with 1:5 diluted passive lysis buffer by shaking at RT for 30 min. Centrifugation at 13,000 rpm for 10 min was performed to collect the supernatant (containing the cell lysate). The cell lysate was added in triplicates to a 96 well plate before adding Luciferase Assay Reagent II (for Firefly luciferase activity) and Sto&Glo Reagent (for Renilla luciferase activity) to detect the luminescence with the help of a luminescence plate reader.

Transfection of HUVECs

0.2 × 106 HUVECs were plated on a 6-well plate and incubated overnight. The next day, the HUVECs were transfected by using Lipofectamine 2000 (Thermo Fisher Scientific, Waltham, MA, USA). In short, for miR-132-3p overexpression, 10 pmol of hsa-miR-132-3p miRCURY LNA miRNA mimic (YM00472088, Qiagen, Hilden, Germany) or Silencer Negative Control No.1 siRNA (AM4635, Ambion, Austin, TX, USA) was added in a tube containing 250 µL Opti-MEM (Gibco, Carlsbad, CA, USA). For KLF7 KO, 50 pmol of KLF7 Silencer Select siRNA (Ambion, Austin, TX, USA) or Silencer Negative Control No.1 siRNA (AM4635, Ambion, Austin, TX, USA) was added in a tube containing 250 µL Opti-MEM (Gibco, Carlsbad, CA, USA). Another tube was prepared containing a mix of 250 µL Opti-MEM and 5 µL of Lipofectamine 2000 per transfection. The tubes were incubated at RT for 5 min. before combining the Lipofectamine 2000 mixture with the siRNA/miRNA mixture. The Lipofectamine 2000 mix was combined with the siRNA/miRNA mix and incubated at RT for 20 min. The transfection complexes were added drop-wise to the cells and incubated for 4 h. After 4 h the medium was changed. The next day d-glucose and d-Mannitol treatment was started. The cells were collected 72 h after transfection.

RNA extraction and qRT-PCR in HUVECs

Total RNA was extracted using TRIzol Reagent (Ambion, Austin, TX, USA) according to the manufacturer’s protocol. The RevertAid First Strand cDNA Synthesis Kit (Thermo Fisher Scientific, Waltham, MA, USA) was used to synthesize cDNA according to the manufacturer’s protocol. For qRT-PCR, Fast SYBR Green Master Mix (Applied Biosystems, Foster City, CA, USA) was used in combination with the Viia7 Real-Time PCR system (Applied Biosystems, Foster City, CA, USA). The primers used for qRT-PCR are listed in Table 1. The relative expression levels were standardized to GAPDH using the ΔΔCt method.

RNA quantification and qRT-PCR miR-132-3p in HUVECs

Total microRNA was isolated using a TRIzol Reagent (Ambion, Austin, TX, USA) according to the manufacturer’s protocol. Reverse transcription was performed by using the TaqMan microRNA Reverse Transcription kit (Applied Biosystems, Foster City, CA, USA) and microRNA-specific stemloop primers (Table 2). For miR-qRT-PCR, analysis was performed on a mixture containing 5 ng cDNA equivalent, 0.1 µM sense primer, 0.1 µM antisense primer (Table 3) and Fast SYBR Green Master Mix (Applied Biosystems, Foster City, CA, USA). Analysis was performed on the Viia7 Real-Time PCR system (Applied Biosystems, Foster City, CA, USA). The relative expression levels were standardized to U6 using the ΔΔCt method.
Table 2
miRNA-specific CDNA synthesis primer sequences
Human name
Stem loop primer sequence
miR-132-3p-SL primer
GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACCGACCATG
RNU6-SL primer
GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACAAAAATATGG
Table 3
miR-132-3p qRT-PCR primer sequences
Human name
Sequence
miR-132-3p
F: TGCGGTAACAGTCTACAGC
RNU6
F: TGCGGCTGCGCAAGGATGA
miR-Reverse
R: GTGCAGGGTCCGAGGT

Immunofluorescence staining of HUVECs

Cells were two times washed with PBS before being fixed with 2% PFA at RT for 30 min. After another two washes with PBS, cells were permeabilized with 0.5% Triton in PBS for 15 min. Cells were washed again 3× in PBS and blocked with blocking buffer (5% donkey or goat serum in PBS) for 10 min. Cells were incubated with primary antibody (1:100 in blocking buffer) overnight at 4 °C. The next day, cells were washed with PBS, PBS + 0.05% Tween-20 and again with PBS before incubation with secondary antibody (1:500) in DAPI (1:5000) and 2% Human Serum for 60 min at RT in the dark. Cells were washed with PBS, PBS + 0.05% Tween-20 and PBS and stored in PBS at 4 °C until analysis. The following primary antibodies were used: mouse anti-human CD31 (M0823, Dako, Santa Clara, CA, USA), rabbit anti-human SM22α (ab14106, Abcam, Cambridge, MA, USA). Alexa Fluor 647 donkey anti-mouse (A31571, Invitrogen, Carlsbad, CA, USA) and Alexa Fluor 568 goat anti-rabbit (A21069, Invitrogen, Carlsbad, CA, USA) were used as secondary antibodies. The cells were analyzed using the EVOS FL cell imaging system (Life Technologies, Carlsbad, CA, USA).

Statistics

For pressure myography analysis, 2-way repeated measures ANOVA was used. Normality and homoscedasticity were tested to ensure that parametric testing was appropriate. The co-localization data is presented as the mean ± SEM. Co-localization was assessed in 3 aortic sections per mouse and average values of each mouse were calculated. The average values for each mouse (n = 4) was then used to calculate average per group. Statistical analysis was performed using a Student’s t test (two-tailed). For qPCR analysis, the data is presented as the mean ± SD. Statistical analysis was performed using 1-way ANOVA with Turkey multiple comparisons test. A value of p < 0.05 was considered statistically significant.

Results

Aortic stiffness is increased in diabetic mice

In a first step, we characterized the structural stiffness of the aortic wall in db/db mice and their +/db counterpart controls using ex vivo pressure myography. We found that the aortic segments taken from db/db mice exhibited significantly increased “material” stiffness of the explanted tissue (compared to +/db controls, Additional file 1: Figure S1).

Aortas of db/db mice and diabetic patients, but not of control mice and subjects, display robust signs of endothelial-to-mesenchymal transition

To assess whether EndMT occurs during aortic stiffening, we performed confocal microscopy of co-immunofluorescent staining of the endothelial marker CD31 in combination with the mesenchymal markers α-SMA and S100A4 respectively in aortic sections of db/db mice (a murine model of T2D). We observed a robust co-localization of CD31 with both α-SMA and S100A4 in aortas of db/db mice which was almost absent in control (db/+) mice (Fig. 1A, B). The observed co-localization of CD31 with both α-SMA and S100A4 was significantly more pronounced in aortas of db/db mice when compared to aortas of control mice (for α-SMA 10 versus 2.8, p < 0.05, Fig. 1C; for S100A4 10.6 versus 1.6, p < 0.05, Fig. 1D). We then examined the mRNA expression of the EndMT transcription factors Snail, Slug and Twist in aortic tissue of db/db mice to further test the presence of EndMT. Indeed, Snail, Slug and Twist were significantly upregulated in aortic tissue from db/db mice when compared to control mice (Snail 13.5-fold, p < 0.01; Slug 9.4-fold, p < 0.001; Twist 6.1-fold, p < 0.001, Fig. 1E). To investigate if EndMT is also associated with aortic stiffening in patients with T2D, we also studied aortic tissue from patients with T2D and control subjects, and we found that SNAIL, SLUG and TWIST are significantly upregulated in T2D patients (SNAIL 2.6-fold, p < 0.01; SLUG 2.5-fold, p < 0.05; TWIST 3.4-fold, p < 0.001, Fig. 1F). Altogether, this demonstrates that EndMT can be observed in the context of T2D.

miR-132-3p is downregulated in aortas of db/db mice and diabetic patients as well as in high glucose-induced EndMT

To identify the underlying mechanism by which EndMT is regulated in the context of T2D, we overlapped the micronome of aortas from db/db mice with the micronome of high glucose-treated human umbilical vein endothelial cells (HUVECs) (available at Gene Expression Omnibus (GEO), NCBI, GSE74296 and GSE74521). Three microRNAs (miRs) were significantly downregulated in both datasets: miR-9, miR-30 and miR-132-3p (Fig. 2A). Since miR-132-3p was the highest downregulated in glucose-treated HUVECs and the second highest downregulated in aortas of db/db mice, we decided to further examine the expression of this miR in aortic tissue of T2D patients. Indeed, we observed a significant downregulation of miR-132-3p in aortic sections of T2D patients when compared to control subjects (2.4-fold, p < 0.05, Fig. 2B). Since miR-132-3p is universally downregulated in high glucose-treated HUVECs and in aortic tissue of db/db mice and diabetic patients, we identified miR-132-3p as possible regulator of EndMT-triggered aortic stiffening in T2D.

miR-132-3p predicted target KLF7 is upregulated in aortas of diabetic patients

To further investigate the role of miR-132-3p in regulating EndMT, we identified possible targets of miR-132-3p in humans through the online prediction tool TargetScan. This revealed two well-known EndMT regulators: SMAD2, which facilitates TGF-β signaling, and ZEB2, a transcription factor regulating epithelial to mesenchymal transition (EMT) (Fig. 2C). SMAD2 mRNA expression was unaltered in aortas of T2D patients when compared to control subjects whereas ZEB2 was significantly downregulated (SMAD2 not significant; ZEB2, 4.1-fold, p < 0.05, Fig. 2D). This suggests that these two predicted targets of miR-132-3p do not play a role in this context. We next examined the mRNA expression of those predicted miR-132-3p targets with the most putative binding sites for miR-132-3p in their 3′UTR: KLF7, PTEN, DNMT3a and ZBTB20 (Fig. 2C). Out of these four predicted targets, only KLF7 is significantly upregulated in aortas of diabetes patients whereas DNMT3a, ZBTB20 and PTEN remain unaltered when compared to control subjects (KLF7 2.2-fold, p < 0.01; DNMT3/ZBTB20/PTEN not significant, Fig. 2E). This suggests that miR-132-3p targets KLF7 during aortic stiffening in diabetic patients.

KLF7 is upregulated during EndMT-triggered aortic stiffening in db/db mice

To assess whether KLF7 plays a role during EndMT-triggered aortic stiffness, we performed co-immunofluorescent staining of CD31 in combination with KLF7 in aortic sections of db/db mice. With confocal microscopy, we observed a robust co-localization of CD31 with KLF7 in aortas of db/db mice which was almost completely absent in control mice (Fig. 3A). The observed co-localization of CD31 with KLF7 was significantly more in aortas of db/db mice when compared to aortas of control mice (4.2-fold, p < 0.05, Fig. 3B). Finally, we examined the mRNA expression of KLF7 in aortic tissue of db/db mice. We also observed a significant upregulation of KLF7 in aortas of db/db mice when compared to control mice (4.9-fold, p < 0.001, Fig. 3C). This suggests that KLF7 plays a role in EndMT-triggered aortic stiffness in T2D.

miR-132-3p overexpression ameliorates high glucose-induced EndMT

To confirm that miR-132-3p targets KLF7, we cloned a fragment of the human 3′UTR of KLF7 in a pMiR-REPORT luciferase vector and transfected HEK293 cells with both the pMiR-REPORT-KLF7-3′UTR and a miR-132-3p mimic or negative control (Fig. 4A). We show that co-transfection with the miR-132-3p mimic results in a significant reduction of the luciferase activity of the KLF7 3′UTR when compared to the negative control, demonstrating that miR-132-3p indeed targets KLF7 (1.6-fold, p < 0.01, Fig. 4B).
To further explore the role of miR-132-3p in high glucose-induced EndMT, we overexpressed miR-132-3p in high glucose-treated HUVECs. Co-immunostaining of CD31 in combination with SM22α showed that high glucose treatment results in a decrease in the expression of CD31 and cobblestone morphology and an increase in SM22α expression accompanied with a spindle-shaped morphology, all indicative of EndMT (Fig. 4C). Moreover, qRT-PCR analysis revealed upregulation of KLF7, SNAIL, SLUG and TWIST upon high glucose treatment, and downregulation of miR-132-3p upon high glucose treatment, confirming the presence of EndMT, the downregulation of miR-132-3p and the upregulation of KLF7 in high glucose-induced EndMT (miR-132-3p 1.9-fold, p < 0.01; KLF7 1.6-fold, p < 0.01; SNAIL 1.75-fold, p = 0.06; SLUG 1.71-fold, p = 0.06; TWIST 1.75-fold, p < 0.01, Fig. 4D–H). After having confirmed the overexpression of miR-132-3p (in mannitol conditions 5083-fold, p < 0.0005; in high glucose conditions 4279-fold, p < 0.005, Fig. 4D), we demonstrated that overexpression of miR-132-3p in combination with high glucose treatment ameliorates high glucose-induced EndMT as shown by an increase in CD31 expression and of cobblestone morphology, and a decrease in SM22α expression and of spindle-shaped morphology (Fig. 4C). Moreover, overexpression of miR-132-3p decreases the expression of KLF7, SNAIL, SLUG, and TWIST in both high glucose (KLF7 1.82-fold, p < 0.0005; SNAIL 2.03-fold, p < 0.01; SLUG 2.03-fold, p < 0.0001; TWIST 1.95-fold, p < 0.001, Fig. 4E–H) and mannitol conditions (KLF7 1.56-fold, p < 0.05; SNAIL 1.81-fold, p < 0.05; SLUG 1.38-fold, p < 0.01; TWIST 1.92-fold, p < 0.01, Fig. 4E–H). This indicates that miR-132-3p overexpression ameliorates high glucose-induced EndMT in vitro.

KLF7 downregulation ameliorates high-glucose EndMT

After having established the role of miR-132-3p on high glucose-induced EndMT, we further characterized the role of KLF7 on high glucose-induced EndMT. Therefore, we downregulated KLF7 in high glucose-treated HUVECs. Downregulation of KLF7 decreases the expression of KLF7, SNAIL, SLUG, and TWIST in both high glucose (KLF7 3.86-fold, p < 0.0001; SNAIL 2.9-fold, p < 0.0001; SLUG 2.9-fold, p < 0.0001; TWIST 4.23-fold, p < 0.001, Fig. 5A–D) and KLF7, SLUG, and TWIST in mannitol conditions (KLF7 2.27-fold, p < 0.01; SLUG 1.85-fold, p < 0.001; TWIST 2.27-fold, p < 0.05, Fig. 5A–D).
Altogether, this suggests that KLF7 downregulation ameliorates high glucose-induced EndMT in vitro and that miR-132-3p regulates KLF7 in EndMT-triggered diabetes-related aortic stiffening (Fig. 6).

Discussion

In this study, we demonstrate that aortas of db/db mice (a murine model of type 2 diabetes) and diabetes patients but not of control mice and subjects display robust signs of EndMT. We identified that miR-132-3p is downregulated in aortas of both db/db mice and diabetic patients as well as in an in vitro model of glucose-induced EndMT. Moreover, we demonstrate that miR-132-3p targets KLF7, which is upregulated in an in vitro model of diabetes-associated EndMT, during EndMT-triggered aortic stiffening in db/db mice as well as in aortas of diabetes patients. Finally, we show that miR-132-3p overexpression as well as KLF7 downregulation ameliorates EndMT in an in vitro model of diabetes-associated EndMT, thereby identifying both miR-132-3p and KLF7 as novel regulators of aortic stiffening-associated EndMT in type 2 diabetes mellitus. A summary of the proposed mechanism is provided in Fig. 6.
Accelerated aortic stiffening is an independent predictor of cardiovascular disease and mortality in diabetes patients. We previously showed that aortic stiffness precedes hypertension in db/db mice, making aortic stiffness an early contributor to cardiovascular disease development [7]. Elucidating how aortic stiffening develops is therefore a pressing need in order to halt the pathophysiological process at an early time point. We now identify EndMT as a novel contributor to aortic stiffness in T2D. This is consistent with the literature in which high glucose-induced EndMT has been demonstrated in vitro before [28, 29], and has also been reported to be associated with diabetic cardiomyopathy [3033].
MicroRNAs have been shown to regulate EndMT in the context of diabetes [20, 34, 35]. We are the first to identify miR-132-3p as a possible regulator of EndMT and its association with both cardiovascular disease and T2D. Other studies have shown that downregulation of miR-132-3p promotes migration and proliferation in the context of carcinoma, which suggests a role for miR-132-3p in epithelial-to-mesenchymal transition (EMT), a cellular transition process similar to EndMT [3640].
We demonstrate that miR-132-3p regulates KLF7 and thereby identify KLF7 as a novel regulator of EndMT. KLF7 is a member of the KLF7 family of zinc finger transcription factors which are known to play an important role in development and cellular differentiation processes such as EMT [4144]. Moreover, KLF7 has been identified as one of the core transcription factors that regulate coronary artery disease-associated pathways [45]. This supports our data, as it has been shown that EndMT drives the progression of coronary artery disease [14, 46]. This confirms that KLF7 might be an important player in EndMT-triggered arterial stiffness in T2D.
To conclude, we demonstrate that EndMT contributes to aortic stiffening in T2D. We also identified miR-132-3p and KLF7 as potential regulators of EndMT in this context. Altogether, this provides new insights in the development of aortic stiffening in T2D.

Acknowledgements

Not applicable.

Declarations

All animal studies were reviewed and approved by the responsible local animal ethics review boards and procedures were conform to the guidelines from Directive 2010/63/EU of the European Parliament on the protection of animals used for scientific purposes. Approval for studies on human tissue samples was obtained under informed consent and conducted in accordance with the Declaration of Helsinki.
Not applicable.

Competing interests

I.N.S. and U.R. are cofounders of Angiolutions GmbH. Angiolutions GmbH is an academic spin-off company developing vascular devices for aneurysm diseases. There is no conflict of interest with the contents of this work.
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Literatur
1.
Zurück zum Zitat Prevention Cfdca. National diabetes statistics report: estimates of diabetes and its burden in the united states, 2014. Atlanta: U.S. Department of Health and Human Services; 2014. Prevention Cfdca. National diabetes statistics report: estimates of diabetes and its burden in the united states, 2014. Atlanta: U.S. Department of Health and Human Services; 2014.
2.
Zurück zum Zitat Ryden L, Standl E, Bartnik M, Van den Berghe G, Betteridge J, de Boer MJ, Cosentino F, Jonsson B, Laakso M, Malmberg K, Priori S, Ostergren J, Tuomilehto J, Thrainsdottir I, Vanhorebeek I, Stramba-Badiale M, Lindgren P, Qiao Q, Priori SG, Blanc JJ, Budaj A, Camm J, Dean V, Deckers J, Dickstein K, Lekakis J, McGregor K, Metra M, Morais J, Osterspey A, Tamargo J, Zamorano JL, Deckers JW, Bertrand M, Charbonnel B, Erdmann E, Ferrannini E, Flyvbjerg A, Gohlke H, Juanatey JR, Graham I, Monteiro PF, Parhofer K, Pyorala K, Raz I, Schernthaner G, Volpe M, Wood D, Task Force on D, Cardiovascular Diseases of the European Society of C, European Association for the Study of D. Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary. The task force on diabetes and cardiovascular diseases of the European society of cardiology (esc) and of the European association for the study of diabetes (easd). Eur Heart J. 2007;28:88–136. Ryden L, Standl E, Bartnik M, Van den Berghe G, Betteridge J, de Boer MJ, Cosentino F, Jonsson B, Laakso M, Malmberg K, Priori S, Ostergren J, Tuomilehto J, Thrainsdottir I, Vanhorebeek I, Stramba-Badiale M, Lindgren P, Qiao Q, Priori SG, Blanc JJ, Budaj A, Camm J, Dean V, Deckers J, Dickstein K, Lekakis J, McGregor K, Metra M, Morais J, Osterspey A, Tamargo J, Zamorano JL, Deckers JW, Bertrand M, Charbonnel B, Erdmann E, Ferrannini E, Flyvbjerg A, Gohlke H, Juanatey JR, Graham I, Monteiro PF, Parhofer K, Pyorala K, Raz I, Schernthaner G, Volpe M, Wood D, Task Force on D, Cardiovascular Diseases of the European Society of C, European Association for the Study of D. Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary. The task force on diabetes and cardiovascular diseases of the European society of cardiology (esc) and of the European association for the study of diabetes (easd). Eur Heart J. 2007;28:88–136.
3.
Zurück zum Zitat Stehouwer CD, Henry RM, Ferreira I. Arterial stiffness in diabetes and the metabolic syndrome: a pathway to cardiovascular disease. Diabetologia. 2008;51:527–39.CrossRef Stehouwer CD, Henry RM, Ferreira I. Arterial stiffness in diabetes and the metabolic syndrome: a pathway to cardiovascular disease. Diabetologia. 2008;51:527–39.CrossRef
4.
Zurück zum Zitat Lyle AN, Raaz U. Killing me unsoftly: causes and mechanisms of arterial stiffness. Arterioscler Thromb Vasc Biol. 2017;37:e1–11.CrossRef Lyle AN, Raaz U. Killing me unsoftly: causes and mechanisms of arterial stiffness. Arterioscler Thromb Vasc Biol. 2017;37:e1–11.CrossRef
5.
Zurück zum Zitat Raaz U, Zollner AM, Schellinger IN, Toh R, Nakagami F, Brandt M, Emrich FC, Kayama Y, Eken S, Adam M, Maegdefessel L, Hertel T, Deng A, Jagger A, Buerke M, Dalman RL, Spin JM, Kuhl E, Tsao PS. Segmental aortic stiffening contributes to experimental abdominal aortic aneurysm development. Circulation. 2015;131:1783–95.CrossRef Raaz U, Zollner AM, Schellinger IN, Toh R, Nakagami F, Brandt M, Emrich FC, Kayama Y, Eken S, Adam M, Maegdefessel L, Hertel T, Deng A, Jagger A, Buerke M, Dalman RL, Spin JM, Kuhl E, Tsao PS. Segmental aortic stiffening contributes to experimental abdominal aortic aneurysm development. Circulation. 2015;131:1783–95.CrossRef
6.
Zurück zum Zitat Schram MT, Henry RM, van Dijk RA, Kostense PJ, Dekker JM, Nijpels G, Heine RJ, Bouter LM, Westerhof N, Stehouwer CD. Increased central artery stiffness in impaired glucose metabolism and type 2 diabetes: the hoorn study. Hypertension. 2004;43:176–81.CrossRef Schram MT, Henry RM, van Dijk RA, Kostense PJ, Dekker JM, Nijpels G, Heine RJ, Bouter LM, Westerhof N, Stehouwer CD. Increased central artery stiffness in impaired glucose metabolism and type 2 diabetes: the hoorn study. Hypertension. 2004;43:176–81.CrossRef
7.
Zurück zum Zitat Raaz U, Schellinger IN, Chernogubova E, Warnecke C, Kayama Y, Penov K, Hennigs JK, Salomons F, Eken S, Emrich FC, Zheng WH, Adam M, Jagger A, Nakagami F, Toh R, Toyama K, Deng A, Buerke M, Maegdefessel L, Hasenfuss G, Spin JM, Tsao PS. Transcription factor runx2 promotes aortic fibrosis and stiffness in type 2 diabetes mellitus. Circ Res. 2015;117:513–24.CrossRef Raaz U, Schellinger IN, Chernogubova E, Warnecke C, Kayama Y, Penov K, Hennigs JK, Salomons F, Eken S, Emrich FC, Zheng WH, Adam M, Jagger A, Nakagami F, Toh R, Toyama K, Deng A, Buerke M, Maegdefessel L, Hasenfuss G, Spin JM, Tsao PS. Transcription factor runx2 promotes aortic fibrosis and stiffness in type 2 diabetes mellitus. Circ Res. 2015;117:513–24.CrossRef
8.
Zurück zum Zitat Wellen KE, Hotamisligil GS. Inflammation, stress, and diabetes. J Clin Investig. 2005;115:1111–9.CrossRef Wellen KE, Hotamisligil GS. Inflammation, stress, and diabetes. J Clin Investig. 2005;115:1111–9.CrossRef
9.
Zurück zum Zitat Cao Y, Feng B, Chen S, Chu Y, Chakrabarti S. Mechanisms of endothelial to mesenchymal transition in the retina in diabetes. Invest Ophthalmol Vis Sci. 2014;55:7321–31.CrossRef Cao Y, Feng B, Chen S, Chu Y, Chakrabarti S. Mechanisms of endothelial to mesenchymal transition in the retina in diabetes. Invest Ophthalmol Vis Sci. 2014;55:7321–31.CrossRef
10.
Zurück zum Zitat Kaur H, Chen S, Xin X, Chiu J, Khan ZA, Chakrabarti S. Diabetes-induced extracellular matrix protein expression is mediated by transcription coactivator p300. Diabetes. 2006;55:3104–11.CrossRef Kaur H, Chen S, Xin X, Chiu J, Khan ZA, Chakrabarti S. Diabetes-induced extracellular matrix protein expression is mediated by transcription coactivator p300. Diabetes. 2006;55:3104–11.CrossRef
11.
Zurück zum Zitat Khan ZA, Cukiernik M, Gonder JR, Chakrabarti S. Oncofetal fibronectin in diabetic retinopathy. Invest Ophthalmol Vis Sci. 2004;45:287–95.CrossRef Khan ZA, Cukiernik M, Gonder JR, Chakrabarti S. Oncofetal fibronectin in diabetic retinopathy. Invest Ophthalmol Vis Sci. 2004;45:287–95.CrossRef
12.
Zurück zum Zitat Vanchin B, Offringa E, Friedrich J, Brinker MG, Kiers B, Pereira AC, Harmsen MC, Moonen JA, Krenning G. Microrna-374b induces endothelial-to-mesenchymal transition and early lesion formation through the inhibition of mapk7 signaling. J Pathol. 2019;247:456–70.CrossRef Vanchin B, Offringa E, Friedrich J, Brinker MG, Kiers B, Pereira AC, Harmsen MC, Moonen JA, Krenning G. Microrna-374b induces endothelial-to-mesenchymal transition and early lesion formation through the inhibition of mapk7 signaling. J Pathol. 2019;247:456–70.CrossRef
13.
Zurück zum Zitat Evrard SM, Lecce L, Michelis KC, Nomura-Kitabayashi A, Pandey G, Purushothaman KR, d’Escamard V, Li JR, Hadri L, Fujitani K, Moreno PR, Benard L, Rimmele P, Cohain A, Mecham B, Randolph GJ, Nabel EG, Hajjar R, Fuster V, Boehm M, Kovacic JC. Endothelial to mesenchymal transition is common in atherosclerotic lesions and is associated with plaque instability. Nat Commun. 2016;7:11853.CrossRef Evrard SM, Lecce L, Michelis KC, Nomura-Kitabayashi A, Pandey G, Purushothaman KR, d’Escamard V, Li JR, Hadri L, Fujitani K, Moreno PR, Benard L, Rimmele P, Cohain A, Mecham B, Randolph GJ, Nabel EG, Hajjar R, Fuster V, Boehm M, Kovacic JC. Endothelial to mesenchymal transition is common in atherosclerotic lesions and is associated with plaque instability. Nat Commun. 2016;7:11853.CrossRef
14.
Zurück zum Zitat Chen PY, Qin L, Baeyens N, Li G, Afolabi T, Budatha M, Tellides G, Schwartz MA, Simons M. Endothelial-to-mesenchymal transition drives atherosclerosis progression. J Clin Investig. 2015;125:4514–28.CrossRef Chen PY, Qin L, Baeyens N, Li G, Afolabi T, Budatha M, Tellides G, Schwartz MA, Simons M. Endothelial-to-mesenchymal transition drives atherosclerosis progression. J Clin Investig. 2015;125:4514–28.CrossRef
15.
Zurück zum Zitat Mahmoud MM, Serbanovic-Canic J, Feng S, Souilhol C, Xing R, Hsiao S, Mammoto A, Chen J, Ariaans M, Francis SE, Van der Heiden K, Ridger V, Evans PC. Shear stress induces endothelial-to-mesenchymal transition via the transcription factor snail. Sci Rep. 2017;7:3375.CrossRef Mahmoud MM, Serbanovic-Canic J, Feng S, Souilhol C, Xing R, Hsiao S, Mammoto A, Chen J, Ariaans M, Francis SE, Van der Heiden K, Ridger V, Evans PC. Shear stress induces endothelial-to-mesenchymal transition via the transcription factor snail. Sci Rep. 2017;7:3375.CrossRef
16.
Zurück zum Zitat Rieder F, Kessler SP, West GA, Bhilocha S, de la Motte C, Sadler TM, Gopalan B, Stylianou E, Fiocchi C. Inflammation-induced endothelial-to-mesenchymal transition: a novel mechanism of intestinal fibrosis. Am J Pathol. 2011;179:2660–73.CrossRef Rieder F, Kessler SP, West GA, Bhilocha S, de la Motte C, Sadler TM, Gopalan B, Stylianou E, Fiocchi C. Inflammation-induced endothelial-to-mesenchymal transition: a novel mechanism of intestinal fibrosis. Am J Pathol. 2011;179:2660–73.CrossRef
17.
Zurück zum Zitat Zeisberg EM, Potenta SE, Sugimoto H, Zeisberg M, Kalluri R. Fibroblasts in kidney fibrosis emerge via endothelial-to-mesenchymal transition. J Am Soc Nephrol. 2008;19:2282–7.CrossRef Zeisberg EM, Potenta SE, Sugimoto H, Zeisberg M, Kalluri R. Fibroblasts in kidney fibrosis emerge via endothelial-to-mesenchymal transition. J Am Soc Nephrol. 2008;19:2282–7.CrossRef
18.
Zurück zum Zitat Zeisberg EM, Tarnavski O, Zeisberg M, Dorfman AL, McMullen JR, Gustafsson E, Chandraker A, Yuan X, Pu WT, Roberts AB, Neilson EG, Sayegh MH, Izumo S, Kalluri R. Endothelial-to-mesenchymal transition contributes to cardiac fibrosis. Nat Med. 2007;13:952–61.CrossRef Zeisberg EM, Tarnavski O, Zeisberg M, Dorfman AL, McMullen JR, Gustafsson E, Chandraker A, Yuan X, Pu WT, Roberts AB, Neilson EG, Sayegh MH, Izumo S, Kalluri R. Endothelial-to-mesenchymal transition contributes to cardiac fibrosis. Nat Med. 2007;13:952–61.CrossRef
19.
Zurück zum Zitat Correia AC, Moonen JR, Brinker MG, Krenning G. Fgf2 inhibits endothelial-mesenchymal transition through microrna-20a-mediated repression of canonical tgf-beta signaling. J Cell Sci. 2016;129:569–79. Correia AC, Moonen JR, Brinker MG, Krenning G. Fgf2 inhibits endothelial-mesenchymal transition through microrna-20a-mediated repression of canonical tgf-beta signaling. J Cell Sci. 2016;129:569–79.
20.
Zurück zum Zitat Feng B, Cao Y, Chen S, Chu X, Chu Y, Chakrabarti S. Mir-200b mediates endothelial-to-mesenchymal transition in diabetic cardiomyopathy. Diabetes. 2016;65:768–79.CrossRef Feng B, Cao Y, Chen S, Chu X, Chu Y, Chakrabarti S. Mir-200b mediates endothelial-to-mesenchymal transition in diabetic cardiomyopathy. Diabetes. 2016;65:768–79.CrossRef
21.
Zurück zum Zitat Kumarswamy R, Volkmann I, Jazbutyte V, Dangwal S, Park DH, Thum T. Transforming growth factor-beta-induced endothelial-to-mesenchymal transition is partly mediated by microrna-21. Arterioscler Thromb Vasc Biol. 2012;32:361–9.CrossRef Kumarswamy R, Volkmann I, Jazbutyte V, Dangwal S, Park DH, Thum T. Transforming growth factor-beta-induced endothelial-to-mesenchymal transition is partly mediated by microrna-21. Arterioscler Thromb Vasc Biol. 2012;32:361–9.CrossRef
22.
Zurück zum Zitat Chen PY, Qin L, Barnes C, Charisse K, Yi T, Zhang X, Ali R, Medina PP, Yu J, Slack FJ, Anderson DG, Kotelianski V, Wang F, Tellides G, Simons M. Fgf regulates tgf-beta signaling and endothelial-to-mesenchymal transition via control of let-7 mirna expression. Cell Rep. 2012;2:1684–96.CrossRef Chen PY, Qin L, Barnes C, Charisse K, Yi T, Zhang X, Ali R, Medina PP, Yu J, Slack FJ, Anderson DG, Kotelianski V, Wang F, Tellides G, Simons M. Fgf regulates tgf-beta signaling and endothelial-to-mesenchymal transition via control of let-7 mirna expression. Cell Rep. 2012;2:1684–96.CrossRef
23.
Zurück zum Zitat Pillai RS, Bhattacharyya SN, Filipowicz W. Repression of protein synthesis by mirnas: How many mechanisms? Trends Cell Biol. 2007;17:118–26.CrossRef Pillai RS, Bhattacharyya SN, Filipowicz W. Repression of protein synthesis by mirnas: How many mechanisms? Trends Cell Biol. 2007;17:118–26.CrossRef
24.
Zurück zum Zitat Betel D, Wilson M, Gabow A, Marks DS, Sander C. The microrna.Org resource: targets and expression. Nucl Acids Res. 2008;36:D149-153.CrossRef Betel D, Wilson M, Gabow A, Marks DS, Sander C. The microrna.Org resource: targets and expression. Nucl Acids Res. 2008;36:D149-153.CrossRef
25.
Zurück zum Zitat Grimson A, Farh KK, Johnston WK, Garrett-Engele P, Lim LP, Bartel DP. Microrna targeting specificity in mammals: determinants beyond seed pairing. Mol Cell. 2007;27:91–105.CrossRef Grimson A, Farh KK, Johnston WK, Garrett-Engele P, Lim LP, Bartel DP. Microrna targeting specificity in mammals: determinants beyond seed pairing. Mol Cell. 2007;27:91–105.CrossRef
26.
Zurück zum Zitat Krek A, Grun D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, MacMenamin P, da Piedade I, Gunsalus KC, Stoffel M, Rajewsky N. Combinatorial microrna target predictions. Nat Genet. 2005;37:495–500.CrossRef Krek A, Grun D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, MacMenamin P, da Piedade I, Gunsalus KC, Stoffel M, Rajewsky N. Combinatorial microrna target predictions. Nat Genet. 2005;37:495–500.CrossRef
27.
Zurück zum Zitat Neumann P, Jae N, Knau A, Glaser SF, Fouani Y, Rossbach O, Kruger M, John D, Bindereif A, Grote P, Boon RA, Dimmeler S. The lncrna gata6-as epigenetically regulates endothelial gene expression via interaction with loxl2. Nat Commun. 2018;9:237.CrossRef Neumann P, Jae N, Knau A, Glaser SF, Fouani Y, Rossbach O, Kruger M, John D, Bindereif A, Grote P, Boon RA, Dimmeler S. The lncrna gata6-as epigenetically regulates endothelial gene expression via interaction with loxl2. Nat Commun. 2018;9:237.CrossRef
28.
Zurück zum Zitat Tang R, Li Q, Lv L, Dai H, Zheng M, Ma K, Liu B. Angiotensin ii mediates the high-glucose-induced endothelial-to-mesenchymal transition in human aortic endothelial cells. Cardiovasc Diabetol. 2010;9:31.CrossRef Tang R, Li Q, Lv L, Dai H, Zheng M, Ma K, Liu B. Angiotensin ii mediates the high-glucose-induced endothelial-to-mesenchymal transition in human aortic endothelial cells. Cardiovasc Diabetol. 2010;9:31.CrossRef
29.
Zurück zum Zitat Yu CH, Suriguga, Gong M, Liu WJ, Cui NX, Wang Y, Du X, Yi ZC. High glucose induced endothelial to mesenchymal transition in human umbilical vein endothelial cell. Exp Mol Pathol. 2017;102:377–83.CrossRef Yu CH, Suriguga, Gong M, Liu WJ, Cui NX, Wang Y, Du X, Yi ZC. High glucose induced endothelial to mesenchymal transition in human umbilical vein endothelial cell. Exp Mol Pathol. 2017;102:377–83.CrossRef
30.
Zurück zum Zitat Chen XY, Lv RJ, Zhang W, Yan YG, Li P, Dong WQ, Liu X, Liang ES, Tian HL, Lu QH, Zhang MX. Inhibition of myocyte-specific enhancer factor 2a improved diabetic cardiac fibrosis partially by regulating endothelial-to-mesenchymal transition. Oncotarget. 2016;7:31053–66.CrossRef Chen XY, Lv RJ, Zhang W, Yan YG, Li P, Dong WQ, Liu X, Liang ES, Tian HL, Lu QH, Zhang MX. Inhibition of myocyte-specific enhancer factor 2a improved diabetic cardiac fibrosis partially by regulating endothelial-to-mesenchymal transition. Oncotarget. 2016;7:31053–66.CrossRef
31.
Zurück zum Zitat Liu X, Mujahid H, Rong B, Lu QH, Zhang W, Li P, Li N, Liang ES, Wang Q, Tang DQ, Li NL, Ji XP, Chen YG, Zhao YX, Zhang MX. Irisin inhibits high glucose-induced endothelial-to-mesenchymal transition and exerts a dose-dependent bidirectional effect on diabetic cardiomyopathy. J Cell Mol Med. 2018;22:808–22. Liu X, Mujahid H, Rong B, Lu QH, Zhang W, Li P, Li N, Liang ES, Wang Q, Tang DQ, Li NL, Ji XP, Chen YG, Zhao YX, Zhang MX. Irisin inhibits high glucose-induced endothelial-to-mesenchymal transition and exerts a dose-dependent bidirectional effect on diabetic cardiomyopathy. J Cell Mol Med. 2018;22:808–22.
32.
Zurück zum Zitat Tang RN, Lv LL, Zhang JD, Dai HY, Li Q, Zheng M, Ni J, Ma KL, Liu BC. Effects of angiotensin ii receptor blocker on myocardial endothelial-to-mesenchymal transition in diabetic rats. Int J Cardiol. 2013;162:92–9.CrossRef Tang RN, Lv LL, Zhang JD, Dai HY, Li Q, Zheng M, Ni J, Ma KL, Liu BC. Effects of angiotensin ii receptor blocker on myocardial endothelial-to-mesenchymal transition in diabetic rats. Int J Cardiol. 2013;162:92–9.CrossRef
33.
Zurück zum Zitat Yan F, Zhang GH, Feng M, Zhang W, Zhang JN, Dong WQ, Zhang C, Zhang Y, Chen L, Zhang MX. Glucagon-like peptide 1 protects against hyperglycemic-induced endothelial-to-mesenchymal transition and improves myocardial dysfunction by suppressing poly(adp-ribose) polymerase 1 activity. Mol Med. 2015;21:15–25.CrossRef Yan F, Zhang GH, Feng M, Zhang W, Zhang JN, Dong WQ, Zhang C, Zhang Y, Chen L, Zhang MX. Glucagon-like peptide 1 protects against hyperglycemic-induced endothelial-to-mesenchymal transition and improves myocardial dysfunction by suppressing poly(adp-ribose) polymerase 1 activity. Mol Med. 2015;21:15–25.CrossRef
34.
Zurück zum Zitat Chen Y, Yang Q, Zhan Y, Ke J, Lv P, Huang J. The role of mir-328 in high glucose-induced endothelial-to-mesenchymal transition in human umbilical vein endothelial cells. Life Sci. 2018;207:110–6.CrossRef Chen Y, Yang Q, Zhan Y, Ke J, Lv P, Huang J. The role of mir-328 in high glucose-induced endothelial-to-mesenchymal transition in human umbilical vein endothelial cells. Life Sci. 2018;207:110–6.CrossRef
35.
Zurück zum Zitat Liu F, Zhang S, Xu R, Gao S, Yin J. Melatonin attenuates endothelial-to-mesenchymal transition of glomerular endothelial cells via regulating mir-497/rock in diabetic nephropathy. Kidney Blood Press Res. 2018;43:1425–36.CrossRef Liu F, Zhang S, Xu R, Gao S, Yin J. Melatonin attenuates endothelial-to-mesenchymal transition of glomerular endothelial cells via regulating mir-497/rock in diabetic nephropathy. Kidney Blood Press Res. 2018;43:1425–36.CrossRef
36.
Zurück zum Zitat Guan H, Shang G, Cui Y, Liu J, Sun X, Cao W, Wang Y, Li Y. Long noncoding RNA aptr contributes to osteosarcoma progression through repression of mir-132–3p and upregulation of yes-associated protein 1. J Cell Physiol. 2018;234:8998–9007.CrossRef Guan H, Shang G, Cui Y, Liu J, Sun X, Cao W, Wang Y, Li Y. Long noncoding RNA aptr contributes to osteosarcoma progression through repression of mir-132–3p and upregulation of yes-associated protein 1. J Cell Physiol. 2018;234:8998–9007.CrossRef
37.
Zurück zum Zitat Li G, Liu K, Du X. Long non-coding rna tug1 promotes proliferation and inhibits apoptosis of osteosarcoma cells by sponging mir-132-3p and upregulating sox4 expression. Yonsei Med J. 2018;59:226–35.CrossRef Li G, Liu K, Du X. Long non-coding rna tug1 promotes proliferation and inhibits apoptosis of osteosarcoma cells by sponging mir-132-3p and upregulating sox4 expression. Yonsei Med J. 2018;59:226–35.CrossRef
38.
Zurück zum Zitat Song H, He P, Shao T, Li Y, Li J, Zhang Y. Long non-coding RNA xist functions as an oncogene in human colorectal cancer by targeting mir-132–3p. J BUON. 2017;22:696–703. Song H, He P, Shao T, Li Y, Li J, Zhang Y. Long non-coding RNA xist functions as an oncogene in human colorectal cancer by targeting mir-132–3p. J BUON. 2017;22:696–703.
39.
Zurück zum Zitat Zhang M, Li Y, Wang H, Yu W, Lin S, Guo J. Lncrna snhg5 affects cell proliferation, metastasis and migration of colorectal cancer through regulating mir-132–3p/creb5. Cancer Biol Therapy. 2018;20:524–36.CrossRef Zhang M, Li Y, Wang H, Yu W, Lin S, Guo J. Lncrna snhg5 affects cell proliferation, metastasis and migration of colorectal cancer through regulating mir-132–3p/creb5. Cancer Biol Therapy. 2018;20:524–36.CrossRef
40.
Zurück zum Zitat Zhou X, Luo D, Sun H, Qi Y, Xu W, Jin X, Li C, Lin Z, Li G. Mir-132-3p regulates adamts-5 expression and promotes chondrogenic differentiation of rat mesenchymal stem cells. J Cell Biochem. 2018;119:2579–87.CrossRef Zhou X, Luo D, Sun H, Qi Y, Xu W, Jin X, Li C, Lin Z, Li G. Mir-132-3p regulates adamts-5 expression and promotes chondrogenic differentiation of rat mesenchymal stem cells. J Cell Biochem. 2018;119:2579–87.CrossRef
41.
Zurück zum Zitat Bieker JJ. Kruppel-like factors: three fingers in many pies. J Biol Chem. 2001;276:34355–8.CrossRef Bieker JJ. Kruppel-like factors: three fingers in many pies. J Biol Chem. 2001;276:34355–8.CrossRef
42.
Zurück zum Zitat Black AR, Black JD, Azizkhan-Clifford J. Sp1 and kruppel-like factor family of transcription factors in cell growth regulation and cancer. J Cell Physiol. 2001;188:143–60.CrossRef Black AR, Black JD, Azizkhan-Clifford J. Sp1 and kruppel-like factor family of transcription factors in cell growth regulation and cancer. J Cell Physiol. 2001;188:143–60.CrossRef
43.
Zurück zum Zitat Ding X, Wang X, Gong Y, Ruan H, Sun Y, Yu Y. Klf7 overexpression in human oral squamous cell carcinoma promotes migration and epithelial-mesenchymal transition. Oncol Lett. 2017;13:2281–9.CrossRef Ding X, Wang X, Gong Y, Ruan H, Sun Y, Yu Y. Klf7 overexpression in human oral squamous cell carcinoma promotes migration and epithelial-mesenchymal transition. Oncol Lett. 2017;13:2281–9.CrossRef
44.
Zurück zum Zitat Zhao L, Zhang Y, Liu J, Yin W, Jin D, Wang D, Zhang W. Mir-185 inhibits cell proliferation and invasion of non-small cell lung cancer by targeting klf7. Oncol Res. 2018;27:1015.CrossRef Zhao L, Zhang Y, Liu J, Yin W, Jin D, Wang D, Zhang W. Mir-185 inhibits cell proliferation and invasion of non-small cell lung cancer by targeting klf7. Oncol Res. 2018;27:1015.CrossRef
45.
Zurück zum Zitat Vangala RK, Ravindran V, Ghatge M, Shanker J, Arvind P, Bindu H, Shekar M, Rao VS. Integrative bioinformatics analysis of genomic and proteomic approaches to understand the transcriptional regulatory program in coronary artery disease pathways. PLoS ONE. 2013;8:e57193.CrossRef Vangala RK, Ravindran V, Ghatge M, Shanker J, Arvind P, Bindu H, Shekar M, Rao VS. Integrative bioinformatics analysis of genomic and proteomic approaches to understand the transcriptional regulatory program in coronary artery disease pathways. PLoS ONE. 2013;8:e57193.CrossRef
46.
Zurück zum Zitat Moonen JR, Lee ES, Schmidt M, Maleszewska M, Koerts JA, Brouwer LA, van Kooten TG, van Luyn MJ, Zeebregts CJ, Krenning G, Harmsen MC. Endothelial-to-mesenchymal transition contributes to fibro-proliferative vascular disease and is modulated by fluid shear stress. Cardiovasc Res. 2015;108:377–86.CrossRef Moonen JR, Lee ES, Schmidt M, Maleszewska M, Koerts JA, Brouwer LA, van Kooten TG, van Luyn MJ, Zeebregts CJ, Krenning G, Harmsen MC. Endothelial-to-mesenchymal transition contributes to fibro-proliferative vascular disease and is modulated by fluid shear stress. Cardiovasc Res. 2015;108:377–86.CrossRef
Metadaten
Titel
miR-132-3p and KLF7 as novel regulators of aortic stiffening-associated EndMT in type 2 diabetes mellitus
verfasst von
Melanie S. Hulshoff
Isabel N. Schellinger
Xingbo Xu
Jolien Fledderus
Sandip K. Rath
Fang Cheng Wong
Sabine Maamari
Josephina Haunschild
Guido Krenning
Uwe Raaz
Elisabeth M. Zeisberg
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
Diabetology & Metabolic Syndrome / Ausgabe 1/2023
Elektronische ISSN: 1758-5996
DOI
https://doi.org/10.1186/s13098-022-00966-y

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