Skip to main content
Stem Cell Research & Therapy logoLink to Stem Cell Research & Therapy
. 2020 Jul 2;11:266. doi: 10.1186/s13287-020-01780-x

Nonadherent culture method promotes MSC-mediated vascularization in myocardial infarction via miR-519d/VEGFA pathway

Baoping Deng 1,2, Xianlan Zhang 2, Yi Liang 1, Haiming Jiang 1, Weizhao Huang 1, Yinmeng Wu 1, Weiping Deng 3,
PMCID: PMC7330937  PMID: 32616068

Abstract

Background

Mesenchymal stem cells (MSCs) can provide therapeutic benefits for myocardial infarction (MI) recovery; however, the molecular mechanism by which MSCs improve the heart function is unclear.

Methods

Microarray analysis was performed to examine the expression profiling of human MSCs (hMSCs) grown as adherent cultures (AC-hMSCs) or nonadherent cultures on ultra-low-adherent plates (nonAC-hMSCs). Real-time quantitative polymerase chain reaction (RT-qPCR), western blotting, and enzyme-linked immunosorbent assays (ELISA) were used to assess VEGFA expression and secretion in the AC-hMSCs and nonAC-hMSCs. The paracrine effect of VEGFA-overexpressing AC-MSCs (AC-VEGFA-hMSCs) or VEGFA-knockdown nonAC-hMSCs (nonAC-shVEGFA-hMSCs) on the angiogenic ability of human umbilical vein endothelial cells (HUVECs) was evaluated using tube formation assay. AC-VEGFA-hMSCs or nonAC-shVEGFA-hMSCs were transplanted into myocardial infarction rats to investigate the therapeutic effect of AC-VEGFA-hMSCs or nonAC-shVEGFA-hMSCs. Luciferase reporter assay was used to confirm the association of VEGFA with miR-519d.

Results

Microarray analysis revealed that VEGFA is downregulated in AC-hMSCs compared to nonAC-hMSCs. Functional assays revealed that high levels of VEGFA produced from AC-VEGFA-hMSCs increased the tube formation capacity of HUVECs in vitro, improved angiogenesis and cardiac performance, and reduced infarct size in a rat MI model. Low levels of VEGFA secretion from nonAC-shVEGFA-hMSCs had the opposite effects. Mechanistically, we found that miR-519d directly targets VEGFA. High levels of VEGFA secreted from VEGFA-overexpressing nonAC-hMSCs abolished the repressive effect of miR-519d on HUVEC angiogenesis.

Conclusion

Our findings indicate that nonadherent culture-induced secretion of VEGFA plays an important role in MSCs via the miR-519d/VEGFA pathway and may provide a novel therapeutic strategy for MI treatment.

Keywords: Mesenchymal stem cells, Myocardial infarction, VEGFA, Angiogenesis, miR-519d, Nonadherent culture

Introduction

Myocardial infarction (MI) is a major cause of mortality and disability in the world [1]. Pharmacologic intervention and conventional revascularization techniques, such as coronary artery bypass grafting, balloon angioplasty, and stenting, can restore blood flow and maintain myocardial viability and function; however, these treatment methods cannot salvage the dying myocardium or repair cardiac function [2]. In recent years, stem cell therapy has become a promising approach to treat MI, as it has the potential to restore damaged myocardium [3, 4]. Mesenchymal stem cells (MSCs) exist in the bone marrow, umbilical cord blood, adipose, and many other tissues [5] and have multilineage differentiation potential, self-renewal capacity, and immunomodulatory properties [6], while posing a low immunorejection risk [7]. Thus, MSCs have been commonly used in experimental research and clinical trials for treating MI. Often for this application, a large amount of MSCs must be isolated from the same tissues and expanded in plastic adherent culturing containers [7, 8]. It was recently reported that in vitro expansion in conventional monolayer cultures can alter the phenotype of MSCs, which may cause cell trapping within the lung and a low rate of delivery to target organs [912]. Qian et al. [13] showed that primary MSCs lacked CD44, whereas culture-expanded MSCs acquired CD44 expression. Compared to primary MSCs, cultured MSCs with high levels of CD44 displayed decreased targeting to the bone marrow [13]. Our previous research revealed that stem cell antigen 1 (Sca-1) is expressed at higher levels in adherent cultured mouse MSCs (AC-mMSCs) compared to mMSCs in nonadherent cultures maintained in ultra-low-adherent plates (nonAC-mMSCs) [14]. Sca-1+ mMSCs play a crucial role in improving cardiac function in MI [14, 15]. Compared with nonadherent cultured human MSCs (nonAC-hMSCs), adherent cultured hMSCs (AC-hMSCs) with high protein expression of caspase-3, caspase-7, and caspase-9 had a marked decrease in cell apoptosis [16]. Therefore, it is important to investigate the changes in MSC phenotype that occur during in vitro cultivation.

MSC therapy with angiogenic factors holds a great promise for ischemic disease treatment due to neovascularization [17, 18]. Vascular endothelial growth factor A (VEGFA) is a major driver of angiogenesis and vasculogenesis [19]. VEGFA could regulate angiogenesis and myogenesis in cardiac repair [20, 21]. A growing body of research demonstrated that VEGFA promotes MSC viability in the infarcted hearts via decreasing cellular stress and enhancing cell survival factors [22, 23]. Therefore, it is anticipated that VEGFA-gene-modified MSCs may provide a potentially valuable approach for MI treatment due to increase survival and angiogenic capacity.

In this study, we identified that VEGFA expression is significantly higher in nonAC-hMSCs than in AC-hMSCs, as detected by microarray analysis. The increased levels of VEGFA secreted from VEGFA-overexpressing AC-hMSCs (AC-VEGFA-hMSCs) facilitated tube formation of human umbilical vein endothelial cells (HUVECs), while the decreased levels of VEGFA secreted by nonAC-hMSCs with VEGFA knockdown (nonAC-shVEGFA-hMSCs) led to the opposite effect. In a rat MI model, the increased levels of VEGFA released from AC-VEGFA-hMSCs promoted angiogenesis, decreased infarct size, and improved myocardial function, while the decreased levels of VEGFA secreted by nonAC-shVEGFA-hMSCs reduced angiogenesis, increased infarct size, and impaired cardiac remodeling. Further studies on the mechanism underlying these changes indicated that VEGFA is a direct target of miR-519d. High levels of VEGFA produced by VEGFA-overexpressing nonAC-hMSCs reversed the inhibitory effect of miR-519d on the tube formation capability of HUVECs.

Materials and methods

Isolation and expansion of hMSCs and in vitro nonadherent culture conditions

hMSCs were isolated from the bone marrow of adult donors (ages 18–25) who underwent orthopedic surgery as described previously [16]. hMSCs were seeded in adherent culture plates (AC-hMSCs) or ultra-low-adherent tissue culture plates (nonAC-hMSCs; Corning®, Corning, NY) and grown in Dulbecco’s modified Eagle’s medium (DMEM; GIBCO, Grand Island, NY) for 24 h or 72 h. All cells were incubated in a humidified incubator with 5% CO2 at 37 °C. This study was approved by the Ethics Committee of Affiliated Hospital of Guilin Medical University (Guilin, China), and informed consent was obtained from all participants.

Flow cytometry

Cells were harvested, washed, and resuspended. The antibodies included anti-CD11b (BD Biosciences, Franklin Lakes, NJ, USA), anti-CD14 (BD Biosciences), anti-CD34 (BD Biosciences), anti-CD45 (BD Biosciences), anti-CD73 (BD Biosciences), anti-CD90 (BD Biosciences), and anti-CD105 (BD Biosciences) were added to the cells at 4 °C for 1 h. Then, cells were analyzed on a BD FACSCalibur (BD Biosciences) and data was analyzed by BD FACSComp software (BD Biosciences). An isotype control immunoglobulin (BD Biosciences) was used as control.

mRNA microarray analysis

AC-hMSCs and nonAC-hMSCs grown for 24 h and 72 h were sent to the Shanghai Bohao Biotechnological Co., Ltd. (Shanghai, China), for mRNA microarray profiling. Microarray data were analyzed using GeneSping software (Agilent Technologies, Santa Clara, CA). The log2-fold change was determined by calculating gene expression in AC-hMSCs and nonAC-hMSCs. Differentially expressed genes were identified using a t test and Benjamini-Hochberg correction (corrected P < 0.05 and fold change > 2).

Plasmid construction, oligonucleotide, and transfection

The full-length VEGFA cDNA was PCR-amplified and inserted into a pcDNA3.1 plasmid. miR-519d mimics, miR-519d inhibitors, and the appropriate controls were purchased from Ribobio (Guangzhou, China). Transient transfection was performed using Lipofectamine 2000 (Invitrogen, Carlsbad, CA) according to the manufacturer’s instructions.

Lentiviruses and infection

VEGFA, shVEGFA, and the corresponding control lentiviruses also carrying the GFP coding sequence were obtained from GeneChem Co., Ltd. (Shanghai, China). AC-hMSCs and nonAC-hMSCs were transduced with VEGFA or shVEGFA lentiviruses (AC-VEGFA-hMSCs or nonAC-shVEGFA-hMSCs), respectively. An inverted fluorescence microscope was used to detect GFP expression.

Real-time quantitative polymerase chain reaction (RT-qPCR)

Total RNA was extracted from cultured cells using Trizol reagent (Invitrogen). A microRNA Reverse Transcription Kit (Promega, Madison, WI, USA) or a PrimeScript RT-PCR kit (Takara, Dalian, China) was used to synthesize cDNA. RT-qPCR was carried out using SYBR Premix Ex Taq II (TaKaRa). Relative quantification of gene expression was determined using the 2-△△Ct method [24]. The following primers were used: VEGFA primers: forward 5′-GCAGAATCATCACGAAGTGGTG-3′, reverse 5′-TCTCGATTGGATGGCAGTAGCT-3′; β-actin primers: forward 5′-CTCCATCCTGGCCTCGCTGT-3′, reverse 5′-ACTAAGTCATAGTCCGCCTAGA-3′; miR-519d RT primers: 5′-GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACCACTCT-3′, PCR primers: forward 5′-GCCAAAGTGCCTCCCTTT-3′, reverse 5′-GTGCAGGGTCCGAGGT-3′; U6 primers: forward 5′-CTCGCTTCGGCAGCACA-3′, reverse 5′-AACGCTTCACGAATTTGCGT-3′.

Enzyme-linked immunosorbent assays (ELISA)

Conditioned medium (CM) was obtained from different MSC groups and centrifuged for further experiments. Rat heart tissues were homogenized in 20 mL of PBS, subjected to two freeze-thaw cycles, and centrifuged for further experiments. The secreted levels of VEGFA in the CM and rat heart tissues were examined using a VEGFA ELISA Kit (R&D System, Los Angeles, CA) according to the manufacturer’s protocol, and the absorbance at 450 nm was measured using a microplate reader. Each sample was assayed three times.

Tube formation assay

HUVECs were obtained from the Jennio Biotech (Guangzhou, China). HUVECs (2 × 104 cells) were suspended in CM obtained from different hMSC groups, added to the 96-well plates coated with Matrigel (BD Biosciences, Franklin Lakes, NJ) at a density of 2 × 104 cells/well, and incubated at 37 °C for 12 h. Images of tubular structures were captured and analyzed using Image-Pro Plus 6.0 software.

Rat MI model and hMSC transplantation

Male Sprague-Dawley rats weighing 250–350 g were subjected to MI using left anterior descending coronary artery (LADCA) ligation. After anesthetized with 10% chloral hydrate (250 mg/kg weight), the rats were intubated with polyethylene-16 tube and connected to the rodent ventilator (Harvard Apparatus, Holliston, MA). The chest was opened between the third and fourth ribs, and the pericardium was split to expose the left ventricle (LV), aorta, and left atrium. The LADCA was ligated using a 7-0 polypropylene suture 2 mm below the edge of the left atrium. Forty-eight rats were randomly divided into six treatment groups: rats that received AC-VEGFA-hMSCs (n = 8), nonAC-shVEGFA-hMSCs (n = 8), AC-hMSCs (n = 8), nonAC-hMSCs (n = 8), saline (MI group, n = 8), or saline (a sham operation, n = 8) in the infarct border region immediately after LAD ligation. The chest and skin were then closed. All experiments were approved by the Ethics Committee of the Affiliated Hospital of Guilin Medical University.

Cardiac function assessment

Four weeks after LADCA ligation, an echocardiography was performed using a Vevo 2100 system (Visualsonics, Toronto, ON, Canada) with a 21-MHz transducer. Rats were anesthetized with 10% chloral hydrate (250 mg/kg weight) for the exam. LV end-diastolic and end-systolic dimensions (LVEDD, LVESD) from the parasternal short-axis view at the papillary muscle were measured using M-mode tracing [25]. LV ejection fraction (LVEF) was calculated using the following formula: LVEF (%) = (LVEDD3 - LVESD3)/LVEDD3 × 100. LV fractional shortening (LVFS) was calculated as LVFS (%) = (LVEDD - LVESD)/LVEDD × 100. Measurements were done in triplicate.

Measurement of LV infarct size

The heart tissues were fixed in 10% formalin, embedded in paraffin, and cut into 5 μm slices. Sections were then stained with Masson’s trichrome according to the manufacturer’s instructions and examined using an optical microscope (Olympus, Tokyo, Japan), and images were acquired using a Retiga CCD camera. Image-Pro Plus 6.0 software was used to measure the infarct area and total LV area of each image. Infarct size was expressed as a percentage of the total LV area.

Immunohistochemical staining

Sections were dewaxed with xylene and rehydrated with graded ethanol. Subsequently, sections were pretreated with 0.01 M citrate buffer (pH 6.0) in a microwave oven at 95 °C for 20 min and incubated with 3% H2O2 for 15 min at room temperature. The sections were blocked with 10% sheep serum for 30 min and then incubated with anti-Von Willebrand Factor (vWF, Abcam, Cambridge, MA) primary antibody overnight at 4 °C. After washes with PBS, sections were incubated with secondary antibody for 30 min at room temperature and stained with diaminobenzidine. After counterstaining with hematoxylin, sections were analyzed using an optical microscope (Olympus) and photographed using a digital camera.

Luciferase reporter assay

The VEGFA 3′ UTR, which contains a putative miR-519d binding site, was PCR-amplified and inserted into the psiCHECK-2 luciferase reporter plasmid (VEGFA-3′ UTR-WT; Promega). Site-directed mutagenesis (Stratagene, La Jolla, CA) was used to construct the mutant VEGFA 3′ UTR (Mut), which was then cloned into the psiCHECK-2 luciferase reporter plasmid (VEGFA-3′ UTR-Mut). VEGFA-3′ UTR-WT or VEGFA-3′ UTR-Mut vectors were transfected into HEK293T cells. Luciferase activity was analyzed 48 h after transfection using a dual-luciferase reporter assay kit (Promega). Data are represented as the Renilla/firefly luciferase ratio.

Western blotting

Tissues and cells were lysed with RIPA lysis buffer (Beyotime Biotechnology, Shanghai, China) containing protease inhibitor. Protein extracts were separated by SDS-PAGE and transferred onto a PVDF membrane (Millipore, Billerica, MA). The membrane was blocked with 5% non-fat milk and incubated with anti-VEGFA primary antibody (Abcam) at 4 °C overnight, followed by incubation with HRP-conjugated secondary antibody at room temperature. Protein signals were visualized using an ECL detection kit (Millipore).

Statistical analysis

The data analysis was performed using SPSS 20.0 software. The differences between two groups were evaluated using student’s t tests. Values are expressed as the mean ± standard deviation. P values < 0.05 were considered statistically significant.

Results

Increased VEGFA expression and production are observed in nonAC-hMSCs

We first used flow cytometry to identify MSCs and found that hMSCs were positive for CD73, CD90, and CD105, whereas negative for CD11b, CD14, CD34, and CD45 (Additional file 1: Figure S1). Next, microarray analysis was performed in order to profile mRNAs in AC-hMSCs and nonAC-hMSCs at two different time points (Fig. 1a; Additional file 2: Table S1; Additional file 3: Table S2). Two thousand four hundred ninety-six mRNAs were downregulated (1663 genes at 24 h and 1820 genes at 72 h), and 2400 mRNAs were upregulated (1489 genes at 24 h and 1766 genes at 72 h) in nonAC-hMSCs when compared to those in AC-hMSCs (Fig. 1b). The mRNA expression profiles from nonAC-hMSCs at two different time points showed some overlap, with 987 downregulated mRNAs and 855 upregulated mRNAs shared between both samples (Fig. 1b). The 50 most downregulated and 50 most upregulated mRNAs in nonAC-hMSCs at both time points are shown as a heat map in Fig. 1a and are listed in Table 1. The expression of VEGFA in the nonAC-hMSCs was significantly higher than that in the AC-hMSCs at the two time points (Table 1). This increase in VEGFA mRNA in the nonAC-hMSCs was also verified by RT-qPCR. Western blot results showed that the VEGFA protein level was higher in nonAC-hMSCs than in AC-hMSCs (Fig. 1c, d; Additional file 4: Figure S2A). Moreover, the secretion of VEGFA, as determined by ELISA, was significantly higher in nonAC-hMSCs than in AC-hMSCs (Fig. 1e). Taken together, these results indicate that the nonadherent culture method elevates the expression of VEGFA in hMSCs and facilitates VEGFA secretion.

Fig. 1.

Fig. 1

Increased VEGFA expression is observed in the nonAC-hMSCs at two different time points. a The 50 most downregulated and 50 most upregulated mRNAs in the AC-hMSCs and nonAC-hMSCs at 24 h and 72 h. b Venn diagram of upregulated and downregulated genes in the AC-hMSCs and nonAC-hMSCs at 24 h and 72 h. c VEGFA mRNA and d protein expression levels in AC-hMSCs and nonAC-hMSCs at 24 h and 72 h were measured by RT-qPCR and western blotting, respectively. e VEGFA secretion from hMSCs as determined by ELISA. Data are represented as mean ± SD (n = 3 per group). P < 0.05

Table 1.

Differential expression of genes in AC-hMSCs and nonAC-hMSCs at two different time points

Gene name 24 h 72 h
Fold change p value Regulation Fold change p value Regulation
C2CD4B 111.8401912 0.000145643 Up 1340.34 0.000682199 Up
SSTR2 48.09021308 0.000555557 Up 307.6615 0.000223379 Up
SLC16A6 58.22005835 0.000188778 Up 244.5447 0.000546686 Up
FAM65C 19.69493511 2.3287E-08 Up 213.9348 3.43255E-05 Up
WDR86 29.35821269 2.03996E-05 Up 190.5289 6.26129E-05 Up
GJB2 33.73311298 2.37009E-05 Up 170.4077 0.000560036 Up
CXCR4 36.63486255 0.000412617 Up 156.6291 0.000381246 Up
MMP13 18.1969967 0.001865303 Up 119.5122 1.05064E-07 Up
BMP2 20.03644612 0.000193438 Up 117.9299 2.56801E-05 Up
C2CD4A 14.64162866 0.0061597 Up 85.52482 0.000625896 Up
CLEC2B 13.20455766 0.000159395 Up 78.42479 0.002468774 Up
TNFSF10 29.04491724 0.001267072 Up 57.67481 0.000386508 Up
PRSS35 11.75846586 0.000587899 Up 56.35998 0.000564307 Up
MEGF10 21.16086411 0.002528035 Up 55.27018 5.18695E-05 Up
DUSP4 13.21396805 9.34513E-05 Up 54.87385 0.001212616 Up
TSPAN11 27.83430153 0.000297067 Up 53.68215 9.89532E-07 Up
DRAXIN 13.45155294 0.000251701 Up 51.35024 0.000127201 Up
PDK4 96.98929796 5.63176E-05 Up 46.77971 2.99919E-05 Up
ANKH 10.78789239 0.004008663 Up 46.26112 2.57026E-05 Up
RGS16 39.28019753 0.000545809 Up 45.46778 7.36326E-07 Up
RANBP3L 9.229649839 5.07326E-06 Up 38.70846 7.23795E-05 Up
ITGA2 21.59037248 5.13189E-05 Up 38.41117 0.000872801 Up
ADGRE2 9.283517607 0.008575709 Up 34.87146 6.97014E-06 Up
MMP11 16.87338081 0.00285751 Up 34.62489 0.001476287 Up
KLRK1 11.95483946 0.000405053 Up 34.56032 0.002009842 Up
BEGAIN 33.51924802 6.25637E-07 Up 30.53104 0.000704421 Up
PPL 9.869982413 0.009031407 Up 25.65778 0.000467585 Up
ABCG1 30.41288703 0.000525295 Up 24.69536 4.16571E-07 Up
CITED1 18.69977736 0.000106336 Up 24.55424 0.000276694 Up
SYTL5 36.85560246 0.000548581 Up 23.16011 0.001025661 Up
RGS17 12.57031107 0.000155551 Up 22.45184 0.000241119 Up
KIAA1211L 16.30985794 1.57458E-05 Up 22.31267 3.31962E-05 Up
GLDN 38.48393676 0.000844764 Up 21.32752 0.000790957 Up
EXPH5 15.81689248 0.001356464 Up 20.98551 0.001995397 Up
PTGDR 14.69735545 0.002868926 Up 18.19271 0.000615557 Up
CCR1 19.99097768 7.95976E-05 Up 16.40048 0.002030008 Up
RASSF10 32.93415505 0.002178622 Up 16.05662 0.000741795 Up
FAM189A1 11.84572522 0.005621653 Up 15.56768 1.4842E-06 Up
COLEC12 23.05965011 0.000724925 Up 15.25867 0.00408674 Up
KLRC1 10.05484612 0.002881202 Up 15.20619 0.000154447 Up
VEGFA 9.752636526 4.13371E-06 Up 14.73218 0.000346357 Up
XKRX 16.61076595 0.000501039 Up 14.38702 0.000172706 Up
RASGRP3 2.106425558 0.028207257 Up 13.9441 7.03918E-05 Up
ENTPD3 9.912879304 0.001624712 Up 13.76377 0.000782473 Up
YPEL4 53.61892782 3.5446E-05 Up 13.63856 0.002333755 Up
SLC7A8 11.49043722 0.011671519 Up 13.22151 0.002134691 Up
CH25H 30.44303155 0.001762942 Up 12.42755 0.004566846 Up
CYFIP2 2.709902602 0.007297695 Up 10.76685 8.22518E-05 Up
C3AR1 8.089947094 0.000411377 Up 9.559041 0.000110391 Up
F2RL1 8.771762767 0.000415707 Up 9.21932 0.000385279 Up
CPA4 0.060443451 0.004894715 Down 0.005735 3.23423E-05 Down
CNN1 0.071987351 0.002896126 Down 0.005827 0.001199281 Down
MEST 0.041677656 0.002021602 Down 0.006979 1.73885E-05 Down
KRT34 0.011913749 0.00081183 Down 0.007354 5.15434E-05 Down
DKK1 0.004639044 0.000883335 Down 0.010773 4.20121E-05 Down
LMCD1 0.029802085 2.33205E-05 Down 0.012196 0.0006374 Down
KRTAP2-3 0.011067704 0.000539452 Down 0.015092 0.000257229 Down
FAM46B 0.033933237 4.34704E-06 Down 0.0174 0.00090771 Down
MYBL1 0.029145858 1.44931E-05 Down 0.017623 0.001442927 Down
NEIL3 0.017315518 0.000108138 Down 0.01963 0.00027453 Down
KRTAP1-5 0.029877632 0.001686929 Down 0.019696 0.000129879 Down
SPC25 0.044301408 0.001309748 Down 0.027418 0.001322887 Down
THBS1 0.055229076 0.000388028 Down 0.028426 0.002471628 Down
PTX3 0.010465082 0.001271904 Down 0.028936 3.57597E-05 Down
TSPAN18 0.053314954 0.000181383 Down 0.029322 0.007596185 Down
KRTAP2-2 0.048512804 1.88464E-05 Down 0.029763 0.00057951 Down
MGAM 0.034235468 0.00061814 Down 0.030484 0.001303756 Down
ANLN 0.05142361 0.001527223 Down 0.031571 0.001433314 Down
KIRREL3 0.057630141 0.002929558 Down 0.03209 0.000359608 Down
E2F8 0.018025232 1.75885E-05 Down 0.032301 0.000149989 Down
CEP55 0.0606109 0.000871839 Down 0.033875 0.000278821 Down
CTGF 0.048584673 0.000553306 Down 0.034772 0.000177803 Down
SKA1 0.04626685 1.04503E-05 Down 0.034872 0.000282226 Down
KRTAP1-1 0.029512423 2.68546E-06 Down 0.036294 0.001195564 Down
KRTAP1-4 0.034637793 8.67165E-05 Down 0.032924 0.000393189 Down
SHCBP1 0.074874368 0.007927709 Down 0.037302 4.80244E-05 Down
CDC45 0.048785792 0.001757321 Down 0.038191 0.002567892 Down
MKI67 0.061895471 0.001531656 Down 0.039185 0.006627038 Down
ERCC6L 0.031855904 1.35451E-06 Down 0.040946 0.001070963 Down
TNFRSF11B 0.035805553 0.004205691 Down 0.041701 0.000357158 Down
ZNF367 0.048382669 0.003338013 Down 0.042294 8.8958E-05 Down
DMD 0.038750757 1.1526E-05 Down 0.042472 0.001858382 Down
CDCA8 0.038925122 0.000236484 Down 0.043372 0.000204384 Down
PADI1 0.041441366 0.000851724 Down 0.044515 7.47813E-06 Down
HIST2H3C 0.045817546 0.00054878 Down 0.045124 0.000144333 Down
TTK 0.061307423 7.72508E-05 Down 0.045391 0.000936671 Down
GABBR2 0.045546263 0.001708625 Down 0.045807 9.62305E-05 Down
FAM111B 0.027357567 4.93311E-06 Down 0.046582 0.000558007 Down
CCIN 0.051329319 0.003246805 Down 0.048819 5.93123E-05 Down
KIF15 0.066141532 0.000117669 Down 0.04886 0.001136135 Down
NCKAP5 0.066816867 0.000303257 Down 0.049423 0.001324705 Down
NTF3 0.042448723 0.001215131 Down 0.050437 0.005324032 Down
UBE2C 0.065284894 4.29692E-06 Down 0.052099 0.002768879 Down
KRT33B 0.064358986 0.00039797 Down 0.052188 0.000124335 Down
MCM10 0.046540673 0.000257847 Down 0.054035 0.003217037 Down
LMOD1 0.054276425 1.14094E-06 Down 0.055313 0.000663673 Down
LTF 0.068482765 1.6193E-05 Down 0.057596 0.000575741 Down
HIST1H3G 0.035683104 0.000992525 Down 0.058962 0.000146762 Down
CCDC85A 0.066799698 9.312090059 Down 0.059079 0.009067666 Down
NCAPG 0.073153137 6.164797229 Down 0.060212 0.037036192 Down

Decreased levels of VEGFA produced by VEGFA knockdown nonAC-hMSCs inhibit the angiogenesis of HUVECs

A lentivirus-based system was used to assess whether the expression of VEGFA in hMSCs plays an important role in HUVEC angiogenesis. VEGFA was stably overexpressed in AC-hMSCs (AC-VEGFA-hMSCs) and depleted in nonAC-hMSCs (nonAC-shVEGFA-hMSCs) (Fig. 2a, b; Additional file 4: Figure S2B). ELISA analysis revealed that forced expression of VEGFA induced VEGFA production, whereas knockdown of VEGFA led to the converse (Fig. 2c). We performed a tube formation assay to detect angiogenesis of HUVECs and found that HUVECs cultured in CM from AC-VEGFA-hMSCs and nonAC-hMSCs formed well-developed networks of capillary-like tubes. In contrast, HUVECs cultured in CM from nonAC-shVEGFA-hMSCs and AC-hMSCs displayed very few capillary-like structures (Fig. 2d). Collectively, these data suggest that silencing and therefore limiting secretion of VEGFA in nonAC-hMSCs hindered tube formation of HUVECs, whereas excess VEGFA secretion in AC-hMSCs promoted HUVEC tube formation.

Fig. 2.

Fig. 2

Decreased levels of VEGFA produced by VEGFA knockdown nonAC-hMSCs inhibits the angiogenesis of HUVECs. AC-hMSCs were infected with VEGFA or negative control (NC) lentiviruses and nonAC-hMSCs were infected with shVEGFA or the control lentiviruses. a RT-qPCR and b western blotting were performed to detect mRNA and protein levels of VEGFA, respectively. c ELISA analysis was performed to determine the levels of secreted VEGF. d Capillary-like structure formation of HUVECs cultured in CM from hMSCs with different genotypes was evaluated by tube formation assay. Data are represented as mean ± SD (n = 3 per group). P < 0.05 compared to AC-hMSC-Ctrl or nonAC-hMSC-NC group. P < 0.05 compared to AC-hMSC-Ctrl group

VEGFA production by VEGFA-overexpressing AC-hMSCs increases angiogenesis and reduces infarction size after MI

To explore the functional significance of VEGFA in MSC-mediated angiogenesis in a rat MI model, we transplanted AC-VEGFA-hMSCs, nonAC-shVEGFA-hMSCs, or their corresponding control cells into the ischemic LV wall border zone and analyzed VEGFA expression and secretion after cell transplantation. Compared to the corresponding control groups, AC-VEGFA-hMSC-transplanted group and nonAC-hMSC-transplanted group had significantly higher levels of VEGFA expression and secretion, whereas nonAC-shVEGFA-hMSC-transplanted group and AC-hMSC-transplanted group exhibited significantly lower levels of VEGFA expression and secretion (Fig. 3a–c; Additional file 4: Figure S2C). Furthermore, we evaluated angiogenesis in the infarcted heart after hMSC transplantation using immunohistochemistry and found that the number of vWF-positive vessels significantly increased in AC-VEGFA-hMSC- and nonAC-hMSC-treated groups, while they were markedly decreased in nonAC-shVEGFA-hMSC- and AC-hMSC-treated groups (Fig. 3d). Additionally, we used Masson’s trichrome staining to detect the extent of fibrosis after hMSC transplantation. The results showed that the infarct size was significantly smaller in the AC-VEGFA-hMSC-injected hearts and nonAC-hMSC-injected hearts than in the control AC-hMSC-injected hearts, whereas it was significantly larger in the nonAC-shVEGFA-hMSC-injected hearts and AC-hMSC-injected hearts than in the control nonAC-hMSC-injected hearts (Fig. 3e). Therefore, our data demonstrate that implantation of AC-VEGFA-hMSCs promotes angiogenesis and decreases infarction size by stimulating VEGFA production in the rat MI model.

Fig. 3.

Fig. 3

VEGFA production by VEGFA-overexpressing AC-hMSCs increases angiogenesis and reduces infarction size after MI. a RT-qPCR, b western blotting, and c ELISA were used to assess VEGFA expression and secretion in the heart tissues obtained from LADCA-ligated rats 48 h after transplantation with AC-VEGFA-hMSCs, nonAC-sh-VEGFA-hMSCs, or their corresponding control hMSCs. d Immunohistochemistry analysis for vWF expression in the heart tissues obtained from LADCA-ligated rats 28 days after transplantation with AC-VEGFA-hMSCs, nonAC-sh-VEGFA-h MSCs, or their corresponding control hMSCs. Red arrow indicates the small vessels. e Representative images and quantification of fibrosis area. Data are represented as mean ± SD (n = 8 per group). P < 0.05 compared to AC-hMSC-Ctrl or nonAC-hMSC-NC group. #P < 0.05 compared to MI group. P < 0.05 compared to AC-hMSC-Ctrl group

VEGFA secretion by VEGFA-overexpressing AC-hMSCs improves cardiac functions in a rat MI model

Echocardiography was performed 4 weeks after hMSC implantation in a rat MI model to assess the therapeutic effects of MSCs on cardiac function (Fig. 4a). LVEDD and LVESD were significantly lower in the AC-VEGFA-hMSC and nonAC-hMSC groups and significantly higher in the nonAC-shVEGFA-hMSC and AC-hMSC groups compared to the corresponding control groups (Fig. 4b, c). Furthermore, the AC-VEGFA-hMSC and nonAC-hMSC groups exhibited significantly increased LVEF and LVFS, whereas the nonAC-shVEGFA-hMSC and AC-hMSC groups displayed significantly decreased LVEF and LVFS (Fig. 4d, e). Collectively, these findings demonstrate that implantation of VEGFA-overexpressing AC-hMSCs could decrease myocardial remodeling.

Fig. 4.

Fig. 4

VEGFA secretion by VEGFA-overexpressing AC-hMSCs improves cardiac functions in a rat MI model. a Cardiac function was determined by echocardiography 28 days after MI induction and hMSC transplantation. b Quantification of LVEDD, c LVESD, d LVEF, and e LVFS. Data are represented as mean ± SD (n = 8 per group). P < 0.05 compared to AC-hMSC-Ctrl or nonAC-hMSC-NC group. #P < 0.05 compared to MI group. P < 0.05 compared to AC-hMSC-Ctrl group

VEGFA is a direct target of miR-519d

To elucidate the molecular mechanism of VEGFA in the regulation of angiogenesis, we first employed the online bioinformatics (TargetScan and microrna.org) to predict the potential microRNA (miRNA) binding sites in VEGFA. miR-519d was found to be a putative miRNA for the regulation of VEGFA (Fig. 5a). We then probed for miR-519d expression in AC-hMSCs and nonAC-hMSCs at two different time points using RT-qPCR and found that miR-519d expression was significantly lower in nonAC-hMSCs compared to AC-hMSCs (Fig. 5b). As shown in Fig. 1c, d, the expression of VEGFA was significantly higher in nonAC-hMSCs than in AC-hMSCs. This negative correlation between VEGFA and miR-519d expression indicates that miR-519d may be involved in the regulation of VEGFA.

Fig. 5.

Fig. 5

VEGFA is a direct target of miR-519d. a The predicted binding site between VEGFA and miR-519d. b RT-qPCR analysis of miR-519d expression in AC-hMSCs and nonAC-hMSCs at 24 h and 72 h. c Luciferase activity in HEK293T cells co-transfected with miR-519d or control mimics and VEGFA-3′ UTR-WT or VEGFA-3′ UTR-Mut plasmids. d–f VEGFA expression and secretion in nonAC-hMSCs transfected with miR-519d or control mimics, and AC-hMSCs transfected with miR-519d or control inhibitors. Data are represented as mean ± SD (n = 3 per group). P < 0.05 compared to miR-Ctrl or anti-miR-Ctrl group. P < 0.05 compared to miR-Ctrl group

To validate a direct interaction between VEGFA and miR-519d, a luciferase reporter plasmid containing wild-type or mutant VEGFA 3′ UTR was constructed and transfected into HEK293T cells, along with miR-519d or control mimics. Results showed that miR-519d led to a significant reduction in the luciferase activity produced by the construct containing the VEGFA putative miR-519d binding site, whereas miR-519d had no significant effect on the construct containing the mutant VEGFA 3′ UTR (Fig. 5c). Furthermore, RT-qPCR, western blot, and ELISA showed that overexpression of miR-519d in nonAC-hMSCs significantly decreased the expression and secretion of VEGFA, and knockdown of miR-519d in AC-hMSCs enhanced VEGFA expression and secretion (Fig. 5d–f; Additional file 4: Figure S2D). Taken together, these results indicate that miR-519d exerts suppressive effects on VEGFA expression by binding the VEGFA 3′ UTR.

The secretion of VEGFA in VEGFA-overexpressing nonAC-hMSCs attenuates miR-519d-mediated inhibition of tube formation of HUVECs

We performed a rescue experiment to determine whether miR-519d regulates cell angiogenesis via targeting VEGFA. nonAC-hMSCs were co-transfected with miR-519d mimics and VEGFA plasmids for 24 h. RT-qPCR and western blot analyses indicated that ectopic expression of VEGFA attenuated miR-519d-mediated suppression of VEGFA expression (Fig. 6a, b; Additional file 4: Figure S2E) and secretion (Fig. 6c). Furthermore, while miR-519d-overexpressing decreased tube formation of HUVECs, the addition of VEGFA derived from VEGFA-overexpressing nonAC-hMSCs reversed this effect (Fig. 6d). Collectively, these data suggest that miR-519d exerts its biological effects by directly targeting VEGFA.

Fig. 6.

Fig. 6

The secretion of VEGFA in VEGFA-overexpressing nonAC-hMSCs attenuates miR-519d-mediated inhibition of tube formation of HUVECs. a The expression and secretion of VEGFA in the nonAC-hMSCs co-transfected with miR-519d mimics and VEGFA plasmid were measured using RT-qPCR, b western blotting, and c ELISA, respectively. d Tube formation assay was performed to detect the capillary-like tubules formation of HUVECs cultured in the presence of hMSC-conditioned medium. Data are represented as mean ± SD (n = 3 per group). P < 0.05 compared to miR-Ctrl group. #P < 0.05 compared to miR-519d group

Discussion

A growing body of evidence suggests that the beneficial therapeutic effects of MSCs are the result of paracrine mechanisms [26, 27]. Various growth factors, cytokines, and angiogenic factors released from MSCs play critical roles in improving the function of infracted hearts [28, 29]. VEGFA belongs to the VEGF family and is a well-known pro-angiogenic factor. VEGFA has been reported to stimulate endothelial cell proliferation, migration, and tube formation, thereby promoting angiogenesis [30]. Recent studies indicated that VEGFA released from different types of stem cells, including MSCs, have the ability to treat various human diseases, such as myocardial ischemia, by regulation of angiogenesis [3133]. Markel et al. [31] reported that VEGFA knockdown in MSCs impaired stem cell-mediated myocardial function. Cho et al. [32] reported that VEGFA-secreting human umbilical cord blood-derived MSCs decreased infarct size and improved cardiac function via enhancing angiogenesis in infarct myocardium. Kim et al. [23] also reported that the transplantation of hypoxia inducible VEGFA-expressing MSCs promoted ischemia-responsive VEGFA production, resulting in a significant decrease in apoptosis and a significant increase in micro-vessel formation after MI. In our study, VEGFA was upregulated in nonAC-hMSCs (Fig. 1). The high levels of VEGFA secreted by AC-VEGFA-hMSCs facilitated HUVEC angiogenesis, while the low expression levels of VEGFA produced by nonAC-shVEGFA-hMSCs suppressed this process (Fig. 2). In a rat MI model, administration of AC-VEGFA-hMSCs significantly increased VEGFA production, leading to improvement in myocardial function, enhancement in vessel density, and reduction in infarct size, whereas reversed results were observed in nonAC-shVEGFA-hMSC-transplanted hearts (Figs. 3 and 4). Recently, it has been reported that VEGFA secretion protects cardiomyocytes against ischemia [33]. Additionally, VEGF is known to modulate macrophage recruitment and macrophage phenotype by promoting M1 ≥ M2 transpolarization [34, 35]. In skin cancer, VEGFA promotes macrophage recruitment to the tumor and thereby facilitates tumor-associated macrophage development [34]. In chronic kidney disease, ELP-VEGF therapy distinctly shifted renal macrophage phenotype from proinflammatory M1 to VEGF expressing M2, restoring VEGF signaling and sustaining improvement of renal function and microvascular integrity [35]. However, whether VEGFA improves cardiac function by affecting cardiomyocytes or regulating macrophage recruitment and macrophage phenotype needs further investigation.

A number of studies have indicated that VEGFA can be directly regulated by miRNAs [36, 37]. miR-299-3p inhibited cell proliferation and motility and induced apoptosis in renal cell carcinoma by directly targeting VEGFA [36]. miR-199a-5p impaired both the survival and angiogenic capacity of MSCs by directly regulating VEGFA expression [37]. In our study, miR-519d directly affected VEGFA expression (Fig. 5). miR-519d is one member of the chromosome 19 miRNA cluster, which is the largest human miRNA cluster containing 46 pre-miRNAs [38]. There is growing evidence showing that miR-519d is involved in a range of biological processes, including cell proliferation, apoptosis, differentiation, migration, and angiogenesis [3942]. miR-519d overexpression facilitated the proliferation, migration, invasion, and adhesion of melanoma cells in vitro and accelerated lung metastatic capability in vivo [39]. Expression of miR-519d promoted hepatocellular carcinoma cell proliferation and invasion and inhibited apoptosis [40]. On the other hand, overexpression of miR-519d impaired colorectal cancer cell viability, migration, and invasion and induced G0/G1 phase arrest and apoptosis by downregulating TROAP expression [41]. Additionally, miR-519d expression attenuated endothelial cell growth, migration, and tube formation [42]. In this study, increased VEGFA production in nonAC-hMSCs reversed the suppressive effect of miR-519d on HUVEC tube formation (Fig. 6).

How does the nonadherent culture method regulate the expression of miR-519d? Our previous research showed that the nonadherent culture method decreased Sca-1 expression [14]. Our microarray analysis also demonstrated that the nonadherent culture method upregulated CXCR4 expression. Based on these data, we hypothesized that the nonadherent culture method might regulate the expression of miR-519d by regulating the adhesion molecules of MSCs. Further investigation is needed to verify this hypothesis.

Conclusions

In summary, we determined that the nonadherent culture of MSCs increased the secretion of VEGFA, directly opposing the effects of miR-519d (Additional file 5: Figure S3). VEGFA promoted the tube formation capabilities of HUVECs in vitro, decreased myocardial remodeling and infarct size, and increased angiogenesis in a rat MI model. These findings provide a novel experimental protocol to optimize MSC-based therapies for the treatment of MI.

Supplementary information

13287_2020_1780_MOESM1_ESM.tif (229.2KB, tif)

Additional file 1 : Figure S1. Characterization of isolated hMSCs. Flow cytometry showing the percentage of CD73, CD90, CD105, CD11b, CD14, CD34 and CD45 hMSCs.

13287_2020_1780_MOESM2_ESM.xlsx (246.4KB, xlsx)

Additional file 2 : Table S1. Differential expression of genes in AC-hMSCs and nonAC-hMSCs at 24 h.

13287_2020_1780_MOESM3_ESM.xlsx (278.3KB, xlsx)

Additional file 3 : Table S2. Differential expression of genes in AC-hMSCs and nonAC-hMSCs at 72 h.

13287_2020_1780_MOESM4_ESM.tif (262.2KB, tif)

Additional file 4 : Figure S2. Relative VEGFA protein expression in the different groups. Data are represented as mean ± SD (n = 3 per group). P < 0.05 compared to AC-hMSCs, AC-hMSCs-Ctrl, nonAC-hMSCs-NC, miR-Ctrl or anti-miR-Ctrl group. #P < 0.05 compared to miR-519d group. P < 0.05 compared to AC-hMSCs-Ctrl or miR-Ctrl group.

13287_2020_1780_MOESM5_ESM.tif (935.6KB, tif)

Additional file 5 : Figure S3. The schematic diagram shows how VEGFA expression is regulated by miR-519d-3p after changes of adhesion.

Acknowledgements

The authors thank the volunteers who donated the bone marrow for this study.

Abbreviations

MSCs

Mesenchymal stem cells

MI

Myocardial infarction

hMSCs

Human MSCs

AC-hMSCs

hMSCs grown as adherent cultures

nonAC-hMSCs

hMSCs grown as nonadherent cultures on ultra-low-adherent plates

AC-VEGFA-hMSCs

VEGFA-overexpressing AC-MSCs

nonAC-shVEGFA-hMSCs

VEGFA-knockdown nonAC-hMSCs

RT-qPCR

Real-time quantitative polymerase chain reaction

ELISA

Enzyme-linked immunosorbent assays

HUVECs

Human umbilical vein endothelial cells

Sca-1

Stem cell antigen 1

LADCA

Left anterior descending coronary artery

LV

Left ventricle

LVEDD

LV end-diastolic dimensions

LVESD

LV end-systolic dimensions

Authors’ contributions

BD collected the samples, performed the experiments, and drafted the manuscript. YL analyzed the data and prepared figure WD designed the research and revised the manuscript. HJ participated in the experiments. WH and YW participated in the study design. The authors read and approved the final version of manuscript.

Funding

This work was supported by the Science and Technology Planning Project of Guangdong Province (No. 2016B1030) and the Guang Dong Medical Research Foundation (No. A2016430).

Availability of data and materials

All data generated and/or analyzed during the current study are included in this manuscript.

Ethics approval and consent to participate

All experiments were approved by the Ethics Committee of the Affiliated Hospital of Guilin Medical University, and informed consent was obtained from all participants.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s13287-020-01780-x.

References

  • 1.Zhao J, Li X, Hu J, Chen F, Qiao S, Sun X, et al. Mesenchymal stromal cell-derived exosomes attenuate myocardial ischaemia-reperfusion injury through miR-182-regulated macrophage polarization. Cardiovasc Res. 2019;115(7):1205–1216. doi: 10.1093/cvr/cvz040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Huang F, Zhu X, Hu XQ, Fang ZF, Tang L, Lu XL, et al. Mesenchymal stem cells modified with miR-126 release angiogenic factors and activate Notch ligand Delta-like-4, enhancing ischemic angiogenesis and cell survival. Int J Mol Med. 2013;31(2):484–492. doi: 10.3892/ijmm.2012.1200. [DOI] [PubMed] [Google Scholar]
  • 3.Wang N, Chen C, Yang D, Liao Q, Luo H, Wang X, et al. Mesenchymal stem cells-derived extracellular vesicles, via miR-210, improve infarcted cardiac function by promotion of angiogenesis. Biochim Biophys Acta Mol basis Dis. 2017;1863:2085–2092. doi: 10.1016/j.bbadis.2017.02.023. [DOI] [PubMed] [Google Scholar]
  • 4.Huang P, Wang L, Li Q, Tian X, Xu J, Xu J, et al. Atorvastatin enhances the therapeutic efficacy of mesenchymal stem cells derived exosomes in acute myocardial infarction via up-regulating long non-coding RNA H19. Cardiovasc Res. 2020;116(2):353-67. . [DOI] [PMC free article] [PubMed]
  • 5.Han Y, Li X, Zhang Y, Han Y, Chang F, Ding J. Mesenchymal stem cells for regenerative medicine. Cells. 2019;8(8):886. . [DOI] [PMC free article] [PubMed]
  • 6.Ji ST, Kim H, Yun J, Chung JS, Kwon SM. Promising therapeutic strategies for mesenchymal stem cell-based cardiovascular regeneration: from cell priming to tissue engineering. Stem Cells Int. 2017;2017:3945403. doi: 10.1155/2017/3945403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Huang F, Li ML, Fang ZF, Hu XQ, Liu QM, Liu ZJ, et al. Overexpression of MicroRNA-1 improves the efficacy of mesenchymal stem cell transplantation after myocardial infarction. Cardiology. 2013;125(1):18–30. doi: 10.1159/000347081. [DOI] [PubMed] [Google Scholar]
  • 8.Dou L, Wu Y, Yan Q, Wang J, Zhang Y, Ji P. Secretome profiles of immortalized dental follicle cells using iTRAQ-based proteomic analysis. Sci Rep. 2017;7(1):7300. doi: 10.1038/s41598-017-07467-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Rombouts WJ, Ploemacher RE. Ploemacher, primary murine MSC show highly efficient homing to the bone marrow but lose homing ability following culture. Leukemia. 2003;17(1):160–170. doi: 10.1038/sj.leu.2402763. [DOI] [PubMed] [Google Scholar]
  • 10.Halfon S, Abramov N, Grinblat B, Ginis I. Ginis, markers distinguishing mesenchymal stem cells from fibroblasts are downregulated with passaging. Stem Cells Dev. 2011;20(1):53–66. doi: 10.1089/scd.2010.0040. [DOI] [PubMed] [Google Scholar]
  • 11.Barbash IM, Chouraqui P, Baron J, Feinberg MS, Etzion S, Tessone A, et al. Systemic delivery of bone marrow-derived mesenchymal stem cells to the infarcted myocardium: feasibility, cell migration, and body distribution. Circulation. 2003;108(7):863–868. doi: 10.1161/01.CIR.0000084828.50310.6A. [DOI] [PubMed] [Google Scholar]
  • 12.Karp JM, Leng Teo GS. Mesenchymal stem cell homing: the devil is in the details. Cell Stem Cell. 2009;4(3):206–216. doi: 10.1016/j.stem.2009.02.001. [DOI] [PubMed] [Google Scholar]
  • 13.Qian H, Le Blanc K, Sigvardsson M. Primary mesenchymal stem and progenitor cells from bone marrow lack expression of CD44 protein. J Biol Chem. 2012;287(31):25795–25807. doi: 10.1074/jbc.M112.339622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Deng B, Deng W, Xiao P, Zeng K, Zhang S, Zhang H, et al. Nonadherent culture method downregulates stem cell antigen-1 expression in mouse bone marrow mesenchymal stem cells. Exp Ther Med. 2015;10(1):31–36. doi: 10.3892/etm.2015.2457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Li SH, Sun L, Yang L, Li J, Shao Z, Du GQ, et al. Young bone-marrow Sca-1+ stem cells rejuvenate the aged heart and improve function after injury through PDGFRβ-Akt pathway. Sci Rep. 2017;7:41756. doi: 10.1038/srep41756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Deng B, Jiang H, Zeng K, Liang Y, Wu Y, Yang Y. Removal from adherent culture contributes to apoptosis in human bone marrow mesenchymal stem cells. Mol Med Rep. 2017;15(6):3499–3506. doi: 10.3892/mmr.2017.6440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Moon HH, Joo MK, Mok H, Lee M, Hwang KC, Kim SW, et al. MSC-based VEGF gene therapy in rat myocardial infarction model using facial amphipathic bile acid-conjugated polyethyleneimine. Biomaterials. 2014;35(5):1744–1754. doi: 10.1016/j.biomaterials.2013.11.019. [DOI] [PubMed] [Google Scholar]
  • 18.Sun L, Cui M, Wang Z, Feng X, Mao J, Chen P, et al. Mesenchymal stem cells modified with angiopoietin-1 improve remodeling in a rat model of acute myocardial infarction. Biochem Biophys Res Commun. 2007;357(3):779–784. doi: 10.1016/j.bbrc.2007.04.010. [DOI] [PubMed] [Google Scholar]
  • 19.Lapeyre-Prost A, Terme M, Pernot S, Pointet AL, Voron T, Tartour E, et al. Immunomodulatory activity of VEGF in Cancer. Int Rev Cell Mol Biol. 2017;330:295–342. doi: 10.1016/bs.ircmb.2016.09.007. [DOI] [PubMed] [Google Scholar]
  • 20.Zou J, Fei Q, Xiao H, Wang H, Liu K, Liu M, et al. VEGF-A promotes angiogenesis after acute myocardial infarction through increasing ROS production and enhancing ER stress-mediated autophagy. J Cell Physiol. 2019;234(10):17690–17703. doi: 10.1002/jcp.28395. [DOI] [PubMed] [Google Scholar]
  • 21.Law PK, Haider K, Fang G, Jiang S, Chua F, Lim YT, et al. Human VEGF165-myoblasts produce concomitant angiogenesis/myogenesis in the regenerative heart. Mol Cell Biochem. 2004;263(1–2):173–178. [PubMed] [Google Scholar]
  • 22.Pons J, Huang Y, Arakawa-Hoyt J, Washko D, Takagawa J, et al. VEGF improves survival of mesenchymal stem cells in infarcted hearts. Biochem Biophys Res Commun. 2008;376(2):419–422. doi: 10.1016/j.bbrc.2008.09.003. [DOI] [PubMed] [Google Scholar]
  • 23.Kim SH, Moon HH, Kim HA, Hwang KC, Lee M, Choi D. Hypoxia-inducible vascular endothelial growth factor-engineered mesenchymal stem cells prevent myocardial ischemic injury. Mol Ther. 2011;19(4):741–750. doi: 10.1038/mt.2010.301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhou K, Zhang C, Yao H, Zhang X, Zhou Y, Che Y, et al. Knockdown of long non-coding RNA NEAT1 inhibits glioma cell migration and invasion via modulation of SOX2 targeted by miR-132. Mol Cancer. 2018;17(1):105. doi: 10.1186/s12943-018-0849-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Qiu H, Wu H, Ma J, Cao H, Huang L, Qiu W, et al. DL-3-n-Butylphthalide reduces atrial fibrillation susceptibility by inhibiting atrial structural remodeling in rats with heart failure. Naunyn Schmiedeberg's Arch Pharmacol. 2018;391(3):323–334. doi: 10.1007/s00210-017-1457-1. [DOI] [PubMed] [Google Scholar]
  • 26.Hou Y, Ryu CH, Jun JA, Kim SM, Jeong CH, Jeun SS. IL-8 enhances the angiogenic potential of human bone marrow mesenchymal stem cells by increasing vascular endothelial growth factor. Cell Biol Int. 2014;38(9):1050–1059. doi: 10.1002/cbin.10294. [DOI] [PubMed] [Google Scholar]
  • 27.Song YS, Joo HW, Park IH, Shen GY, Lee Y, Shin JH, et al. Bone marrow mesenchymal stem cell-derived vascular endothelial growth factor attenuates cardiac apoptosis via regulation of cardiac miRNA-23a and miRNA-92a in a rat model of myocardial infarction. PLoS One. 2017;12(6):e0179972. doi: 10.1371/journal.pone.0179972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Tang Y, Gan X, Cheheltani R, Curran E, Lamberti G, Krynska B, et al. Targeted delivery of vascular endothelial growth factor improves stem cell therapy in a rat myocardial infarction model. Nanomedicine. 2014;10(8):1711–1718. doi: 10.1016/j.nano.2014.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kang K, Ma R, Cai W, Huang W, Paul C, Liang J, et al. Exosomes secreted from CXCR4 overexpressing mesenchymal stem cells promote cardioprotection via Akt signaling pathway following myocardial infarction. Stem Cells Int. 2015;2015:659890. doi: 10.1155/2015/659890. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ferrara N, Gerber HP, LeCouter J. The biology of VEGF and its receptors. Nat Med. 2003;9(6):669–676. doi: 10.1038/nm0603-669. [DOI] [PubMed] [Google Scholar]
  • 31.Markel TA, Wang Y, Herrmann JL, Crisostomo PR, Wang M, Novotny NM, et al. VEGF is critical for stem cell-mediated cardioprotection and a crucial paracrine factor for defining the age threshold in adult and neonatal stem cell function. Am J Physiol Heart Circ Physiol. 2008;295(6):H2308–H2314. doi: 10.1152/ajpheart.00565.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Cho HM, Kim PH, Chang HK, Shen YM, Bonsra K, Kang BJ, et al. Targeted genome engineering to control VEGF expression in human umbilical cord blood-derived Mesenchymal stem cells: potential implications for the treatment of myocardial infarction. Stem Cells Transl Med. 2017;6(3):1040–1051. doi: 10.1002/sctm.16-0114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Dai Y, Xu M, Wang Y, Pasha Z, Li T, Ashraf M. HIF-1alpha induced-VEGF overexpression in bone marrow stem cells protects cardiomyocytes against ischemia. J Mol Cell Cardiol. 2007;42(6):1036–1044. doi: 10.1016/j.yjmcc.2007.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Linde N, Lederle W, Depner S, van Rooijen N, Gutschalk CM, Mueller MM. Vascular endothelial growth factor-induced skin carcinogenesis depends on recruitment and alternative activation of macrophages. J Pathol. 2012;227(1):17–28. doi: 10.1002/path.3989. [DOI] [PubMed] [Google Scholar]
  • 35.Engel JE, Williams E, Williams ML, Bidwell GL, Chade AR. Targeted VEGF (vascular endothelial growth factor) therapy induces long-term renal recovery in chronic kidney disease via macrophage polarization. Hypertension. 2019;74(5):1113–1123. doi: 10.1161/HYPERTENSIONAHA.119.13469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Li Y, Zheng D, Pan L, Dai Y, Cai S, Zhao L, et al. Knockdown of TUG1 by shRNA inhibited renal cell carcinoma formation by miR-299-3p/VEGF axis in vitro and in vivo. Eur J Pharmacol. 2019;860:172536. doi: 10.1016/j.ejphar.2019.172536. [DOI] [PubMed] [Google Scholar]
  • 37.Hou J, Wang L, Wu Q, Zheng G, Long H, Wu H, et al. Long noncoding RNA H19 upregulates vascular endothelial growth factor A to enhance mesenchymal stem cells survival and angiogenic capacity by inhibiting miR-199a-5p. Stem Cell Res Ther. 2018;9(1):109. doi: 10.1186/s13287-018-0861-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Bentwich I, Avniel A, Karov Y, Aharonov R, Gilad S, Barad O, et al. Identification of hundreds of conserved and nonconserved human microRNAs. Nat Genet. 2005;37(7):766–770. doi: 10.1038/ng1590. [DOI] [PubMed] [Google Scholar]
  • 39.Hua KT, Hong JB, Sheen YS, Huang HY, Huang YL, Chen JS, et al. miR-519d promotes melanoma progression by downregulating EphA4. Cancer Res. 2018;78(1):216–229. doi: 10.1158/0008-5472.CAN-17-1933. [DOI] [PubMed] [Google Scholar]
  • 40.Fornari F, Milazzo M, Chieco P, Negrini M, Marasco E, Capranico G, et al. In hepatocellular carcinoma miR-519d is up-regulated by p53 and DNA hypomethylation and targets CDKN1A/p21, PTEN, AKT3 and TIMP2. J Pathol. 2012;227(3):275–285. doi: 10.1002/path.3995. [DOI] [PubMed] [Google Scholar]
  • 41.Ye X, Lv H. MicroRNA-519d-3p inhibits cell proliferation and migration by targeting TROAP in colorectal cancer. Biomed Pharmacother. 2018;105:879–886. doi: 10.1016/j.biopha.2018.04.114. [DOI] [PubMed] [Google Scholar]
  • 42.Zhang SJ, Chen X, Li CP, Li XM, Liu C, Liu BH, et al. Identification and characterization of circular RNAs as a new class of putative biomarkers in diabetes retinopathy. Invest Ophthalmol Vis Sci. 2017;58(14):6500–6509. doi: 10.1167/iovs.17-22698. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

13287_2020_1780_MOESM1_ESM.tif (229.2KB, tif)

Additional file 1 : Figure S1. Characterization of isolated hMSCs. Flow cytometry showing the percentage of CD73, CD90, CD105, CD11b, CD14, CD34 and CD45 hMSCs.

13287_2020_1780_MOESM2_ESM.xlsx (246.4KB, xlsx)

Additional file 2 : Table S1. Differential expression of genes in AC-hMSCs and nonAC-hMSCs at 24 h.

13287_2020_1780_MOESM3_ESM.xlsx (278.3KB, xlsx)

Additional file 3 : Table S2. Differential expression of genes in AC-hMSCs and nonAC-hMSCs at 72 h.

13287_2020_1780_MOESM4_ESM.tif (262.2KB, tif)

Additional file 4 : Figure S2. Relative VEGFA protein expression in the different groups. Data are represented as mean ± SD (n = 3 per group). P < 0.05 compared to AC-hMSCs, AC-hMSCs-Ctrl, nonAC-hMSCs-NC, miR-Ctrl or anti-miR-Ctrl group. #P < 0.05 compared to miR-519d group. P < 0.05 compared to AC-hMSCs-Ctrl or miR-Ctrl group.

13287_2020_1780_MOESM5_ESM.tif (935.6KB, tif)

Additional file 5 : Figure S3. The schematic diagram shows how VEGFA expression is regulated by miR-519d-3p after changes of adhesion.

Data Availability Statement

All data generated and/or analyzed during the current study are included in this manuscript.


Articles from Stem Cell Research & Therapy are provided here courtesy of BMC

RESOURCES