| Literature DB >> 28265289 |
Iris Himal1, Umesh Goyal1, Malancha Ta1.
Abstract
The efficacy of mesenchymal stem cell (MSC) therapy is currently limited by low retention and poor survival of transplanted cells as demonstrated by clinical studies. This is mainly due to the harsh microenvironment created by oxygen and nutrient deprivation and inflammation at the injured sites. The choice of MSC source could be critical in determining fate and cellular function of MSCs under stress. Our objective here was to investigate the influence of ischemia-like stress on Wharton's jelly MSCs (WJ-MSCs) from human umbilical cord to assess their therapeutic relevance in ischemic diseases. We simulated conditions of ischemia in vitro by culturing WJ-MSCs in 2% oxygen in serum deprived and low glucose medium. Under these conditions, WJ-MSCs retained viable population of greater than 80%. They expressed the characteristic MSC surface antigens at levels comparable to the control WJ-MSCs and were negative for the expression of costimulatory molecules. An upregulation of many ECM and adhesion molecules and growth and angiogenic factors contributing to wound healing and regeneration was noted in the ischemic WJ-MSC population by a PCR array. Their migration ability, however, got impaired. Our findings provide evidence that WJ-MSCs might be therapeutically beneficial and potent in healing wounds under ischemic conditions.Entities:
Year: 2017 PMID: 28265289 PMCID: PMC5318642 DOI: 10.1155/2017/5259849
Source DB: PubMed Journal: Stem Cells Int Impact factor: 5.443
Figure 1Effect of simulated ischemic stress on morphology of WJ-MSCs. Morphology of WJ-MSCs maintained under control conditions (a) and ischemic stress conditions mimicked by exposing WJ-MSCs to hypoxia (2% O2), low glucose, and serum-free medium for 48 hours (b). Representative phase contrast images from three independent biological samples of WJ-MSC (n = 3) are presented. Comparison of total cell yield between control and ischemic WJ-MSCs. All cells were plated at a density of 5000 cells/cm2 and grown under control conditions for 72 hours. After 72 hours, control cultures were harvested while ischemic cultures were shifted to ischemia conditions for another 48 hours and then harvested (n = 3) (c). Comparison of population doubling time between control and ischemic WJ-MSCs (d). Results represent the average of three independent cultures with SEM (Student's t-test, two tailed).
Figure 2Detection of apoptosis by flow cytometry. Quantitation of live, early apoptotic, late apoptotic, and necrotic population of WJ-MSCs under control and ischemia-like stress conditions (a). Comparison of the percentages of live, apoptotic (early and late), and necrotic populations between control and ischemic WJ-MSC cultures as depicted by the histogram. Each bar represents mean ± standard error of the mean (n = 3) (b). Data shown are representative of at least three independent biological samples.
Figure 3Comparison of CD surface marker profile between control and ischemic WJ-MSCs by flow cytometry. WJ-MSCs, cultured under control and ischemic conditions, were labelled with the indicated antibodies and analyzed by flow cytometry. Open area represents antibody isotype control for background fluorescence while the shaded area represents positive reactivity with the indicated antibodies. Representative histograms are depicted. Results are representative of at least 3-4 independent biological samples.
Figure 4Comparison of scratch induced migration between control and ischemic WJ-MSCs. Representative images of migration at 2 and 21 hours after scratch are shown for control and ischemic WJ-MSCs (a). Average migration rate during the first 9 hrs in response to the scratch was calculated from three independent experiments (n = 3). Bars represent mean ± SEM (Student's t-test, two tailed, ∗∗ represents p < 0.01) (b).
Figure 5Effect of long-term ischemia-like stress on morphology and viability of WJ-MSCs. The time course of exposure to ischemic conditions was extended to 5-6 days. Morphology of WJ-MSCs after being maintained under long-term ischemia (a). Flow cytometry analysis of apoptotic WJ-MSCs stained with annexin-V-PI following exposure to long-term ischemia (b). Senescence, as detected by senescence-associated β-galactosidase activity, in both long-term ischemia and control cultures (c). Quantification of the percentage of SA-β-gal positive blue cells of long-term ischemia and control WJ-MSC (d). Results are representative of at least three independent biological samples.
Figure 6Changes in wound healing related gene expression as evidenced by PCR array. Scatterplot comparing wound healing related gene expression profile between control and ischemic WJ-MSCs. Genes with at least 2-fold differential expression are depicted (a). RT-PCR validation of a few randomly selected genes from the wound healing RT2 Profiler PCR Array. PCR was performed using complementary cDNA pooled from three different samples, each of ischemic and their corresponding control WJ-MSC cultures. GAPDH was used as an internal control. TSG6 and SDF1, which were not part of the array, are shown in the box (b).
(a) Primer sequences used for semiquantitative RT-PCR analysis
| S. number | Gene name | Forward primer | Reverse primer | Size (bp) |
|---|---|---|---|---|
| 1 | IGF-1 | 5′ TCTTGAAGGTGAAGATGCACACCA 3′ | 5′ AGCGAGCTGACTTGGCAGGCTTGA 3′ | 303 |
| 2 | COL14A1 | 5′ AAGCCCAGAGTCAAAGTTGTGGA 3′ | 5′ CCATGAACCATCGACCAGGA 3′ | 123 |
| 3 | MMP 2 | 5′ GGCCCTGTCACTCCTGAGAT 3′ | 5′ GGCATCCAGGTTATCGGGGA 3′ | 473 |
| 4 | ITGA1 | 5′ GGTTCCTACTTTGGCAGTATT 3′ | 5′ AACCTTGTCTGATTGAGAGCA 3′ | 149 |
| 5 | ITGA6 | 5′ TCCCTGAACCTAACGGAGTCT 3′ | 5′ ATGTCCAAGTAGTTCAGTTTG 3′ | 253 |
| 6 | SDF-1 | 5′ ATGAACGCCAAGGTCGTGGTC 3′ | 5′ CTTGTTTAAAGCTTTCTCCAGGTACT 3′ | 267 |
| 7 | WISP-1 | 5′ AGAGCCGCCTCTGCAACTT 3′ | 5′ GGAGAAGCCAAGCCCATCA 3′ | 245 |
| 8 | GAPDH | 5′ GAGTCAACGGATTTGGTCGT 3′ | 5′ TTGATTTTGGAGGGATCTCG 3′ | 248 |
| 9 | VTN | 5′ CGAGGAGAAAAACAATGCCAC 3′ | 5′ GAAGCCGTCAGAGATATTTCG 3′ | 498 |
| 10 | TSG 6 | 5′ CCCATTGTGAAGCCAGGGCCCAACTG 3′ | 5′ GGAAGCTCATCTCCACAGTATCTTCCC 3′ | 361 |
| 11 | HGF | 5′ TCACGAGCATGACATGACTCC 3′ | 5′ AGCTTACTTGCATCTGGTTCC 3′ | 302 |
(b) Human wound healing-related genes screened using the RT2 Profiler PCR Array
| ACTA2 | ACTC1 | ANGPT1 | CCL2 | CCL7 | CD40LG | CDH1 | COL14A1 | COL1A1 | COL1A2 | COL3A1 | COL4A1 |
| COL4A3 | COL5A1 | COL5A2 | COL5A3 | CSF2 | CSF3 | CTGF | CTNNB1 | CTSG | CTSK | CTSV | CXCL1 |
| CXCL11 | CXCL2 | CXCL5 | FGF | EGFR | F13A1 | F3 | FGA | FGF10 | FGF2 | FGF7 | HBEGF |
| HGF | IFN-G | IGF1 | IL10 | IL1B | IL2 | IL4 | IL6 | IL6ST | ITGA1 | ITGA2 | ITGA3 |
| ITGA-4 | ITGA-5 | ITGA-6 | ITGAV | ITGB1 | ITGB3 | ITGB5 | ITGB6 | MAPK1 | MAPK3 | MIF | MMP1 |
| MMP2 | MMP7 | MMP9 | PDGFA | PLAT | PLAU | PLAUR | PLG | PTEN | PTGS2 | RAC1 | RHOA |
| SERPINE1 | STAT3 | TAGLN | TGFA | TGFB1 | TGFBR3 | TIMP1 | TNF | VEGFA | VTN | WISP1 | WNT5A |
| ACTBa | B2Ma | GAPDHa | HPRT1a | RPLP0a | HGDCb | RTCc | RTCc | RTCc | PPCd | PPCd | PPCd |
aHouse keeping genes. bHuman genomic DNA contamination control.
cReverse transcription control. dPositive PCR control.
(a) Genes ≥ 2.0-fold in ischemic WJ-MSCs as compared to control WJ-MSCs
| Number | Gene symbol | Gene description | Fold difference |
|---|---|---|---|
| 1. | ACTA2 | Actin, alpha 2, smooth muscle, aorta | 2.4 |
| 2. | COL14A1 | Collagen, type XIV, alpha 1 | 33.1 |
| 3. | COL1A1 | Collagen, type I, alpha 1 | 2.59 |
| 4. | COL1A2 | Collagen, type I, alpha 2 | 2.5 |
| 5. | COL3A1 | Collagen, type III, alpha 1 | 2.6 |
| 6. | COL4A1 | Collagen, type IV, alpha 1 | 2.0 |
| 7. | COL4A3 | Collagen, type IV, alpha 3 (Goodpasture antigen) | 4.3 |
| 8. | COL5A1 | Collagen, type V, alpha 1 | 2.99 |
| 9. | CTSK | Cathepsin K | 2.1 |
| 10. | CXCL11 | Chemokine (C-X-C motif) ligand 11 | 24.6 |
| 11. | IGF1 | Insulin-like growth factor 1 (somatomedin C) | 41.4 |
| 12. | IL4 | Interleukin 4 | 3.05 |
| 13. | IL6 | Interleukin 6 (interferon, beta 2) | 1.9 |
| 14. | ITGA1 | Integrin, alpha 1 | 2.4 |
| 15. | MMP2 | Matrix metallopeptidase 2 (gelatinase A, 72 kDa gelatinase, 72 kDa type IV collagenase) | 2.84 |
| 16. | PDGFA | Platelet-derived growth factor alpha polypeptide | 2.02 |
| 17. | PTEN | Phosphatase and tensin homolog | 2.13 |
| 18. | TGFA | Transforming growth factor, alpha | 4.9 |
| 19. | TIMP1 | TIMP metallopeptidase inhibitor 3 | 2.1 |
| 20. | VGEFA | Vascular endothelial growth factor A | 2.3 |
| 21. | VTN | Vitronectin | 11.05 |
| 22. | WISP1 | WNT1 inducible signaling pathway protein 1 | 8.48 |
(b) Genes downregulated ≥ 2.0 in ischemic WJ-MSCs as compared to control WJ-MSCs
| Number | Gene symbol | Gene description | Fold difference |
|---|---|---|---|
| 1. | CCL2 | Chemokine (C-C motif) ligand 2 | −2.33 |
| 2. | CCL7 | Chemokine (C-C motif) ligand 7 | −7.21 |
| 3. | CSF2 | Colony stimulating factor 2 (granulocyte-macrophage) | −3.32 |
| 4. | CTSV | Cathepsin L2 | −5.52 |
| 5. | CXCL1 | Chemokine (C-X-C motif) ligand 1 (melanoma growth stimulating activity, alpha) | −2.77 |
| 6. | CXCL2 | Chemokine (C-X-C motif) ligand 2 | −3.08 |
| 7. | HGF | Hepatocyte growth factor (hepapoietin A; scatter factor) | −7.18 |
| 8. | IL2 | Interleukin 2 | −3.88 |
| 9. | ITGA6 | Integrin, alpha 6 | −4.29 |
| 10. | ITGB6 | Integrin, beta 6 | −5.97 |
| 11. | MMP1 | Matrix metallopeptidase 1 (interstitial collagenase) | −3.13 |
| 12. | PLG | Plasminogen | −4.16 |
| 13. | TNF | Tumor necrosis factor | −7.27 |
| 14. | WNT5A | Wingless-type MMTV integration site family, member 5A | −2.50 |