The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis
Open accessAbstract
Background: Diabetic nephropathy (DN) is one of the most serious complications of diabetes and the leading cause of end-stage chronic kidney disease. Currently, there are no effective drugs for treating DN. Therefore, novel and effective strategies to ameliorate DN at the early stage should be identified. This study aimed to explore the effectiveness and underlying mechanisms of human umbilical cord mesenchymal stem cells (UC-MSCs) in DN. Methods: We identified the basic biological properties and examined the multilineage differentiation potential of UC-MSCs. Streptozotocin (STZ)-induced DN rats were infused with 2 × 10 6 UC-MSCs via the tail vein at week 6. After 2 weeks, we measured blood glucose level, levels of renal function parameters in the blood and urine, and cytokine levels in the kidney and blood, and analyzed renal pathological changes after UC-MSC treatment. We also determined the colonization of UC-MSCs in the kidney with or without STZ injection. Moreover, in vitro experiments were performed to analyze cytokine levels of renal tubular epithelial cell lines (NRK-52E, HK2) and human renal glomerular endothelial cell line (hrGECs). Results: UC-MSCs significantly ameliorated functional parameters, such as 24-h urinary protein, creatinine clearance rate, serum creatinine, urea nitrogen, and renal hypertrophy index. Pathological changes in the kidney were manifested by significant reductions in renal vacuole degeneration, inflammatory cell infiltration, and renal interstitial fibrosis after UC-MSC treatment. We observed that the number of UC-MSCs recruited to the injured kidneys was increased compared with the controls. UC-MSCs apparently reduced the levels of pro-inflammatory cytokines (IL-6, IL-1β, and TNF-α) and pro-fibrotic factor (TGF-β) in the kidney and blood of DN rats. In vitro experiments showed that UC-MSC conditioned medium and UC-MSC-derived exosomes decreased the production of these cytokines in high glucose-injured renal tubular epithelial cells, and renal glomerular endothelial cells. Moreover, UC-MSCs secreted large amounts of growth factors including epidermal growth factor, fibroblast growth factor, hepatocyte growth factor, and vascular endothelial growth factor. Conclusion: UC-MSCs can effectively improve the renal function, inhibit inflammation and fibrosis, and prevent its progression in a model of diabetes-induced chronic renal injury, indicating that UC-MSCs could be a promising treatment strategy for DN.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Diabetic Kidney Disease: Challenges, Progress, and Possibilities
Alicic, R. Z., Rooney, M. T., & Tuttle, K. R. (2017) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11491116 · Cited by 2,898
Mechanisms of Diabetic Complications
Forbes, J. M., & Cooper, M. E. (2013) · Physiological Reviews · doi:10.1152/physrev.00045.2011 · Cited by 2,890
Mesenchymal Stem Cell Homing: The Devil Is in the Details
Karp, J. M., & Leng Teo, G. S. (2009) · Cell Stem Cell · doi:10.1016/j.stem.2009.02.001 · Cited by 1,445
Fox, C. S., Matsushita, K., Woodward, M., Bilo, H. J., Chalmers, J., Heerspink, H. J. L., Lee, B. J., Perkins, R. M., Rossing, P., Sairenchi, T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61350-6 · Cited by 1,401 · cited 1×
“Compared with other types of diabetic patients, DN patients have a higher mortality rate, and most of the deaths are due to cardiovascular events [8].”
BackgroundUS Renal Data System 2019 Annual Data Report: Epidemiology of Kidney Disease in the United States
Saran, R., Robinson, B., Abbott, K. C., Bragg-Gresham, J., Chen, X., Gipson, D., Gu, H., Hirth, R. A., Hutton, D., Jin, Y., et al. (2020) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2019.09.003 · Cited by 992
Lee, R. H., Seo, M. J., Reger, R. L., Spees, J. L., Pulin, A. A., Olson, S. D., & Prockop, D. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608249103 · Cited by 710
Stromal Cells Protect against Acute Tubular Injury via an Endocrine Effect
Bi, B., Schmitt, R., Israilova, M., Nishio, H., & Cantley, L. G. (2007) · Journal of the American Society of Nephrology · doi:10.1681/asn.2007020140 · Cited by 515
Mesenchymal Stem Cell-Based Immunomodulation: Properties and Clinical Application
Wang, M., Yuan, Q., & Xie, L. (2018) · Stem Cells International · doi:10.1155/2018/3057624 · Cited by 505
Cited by
Song, J., Liu, J., Cui, C., Hu, H., Zang, N., Yang, M., Yang, J., Zou, Y., Li, J., Wang, L., et al. (2023) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.13177 · Cited by 118
Diabetes and its complications: molecular mechanisms, prevention and treatment
Zhao, L., Yuan, J., Yang, Q., Ma, J., Yang, F., Zou, Y., Liu, K., & Liu, F. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02401-w · Cited by 80
Metadata
- Authors
- Xiang, E., Han, B., Zhang, Q., Rao, W., Wang, Z., Chang, C., Zhang, Y., Tu, C., Li, C., & Wu, D.
- Venue
- Stem Cell Research & Therapy
- Published
- 2020-08-03
- Volume
- 11
- Issue
- 1
- Pages
- 336-336
- ISSN
- 1757-6512 (ISSN-L)
- OpenAlex
- W3046377059
- Cited by
- 331
- References
- 37
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis. https://app.cochat.ai/papers/10.1186/s13287-020-01852-y
- The paper
- Xiang, E., Han, B., Zhang, Q., Rao, W., Wang, Z., Chang, C., Zhang, Y., Tu, C., Li, C., & Wu, D. (2020). Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis. Stem Cell Research & Therapy. https://doi.org/10.1186/s13287-020-01852-y
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.