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Cited by 265

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Concise Review: Mesenchymal Stem Cell Treatment of the Complications of Diabetes Mellitus

Open access
Volarevic, Vladislav, Arsenijevic, Nebojsa, Lukic, Miodrag L., Stojkovic, Miodrag·2011·Stem Cells

Abstract

Mesenchymal stem cells (MSCs) are multipotent, self-renewing cells that can be found in almost all postnatal organs and tissues. The main functional characteristics of MSCs are their immunomodulatory ability, capacity for self-renewal, and differentiation into mesodermal tissues. The ability of MSCs to differentiate into several cell types, including muscle, brain, vascular, skin, cartilage, and bone cells, makes them attractive as therapeutic agents for a number of diseases including complications of diabetes mellitus. We review here the potential of MSCs as new therapeutic agents in the treatment of diabetic cardiomyopathy, diabetic nephropathy, diabetic polyneuropathy, diabetic retinopathy, and diabetic wounds. Also, in this review we discuss the current limitations for MSCs therapy in humans.

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Crossref · 10.1002/stem.556

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Metadata

Authors
Volarevic, V., Arsenijevic, N., Lukic, M. L., & Stojkovic, M.
Venue
Stem Cells
Published
2011-01-01
Volume
29
Issue
1
Pages
5-10
ISSN
  • 1066-5099 (ISSN-L)
  • 1549-4918
OpenAlex
W1975503903
Cited by
265
References
44
FWCI
6.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Concise Review: Mesenchymal Stem Cell Treatment of the Complications of Diabetes Mellitus. https://app.cochat.ai/papers/10.1002/stem.556
The paper
Volarevic, V., Arsenijevic, N., Lukic, M. L., & Stojkovic, M. (2011). Concise Review: Mesenchymal Stem Cell Treatment of the Complications of Diabetes Mellitus. Stem Cells. https://doi.org/10.1002/stem.556

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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.