Mesenchymal stem cell therapy for type 2 diabetes: mechanisms, clinical evidence, and future directions

Malek Zarei1

  • 1Department of Pharmacology, Shahid Beheshti University of Medical Sciences, Tehran, Iran. m.zarei@sbmu.ac.ir.

Molecular Biology Reports
|October 21, 2025
PubMed

Insights

Mesenchymal stem cells (MSCs) show potential for treating type 2 diabetes mellitus (T2DM) by improving glycemic control and complications. However, further research is needed to overcome challenges and establish efficacy and safety.

Area of Science:

  • Regenerative Medicine
  • Endocrinology
  • Immunology

Background:

  • Type 2 diabetes mellitus (T2DM) is a global health issue marked by insulin resistance and inflammation.
  • Current treatments manage blood sugar but don't halt disease progression or complications.
  • Mesenchymal stem cells (MSCs) offer immunomodulatory and regenerative potential for T2DM.

Purpose of the Study:

  • To review the mechanistic and clinical evidence for MSC therapy in T2DM.
  • To highlight recent advancements in MSC-based T2DM treatment strategies.
  • To outline future research priorities for clinical translation.

Main Methods:

  • Synthesis of preclinical data and early-phase clinical trials (2000-2025) on MSCs for T2DM.
  • Evaluation of studies reporting glycaemic indices and diabetic complications.
  • Assessment of strategies to enhance MSC efficacy, such as genetic modification.

Main Results:

  • Modest improvements in HbA1c and reduced insulin needs observed in some T2DM cohorts.
  • Potential benefits noted for diabetic nephropathy and wound healing.
  • Early promise shown by enhanced MSC strategies (e.g., OCN-19 overexpression), requiring further validation.

Conclusions:

  • MSC therapy presents potential for T2DM, but findings are based on small, heterogeneous studies.
  • Challenges include MSC source variability, impaired function in diabetic environments, and limited long-term data.
  • Future research requires standardized production, robust trials, and predictive biomarkers for patient selection.

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