Evidence map›Paper›PMID 40458682›Full record

ReviewFrontiers in clinical diabetes and healthcare2025

New frontiers in type I diabetes treatment: the impact of mesenchymal stromal cells on long-term complications.

Deeptha Bejugam, Sarah Bu, Athena N Nguyen, Mariam Yaltaghian, Kinga K Smolen

Abstract readReview
In one paragraph

Review in Frontiers in clinical diabetes and healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Deeptha BejugamGeorgetown University School of Medicine, Washington, DC, United States.
Sarah BuGeorgetown University School of Medicine, Washington, DC, United States.
Athena N NguyenGeorgetown University School of Medicine, Washington, DC, United States.
Mariam YaltaghianGeorgetown University School of Medicine, Washington, DC, United States.
Kinga K SmolenPrecision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) is not only a disorder of insulin production from beta cell destruction, but also a progressive condition that brings about life-threatening complications such as diabetic nephropathy, impaired wound recovery, and cardiovascular disease. Mesenchymal stromal cell (MSC) use has recently become an encouraging new way to treat these complications and can result in better health outcomes for T1D patients. Some research has shown that MSC injections into mice and rat models have resulted in reduced mesangial cell thickening, inflammatory mediator recruitment, proteinuria, and fibrosis normally seen in diabetic nephropathy. Other studies have demonstrated that MSCs aid wound healing by increasing anti-inflammatory M2 macrophage differentiation, stimulating angiogenesis and collagen synthesis, and signaling the proliferation and migration of dermal fibroblasts toward injury sites. Additionally, there is evidence that MSCs are capable of activating the PI3K pathway and exhibiting antioxidant effects in murine models experiencing diabetic-related heart disease. However, given these efforts, further research is needed to establish the prolonged safety and efficacy of MSC use in humans to treat T1D.

Indexed as

diabetic cardiovascular diseasediabetic nephropathydiabetic wound healingmesenchymal stromal cellsstem cellstype I diabetes

Identifiers

PMID40458682
PMCPMC12127150

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.