Evidence map›Paper›PMID 40033224›Full record

ReviewBMC nephrology2025

Immunomodulatory effects of mesenchymal stem cell therapy in chronic kidney disease: a literature review.

Jipeng Li, Mengting Wu, Lijie He

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
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  5. Review
  6. Review
  7. Review
  8. Article
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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

3 authors.

Jipeng LiDepartment of Nephrology, Xijing Hospital, Air Force Medical University, Xi'an, Shaan Xi, China.
Mengting WuDepartment of Nephrology, Xijing Hospital, Air Force Medical University, Xi'an, Shaan Xi, China.
Lijie HeDepartment of Nephrology, Xijing Hospital, Air Force Medical University, Xi'an, Shaan Xi, China. helijie@fmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) has been a growing public medical concern in recent years which calls for effective interventions. Mesenchymal stem cells (MSCs) have garnered increased interest in past decades due to their potential to repair and regenerate damaged tissues. Many clinical trials have highlighted the safety and effectiveness of kidney disease with this novel cell therapy. MSC infusion can improve renal function indices such as glomerular filtration rate, urine protein, serum creatinine, and blood urea nitrogen, while inhibiting immune response by increasing regulatory T cells. The therapeutic mechanisms may be primarily attributed to a function combined with immunomodulation, anti-inflammation, anti-fibrosis, promoting angiogenesis, anti-oxidation, anti-apoptosis, or tissue healing produced by cell secretsome. However, CKD is a broad concept due to many pathological etiologies including diabetes, hypertension, heart disease, immunological damage, a family history of renal failure, and so on. Furthermore, the therapeutic efficacy of MSCs may be influenced by different cell sources, injection methods, medication dosage, or homing proportion. As a result, it is timely and essential to access recent advancements in the MSC application on CKD.

Indexed as

ImmunomodulationMesenchymal Stem Cell TransplantationRenal Insufficiency, ChronicAnimalsHumansMesenchymal Stem CellsChronic kidney diseaseDiabetic nephropathyImmunomodulationLupus nephritisMesenchymal stem cell

Identifiers

PMID40033224
PMCPMC11874639

What OpenQuestion holds

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LicenceCC BY-NC-ND
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 OpenQuestion graph.