Evidence map›Paper›PMID 41488628›Full record

ReviewFrontiers in immunology2025

Modular mastery of inflammation: umbilical cord mesenchymal stem cells as a therapeutic frontier.

Li Yin, Chen-Yang Sun, Gui-Lai Chen, Zhuo Xiang, Bao-Quan Hu, Fang Zhou, Qiang Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Li YinThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Chen-Yang SunClinical Medical Research Center, Shandong Second Provincial General Hospital, Jinan, China.
Gui-Lai ChenClinical Medical Research Center, Shandong Second Provincial General Hospital, Jinan, China.
Zhuo XiangClinical Medical Research Center, Shandong Second Provincial General Hospital, Jinan, China.
Bao-Quan HuDepartment of Ocardiothoracic Surgery, Southwest Hospital Army of Medical University, Chongqing, China.
Fang ZhouThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Qiang WangThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation operates as a dual-edged sword in physiological defense and pathological damage, driving conditions from diabetes to neurodegeneration. Current anti-inflammatory therapies-NSAIDs, corticosteroids, and biologics-face clinical bottlenecks including non-specific toxicity, therapeutic ceiling effects, and drug resistance. Umbilical cord mesenchymal stem cells (UC-MSCs) emerge as a transformative alternative, leveraging three synergistic modules: Immune reprogramming, Inflammasome inhibition, Intercellular communication. Clinical trials demonstrate efficacy in inflammatory bowel disease, COVID-19 ARDS, and graft-versus-host disease. UC-MSCs outperform conventional therapies by multi-pathway modulation and tissue-regenerative capacity, though challenges persist in cell heterogeneity and long-term safety. Future work must standardize dosing protocols and validate scalable production for clinical translation.

Indexed as

COVID-19InflammationInflammatory Bowel DiseasesMesenchymal Stem CellsMesenchymal Stem Cell TransplantationUmbilical CordAnimalsGraft vs Host DiseaseHumansSARS-CoV-2clinical translationimmunomodulationinflammasometissue regenerationumbilical cord mesenchymal stem cells

Identifiers

PMID41488628
PMCPMC12757260

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.