Evidence map›Paper›PMID 41180218›Full record

ArticleWorld journal of stem cells2025

Melanoma cell adhesion molecule-positive mesenchymal stromal cells alleviate acute respiratory distress syndrome

Ya-Li Zhang, Ding-Ke Wen, Sheng-Nan Wang, Yi Tan, He-Ran Ma

Abstract read
In one paragraph

Article in World journal of stem cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Ya-Li ZhangDepartment of Research and Development, Qilu Cell Therapy Technology Co., Ltd, Jinan 250000, Shandong Province, China.
Ding-Ke WenDepartment of Research and Development, Qilu Cell Therapy Technology Co., Ltd, Jinan 250000, Shandong Province, China.
Sheng-Nan WangDepartment of Research and Development, Qilu Cell Therapy Technology Co., Ltd, Jinan 250000, Shandong Province, China.
Yi TanDepartment of Research and Development, Qilu Cell Therapy Technology Co., Ltd, Jinan 250000, Shandong Province, China.
He-Ran MaDepartment of Research and Development, Qilu Cell Therapy Technology Co., Ltd, Jinan 250000, Shandong Province, China. maheran@yinfeng.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMesenchymal stromal cells (MSCs) are renowned for their immunosuppressive properties, which make them widely used in managing excessive inflammation. Although CD146+ and CD146- MSCs exhibit similar morphological traits and surface marker expression levels, the specific characteristics and differential regulatory mechanisms of these two subtypes remain poorly understood. This knowledge gap has limited the precise application of MSCs in targeted therapeutic strategies.

aimTo compare the functional differences between CD146+ and CD146- MSCs and investigate the underlying mechanisms.

methodsIn this study, magnetic beads were used to sort umbilical cord-derived MSCs into CD146+ and CD146- subsets. The pro-angiogenic factors (hepatocyte growth factor, prostaglandin E2, vascular endothelial growth factor, angiopoietin-1) production and immunomodulatory effects on T lymphocyte subsets were evaluated

resultsCytokine secretion and angiogenesis: CD146+ MSCs significantly increased the production of hepatocyte growth factor, prostaglandin E2, vascular endothelial growth factor, and angiopoietin-1 and exhibited increased pro-angiogenic activity

conclusionCD146+ MSCs show stronger ARDS therapeutic potential than CD146- MSCs

Indexed as

Acute respiratory distress syndromeCD146Melanoma cell adhesion moleculeMesenchymal stromal cellsNuclear factor kappa B

Identifiers

PMID41180218
PMCPMC12576765

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Registered trials

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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.