Evidence map›Paper›PMID 39974562›Full record

ArticleMedical review (2021)2025

Combining transcriptomic and metabolomic insights to guide the clinical application of adipose- and bone marrow-derived mesenchymal stem cells.

Wenyan Zhou, Junxin Lin, David C Hay, Xudong Yao, Hongwei Ouyang

Abstract read
In one paragraph

Article in Medical review (2021), 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

5 authors.

Wenyan ZhouSchool of Medicine, Taizhou University, Taizhou, Zhejiang, China.
Junxin LinSchool of Medicine, Taizhou University, Taizhou, Zhejiang, China.
David C HayCentre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.
Xudong YaoInternational School of Medicine, International Institutes of Medicine, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, Zhejiang, China.
Hongwei OuyangDr. Li Dak Sum & Yip Yio Chin Center for Stem Cells and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0003-0627-2536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose-derived mesenchymal stem cells (ADSCs) and bone marrow-derived mesenchymal stem cells (BMSCs) have shown great potential in clinical applications. However, the similarities and differences between these two cell types have not been fully elucidated. Recent advances in transcriptomic and metabolomic research have provided valuable insight into the characteristics and functions of ADSCs and BMSCs. In this perspective article, we review the key findings from these studies, including cellular heterogeneity as well as differences in metabolic and secretory properties. We discuss how these insights can help guide the selection of the most suitable cell source for the clinic, and the optimization of preconditioning strategies prior to clinical deployment. Furthermore, we analyze the current landscape of products and clinical trials involving ADSCs and BMSCs, highlighting their therapeutic potential. We propose that the integration of multi-omics datasets will be crucial for establishing a comprehensive understanding of ADSC and BMSC identity and potency, and the provision of quality-assured stem cell-derived products for the clinic.

Indexed as

adipose-derived mesenchymal stem cellsbone marrow-derived mesenchymal stem cellscellular heterogeneitymetabolomicssecretomicstranscriptomics

Identifiers

PMID39974562
PMCPMC11834745

What OpenQuestion holds

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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.