Evidence map›Paper›PMID 37807066›Full record

ArticleStem cell research & therapy2023

Blockade of TGF-β signalling alleviates human adipose stem cell senescence induced by native ECM in obesity visceral white adipose tissue.

Xueya Han, Weihong Li, Xu He, Xin Lu, Yu Zhang, Yaqiong Li, Guoyun Bi, Xuqing Ma, Xiaowu Huang, Rixing Bai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Integrating Senescence and Oxidative Stress in Cardiac Disease.International journal of molecular sciences · 2025
    Review
  4. Review
  5. 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

11 authors at 1 institution in 1 country.

Xueya HanDepartment of Cell Biology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Weihong LiExperimental Center for Basic Medical Teaching, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Xu HeExperimental Center for Basic Medical Teaching, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Xin LuExperimental Center for Basic Medical Teaching, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Yu ZhangDepartment of Cell Biology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Yaqiong LiDepartment of Cell Biology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Guoyun BiDepartment of Cell Biology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Xuqing MaDepartment of Cell Biology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China.
Xiaowu HuangFu Xing Hospital, Capital Medical University, Beijing, 100038, China.
Rixing BaiDepartment of General Surgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, 100070, China.
Haiyan ZhangDepartment of Cell Biology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China. culture@ccmu.edu.cn.ORCID http://orcid.org/0000-0001-9005-5774
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal obesity is appreciated as a major player in insulin resistance and metabolically dysfunctional adipose tissue. Inappropriate extracellular matrix (ECM) remodelling and functional alterations in human adipose stromal/stem cells (hASCs) have been linked with visceral white adipose tissue (vWAT) dysfunction in obesity. Understanding the interactions between hASCs and the native ECM environment in obese vWAT is required for the development of future therapeutic approaches for obesity-associated metabolic complications.

methodsThe phenotypes and transcriptome properties of hASCs from the vWAT of obese patients and lean donors were assessed. The hASC-derived matrix from vWAT of obese or lean patients was generated in vitro using a decellularized method. The topography and the major components of the hASC-derived matrix were determined. The effects of the obese hASC-derived matrix on cell senescence and mitochondrial function were further determined.

resultsWe showed that hASCs derived from the vWAT of obese patients exhibited senescence and were accompanied by the increased production of ECM. The matrix secreted by obese hASCs formed a fibrillar suprastructure with an abundance of fibronectin, type I collagen, and transforming growth factor beta 1 (TGF-β1), which resembles the native matrix microenvironment of hASCs in vWAT derived from obese patients. Furthermore, the obese hASC-derived matrix promoted lean hASC ageing and induced mitochondrial dysfunction compared to the lean hASC-derived matrix. Blockade of TGF-β1 signalling using an anti-TGF-β1 neutralizing antibody alleviated the lean hASC senescence and mitochondrial dysfunction induced by the obese hASC-derived matrix.

conclusionsNative ECM in obesity vWAT initiates hASC senescence through TGF-β1-mediated mitochondrial dysfunction. These data provide a key mechanism for understanding the importance of cell-ECM interactions in hASCs senescence in obesity.

Indexed as

Adipose TissueTransforming Growth Factor beta1Adipose Tissue, WhiteCellular SenescenceExtracellular MatrixHumansObesityTransforming Growth Factor beta1AgeingCell-derived extracellular matrixHuman adipose stromal/stem cellMitochondriaNeutralizing antibodyObesity, visceral white adipose tissueTGF-β1

Identifiers

PMID37807066
PMCPMC10561428
OpenAlexW4387440723

What OpenQuestion holds

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LicenceCC BY
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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.