Evidence map›Paper›PMID 30409193›Full record

ArticleStem cell research & therapy2018

Metformin induces apoptosis in mesenchymal stromal cells and dampens their therapeutic efficacy in infarcted myocardium.

Xiao He, Meng-Wei Yao, Ming Zhu, Dong-Lan Liang, Wei Guo, Yi Yang, Rong-Seng Zhao, Ting-Ting Ren, Xiang Ao, Wei Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. NINJ1 impairs the anti-inflammatory function of hUC-MSCs with synergistic IFN-γ and TNF-α stimulation.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2025
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  12. Impact of Diabetes Mellitus on Bone Health.International journal of molecular sciences · 2019
    Review
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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

15 authors at 3 institutions in 2 countries.

Xiao HeDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Meng-Wei YaoDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Ming ZhuDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Dong-Lan LiangDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Wei GuoDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Yi YangDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Rong-Seng ZhaoDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Ting-Ting RenDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Xiang AoDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Wei WangDepartment of Cardiology, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Chun-Yu ZengDepartment of Cardiology, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Hua-Ping LiangFirst Department, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China.
Dong-Po JiangDepartment of Critical Care Medicine, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, 400042, People's Republic of China.
Jian YuDepartment of Pathology of Pittsburgh Cancer Institute, Pittsburgh, PA, USA.
Xiang XuDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital and Research Institute of Surgery, Army Medical University, Chongqing, People's Republic of China. xiangxu@tmmu.edu.cn.ORCID 0000-0002-1026-2210
Army Medical University · CNQingdao University · CNUPMC Hillman Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular complications, especially myocardial infarctions (MIs), are the leading mortality cause in diabetic patients. The transplantation of stem cells into damaged hearts has had considerable success as a treatment for MI, although whether antidiabetic drugs affect the therapeutic efficacy of stem cell transplantation is still unknown. This study aims to understand whether and how metformin, one of the first-line drugs used to treat type 2 diabetes mellitus (T

methodsA mouse MI model was generated via permanent ligation of the left anterior descending (LAD) coronary artery. MSCs with or without metformin treatment were transplanted after MI in diabetic mice. Echocardiography was used to assess cardiac function and determine cardiac remodeling, and TTC staining was performed to evaluate infarction size. A mouse gavage model was performed to evaluate bone marrow MSCs for flow cytometry assay.

resultsMetformin dampened MSC therapeutic efficacy, which increased infarct size and restricted functional cardiac recovery. Specifically, metformin induced the activation of AMP-activated protein kinase (AMPK)-mediated apoptosis through the inhibition of S6K1-Bad-Bcl-xL cell survival signaling, resulting in the upregulated expression of apoptosis-associated proteins and increased MSC apoptosis. Accordingly, counteracting AMPK attenuated metformin-induced apoptosis in MSCs and partially restored their cardioprotective effects in diabetic mice with MI. Furthermore, a decrease in peripheral blood MSCs was found in patients with T

conclusionsOur results highlight an unexpected adverse effect of metformin-induced MSC apoptosis through AMPK-mediated mTOR suppression, which is attenuated by an AMPK inhibitor. Moreover, AMPK inhibition may be a novel strategy for enhancing the effectiveness of stem cell therapy after MI in diabetes.

Indexed as

Mesenchymal Stem Cell TransplantationAdenylate KinaseAnimalsApoptosisCardiotonic AgentsDiabetes Mellitus, ExperimentalFemaleHumansMaleMesenchymal Stem CellsMetforminMiceMyocardial InfarctionTreatment OutcomeAdenylate KinaseCardiotonic AgentsMetforminApoptosisDiabetes mellitusMesenchymal stromal cellsMetforminMyocardial infarction

Identifiers

PMID30409193
PMCPMC6225675
OpenAlexW2900142834

What OpenQuestion 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 OpenQuestion graph.