Evidence map›Paper›PMID 34625572›Full record

ArticleNPJ Regenerative medicine2021

Metformin accelerates zebrafish heart regeneration by inducing autophagy.

Fangjing Xie, Shisan Xu, Yingying Lu, Kin Fung Wong, Lei Sun, Kazi Md Mahmudul Hasan, Alvin C H Ma, Gary Tse, Sinai H C Manno, Li Tian and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ Regenerative medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-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

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Molecular Mechanism of Metformin Regulating the Regeneration of PlanarianInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Non-Genomic Hallmarks of Aging-The Review.International journal of molecular sciences · 2023
    Review
  14. Molecular Responses of Daphnids to Chronic Exposures to Pharmaceuticals.International journal of molecular sciences · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

12 authors at 4 institutions in 3 countries.

Fangjing Xie *Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4950-7040
Shisan Xu *School of Life Sciences, Guangxi Normal University, Guilin, China.
Yingying LuDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.
Kin Fung WongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Lei SunDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Kazi Md Mahmudul HasanDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID http://orcid.org/0000-0001-5724-8347
Alvin C H MaDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID http://orcid.org/0000-0002-4800-2844
Gary TseKent and Medway Medical School, Canterbury, UK.ORCID http://orcid.org/0000-0001-5510-1253
Sinai H C MannoDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-6410-6873
Li TianDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-1674-2511
Jianbo YueDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China. jianbyue@cityu.edu.hk.ORCID http://orcid.org/0000-0001-6384-5447
Shuk Han ChengDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China. bhcheng@cityu.edu.hk.ORCID http://orcid.org/0000-0002-5822-7238
City University of Hong Kong · HKHong Kong Polytechnic University · HKGuangxi Normal University · CNMedway School of Pharmacy · GB

Funding

City University of Hong Kong (CityU) 9610348National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 21778045National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 32070702Research Grants Council, University Grants Committee (RGC, UGC) 11101717Research Grants Council, University Grants Committee (RGC, UGC) 11103620
6 · The paper itself

Abstract

Metformin is one of the most widely used drugs for type 2 diabetes and it also exhibits cardiovascular protective activity. However, the underlying mechanism of its action is not well understood. Here, we used an adult zebrafish model of heart cryoinjury, which mimics myocardial infarction in humans, and demonstrated that autophagy was significantly induced in the injured area. Through a systematic evaluation of the multiple cell types related to cardiac regeneration, we found that metformin enhanced the autophagic flux and improved epicardial, endocardial and vascular endothelial regeneration, accelerated transient collagen deposition and resolution, and induced cardiomyocyte proliferation. Whereas, when the autophagic flux was blocked, then all these processes were delayed. We also showed that metformin transiently enhanced the systolic function of the heart. Taken together, our results indicate that autophagy is positively involved in the metformin-induced acceleration of heart regeneration in zebrafish and suggest that this well-known diabetic drug has clinical value for the prevention and amelioration of myocardial infarction.

Identifiers

PMID34625572
PMCPMC8501080
OpenAlexW3202505097

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.