Evidence map›Paper›PMID 30697273›Full record

ArticleArchives of medical science : AMS2019

BDNF contributes to the skeletal muscle anti-atrophic effect of exercise training through AMPK-PGC1α signaling in heart failure mice.

Zheng Zhang, Beili Wang, Aihua Fei

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of medical science : AMS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Brain-derived neurotrophic factor drives muscle adaptation similar to aerobic training in mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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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

3 authors at 2 institutions in 1 country.

Zheng ZhangDepartment of Emergency, Xin Hua Hospital affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, China.
Beili WangDepartment of Oncology, Xin Hua Hospital affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, China.
Aihua FeiDepartment of Emergency, Xin Hua Hospital affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNXinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExercise training is a coadjuvant therapy in preventive cardiology, and it delays cardiac dysfunction and exercise intolerance in heart failure (HF). However, the mechanisms underlying muscle function improvement and cardioprotection are poorly understood. In this study, we tested whether exercise training would counteract skeletal muscle atrophy via activation of the BDNF pathway in myocardial infarction (MI)-induced HF mice. MATERIAL AND

methodsA cohort of male Sham-operated and MI mice were assigned into 8-week moderate exercise training, and untrained counterparters were used as control. Exercise capacity, plasma norepinephrine (NE) level, heart rate (HR), fractional shortening (FS) and ejection fraction (EF) were measured. The protein expression of BDNF, p-TrkB, p-AMPK and PGC1α were analyzed by Western blot.

resultsCompared with the Sham-operated mice, MI mice displayed reduced total distance run and elevated plasma NE level (both

conclusionsTaken together, our data provide evidence for exercise training may counteract HF-induced muscle atrophy through induced activation of BDNF pathway.

Indexed as

AMPK/PGC1αBDNF/TrkBexercise trainingheart failureskeletal muscleventricular function

Identifiers

PMID30697273
PMCPMC6348347
OpenAlexW2912207119

What OpenQuestion holds

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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.