Evidence map›Paper›PMID 28066264›Full record

ArticleFrontiers in physiology2016

Chronic Exercise Training Improved Aortic Endothelial and Mitochondrial Function via an AMPKα2-Dependent Manner.

Xiaohui Chen, Xiangbo An, Dongrui Chen, Maoqing Ye, Weili Shen, Weiqing Han, Youyi Zhang, Pingjin Gao

Abstract read
In one paragraph

Article in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Xiaohui ChenLaboratory of Vascular Biology and Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences Shanghai, China.
Xiangbo AnInstitute of Vascular Medicine, Peking University Third Hospital Beijing, China.
Dongrui ChenShanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China; Shanghai Institute of HypertensionShanghai, China.
Maoqing YeShanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China; Shanghai Institute of HypertensionShanghai, China.
Weili ShenShanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China; Shanghai Institute of HypertensionShanghai, China.
Weiqing HanShanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China; Shanghai Institute of HypertensionShanghai, China.
Youyi ZhangInstitute of Vascular Medicine, Peking University Third Hospital Beijing, China.
Pingjin GaoLaboratory of Vascular Biology and Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of SciencesShanghai, China; Shanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China; Shanghai Institute of HypertensionShanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic exercise training is known to protect the vasculature; however, the underlying mechanisms remain obscure. The present study hypothesized that exercise may improve aortic endothelial and mitochondrial function through an adenosine monophosphate-activated protein kinase α2 (AMPKα2)-dependent manner. Ten-week-old AMPKα2 knockout (AMPKα2

Indexed as

AMPKendothelial functionexercisemitochondrial functionvascular

Identifiers

PMID28066264
PMCPMC5175474

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.