Evidence map›Paper›PMID 39649284›Full record

ArticleArchives of medical science : AMS2024

PPAR-α regulates metabolic remodelling and participates in myocardial fibrosis in patients with atrial fibrillation of rheumatic heart disease.

Xiaoying Hu, Daisong Jiang, Zheng Zhang, Zhenmei An

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

4 authors.

Xiaoying HuDepartment of Laboratory Medicine, Zigong Fourth People's Hospital, Zigong, China.
Daisong JiangDepartment of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, China.
Zheng ZhangDepartment of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, China.
Zhenmei AnDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study will explore the correlation of peroxisome proliferator activated receptor-α (PPAR-α) regulation of metabolic remodelling in the myocardial fibrosis of atrial fibrillation (AF) in rheumatic heart disease. Material and methods: The left atrial appendage tissues were evaluated by Masson staining for fibrosis degree, and Western Blot was used to detect the expression of proteins related to glucose metabolism disorder, lipid metabolism abnormality, and mitochondrial dysfunction. The myocardial fibroblasts were established by stimulation with ANG II, and the PPAR-α agonist GW7647 was administered. The changes of phenotype transformation of myocardial fibroblasts were detected by cellular immunofluorescence, the secretion level of supernatant collagen was detected by ELISA. Finally, the correlation between PPAR-α protein expression and myocardial fibrosis was analysed and a conclusion was drawn. Results: Masson staining showed that the degree of myocardial fibrosis in patients with AF was significantly increased; WB analysis showed that there were statistically significant differences in protein expression related to glucose metabolism disorder, lipid metabolism abnormality, and mitochondrial dysfunction. There was a correlation between PPAR-α protein expression and myocardial fibrosis ( Conclusions: This study found that there is a negative correlation between the expression of PPAR-α protein and myocardial fibrosis in rheumatic heart disease AF, which plays a protective role. PPAR-α may participate in the pathogenesis of myocardial fibrosis in rheumatic heart disease AF by regulating glucose metabolism, lipid metabolism, and mitochondrial function.

Indexed as

atrial fibrillationcorrelation studymetabolic remodellingmyocardial fibrosisperoxisome proliferator activated receptor-αrheumatic heart disease

Identifiers

PMID39649284
PMCPMC11623188

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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.