Evidence map›Paper›PMID 36071497›Full record

ArticleJournal of translational medicine2022

Identification and analysis of mitochondria-related key genes of heart failure.

Haozhen Yu, Mujun Yu, Zhuang Li, Enhu Zhang, Heng Ma

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 27 citations in OpenAlex.

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  17. Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024
    Review
  18. Review
  19. Article
  20. IdentifyingBiomolecules · 2024
    Article
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

5 authors at 3 institutions in 1 country.

Haozhen YuSchool of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Mujun YuSchool of Life Sciences, Yan'an University, Yan'an, China.
Zhuang LiSchool of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Enhu ZhangSchool of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China. zeh2006@163.com.
Heng MaDepartment of Physiology and Pathophysiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China. hengma@fmmu.edu.cn.
Shaanxi University of Chinese Medicine · CNAir Force Medical University · CNYan'an University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria-induced cell death is a vital mechanism of heart failure (HF). Thus, identification of mitochondria-related genes (Mito-RGs) based on transcriptome sequencing data of HF might provide novel diagnostic markers and therapeutic targets for HF. First, bioinformatics analysis was conducted on the GSE57338, GSE76701, GSE136547, and GSE77399 datasets in the Gene Expression Omnibus. Next, we analyzed HF-Mito differentially expressed genes (DEGs) using the protein-protein interaction (PPI) network for obtaining critical genes and exploring their functions. Subsequently, immune cell scores of the HF and normal groups were compared. The potential alteration mechanisms of the key genes were investigated by constructing a competing endogenous RNA network. Finally, we predicted potential therapeutic agents and validated the expression levels of the key genes. Twenty-three HF-Mito DEGs were acquired in the GSE57338 dataset, and the PPI network obtained four key genes, including IFIT3, XAF1, RSAD2, and MX1. According to gene set enrichment analysis, the key genes showed high enrichment in myogenesis and hypoxia. Immune cell analysis demonstrated that aDCs, B cells, and 20 other immune cell types varied between the HF and normal groups. Moreover, we observed that H19 might affect the expression of IFIT3, AXF1, and RSAD2. PCGEM1 might regulate RSAD2 expression. A total of 515 potential therapeutic drugs targeting the key genes, such as tretinoin, silicon dioxide, and bisphenol A, were acquired. Finally, IFIT3, RSAD2, and MX1 expression increased in HF samples compared with normal samples in the GSE76701 dataset, conforming to the GSE57338 dataset analysis. This work screened four key genes, namely, IFIT3, XAF1, RSAD2, and MX1, which can be further explored in subsequent studies for their specific molecular mechanisms in HF.

Indexed as

Gene Regulatory NetworksHeart FailureGene Expression ProfilingHumansMitochondriaProtein Interaction MapsBioinformaticsCompeting endogenous RNA (ceRNA) networkHeart failureKey genesMitochondria

Identifiers

PMID36071497
PMCPMC9450345
OpenAlexW4294877267

What OpenQuestion holds

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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.