ArticleJournal of translational medicine2022
Identification and analysis of mitochondria-related key genes of heart failure.
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.
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.
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.
Who cites it
24 citing papers in PubMed, 27 citations in OpenAlex.
- Divided-and-combined association test for pleiotropic effects with GWAS summary statistics.BMC genomics · 2026Article
- Mitochondrial cardiovascular diseases: molecular mechanisms, multi-omics exploration and therapeutic strategies.Journal of advanced research · 2026Review
- Identification of mitochondrial associated genes as diagnostic biomarkers for basal cell carcinoma: Comprehensive bioinformatics analysis and experimental validation.Glycoconjugate journal · 2026Article
- Distinct landscapes of T-cell immunity and TCR repertoire between sepsis and pre-septic high-risk states.Frontiers in immunology · 2026Article
- Integrated NEK7-inflammasome and platelet transcriptomic signature generates mechanistic hypotheses in heart failure.PloS one · 2026Article
- Cross-cohort integrative multi-omics analysis of cancer essential gene ATP6V0B to dissect functional characteristics and clinical implications in breast cancer.World journal of surgical oncology · 2025Article
- Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure.Scientific reports · 2025Article
- Uncovering dendritic cell specific biomarkers for diagnosis and prognosis of cardiomyopathy using single cell RNA sequencing and comprehensive bioinformatics analysis.Scientific reports · 2025Article
- Mitochondrial Dysfunction in the Development and Progression of Cardiometabolic Diseases: A Narrative Review.Journal of clinical medicine · 2025Review
- Vitamin A treatment restores vision failures arising from Leber's hereditary optic neuropathy-linked mtDNA mutation.JCI insight · 2025Article
- Crucial Roles of RSAD2/viperin in Immunomodulation, Mitochondrial Metabolism and Autoimmune Diseases.Inflammation · 2025Review
- Downregulation of Gldc attenuates myocardial ischemia reperfusion injury in vitro by modulating Akt and NF-κB signalings.Scientific reports · 2025Article
- Discovery and confirmation of crucial genes associated with radiation-induced heart disease.International journal of medical sciences · 2025Article
- The diagnostic value investigation of programmed cell death genes in heart failure.BMC cardiovascular disorders · 2024Article
- Article
- Causal effect of psoriasis on aortic valve stenosis: a two-sample Mendelian randomization study.Journal of geriatric cardiology : JGC · 2024Article
- Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024Review
- Mitochondrial Structure and Function in Human Heart Failure.Circulation research · 2024Review
- Article
- IdentifyingBiomolecules · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.