Evidence map›Paper›PMID 38886500›Full record

ArticleScientific reports2024

Regulatory network analysis based on integrated miRNA-TF reveals key genes in heart failure.

Ziyue Zhang, Ziying Zou, Hui Zhang, Dai-Min Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  9. Review
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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

4 authors.

Ziyue Zhang *Department of Cardiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211112, Jiangsu, People's Republic of China.
Ziying Zou *Department of Cardiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211112, Jiangsu, People's Republic of China.
Hui Zhang *Department of Cardiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211112, Jiangsu, People's Republic of China.
Dai-Min ZhangDepartment of Cardiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211112, Jiangsu, People's Republic of China. daiminzh@126.com.

Funding

National Natural Science Foundation of China 81970342
6 · The paper itself

Abstract

The etiology and pathophysiology of heart failure are still unknown. Increasing evidence suggests that abnormal microRNAs (miRNAs) and transcription factors (TFs) expression may be associated with the development of heart failure. Therefore, this study aims to explore key miRNAs, TFs, and related genes in heart failure to gain a greater understanding of the pathogenesis of heart failure. To search and download the dataset of mRNA chips related to heart failure from the GEO database (GSE59867, GSE9128, and GSE134766), we analyzed differential genes and screened the common differentially expressed genes on two chips using R language software. The binary interactions and circuits among miRNAs, TFs, and corresponding genes were determined by Pearson correlation coefficient. A regulatory network of miRNAs, TFs, and target genes was constructed based on bioinformatics. By comparing the sequences of patients with and without heart failure, five downregulated genes with hypermethylated mRNA and three upregulated genes with hypomethylated mRNA were identified. The miRNA-TF gene regulatory network consisted of 26 miRNAs, 22 TFs and six genes. GO and KEGG analysis results revealed that BP terms like cellular response to organic substance, cellular response to cytokine stimulus, and KEGG pathways like osteoclast differentiation, MAPK signaling pathway, and legionellosis were enriched of the DEGs. TMEM87A, PPP2R2A, DUSP1, and miR-92a have great potential as biomarkers for heart failure. The integrated analysis of the mRNA expression spectrum and microRNA-transcription factor-gene revealed the regulatory network of heart failure, which may provide clues to its alternative treatment.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksHeart FailureMicroRNAsTranscription FactorsComputational BiologyDatabases, GeneticGene Expression RegulationHumansRNA, MessengerMicroRNAsRNA, MessengerTranscription FactorsComprehensive analysisHeart failureMethylationmicroRNAsTranscription factor

Identifiers

PMID38886500
PMCPMC11183224

What Socratic 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 Socratic graph.