Evidence map›Paper›PMID 33443726›Full record

SynthesisHeart failure reviews2021

A meta-analysis of microRNA expression profiling studies in heart failure.

Alieh Gholaminejad, Nasrin Zare, Nasim Dana, Davood Shafie, Arya Mani, Shaghayegh Haghjooy Javanmard

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Heart failure reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Alieh GholaminejadRegenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Nasrin Zare *Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical, Isfahan, Iran.
Nasim DanaApplied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical, Isfahan, Iran.
Davood ShafieHeart Failure Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Arya ManiYale Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT, USA.
Shaghayegh Haghjooy JavanmardApplied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical, Isfahan, Iran. shaghayegh.haghjoo@gmail.com.ORCID 0000-0002-3853-5006
Isfahan University of Medical Sciences · IRYale University · US

Funding

The characterization of Cela2a, a novel disease gene for metabolic syndrome in health and diseasesR01DK134329 · NIDDK · YALE UNIVERSITY · PI Arya Mani · 2023 to 2026
$2.6M
The transcriptional regulation of smooth muscle genes by PRDM6 in vascular health and diseasesR01HL171054 · NHLBI · YALE UNIVERSITY · PI Arya Mani · 2024 to 2026
$2.5M
NHLBI NIH HHS R01 HL171054NIDDK NIH HHS R01 DK134329
6 · The paper itself

Abstract

Heart failure (HF) is a major consequence of many cardiovascular diseases with high rate of morbidity and mortality. Early diagnosis and prevention are hampered by the lack of informative biomarkers. The aim of this study was to perform a meta-analysis of the miRNA expression profiling studies in HF to identify novel candidate biomarkers or/and therapeutic targets. A comprehensive literature search of the PubMed for miRNA expression studies related to HF was carried out. The vote counting and robust rank aggregation meta-analysis methods were used to identify significant meta-signatures of HF-miRs. The targets of HF-miRs were identified, and network construction and gene set enrichment analysis (GSEA) were performed to identify the genes and cognitive pathways most affected by the dysregulation of the miRNAs. The literature search identified forty-five miRNA expression studies related to CHF. Shared meta-signature was identified for 3 up-regulated (miR-21, miR-214, and miR-27b) and 13 down-regulated (miR-133a, miR-29a, miR-29b, miR-451, miR-185, miR-133b, miR-30e, miR-30b, miR-1, miR-150, miR-486, miR-149, and miR-16-5p) miRNAs. Network properties showed miR-29a, miR-21, miR-29b, miR-1, miR-16, miR-133a, and miR-133b have the most degree centrality. GESA identified functionally related sets of genes in signaling and community pathways in HF that are the targets of HF-miRs. The miRNA expression meta-analysis identified sixteen highly significant HF-miRs that are differentially expressed in HF. Further validation in large patient cohorts is required to confirm the significance of these miRs as HF biomarkers and therapeutic targets.

Indexed as

Heart FailureMicroRNAsBiomarkersHumansSignal TransductionBiomarkersMicroRNAsBiomarkersHeart failureMeta-analysismicroRNA

Identifiers

PMID33443726
OpenAlexW3119595299

What Socratic holds

Textmetadata
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 Socratic graph.