Evidence map›Paper›PMID 36860278›Full record

ArticleFrontiers in cardiovascular medicine2023

Multi-omics integration to identify the genetic expression and protein signature of dilated and ischemic cardiomyopathy.

Konstantina Portokallidou, Nikolas Dovrolis, Georgia Ragia, Natalia Atzemian, George Kolios, Vangelis G Manolopoulos

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  12. Using Omics to Identify Novel Therapeutic Targets in Heart Failure.Circulation. Genomic and precision medicine · 2024
    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

6 authors.

Konstantina PortokallidouLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Nikolas DovrolisLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Georgia RagiaLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Natalia AtzemianLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
George KoliosLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.
Vangelis G ManolopoulosLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Heart failure (HF) is a complex clinical syndrome leading to high morbidity. In this study, we aimed to identify the gene expression and protein signature of HF main causes, namely dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM). Methods: Omics data were accessed through GEO repository for transcriptomic and PRIDE repository for proteomic datasets. Sets of differentially expressed genes and proteins comprising DCM (DiSig) and ICM (IsSig) signatures were analyzed by a multilayered bioinformatics approach. Enrichment analysis Results: Intersection of transcriptomic and proteomic analysis showed 10 differentially expressed genes/proteins in DiSig ( Discussion: Our bioinformatics approach sheds light on the molecular background of HF etiopathology showing molecular similarities as well as distinct expression differences between DCM and ICM. DiSig and IsSig encompass an array of "cross-validated" genes at both transcriptomic and proteomic level, which can serve as novel pharmacological targets and possible diagnostic biomarkers.

Indexed as

dilated cardiomyopathyheart failureischemic cardiomyopathyomics integrationprecision medicineproteomicstranscriptomics

Identifiers

PMID36860278
PMCPMC9968758

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.