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June 16, 2022Open Access

Identification of potential candidate genes and dysregulated mechanisms of heart failure

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Key result

Eight candidate genes emerge as highly sensitive diagnostic markers for HF with AUCs >0.8.

  • n=440

Why the study?

Heart failure adversely affects quality of life and understanding its biology is needed to identify candidate markers for effective diagnosis and treatment.

Population

Heart failure and non-failing samples from GSE116250 and GSE141910 datasets

Comparison

Heart failure samples vs non-failing samples

Design

Observational gene expression profiling with LASSO and immune cell infiltration analysis

Authors

FWFeifei WangXLXiaoyan LiangYHYafan Han

Discussion

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Overview

May inform HF biomarker discovery; leaves open prospective clinical validation before diagnostic or therapeutic use.

Study Design

Type

Observational (n=440)

Structured PICO

P
Population
440 samples including heart failure patients and non-failing donors from public gene expression datasets and clinical peripheral blood samples.
E
Exposure
Gene expression profiling, LASSO analysis, and immune cell infiltration analysis
C
Comparator
Non-failing (NF) samples
O
Outcome
Identification of differentially expressed genes (DEGs) and candidate diagnostic genes for HFsurrogate

Bioinformatics analysis identified eight candidate genes and immune cell infiltration patterns that may serve as potential diagnostic markers and therapeutic targets for heart failure.

Limitations

  • Clinical samples are needed to validate bioinformatically important analysis results
  • Corresponding clinical data need to be included in further analyses
  • Candidate genes should undergo prospective validation with large sample sizes before clinical application

Cite This Study

Wang et al. (2022) conducted an observational in Heart failure (n=440). Heart failure vs. Non-failing controls was evaluated on Diagnostic performance of candidate genes for heart failure. Eight candidate genes (PHLDA1, C1QTNF2, SPC24, FNDC1, FREM1, SLC16A9, PLA2G2A, and S1PR3) were identified as highly sensitive diagnostic markers for heart failure, with AUC values greater than 0.8.

synapsesocial.com/papers/6aaf356611fbe269dcdc9975https://doi.org/10.21203/rs.3.rs-1679607/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Weighted correlation network bioinformatics uncovers a key molecular biosignature driving the left-sided heart failure2020 · 18 citations
  2. 2Multimarker Approach for the Prediction of Heart Failure Incidence in the Community2010 · 147 citations
  3. 3The Role of Toll-Like Receptor Signaling in the Progression of Heart Failure2018 · 159 citations
  4. 4Acute Heart Failure Following Myocardial Infarction: Complement Activation Correlates with the Severity of Heart Failure in Patients Developing Cardiogenic Shock2018 · 48 citations
  5. 5International Consortium for Health Outcomes Measurement (ICHOM): Standardized Patient-Centered Outcomes Measurement Set for Heart Failure Patients2019 · 138 citations