What is the clinical evidence from this study?

Study design: Observational. Population: Acute myocardial infarction (n=175). Intervention: Mitophagy-related gene expression (12 key MRDEGs) vs. Healthy controls. Primary outcome: Identification of diagnostic key genes for AMI.

What does this research mean for the field?

A diagnostic risk model based on 12 key mitophagy-related differentially expressed genes accurately identifies acute myocardial infarction and correlates significantly with immune cell infiltration levels. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To identify mitophagy-related key genes and investigate their diagnostic performance and association with immune cell infiltration in acute myocardial infarction (AMI).

January 13, 2025Frontiers in Cardiovascular MedicineOpen Access

Identification of mitophagy-related key genes and their correlation with immune cell infiltration in acute myocardial infarction via bioinformatics analysis

Q: What are the key findings of this study?

Bioinformatics analysis and experimental validation identified 12 mitophagy-related key genes and constructed a risk model for the diagnosis of acute myocardial infarction.

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Key result

Novel 12-gene mitophagy signature identifies acute myocardial infarction and predicts diagnostic risk.

n=175

Why the study?

Mitophagy plays a vital role in eliminating damaged mitochondria during acute myocardial infarction progression, prompting exploration of mitophagy-related biomarkers and their potential molecular basis in AMI.

Population

AMI datasets (GSE24519 and GSE34198) and plasma samples from patients with AMI and healthy individuals

Comparison

Patients with AMI vs healthy individuals

Design

Bioinformatics and machine learning analysis with plasma sample validation

Authors

ZSZulong ShengZhongda Hospital Southeast University RZRui ZhangChina Academy of Engineering Physics ZJZhenjun JiZhongda Hospital Southeast University

Discussion

Member takes

Implication

Mitophagy gene signature may enhance AMI diagnosis; leaves open clinical adoption pending prospective validation.

Key Points

To identify mitophagy-related key genes and investigate their diagnostic performance and association with immune cell infiltration in acute myocardial infarction (AMI).
Combined and debatched blood gene expression profiles from Gene Expression Omnibus datasets GSE24519 (34 AMI and 4 normal samples) and GSE34198 (49 AMI and 48 normal samples).
Intersected differentially expressed genes (|logFC|>0, p < 0.05) with 1,593 mitophagy-related genes and screened them using logistic regression, RandomForest, and LASSO regression.
Constructed a diagnostic risk model nomogram and evaluated immune cell infiltration patterns, functional pathways, and molecular interaction networks.
Identified 12 key mitophagy-related differentially expressed genes to construct a diagnostic risk model whose accuracy was demonstrated via nomogram and calibration analysis.
Observed a lower abundance of immune cells, including gamma delta T and natural killer cells, in the high-risk group, with key gene expression significantly correlating with immune infiltration levels.
Identified 64 miRNA-mRNA pairs, 75 transcription factor-mRNA pairs, 119 RNA-binding protein-mRNA pairs, and 32 drug-mRNA pairs in molecular interaction networks.

Study Design

Type

Observational (n=175)

Structured PICO

Population

175 blood samples from patients with acute myocardial infarction and healthy controls (135 from GEO datasets and 40 from a validation cohort) analyzed for mitophagy-related gene expression.

Comparator

Healthy/normal control samples

Outcome

Identification of mitophagy-related differentially expressed genes (MRDEGs) and construction of a diagnostic risk model for AMIsurrogate

The identification of 12 mitophagy-related key genes provides potential novel biomarkers for the diagnosis and understanding of the molecular basis of acute myocardial infarction.

Cite This Study

Sheng et al. (2025) conducted an observational in Acute myocardial infarction (n=175). Mitophagy-related gene expression (12 key MRDEGs) vs. Healthy controls was evaluated on Identification of diagnostic key genes for AMI. Bioinformatics analysis and experimental validation identified 12 mitophagy-related key genes and constructed a risk model for the diagnosis of acute myocardial infarction.

synapsesocial.com/papers/6a1926aea7ec0a017d2657ac https://doi.org/10.3389/fcvm.2024.1501608

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Identification of mitophagy-related key genes and their correlation with immune cell infiltration in acute myocardial infarction via bioinformatics analysis

Discussion

Member takes

Implication

Key Points

Study Design

Structured PICO

Cite This Study

Identification of mitophagy-related key genes and their correlation with immune cell infiltration in acute myocardial infarction via bioinformatics analysis

Discussion

Member takes

Implication

Key Points

Study Design

Structured PICO

Cite This Study

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