Evidence map›Paper›PMID 40535026›Full record

ArticleBioinformatics and biology insights2025

Shared Genetic Characteristics of Coronary Artery Disease and Peripheral artery Disease: Insights From Integrated Bioinformatics Analysis of RNA-Sequencing Data.

Abdul Qadir Nawabi, Lijuan Chen

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Abdul Qadir NawabiDepartment of Cardiology, Zhongda Hospital Southeast University, Nanjing, China.
Lijuan ChenDepartment of Cardiology, Zhongda Hospital Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) and peripheral artery disease have serious effects on quality of life. Recent studies have shown that peripheral arterial disorders increase a person's risk of developing CAD. The clinical symptoms of these conditions include palpitations, fatigue, confusion, shortness of breath, and, in severe cases, heart failure or stroke. Despite these similarities, many diseases have no known treatments, which raises grave concerns for world health. The study aims to identify common differentially expressed genes (DEGs) between CAD and peripheral arterial disease (PAD) patients and investigate biological pathways, network-based analysis, immune and inflammatory profiling, biomarker identification, and multi-omics integration. This helps in early detection and targeted treatment strategies. The results revealed 48 upregulated DEGs that were shared among CAD and peripheral arterial disorders. Functional enrichment analysis revealed mainly myofibril assembly and actomyosin organization, highlighting muscle development and cellular structure, and KEGG pathway analysis revealed amino acid metabolism pathways. A network of protein-protein interactions (PPIs) was built via the STRING and visualized by Cytoscape plugin, CytoHubba, and MCODE, which led to the identification of 10 hub genes, ie,

Indexed as

Coronary artery diseasecystoscopedrug-gene interactionGEOR2peripheral artery diseaseRNA sequence

Identifiers

PMID40535026
PMCPMC12174686

What Socratic holds

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LicenceCC BY-NC
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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.