Evidence map›Paper›PMID 42010735›Full record

ArticleHereditas2026

Hub genes of neutrophil extracellular traps in abdominal aortic aneurysm: a bioinformatics analysis.

Jinxin Liu, Bixuan Yue, Zhiying Shen, Bo Yang, Yuxuan Ou, Xiaowu Wang

Abstract read
In one paragraph

Article in Hereditas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jinxin LiuDepartment of Cardiovascular Surgery, Zhujiang Hospital, Southern Medical University, Gongye Avenue, Haizhu District, Guangdong, 510280, Guangzhou, China.
Bixuan YueDepartment of Cardiovascular Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, China.
Zhiying ShenDepartment of Cardiovascular Surgery, Zhujiang Hospital, Southern Medical University, Gongye Avenue, Haizhu District, Guangdong, 510280, Guangzhou, China.
Bo YangDepartment of Cardiovascular Surgery, Zhujiang Hospital, Southern Medical University, Gongye Avenue, Haizhu District, Guangdong, 510280, Guangzhou, China.
Yuxuan OuDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, China.
Xiaowu WangDepartment of Cardiovascular Surgery, Zhujiang Hospital, Southern Medical University, Gongye Avenue, Haizhu District, Guangdong, 510280, Guangzhou, China. xzwkwxw@smu.edu.cn.

Funding

Guangdong Basic and Applied Basic Research Foundation 2022A1515220045National Natural Science Foundation of China 32271372, 51973090, 31900952
6 · The paper itself

Abstract

purposeThis study aimed to identify the key genes involved in the development of AAA by various bioinformatics methods and explore their potential mechanisms.

methodsFeature genes were screened by machine learning and other methods, and ROC curves were used to verify the model performance in the internal and external validation sets. Cluster analysis and immune infiltration analysis were then performed, and two key genes were finally determined and experimentally verified. GSEA, GO and KEGG analyses were performed.

resultsDEGs were identified by the “limma” package. DENETs were obtained by intersecting DEGs with NETs. GSEA, GO and KEGG analyses revealed that these genes were enriched in pathways such as cell response to lipopolysaccharide and chemokine signaling. Cluster analysis was performed to compare the expression differences of 25 DENETs between clusters, and immune infiltration analysis revealed immune dysregulation in AAA. Then, IL6 and PADI4 were finally identified as DENETs, and further GSEA analysis revealed that they were related to inflammation and immune response. In the wet experiment, IL6 and PADI4 finally showed expression trends consistent with the results of bioinformatics analysis.

conclusionsOur study identified IL6 and PADI4 as hub genes. They play an important role in promoting the development of AAA through inflammation, providing potential molecular targets for further treatment and intervention of AAA in the future.

Indexed as

Aortic Aneurysm, AbdominalComputational BiologyExtracellular TrapsNeutrophilsCluster AnalysisGene Expression ProfilingHumansInterleukin-6Interleukin-6Abdominal aortic aneurysmBioinformatics analysisInflammatory responseNETsPADI4

Identifiers

PMID42010735
PMCPMC13227812

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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 OpenQuestion graph.