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ArticleMolecular biology reports2024

ScRNA-seq and bulk RNA-seq identified NUPR1 as novel biomarkers related to CD4 + T cells infiltration for abdominal aortic aneurysm.

Zhihao Zhou, Tang Deng, Suling Liu, Lin Huang, Kangjie Wang, Qinghui Kan, Rongzhou He, Chen Yao

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In one paragraph

Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhihao Zhou *Division of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China.
Tang Deng *Division of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China.
Suling Liu *Department of Rheumatology and Immunology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China.
Lin HuangDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China.
Kangjie WangDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China.
Qinghui KanDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China.
Rongzhou HeDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China. herzh5@mail2.sysu.edu.cn.
Chen YaoDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510800, China. yaochen@mail.sysu.edu.cn.

Funding

China Postdoctoral Science Foundation 2022M723645Guangdong Basic and Applied Basic Research Foundation of provincial and municipal joint fund 2023A1515111014National Natural Science Foundation of China 82070495Natural Science Foundation of Guangdong Province 2023A1515011602
6 · The paper itself

Abstract

backgroundDeveloping a molecular signature associated with CD4 + T cell infiltration is essential for identifying biomarkers in abdominal aortic aneurysms (AAA). Establishing such a signature is vital for improving diagnostic accuracy and therapeutic strategies for AAA. This study focuses on CD4 + T cells, which are pivotal in the immune microenvironment of AAA, to pinpoint key targets. METHODS AND

resultsWe identified CD4 + T cell-related biomarkers in AAA using bulk and single-cell RNA sequencing data from the GEO database. We employed CIBERSORT to assess immune cell infiltration and applied weighted gene co-expression network analysis and differential expression analyses to pinpoint key genes. A nomogram and related score were developed based on these genes. Single-cell RNA sequencing further analyzed their expression across cell types, and KEGG/GO analyses were conducted for candidate genes. Four genes (NUPR1, CCL4L2, CCL3L3, MMP9) were identified finally. Validation via qPCR and immunohistochemistry showed NUPR1 downregulation in aneurysms and an inverse relationship with CD4 + T cells infiltration. Immunofluorescence results indicated NUPR1 was mainly expressed in the cytoplasm of vascular smooth muscle cells (VSMCs). After VSMCs-specific overexpression of NUPR1 via adeno-associated virus, the AAA diameter decreased, while treatment with the NUPR1 nuclear translocation inhibitor ZZW-115 hydrochloride had no effect on AAA size. Overexpression of NUPR1 in VSMCs suppresses the migration of CD4 + T cells.

conclusionThe four-gene signature accurately predicts CD4 + T cell infiltration in AAA patients and may serve as a clinical index. NUPR1 could be a therapeutic target for the interaction between CD4 + T cells and AAA.

Indexed as

Aortic Aneurysm, AbdominalBiomarkersCD4-Positive T-LymphocytesAgedAnimalsBasic Helix-Loop-Helix ProteinsFemaleGene Expression ProfilingHumansMaleMuscle, Smooth, VascularMyocytes, Smooth MuscleNeoplasm ProteinsRNA-SeqSequence Analysis, RNASingle-Cell AnalysisBasic Helix-Loop-Helix ProteinsBiomarkersNeoplasm ProteinsNUPR1 protein, humanAbdominal aortic aneurysmCD4 + T cellsDifferentially expressed genesSingle-cell sequencing

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