Evidence map›Paper›PMID 39762453›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2025

Causal genes identification of giant cell arteritis in CD4+ Memory t cells: an integration of multi-omics and expression quantitative trait locus analysis.

Qiyi Yu, Yifan Wu, Xianda Ma, Yidong Zhang

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Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Qiyi YuCarnegie Mellon University, Pittsburgh, USA. qiyiy@andrew.cmu.edu.
Yifan WuMudi Meng Honors College, China Pharmaceutical University, Nanjing, China.
Xianda MaCarnegie Mellon University, Pittsburgh, USA.
Yidong ZhangQueen's Belfast University, Belfast, Northern Ireland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiant cell arteritis (GCA) is a prevalent artery and is strongly correlated with age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated.

methodThrough single-cell analysis, we focused on the CD4+ Memory T cells in giant cell arteritis. eQTL analysis and mendelian randomization analysis identified the significant genes which have a causal effect on giant cell arteritis risk. CD4+ Memory T cells were subsequently divided into gene-positive and gene-negative groups, then further single-cell analysis was conducted. Mendelian randomization of plasma proteins, blood-urine biomarkers and metabolites were also performed. Eventually, the PMA induced Jurkat cell lines were used for biological experiments to explore the specific functions of significant causal genes in CD4+ Memory T cells.

resultsSimilarity of CD4+ Memory T cells in GCA and old samples were explored. DDIT4 and ARHGAP15 were identified as significant risk genes via mendelian randomization. The CD4+ Memory T cells were then divided into DDIT4 ± or ARHGAP15 ± groups, and further single-cell analysis indicated the differences in aspects involving intercellular communication, functional pathways, protein activity, metabolism and drug sensitivity between positive and negative groups. In vitro experiments, including overexpression and knockdown, demonstrated that DDIT4 leading to a chronic, low-intensity inflammatory state in CD4+ Memory T cells, eventually promoting the development of GCA.

conclusionDDIT4 and ARHGAP15 have significant causal effects on giant cell arteritis risk. Specifically, DDIT4 exhibit pro-inflammatory effects on GCA via promotes chronic, low-intensity inflammatory in CD4+ Memory T cell.

Indexed as

CD4-Positive T-LymphocytesGiant Cell ArteritisMendelian Randomization AnalysisQuantitative Trait LociAgedBiomarkersFemaleHumansJurkat CellsMaleMemory T CellsMultiomicsSingle-Cell AnalysisBiomarkersCD4+ Memory T cellsGiant cell arteritisMendelian randomizationMulti-omicsSingle-cell

Identifiers

PMID39762453
PMCPMC11703992

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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.