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Dry and wet experiments reveal diagnostic clustering and immune landscapes of cuproptosis patterns in patients with ankylosing spondylitis

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机构: [1]The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510120, China [2]The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China [3]Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou 215007, China [4]The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China [5]The Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou 510130, China [6]The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China [7]Shanghai 9th Peoples Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200011, China [8]Qianxinan Autonomous Prefecture Hospital of TCM, Xingyi 562400, China i Affiliated Huadu Hospital, Southern Medical University, Guangzhou 510800, China
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关键词: Bioinformatics Cuproptosis Ankylosing spondylitis Subtype classification Experimental validation

摘要:
Cuproptosis is a new manner of mitochondrial cell death induced by copper. There is evidence that serum copper has a crucial impact on ankylosing spondylitis (AS) by copper-induced inflammatory response. However, the molecular mechanisms of cuproptosis modulators in AS remain unknown. We aimed to use a bioinformatics-based method to comprehensively investigate cuproptosis-related subtype identification and immune microenvironment infiltration of AS. Additionally, we further verified the results by in vitro experiments, in which peripheral blood and fibroblast cells from AS patients were used to evaluate the functions of significant cuproptosis modulators on AS. Finally, eight significant cuproptosis modulators were identified by analysis of differences between controls and AS cases from GSE73754 dataset. Eight prognostic cuproptosis modulators (LIPT1, DLD, PDHA1, PDHB, SLC31A1, ATP7A, MTF1, CDKN2A) were identified using a random forest model for prediction of AS risk. A nomogram model of the 8 prognostic cuproptosis modulators was then constructed; the model could be beneficial in clinical settings, as indicated by decision curve analysis. Consensus clustering analysis was used to divide AS patients into two cuproptosis subtypes (clusterA & B) according to significant cuproptosis modulators. The cuproptosis score of each sample was calculated by principal component analysis to quantify cuproptosis subtypes. The cuproptosis scores were higher in clusterB than in clusterA. Additionally, cases in clusterA were closely associated with the immunity of activated B cells, Activated CD4 T cell, Type17 T helper cell and Type2 T helper cell, while cases in clusterB were linked to Mast cell, Neutrophil, Plasmacytoid dendritic cell immunity, indicating that clusterB may be more correlated with AS. Notably, key cuproptosis genes including ATP7A, MTF1, SLC31A1 detected by RT-qPCR with peripheral blood exhibited significantly higher expression levels in AS cases than controls; LIPT1 showed the opposite results; High MTF1 expression is correlated with increased osteogenic capacity. In general, this study of cuproptosis patterns may provide promising biomarkers and immunotherapeutic strategies for future AS treatment.Copyright © 2023 Elsevier B.V. All rights reserved.

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出版当年[2023]版:
大类 | 2 区 医学
小类 | 2 区 免疫学 2 区 药学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 药学 3 区 免疫学
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出版当年[2022]版:
Q1 PHARMACOLOGY & PHARMACY Q2 IMMUNOLOGY
最新[2023]版:
Q1 PHARMACOLOGY & PHARMACY Q2 IMMUNOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510120, China
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通讯机构: [4]The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China [*1]Department of Spinal Surgery, The Second Affiliated Hospital of Guangzhou Medical University, 250 Changgang East Road, Haizhu District, Guangzhou, Guangdong 510260, China.
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