DBI Mediates the Progression of Ankylosing Spondylitis by Regulating CD56dim NK Cells Cytotoxicity Function.

IF 2.5 4区 医学 Q3 CELL BIOLOGY
Analytical Cellular Pathology Pub Date : 2025-11-28 eCollection Date: 2025-01-01 DOI:10.1155/ancp/3279688
Runhan Zhao, Yanran Huang, Xiao Qu, Jun Zhang, Dagang Tang, Zhou Xie, Xiaoji Luo, Zefang Li, Ningdao Li
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引用次数: 0

Abstract

Background: Ankylosing spondylitis (AS) is an autoimmune disease characterized by low back stiffness and pain, with no cure and a dearth of therapeutic targets.

Methods: Identifying novel AS targets from a list of 5884 druggable genes using weighted gene coexpression network analysis (WGCNA), machine learning, and Mendelian randomization analysis. Investigating the biological functions of the targets through comprehensive bio-functional analyses; exploring immune-related functions of the targets based on single-cell analyses; developing a reliable AS risk prediction model based on the identified targets and clinical data; conducting target drug prediction and molecular docking based on the Enrichr database and the LeDock software.

Results: A novel AS target, diazepam binding inhibitor (DBI), was identified from among 5884 druggable genes. Bio-functional enrichment analysis indicated that this gene plays a key role in AS by modulating lipid metabolism disorders. Furthermore, single-cell analysis revealed that the gene likely influences the onset or progression of AS by impairing the cytotoxic function of CD56dim natural killer (NK) cells. Finally, a reliable AS risk prediction model was developed using DBI and clinical data, and several potential therapeutic compounds were identified.

Conclusion: In this study, a novel therapeutic target for AS was identified using multiple algorithms, and it was found to be involved in lipid metabolism and cytotoxic function of CD56dim NK cells. Additionally, a reliable prediction model was developed, and potential therapeutic compounds were identified. In conclusion, this study presents a novel approach for AS treatment.

DBI通过调节CD56dim NK细胞的细胞毒性功能介导强直性脊柱炎的进展。
背景:强直性脊柱炎(AS)是一种自身免疫性疾病,其特征是腰背僵硬和疼痛,无法治愈,缺乏治疗靶点。方法:利用加权基因共表达网络分析(WGCNA)、机器学习和孟德尔随机化分析,从5884个可用药基因中鉴定出新的AS靶点。通过综合生物功能分析研究靶点的生物学功能;基于单细胞分析探索靶点的免疫相关功能;基于确定的靶点和临床数据,建立可靠的AS风险预测模型;基于enrichment数据库和LeDock软件进行靶标药物预测和分子对接。结果:从5884个可用药基因中鉴定出一个新的AS靶点——地西泮结合抑制剂(DBI)。生物功能富集分析表明该基因通过调节脂质代谢紊乱在AS中起关键作用。此外,单细胞分析显示,该基因可能通过损害CD56dim自然杀伤(NK)细胞的细胞毒功能来影响AS的发生或进展。最后,利用DBI和临床数据建立了可靠的AS风险预测模型,并确定了几种潜在的治疗化合物。结论:本研究通过多种算法发现了一种新的AS治疗靶点,该靶点与CD56dim NK细胞的脂质代谢和细胞毒功能有关。此外,建立了一个可靠的预测模型,并确定了潜在的治疗化合物。总之,本研究提出了一种治疗AS的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Cellular Pathology
Analytical Cellular Pathology ONCOLOGY-CELL BIOLOGY
CiteScore
4.90
自引率
3.10%
发文量
70
审稿时长
16 weeks
期刊介绍: Analytical Cellular Pathology is a peer-reviewed, Open Access journal that provides a forum for scientists, medical practitioners and pathologists working in the area of cellular pathology. The journal publishes original research articles, review articles, and clinical studies related to cytology, carcinogenesis, cell receptors, biomarkers, diagnostic pathology, immunopathology, and hematology.
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