Alterations of lipid-related genes during anti-tuberculosis treatment: insights into host immune responses and potential transcriptional biomarkers

免疫系统 转录组 肺结核 基因 生物标志物 基因表达 基因签名 脂质代谢 医学 免疫学 结核分枝杆菌 计算生物学 生物 生物信息学 遗传学 内科学 病理
作者
Nguyen Ky Phat,Nguyen Tran Nam Tien,Nguyen Ky Anh,Nguyen Thi Hai Yen,Yoon Ah Lee,Hoang Kim Tu Trinh,Kieu-Minh Le,Sangzin Ahn,Yong‐Soon Cho,Seongoh Park,Dong‐Hyun Kim,Nguyen Phuoc Long,Jae‐Gook Shin
出处
期刊:Frontiers in Immunology [Frontiers Media SA]
卷期号:14 被引量:2
标识
DOI:10.3389/fimmu.2023.1210372
摘要

Background The optimal diagnosis and treatment of tuberculosis (TB) are challenging due to underdiagnosis and inadequate treatment monitoring. Lipid-related genes are crucial components of the host immune response in TB. However, their dynamic expression and potential usefulness for monitoring response to anti-TB treatment are unclear. Methodology In the present study, we used a targeted, knowledge-based approach to investigate the expression of lipid-related genes during anti-TB treatment and their potential use as biomarkers of treatment response. Results and discussion The expression levels of 10 genes ( ARPC5 , ACSL4 , PLD4 , LIPA , CHMP2B , RAB5A , GABARAPL2 , PLA2G4A , MBOAT2 , and MBOAT1 ) were significantly altered during standard anti-TB treatment. We evaluated the potential usefulness of this 10-lipid-gene signature for TB diagnosis and treatment monitoring in various clinical scenarios across multiple populations. We also compared this signature with other transcriptomic signatures. The 10-lipid-gene signature could distinguish patients with TB from those with latent tuberculosis infection and non-TB controls (area under the receiver operating characteristic curve > 0.7 for most cases); it could also be useful for monitoring response to anti-TB treatment. Although the performance of the new signature was not better than that of previous signatures (i.e., RISK6, Sambarey10, Long10), our results suggest the usefulness of metabolism-centric biomarkers Conclusions Lipid-related genes play significant roles in TB pathophysiology and host immune responses. Furthermore, transcriptomic signatures related to the immune response and lipid-related gene may be useful for TB diagnosis and treatment monitoring.
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