健康外周血中 CD4 表达 T 细胞丰度的转录组特征可预测 HIV-1 强烈的抗逆转录病毒治疗反应:一项回顾性和概念验证研究

Youdinghuan Chen
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引用次数: 0

摘要

表达 CD4 的 T 细胞(CD4T)在维持哺乳动物免疫系统正常功能和全身健康方面发挥着至关重要的作用。患病的人,如感染了人类免疫缺陷病毒 I 型(HIV-1)的人,CD4T 会逐渐消耗,最终导致无法治愈的病症,如果不及时治疗,最终会导致死亡。尽管人们对 CD4T 介导的免疫作用了解甚多,但对 CD4T 相关转录组模式的了解仍不全面。这项概念验证研究旨在通过最小绝对收缩和选择操作器(LASSO)回归建模,在 340 份健康外周血样本中确定 CD4T 丰度的全转录组基因特征。优化后的 LASSO 模型具有计算稳健性(十倍平均皮尔森 r = 0.89)和生物学相关性,四个重要的基因本体术语(所有比值比 [OR] 均≥ 4.5,误发现率≤0.05)证明了这一点。随后,在一个由 24 名接受抗逆转录病毒疗法的 HIV-1 感染者组成的独立队列中,基因特征与抗逆转录病毒治疗前(OR = 13.6,P < 0.05)和调整受试者年龄、性别和种族后(OR = 14.4,P < 0.05)的强抗逆转录病毒反应之间存在显著的正相关。综上所述,与 CD4T 丰度相关的基因表达模式是可预测的、可推广的、与生物学相关的,它为 CD4T 丰度的重要性提供了新的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transcriptomic signature of CD4-expressing T-cell abundance developed in healthy peripheral blood predicts strong anti-retroviral therapeutic response in HIV-1: A retrospective and proof-of-concept study
CD4-expressing T-cells (CD4Ts) play a crucial role in maintaining the normal functioning of the mammalian immune system and overall systemic health. Diseased individuals, such as those infected with the human immunodeficiency virus type I (HIV-1), experience progressive and eventual depletion of CD4T leading to uncurable conditions and ultimate death if left untreated. Although much is known about the role of CD4T-mediated immunity, the understanding of CD4T-related transcriptomic patterns remains incomplete. This proof-of-concept study aims to identify a transcriptome-wide gene signature for CD4T abundance by Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling in 340 healthy peripheral blood samples. The optimized LASSO model demonstrated computational robustness (tenfold average Pearson’s r = 0.89) and biological relevance evidenced by four significant Gene Ontology terms (all odds ratio [OR] ≥ 4.5 and false discovery rate ≤0.05). Subsequently, in an independent cohort with 24 HIV-1-infected men who received anti-retroviral therapies, there is a significant, positive association between the gene signature and a strong anti-retroviral response before (OR = 13.6, P < 0.05) and after adjusting for subject age, sex, and race (OR = 14.4, P < 0.05). Taken together, the gene expression pattern associated with CD4T abundance is predictable, generalizable, and biologically relevant, shedding new light on the importance of CD4T abundance.
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