Giron Leila B, Pasternak Alexander O, Abdel-Mohsen Mohamed
Northwestern University, Chicago, Illinois, USA.
Amsterdam UMC, University of Amsterdam, Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam, Netherlands.
Curr Opin HIV AIDS. 2025 Jan 1;20(1):61-69. doi: 10.1097/COH.0000000000000889. Epub 2024 Sep 25.
We focus on the different classes of biological molecules measurable in easily accessible bodily fluids that have the potential to serve as biomarkers for the HIV post-treatment controller (PTC) phenotype and/or the timing of viral rebound after stopping antiretroviral therapy (ART).
Various viral components and host factors measurable in body fluids can play crucial roles in understanding and predicting the PTC phenotype. We review recent findings linking viral components, the quantitative and qualitative features of antibodies (including autologous HIV-specific antibodies), markers of inflammation and tissue damage, other host proteins (including hormones such as sex hormones), as well as metabolites, extracellular vesicles, and cell-free DNA to HIV control post-ART interruption. Several of these molecules can or have the potential to predict the time and probability of viral rebound after stopping ART and are biologically active molecules that can directly or indirectly (by modulating immune pressures) impact the size and activity of HIV reservoirs during and post-ART interruption.
A comprehensive model combining multiple markers is needed to predict the PTC phenotype. This model can be leveraged to predict and understand the PTC phenotype, which can guide novel curative interventions to replicate this phenotype in post-treatment non-controllers.
我们聚焦于可在易于获取的体液中检测到的不同种类生物分子,这些分子有可能作为HIV治疗后病毒控制者(PTC)表型和/或停止抗逆转录病毒治疗(ART)后病毒反弹时间的生物标志物。
体液中可检测到的各种病毒成分和宿主因素在理解和预测PTC表型方面可发挥关键作用。我们综述了近期的研究发现,这些发现将病毒成分、抗体的定量和定性特征(包括自体HIV特异性抗体)、炎症和组织损伤标志物、其他宿主蛋白(包括性激素等激素),以及代谢物、细胞外囊泡和游离DNA与ART中断后的HIV控制联系起来。其中一些分子能够或有可能预测停止ART后病毒反弹的时间和概率,并且是具有生物活性的分子,可在ART期间及中断后直接或间接(通过调节免疫压力)影响HIV储存库的大小和活性。
需要一个结合多种标志物的综合模型来预测PTC表型。该模型可用于预测和理解PTC表型,从而指导新型治愈性干预措施,以使治疗后未实现病毒控制者复制这一表型。