Babu Hemalatha, Sperk Maike, Ambikan Anoop T, Rachel Gladys, Viswanathan Vinod Kumar, Tripathy Srikanth P, Nowak Piotr, Hanna Luke Elizabeth, Neogi Ujjwal
Department of HIV/AIDS, National Institute for Research in Tuberculosis, ICMR, Chennai 600031, India.
Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 14152 Huddinge, Sweden.
Metabolites. 2019 Sep 30;9(10):210. doi: 10.3390/metabo9100210.
Targeted metabolomics studies reported metabolic abnormalities in both treated and untreated people living with human immunodeficiency virus (HIV) (PLHIV). The present study aimed to understand the plasma metabolomic changes and predicted the risk of accelerated aging in PLHIV on long-term suppressive antiretroviral therapy (ART) in a case-control study setting and its association with the plasma proteomics biomarkers of inflammation and neurological defects. Plasma samples were obtained from PLHIV on successful long-term ART for more than five years ( = 22) and matched HIV-negative healthy individuals ( = 22, HC herein). Untargeted metabolite profiling was carried out using ultra-high-performance liquid chromatography/mass spectrometry/mass spectrometry (UHPLC/MS/MS). Plasma proteomics profiling was performed using proximity extension assay targeting 184 plasma proteins. A total of 250 metabolites differed significantly ( < 0.05, < 0.1) between PLHIV and HC. Plasma levels of several essential amino acids except for histidine, branched-chain amino acids, and aromatic amino acids (phenylalanine, tyrosine, tryptophan) were significantly lower in PLHIV compared to HC. Machine-learning prediction of metabolite changes indicated a higher risk of inflammatory and neurological diseases in PLHIV. Metabolic abnormalities were observed in amino-acid levels, energetics, and phospholipids and complex lipids, which may reflect known differences in lipoprotein levels in PLHIV that can resemble metabolic syndrome (MetS).
靶向代谢组学研究报告了接受治疗和未接受治疗的人类免疫缺陷病毒(HIV)感染者(PLHIV)存在代谢异常。本病例对照研究旨在了解长期接受抑制性抗逆转录病毒疗法(ART)的PLHIV的血浆代谢组学变化,并预测其加速衰老的风险,以及其与炎症和神经缺陷的血浆蛋白质组学生物标志物的关联。从成功接受长期ART治疗超过五年的PLHIV中获取血浆样本(n = 22),并与HIV阴性健康个体(n = 22,以下简称HC)进行匹配。使用超高效液相色谱/质谱/质谱(UHPLC/MS/MS)进行非靶向代谢物谱分析。使用针对184种血浆蛋白的邻位延伸分析进行血浆蛋白质组学分析。PLHIV和HC之间共有250种代谢物存在显著差异(P < 0.05,FDR < 0.1)。与HC相比,PLHIV中除组氨酸、支链氨基酸和芳香族氨基酸(苯丙氨酸、酪氨酸、色氨酸)外的几种必需氨基酸的血浆水平显著降低。代谢物变化的机器学习预测表明PLHIV发生炎症和神经疾病的风险更高。在氨基酸水平、能量代谢以及磷脂和复合脂质方面观察到代谢异常,这可能反映了PLHIV中已知的脂蛋白水平差异,类似于代谢综合征(MetS)。