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People living with HIV (PLWH) require life-long anti-retroviral treatment and often present with comorbidities such as metabolic syndrome (MetS). Systematic lipidomic characterization and its association with the metabolism are currently missing. We included 100 PLWH with MetS and 100 without MetS from the Copenhagen Comorbidity in HIV Infection (COCOMO) cohort to examine whether and how lipidome profiles are associated with MetS in PLWH. We combined several standard biostatistical, machine learning, and network analysis techniques to investigate the lipidome systematically and comprehensively and its association with clinical parameters. Additionally, we generated weighted lipid-metabolite networks to understand the relationship between lipidomic profiles with those metabolites associated with MetS in PLWH. The lipidomic dataset consisted of 917 lipid species including 602 glycerolipids, 228 glycerophospholipids, 61 sphingolipids, and 26 steroids. With a consensus approach using four different statistical and machine learning methods, we observed 13 differentially abundant lipids between PLWH without MetS and PLWH with MetS, which mainly belongs to diacylglyceride (DAG, n = 2) and triacylglyceride (TAG, n = 11). The comprehensive network integration of the lipidomics and metabolomics data suggested interactions between specific glycerolipids' structural composition patterns and key metabolites involved in glutamate metabolism. Further integration of the clinical data with metabolomics and lipidomics resulted in the association of visceral adipose tissue (VAT) and exposure to earlier generations of antiretroviral therapy (ART). Our integrative omics data indicated disruption of glutamate and fatty acid metabolism, suggesting their involvement in the pathogenesis of PLWH with MetS. Alterations in the lipid homeostasis and glutaminolysis need clinical interventions to prevent accelerated aging in PLWH with MetS.

People living with HIV (PLWH) require life-long anti-retroviral treatment and often present with comorbidities such as metabolic syndrome (MetS). Systematic lipidomic characterization and its association with the metabolism are currently missing. We included 100 PLWH with MetS and 100 without MetS from the Copenhagen Comorbidity in HIV Infection (COCOMO) cohort to examine whether and how lipidome profiles are associated with MetS in PLWH. We combined several standard biostatistical, machine learning, and network analysis techniques to investigate the lipidome systematically and comprehensively and its association with clinical parameters. Additionally, we generated weighted lipid-metabolite networks to understand the relationship between lipidomic profiles with those metabolites associated with MetS in PLWH. The lipidomic dataset consisted of 917 lipid species including 602 glycerolipids, 228 glycerophospholipids, 61 sphingolipids, and 26 steroids. With a consensus approach using four different statistical and machine learning methods, we observed 13 differentially abundant lipids between PLWH without MetS and PLWH with MetS, which mainly belongs to diacylglyceride (DAG, n = 2) and triacylglyceride (TAG, n = 11). The comprehensive network integration of the lipidomics and metabolomics data suggested interactions between specific glycerolipids’ structural composition patterns and key metabolites involved in glutamate metabolism. Further integration of the clinical data with metabolomics and lipidomics resulted in the association of visceral adipose tissue (VAT) and exposure to earlier generations of antiretroviral therapy (ART). Our integrative omics data indicated disruption of glutamate and fatty acid metabolism, suggesting their involvement in the pathogenesis of PLWH with MetS. Alterations in the lipid homeostasis and glutaminolysis need clinical interventions to prevent accelerated aging in PLWH with MetS.

Background Pulmonary artery enlargement is a marker of pulmonary hypertension. We aimed to determine the proportion with pulmonary artery enlargement among well-treated persons with human immunodeficiency virus HIV (PWH) and uninfected controls. Methods PWH with a chest computed tomography were included from the ongoing Copenhagen Comorbidity in HIV Infection (COCOMO) study. Age and sex-matched uninfected controls were recruited from the Copenhagen General Population Study. Pulmonary artery enlargement was defined as a ratio of >1 between the diameter of the main pulmonary artery (at the level of its bifurcation) and the diameter of the ascending aorta. Results In total, 900 PWH were included, and 44 (5%) had a pulmonary artery–aorta ratio (PA:A) >1. After adjustment for age, sex, and body mass index, obesity (adjusted odds ratio, 4.33; 95% confidence interval, 1.76–10.65; P = .001) and injection drug use (IDU) (4.90; 1.00–18.46; P = .03) were associated with higher odds of having a PA:A >1, and pulmonary indices and smoking status were not. HIV seropositivity was borderline associated with a PA:A >1 (adjusted odds ratio, 1.89; 95% confidence interval, .92–3.85; P = .08). Conclusions A PA:A >1 was common in PWH. Obesity and IDU were independently associated with this finding and HIV serostatus was borderline associated with it, but HIV-related factors were not. Increased awareness may be appropriate in obese PWH and those with IDU.

Moderate-to-severe hepatic steatosis in people living with human immunodeficiency virus (HIV) without viral hepatitis or excessive alcohol intake was associated with cumulative exposure to stavudine, elvitegravir, and raltegravir. Prospective trials are required to establish a causal association. Clinical Trials Registration. NCT02382822.