Temporal changes in plasma metabolic signatures to predict immune response of antiretroviral therapy among people living with HIV

Author:

Li Junnan123,Lv Jiali45,Yu Fengting16,Zhang Yu1,Wang Yuqi1,Yan Liting6,Xiao Qing6,Li Qun6,Wang Cheng45,Wang Xi123,Hou Yan78,Zhang Fujie6,Zhang Tao45

Affiliation:

1. National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital Capital Medical University Beijing China

2. Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital Capital Medical University Beijing China

3. Beijing Institute of Infectious Disease Beijing China

4. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine Shandong University Jinan Shandong China

5. Institute for Medical Dataology, Cheeloo College of Medicine Shandong University Jinan China

6. Clinical Center for HIV/AIDS Capital Medical University Beijing China

7. Department of Biostatistics School of Public Health, Peking University Beijing China

8. Clinical Research Center Peking University Beijing China

Abstract

AbstractAntiretroviral therapy (ART) is an effective treatment for people living with HIV (PLHIVs), requiring an extended period to achieve immune reconstitution. Metabolic alterations induced by ART are crucial for predicting long‐term therapeutic responses, yet comprehensive investigation through large‐scale clinical studies is still lacking. Here, we collected plasma samples from 108 PLHIVs to the untargeted plasma metabolomics study, based on the longitudinal metabolomics design. Cross‐sectional analyzes were performed at pre‐ and post‐ART to explore the metabolic transformation induced by the therapy. Subsequently, delta values between pre‐ and post‐ART measurements were calculated to quantify metabolic alterations. Then, the optimal set of metabolic traits and clinical signatures were further identified and applied to construct random forest model for predicting the future therapeutic responses to ART. We found distinct ART‐induced metabolic transformation among PLHIVs. After confounder‐adjustments, five metabolites exhibited significant associations with future immune response: tetracosatetraenoic acid (24:4n‐6) (pre‐ART) (odds ratio [OR]: 0.978, 95% confidence interval [CI]: 0.955~0.997), 1‐(3,4‐dihydroxyphenyl)−5‐hydroxy‐3‐decanone (pre‐ART) (OR: 1.298, 95% CI: 1.061~1.727), beta‐PC‐M6 (change) (OR: 0.967, 95% CI: 0.938~0.993), d‐Galactaro‐1,4‐lactone (change) (OR: 1.032, 95% CI: 1.007~1.063), Annuionone C (change) (OR: 1.100, 95% CI: 1.030~1.190). The addition of plasma metabolites to clinical markers accurately predicted immune response to ART with an area under curve of 0.91. Notably, most disrupted metabolites were significantly correlated with blood lipids, suggesting that metabolic transformation might contribute to dyslipidemia among PLHIVs. This study highlights the distinct metabolic transformation post‐ART among PLHIVs and reveals the potential role of metabolic transformation as key determinants of ART efficacy.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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