Genome-scale metabolic models for natural and long-term drug-induced viral control in HIV infection.

ABSTRACT: Genome-scale metabolic models (GSMMs) can provide novel insights into metabolic reprogramming during disease progression and therapeutic interventions. We developed a context-specific system-level GSMM of people living with HIV (PLWH) using global RNA sequencing data from PBMCs with suppressive viremia either by natural (elite controllers, PLWH_EC) or drug-induced (PLWH_ART) control. This GSMM was compared with HIV-negative controls (HC) to provide a comprehensive systems-level metabo-transcriptomic characterization. Transcriptomic analysis identified up-regulation of oxidative phosphorylation as a characteristic of PLWH_ART, differentiating them from PLWH_EC with dysregulated complexes I, III, and IV. The flux balance analysis identified altered flu

SUBMITTER: Ambikan AT 

PROVIDER: S-EPMC9095731 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature