biostudies-literatureWang KInnovative Medicines InitiativeUniversity of AlbertaNorthern Alberta Clinical Trials and Research CentreEuropean CommissionCanadian Institutes of Health ResearchCanada Research ChairsEuropean Federation of Pharmaceutical Industries and AssociationsNEI NIH HHSHorizon 2020 Framework ProgrammeT. Von Zastrow FoundationFundació la Marató de TV3Österreichischen Akademie der WissenschaftenMetabolomics Innovation Centre101254https://www.ebi.ac.uk/biostudies/studies/S-EPMC10694626biostudies-literatureUnknown4(11)The post-acute sequelae of COVID-19 (PASC), also known as long COVID, is often associated with debilitating symptoms and adverse multisystem consequences. We obtain plasma samples from 117 individuals during and 6 months following their acute phase of infection to comprehensively profile and assess changes in cytokines, proteome, and metabolome. Network analysis reveals sustained inflammatory response, platelet degranulation, and cellular activation during convalescence accompanied by dysregulation in arginine biosynthesis, methionine metabolism, taurine metabolism, and tricarboxylic acid (TCA) cycle processes. Furthermore, we develop a prognostic model composed of 20 molecules involved in regulating T cell exhaustion and energy metabolism that can reliably predict adverse clinical outcomeCell reports. MedicineSequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID.PMC10694626F18-01336101005026F20–02343F20-02015P30 EY003039RES50821R01 EY025383202125-31Gordon PMKSrinivasan KPrasad VSligl WWishart DSKhoramjoo MPenninger JMWang KBorchers CHJackson DGrant MBMandal ROudit GYfalseSequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID.The post-acute sequelae of COVID-19 (PASC), also known as long COVID, is often associated with debilitating symptoms and adverse multisystem consequences. We obtain plasma samples from 117 individuals during and 6 months following their acute phase of infection to comprehensively profile and assess changes in cytokines, proteome, and metabolome. Network analysis reveals sustained inflammatory response, platelet degranulation, and cellular activation during convalescence accompanied by dysregulation in arginine biosynthesis, methionine metabolism, taurine metabolism, and tricarboxylic acid (TCA) cycle processes. Furthermore, we develop a prognostic model composed of 20 molecules involved in regulating T cell exhaustion and energy metabolism that can reliably predict adverse clinical outcome2023-01-01T00:00:00Z2023 Nov2026-07-14T16:38:06.244Z2026-06-21T03:07:31.211ZS-EPMC106946263789048710.1016/j.xcrm.2023.101254