{"title":"The Divergent Metabolomic Landscape of COVID-19 and Community-Acquired Pneumonia.","authors":"Vassiliki Rapti, Spyros Foutadakis, Nikolaos Kakavoulis, Lamprini Skorda, Evangelos J Giamarellos-Bourboulis, Garyfallia Poulakou","doi":"10.1097/CCE.0000000000001473","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To map and compare the serum metabolome of hospitalized patients with COVID-19 or community-acquired pneumonia (CAP).</p><p><strong>Design: </strong>Observational matched cohort study using an untargeted metabolomics approach.</p><p><strong>Setting: </strong>Serum samples were obtained at the time of hospital admission as part of two clinical trials conducted in hospitalized patients.</p><p><strong>Patients: </strong>A matched cohort design was applied, including patients with COVID-19 and CAP, matched according to age, sex, and Charlson Comorbidity Index. The patient samples were obtained from two clinical studies, namely the suPAR-guided Anakinra Treatment for Validation of the Risk and Management of Respiratory Failure by COVID-19 (SAVE) trial (ClinicalTrials.gov identifier: NCT04357366; European Union Drug Regulating Authorities (EudraCT) number: 2020-001466-11) and the A randomized clinical trial of oral Clarithromycin in Community-acquired pneumonia to attenuatE inflammatory responseS and improve outcomeS (ACCESS trial) (ClinicalTrials.gov identifier: NCT04724044; EudraCT number: 2020-004452-15). The total study population comprised 92 patients.</p><p><strong>Interventions: </strong>None.</p><p><strong>Measurements and main results: </strong>A total of 3555 metabolites were detected, and differential analysis recovered more than 70% of the metabolome as altered between conditions. Metabolite pathway analysis highlighted pathways related to the citric acid cycle and arachidonic metabolism as activated in CAP, while COVID-19 was mainly driven by alterations in amino acid metabolism and metabolites related to mitochondrial function.</p><p><strong>Conclusions: </strong>Extensive divergence was observed in the metabolomic landscape of patients with COVID-19 or CAP, underscoring the disease-specific metabolic adaptations and providing potential targets for diagnostic and therapeutic development.</p>","PeriodicalId":93957,"journal":{"name":"Critical care explorations","volume":"8 9","pages":"e1473"},"PeriodicalIF":2.9000,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13549596/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical care explorations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/CCE.0000000000001473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To map and compare the serum metabolome of hospitalized patients with COVID-19 or community-acquired pneumonia (CAP).
Design: Observational matched cohort study using an untargeted metabolomics approach.
Setting: Serum samples were obtained at the time of hospital admission as part of two clinical trials conducted in hospitalized patients.
Patients: A matched cohort design was applied, including patients with COVID-19 and CAP, matched according to age, sex, and Charlson Comorbidity Index. The patient samples were obtained from two clinical studies, namely the suPAR-guided Anakinra Treatment for Validation of the Risk and Management of Respiratory Failure by COVID-19 (SAVE) trial (ClinicalTrials.gov identifier: NCT04357366; European Union Drug Regulating Authorities (EudraCT) number: 2020-001466-11) and the A randomized clinical trial of oral Clarithromycin in Community-acquired pneumonia to attenuatE inflammatory responseS and improve outcomeS (ACCESS trial) (ClinicalTrials.gov identifier: NCT04724044; EudraCT number: 2020-004452-15). The total study population comprised 92 patients.
Interventions: None.
Measurements and main results: A total of 3555 metabolites were detected, and differential analysis recovered more than 70% of the metabolome as altered between conditions. Metabolite pathway analysis highlighted pathways related to the citric acid cycle and arachidonic metabolism as activated in CAP, while COVID-19 was mainly driven by alterations in amino acid metabolism and metabolites related to mitochondrial function.
Conclusions: Extensive divergence was observed in the metabolomic landscape of patients with COVID-19 or CAP, underscoring the disease-specific metabolic adaptations and providing potential targets for diagnostic and therapeutic development.