{"title":"Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers.","authors":"Budhadev Baral, Vaishali Saini, Siddharth Singh, Tarun Prakash Verma, Deb Kumar Rath, Jyotirmayee Bahinipati, Priyadarsini Panda, Shubhransu Patro, Namrata Misra, Manas Ranjan Behera, Kartik Muduli, Hamendra Singh Parmar, Ajay Kumar Meena, Rajesh Kumar, Sonali Agarwal, Soumya R Mohapatra, Nirmal Kumar Mohakud, Hem Chandra Jha","doi":"10.1021/acs.jproteome.4c00996","DOIUrl":null,"url":null,"abstract":"<p><p>In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterations associated with different SAR-CoV-2 variants of concern (VOCs), such as WT, α, β, γ, and δ, as well as their impact on COVID-19 severity. Across the first and second waves in India, a machine learning approach was used in 3134 COVID-19 patients, and nine critical biochemical and hematological parameters, namely, C-reactive protein (CRP), D-dimer, ferritin, neutrophil, WBC count, lymphocyte, urea, creatine, and lactate dehydrogenase (LDH), were identified. Furthermore, through metabolic and lipidomic profiles of lung and colon cells transfected with spike VOCs, notable dysregulation was exhibited by the delta variant correlated with characteristic pathways such as catecholamine and thyroid hormone synthesis. A corroborating meta-analysis also highlighted the involvement of urea and amino acid metabolism pathways. Overall, our study provides crucial insights into metabolic and biochemical disruptions caused by VOCs, contributing to a better understanding of COVID-19 pathogenesis and the development of targeted interventions.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Proteome Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acs.jproteome.4c00996","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterations associated with different SAR-CoV-2 variants of concern (VOCs), such as WT, α, β, γ, and δ, as well as their impact on COVID-19 severity. Across the first and second waves in India, a machine learning approach was used in 3134 COVID-19 patients, and nine critical biochemical and hematological parameters, namely, C-reactive protein (CRP), D-dimer, ferritin, neutrophil, WBC count, lymphocyte, urea, creatine, and lactate dehydrogenase (LDH), were identified. Furthermore, through metabolic and lipidomic profiles of lung and colon cells transfected with spike VOCs, notable dysregulation was exhibited by the delta variant correlated with characteristic pathways such as catecholamine and thyroid hormone synthesis. A corroborating meta-analysis also highlighted the involvement of urea and amino acid metabolism pathways. Overall, our study provides crucial insights into metabolic and biochemical disruptions caused by VOCs, contributing to a better understanding of COVID-19 pathogenesis and the development of targeted interventions.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".