Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers

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.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-05-19
DOI
https://doi.org/10.1021/acs.jproteome.4c00996
Citations
2
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
2.79

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article

Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers

Sonali Agarwal, Hem Chandra Jha, Shubhransu Patro, Budhadev Baral et al.
2 citations
Journal of Proteome Research
COVID-19 Clinical Research Studies
2.79
article

Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers

Sonali Agarwal, Hem Chandra Jha, Shubhransu Patro, Budhadev Baral, Kartik Muduli, Deb Kumar Rath, Ajay Kumar Meena, Jyotirmayee Bahinipati, Vaishali Saini, Tarun Verma, Rajesh Kumar, Hamendra Singh Parmar, Manas Ranjan Behera, Soumya R. Mohapatra, Pratikeswar Panda, Namrata Misra, Nirmal Kumar Mohakud, Siddharth Singh
article en
2 citations

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.

Journal of Proteome ResearchVol. 24(7)
Devi Ahilya Vishwavidyalaya (IN), Indian Institute of Information Technology Allahabad (IN), Ministry of AYUSH (IN), Institute of Medical Sciences (IN), Indian Institute of Technology Indore (IN), KIIT University (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Indian Council of Medical Research, University Grants Commission, Science and Engineering Research Board
Openalex Percentile: Top 11%
COVID-19 Clinical Research Studies
2.79
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