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Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19
Rationale: Children usually develop less severe symptoms responding to Coronavirus Disease 2019 (COVID-19) than adults. However, little is known about the molecular alterations and pathogenesis of COVID-19 in children. Methods: We conducted plasma proteomic and metabolomic profilings of the blood sa...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315065/ https://www.ncbi.nlm.nih.gov/pubmed/34335977 http://dx.doi.org/10.7150/thno.61832 |
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author | Wang, Chong Li, Xufang Ning, Wanshan Gong, Sitang Yang, Fengxia Fang, Chunxiao Gong, Yu Wu, Di Huang, Muhan Gou, Yujie Fu, Shanshan Ren, Yujie Yang, Ruyi Qiu, Yang Xue, Yu Xu, Yi Zhou, Xi |
author_facet | Wang, Chong Li, Xufang Ning, Wanshan Gong, Sitang Yang, Fengxia Fang, Chunxiao Gong, Yu Wu, Di Huang, Muhan Gou, Yujie Fu, Shanshan Ren, Yujie Yang, Ruyi Qiu, Yang Xue, Yu Xu, Yi Zhou, Xi |
author_sort | Wang, Chong |
collection | PubMed |
description | Rationale: Children usually develop less severe symptoms responding to Coronavirus Disease 2019 (COVID-19) than adults. However, little is known about the molecular alterations and pathogenesis of COVID-19 in children. Methods: We conducted plasma proteomic and metabolomic profilings of the blood samples of a cohort containing 18 COVID-19-children with mild symptoms and 12 healthy children, which were enrolled from hospital admissions and outpatients, respectively. Statistical analyses were performed to identify molecules specifically altered in COVID-19-children. We also developed a machine learning-based pipeline named inference of biomolecular combinations with minimal bias (iBM) to prioritize proteins and metabolites strongly altered in COVID-19-children, and experimentally validated the predictions. Results: By comparing to the multi-omic data in adults, we identified 44 proteins and 249 metabolites differentially altered in COVID-19-children against healthy children or COVID-19-adults. Further analyses demonstrated that both deteriorative immune response/inflammation processes and protective antioxidant or anti-inflammatory processes were markedly induced in COVID-19-children. Using iBM, we prioritized two combinations that contained 5 proteins and 5 metabolites, respectively, each exhibiting a total area under curve (AUC) value of 100% to accurately distinguish COVID-19-children from healthy children or COVID-19-adults. Further experiments validated that all the 5 proteins were up-regulated upon coronavirus infection. Interestingly, we found that the prioritized metabolites inhibited the expression of pro-inflammatory factors, and two of them, methylmalonic acid (MMA) and mannitol, also suppressed coronaviral replication, implying a protective role of these metabolites in COVID-19-children. Conclusion: The finding of a strong antagonism of deteriorative and protective effects provided new insights on the mechanism and pathogenesis of COVID-19 in children that mostly underwent mild symptoms. The identified metabolites strongly altered in COVID-19-children could serve as potential therapeutic agents of COVID-19. |
format | Online Article Text |
id | pubmed-8315065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-83150652021-07-30 Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 Wang, Chong Li, Xufang Ning, Wanshan Gong, Sitang Yang, Fengxia Fang, Chunxiao Gong, Yu Wu, Di Huang, Muhan Gou, Yujie Fu, Shanshan Ren, Yujie Yang, Ruyi Qiu, Yang Xue, Yu Xu, Yi Zhou, Xi Theranostics Research Paper Rationale: Children usually develop less severe symptoms responding to Coronavirus Disease 2019 (COVID-19) than adults. However, little is known about the molecular alterations and pathogenesis of COVID-19 in children. Methods: We conducted plasma proteomic and metabolomic profilings of the blood samples of a cohort containing 18 COVID-19-children with mild symptoms and 12 healthy children, which were enrolled from hospital admissions and outpatients, respectively. Statistical analyses were performed to identify molecules specifically altered in COVID-19-children. We also developed a machine learning-based pipeline named inference of biomolecular combinations with minimal bias (iBM) to prioritize proteins and metabolites strongly altered in COVID-19-children, and experimentally validated the predictions. Results: By comparing to the multi-omic data in adults, we identified 44 proteins and 249 metabolites differentially altered in COVID-19-children against healthy children or COVID-19-adults. Further analyses demonstrated that both deteriorative immune response/inflammation processes and protective antioxidant or anti-inflammatory processes were markedly induced in COVID-19-children. Using iBM, we prioritized two combinations that contained 5 proteins and 5 metabolites, respectively, each exhibiting a total area under curve (AUC) value of 100% to accurately distinguish COVID-19-children from healthy children or COVID-19-adults. Further experiments validated that all the 5 proteins were up-regulated upon coronavirus infection. Interestingly, we found that the prioritized metabolites inhibited the expression of pro-inflammatory factors, and two of them, methylmalonic acid (MMA) and mannitol, also suppressed coronaviral replication, implying a protective role of these metabolites in COVID-19-children. Conclusion: The finding of a strong antagonism of deteriorative and protective effects provided new insights on the mechanism and pathogenesis of COVID-19 in children that mostly underwent mild symptoms. The identified metabolites strongly altered in COVID-19-children could serve as potential therapeutic agents of COVID-19. Ivyspring International Publisher 2021-07-06 /pmc/articles/PMC8315065/ /pubmed/34335977 http://dx.doi.org/10.7150/thno.61832 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Wang, Chong Li, Xufang Ning, Wanshan Gong, Sitang Yang, Fengxia Fang, Chunxiao Gong, Yu Wu, Di Huang, Muhan Gou, Yujie Fu, Shanshan Ren, Yujie Yang, Ruyi Qiu, Yang Xue, Yu Xu, Yi Zhou, Xi Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 |
title | Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 |
title_full | Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 |
title_fullStr | Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 |
title_full_unstemmed | Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 |
title_short | Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19 |
title_sort | multi-omic profiling of plasma reveals molecular alterations in children with covid-19 |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315065/ https://www.ncbi.nlm.nih.gov/pubmed/34335977 http://dx.doi.org/10.7150/thno.61832 |
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