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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
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.
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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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