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Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection
Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron pa...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186977/ https://www.ncbi.nlm.nih.gov/pubmed/37257450 http://dx.doi.org/10.1016/j.immuni.2023.05.007 |
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author | Wang, Hong Liu, Cuicui Xie, Xiaowei Niu, Mingming Wang, Yingrui Cheng, Xuelian Zhang, Biao Zhang, Dong Liu, Mengyao Sun, Rui Ma, Yezi Ma, Shihui Wang, Huijun Zhu, Guoqing Lu, Yang Huang, Baiming Su, Pei Chen, Xiaoyuan Zhao, Jingjing Wang, Hongtao Shen, Long Fu, Lixia Huang, Qianqian Yang, Yang Wang, He Wu, Chunlong Ge, Weigang Chen, Chen Huo, Qianyu Wang, Qingping Wang, Ying Geng, Li Xie, Yan Xie, Yi Liu, Lijun Qi, Jianwei Chen, Huaiyong Wu, Junping Jiang, Erlie Jiang, Wentao Wang, Ximo Shen, Zhongyang Guo, Tiannan Zhou, Jiaxi Zhu, Ping Cheng, Tao |
author_facet | Wang, Hong Liu, Cuicui Xie, Xiaowei Niu, Mingming Wang, Yingrui Cheng, Xuelian Zhang, Biao Zhang, Dong Liu, Mengyao Sun, Rui Ma, Yezi Ma, Shihui Wang, Huijun Zhu, Guoqing Lu, Yang Huang, Baiming Su, Pei Chen, Xiaoyuan Zhao, Jingjing Wang, Hongtao Shen, Long Fu, Lixia Huang, Qianqian Yang, Yang Wang, He Wu, Chunlong Ge, Weigang Chen, Chen Huo, Qianyu Wang, Qingping Wang, Ying Geng, Li Xie, Yan Xie, Yi Liu, Lijun Qi, Jianwei Chen, Huaiyong Wu, Junping Jiang, Erlie Jiang, Wentao Wang, Ximo Shen, Zhongyang Guo, Tiannan Zhou, Jiaxi Zhu, Ping Cheng, Tao |
author_sort | Wang, Hong |
collection | PubMed |
description | Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns. |
format | Online Article Text |
id | pubmed-10186977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101869772023-05-16 Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection Wang, Hong Liu, Cuicui Xie, Xiaowei Niu, Mingming Wang, Yingrui Cheng, Xuelian Zhang, Biao Zhang, Dong Liu, Mengyao Sun, Rui Ma, Yezi Ma, Shihui Wang, Huijun Zhu, Guoqing Lu, Yang Huang, Baiming Su, Pei Chen, Xiaoyuan Zhao, Jingjing Wang, Hongtao Shen, Long Fu, Lixia Huang, Qianqian Yang, Yang Wang, He Wu, Chunlong Ge, Weigang Chen, Chen Huo, Qianyu Wang, Qingping Wang, Ying Geng, Li Xie, Yan Xie, Yi Liu, Lijun Qi, Jianwei Chen, Huaiyong Wu, Junping Jiang, Erlie Jiang, Wentao Wang, Ximo Shen, Zhongyang Guo, Tiannan Zhou, Jiaxi Zhu, Ping Cheng, Tao Immunity Resource Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns. Elsevier Inc. 2023-06-13 2023-05-16 /pmc/articles/PMC10186977/ /pubmed/37257450 http://dx.doi.org/10.1016/j.immuni.2023.05.007 Text en © 2023 Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Resource Wang, Hong Liu, Cuicui Xie, Xiaowei Niu, Mingming Wang, Yingrui Cheng, Xuelian Zhang, Biao Zhang, Dong Liu, Mengyao Sun, Rui Ma, Yezi Ma, Shihui Wang, Huijun Zhu, Guoqing Lu, Yang Huang, Baiming Su, Pei Chen, Xiaoyuan Zhao, Jingjing Wang, Hongtao Shen, Long Fu, Lixia Huang, Qianqian Yang, Yang Wang, He Wu, Chunlong Ge, Weigang Chen, Chen Huo, Qianyu Wang, Qingping Wang, Ying Geng, Li Xie, Yan Xie, Yi Liu, Lijun Qi, Jianwei Chen, Huaiyong Wu, Junping Jiang, Erlie Jiang, Wentao Wang, Ximo Shen, Zhongyang Guo, Tiannan Zhou, Jiaxi Zhu, Ping Cheng, Tao Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection |
title | Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection |
title_full | Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection |
title_fullStr | Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection |
title_full_unstemmed | Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection |
title_short | Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection |
title_sort | multi-omics blood atlas reveals unique features of immune and platelet responses to sars-cov-2 omicron breakthrough infection |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186977/ https://www.ncbi.nlm.nih.gov/pubmed/37257450 http://dx.doi.org/10.1016/j.immuni.2023.05.007 |
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