Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
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
Descripción
Sumario: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.