Immunological and metabolic characteristics of the Omicron variants infection

Author:

Geng Jiejie,Yang Xu,Wang Kun,Wang KeORCID,Chen Ruo,Chen Zhi-Nan,Qin ChuanORCID,Wu Guizhen,Wang YouchunORCID,Xu Ke,Du Peng,Liu Jiangning,Chen Shirui,Zhang Tao,Sun Xiuxuan,Guo Ting,Shi Ying,Zhang Zheng,Wei Ding,Lin Peng,Wang Qingyi,Yuan JingORCID,Qu Jiuxin,Zou Jin,Liu Yingxia,Lu Hongzhou,Zhu Ping,Bian HuijieORCID,Chen Liang

Abstract

AbstractThe Omicron variants of SARS-CoV-2, primarily authenticated in November 2021 in South Africa, has initiated the 5th wave of global pandemics. Here, we systemically examined immunological and metabolic characteristics of Omicron variants infection. We found Omicron resisted to neutralizing antibody targeting receptor binding domain (RBD) of wildtype SARS-CoV-2. Omicron could hardly be neutralized by sera of Corona Virus Disease 2019 (COVID-19) convalescents infected with the Delta variant. Through mass spectrometry on MHC-bound peptidomes, we found that the spike protein of the Omicron variants could generate additional CD8 + T cell epitopes, compared with Delta. These epitopes could induce robust CD8 + T cell responses. Moreover, we found booster vaccination increased the cross-memory CD8 + T cell responses against Omicron. Metabolic regulome analysis of Omicron-specific T cell showed a metabolic profile that promoted the response of memory T cells. Consistently, a greater fraction of memory CD8 + T cells existed in Omicron stimulated peripheral blood mononuclear cells (PBMCs). In addition, CD147 was also a receptor for the Omicron variants, and CD147 antibody inhibited infection of Omicron. CD147-mediated Omicron infection in a human CD147 transgenic mouse model induced exudative alveolar pneumonia. Taken together, our data suggested that vaccination booster and receptor blocking antibody are two effective strategies against Omicron.

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics

Reference38 articles.

1. Scott, L. et al. Track Omicron’s spread with molecular data. Science 374, 1454–1455 (2021).

2. Danyi, A. O. et al. SARS-CoV-2 Omicron variant: Immune escape and vaccine development. MedComm 16, e126 (2022).

3. Ailan, X. U. et al. Sub-lineages of the SARS-CoV-2 Omicron variants: characteristics and prevention. MedComm 16, e172 (2022).

4. Liu, L. et al. Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2. Nature 602, 676–681 (2022).

5. Cao, Y. et al. Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies. Nature 602, 657–663 (2022).

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