Integrated cytokine and metabolite analysis reveals immunometabolic reprogramming in COVID-19 patients with therapeutic implications.
Integrated cytokine and metabolite analysis reveals immunometabolic reprogramming in COVID-19 patients with therapeutic implications.
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综合细胞因子和代谢物分析揭示了COVID-19患者的免疫代谢重编程及其治疗意义。
DOI:
10.1038/s41467-021-21907-9
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发表时间:
2021-03-12
影响因子:
16.6
通讯作者:
Hu Z
中科院分区:
文献类型:
--
作者:
Xiao N;Nie M;Pang H;Wang B;Hu J;Meng X;Li K;Ran X;Long Q;Deng H;Chen N;Li S;Tang N;Huang A;Hu Z
Cytokine release syndrome (CRS) is a major cause of the multi-organ injury and fatal outcome induced by SARS-CoV-2 infection in severe COVID-19 patients. Metabolism can modulate the immune responses against infectious diseases, yet our understanding remains limited on how host metabolism correlates with inflammatory responses and affects cytokine release in COVID-19 patients. Here we perform both metabolomics and cytokine/chemokine profiling on serum samples from healthy controls, mild and severe COVID-19 patients, and delineate their global metabolic and immune response landscape. Correlation analyses show tight associations between metabolites and proinflammatory cytokines/chemokines, such as IL-6, M-CSF, IL-1α, IL-1β, and imply a potential regulatory crosstalk between arginine, tryptophan, purine metabolism and hyperinflammation. Importantly, we also demonstrate that targeting metabolism markedly modulates the proinflammatory cytokines release by peripheral blood mononuclear cells isolated from SARS-CoV-2-infected rhesus macaques ex vivo, hinting that exploiting metabolic alterations may be a potential strategy for treating fatal CRS in COVID-19. Metabolism changes can modulate immune responses in many contexts, and vice versa. Here the authors associate metabolomic, as well as cytokine and chemokine, data from stratified COVID-19 patients to find that arginine, tryptophan and purine metabolic pathways correlate with hyperproliferation, thus hinting at potential therapeutic targets for severe COVID-19 patients.
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影响因子:
29
作者:
Lampropoulou V;Sergushichev A;Bambouskova M;Nair S;Vincent EE;Loginicheva E;Cervantes-Barragan L;Ma X;Huang SC;Griss T;Weinheimer CJ;Khader S;Randolph GJ;Pearce EJ;Jones RG;Diwan A;Diamond MS;Artyomov MN
通讯作者:
Artyomov MN
影响因子:
64.5
作者:
Aid M;Busman-Sahay K;Vidal SJ;Maliga Z;Bondoc S;Starke C;Terry M;Jacobson CA;Wrijil L;Ducat S;Brook OR;Miller AD;Porto M;Pellegrini KL;Pino M;Hoang TN;Chandrashekar A;Patel S;Stephenson K;Bosinger SE;Andersen H;Lewis MG;Hecht JL;Sorger PK;Martinot AJ;Estes JD;Barouch DH
通讯作者:
Barouch DH
影响因子:
29
作者:
Codo, Ana Campos;Davanzo, Gustavo Gastao;Moraes-Vieira, Pedro M.
通讯作者:
Moraes-Vieira, Pedro M.
影响因子:
3.8
作者:
Lee, Andrew C. Y.;To, Kelvin K. W.;Yuen, Kwok-Yung
通讯作者:
Yuen, Kwok-Yung
影响因子:
82.9
作者:
Del Valle DM;Kim-Schulze S;Huang HH;Beckmann ND;Nirenberg S;Wang B;Lavin Y;Swartz TH;Madduri D;Stock A;Marron TU;Xie H;Patel M;Tuballes K;Van Oekelen O;Rahman A;Kovatch P;Aberg JA;Schadt E;Jagannath S;Mazumdar M;Charney AW;Firpo-Betancourt A;Mendu DR;Jhang J;Reich D;Sigel K;Cordon-Cardo C;Feldmann M;Parekh S;Merad M;Gnjatic S
通讯作者:
Gnjatic S