Metabolomic analyses of COVID-19 patients unravel stage-dependent and prognostic biomarkers.
Metabolomic analyses of COVID-19 patients unravel stage-dependent and prognostic biomarkers.
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DOI:
10.1038/s41419-021-03540-y
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发表时间:
2021-03-11
影响因子:
9
通讯作者:
Kroemer G
中科院分区:
文献类型:
--
作者:
Danlos FX;Grajeda-Iglesias C;Durand S;Sauvat A;Roumier M;Cantin D;Colomba E;Rohmer J;Pommeret F;Baciarello G;Willekens C;Vasse M;Griscelli F;Fahrner JE;Goubet AG;Dubuisson A;Derosa L;Nirmalathasan N;Bredel D;Mouraud S;Pradon C;Stoclin A;Rozenberg F;Duchemin J;Jourdi G;Ellouze S;Levavasseur F;Albigès L;Soria JC;Barlesi F;Solary E;André F;Pène F;Ackerman F;Mouthon L;Zitvogel L;Marabelle A;Michot JM;Fontenay M;Kroemer G
The circulating metabolome provides a snapshot of the physiological state of the organism responding to pathogenic challenges. Here we report alterations in the plasma metabolome reflecting the clinical presentation of COVID-19 patients with mild (ambulatory) diseases, moderate disease (radiologically confirmed pneumonitis, hospitalization and oxygen therapy), and critical disease (in intensive care). This analysis revealed major disease- and stage-associated shifts in the metabolome, meaning that at least 77 metabolites including amino acids, lipids, polyamines and sugars, as well as their derivatives, were altered in critical COVID-19 patient’s plasma as compared to mild COVID-19 patients. Among a uniformly moderate cohort of patients who received tocilizumab, only 10 metabolites were different among individuals with a favorable evolution as compared to those who required transfer into the intensive care unit. The elevation of one single metabolite, anthranilic acid, had a poor prognostic value, correlating with the maintenance of high interleukin-10 and -18 levels. Given that products of the kynurenine pathway including anthranilic acid have immunosuppressive properties, we speculate on the therapeutic utility to inhibit the rate-limiting enzymes of this pathway including indoleamine 2,3-dioxygenase and tryptophan 2,3-dioxygenase.
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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
影响因子:
5
作者:
Rosa, Flavia Troncon;Freitas, Ellen Cristini;Marchini, Julio Sergio
通讯作者:
Marchini, Julio Sergio
DOI:
10.1073/pnas.1113873109
发表时间:
2012-02-14
影响因子:
11.1
作者:
Pilotte, Luc;Larrieu, Pierre;Van den Eynde, Benoit J.
通讯作者:
Van den Eynde, Benoit J.
影响因子:
4.4
作者:
D'Alessandro, Angelo;Thomas, Tiffany;Hansen, Kirk C.
通讯作者:
Hansen, Kirk C.
影响因子:
11.2
作者:
Prendergast GC;Malachowski WP;DuHadaway JB;Muller AJ
通讯作者:
Muller AJ