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10.1371/journal.pone.0256784

http://scihub22266oqcxt.onion/10.1371/journal.pone.0256784
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34460840!8405033!34460840
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suck abstract from ncbi


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pmid34460840      PLoS+One 2021 ; 16 (8): e0256784
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  • Immunometabolic signatures predict risk of progression to sepsis in COVID-19 #MMPMID34460840
  • Herrera-Van Oostdam AS; Castaneda-Delgado JE; Oropeza-Valdez JJ; Borrego JC; Monarrez-Espino J; Zheng J; Mandal R; Zhang L; Soto-Guzman E; Fernandez-Ruiz JC; Ochoa-Gonzalez F; Trejo Medinilla FM; Lopez JA; Wishart DS; Enciso-Moreno JA; Lopez-Hernandez Y
  • PLoS One 2021[]; 16 (8): e0256784 PMID34460840show ga
  • Viral sepsis has been proposed as an accurate term to describe all multisystemic dysregulations and clinical findings in severe and critically ill COVID-19 patients. The adoption of this term may help the implementation of more accurate strategies of early diagnosis, prognosis, and in-hospital treatment. We accurately quantified 110 metabolites using targeted metabolomics, and 13 cytokines/chemokines in plasma samples of 121 COVID-19 patients with different levels of severity, and 37 non-COVID-19 individuals. Analyses revealed an integrated host-dependent dysregulation of inflammatory cytokines, neutrophil activation chemokines, glycolysis, mitochondrial metabolism, amino acid metabolism, polyamine synthesis, and lipid metabolism typical of sepsis processes distinctive of a mild disease. Dysregulated metabolites and cytokines/chemokines showed differential correlation patterns in mild and critically ill patients, indicating a crosstalk between metabolism and hyperinflammation. Using multivariate analysis, powerful models for diagnosis and prognosis of COVID-19 induced sepsis were generated, as well as for mortality prediction among septic patients. A metabolite panel made of kynurenine/tryptophan ratio, IL-6, LysoPC a C18:2, and phenylalanine discriminated non-COVID-19 from sepsis patients with an area under the curve (AUC (95%CI)) of 0.991 (0.986-0.995), with sensitivity of 0.978 (0.963-0.992) and specificity of 0.920 (0.890-0.949). The panel that included C10:2, IL-6, NLR, and C5 discriminated mild patients from sepsis patients with an AUC (95%CI) of 0.965 (0.952-0.977), with sensitivity of 0.993(0.984-1.000) and specificity of 0.851 (0.815-0.887). The panel with citric acid, LysoPC a C28:1, neutrophil-lymphocyte ratio (NLR) and kynurenine/tryptophan ratio discriminated severe patients from sepsis patients with an AUC (95%CI) of 0.829 (0.800-0.858), with sensitivity of 0.738 (0.695-0.781) and specificity of 0.781 (0.735-0.827). Septic patients who survived were different from those that did not survive with a model consisting of hippuric acid, along with the presence of Type II diabetes, with an AUC (95%CI) of 0.831 (0.788-0.874), with sensitivity of 0.765 (0.697-0.832) and specificity of 0.817 (0.770-0.865).
  • |*Metabolomics[MESH]
  • |Adult[MESH]
  • |Area Under Curve[MESH]
  • |COVID-19/complications/*pathology/virology[MESH]
  • |Chemokines/blood[MESH]
  • |Cytokines/blood[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Kynurenine/blood[MESH]
  • |Lymphocytes/cytology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Neutrophils/cytology[MESH]
  • |ROC Curve[MESH]
  • |Retrospective Studies[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/isolation & purification[MESH]
  • |Sepsis/*diagnosis/etiology[MESH]
  • |Severity of Illness Index[MESH]


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