Metabolic predictors of COVID-19 mortality and severity: a survival analysis

Frontiers in Immunology, Год журнала: 2024, Номер 15

Опубликована: Май 10, 2024

Introduction The global healthcare burden of COVID-19 pandemic has been unprecedented with a high mortality. Metabolomics, powerful technique, increasingly utilized to study the host response infections and understand progression multi-system disorders such as COVID-19. Analysis metabolites in SARS-CoV-2 infection can provide snapshot endogenous metabolic landscape its role shaping interaction SARS-CoV-2. Disease severity consequently clinical outcomes may be associated imbalance related amino acids, lipids, energy-generating pathways. Hence, metabolome help predict potential risks outcomes. Methods In this prospective study, using targeted metabolomics approach, we studied signature 154 patients (males=138, age range 48-69 yrs) it disease Blood plasma concentrations were quantified through LC-MS MxP Quant 500 kit, which coverage 630 from 26 biochemical classes including distinct lipids small organic molecules. We then employed Kaplan-Meier survival analysis investigate correlation between various markers, patient Results A comparison individuals levels (amino tryptophan, kynurenine, serotonin, creatine, SDMA, ADMA, 1-MH carnitine palmitoyltransferase 1 2 enzymes) those low revealed statistically significant differences further used four key markers (tryptophan, asymmetric dimethylarginine, 1-Methylhistidine) develop mortality risk model application multiple machine-learning methods. Conclusions Metabolomics signatures among different groups, reflecting discernible alterations acid perturbations tryptophan metabolism. Notably, critical exhibited higher short chain acylcarnitines, concomitant severe cases non-survivors. Conversely, 3-methylhistidine lower context.

Язык: Английский

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Clinical features and multiomics profiles indicate coagulation and platelet dysfunction in COVID-19 viral sepsis

iScience, Год журнала: 2024, Номер 27(6), С. 110110 - 110110

Опубликована: Май 25, 2024

Increased cases of sepsis during COVID-19 in the absence known bacterial pathogens highlighted role viruses as causative agents sepsis. In this study, we investigated clinical, laboratory, proteomic, and metabolomic characteristics viral patients (

Язык: Английский

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Metabolomic Insights into COVID-19 Severity: A Scoping Review

Metabolites, Год журнала: 2024, Номер 14(11), С. 617 - 617

Опубликована: Ноя. 12, 2024

Background: In 2019, SARS-CoV-2, the novel coronavirus, entered world scene, presenting a global health crisis with broad spectrum of clinical manifestations. Recognizing significance metabolomics as omics closest to symptomatology, it has become useful tool for predicting outcomes. Several metabolomic studies have indicated variations in metabolome corresponding different disease severities, highlighting potential unravel crucial insights into pathophysiology SARS-CoV-2 infection. Methods: The PRISMA guidelines were followed this scoping review. Three major scientific databases searched: PubMed, Directory Open Access Journals (DOAJ), and BioMed Central, from 2020 2024. Initially, 2938 articles identified vetted specific inclusion exclusion criteria. Of these, 42 retrieved analysis summary. Results: Metabolites that repeatedly noted change COVID-19 its severity. Phenylalanine, glucose, glutamic acid increased severity, while tryptophan, proline, glutamine decreased, their association Additionally, pathway revealed phenylalanine, tyrosine tryptophan biosynthesis, arginine biosynthesis most significantly impacted pathways Conclusions: severity is intricately linked significant metabolic alterations span amino metabolism, energy production, immune response modulation, redox balance.

Язык: Английский

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SARS-CoV-2 infection unevenly impacts metabolism in the coronal periphery of the lungs

iScience, Год журнала: 2025, Номер 28(2), С. 111727 - 111727

Опубликована: Янв. 2, 2025

Язык: Английский

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Metabolomic profile of severe COVID-19 and a signature predictive of progression towards severe disease status: a prospective cohort study (METCOVID)

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 10, 2025

Язык: Английский

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SARS-CoV2 variants differentially impact on the plasma metabolome

Metabolomics, Год журнала: 2025, Номер 21(2)

Опубликована: Апрель 5, 2025

Abstract Introduction Infection with severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) leads to COVID19 disease and caused a worldwide pandemic in 2019. Since the first wave of infections, there has been significant antigenic shifts, leading emergence new variants. Today, infections have shifted away from severe, fatal infection seen Objective This study aimed assess how plasma metabolomes patients varied different strains could reflect severity. Methods Patients not requiring intensive care were recruited between January 2021 May 2022 Queen Elizabeth Hospital Birmingham; 33 alpha, 13 delta 14 omicron These compared 26 age matched contemporaneously controls. Plasma samples extracted into chloroform/methanol/water (1:2.5/1 v/v) assessed by flow injection electrospray mass spectrometry (FIE-MS) using an Exactive Orbitrap spectrometer. Derived data R based MetaboAnalyst platform. Results clearly Metabolite variation be related SARS-CoV2 Variant showed levels some phospholipids, ganglioside GD1a dihydroxyvitamin D3 derivative. Correlations indicated negative correlations selected phospholipids C-reactive protein, creatinine, neutrophil D-dimer. Conclusion The show changes, particularly which severity variant infection.

Язык: Английский

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Novel Biomarkers for SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis

Journal of Personalized Medicine, Год журнала: 2025, Номер 15(6), С. 225 - 225

Опубликована: Июнь 1, 2025

Background: COVID-19, caused by SARS-CoV-2, has posed significant challenge to global healthcare systems, necessitating reliable biomarkers predict disease severity and mortality. This systematic review meta-analysis evaluated the prognostic value of novel in COVID-19 patients. The aim this study was identify prioritize most prognostically relevant associated with outcomes. Methods: We conducted a available evidence. A search PubMed Web Science performed studies on biomarkers. Observational that compared poor (severe disease/mortality) good outcomes were included. For continuous measures, standard mean differences (SMDs) 95% confidence intervals (CIs) calculated. Pooled sensitivity, specificity, diagnostic odds ratio (DOR), summary receiver operating characteristic (SROC) curve analyses for used. risk bias assessed using Newcastle–Ottawa scale. Results: Of 2907 screened studies, 38 included (21 meta-analysis). MR-proADM showed higher levels prediction (SMD = 1.40, CI: 1.11–1.69; AUC 0.74–0.96; 85%; 71%). neutrophil-to-lymphocyte (NLR) high correlation 1.07, 0.79–1.35; 0.73–0.98; 86%; 78%). Increased KL-6 lung injury 1.22, 0.24–2.19; 0.85–0.95). Other (suPAR, miR-155, Galectin-3) promise but lacked sufficient data pooled analysis. Heterogeneity observed among terms accuracy. These findings indicate elevated MR-proADM, NLR, are significantly accuracy guide patient management. Conclusions: demonstrated strong can enhance clinical decision-making.

Язык: Английский

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Distinct post-sepsis induced neurochemical alterations in two mouse strains

Brain Behavior and Immunity, Год журнала: 2022, Номер 104, С. 39 - 53

Опубликована: Май 13, 2022

Язык: Английский

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Towards risk stratification and prediction of disease severity and mortality in COVID-19: Next generation metabolomics for the measurement of host response to COVID-19 infection

PLoS ONE, Год журнала: 2021, Номер 16(12), С. e0259909 - e0259909

Опубликована: Дек. 1, 2021

This study investigated the association between COVID-19 infection and host metabolic signatures as prognostic markers for disease severity mortality. We enrolled 82 patients with RT-PCR confirmed who were classified mild, moderate, or severe/critical based upon their WHO clinical score compared results 31 healthy volunteers. Data on demographics, comorbidities clinical/laboratory characteristics obtained from medical records. Peripheral blood samples collected at time of evaluation admission tested by quantitative mass spectrometry to characterize profiles using selected metabolites. The findings in (+) reveal changes concentrations glutamate, valeryl-carnitine, ratios Kynurenine/Tryptophan (Kyn/Trp) Citrulline/Ornithine (Cit/Orn). observed may serve predictors a (Kyn/Trp)/(Cit/Orn) Receiver Operator Curve (ROC) AUC = 0.95. Additional metabolite measures further characterized those likely develop severe complications disease, suggesting that underlying immune (Kyn/Trp), glutaminolysis (Glutamate), urea cycle abnormalities (Cit/Orn) alterations organic acid metabolism (C5) can be applied identify individuals highest risk morbidity mortality infection. conclude factors, measured plasma biochemical signatures, could prove important determinants Covid-19 implications prognosis, stratification management.

Язык: Английский

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Integrated NMR and MS Analysis of the Plasma Metabolome Reveals Major Changes in One-Carbon, Lipid, and Amino Acid Metabolism in Severe and Fatal Cases of COVID-19

Metabolites, Год журнала: 2023, Номер 13(7), С. 879 - 879

Опубликована: Июль 24, 2023

Brazil has the second-highest COVID-19 death rate worldwide, and Rio de Janeiro is among states with highest in country. Although vaccine coverage been achieved, it anticipated that will transition into an endemic disease. It concerning molecular mechanisms underlying clinical evolution from mild to severe disease, as well leading long COVID-19, are not yet fully understood. NMR MS-based metabolomics were used identify metabolites associated pathophysiology disease outcome. Severe cases (n = 35) enrolled two reference centers within 72 h of ICU admission, alongside 12 non-infected control subjects. patients grouped survivors 18) non-survivors 17). Choline-related metabolites, serine, glycine, betaine, reduced indicating dysregulation methyl donors. Non-survivors had higher levels creatine/creatinine, 4-hydroxyproline, gluconic acid, N-acetylserine, liver kidney dysfunction. Several changes greater women; thus, patients' sex should be considered pandemic surveillance achieve better stratification improve outcomes. These metabolic alterations may useful monitor organ (dys) function understand acute possibly post-acute syndromes.

Язык: Английский

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