Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19

C Bruzzone, R Conde, N Embade, JM Mato… - Frontiers in Molecular …, 2023 - frontiersin.org
COVID-19 currently represents one of the major health challenges worldwide. Albeit its
infectious character, with onset affectation mainly at the respiratory track, it is clear that the …

Context-specific genome-scale metabolic modelling and its application to the analysis of COVID-19 metabolic signatures

M Moškon, T Režen - Metabolites, 2023 - mdpi.com
Genome-scale metabolic models (GEMs) have found numerous applications in different
domains, ranging from biotechnology to systems medicine. Herein, we overview the most …

COVID-19: A complex disease with a unique metabolic signature

V Ghini, W Vieri, T Celli, V Pecchioli, N Boccia… - PLoS …, 2023 - journals.plos.org
Plasma of COVID-19 patients contains a strong metabolomic/lipoproteomic signature,
revealed by the NMR analysis of a cohort of> 500 patients sampled during various waves of …

Molecular and cellular mechanisms involved in tissue-specific metabolic modulation by SARS-CoV-2

AAC Santos, LE Rodrigues, AL Alecrim-Zeza… - Frontiers in …, 2022 - frontiersin.org
Coronavirus disease 2019 (COVID-19) is triggered by the SARS-CoV-2, which is able to
infect and cause dysfunction not only in lungs, but also in multiple organs, including central …

Fuzzy optimization for identifying antiviral targets for treating SARS-CoV-2 infection in the heart

SW Chu, FS Wang - BMC bioinformatics, 2023 - Springer
In this paper, a fuzzy hierarchical optimization framework is proposed for identifying potential
antiviral targets for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …

Multiplatform Metabolomics: Enhancing the Severity Risk Prognosis of SARS-CoV-2 Infection

VS Lima, STB Morais, VG Ferreira, MB Almeida… - ACS …, 2024 - ACS Publications
Concerns about the SARS-CoV-2 outbreak (COVID-19) continue to persist even years later,
with the emergence of new variants and the risk of disease severity. Common clinical …

Mass spectrometry and machine learning in the identification of COVID-19 biomarkers

LC Lazari, G Santos de Oliveira… - Frontiers in Analytical …, 2023 - frontiersin.org
Identifying specific diagnostic and prognostic biological markers of COVID-19 can improve
disease surveillance and therapeutic opportunities. Mass spectrometry combined with …

Obesity‐dependent molecular alterations in fatal COVID‐19: A retrospective postmortem study of metabolomic profile of adipose tissue

BI Pilger, A Castro, FF Vasconcellos… - Journal of Cellular …, 2024 - Wiley Online Library
We investigated the effects of obesity on metabolic, inflammatory, and oxidative stress
parameters in the adipose tissue of patients with fatal COVID‐19. Postmortem biopsies of …

3-Methylglutarylcarnitine: A biomarker of mitochondrial dysfunction

EA Jennings, ZH Abi-Rached, DE Jones, RO Ryan - Clinica Chimica Acta, 2023 - Elsevier
The acylcarnitines comprise a wide range of acyl groups linked via an ester bond to the
hydroxyl group of L-carnitine. Mass spectrometry methods are capable of measuring the …

Cell‐specific genome‐scale metabolic modeling of SARS‐CoV‐2‐infected lung to identify antiviral enzymes

KL Chen, FS Wang - FEBS Open bio, 2023 - Wiley Online Library
Computational systems biology plays a key role in the discovery of suitable antiviral targets.
We designed a cell‐specific, constraint‐based modeling technique for severe acute …