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Plasma metabolomic and lipidomic alterations associated with COVID-19

TLDR
Target metabolomic and lipidomic analyses of plasma from a cohort of patients with COVID-19 found that metabolite and lipid alterations exhibit apparent correlation with the course of disease in these patients, indicating that the development of CO VID-19 affected their whole-body metabolism.
Abstract
The pandemic of the coronavirus disease 2019 (COVID-19) has become a global public health crisis. The symptoms of COVID-19 range from mild to severe, but the physiological changes associated with COVID-19 are barely understood. In this study, we performed targeted metabolomic and lipidomic analyses of plasma from a cohort of patients with COVID-19 who had experienced different symptoms. We found that metabolite and lipid alterations exhibit apparent correlation with the course of disease in these patients, indicating that the development of COVID-19 affected their whole-body metabolism. In particular, malic acid of the TCA cycle and carbamoyl phosphate of the urea cycle result in altered energy metabolism and hepatic dysfunction, respectively. It should be noted that carbamoyl phosphate is profoundly down-regulated in patients who died compared with patients with mild symptoms. And, more importantly, guanosine monophosphate (GMP), which is mediated not only by GMP synthase but also by CD39 and CD73, is significantly changed between healthy subjects and patients with COVID-19, as well as between the mild and fatal cases. In addition, dyslipidemia was observed in patients with COVID-19. Overall, the disturbed metabolic patterns have been found to align with the progress and severity of COVID-19. This work provides valuable knowledge about plasma biomarkers associated with COVID-19 and potential therapeutic targets, as well as an important resource for further studies of the pathogenesis of COVID-19.

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Journal ArticleDOI

Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19.

TL;DR: A machine learning-based pipeline was developed to identify 11 proteins as biomarkers and a set of biomarker combinations, which were validated by an independent cohort and accurately distinguished and predicted COVID-19 outcomes.
Journal ArticleDOI

SARS-CoV-2 Infection Dysregulates the Metabolomic and Lipidomic Profiles of Serum.

TL;DR: The results are consistent with a model in which SARS-CoV-2 infection induces liver damage associated with dyslipidemia and oxidative stress, and PCA analyses discriminating both cohorts highlighted the impact that the infection has in overall metabolism.
Journal ArticleDOI

Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection.

TL;DR: The breadth of the disturbed pathways indicates a systemic signature of SARS-CoV-2 positivity that includes elements of liver dysfunction, dyslipidemia, diabetes, and coronary heart disease risk that is consistent with recent reports that COVID-19 is a systemic disease affecting multiple organs and systems.
Journal ArticleDOI

Cutting Edge: Severe SARS-CoV-2 Infection in Humans Is Defined by a Shift in the Serum Lipidome, Resulting in Dysregulation of Eicosanoid Immune Mediators.

TL;DR: Examining LMs and polyunsaturated fatty acid precursor lipids in serum from hospitalized COVID-19 patients shows that moderate and severe disease are separated by specific differences in abundance of immune-regulatory and proinflammatory LMs, providing mechanistic insight into an immuno-lipidomic imbalance in severe CO VID-19.
References
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Journal ArticleDOI

Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

TL;DR: The epidemiological and clinical characteristics of novel coronavirus (2019-nCoV)-infected pneumonia in Wuhan, China, and hospital-associated transmission as the presumed mechanism of infection for affected health professionals and hospitalized patients are described.
Journal ArticleDOI

Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

TL;DR: Characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia, and further investigation is needed to explore the applicability of the Mu LBSTA scores in predicting the risk of mortality in 2019-nCoV infection.
Journal ArticleDOI

The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China

TL;DR: The COVID-19 epidemic has spread very quickly and only took 30 days to expand from Hubei to the rest of Mainland China, with many people returning from a long holiday, China needs to prepare for the possible rebound of the epidemic.
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