Dataset Information

Visceral fat is associated to the severity of COVID-19.

ABSTRACT:

Background

Excess visceral fat (VF) or high body mass index (BMI) is risk factors for severe COVID-19. The receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is expressed at higher levels in the VF than in the subcutaneous fat (SCF) of obese patients.

Aim

To show that visceral fat accumulation better predicts severity of COVID-19 outcome compared to either SCF amounts or BMI.

Methods

We selected patients with symptomatic COVID-19 and a computed tomography (CT) scan. Severe COVID-19 was defined as requirement for mechanical ventilation or death. Fat depots were quantified on abdominal CT scan slices and the measurements were correlated with the clinical outcomes. ACE 2 mRNA levels were quantified in fat depots of a separate group of non-COVID-19 subjects using RT-qPCR.

Results

Among 165 patients with a mean BMI of 26.1?±?5.4?kg/m², VF was associated with severe COVID-19 (p?=?0.022) and SCF was not (p?=?0.640). Subcutaneous fat was not different in patients with mild or severe COVID-19 and the SCF/VF ratio was lower in patients with severe COVID-19 (p?=?0.010). The best predictive value for severe COVID-19 was found for a VF area ?128.5?cm² (ROC curve), which was independently associated with COVID-19 severity (p?2?=?0.27 vs 0.0008).

Conclusion

Severe forms of COVID-19 are associated with high visceral adiposity in European adults. On the basis of an exploratory analysis ACE 2 in the visceral fat may be a trigger for the cytokine storm, and this needs to be clarified by future studies.

SUBMITTER: Favre G

PROVIDER: S-EPMC7685947 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Visceral fat is associated to the severity of COVID-19.

Favre Guillaume G Legueult Kevin K Pradier Christian C Raffaelli Charles C Ichai Carole C Iannelli Antonio A Redheuil Alban A Lucidarme Olivier O Esnault Vincent V

Metabolism: clinical and experimental 20201125

<h4>Background</h4>Excess visceral fat (VF) or high body mass index (BMI) is risk factors for severe COVID-19. The receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is expressed at higher levels in the VF than in the subcutaneous fat (SCF) of obese patients.<h4>Aim</h4>To show that visceral fat accumulation better predicts severity of COVID-19 outcome compared to either SCF amounts or BMI.<h4>Methods</h4>We selected patients with symptomatic COVID-19 and a computed tomogr ...[more]

PMID: 33246009

Similar Datasets

Project description:Using RNA-seq and high-resolution mass spectrometry we performed a comprehensive systems analysis on 128 plasma and leukocyte samples from hospitalized patients with or without COVID-19 (n=102 and 26 respectively) and with differing degrees of disease severity. We generated abundance measurements for over 17,000 transcripts, proteins, metabolites, and lipids and compiled them with clinical data into a curated relational database. This resource offers the unique opportunity to perform systems analysis and cross-ome correlations to both molecules and patient outcomes. In total 219 molecular features were mapped with high significance to COVID-19 status and severity, including those involved in processes such as complement system activation, dysregulated lipid transport, and B cell activation. In one example, we detected a trio of covarying molecules – citrate, plasmenyl-phosphatidylcholines, and gelsolin (GSN) – that offer both pathophysiological insight and potential novel therapeutic targets. Further, our data revealed in some cases, and supported in others, that several biological processes were dysregulated in COVID-19 patients including vessel damage, platelet activation and degranulation, blood coagulation, and acute phase response. For example, we observed that the coagulation-related protein, cellular fibronectin (cFN), was highly increased within COVID-19 patients and provide new evidence that the upregulated proteoform stems from endothelial cells, consistent with endothelial injury as a major activator of the coagulation cascade. The abundance of prothrombin, which is cleaved to form thrombin during clotting, was significantly reduced and correlated with severity and might help to explain the hyper coagulative environment of SARS-CoV-2 infection. From transcriptomic analysis of leukocytes, we concluded that COVID-19 patients with acute respiratory distress syndrome (ARDS) demonstrated a phenotype that overlapped with, but was distinct from, that found in patients with non-COVID-19-ARDS. To aid in the global efforts toward elucidation of disease pathophysiology and therapeutic development, we created a web-based tool with interactive visualizations allowing for easy navigation of this systems-level compendium of biomolecule abundance in relation to COVID-19 status and severity. Finally, we leveraged these multi-omic data to predict COVID-19 patient outcomes with machine learning, which highlighted the predictive power of these expansive molecular measurements beyond the standardized clinical estimate of 10-year survival Charlson score.

Dataset Information

Visceral fat is associated to the severity of COVID-19.

Background

Aim

Methods

Results

Conclusion

Publications

Visceral fat is associated to the severity of COVID-19.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets