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Visceral fat is associated to the severity of COVID-19.
Favre, Guillaume; Legueult, Kevin; Pradier, Christian; Raffaelli, Charles; Ichai, Carole; Iannelli, Antonio; Redheuil, Alban; Lucidarme, Olivier; Esnault, Vincent.
  • Favre G; University of Côte d'Azur, CNRS-UMR 7073 (LP2M), Department of Nephrology-Dialysis-Transplantation, Pasteur University Hospital, F-06002 CD1 Nice, France. Electronic address: favre.g@chu-nice.fr.
  • Legueult K; University of Côte d'Azur, Department of Public Health, Archet University Hospital, F-06202 Nice, France.
  • Pradier C; University of Côte d'Azur, Department of Public Health, Archet University Hospital, F-06202 Nice, France.
  • Raffaelli C; Radiology Department, Pasteur University Hospital, F-06002 Nice, France.
  • Ichai C; University of Côte d'Azur, Intensive Care Unit, Pasteur University Hospital, Nice F-06002, France.
  • Iannelli A; University of Côte d'Azur, INSERM-U1065, Digestive Surgery and Liver Transplantation Unit, Archet University Hospital, F-06202 Nice, France.
  • Redheuil A; Sorbonne University, Pitié-Salpêtrière Hospital (AP-HP), ICT Cardiothoracic Imaging Unit & Radiology Department, LIB Biomedical Imaging Laboratory INSERM, CNRS, ICAN Institute of Cardiometabolism and Nutrition, Paris, France.
  • Lucidarme O; Sorbonne University, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, APHP, Pitié-Salpêtrière Hospital, F-750013 Paris, France.
  • Esnault V; University of Côte d'Azur, CNRS-UMR 7073 (LP2M), Department of Nephrology-Dialysis-Transplantation, Pasteur University Hospital, F-06002 CD1 Nice, France.
Metabolism ; 115: 154440, 2021 02.
Article in English | MEDLINE | ID: covidwho-1071780
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 ±â€¯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 < 0.001). In an exploratory analysis, ACE 2 mRNA positively correlated with BMI in VF but not in SCF of non-COVID-19 patients (r2 = 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Intra-Abdominal Fat / Obesity, Abdominal / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Metabolism Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Intra-Abdominal Fat / Obesity, Abdominal / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Metabolism Year: 2021 Document Type: Article