Acute and long-term disruption of glycometabolic control after SARS-CoV-2 infection.
Laura MontefuscoMoufida Ben NasrFrancesca D'AddioCristian LoretelliAntonio RossiIda PastoreGiuseppe DanieleAhmed AbdelsalamAnna MaestroniMarco Dell'AcquaElio IppolitoEmma AssiVera UsuelliAndy Joe SeelamRoberta Maria FiorinaEnrica ChebatPaola MorpurgoMaria Elena LunatiAndrea Mario BollaGiovanna FinziReza AbdiJoseph V BonventreStefano RusconiAgostino RivaDomenico CorradiPierachille SantusManuela NebuloniFranco FolliGian Vincenzo ZuccottiMassimo GalliPaolo FiorinaPublished in: Nature metabolism (2021)
Patients with coronavirus disease 2019 (COVID-19) are reported to have a greater prevalence of hyperglycaemia. Cytokine release as a consequence of severe acute respiratory syndrome coronavirus 2 infection may precipitate the onset of metabolic alterations by affecting glucose homeostasis. Here we describe abnormalities in glycometabolic control, insulin resistance and beta cell function in patients with COVID-19 without any pre-existing history or diagnosis of diabetes, and document glycaemic abnormalities in recovered patients 2 months after onset of disease. In a cohort of 551 patients hospitalized for COVID-19 in Italy, we found that 46% of patients were hyperglycaemic, whereas 27% were normoglycaemic. Using clinical assays and continuous glucose monitoring in a subset of patients, we detected altered glycometabolic control, with insulin resistance and an abnormal cytokine profile, even in normoglycaemic patients. Glycaemic abnormalities can be detected for at least 2 months in patients who recovered from COVID-19. Our data demonstrate that COVID-19 is associated with aberrant glycometabolic control, which can persist even after recovery, suggesting that further investigation of metabolic abnormalities in the context of long COVID is warranted.
Keyphrases
- coronavirus disease
- end stage renal disease
- sars cov
- respiratory syndrome coronavirus
- newly diagnosed
- chronic kidney disease
- ejection fraction
- type diabetes
- peritoneal dialysis
- prognostic factors
- metabolic syndrome
- cardiovascular disease
- single cell
- artificial intelligence
- high throughput
- big data
- liver failure
- blood glucose