Potential Effects of Hyperglycemia on SARS-CoV-2 Entry Mechanisms in Pancreatic Beta Cells

Author:

Michaels Tara M.1ORCID,Essop M. Faadiel2ORCID,Joseph Danzil E.1ORCID

Affiliation:

1. Centre for Cardio-Metabolic Research in Africa, Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch 7600, South Africa

2. Centre for Cardio-Metabolic Research in Africa, Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa

Abstract

The COVID-19 pandemic has revealed a bidirectional relationship between SARS-CoV-2 infection and diabetes mellitus. Existing evidence strongly suggests hyperglycemia as an independent risk factor for severe COVID-19, resulting in increased morbidity and mortality. Conversely, recent studies have reported new-onset diabetes following SARS-CoV-2 infection, hinting at a potential direct viral attack on pancreatic beta cells. In this review, we explore how hyperglycemia, a hallmark of diabetes, might influence SARS-CoV-2 entry and accessory proteins in pancreatic β-cells. We examine how the virus may enter and manipulate such cells, focusing on the role of the spike protein and its interaction with host receptors. Additionally, we analyze potential effects on endosomal processing and accessory proteins involved in viral infection. Our analysis suggests a complex interplay between hyperglycemia and SARS-CoV-2 in pancreatic β-cells. Understanding these mechanisms may help unlock urgent therapeutic strategies to mitigate the detrimental effects of COVID-19 in diabetic patients and unveil if the virus itself can trigger diabetes onset.

Funder

South African Medical Research Council

Publisher

MDPI AG

Reference419 articles.

1. World Health Organization (2024, July 07). COVID-19 Cases|WHO COVID-19 Dashboard. Available online: https://data.who.int/dashboards/covid19/cases.

2. Center for Disease Control and Prevention (2024, June 10). Coronavirus Disease 2019 (COVID-19)—Symptoms, Available online: https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html.

3. Associations of Type 1 and Type 2 Diabetes with COVID-19-Related Mortality in England: A Whole-Population Study;Barron;Lancet Diabetes Endocrinol.,2020

4. Prevalence and Impact of Cardiovascular Metabolic Diseases on COVID-19 in China;Li;Clin. Res. Cardiol.,2020

5. Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients with Diabetes in Wuhan, China: A Two-Center, Retrospective Study;Shi;Diabetes Care,2020

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