Possible long-term endocrine-metabolic complications in COVID-19: lesson from the SARS model.
Mongioì, LM, Barbagallo, F, Condorelli, RA, Cannarella, R, Aversa, A, La Vignera, S, Calogero, AE
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Plain language summary
Coronavirus disease 2019 (Covid-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Little is known about how it affects the endocrine system and it is likely that some patients who have recovered may suffer long-term consequences. The severe acute respiratory syndrome coronavirus (SARS-CoV) that caused the SARS outbreak in 2003 has many similarities. This editorial looks at the possible effects on the endocrine system of SARS-CoV-2 by looking at the long-term effects seen in SARS. In the case of SARS-CoV, it was thought that the virus could directly damage pancreatic cells leading to type 2 diabetes. It is hypothesized that Covid-19 patients could develop this condition by the same mechanism. Although no study on SARS reported the link between obesity and higher mortality rate, there is evidence that obese Covid-19 patients have worse clinical outcomes. There is no data yet for Covid-19, but adrenal insufficiency and impaired thyroid function were shown in some cases of SARS. To identify and treat any possible long-term effects of Covid-19, endocrinologists should monitor hormone levels and metabolic functions.
The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is centralizing the interest of the scientific world. In the next months, long-term consequences on the endocrine system may arise following COVID-19. In this article, we hypothesized the effects of SARS-CoV-2 taking into account what learned from the severe acute respiratory syndrome coronavirus (SARS-CoV) that caused SARS in 2003.
Public Health Nutrition special issue on ultra-processed foods.
Kelly, B, Jacoby, E
Public health nutrition. 2018;21(1):1-4
Plain language summary
Food processing-based classification systems have been increasingly acknowledged in reports and commentary from the World Health Organisation, Food and Agriculture Organization of the United Nations, and the Pan American Health Organization. The aim of this issue was to examine the role and utility of food processing-based classification systems in food and nutrition research and public policy. This issue shows that food processing-based classification systems: - offer possibilities for use in public policy as a way to define unhealthful dietary patterns. - may underpin other regulatory strategies for the prevention and control of obesity and diet-related non-communicable diseases by identifying unhealthful foods. - could also be applied in local planning regulations, where these seek to influence the availability or accessibility of foods in local environments Authors conclude that food processing-based classification systems have a great potential for wider application in food policy.