Intersection between ageing-related Genes and SARS-CoV-2 Interactome: Is it higher than expected?

Guzzi, Pietro Hiram; Pedace, Elisabetta; Giorgi, Federico M.

doi:10.21203/rs.3.rs-137634/v2

Cited by 1 publication

(1 citation statement)

References 22 publications

(23 reference statements)

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“…For instance, the impact of the number of elderly people hospitalized into retirement homes in different countries might be an interesting investigation to pursue. The molecular mechanisms associated to age and sex in COVID-19 severity should be investigated further, as early scientific findings are provided in biomedical studies of network medicine from Guzzi et al 16 and Belyaeva et al 17 . We know also that the human microbiome is significantly modified by age and sex 18 , and the investigation of bacteria-metabolite networks 19 in COVID-19 age/sex-associated studies could represent an interesting direction to follow.…”

Section: Discussionmentioning

confidence: 99%

Age-sex population adjusted analysis of disease severity in epidemics as a tool to devise public health policies for COVID-19

Cannistraci

Valsecchi

Capua

2021

Sci Rep

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Governments continue to update social intervention strategies to contain COVID-19 infections. However, investigation of COVID-19 severity indicators across the population might help to design more precise strategies, balancing the need to keep people safe and to reduce the socio-economic burden of generalized restriction precedures. Here, we propose a method for age-sex population-adjusted analysis of disease severity in epidemics that has the advantage to use simple and repeatable variables, which are daily or weekly available. This allows to monitor the effect of public health policies in short term, and to repeat these calculations over time to surveille epidemic dynamics and impact. Our method can help to define a risk-categorization of likeliness to develop a severe COVID-19 disease which requires intensive care or is indicative of a higher risk of dying. Indeed, analysis of suitable open-access COVID-19 data in three European countries indicates that individuals in the 0–40 age interval and females under 60 are significantly less likely to develop a severe condition and die, whereas males equal or above 60 are more likely at risk of severe disease and death. Hence, a combination of age-adaptive and sex-balanced guidelines for social interventions could represent key public health management tools for policymakers.

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Section: Discussionmentioning

confidence: 99%