COVID‐19 is an emergent disease of aging

Santesmasses, Didac; Castro, José Pedro; Zenin, Aleksandr; Shindyapina, Anastasia V.; Gerashchenko, Maxim V.; Zhang, Bohan; Kerepesi, Csaba; Yim, Sun Hee; Федичев, П. О.; Gladyshev, Vadim N.

doi:10.1111/acel.13230

Cited by 130 publications

(100 citation statements)

References 40 publications

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“…Case fatality rates (CFR) accelerate with age in the case of COVID-19, stroke, and probably other diseases. The characteristic doubling rate in the case of COVID-19 is reported in [ 39 ] as 6−9 years. Our estimation from the figure in [ 40 ] yielded ≈10 years for the doubling rate for one-year survival of stroke patients.…”

Section: Discussionmentioning

confidence: 99%

Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience

Pyrkov

Sokolov

Федичев

2021

Aging

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Biological age acceleration (BAA) models based on blood tests or DNA methylation emerge as a de facto standard for quantitative characterizations of the aging process. We demonstrate that deep neural networks trained to predict morbidity risk from wearable sensor data can provide a high-quality and cheap alternative for BAA determination. The GeroSense BAA model was trained and validated using steps per minute recordings from 103,830 one-week long and 2,599 of up to 2 years-long longitudinal samples and exhibited a superior association with life-expectancy over the average number of steps per day in, e.g., groups stratified by professional occupations. The association between the BAA and effects of lifestyles, the prevalence of future incidence of diseases was comparable to that of BAA from models based on blood test results. Wearable sensors let sampling of BAA fluctuations at time scales corresponding to days and weeks and revealed the divergence of organism state recovery time (resilience) as a function of chronological age. The number of individuals suffering from the lack of resilience increased exponentially with age at a rate compatible with Gompertz mortality law. We speculate that due to the stochastic character of BAA fluctuations, its mean and auto-correlation properties together comprise the minimum set of biomarkers of aging in humans.

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Section: Discussionmentioning

confidence: 99%

Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience

Pyrkov

Sokolov

Федичев

2021

Aging

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“…Of relevance, mortality attributable to COVID-19 complications is higher in this age group, and age increases the likelihood of developing the symptomatic disease and increased disease severity [ 34 , 35 ]. Nevertheless, the association with older age could have different meanings depending on the number of comorbidities, with some reports labeling COVID-19 as an age-related disease [ 36 ]. Our data demonstrate that the spatial spread of COVID-19 has a relationship with population aging structures, a concept that must be explored in this setting to obtain population-specific estimates and lethality and which could represent a significant structural inequality related to COVID-19 burden [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level

2020

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The Islamic Republic of Iran reported its first COVID-19 cases by 19th February 2020, since then it has become one of the most affected countries, with more than 73,000 cases and 4,585 deaths to this date. Spatial modeling could be used to approach an understanding of structural and sociodemographic factors that have impacted COVID-19 spread at a province-level in Iran. Therefore, in the present paper, we developed a spatial statistical approach to describe how COVID-19 cases are spatially distributed and to identify significant spatial clusters of cases and how socioeconomic and climatic features of Iranian provinces might predict the number of cases. The analyses are applied to cumulative cases of the disease from February 19th to March 18th. They correspond to obtaining maps associated with quartiles for rates of COVID-19 cases smoothed through a Bayesian technique and relative risks, the calculation of global (Moran’s I) and local indicators of spatial autocorrelation (LISA), both univariate and bivariate, to derive significant clustering, and the fit of a multivariate spatial lag model considering a set of variables potentially affecting the presence of the disease. We identified a cluster of provinces with significantly higher rates of COVID-19 cases around Tehran (p-value< 0.05), indicating that the COVID-19 spread within Iran was spatially correlated. Urbanized, highly connected provinces with older population structures and higher average temperatures were the most susceptible to present a higher number of COVID-19 cases (p-value < 0.05). Interestingly, literacy is a factor that is associated with a decrease in the number of cases (p-value < 0.05), which might be directly related to health literacy and compliance with public health measures. These features indicate that social distancing, protecting older adults, and vulnerable populations, as well as promoting health literacy, might be useful to reduce SARS-CoV-2 spread in Iran. One limitation of our analysis is that the most updated information we found concerning socioeconomic and climatic features is not for 2020, or even for a same year, so that the obtained associations should be interpreted with caution. Our approach could be applied to model COVID-19 outbreaks in other countries with similar characteristics or in case of an upturn in COVID-19 within Iran.

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“…It is not surprising that age may represent the most significant risk factor for death due to COVID-19, 89 , 90 taken into account that also prior human coronaviruses and influenza viruses have been known to impact older people disproportionately. 91 There are very few studies that connect the known mechanisms of aging to the pathogenesis of viruses.…”

Section: Role Of Hypertension and Its Association With Age Race/ethnmentioning

confidence: 99%

Hypertension, a Moving Target in COVID-19

Savoia

Volpe

Kreutz

2021

Circulation Research

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Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associates with a considerable high rate of mortality and represents currently the most important concern in global health. The risk of more severe clinical manifestation of COVID-19 is higher in males and steeply raised with age but also increased by the presence of chronic comorbidities. Among the latter, early reports suggested that arterial hypertension associates with higher susceptibility to SARS-CoV-2 infection, more severe course and increased COVID-19–related deaths. Furthermore, experimental studies suggested that key pathophysiological hypertension mechanisms, such as activation of the renin-angiotensin system (RAS), may play a role in COVID-19. In fact, ACE2 (angiotensin-converting-enzyme 2) is the pivotal receptor for SARS-CoV-2 to enter host cells and provides thus a link between COVID-19 and RAS. It was thus anticipated that drugs modulating the RAS including an upregulation of ACE2 may increase the risk for infection with SARS-CoV-2 and poorer outcomes in COVID-19. Since the use of RAS-blockers, ACE inhibitors or angiotensin receptor blockers, represents the backbone of recommended antihypertensive therapy and intense debate about their use in the COVID-19 pandemic has developed. Currently, a direct role of hypertension, independent of age and other comorbidities, as a risk factor for the SARS-COV-2 infection and COVID-19 outcome, particularly death, has not been established. Similarly, both current experimental and clinical studies do not support an unfavorable effect of RAS-blockers or other classes of first line blood pressure lowering drugs in COVID-19. Here, we review available data on the role of hypertension and its management on COVID-19. Conversely, some aspects as to how the COVID-19 affects hypertension management and impacts on future developments are also briefly discussed. COVID-19 has and continues to proof the critical importance of hypertension research to address questions that are important for global health.

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COVID‐19 is an emergent disease of aging

Cited by 130 publications

References 40 publications

Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience

Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience

Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level

Hypertension, a Moving Target in COVID-19

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