For thousands of years, the notion that human health and performance are concomitant with the health and diversity of the microbiome has been deliberated upon [...].

/pdf/microbiome-and-one-health-potential-of-novel-metabolites-2ih3h7pb.pdf

Microbiome and One Health: Potential of Novel Metabolites from the Gut Microbiome of Unique Species for Human Health

Growth and aging are fundamental features of animal life. The march from fertilization to oblivion comes in enormous variety: days and hundreds of cells for nematodes, decades and trillions of cells for humans. 1-4 Since Verhulst (1838 5 ) proposed the Logistic Equation - exponential growth with a countervailing linear decline in rate – biologists have searched for ever better density-dependent growth equations, 6-12 none of which accurately capture the relationship between size and time for real animals. 13-15 Furthermore, while growth and aging run in parallel, whether the relationship is causal has yet to be determined. Similarly unknown has been the reason behind the exponential Force of Mortality , described by Gompertz in 1825 for all-cause mortality 16 and reported by Levin et al. in 2020 for COVID-19. 17 Here we report that examination in units of numbers of cells, N, Cellular Phylodynamic Analysis , 6 reveals that growth, lifespan, and mortality, are linked to the reduction in the fraction of cells dividing, occurring by a simple expression, the Universal Mitotic Fraction Equation . Lifespan is correlated with an age when fewer than one-in-a-thousand cells are dividing, quantifying the long-appreciated mechanism of aging, the failure of cells to be rejuvenated by dilution with new materials made and DNA repaired at mitosis. 29-31 These observations provide practical mathematical tools for comprehending and managing the challenges of growth and aging, for such tasks as deciphering COVID-19 lethality and its amelioration by vaccination. 

/pdf/counting-cells-by-age-tells-us-about-how-and-why-and-when-we-2do4vaqk.pdf

Counting Cells by Age Tells Us About How, and Why, and When, We Grow, and Become Old and Ill

Studies on numerous species have demonstrated strikingly conserved mechanisms that determine the aging process, from yeasts to worms, flies, zebrafish, mice, and humans. The fruit fly 

An Introductory Guide to Using Bloomington Drosophila Stock Center and FlyBase for Aging Research

Growth and aging are fundamental features of animal life. The march from fertilization to oblivion comes in enormous variety: days and hundreds of cells for nematodes, decades and trillions of cells for humans.1-4 Since Verhulst (18385) proposed the Logistic Equation - exponential growth with countervailing linear decline in rate – biologists have searched for ever better density dependent growth equations,6-12 none which accurately capture the relationship between size and time for real animals.13-15 Furthermore, while growth and aging run in parallel, whether the relationship is causal has been unknown. Here we show, by examining growth and lifespan in units of numbers of cells, N, (Cellular Phylodynamics6), that both processes are linked to the same reduction in the fraction of cells dividing, occurring by a simple expression, the Universal Mitotic Fraction Equation. Lifespan is correlated with an age when fewer than one-in-a-thousand cells are dividing, quantifying the long-appreciated mechanism of aging, the failure of cells to be rejuvenated by dilution with new materials made, and DNA repaired, at mitosis.24-26 These observations provide practical mathematical expressions for comprehending, and managing, the challenges of growth and aging, for such tasks as improving the effectiveness of COVID-19 vaccination in the elderly.

On How, and Why, and When, We Grow Old

SUMMARY:In plastic surgery and cosmetic dermatology, photographic data are an invaluable element of research and clinical practice. Additionally, the use of before and after images is a standard documentation method for procedures, and these images are particularly useful in consultations for effective communication with the patient. An artificial intelligence (AI)-based approach has been proven to have significant results in medical dermatology, plastic surgery, and antiaging procedures in recent years, with applications ranging from skin cancer screening to 3D face reconstructions, the prediction of biological age and perceived age. The increasing use of AI and computer vision methods is due to their noninvasive nature and their potential to provide remote diagnostics. This is especially helpful in instances where traveling to a physical office is complicated, as we have experienced in recent years with the global coronavirus pandemic. However, one question remains: how should the results of AI-based analysis be presented to enable personalization? In this paper, the author investigates the benefit of using gender- and age-specific scales to present skin parameter scores calculated using AI-based systems when analyzing image data.

Artificial Intelligence Confirming Treatment Success: the Role of Gender- and Age-Specific Scales in Performance Evaluation.

Aging is the single largest risk factor for most chronic diseases, and thus possesses large socioeconomic interest to continuously aging societies. Consequently, the field of aging research is expanding alongside a growing focus from the industry and investors in aging research. This year’s 8th Annual Aging Research and Drug Discovery (ARDD) meeting was organized as a hybrid meeting from August 30th to September 3rd 2021 with more than 130 attendees participating on-site at the Ceremonial Hall at University of Copenhagen, Denmark, and 1800 engaging online. The conference comprised of presentations from 75 speakers focusing on new research in topics including mechanisms of aging and how these can be modulated as well as the use of AI and new standards of practices within aging research. This year, a longevity workshop was included to build stronger connections with the clinical community.

/pdf/meeting-report-aging-research-and-drug-discovery-1l0oqb8l.pdf

Meeting Report: Aging Research and Drug Discovery

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Meeting Report: Aging Research and Drug Discovery