The field of longevity medicine not only holds promise for extending life but also emphasizes increasing the number of years that individuals live in good health, known as “healthspan.” As the global population ages, this field is becoming increasingly important in addressing the needs of an older population and reducing the burden of age-related health issues.
There are 8 root causes responsible for most chronic disease. The I.N.T.E.G.R.A.L model was invented and designed by Dr Graham Simpson. The model has now been implemented using AI, real-time mobile technology, medically supervised, with trained doctors and health coaches to guide clients through the program of their choice every step of the way. …
Title: Glucose-Restriction Induced Longevity: Mechanisms and Implication Abstract Glucose restriction (GR) has emerged as a potent intervention in promoting longevity and improving healthspan across various model organisms. This article reviews the underlying biological mechanisms of glucose-restriction induced longevity, explores the evolutionary basis of its benefits, and discusses the translational potential of these findings to human…
Longevity medicine is a burgeoning field of medicine focused on the science of aging and the extension of human lifespan. This field seeks to understand the biological processes that lead to aging and age-related diseases with the goal of developing interventions that can not only increase lifespan but also improve the health and quality of…
Introduction Mitochondria are important organelles that are constantly moving and involved in producing ATP, maintaining calcium levels, responding to oxidative stress, and regulating cell death. If mitochondria become dysfunctional or damaged, it can have serious consequences including cell death. It is crucial to keep mitochondria functioning properly for overall cell health. Mitophagy is a process…
Aging (Albany NY). 2024 Apr 4;16. doi: 10.18632/aging.205717. Online ahead of print.
ABSTRACT
Despite their biological importance, the role of stem cells in human aging remains to be elucidated. In this work, we applied a machine learning methodology to GTEx transcriptome data and assigned stemness scores to 17,382 healthy samples from 30 human tissues aged between 20 and 79 years. We found that ~60% of the studied tissues exhibit a significant negative correlation between the subject’s age and stemness score. The only significant exception was the uterus, where we observed an increased stemness with age. Moreover, we observed that stemness is positively correlated with cell proliferation and negatively correlated with cellular senescence. Finally, we also observed a trend that hematopoietic stem cells derived from older individuals might have higher stemness scores. In conclusion, we assigned stemness scores to human samples and show evidence of a pan-tissue loss of stemness during hu..