Historical dynamics of age-related mortality of men and women in Finland, Sweden, Netherlands, Denmark, England, France, Italy, Japan, Norway, Spain, Switzerland, USA is studied. Men's over-mortality is shown to undergo regular changes in the course of time. A common regularity is found in all the studied countries within the last 50 years: a significant increase of men's over-mortality with a following decrease. A slight change of approximation limits while calculating parameters of the Gompertz equation is shown to be able to result in qualitative changes in dynamics of the parameters, and hence has an influence on the Strehler-Mildvan correlation.
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Exp Gerontol
January 2025
School of Food and Bioengineering, Xihua University, Chengdu 610039, China.
Purpose: The study aims to investigate the therapeutic effects of the aqueous extract of Atractylodes macrocephala Koidz. (AEA) on dexamethasone (Dex) -induced sarcopenia in mice and to explore its possible mechanisms of action.
Methods: This study utilized bioinformatics analysis to explore the primary pathogenic mechanisms of age-related sarcopenia and Dex-induced muscle atrophy.
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
Geroscience
January 2025
State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
Biological brain age is a brain-predicted age using machine learning to indicate brain health and its associated conditions. The presence of an older predicted brain age relative to the actual chronological age is indicative of accelerated aging processes. Consequently, the disparity between the brain's chronological age and its predicted age (brain-age gap) and the factors influencing this disparity provide critical insights into cerebral health dynamics during aging.
View Article and Find Full Text PDFJ Cross Cult Gerontol
January 2025
Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium.
The older population is diversifying. Extensive research has shown the preference of older adults to age in place. Recent research shows that older migrants also prefer to age in place.
View Article and Find Full Text PDFCerebrospinal fluid (CSF) dynamics, driven by sensory stimulation-induced neuronal activity, is crucial for maintaining homeostasis and clearing metabolic waste. However, it remains unclear whether such CSF flow is impaired in age-related neurodegenerative diseases of the visual system. This study addresses this gap by examining CSF flow during visual stimulation in glaucoma patients and healthy older adults using functional magnetic resonance imaging.
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