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Federal researchers confront growing uncertainty about future

The biological aging acceleration predicts both morbidity and mortality, while few investigations have examined its utility in evaluating transitions, e.g. development patterns, of atrial fibrillation (AF) and dementia. We aimed to investigate the utility of biological aging acceleration in predicting transitions of AF and dementia. A total of 402,955 participants (mean [SD] age: 56.5 [8.1] years; men: 45.9%) in the UK Biobank were included. Biological age was calculated using the phenotypic...

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Measuring biological aging-the underlying rate of physiological decline-has become increasingly important in predicting disease risk, guiding personalized health strategies, and advancing age-targeted therapeutics. Unlike chronological age, biological age provides a more accurate reflection of an individual's functional health and longevity potential. DNA methylation-based epigenetic clocks are established tools for estimating biological age, but existing assays often require hundreds to...

CONCLUSION: This study highlights the need to monitor body changes in older adults and develop targeted health strategies to support successful aging.

Lymphangioleiomyomatosis (LAM) is a rare disease of women in which TSC2 deficient 'LAM cells' with dysregulated mTOR signalling and recruited fibroblasts form nodules causing lung cysts and respiratory failure. We examine if mTOR dysregulation can induce senescence and impair the response to lung injury in LAM. The senescence markers p21, p16 and the SenMayo gene set are increased in LAM lungs and colocalise with alveolar type 2 cells. LAM models induce mTOR dependent senescence in alveolar type...

This study investigated how the timing and duration of 30% caloric restriction (CR) affect ovarian aging in mice. Mice were assigned to one of four groups: ad libitum (AL) control, long-term CR (3-11 months; CR/CR), early short-term CR (3-7 months; CR/AL), and late short-term CR (7-11 months; AL/CR). Long-term CR reduced body mass, improved insulin sensitivity, preserved the ovarian primordial follicle reserve, and attenuated ovarian macrophage infiltration compared to AL-fed mice. Metabolic...

We propose a new theory for aging based on dynamical systems and provide a data-driven computational method to quantify the changes at the cellular level. We use ergodic theory to decompose the dynamics of changes during aging and show that aging is fundamentally a dissipative process within biological systems, akin to dynamical systems where dissipation occurs due to non-conservative forces. To quantify the dissipation dynamics, we employ a transformer-based machine learning algorithm to...

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CONCLUSION: This review outlines multiple RMSs used for elderly individuals at risk for complications. Although the effectiveness of RMSs may depend on the content and level of responsiveness, our review underscores the necessity for further empirical research into telemonitoring interventions to fully understand their impact on elderly health outcomes and healthcare systems resources.

Decomposing behavior into elementary components remains a central challenge in computational neuroethology. The current standard in laboratory animals involves multi-view video tracking, which, while providing unparalleled access to full-body kinematics, imposes environmental constraints, is data-intensive, and has limited scalability. We present an alternative approach using inertial sensors, which capture high-resolution, environment-independent, compact 3D kinematic data, and are commonly...

The mouse is a tractable model for human ovarian biology, however its utility is limited by incomplete understanding of how transcription and signaling differ interspecifically and with age. We compared ovaries between species using three-dimensional imaging, single-cell transcriptomics, and functional studies. In mice, we mapped declining follicle numbers and oocyte competence during aging; in human ovaries, we identified cortical follicle pockets and decreases in density. Oocytes had...