September 13th, 2024

Slowing the Pace of Brain Aging

Recent studies reveal brain aging varies among individuals, linking it to mortality. Factors like genetics, lifestyle, and chronic pain influence aging, while p-Tau217 may predict Alzheimer's risk.

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Slowing the Pace of Brain Aging

Recent studies have advanced the understanding of brain aging, highlighting its variability among individuals and its association with mortality. Research utilizing high-throughput plasma proteins and brain imaging has identified distinct patterns of brain atrophy linked to cognitive decline and Alzheimer's disease. Notably, a pattern associated with medial temporal lobe atrophy showed a significant risk for progression from normal cognition to mild cognitive impairment. Factors influencing brain aging include genetics, lifestyle, and environmental conditions, with exercise and glucose regulation emerging as critical modifiable elements. A study indicated that higher cardiorespiratory fitness correlates with better brain health, while another linked glycemic status to brain age gaps. Chronic musculoskeletal pain, particularly knee osteoarthritis, was also associated with accelerated brain aging. The integration of large cohort studies and AI models has facilitated these insights, paving the way for potential interventions to slow brain aging. A promising blood biomarker, p-Tau217, has been identified for predicting Alzheimer's risk. Ongoing projects, such as NEURii in Scotland, aim to further explore brain aging and its modulators, offering hope for maintaining cognitive health amid the aging process.

- Brain aging shows significant inter-individual variability and is linked to mortality.

- Lifestyle factors, including exercise and glucose regulation, can influence the pace of brain aging.

- Chronic musculoskeletal pain, especially knee osteoarthritis, is associated with accelerated brain aging.

- AI models and large cohort studies are crucial for understanding brain aging mechanisms.

- A new blood biomarker, p-Tau217, has been identified for predicting Alzheimer's disease risk.

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By @yapyap - 4 months
To measure your own brain age would be a significant dilemma for me (and most people I think), cause if you attribute any significance to it you could start blaming the inability to learn something (when sometimes you just have to keep trying) onto yet another factor you can’t control.

Just talking off the top of my head though