A new NIH-funded study has uncovered that brain cells age differently, with some types experiencing more significant age-related changes in genetic activity than others. The research, published in Nature, provides a detailed map of how aging affects various brain cells, potentially reshaping our understanding of brain aging and age-related disorders.
Scientists analyzed individual cells from young (2-month-old) and aged (18-month-old) mouse brains, examining genetic activity across 16 brain regions. The study revealed decreased activity in genes associated with neuronal circuits, affecting both neurons and glial cells. Conversely, genes linked to brain immunity and inflammation showed increased activity with age.
Some cell types exhibited heightened sensitivity to aging. For instance, the development of newborn neurons, which play roles in learning, memory, and smell recognition, was reduced in at least three brain areas. The most age-sensitive cells were found surrounding the third ventricle in the hypothalamus, a region crucial for controlling basic bodily functions.
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According to Richard J. Hodes, director of NIH's National Institute on Aging, "These results provide a highly detailed map for which brain cells may be most affected by aging." He added that this new map could guide the development of treatments for age-related brain diseases.
The research team, led by scientists from the Allen Institute for Brain Science, employed advanced brain mapping tools developed through the NIH BRAIN Initiative. They examined over 1.2 million brain cells, representing about 1% of total brain cells in mice.
John Ngai, director of The BRAIN Initiative®, emphasized the importance of this global approach to brain study, noting that it offers new insights into brain aging and how neurodegenerative diseases might disrupt normal aging processes.
This study aligns with previous research linking aging to body metabolism and the effects of calorie-restricting diets on lifespan. While more research is needed to explore the underlying biological mechanisms and potential links to human health, this work represents a significant step forward in understanding the complexities of brain aging.