GoKawiil
Tech News
A team of scientists has compiled a large single-cell gene-expression dataset mapping how brain cells change across aging in mice, published via a Nature-affiliated report. The dataset catalogs expression patterns across numerous cell types and brain regions, intended as a resource for the broader research community.
A study published in Cell introduces a specialized AI toolkit for longevity research, including large language models trained specifically on ageing-biology data, 17 benchmark tasks to evaluate performance on ageing-related questions, and an interface linking these models with AI research assistants. When tested against major commercial models from companies like OpenAI and DeepSeek, the purpose-built ageing models outperformed the larger general-purpose systems on most benchmark tasks.
Researchers publishing in Nature on September 2 found that older female mice given a GLP-1 obesity drug lived longer than untreated mice and showed slower onset of several biological markers linked to aging. The finding builds on earlier mouse studies suggesting GLP-1 medications, typically used for obesity and type 2 diabetes, may have broader anti-aging effects beyond weight loss.
Researchers testing a GLP-1 receptor agonist, the class of drug behind popular weight-loss treatments, observed that female mice given the compound showed slower markers of biological ageing compared to untreated mice. The effect was notably more pronounced in females than in males in the study.
Researchers report that as the human brain ages, its resident immune cells known as microglia are increasingly replaced by cells originating from the bloodstream. This shift in the brain's immune population appears to be a natural part of aging rather than a result of disease.
Nature's audio long read examines growing scientific evidence that unrepaired or poorly repaired DNA damage drives many hallmarks of ageing. Researchers are investigating whether artificially boosting the body's DNA repair mechanisms could extend healthy lifespan. The episode is an audio version of a Nature feature and is available on major podcast platforms.