New Study Reveals Pan-Tissue Stemness Decline in Human Aging

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A recent study published in Aging-US sheds light on age-related decline in stemness across various human tissues. Conducted by researchers from the Universidade de Sao Paulo, University of Birmingham, and the University of Liverpool, the study utilized machine learning to analyze stemness signatures in healthy human tissues.

By examining transcriptome data from 17,382 samples across 30 human tissues spanning ages 20 to 79 years, the researchers identified a significant negative correlation between age and stemness scores in approximately 60% of the tissues studied. The uterus showed an exception to this trend, displaying increased stemness with age. Stemness was found to be associated with cell proliferation positively and cellular senescence negatively. Additionally, hematopoietic stem cells from older individuals exhibited higher stemness scores.

The findings of the study suggest a widespread decline in stemness across human tissues as individuals age, indicating a potential link between stem cell deterioration and the aging process.

Reference:
Arantes, G., et al. (2024). Evidence of a pan-tissue decline in stemness during human aging. Aging. doi.org/10.18632/aging.205717.

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Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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