Researchers in genetics have successfully trained an artificial intelligence model to assess the biological age of cells by analyzing gene activity data derived from skin samples of 133 individuals ranging from 1 to 96 years old. In their experiments, they introduced 95 distinct genes into aging cells in a laboratory setting, testing each gene individually. The AI model was instrumental in pinpointing which genes seemed to rejuvenate the cells. The standout candidate was identified as SRSF1, a gene that plays a crucial role in mRNA splicing. Enhancing the activity of SRSF1 led to a noticeable decrease in indicators of cellular aging, such as inflammation and the build-up of damaged proteins. To evaluate if these findings would translate to live subjects, the researchers encapsulated the gene within a viral vector and administered it to older mice. The treated mice exhibited a slower deterioration in their physical health, with age-related frailty occurring an average of 123 days later than in the untreated group. Additionally, their median lifespan was extended by 14% compared to the control mice. However, the precise mechanisms through which SRSF1 induces these anti-aging benefits remain unclear. Moreover, before this method can be investigated as a potential treatment for humans, scientists must ensure it does not heighten cancer risks, as previous research has associated increased SRSF1 levels with tumor formation. Would you consider gene therapy to mitigate aging? Yes, if proven safe! No, I would prefer to allow nature to take its course.
Informational material. 18+.