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<meta name="description" content="Using a technique they developed for studying eye fluid, Stanford Medicine researchers and their collaborators have found a way to measure ocular aging, opening avenues for treatment of numerous eye diseases." />
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<p>Stanford Medicine researchers build an eye "aging clock" that could lead to treatments for ocular diseases</p><p>Using a technique they developed for studying eye fluid, Stanford Medicine researchers and their collaborators have found a way to measure ocular aging, opening avenues for treatment of numerous eye diseases.</p><p>The scientists looked at nearly 6,000 proteins in the fluid and found that they can use 26 of them to predict aging. Using artificial intelligence, they developed an eye-aging “clock,” indicating which proteins accelerate aging in each disease and revealing new potential targets for therapies.</p><p>The study was published Oct. 19 in Cell. Vinit Mahajan, M.D., Ph.D., a professor of ophthalmology, is the senior author, and Julian Wolf, M.D., a postdoctoral scholar in Mahajan’s lab, is the lead author of the paper.</p><p>Mahajan and his colleagues intend to apply the clock method to other bodily fluids to develop more effective drugs for a variety of diseases.</p><p>To glean the most information possible with small, renewable samples, Mahajan and his team developed a technique — TEMPO, or tracing expression of multiple protein origins. By tracing proteins to a type of cell where the RNA that creates the proteins resides, TEMPO enables the scientists to understand the cellular origin of disease-driving proteins with the hope that eventually they can target the cells with personalized medical treatments.</p>
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<p>Vinit Mahajan and colleagues at Stanford University used artificial intelligence to identify a subset of proteins that can predict the age of the human eye. Clocks were also created that predict the age of specific cells. In a study of human eye fluid, they found that eye diseases accelerated the eye's biological age.</p>
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