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New microbiome-based predictive models to forecast human health outcomes

A new approach that uses artificial intelligence (AI) shows how to use microorganisms in the body and molecules in cells to predict human health outcomes, according to Penn State College of Medicine and University of Texas Southwestern Medical Center researchers. ....

University Of Texas Southwestern Medical Center , United States , Southern Methodist University , Bo Li , Xiaowei Zhan , Ruichen Rong , Jiwoong Kim , Andrewy Koh , Qiwei Li , Emily Henderson , Sen Yang , Shidan Wang , Yiqing Wang , Guanghua Xiao , Dajiang Liu , University Of Texas At Dallas , Penn State College Of Medicine , Penn State College , Texas Southwestern Medical Center , Texas Southwestern Medical ,

Giving cells an appetite for viruses


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IMAGE: A UT Southwestern study identified a gene used in the cellular recycling process called autophagy that rids cells of viruses. The above illustration breaks down the steps involved in this.
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Credit: UT Southwestern Medical Center
DALLAS - Dec. 16, 2020 - A team led by UT Southwestern researchers has identified a key gene necessary for cells to consume and destroy viruses. The findings, reported online today in
Nature, could lead to ways to manipulate this process to improve the immune system s ability to combat viral infections, such as those fueling the ongoing COVID-19 pandemic.
Scientists have long known that cells use a process called autophagy to rid themselves of unwanted material. Autophagy, which translates as self-eating, involves isolating cellular garbage in double-layered vesicles called autophagosomes, which are then fused with single-layered vesicles known as lysosomes to degrade the materials inside and re ....

Al Qalyubiyah , United States , Johnw Schoggins , Yang Xie , Marnie Wildenthal , Liwei Wang , R Blake Richardson , Elizabethr Aguilera , Rui Zhong , Yuting Yang , Xiao Zang , Xuewu Zhang , Zhongju Zou , Lin Zhong , Madhura Bhave , Patsyr Nasher , Mary Dees Mcdermott Hicks , Beth Levine , Yi Chun Kuo , Xiaonan Dong , Sandral Schmid , Eugenep Frenkel , Nancy Cain , Guanghua Xiao , Julie Pfeiffer , Ramnikj Xavier ,