A Deep-Learning Based Biomarker of Systemic Cellular Senescence Burden to Predict Mortality and Health Outcomes.

Shangshu Zhao¹, Chia-Ling Kuo^1,2, Eric J Lenze³, Julie L Wetherell⁴, Laura Haynes¹, Perla El-Ahmad¹, Richard Fortinsky¹, George Kuchel¹, Trevor Harris⁵, Breno S Diniz^1,3

¹UConn Center on Aging, UConn Health, Farmington, Connecticut, USA.

²Department of Public Health Sciences, UConn Health, Farmington, Connecticut, USA.

³Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.

⁴Department of Psychiatry, University of California San Diego, San Diego, California, USA.

⁵Department of Statistics, University of Connecticut, Storrs, Connecticut, USA.

PubMed DOI

Abstract

The accumulation of senescent cells is a recognized hallmark of biological aging and is associated with the onset of multiple chronic medical conditions. Senescent cells exhibit a distinct secretory profile, known as the senescence-associated secretory phenotype (SASP), which can propagate cellular senescence to neighboring and distant tissues. Measuring SASP factors in blood serves as a practical…

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