Jan 17, 2020

Stage is set to develop clinically relevant, senescence-based biomarkers of aging

Posted by in categories: biotech/medical, life extension

Researchers at the Buck Institute have extensively profiled the various inflammatory signals given off by senescent human cells and have generated a curated database available for use in the field.

Senescent cells, which stop dividing under stress, are long- recognized drivers of multiple diseases of aging. Mouse studies have shown that targeted removal of these cells and the inflammatory factors they secrete, known as the senescence-associated secretory phenotype (SASP), has beneficial results on multiple organ systems and functions. Success in the laboratory has given rise to companies and research projects aimed at developing either senolytics, drugs that clear senescent cells, or senomorphics, drugs that suppress the SASP. But drug development and clinical utilization require simple, reliable biomarkers to assess the abundance of senescent cells in human tissues. Publishing in PLOS Biology, researchers at the Buck Institute have extensively profiled the SASP of human cells and have generated a curated database available for use in the field.

“The stage is now set for the development of clinically-relevant biomarkers of aging,” said Judith Campisi, Ph.D., Buck professor and one of the senior authors on the paper. “This will speed efforts to get safe and effective drugs into the clinic and, in the long term, could enable physicians to give patients a clear read-out of how well, or poorly, their various tissues and organs are aging.”

The study, led by postdoc Nathan Basisty, Ph.D., expanded the number of proteins known to be secreted by human by about 10-fold, to over 1000. Researchers show that a ‘core’ set of senescence factors, which were secreted by all types of senescent cells studied, are significantly increased in human plasma as we age, and may be the basis for developing “whole body” biomarkers of aging, and biomarkers to assess the efficacy of senolytics and senomorphics in human trials. Using advanced proteomic analysis, researchers also propose signatures that identify specific subsets of senescent cells.

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