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PLoS Biology· 2020Q1

A proteomic atlas of senescence-associated secretomes for aging biomarker development

Nathan Basisty, Abhijit Kale, Ok Hee Jeon, Chisaka Kuehnemann et al.

Short summary

The "SASP Atlas" database identifies hundreds of proteins secreted by senescent cells, revealing that previously known SASP factors were underestimated in complexity, and pinpoints GDF15, STC1, and SERPINs as potential biomarkers that correlate with age in human plasma.

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Key points

  • The "SASP Atlas" database contains proteomic profiles of hundreds of secreted proteins and exosomal cargo from senescent cells, revealing greater complexity than previously understood.
  • A subset of proteins was found to be elevated in all analyzed senescence-associated secretory phenotypes (SASPs).
  • Growth/differentiation factor 15 (GDF15), stanniocalcin 1 (STC1), and serine protease inhibitors (SERPINs) were identified as candidate biomarkers.
  • These candidate biomarkers significantly correlated with age in plasma samples from the Baltimore Longitudinal Study of Aging human cohort.

AI-generated from the title and abstract; the full text is not read.

Abstract

The senescence-associated secretory phenotype (SASP) has recently emerged as a driver of and promising therapeutic target for multiple age-related conditions, ranging from neurodegeneration to cancer. The complexity of the SASP, typically assessed by a few dozen secreted proteins, has been greatly underestimated, and a small set of factors cannot explain the diverse phenotypes it produces in vivo. Here, we present the "SASP Atlas," a comprehensive proteomic database of soluble proteins and exosomal cargo SASP factors originating from multiple senescence inducers and cell types. Each profile consists of hundreds of largely distinct proteins but also includes a subset of proteins elevated in all SASPs. Our analyses identify several candidate biomarkers of cellular senescence that overlap with aging markers in human plasma, including Growth/differentiation factor 15 (GDF15), stanniocalcin 1 (STC1), and serine protease inhibitors (SERPINs), which significantly correlated with age in plasma from a human cohort, the Baltimore Longitudinal Study of Aging (BLSA). Our findings will facilitate the identification of proteins characteristic of senescence-associated phenotypes and catalog potential senescence biomarkers to assess the burden, originating stimulus, and tissue of origin of senescent cells in vivo.

The authors' abstract, as published at the source. PLoS Biology, 2020 · DOI ↗

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Field: Rheumatology

RheumatologyMedicine