# Quantitative Proteomics to Develop Robust Senescence-Related Biomarkers for Aging

> **NIH NIH U01** · BUCK INSTITUTE FOR RESEARCH ON AGING · 2020 · $811,526

## Abstract

SUMMARY
Aging entails a plethora of changes at multiple levels – affecting molecules, cells, tissues, organs and
integrated organisms -- which culminate in a concerted decline in overall health and ultimately death. Aging is
also considered a significant risk factor for many conditions and diseases, such as cardiovascular diseases
(CVD), atherosclerosis, sarcopenia, osteoporosis, renal failure and neurodegenerative diseases. Whereas
significant progress has been made in understanding several of the cell intrinsic molecular pathways and
cellular responses that drive aging, it is very challenging to assess the progression of aging and aging-related
conditions, and the field is clearly lacking robust biomarkers for aging. We propose to use our pioneering work
in cellular senescence in combination with state-of-the-art proteomics technologies to develop robust
senescence-related biomarkers of aging. These novel aging biomarkers are expected to become critical
research tools both for transforming the way how to look at human aging and for predicting health outcomes
based on biological age and not chronological age (years of age). In parallel, we will refine these biomarkers
also for animal studies to gain greater insights into mechanisms of Biology of Aging.

## Key facts

- **NIH application ID:** 9906152
- **Project number:** 5U01AG060906-03
- **Recipient organization:** BUCK INSTITUTE FOR RESEARCH ON AGING
- **Principal Investigator:** Birgit Schilling
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $811,526
- **Award type:** 5
- **Project period:** 2018-09-30 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9906152

## Citation

> US National Institutes of Health, RePORTER application 9906152, Quantitative Proteomics to Develop Robust Senescence-Related Biomarkers for Aging (5U01AG060906-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9906152. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*