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Frailty Assessment in an Aging Mouse Model
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Proteomics and frailty: a clinical overview.

Elisa Danese1, Martina Montagnana1, Giuseppe Lippi1

  • 1a Section of Clinical Biochemistry , University of Verona , Verona , Italy.

Expert Review of Proteomics
|July 27, 2018
PubMed
Summary

Proteomics offers a promising multi-marker approach for diagnosing frailty, an age-related condition. Research suggests specific protein profiles in muscle, inflammation, and vascular systems may aid early detection.

Keywords:
Agingdiagnosisfrailtyproteomicssarcopenia

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Area of Science:

  • Gerontology
  • Proteomics
  • Biomarker Discovery

Background:

  • Frailty is a complex geriatric syndrome resulting from age-related deregulation of biological systems, including sarcopenia, hormonal changes, inflammation, and metabolic deficiencies.
  • Its prevalence affects 10-20% of the elderly population and is projected to rise with increasing life expectancy, necessitating effective risk prediction and early diagnosis.
  • Current diagnostic methods lack a single effective laboratory biomarker, highlighting the need for advanced approaches.

Purpose of the Study:

  • To critically review recent proteomic studies investigating protein profiles in frail versus non-frail individuals.
  • To explore the potential of proteomics as a multi-marker strategy for frailty diagnostics.
  • To identify promising proteomic signatures associated with frailty.

Main Methods:

  • Analysis of recent literature on proteomic studies related to frailty.
  • Focus on protein profiles in muscle tissue, chronic inflammation (inflammaging), and vascular/hemostasis systems.
  • Evaluation of the diagnostic and predictive capabilities of identified proteomic signatures.

Main Results:

  • Recent proteomic studies indicate that specific protein profiles in muscle, chronic low-grade inflammation, and vascular/hemostasis systems are associated with frailty.
  • These proteomic signatures show potential for predicting and diagnosing frailty.
  • No single biomarker has proven sufficient, supporting a multi-marker proteomic approach.

Conclusions:

  • Proteomics holds significant potential for the early diagnosis and risk prediction of frailty.
  • A multi-marker approach, focusing on proteomic signatures, is a promising strategy.
  • Larger prospective studies are required to validate these findings for clinical application.