Urinary Peptidomic Biomarker for Personalized Prevention and Treatment of Diastolic Left Ventricular Dysfunction

Proteomics Clin Appl. 2019 Mar;13(2):e1800174. doi: 10.1002/prca.201800174. Epub 2019 Feb 18.

Abstract

Diastolic heart failure (DHF) is characterized by slow left ventricular (LV) relaxation, increased LV stiffness, interstitial deposition of collagen, and a modified extracellular matrix proteins. Among Europeans, the frequency of asymptomatic diastolic LV dysfunction (DD) is 25%. This constitutes a large pool of people at high risk of DHF. The goal of this review was to describe the discovery and the initial validation of new multidimensional urinary peptidomic biomarkers (UPB) indicative of DD, mainly consisting of collagen fragments, and to describe a roadmap for their introduction into clinical practice. The availability of new drugs creates a window of opportunity for mounting a randomized clinical trial consolidating the clinical applicability of UPB to screen for DD. If successfully completed, such trial will benefit ≈25% of all people older than 50 years and open a large market for a UPB diagnostic tool and the drug tested. Moreover, sequenced peptides making up UPB will generate novel insights in the pathophysiology of DD and facilitate personalized treatment of patients with DHF for whom prevention came too late. If proven cost-effective, the clinical application of UPB will contribute to the sustainability of health care in aging population in epidemiologic transition.

Keywords: diastolic heart failure; diastolic left ventricular dysfunction; population science; urinary peptidomics.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Biomarkers / urine
  • Heart Failure, Diastolic / physiopathology
  • Heart Failure, Diastolic / prevention & control*
  • Heart Failure, Diastolic / therapy*
  • Heart Failure, Diastolic / urine
  • Humans
  • Peptides / urine*
  • Precision Medicine / methods*
  • Proteomics / methods*
  • Ventricular Dysfunction, Left / urine*

Substances

  • Biomarkers
  • Peptides