Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Urinary Proteomics Pilot Study for Biomarker Discovery and Diagnosis in Heart Failure with Reduced Ejection Fraction

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Protocol: Benefits and harms of remdesivir for COVID-19 in adults: A systematic review with meta-analysis

    Publikation: Bidrag til tidsskriftReviewForskningpeer review

  2. Carotid plaque thickness is increased in chronic kidney disease and associated with carotid and coronary calcification

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Investigating the inflammation marker neutrophil-to-lymphocyte ratio in Danish blood donors with restless legs syndrome

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Return to work after COVID-19 infection - A Danish nationwide registry study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Impact of Sacubitril/Valsartan Versus Ramipril on Total Heart Failure Events in the PARADISE-MI Trial

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Reply: Accelerometers: A Useful Technology in HF Research?

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

BACKGROUND: Biomarker discovery and new insights into the pathophysiology of heart failure with reduced ejection fraction (HFrEF) may emerge from recent advances in high-throughput urinary proteomics. This could lead to improved diagnosis, risk stratification and management of HFrEF.

METHODS AND RESULTS: Urine samples were analyzed by on-line capillary electrophoresis coupled to electrospray ionization micro time-of-flight mass spectrometry (CE-MS) to generate individual urinary proteome profiles. In an initial biomarker discovery cohort, analysis of urinary proteome profiles from 33 HFrEF patients and 29 age- and sex-matched individuals without HFrEF resulted in identification of 103 peptides that were significantly differentially excreted in HFrEF. These 103 peptides were used to establish the support vector machine-based HFrEF classifier HFrEF103. In a subsequent validation cohort, HFrEF103 very accurately (area under the curve, AUC = 0.972) discriminated between HFrEF patients (N = 94, sensitivity = 93.6%) and control individuals with and without impaired renal function and hypertension (N = 552, specificity = 92.9%). Interestingly, HFrEF103 showed low sensitivity (12.6%) in individuals with diastolic left ventricular dysfunction (N = 176). The HFrEF-related peptide biomarkers mainly included fragments of fibrillar type I and III collagen but also, e.g., of fibrinogen beta and alpha-1-antitrypsin.

CONCLUSION: CE-MS based urine proteome analysis served as a sensitive tool to determine a vast array of HFrEF-related urinary peptide biomarkers which might help improving our understanding and diagnosis of heart failure.

OriginalsprogEngelsk
TidsskriftP L o S One
Vol/bind11
Udgave nummer6
Sider (fra-til)e0157167
ISSN1932-6203
DOI
StatusUdgivet - 2016

ID: 49757683