Proteomic-Biostatistic Integrated Approach for Finding the Underlying Molecular Determinants of Hypertension in Human Plasma

Prathibha R. Gajjala, Vera Jankowski, Georg Heinze, Grzegorz Bilo, Alberto Zanchetti, Heidi Noels, Elisa Liehn, Paul Perco, Anna Schulz, Christian Delles, Felix Kork, Erik Biessen, Krzysztof Narkiewicz, Kalina Kawecka-Jaszcz, Juergen Floege, Davide Soranna, Walter Zidek, Joachim Jankowski*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Web of Science)

Abstract

Despite advancements in lowering blood pressure, the best approach to lower it remains controversial because of the lack of information on the molecular basis of hypertension. We, therefore, performed plasma proteomics of plasma from patients with hypertension to identify molecular determinants detectable in these subjects but not in controls and vice versa. Plasma samples from hypertensive subjects (cases; n=118) and controls (n=85) from the InGenious HyperCare cohort were used for this study and performed mass spectrometric analysis. Using biostatistical methods, plasma peptides specific for hypertension were identified, and a model was developed using least absolute shrinkage and selection operator logistic regression. The underlying peptides were identified and sequenced offline using matrix-assisted laser desorption ionization orbitrap mass spectrometry. By comparison of the molecular composition of the plasma samples, 27 molecular determinants were identified differently expressed in cases from controls. Seventy percent of the molecular determinants selected were found to occur less likely in hypertensive patients. In cross-validation, the overall R-2 was 0.434, and the area under the curve was 0.891 with 95% confidence interval 0.8482 to 0.9349, P

Original languageEnglish
Pages (from-to)412-419
Number of pages8
JournalHypertension
Volume70
Issue number2
DOIs
Publication statusPublished - Aug 2017

Keywords

  • antihypertensive agents
  • blood pressure
  • confidence intervals
  • hypertension
  • proteomics
  • CENTER KINASE FAMILY
  • BLOOD-PRESSURE
  • L-TRYPTOPHAN
  • PULMONARY-HYPERTENSION
  • ANTIHYPERTENSIVE DRUGS
  • ARTERIAL-HYPERTENSION
  • OUTCOME INCIDENCE
  • EUROPEAN-SOCIETY
  • TIGHT JUNCTIONS
  • PROTEINS

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