Extracellular volume by cardiac magnetic resonance is associated with biomarkers of inflammation in hypertensive heart disease
Autor: | Peter W. Shaw, Sujith Kuruvilla, Li-Ming Gan, Christopher M. Kramer, Erik Michaëlsson, Jonathan A. Pan, Ellen C. Keeley, Michael Salerno |
---|---|
Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
Physiology 030204 cardiovascular system & hematology Systemic inflammation Left ventricular hypertrophy Muscle hypertrophy 03 medical and health sciences 0302 clinical medicine Internal medicine Extracellular fluid Internal Medicine medicine Humans cardiovascular diseases 030212 general & internal medicine Inflammation OPLS medicine.diagnostic_test business.industry Myocardium Heart Magnetic resonance imaging medicine.disease Magnetic Resonance Imaging Hypertensive heart disease Hypertension Cardiology Biomarker (medicine) Hypertrophy Left Ventricular medicine.symptom Cardiology and Cardiovascular Medicine business Biomarkers |
Zdroj: | Journal of Hypertension. 37:65-72 |
ISSN: | 0263-6352 |
Popis: | Objectives Cardiac magnetic resonance (CMR) provides a unique approach to the characterization of hypertensive heart disease (HHD), enabling the measurement of left ventricular mass and expansion of extracellular volume (ECV). Combining plasma biomarkers with CMR could provide potential insights into the pathophysiological mechanisms in ventricular remodelling. Methods In this study, we estimated correlations between plasma biomarkers and CMR parameters of HHD. Patients with a history of hypertension with or without left ventricular hypertrophy (LVH) and healthy volunteers (17 hypertensive non-LVH, 13 hypertensive LVH and 11 controls) underwent CMR on a Siemens 1.5T Avanto. T1 mapping was performed before (native T1) and serially after injection of 0.15 mmol/kg gadolinium-DTPA. Mean ECV and left ventricular mass index (LVMI) were determined. Blood samples were obtained and analysed using the Olink CVD 92-plex biomarker panel. Results Individual groups were compared on the basis of 91 plasma biomarkers using partial least squares discriminant analysis (PLS-DA). ECV and LVMI were correlated with the 91 distinct plasma biomarkers via orthogonal projection to latent structures by partial least square (OPLS) analysis. A two-dimensional PLS-DA explained 49% of the differences between the three groups. OPLS analysis showed that four plasma biomarkers were significantly correlated to both ECV and LVMI, eight were significantly correlated with LVMI only and 11 were significantly correlated to ECV only. Conclusion ECV and LVMI correlate differentially in plasma biomarker patterns. Top predictors of ECV consisted of well established biomarkers of systemic inflammation and metabolic function. |
Databáze: | OpenAIRE |
Externí odkaz: |