TY - JOUR
T1 - Metabolic pathways associated with right ventricular adaptation to pulmonary hypertension
T2 - 3D analysis of cardiac magnetic resonance imaging
AU - Attard, Mark I.
AU - Dawes, Timothy J.W.
AU - De Marvao, Antonio
AU - Biffi, Carlo
AU - Shi, Wenzhe
AU - Wharton, John
AU - Rhodes, Christopher J.
AU - Ghataorhe, Pavandeep
AU - Gibbs, J. Simon R.
AU - Howard, Luke S.G.E.
AU - Rueckert, Daniel
AU - Wilkins, Martin R.
AU - O'Regan, Declan P.
N1 - Publisher Copyright:
© 2018 The Author(s) 2018. Published by Oxford University Press on behalf of the European Society of Cardiology.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Aims: We sought to identify metabolic pathways associated with right ventricular (RV) adaptation to pulmonary hypertension (PH). We evaluated candidate metabolites, previously associated with survival in pulmonary arterial hypertension, and used automated image segmentation and parametric mapping to model their relationship to adverse patterns of remodelling and wall stress. Methods and results: In 312 PH subjects (47.1% female, mean age 60.8 ± 15.9 years), of which 182 (50.5% female, mean age 58.6 ± 16.8 years) had metabolomics, we modelled the relationship between the RV phenotype, haemodynamic state, and metabolite levels. Atlas-based segmentation and co-registration of cardiac magnetic resonance imaging was used to create a quantitative 3D model of RV geometry and function - including maps of regional wall stress. Increasing mean pulmonary artery pressure was associated with hypertrophy of the basal free wall (β = 0.29) and reduced relative wall thickness (β = -0.38), indicative of eccentric remodelling. Wall stress was an independent predictor of all-cause mortality (hazard ratio = 1.27, P = 0.04). Six metabolites were significantly associated with elevated wall stress (β = 0.28-0.34) including increased levels of tRNA-specific modified nucleosides and fatty acid acylcarnitines, and decreased levels (β = -0.40) of sulfated androgen. Conclusion: Using computational image phenotyping, we identify metabolic profiles, reporting on energy metabolism and cellular stress-response, which are associated with adaptive RV mechanisms to PH.
AB - Aims: We sought to identify metabolic pathways associated with right ventricular (RV) adaptation to pulmonary hypertension (PH). We evaluated candidate metabolites, previously associated with survival in pulmonary arterial hypertension, and used automated image segmentation and parametric mapping to model their relationship to adverse patterns of remodelling and wall stress. Methods and results: In 312 PH subjects (47.1% female, mean age 60.8 ± 15.9 years), of which 182 (50.5% female, mean age 58.6 ± 16.8 years) had metabolomics, we modelled the relationship between the RV phenotype, haemodynamic state, and metabolite levels. Atlas-based segmentation and co-registration of cardiac magnetic resonance imaging was used to create a quantitative 3D model of RV geometry and function - including maps of regional wall stress. Increasing mean pulmonary artery pressure was associated with hypertrophy of the basal free wall (β = 0.29) and reduced relative wall thickness (β = -0.38), indicative of eccentric remodelling. Wall stress was an independent predictor of all-cause mortality (hazard ratio = 1.27, P = 0.04). Six metabolites were significantly associated with elevated wall stress (β = 0.28-0.34) including increased levels of tRNA-specific modified nucleosides and fatty acid acylcarnitines, and decreased levels (β = -0.40) of sulfated androgen. Conclusion: Using computational image phenotyping, we identify metabolic profiles, reporting on energy metabolism and cellular stress-response, which are associated with adaptive RV mechanisms to PH.
KW - cardiac magnetic resonance imaging
KW - image segmentation
KW - machine learning
KW - metabolomics
KW - pulmonary hypertension
KW - wall stress
UR - http://www.scopus.com/inward/record.url?scp=85066471571&partnerID=8YFLogxK
U2 - 10.1093/ehjci/jey175
DO - 10.1093/ehjci/jey175
M3 - Article
C2 - 30535300
AN - SCOPUS:85066471571
SN - 2047-2404
VL - 20
SP - 668
EP - 676
JO - European Heart Journal Cardiovascular Imaging
JF - European Heart Journal Cardiovascular Imaging
IS - 6
ER -