AUTHOR=Zhang Hongzhou , Leng Shuang , Gao Fei , Kovalik Jean-Paul , Wee Hai Ning , Chua Kee Voon , Ching Jianhong , Allen John C. , Zhao Xiaodan , Tan Ru-San , Wu Qinghua , Leiner Tim , Koh Angela S. , Zhong Liang 

TITLE=Characteristics of pulmonary artery strain assessed by cardiovascular magnetic resonance imaging and associations with metabolomic pathways in human ageing

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=11

YEAR=2024

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2024.1346443

DOI=10.3389/fcvm.2024.1346443

ISSN=2297-055X

ABSTRACT=<sec><title>Background</title><p>Pulmonary artery (PA) strain is associated with structural and functional alterations of the vessel and is an independent predictor of cardiovascular events. The relationship of PA strain to metabolomics in participants without cardiovascular disease is unknown.</p></sec><sec><title>Methods</title><p>In the current study, community-based older adults, without known cardiovascular disease, underwent simultaneous cine cardiovascular magnetic resonance (CMR) imaging, clinical examination, and serum sampling. PA global longitudinal strain (GLS) analysis was performed by tracking the change in distance from the PA bifurcation to the pulmonary annular centroid, using standard cine CMR images. Circulating metabolites were measured by cross-sectional targeted metabolomics analysis.</p></sec><sec><title>Results</title><p>Among <italic>n</italic> = 170 adults (mean age 71 ± 6.3 years old; 79 women), mean values of PA GLS were 16.2 ± 4.4%. PA GLS was significantly associated with age (<italic>β </italic>= −0.13, <italic>P </italic>= 0.017), heart rate (<italic>β </italic>=<italic> </italic>−0.08, <italic>P </italic>= 0.001), dyslipidemia (<italic>β </italic>=<italic> </italic>−2.37, <italic>P </italic>= 0.005), and cardiovascular risk factors (<italic>β </italic>=<italic> </italic>−2.49, <italic>P </italic>= 0.001). Alanine (<italic>β </italic>=<italic> </italic>−0.007, <italic>P </italic>= 0.01) and proline (<italic>β </italic>=<italic> </italic>−0.0009, <italic>P </italic>= 0.042) were significantly associated with PA GLS after adjustment for clinical risk factors. Medium and long-chain acylcarnitines were significantly associated with PA GLS (C12, <italic>P </italic>= 0.027; C12-OH/C10-DC, <italic>P </italic>= 0.018; C14:2, <italic>P </italic>= 0.036; C14:1, <italic>P </italic>= 0.006; C14, <italic>P </italic>= 0.006; C14-OH/C12-DC, <italic>P </italic>= 0.027; C16:3, <italic>P </italic>= 0.019; C16:2, <italic>P </italic>= 0.006; C16:1, <italic>P </italic>= 0.001; C16:2-OH, <italic>P </italic>= 0.016; C16:1-OH/C14:1-DC, <italic>P </italic>= 0.028; C18:1-OH/C16:1-DC, <italic>P </italic>= 0.032).</p></sec><sec><title>Conclusion</title><p>By conventional CMR, PA GLS was associated with aging and vascular risk factors among a contemporary cohort of older adults. Metabolic pathways involved in PA stiffness may include gluconeogenesis, collagen synthesis, and fatty acid oxidation.</p></sec>