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Koh AS, Siau A, Gao F, Chioh FW, Leng S, Zhao X, Zhong L, Tan RS, Koh PL, Kovalik JP, Lim WS, Lee GS, Koh WP, Cheung C. Left Atrial Phasic Function in Older Adults Is Associated with Fibrotic and Low-Grade Inflammatory Pathways. Gerontology 2022; 69:47-56. [PMID: 35316808 PMCID: PMC9492896 DOI: 10.1159/000522632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 02/15/2022] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Concomitant risk factors challenge the mechanistic understanding of cardiac aging. We determined the degree to which the left atrial function could be distinguished by advanced cardiac magnetic resonance (CMR) imaging in older adults and assessed associations between the left atrial function and the plasma biomarkers related to biological aging and cardiovascular disease [serum monocyte chemoattractant protein-1 (MCP1), matrix metallopeptidase 9 (MMP-9), B-type natriuretic peptides (BNPs), galectin-3 (Gal-3), high-sensitivity cardiac troponin I (hsTn1), high-sensitivity C-reactive protein (hs-CRP), and soluble urokinase plasminogen activator receptor (sUPAR)]. METHODS Among a cross-sectional population-based cohort of older adults, longitudinal LA strain including reservoir strain (εs), conduit strain (εe), and booster strain (εa) as well as peak strain rates (SRs, SRe, SRa) were determined using CMR and studied in association with blood biomarkers. RESULTS We studied 243 community adults (42.8% female, mean age 70.3 ± 9.5 years). In bivariate analysis, εe and SRe were reduced in gradation with increasing risk factors (all p values <0.0001). Corresponding levels of sUPAR (ng/mL) were quantitatively higher in older adults with <2 risk factors (2.5 ± 1.6 vs. 1.7 ± 1.3, p = 0.0005), in those with ≥2 risk factors (3.3 ± 2.4 vs. 1.7 ± 1.3, p < 0.0001), compared to young adults; including between older adults with ≥2 risk factors and older adults with <2 risk factors (3.3 ± 2.4 vs. 2.5 ± 1.6, p = 0.017). Based on multivariate analysis, sUPAR was significantly associated with both εe (OR 1.52, p = 0.006) and SRe decline (OR 1.5, p = 0.019). The associations between Gal-3 and εe reduction (OR 1.2, p = 0.022) and between BNP and SRe decline were generally weaker (OR 1.03, p = 0.027). The addition of sUPAR to a model consisting of age, risk factors, Gal-3, and BNPs increased the area under the curve of εe from 0.72 to 0.77 (p = 0.015). CONCLUSION By advanced CMR imaging, a panel of circulating biomarkers comprising galectin, MMP-9 and sUPAR were associated with left atrial dysfunction in older adults. Higher levels of Gal-3 and MMP-9 may be suggestive of fibrotic mechanisms in left atrial aging while impairments in left atrial strain seen in association with circulating sUPAR may be related to immune activation in the left atrium in response to left atrial remodeling and fibrotic processes.
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Affiliation(s)
- Angela S. Koh
- National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, Singapore, Singapore,*Angela S. Koh,
| | - Anthony Siau
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Fei Gao
- National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, Singapore, Singapore
| | - Florence W.J. Chioh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Shuang Leng
- National Heart Centre Singapore, Singapore, Singapore
| | - Xiaodan Zhao
- National Heart Centre Singapore, Singapore, Singapore
| | - Liang Zhong
- National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, Singapore, Singapore
| | - Ru San Tan
- National Heart Centre Singapore, Singapore, Singapore,Duke-NUS Medical School, Singapore, Singapore
| | | | - Jean-Paul Kovalik
- Duke-NUS Medical School, Singapore, Singapore,Singapore General Hospital, Singapore, Singapore
| | - Wee Shiong Lim
- Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore, Singapore
| | - Gina S. Lee
- National Heart Centre Singapore, Singapore, Singapore
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - Christine Cheung
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore,**Christine Cheung,
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Development of a prediction model for mortality and cardiovascular outcomes in older adults taking into account AZGP1. Sci Rep 2021; 11:11792. [PMID: 34083628 PMCID: PMC8175433 DOI: 10.1038/s41598-021-91169-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/20/2021] [Indexed: 12/25/2022] Open
Abstract
Zinc-alpha 2-glycoprotein (AZGP1) is a serum protein with postulated functions in metabolism, cancer and cardiovascular disease. We developed new prediction models for mortality or cardiovascular events investigating the predictive potential of serum AZGP1 in a community-based cohort of older adults. We measured AZGP1 (μg/ml) in stored serum samples of 930 individuals of the Berlin Initiative Study, a prospective, population-based cohort of adults aged ≥ 70. We determined the prognostic potential of 20 knowledge-based predictors including AZGP1 for the outcomes of mortality or the composite endpoint of death and cardiovascular events (stroke, myocardial infarction (MI)) using Cox models; their model fit was evaluated with calibration plots, goodness-of-fit tests and c-indices. During median follow-up of 48.3 months, 70 incident strokes, 38 incident MI and 234 deaths occurred. We found no associations or correlations between AZGP1 and other candidate variables. After multivariable Cox regression with backward-selection AZGP1 remained in both models for mortality (HR = 0.44, 95%CI: 0.24–0.80) and for the composite endpoint (HR = 0.43, 95%CI: 0.23–0.82). Within newly built prediction models, we found that increased AZGP1 levels were predictive for lower risk of mortality and the composite endpoint in older adults. AZGP1 as a predictor warrants further validation in older adults.
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