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Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing

AIMS: Galectin‐3 (Gal‐3) is implicated in the pathogenesis of heart failure and is also influenced by ageing. This study aims to determine the extent to which Gal‐3 levels estimate odds of myocardial dysfunction in ageing cohorts, ‘upstream’ prior to clinical disease. METHODS AND RESULTS: Four hundr...

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Autores principales: Keng, Bryan M.H., Gao, Fei, Ewe, See Hooi, Tan, Ru San, Teo, Louis L.Y., Xie, Bei Qi, Koh, Woon‐Puay, Koh, Angela S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816233/
https://www.ncbi.nlm.nih.gov/pubmed/31392851
http://dx.doi.org/10.1002/ehf2.12495
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author Keng, Bryan M.H.
Gao, Fei
Ewe, See Hooi
Tan, Ru San
Teo, Louis L.Y.
Xie, Bei Qi
Koh, Woon‐Puay
Koh, Angela S.
author_facet Keng, Bryan M.H.
Gao, Fei
Ewe, See Hooi
Tan, Ru San
Teo, Louis L.Y.
Xie, Bei Qi
Koh, Woon‐Puay
Koh, Angela S.
author_sort Keng, Bryan M.H.
collection PubMed
description AIMS: Galectin‐3 (Gal‐3) is implicated in the pathogenesis of heart failure and is also influenced by ageing. This study aims to determine the extent to which Gal‐3 levels estimate odds of myocardial dysfunction in ageing cohorts, ‘upstream’ prior to clinical disease. METHODS AND RESULTS: Four hundred seventy‐five asymptomatic subjects underwent simultaneous assessments of cardiovascular structure and function, with measurements of circulating Gal‐3. Myocardial dysfunction was defined as impaired myocardial relaxation (ratio of peak velocity flow in early diastole E (m/s) to peak velocity flow in late diastole by atrial contraction A (m/s) <0.84) (mean E/A ratio 0.84 in the cohort). Of 475 subjects (mean age 68 ± 12 years, 231 women), 222 (47%) had myocardial dysfunction. Subjects with myocardial dysfunction were older (mean age 73 ± 5 vs. 64 ± 14 years, P < 0.0001), and more had hypertension (59 vs. 40%, P < 0.0001), dyslipidaemia (54 vs. 39%, P = 0.001), diabetes mellitus (25 vs. 14%, P = 0.002), higher body mass index (BMI) (24 vs. 23 kg/m(2), P = 0.002), and higher heart rate (76 vs. 71 b.p.m., P = 0.0001). Participants with impaired myocardial relaxation had lower peak velocity flow in early diastole E (0.6 ± 0.1 vs. 0.8 ± 0.2 m/s, P < 0.0001), higher peak velocity flow in late diastole by atrial contraction A (0.9 ± 0.1 vs. 0.7 ± 0.2 m/s, P < 0.0001), and higher mitral valve flow deceleration time (224.7 ± 43.2 vs. 204.8 ± 33.1 m/s, P < 0.0001). Participants with impaired myocardial relaxation had higher Gal‐3 levels (17.2 ± 6.2 vs. 15.5 ± 4.1, P = 0.0004) but similar B‐type natriuretic peptide (37 ± 4 vs. 34 ± 29, P = 0.37) and high‐sensitivity troponin I (21 ± 72 vs. 11 ± 41, P = 0.061) levels and urine microalbumin‐to‐creatinine ratio (4.6 ± 8.1 vs. 4.2 ± 10.8, P = 0.75) compared with those without impaired myocardial relaxation. After multivariable adjustments, Gal‐3 [odds ratio (OR) 1.05, 95% confidence interval (CI) 1.00–1.10, P = 0.039], age (OR 2.60, 95% CI 1.64–4.11, P < 0.0001), BMI (OR 2.16, 95% CI 1.44–3.23, P < 0.0001), and heart rate (OR 1.04, 95% CI 1.02–1.06, P < 0.0001) were associated with impaired myocardial relaxation. Adjusted ORs (95% CI) for myocardial dysfunction were 1.0 (ref), 1.62 (0.92–2.85), 1.92 (1.08–3.41), and 2.01 (1.11–3.66) across consecutive quartiles of Gal‐3 after adjustment for age, BMI, risk factors, and heart rate. CONCLUSIONS: Among asymptomatic community‐dwelling elderly adults, the highest quartile of Gal‐3 was associated with two‐fold increased odds of myocardial dysfunction compared with the lowest quartile of Gal‐3. Gal‐3 may have a role as an ‘upstream’ biomarker in estimating odds of myocardial ageing prior to clinical disease.
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spelling pubmed-68162332019-10-31 Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing Keng, Bryan M.H. Gao, Fei Ewe, See Hooi Tan, Ru San Teo, Louis L.Y. Xie, Bei Qi Koh, Woon‐Puay Koh, Angela S. ESC Heart Fail Original Research Articles AIMS: Galectin‐3 (Gal‐3) is implicated in the pathogenesis of heart failure and is also influenced by ageing. This study aims to determine the extent to which Gal‐3 levels estimate odds of myocardial dysfunction in ageing cohorts, ‘upstream’ prior to clinical disease. METHODS AND RESULTS: Four hundred seventy‐five asymptomatic subjects underwent simultaneous assessments of cardiovascular structure and function, with measurements of circulating Gal‐3. Myocardial dysfunction was defined as impaired myocardial relaxation (ratio of peak velocity flow in early diastole E (m/s) to peak velocity flow in late diastole by atrial contraction A (m/s) <0.84) (mean E/A ratio 0.84 in the cohort). Of 475 subjects (mean age 68 ± 12 years, 231 women), 222 (47%) had myocardial dysfunction. Subjects with myocardial dysfunction were older (mean age 73 ± 5 vs. 64 ± 14 years, P < 0.0001), and more had hypertension (59 vs. 40%, P < 0.0001), dyslipidaemia (54 vs. 39%, P = 0.001), diabetes mellitus (25 vs. 14%, P = 0.002), higher body mass index (BMI) (24 vs. 23 kg/m(2), P = 0.002), and higher heart rate (76 vs. 71 b.p.m., P = 0.0001). Participants with impaired myocardial relaxation had lower peak velocity flow in early diastole E (0.6 ± 0.1 vs. 0.8 ± 0.2 m/s, P < 0.0001), higher peak velocity flow in late diastole by atrial contraction A (0.9 ± 0.1 vs. 0.7 ± 0.2 m/s, P < 0.0001), and higher mitral valve flow deceleration time (224.7 ± 43.2 vs. 204.8 ± 33.1 m/s, P < 0.0001). Participants with impaired myocardial relaxation had higher Gal‐3 levels (17.2 ± 6.2 vs. 15.5 ± 4.1, P = 0.0004) but similar B‐type natriuretic peptide (37 ± 4 vs. 34 ± 29, P = 0.37) and high‐sensitivity troponin I (21 ± 72 vs. 11 ± 41, P = 0.061) levels and urine microalbumin‐to‐creatinine ratio (4.6 ± 8.1 vs. 4.2 ± 10.8, P = 0.75) compared with those without impaired myocardial relaxation. After multivariable adjustments, Gal‐3 [odds ratio (OR) 1.05, 95% confidence interval (CI) 1.00–1.10, P = 0.039], age (OR 2.60, 95% CI 1.64–4.11, P < 0.0001), BMI (OR 2.16, 95% CI 1.44–3.23, P < 0.0001), and heart rate (OR 1.04, 95% CI 1.02–1.06, P < 0.0001) were associated with impaired myocardial relaxation. Adjusted ORs (95% CI) for myocardial dysfunction were 1.0 (ref), 1.62 (0.92–2.85), 1.92 (1.08–3.41), and 2.01 (1.11–3.66) across consecutive quartiles of Gal‐3 after adjustment for age, BMI, risk factors, and heart rate. CONCLUSIONS: Among asymptomatic community‐dwelling elderly adults, the highest quartile of Gal‐3 was associated with two‐fold increased odds of myocardial dysfunction compared with the lowest quartile of Gal‐3. Gal‐3 may have a role as an ‘upstream’ biomarker in estimating odds of myocardial ageing prior to clinical disease. John Wiley and Sons Inc. 2019-08-08 /pmc/articles/PMC6816233/ /pubmed/31392851 http://dx.doi.org/10.1002/ehf2.12495 Text en © 2019 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research Articles
Keng, Bryan M.H.
Gao, Fei
Ewe, See Hooi
Tan, Ru San
Teo, Louis L.Y.
Xie, Bei Qi
Koh, Woon‐Puay
Koh, Angela S.
Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
title Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
title_full Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
title_fullStr Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
title_full_unstemmed Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
title_short Galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
title_sort galectin‐3 as a candidate upstream biomarker for quantifying risks of myocardial ageing
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816233/
https://www.ncbi.nlm.nih.gov/pubmed/31392851
http://dx.doi.org/10.1002/ehf2.12495
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