Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction

Leucine-rich alpha 2-glycoprotein (LRG1) mediates cardiac fibrocyte activation. It is upregulated in inflammatory conditions, atherosclerosis, and fibrosis. Diastolic dysfunction (DD) is due to myocardial fibrosis. This cross-sectional study examined the relationship between LRG1 and DD. Patients wi...

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Main Authors: Loch, Alexander, Tan, Kok Leng, Danaee, Mahmoud, Idris, Iskandar, Ng, Mei Li
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Published: MDPI 2023
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Online Access:http://eprints.um.edu.my/38527/
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spelling my.um.eprints.385272024-11-10T05:28:24Z http://eprints.um.edu.my/38527/ Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction Loch, Alexander Tan, Kok Leng Danaee, Mahmoud Idris, Iskandar Ng, Mei Li R Medicine (General) Leucine-rich alpha 2-glycoprotein (LRG1) mediates cardiac fibrocyte activation. It is upregulated in inflammatory conditions, atherosclerosis, and fibrosis. Diastolic dysfunction (DD) is due to myocardial fibrosis. This cross-sectional study examined the relationship between LRG1 and DD. Patients with symptoms of chronic coronary ischemia were recruited. Patients with symptoms of overt heart failure, ejection fraction (EF) < 55%, impaired renal function, infection, and recent trauma were excluded from the study. Clinical parameters examined were SYNergy between percutaneous coronary intervention with TAXus and cardiac surgery (SYNTAX) score, echocardiographic assessment, and LRG1 levels. Binary stepwise logistic regression was used to evaluate the association between LRG1 and DD. Receiver Operating Characteristic (ROC) analysis was used to determine optimal cut-off values and predictive performance of LRG1. A total of 94 patients were enrolled in the study, with 47 having a clinical diagnosis of DD. Plasma LRG1 was significantly (U = 417.00, p < 0.001) higher in the DD group (M = 14) compared to the No-DD group (M = 8) by Mann-Whitney U test. There were higher SYNTAX scores in the DD group (M = 24.5) compared with No-DD (M = 7). LRG1 had significant predictability of DD (OR = 1.32 (95% CI: 1.14-1.53)). The ROC showed an AUC = 0.89 (95% CI: 0.82-0.95). LRG1 had a 78% sensitivity (95% CI: 65.3-87.7) and 72.3% specificity (95% CI: 57.4-84.4) for predicting DD at a cut-off value of ``9''. In conclusion, we identified LRG1 as a novel independent predictor of DD. Further studies are warranted to validate the utility of LRG1 in predicting DD. MDPI 2023-03 Article PeerReviewed Loch, Alexander and Tan, Kok Leng and Danaee, Mahmoud and Idris, Iskandar and Ng, Mei Li (2023) Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction. Biomedicines, 11 (3). ISSN 2227-9059, DOI https://doi.org/10.3390/biomedicines11030944 <https://doi.org/10.3390/biomedicines11030944>. 10.3390/biomedicines11030944
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine (General)
spellingShingle R Medicine (General)
Loch, Alexander
Tan, Kok Leng
Danaee, Mahmoud
Idris, Iskandar
Ng, Mei Li
Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction
description Leucine-rich alpha 2-glycoprotein (LRG1) mediates cardiac fibrocyte activation. It is upregulated in inflammatory conditions, atherosclerosis, and fibrosis. Diastolic dysfunction (DD) is due to myocardial fibrosis. This cross-sectional study examined the relationship between LRG1 and DD. Patients with symptoms of chronic coronary ischemia were recruited. Patients with symptoms of overt heart failure, ejection fraction (EF) < 55%, impaired renal function, infection, and recent trauma were excluded from the study. Clinical parameters examined were SYNergy between percutaneous coronary intervention with TAXus and cardiac surgery (SYNTAX) score, echocardiographic assessment, and LRG1 levels. Binary stepwise logistic regression was used to evaluate the association between LRG1 and DD. Receiver Operating Characteristic (ROC) analysis was used to determine optimal cut-off values and predictive performance of LRG1. A total of 94 patients were enrolled in the study, with 47 having a clinical diagnosis of DD. Plasma LRG1 was significantly (U = 417.00, p < 0.001) higher in the DD group (M = 14) compared to the No-DD group (M = 8) by Mann-Whitney U test. There were higher SYNTAX scores in the DD group (M = 24.5) compared with No-DD (M = 7). LRG1 had significant predictability of DD (OR = 1.32 (95% CI: 1.14-1.53)). The ROC showed an AUC = 0.89 (95% CI: 0.82-0.95). LRG1 had a 78% sensitivity (95% CI: 65.3-87.7) and 72.3% specificity (95% CI: 57.4-84.4) for predicting DD at a cut-off value of ``9''. In conclusion, we identified LRG1 as a novel independent predictor of DD. Further studies are warranted to validate the utility of LRG1 in predicting DD.
format Article
author Loch, Alexander
Tan, Kok Leng
Danaee, Mahmoud
Idris, Iskandar
Ng, Mei Li
author_facet Loch, Alexander
Tan, Kok Leng
Danaee, Mahmoud
Idris, Iskandar
Ng, Mei Li
author_sort Loch, Alexander
title Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction
title_short Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction
title_full Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction
title_fullStr Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction
title_full_unstemmed Leucine-rich alpha-2-glycoprotein: A novel predictor of diastolic dysfunction
title_sort leucine-rich alpha-2-glycoprotein: a novel predictor of diastolic dysfunction
publisher MDPI
publishDate 2023
url http://eprints.um.edu.my/38527/
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score 13.214268