Leucine-Rich Alpha-2-Glycoprotein: A Novel Predictor of Diastolic Dysfunction

Leucine-rich α2-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 sy...

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Main Authors: Alexander Loch, Kok Leng Tan, Mahmoud Danaee, Iskandar Idris, Mei Li Ng
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Biomedicines
Subjects:
Online Access:https://www.mdpi.com/2227-9059/11/3/944
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author Alexander Loch
Kok Leng Tan
Mahmoud Danaee
Iskandar Idris
Mei Li Ng
author_facet Alexander Loch
Kok Leng Tan
Mahmoud Danaee
Iskandar Idris
Mei Li Ng
author_sort Alexander Loch
collection DOAJ
description Leucine-rich α2-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, <i>p</i> < 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.
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spelling doaj.art-39677d70f5714d6887170910b7c314932023-11-17T09:47:54ZengMDPI AGBiomedicines2227-90592023-03-0111394410.3390/biomedicines11030944Leucine-Rich Alpha-2-Glycoprotein: A Novel Predictor of Diastolic DysfunctionAlexander Loch0Kok Leng Tan1Mahmoud Danaee2Iskandar Idris3Mei Li Ng4Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, MalaysiaAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas 13200, MalaysiaDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, MalaysiaDivision of Medical Sciences and Graduate Entry Medicine, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UKDepartment of Medicine, National University of Singapore, Singapore 119228, SingaporeLeucine-rich α2-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, <i>p</i> < 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.https://www.mdpi.com/2227-9059/11/3/944leucine-rich alpha-2-glycoprotein 1 (LRG1)diastolic dysfunctionbiomarkerheart failure with preserved ejection fraction (HFpEF)cross-sectional study
spellingShingle Alexander Loch
Kok Leng Tan
Mahmoud Danaee
Iskandar Idris
Mei Li Ng
Leucine-Rich Alpha-2-Glycoprotein: A Novel Predictor of Diastolic Dysfunction
Biomedicines
leucine-rich alpha-2-glycoprotein 1 (LRG1)
diastolic dysfunction
biomarker
heart failure with preserved ejection fraction (HFpEF)
cross-sectional study
title 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_short Leucine-Rich Alpha-2-Glycoprotein: A Novel Predictor of Diastolic Dysfunction
title_sort leucine rich alpha 2 glycoprotein a novel predictor of diastolic dysfunction
topic leucine-rich alpha-2-glycoprotein 1 (LRG1)
diastolic dysfunction
biomarker
heart failure with preserved ejection fraction (HFpEF)
cross-sectional study
url https://www.mdpi.com/2227-9059/11/3/944
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