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Leucine-Rich Alpha-2-Glycoprotein: A Novel Predictor of Diastolic Dysfunction.
Loch, Alexander; Tan, Kok Leng; Danaee, Mahmoud; Idris, Iskandar; Ng, Mei Li.
Affiliation
  • Loch A; Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Tan KL; Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas 13200, Malaysia.
  • Danaee M; Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Idris I; Division of Medical Sciences and Graduate Entry Medicine, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.
  • Ng ML; Department of Medicine, National University of Singapore, Singapore 119228, Singapore.
Biomedicines ; 11(3)2023 Mar 20.
Article in En | MEDLINE | ID: mdl-36979923
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, 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Biomedicines Year: 2023 Document type: Article Affiliation country: Malaysia Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Biomedicines Year: 2023 Document type: Article Affiliation country: Malaysia Country of publication: Switzerland