Gek Cher Chan1, Peh Joo Ho2, Jialiang Li3, Evan Jon Choon Lee4,5, Horng Ruey Chua4, Titus Lau4, Sunil Sethi5, Boon Wee Teo4,5. 1. Division of Nephrology, Department of Medicine, National University Hospital, Singapore, Singapore. gek_cher_chan@nuhs.edu.sg. 2. Human Genetics, Genome Institute of Singapore, Singapore, Singapore. 3. Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore. 4. Division of Nephrology, Department of Medicine, National University Hospital, Singapore, Singapore. 5. Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Abstract
PURPOSE: Plasma galectin-3 (pG3) regulates inflammation. B-type natriuretic peptide (BNP), high-sensitivity Troponin I (hsTnI), and pG3 concentrations are elevated in chronic kidney disease (CKD) patients. The associations of pG3 with hsTnI/BNP are unclear. We explored the relationship of hsTnI and BNP with pG3 in Asian CKD patients and healthy controls. METHODS: We retrieved prospectively collected frozen plasma samples from 163 stable CKD patients and 105 healthy controls. BNP, hsTnI and pG3 were assayed. pG3 was assessed for associations with age, gender, ethnicity, blood pressures; height, weight, body mass index (BMI), previously diagnosed CKD, diabetes, hypertension, coronary artery disease, estimated glomerular filtration rate (eGFR); C-reactive protein, beta-trace protein, 24 h urine protein, serum albumin, uric acid and cystatin C. We created two models predicting pG3 using multiple linear regression. Akaike Information Criterion (AIC) was used for comparison. Significance was taken at P < 0.05. RESULTS: CKD versus healthy participants: mean BMI (28.2 vs. 24.9 kg/m2), median serum creatinine (159 vs. 69 µmol/L; 1.8 vs. 0.78 mg/dL), median eGFR (49 vs. 104 mL/min/1.73m2), median pG3 (29.4 vs. 15.4 ng/mL), median BNP (136 vs. 23 pg/mL), and median hsTnI (12.5 vs. 2.6 pg/mL). By univariate analysis, all variables are associated with pG3 except weight, gender and diagnosis of cerebrovascular or peripheral vascular diseases. A parsimonious model selected for hsTnI, BMI, serum albumin, cystatin C and eGFR (AIC = 77.6). CONCLUSION: BNP and hsTnI are associated with pG3 in Asian CKD patients. hsTnI is a better predictor of pG3.
PURPOSE: Plasma galectin-3 (pG3) regulates inflammation. B-type natriuretic peptide (BNP), high-sensitivity Troponin I (hsTnI), and pG3 concentrations are elevated in chronic kidney disease (CKD) patients. The associations of pG3 with hsTnI/BNP are unclear. We explored the relationship of hsTnI and BNP with pG3 in Asian CKDpatients and healthy controls. METHODS: We retrieved prospectively collected frozen plasma samples from 163 stable CKDpatients and 105 healthy controls. BNP, hsTnI and pG3 were assayed. pG3 was assessed for associations with age, gender, ethnicity, blood pressures; height, weight, body mass index (BMI), previously diagnosed CKD, diabetes, hypertension, coronary artery disease, estimated glomerular filtration rate (eGFR); C-reactive protein, beta-trace protein, 24 h urine protein, serum albumin, uric acid and cystatin C. We created two models predicting pG3 using multiple linear regression. Akaike Information Criterion (AIC) was used for comparison. Significance was taken at P < 0.05. RESULTS:CKD versus healthy participants: mean BMI (28.2 vs. 24.9 kg/m2), median serum creatinine (159 vs. 69 µmol/L; 1.8 vs. 0.78 mg/dL), median eGFR (49 vs. 104 mL/min/1.73m2), median pG3 (29.4 vs. 15.4 ng/mL), median BNP (136 vs. 23 pg/mL), and median hsTnI (12.5 vs. 2.6 pg/mL). By univariate analysis, all variables are associated with pG3 except weight, gender and diagnosis of cerebrovascular or peripheral vascular diseases. A parsimonious model selected for hsTnI, BMI, serum albumin, cystatin C and eGFR (AIC = 77.6). CONCLUSION:BNP and hsTnI are associated with pG3 in Asian CKDpatients. hsTnI is a better predictor of pG3.
Entities:
Keywords:
Asian ancestry; Brain; Chronic renal failure; Galectin-3; Natriuretic peptide; Troponin I
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