High-sensitivity Troponin I Predicts Galectin-3 in Chronic Kidney Disease Patients

Gek Cher Chan1, Peh Joo Ho2, Jialiang Li3

  • 1Division of Nephrology, Department of Medicine, National University Hospital, Singapore, Singapore. gek_cher_chan@nuhs.edu.sg.

Insights

Plasma galectin-3 (pG3) is elevated in chronic kidney disease (CKD). High-sensitivity Troponin I (hsTnI) is a better predictor of pG3 than B-type natriuretic peptide (BNP) in Asian CKD patients.

Area of Science:

  • Biomarkers and inflammation research
  • Cardiovascular and renal disease research

Background:

  • Plasma galectin-3 (pG3) plays a role in inflammation.
  • Elevated levels of B-type natriuretic peptide (BNP), high-sensitivity Troponin I (hsTnI), and pG3 are observed in patients with chronic kidney disease (CKD).
  • The relationship between pG3 and hsTnI/BNP in CKD requires further investigation.

Purpose of the Study:

  • To investigate the associations between hsTnI, BNP, and pG3 in Asian patients with CKD.
  • To compare the predictive value of hsTnI and BNP for pG3 levels in this population.

Main Methods:

  • Analysis of prospectively collected plasma samples from 163 stable CKD patients and 105 healthy controls.
  • Assay of plasma galectin-3 (pG3), B-type natriuretic peptide (BNP), and high-sensitivity Troponin I (hsTnI).
  • Multiple linear regression models were utilized to identify predictors of pG3, with model comparison using Akaike Information Criterion (AIC).

Main Results:

  • CKD patients exhibited higher median BMI, serum creatinine, pG3, BNP, and hsTnI compared to healthy controls.
  • Univariate analysis indicated associations between pG3 and multiple clinical and biochemical variables, excluding weight, gender, and specific vascular disease diagnoses.
  • A parsimonious model identified hsTnI, BMI, serum albumin, cystatin C, and estimated glomerular filtration rate (eGFR) as significant predictors of pG3.

Conclusions:

  • Both BNP and hsTnI are associated with pG3 in Asian CKD patients.
  • hsTnI demonstrates a stronger predictive capability for pG3 levels compared to BNP in this cohort.
Abstract

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