Estimation of residual renal function using beta‐trace protein: Impact of dialysis procedures

• Published in: Artificial organs Vol. 44; no. 6; pp. 647 - 654
• Main Authors: Bargnoux, Anne‐Sophie, Buthiau, Delphine, Morena, Marion, Rodriguez, Annie, Noguera‐Gonzalez, Maria‐Eugenia, Gilbert, Olivia, Le Quintrec, Moglie, Kuster, Nils, Cristol, Jean‐Paul
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.06.2020; Wiley
• Subjects: Adult; Aged; Aged, 80 and over; beta‐2 microglobulin; beta‐trace protein; Biomarkers; Biomarkers - analysis; Biomarkers - metabolism; conventional hemodialysis; Creatinine; Cross-Sectional Studies; Cystatin C; Dialysis; Dialysis Solutions - analysis; Dilution; Female; Glomerular Filtration Rate - physiology; hemodiafiltration; Hemodialysis; Human health and pathology; Humans; Intramolecular Oxidoreductases - analysis; Intramolecular Oxidoreductases - metabolism; Kidney - metabolism; Kidney diseases; Kidneys; Life Sciences; Lipocalins - analysis; Lipocalins - metabolism; Low molecular weights; Maintenance; Male; Mathematical analysis; Middle Aged; Molecular weight; Peritoneal dialysis; Peritoneum; Peritoneum - metabolism; Proteins; Reduction; Renal Dialysis - adverse effects; Renal Dialysis - instrumentation; Renal Dialysis - methods; Renal Elimination - physiology; Renal function; Renal Insufficiency, Chronic - blood; Renal Insufficiency, Chronic - diagnosis; Renal Insufficiency, Chronic - therapy; Renal Insufficiency, Chronic - urine; residual renal function; Urea; Urology and Nephrology; cystatin C; beta-trace protein; residual renal function; conventional hemodialysis; beta-2 microglobulin; peritoneal dialysis; hemodiafiltration; Cystatin C; Beta-Trace Protein
• ISSN: 0160-564X; 1525-1594
• DOI: 10.1111/aor.13641

Beta‐trace protein (BTP), a low molecular weight protein of 23‐29 kDa, has been proposed as a promising biomarker to estimate residual renal function (RRF) in patients on maintenance hemodialysis (HD). Indeed, BTP is cleared by native kidney but not during conventional HD session. By contrast, the removal rate of BTP using convective processes (mainly hemodiafiltration [HDF]) and peritoneal dialysis (PD) has been little or not investigated. Therefore, an aim of this study was to evaluate the impact of dialysis procedures (high‐flux HD, on‐line post‐dilution HDF and PD) on BTP removal in comparison with beta‐2 microglobulin (B2M) and cystatin C (CYSC) removals after a single session. In addition, the ability of BTP to predict RRF in PD was assessed. This observational cross‐sectional study included a total of 82 stable chronic kidney disease patients, 53 patients were on maintenance dialysis (with n = 26 in HD and n = 27 in HDF) and 29 were on PD. Serum concentrations of BTP, B2M, and CYSC were measured (a) before and after a single dialysis session in HD and HDF anuric patients to calculate reduction percentages, (b) in serum, 24‐hour‐dialysate and 24‐hour‐urine in PD patients to compute total, peritoneal, and urinary clearance. RRF was estimated using four equations developed for dialysis patients without urine collection and compared to the mean of the urea and creatinine clearances in PD. The concentrations of the three studied molecules were significantly reduced (P < .001) after dialysis session with significantly higher reduction ratio using HDF compared to HD modality (P < .001): BTP 49.3% vs 17.5%; B2M 82.3% vs 69.7%; CYSC 77.4% vs 66% in HDF and HD, respectively. In non‐anuric PD patients, B2M and CYSC were partly removed by peritoneal clearance (72.3% and 57.6% for B2M and CYSC, respectively). By contrast, BTP removal by the peritoneum was negligible and a low bias for the BTP‐based equation to estimate RRF (−1.4 mL/min/1.73 m2) was calculated. BTP is significantly removed by high‐flux HD or HDF, thereby compromising its use to estimate RRF. By contrast, BTP appears as a promising biomarker to estimate RRF in PD patients since it is not affected by peritoneal clearance, unlike B2M and CYSC, and it is well correlated to RRF.