Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2024 Jun 25;25(1):206.
doi: 10.1186/s12882-024-03643-6.

Changes in tubular biomarkers with dietary intervention and metformin in patients with autosomal dominant polycystic kidney disease: a post-hoc analysis of two clinical trials

Affiliations
Randomized Controlled Trial

Changes in tubular biomarkers with dietary intervention and metformin in patients with autosomal dominant polycystic kidney disease: a post-hoc analysis of two clinical trials

Wei Wang et al. BMC Nephrol. .

Abstract

Background: Tubular biomarkers, which reflect tubular dysfunction or injury, are associated with incident chronic kidney disease and kidney function decline. Several tubular biomarkers have also been implicated in the progression of autosomal dominant polycystic kidney disease (ADPKD). We evaluated changes in multiple tubular biomarkers in four groups of patients with ADPKD who participated in one of two clinical trials (metformin therapy and diet-induced weight loss), based on evidence suggesting that such interventions could reduce tubule injury.

Methods: 66 participants (26 M/40 F) with ADPKD and an estimated glomerular filtration rate (eGFR) ≥ 30 ml/min/1.73m2 who participated in either a metformin clinical trial (n = 22 metformin; n = 23 placebo) or dietary weight loss study (n = 10 daily caloric restriction [DCR]; n = 11 intermittent fasting [IMF]) were included in assessments of urinary tubular biomarkers (kidney injury molecule-1 [KIM-1], fatty-acid binding protein [FABP], interleukin-18 [IL-18], monocyte chemoattractant protein-1 [MCP-1], neutrophil gelatinase-associated lipocalin [NGAL], clusterin, and human cartilage glycoprotein-40 [YKL-40]; normalized to urine creatinine), at baseline and 12 months. The association of baseline tubular biomarkers with both baseline and change in height-adjusted total kidney volume (HtTKV; percent change from baseline to 12 months) and estimated glomerular filtration rate (eGFR; absolute change at 12 months vs. baseline), with covariate adjustment, was also assessed using multiple linear regression.

Results: Mean ± s.d. age was 48 ± 8 years, eGFR was 71 ± 16 ml/min/1.73m2, and baseline BMI was 30.5 ± 5.9 kg/m2. None of the tubular biomarkers changed with any intervention as compared to placebo. Additionally, baseline tubular biomarkers were not associated with either baseline or change in eGFR or HtTKV over 12 months, after adjustments for demographics, group assignment, and clinical characteristics.

Conclusions: Tubular biomarkers did not change with dietary-induced weight loss or metformin, nor did they associate with kidney disease progression, in this cohort of patients with ADPKD.

Keywords: ADPKD; Biomarkers; Clinical; Diet; Epidemiology; Metformin.

PubMed Disclaimer

Conflict of interest statement

KL Nowak has been a consultant for Otsuka.

Figures

Fig. 1
Fig. 1
Urinary concentrations of kidney injury molecule-1 (KIM-1; Panel A); fatty-acid binding protein 4 (FABP4; Panel B); interleukin-18 (IL-18; Panel C); monocyte chemoattractant protein-1 (MCP-1; Panel D); neutrophil gelatinase-associated lipocalin (NGAL; Panel E); clusterin (Panel F); human cartilage glycoprotein-40 (YKL-40; Panel G), normalized to urine creatinine and log-transformed, at baseline (month 0, gold) and 12 months (dark gray). Groups are control, metformin, daily caloric restriction (DCR), and intermittent fasting (IMF). Horizontal lines represent median and individual data points are shown as circles

References

    1. Chebib FT, Torres VE. Autosomal Dominant polycystic kidney disease: core curriculum 2016. Am J Kidney Dis. 2016;67(5):792–810. doi: 10.1053/j.ajkd.2015.07.037. - DOI - PMC - PubMed
    1. Harris PC, Rossetti S. Determinants of renal disease variability in ADPKD. Adv Chronic Kidney Dis. 2010;17(2):131–9. doi: 10.1053/j.ackd.2009.12.004. - DOI - PMC - PubMed
    1. Meijer E, Boertien WE, Nauta FL, Bakker SJ, van Oeveren W, Rook M, et al. Association of urinary biomarkers with disease severity in patients with autosomal dominant polycystic kidney disease: a cross-sectional analysis. Am J Kidney Dis. 2010;56(5):883–95. doi: 10.1053/j.ajkd.2010.06.023. - DOI - PubMed
    1. Petzold K, Poster D, Krauer F, Spanaus K, Andreisek G, Nguyen-Kim TD, et al. Urinary biomarkers at early ADPKD disease stage. PLoS ONE. 2015;10(4):e0123555. doi: 10.1371/journal.pone.0123555. - DOI - PMC - PubMed
    1. Ostroff C, Perrone RD, Czerwiec FS. Current challenges and perspectives on developing a clinical Trial Design for ADPKD. Clin J Am Soc Nephrol. 2022;17(10):1559–62. doi: 10.2215/CJN.05360522. - DOI - PMC - PubMed

Publication types

MeSH terms