Food-Derived Uremic Toxins in Chronic Kidney Disease

Toxins (Basel). 2023 Feb 1;15(2):116. doi: 10.3390/toxins15020116.

Abstract

Patients with chronic kidney disease (CKD) have a higher cardiovascular risk compared to the average population, and this is partially due to the plasma accumulation of solutes known as uremic toxins. The binding of some solutes to plasma proteins complicates their removal via conventional therapies, e.g., hemodialysis. Protein-bound uremic toxins originate either from endogenous production, diet, microbial metabolism, or the environment. Although the impact of diet on uremic toxicity in CKD is difficult to quantify, nutrient intake plays an important role. Indeed, most uremic toxins are gut-derived compounds. They include Maillard reaction products, hippurates, indoles, phenols, and polyamines, among others. In this review, we summarize the findings concerning foods and dietary components as sources of uremic toxins or their precursors. We then discuss their endogenous metabolism via human enzyme reactions or gut microbial fermentation. Lastly, we present potential dietary strategies found to be efficacious or promising in lowering uremic toxins plasma levels. Aligned with current nutritional guidelines for CKD, a low-protein diet with increased fiber consumption and limited processed foods seems to be an effective treatment against uremic toxins accumulation.

Keywords: chronic kidney disease; diet; food; metabolism; nutrition; uremic toxins.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Diet, Protein-Restricted
  • Food
  • Humans
  • Renal Insufficiency, Chronic* / metabolism
  • Toxins, Biological* / toxicity
  • Uremia* / metabolism
  • Uremic Toxins

Substances

  • Uremic Toxins
  • Toxins, Biological

Grants and funding

This project received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement N° 860329. B. Meijers is a senior clinical investigator of the Fonds Wetenschappelijk Onderzoek (grant 1800820N) and received support from KU Leuven via grants 3M190551 and C14/21/103.