Abstract

β-glucuronidases (GUS) of intestinal bacteria remove glucuronic acid from glucoronides, reversing phase II metabolism of the liver and affecting the level of active deconjugated metabolites deriving from drugs or xenobiotics. Two hundred seventy-nine non-redundant GUS sequences are known in the gut microbiota, classified in seven structural categories (NL, L1, L2, mL1, mL2, mL1,2, and NC) with different biocatalytic properties. In the present study, the intestinal metagenome of 60 healthy subjects from five geographically different cohorts was assembled, binned, and mined to determine qualitative and quantitative differences in GUS profile, potentially affecting response to drugs and xenobiotics. Each metagenome harbored 4–70 different GUS, altogether accounting for 218. The amount of intestinal bacteria with at least one GUS gene was highly variable, from 0.7 to 82.2%, 25.7% on average. No significant difference among cohorts could be identified, except for the Ethiopia (ETH) cohort where GUS-encoding bacteria were significantly less abundant. The structural categories were differently distributed among the metagenomes, but without any statistical significance related to the cohorts. GUS profiles were generally dominated by the category NL, followed by mL1, L2, and L1. The GUS categories most involved in the hydrolysis of small molecules, including drugs, are L1 and mL1. Bacteria contributing to these categories belonged to Bacteroides ovatus, Bacteroides dorei, Bacteroides fragilis, Escherichia coli, Eubacterium eligens, Faecalibacterium prausnitzii, Parabacteroides merdae, and Ruminococcus gnavus. Bacteria harboring L1 GUS were generally scarcely abundant (<1.3%), except in three metagenomes, where they reached up to 24.3% for the contribution of E. coli and F. prausnitzii. Bacteria harboring mL1 GUS were significantly more abundant (mean = 4.6%), with Bacteroides representing a major contributor. Albeit mL1 enzymes are less active than L1 ones, Bacteroides likely plays a pivotal role in the deglucuronidation, due to its remarkable abundance in the microbiomes. The observed broad interindividual heterogeneity of GUS profiles, particularly of the L1 and mL1 categories, likely represent a major driver of pharmacomicrobiomics variability, affecting drug response and toxicity. Different geographical origins, genetic, nutritional, and lifestyle features of the hosts seemed not to be relevant in the definition of glucuronidase activity, albeit they influenced the richness of the GUS profile.

Highlights

  • IntroductionHumans and their colon microbiota evolved together, establishing a close symbiotic interrelationship, fruitful for both

  • Pharmacomicrobiomics is an emerging field focusing on the interplay of microbiome and drug metabolism and response (Doestzada et al, 2018; Hassan et al, 2021)

  • Pharmacomicrobiomics investigates the interplay of microbiome diversity and drug disposition and response and may provide an important basis in personalized medicine (Doestzada et al, 2018; Hassan et al, 2021)

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Summary

Introduction

Humans and their colon microbiota evolved together, establishing a close symbiotic interrelationship, fruitful for both. The gut microbiota is implicated in a number of biological processes such as resistance to colonization (Ruan et al, 2020), immune system modulation (Saldana-Morales et al, 2021), synthesis of essential vitamins and nutrients (Oliphant and Allen-Vercoe, 2019), and breakdown of undigested polysaccharides and proteins (El Kaoutari et al, 2013; Huang et al, 2017; Raimondi et al, 2021) It encodes a broad diversity of enzymes capable of processing foreign compounds (e.g., phytochemicals, environmental pollutants, pharmaceuticals, and other xenobiotics) and their endogenous metabolites, adding significant chemical diversity and modifying lifetimes, bioavailability, and biological activity (Rossi et al, 2013; Koppel et al, 2017). Bacterial GUS affect the pharmacokinetics of compounds such as polyphenols, xenobiotics, and drugs and participate in the regulation of the levels of circulating metabolites, altering the pharmacological properties and the biological activities of xenobiotics and potentially impacting on their beneficial and/or toxic effects on health (Biernat et al, 2018; Wang et al, 2019; Awolade et al, 2020)

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