Baseline gut microbiome as a predictive biomarker of response to probiotic adjuvant treatment in gout management

Gout is characterized by dysregulation of uric acid (UA) metabolism, and the gut microbiota may serve as a regulatory target. This two-month randomized, double-blind, placebo-controlled trial aimed to investigate the additional benefits of coadministering Probio-X alongside febuxostat. A total of 160 patients with gout were randomly assigned to either the probiotic group (n = 120; Probio-X [3 × 10<sup>10</sup> CFU/day] with febuxostat) or the placebo group (n = 40; placebo material with febuxostat). Coadministration of Probio-X significantly decreased serum UA levels and the rate of acute gout attacks (P < 0.05). Based on achieving a target sUA level (360 μmol/L) after the intervention, the probiotic group was further subdivided into probiotic-responsive (ProA; n = 54) and probiotic-unresponsive (ProB; n = 66) subgroups. Post-intervention clinical indicators, metagenomic, and metabolomic changes in the ProB and placebo groups were similar, but differed from those in the ProA group, which exhibited significantly lower levels of acute gout attack, gout impact score, serum indicators (UA, XOD, hypoxanthine, and IL-1β), and fecal gene abundances of UA-producing pathways (KEGG orthologs of K13479 and K01487; gut metabolic modules for formate conversion and lactose and galactose degradation). Additionally, the ProA group showed significantly higher levels (P < 0.05) of gut SCFAs-producing bacteria and UA-related metabolites (xanthine, hypoxanthine, bile acids) after the intervention. Finally, we established a gout metagenomic classifier to predict probiotic responsiveness based on subjects' baseline gut microbiota composition. Our results indicate that probiotic-driven therapeutic responses are highly individual, with the probiotic-responsive cohort benefitting significantly from probiotic coadministration.

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Publication Details

Journal
Pharmacological Research
Published
2024-10-11
DOI
https://doi.org/10.1016/j.phrs.2024.107445
Citations
19
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
Field-Weighted Citation Impact
6.44

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article

Baseline gut microbiome as a predictive biomarker of response to probiotic adjuvant treatment in gout management

Teng Ma, Lai‐Yu Kwok, Feiyan Zhao, Ning Tie et al.
19 citations
Pharmacological Research
Gout, Hyperuricemia, Uric Acid
6.44
article

Baseline gut microbiome as a predictive biomarker of response to probiotic adjuvant treatment in gout management

Teng Ma, Lai‐Yu Kwok, Feiyan Zhao, Ning Tie, Lixia Pang, Jing Wang, Dafu Man, Xin Shen, Huiyun Li, Heping Zhang, Hui Shi, Zhongjie Yu, Xiangzheng Yuan, Shuiming Ren
article en
19 citations

Abstract

Gout is characterized by dysregulation of uric acid (UA) metabolism, and the gut microbiota may serve as a regulatory target. This two-month randomized, double-blind, placebo-controlled trial aimed to investigate the additional benefits of coadministering Probio-X alongside febuxostat. A total of 160 patients with gout were randomly assigned to either the probiotic group (n = 120; Probio-X [3 × 10<sup>10</sup> CFU/day] with febuxostat) or the placebo group (n = 40; placebo material with febuxostat). Coadministration of Probio-X significantly decreased serum UA levels and the rate of acute gout attacks (P < 0.05). Based on achieving a target sUA level (360 μmol/L) after the intervention, the probiotic group was further subdivided into probiotic-responsive (ProA; n = 54) and probiotic-unresponsive (ProB; n = 66) subgroups. Post-intervention clinical indicators, metagenomic, and metabolomic changes in the ProB and placebo groups were similar, but differed from those in the ProA group, which exhibited significantly lower levels of acute gout attack, gout impact score, serum indicators (UA, XOD, hypoxanthine, and IL-1β), and fecal gene abundances of UA-producing pathways (KEGG orthologs of K13479 and K01487; gut metabolic modules for formate conversion and lactose and galactose degradation). Additionally, the ProA group showed significantly higher levels (P < 0.05) of gut SCFAs-producing bacteria and UA-related metabolites (xanthine, hypoxanthine, bile acids) after the intervention. Finally, we established a gout metagenomic classifier to predict probiotic responsiveness based on subjects' baseline gut microbiota composition. Our results indicate that probiotic-driven therapeutic responses are highly individual, with the probiotic-responsive cohort benefitting significantly from probiotic coadministration.

Pharmacological ResearchVol. 209
Inner Mongolia Agricultural University (CN), Baogang Group (China) (CN), Inner Mongolia People's Hospital (CN), Hulunbuir University (CN), Inner Mongolia Medical University (CN)
National Natural Science Foundation of China, Science and Technology Major Project of Inner Mongolia, Earmarked Fund for China Agriculture Research System, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 2%
Gout, Hyperuricemia, Uric Acid
6.44
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