| Title | Characteristic alterations of gut microbiota in uncontrolled gout |
|---|---|
| Author | Asad ul-Haq1,2, Kyung-Ann Lee1, Hoonhee Seo2,3, Sukyung Kim3, Sujin Jo2, Kyung Min Ko4, Su-Jin Moon5, Yun Sung Kim6, Jung Ran Choi7, Ho-Yeon Song2,3, and Hyun-Sook Kim1* |
| Address | 1Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul 04401, Republic of Korea, 2Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan 31538, Republic of Korea, 3Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan 33151, Republic of Korea, 4Division of Rheumatology, Department of Internal Medicine, International St. Mary’s Hospital, Catholic Kwandong University College of Medicine, Incheon 22711, Republic of Korea, 5Division of Rheumatology, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 07345, Republic of Korea, 6Division of Rheumatology, Department of Internal Medicine, Chosun University College of Medicine, Gwangju 61452, Republic of Korea, 7Divison of Rheumatology, Department of Internal Medicine, Pohang St. Mary’s Hospital, Pohang 37661, Republic of Korea |
| Bibliography | Journal of Microbiology, 60(12),1178-1190, 2022, |
| DOI | 10.1007/s12275-022-2416-1 |
| Key Words | gout, gut microbiomes, uncontrolled gout, hyperuricemia, microbiota, Bifidobacterium, Prevotella, Bifidobacterium aldolescentis, Prevotella copri |
| Abstract | Microbiome research has been on the rise recently for a more in-depth understanding of gout. Meanwhile, there is a need to understand the gut microbiome related to uric acid-lowering drug resistance. In this study, 16S rRNA gene-based microbiota analysis was performed for a total of 65 stool samples from 17 healthy controls and 48 febuxostat-treated gout patients (including 28 controlled subjects with decreased uric acid levels and 20 uncontrolled subjects with non-reduced uric acid levels). Alpha diversity of bacterial community decreased in the healthy control, controlled, and uncontrolled groups. In the case of beta diversity, the bacterial community was significantly different among groups (healthy control, controlled, and uncontrolled groups). Taxonomic biomarker analysis revealed the increased population of g-Bifidobacterium in healthy controls and g-Prevotella in uncontrolled patients. PCR further confirmed this result at the species level. Additionally, functional metagenomics predictions led to the exploration of various functional biomarkers, including purine metabolism. The results of this study can serve as a basis for developing potential new strategies for diagnosing and treating gout from microbiome prospects. |