Characteristic alterations of gut microbiota in uncontrolled gout

被引:0
|
作者
Asad ul-Haq
Kyung-Ann Lee
Hoonhee Seo
Sukyung Kim
Sujin Jo
Kyung Min Ko
Su-Jin Moon
Yun Sung Kim
Jung Ran Choi
Ho-Yeon Song
Hyun-Sook Kim
机构
[1] Soonchunhyang University Seoul Hospital,Division of Rheumatology, Department of Internal Medicine
[2] Soonchunhyang University,Probiotics Microbiome Convergence Center
[3] Soonchunhyang University,Department of Microbiology and Immunology, School of Medicine
[4] Catholic Kwandong University College of Medicine,Division of Rheumatology, Department of Internal Medicine, International St. Mary’s Hospital
[5] The Catholic University of Korea,Division of Rheumatology, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine
[6] Chosun University College of Medicine,Division of Rheumatology, Department of Internal Medicine
[7] Pohang St. Mary’s Hospital,Divison of Rheumatology, Department of Internal Medicine
来源
Journal of Microbiology | 2022年 / 60卷
关键词
gout; gut microbiomes; uncontrolled gout; hyperuricemia; microbiota;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
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页码:1178 / 1190
页数:12
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