Please use this identifier to cite or link to this item: https://doi.org/10.1038/srep20602
Title: Intestinal Microbiota Distinguish Gout Patients from Healthy Humans
Authors: Guo Z.
Zhang J.
Wang Z.
Ang K.Y.
Huang S.
Hou Q.
Su X.
Qiao J.
Zheng Y.
Wang L.
Koh E. 
Danliang H. 
Xu J.
Lee Y.K. 
Zhang H.
Keywords: biological marker
butyric acid derivative
RNA 16S
uric acid
adult
aged
area under the curve
bacterium
Bacteroides
Bifidobacterium pseudocatenulatum
blood
case control study
chemistry
cohort analysis
DNA sequence
Faecalibacterium prausnitzii
feces
female
genetics
gout
human
intestine flora
intestine mucosa
isolation and purification
male
metabolism
microbiology
middle aged
polymerase chain reaction
principal component analysis
receiver operating characteristic
Adult
Aged
Area Under Curve
Bacteria
Bacteroides
Bifidobacterium pseudocatenulatum
Biomarkers
Butyrates
Case-Control Studies
Cohort Studies
Faecalibacterium prausnitzii
Feces
Female
Gastrointestinal Microbiome
Gout
Humans
Intestinal Mucosa
Male
Middle Aged
Polymerase Chain Reaction
Principal Component Analysis
RNA, Ribosomal, 16S
ROC Curve
Sequence Analysis, DNA
Uric Acid
Issue Date: 2016
Publisher: Nature Publishing Group
Citation: Guo Z., Zhang J., Wang Z., Ang K.Y., Huang S., Hou Q., Su X., Qiao J., Zheng Y., Wang L., Koh E., Danliang H., Xu J., Lee Y.K., Zhang H. (2016). Intestinal Microbiota Distinguish Gout Patients from Healthy Humans. Scientific Reports 6 : 20602. ScholarBank@NUS Repository. https://doi.org/10.1038/srep20602
Abstract: Current blood-based approach for gout diagnosis can be of low sensitivity and hysteretic. Here via a 68-member cohort of 33 healthy and 35 diseased individuals, we reported that the intestinal microbiota of gout patients are highly distinct from healthy individuals in both organismal and functional structures. In gout, Bacteroides caccae and Bacteroides xylanisolvens are enriched yet Faecalibacterium prausnitzii and Bifidobacterium pseudocatenulatum depleted. The established reference microbial gene catalogue for gout revealed disorder in purine degradation and butyric acid biosynthesis in gout patients. In an additional 15-member validation-group, a diagnosis model via 17 gout-associated bacteria reached 88.9% accuracy, higher than the blood-uric-acid based approach. Intestinal microbiota of gout are more similar to those of type-2 diabetes than to liver cirrhosis, whereas depletion of Faecalibacterium prausnitzii and reduced butyrate biosynthesis are shared in each of the metabolic syndromes. Thus the Microbial Index of Gout was proposed as a novel, sensitive and non-invasive strategy for diagnosing gout via fecal microbiota.
Source Title: Scientific Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/175430
ISSN: 20452322
DOI: 10.1038/srep20602
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