Please use this identifier to cite or link to this item: https://doi.org/10.1038/srep20602
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dc.titleIntestinal Microbiota Distinguish Gout Patients from Healthy Humans
dc.contributor.authorGuo Z.
dc.contributor.authorZhang J.
dc.contributor.authorWang Z.
dc.contributor.authorAng K.Y.
dc.contributor.authorHuang S.
dc.contributor.authorHou Q.
dc.contributor.authorSu X.
dc.contributor.authorQiao J.
dc.contributor.authorZheng Y.
dc.contributor.authorWang L.
dc.contributor.authorKoh E.
dc.contributor.authorDanliang H.
dc.contributor.authorXu J.
dc.contributor.authorLee Y.K.
dc.contributor.authorZhang H.
dc.date.accessioned2020-09-10T01:38:49Z
dc.date.available2020-09-10T01:38:49Z
dc.date.issued2016
dc.identifier.citationGuo 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
dc.identifier.issn20452322
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/175430
dc.description.abstractCurrent 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.
dc.publisherNature Publishing Group
dc.sourceUnpaywall 20200831
dc.subjectbiological marker
dc.subjectbutyric acid derivative
dc.subjectRNA 16S
dc.subjecturic acid
dc.subjectadult
dc.subjectaged
dc.subjectarea under the curve
dc.subjectbacterium
dc.subjectBacteroides
dc.subjectBifidobacterium pseudocatenulatum
dc.subjectblood
dc.subjectcase control study
dc.subjectchemistry
dc.subjectcohort analysis
dc.subjectDNA sequence
dc.subjectFaecalibacterium prausnitzii
dc.subjectfeces
dc.subjectfemale
dc.subjectgenetics
dc.subjectgout
dc.subjecthuman
dc.subjectintestine flora
dc.subjectintestine mucosa
dc.subjectisolation and purification
dc.subjectmale
dc.subjectmetabolism
dc.subjectmicrobiology
dc.subjectmiddle aged
dc.subjectpolymerase chain reaction
dc.subjectprincipal component analysis
dc.subjectreceiver operating characteristic
dc.subjectAdult
dc.subjectAged
dc.subjectArea Under Curve
dc.subjectBacteria
dc.subjectBacteroides
dc.subjectBifidobacterium pseudocatenulatum
dc.subjectBiomarkers
dc.subjectButyrates
dc.subjectCase-Control Studies
dc.subjectCohort Studies
dc.subjectFaecalibacterium prausnitzii
dc.subjectFeces
dc.subjectFemale
dc.subjectGastrointestinal Microbiome
dc.subjectGout
dc.subjectHumans
dc.subjectIntestinal Mucosa
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectPolymerase Chain Reaction
dc.subjectPrincipal Component Analysis
dc.subjectRNA, Ribosomal, 16S
dc.subjectROC Curve
dc.subjectSequence Analysis, DNA
dc.subjectUric Acid
dc.typeArticle
dc.contributor.departmentDEPT OF MICROBIOLOGY & IMMUNOLOGY
dc.contributor.departmentDEPT OF BIOLOGICAL SCIENCES
dc.description.doi10.1038/srep20602
dc.description.sourcetitleScientific Reports
dc.description.volume6
dc.description.page20602
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