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Article: Urinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis

TitleUrinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis
Authors
KeywordsBiomarker
Histamine
Metabolomics
Osteoarthritis
Phenotype
Stratification
Issue Date2010
Citation
Metabolomics, 2010, v. 6, n. 1, p. 109-118 How to Cite?
AbstractMetabolomics has been used as a tool in disease diagnosis and phenotype prediction. A urinary metabolomic study based on GC-MS in combination with multivariate statistics was used here to classify between knee osteoarthritis (OA) and healthy controls. OPLS-DA of the spectral data showed distinct metabolic profile variations between OA patients and healthy controls and between two OA phenotypes. Differential metabolites reveal up-regulated TCA cycle associated with OA and histamine metabolism disorders accompanied with knee effusion symptoms. This metabolomic method is potentially applicable as a novel strategy for OA diagnosis and patient stratification. © Springer Science+Business Media, LLC 2009.
Persistent Identifierhttp://hdl.handle.net/10722/342366
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 0.740
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Xin-
dc.contributor.authorYang, Songbing-
dc.contributor.authorQiu, Yunping-
dc.contributor.authorZhao, Tie-
dc.contributor.authorChen, Tianlu-
dc.contributor.authorSu, Mingming-
dc.contributor.authorChu, Lixi-
dc.contributor.authorLv, Aiping-
dc.contributor.authorLiu, Ping-
dc.contributor.authorJia, Wei-
dc.date.accessioned2024-04-17T07:03:19Z-
dc.date.available2024-04-17T07:03:19Z-
dc.date.issued2010-
dc.identifier.citationMetabolomics, 2010, v. 6, n. 1, p. 109-118-
dc.identifier.issn1573-3882-
dc.identifier.urihttp://hdl.handle.net/10722/342366-
dc.description.abstractMetabolomics has been used as a tool in disease diagnosis and phenotype prediction. A urinary metabolomic study based on GC-MS in combination with multivariate statistics was used here to classify between knee osteoarthritis (OA) and healthy controls. OPLS-DA of the spectral data showed distinct metabolic profile variations between OA patients and healthy controls and between two OA phenotypes. Differential metabolites reveal up-regulated TCA cycle associated with OA and histamine metabolism disorders accompanied with knee effusion symptoms. This metabolomic method is potentially applicable as a novel strategy for OA diagnosis and patient stratification. © Springer Science+Business Media, LLC 2009.-
dc.languageeng-
dc.relation.ispartofMetabolomics-
dc.subjectBiomarker-
dc.subjectHistamine-
dc.subjectMetabolomics-
dc.subjectOsteoarthritis-
dc.subjectPhenotype-
dc.subjectStratification-
dc.titleUrinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11306-009-0184-0-
dc.identifier.scopuseid_2-s2.0-77949319979-
dc.identifier.volume6-
dc.identifier.issue1-
dc.identifier.spage109-
dc.identifier.epage118-
dc.identifier.eissn1573-3890-
dc.identifier.isiWOS:000275444800009-

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