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

Xin Li; Songbing Yang; Yunping Qiu; Tie Zhao; Tianlu Chen; Mingming Su; Lixi Chu; Aiping Lv; Ping Liu; Wei Jia

doi:10.1007/s11306-009-0184-0

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

Xin Li
, Songbing Yang
, Yunping Qiu
, Tie Zhao
, Tianlu Chen
, Mingming Su
, Lixi Chu
, Aiping Lv
, Ping Liu
, Wei Jia

Research output: Contribution to journal › Article › peer-review

41 Scopus citations

Abstract

Metabolomics 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.

Original language	English (US)
Pages (from-to)	109-118
Number of pages	10
Journal	Metabolomics
Volume	6
Issue number	1
DOIs	https://doi.org/10.1007/s11306-009-0184-0
State	Published - Mar 2010
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Biomarker
Histamine
Metabolomics
Osteoarthritis
Phenotype
Stratification

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Biochemistry
Clinical Biochemistry

Access to Document

10.1007/s11306-009-0184-0

Cite this

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title = "Urinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis",

abstract = "Metabolomics 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.",

keywords = "Biomarker, Histamine, Metabolomics, Osteoarthritis, Phenotype, Stratification",

author = "Xin Li and Songbing Yang and Yunping Qiu and Tie Zhao and Tianlu Chen and Mingming Su and Lixi Chu and Aiping Lv and Ping Liu and Wei Jia",

note = "Funding Information: Acknowledgements This work was mainly supported by research grant from a National Basic Research Program of China (Program 973, Project Number 2007CB914700) and Research Grant No. 2006DFA02700 and partly supported by E-institutes of Shanghai Municipal Education Commission, Project Number E03008. The authors would especially like to thank all the study participants who made this research possible.",

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doi = "10.1007/s11306-009-0184-0",

language = "English (US)",

volume = "6",

pages = "109--118",

journal = "Metabolomics",

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number = "1",

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TY - JOUR

T1 - Urinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis

AU - Li, Xin

AU - Yang, Songbing

AU - Qiu, Yunping

AU - Zhao, Tie

AU - Chen, Tianlu

AU - Su, Mingming

AU - Chu, Lixi

AU - Lv, Aiping

AU - Liu, Ping

AU - Jia, Wei

N1 - Funding Information: Acknowledgements This work was mainly supported by research grant from a National Basic Research Program of China (Program 973, Project Number 2007CB914700) and Research Grant No. 2006DFA02700 and partly supported by E-institutes of Shanghai Municipal Education Commission, Project Number E03008. The authors would especially like to thank all the study participants who made this research possible.

PY - 2010/3

Y1 - 2010/3

N2 - Metabolomics 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.

AB - Metabolomics 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.

KW - Biomarker

KW - Histamine

KW - Metabolomics

KW - Osteoarthritis

KW - Phenotype

KW - Stratification

UR - https://www.scopus.com/pages/publications/77949319979

UR - https://www.scopus.com/pages/publications/77949319979#tab=citedBy

U2 - 10.1007/s11306-009-0184-0

DO - 10.1007/s11306-009-0184-0

M3 - Article

AN - SCOPUS:77949319979

SN - 1573-3882

VL - 6

SP - 109

EP - 118

JO - Metabolomics

JF - Metabolomics

IS - 1

ER -

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

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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