Zhang W - Search Results

1

Classification of osteoarthritis phenotypes by metabolomics analysis.

Zhang W, Likhodii S, Zhang Y, Aref-Eshghi E, Harper PE, Randell E, Green R, Martin G, Furey A, Sun G, Rahman P, Zhai G. Zhang W, et al. Among authors: zhang y. BMJ Open. 2014 Nov 19;4(11):e006286. doi: 10.1136/bmjopen-2014-006286. BMJ Open. 2014. PMID: 25410606 Free PMC article.

2

Relationship between blood plasma and synovial fluid metabolite concentrations in patients with osteoarthritis.

Zhang W, Likhodii S, Aref-Eshghi E, Zhang Y, Harper PE, Randell E, Green R, Martin G, Furey A, Sun G, Rahman P, Zhai G. Zhang W, et al. Among authors: zhang y. J Rheumatol. 2015 May;42(5):859-65. doi: 10.3899/jrheum.141252. Epub 2015 Mar 1. J Rheumatol. 2015. PMID: 25729031

3

METABOLOMICS DIFFERENTIAL CORRELATION NETWORK ANALYSIS OF OSTEOARTHRITIS.

Hu T, Zhang W, Fan Z, Sun G, Likhodi S, Randell E, Zhai G. Hu T, et al. Among authors: zhang w. Pac Symp Biocomput. 2016;21:120-31. Pac Symp Biocomput. 2016. PMID: 26776179 Free article.

4

Lysophosphatidylcholines to phosphatidylcholines ratio predicts advanced knee osteoarthritis.

Zhang W, Sun G, Aitken D, Likhodii S, Liu M, Martin G, Furey A, Randell E, Rahman P, Jones G, Zhai G. Zhang W, et al. Rheumatology (Oxford). 2016 Sep;55(9):1566-74. doi: 10.1093/rheumatology/kew207. Epub 2016 May 9. Rheumatology (Oxford). 2016. PMID: 27160277 Free PMC article.

5

Serum metabolic biomarkers distinguish metabolically healthy peripherally obese from unhealthy centrally obese individuals.

Gao X, Zhang W, Wang Y, Pedram P, Cahill F, Zhai G, Randell E, Gulliver W, Sun G. Gao X, et al. Among authors: zhang w. Nutr Metab (Lond). 2016 May 12;13:33. doi: 10.1186/s12986-016-0095-9. eCollection 2016. Nutr Metab (Lond). 2016. PMID: 27175209 Free PMC article.

6

Hyperglycemia-related advanced glycation end-products is associated with the altered phosphatidylcholine metabolism in osteoarthritis patients with diabetes.

Zhang W, Randell EW, Sun G, Likhodii S, Liu M, Furey A, Zhai G. Zhang W, et al. PLoS One. 2017 Sep 12;12(9):e0184105. doi: 10.1371/journal.pone.0184105. eCollection 2017. PLoS One. 2017. PMID: 28898260 Free PMC article.

7

An evolutionary learning and network approach to identifying key metabolites for osteoarthritis.

Hu T, Oksanen K, Zhang W, Randell E, Furey A, Sun G, Zhai G. Hu T, et al. Among authors: zhang w. PLoS Comput Biol. 2018 Mar 1;14(3):e1005986. doi: 10.1371/journal.pcbi.1005986. eCollection 2018 Mar. PLoS Comput Biol. 2018. PMID: 29494586 Free PMC article.

8

A classification modeling approach for determining metabolite signatures in osteoarthritis.

Rockel JS, Zhang W, Shestopaloff K, Likhodii S, Sun G, Furey A, Randell E, Sundararajan K, Gandhi R, Zhai G, Kapoor M. Rockel JS, et al. Among authors: zhang w. PLoS One. 2018 Jun 29;13(6):e0199618. doi: 10.1371/journal.pone.0199618. eCollection 2018. PLoS One. 2018. PMID: 29958292 Free PMC article.

9

Differential metabolomics analysis allows characterization of diversity of metabolite networks between males and females.

Li Z, Zhang Y, Hu T, Likhodii S, Sun G, Zhai G, Fan Z, Xuan C, Zhang W. Li Z, et al. Among authors: zhang w, zhang y. PLoS One. 2018 Nov 30;13(11):e0207775. doi: 10.1371/journal.pone.0207775. eCollection 2018. PLoS One. 2018. PMID: 30500833 Free PMC article.

10

Differential metabolomics networks analysis of menopausal status.

Cui X, Yu X, Sun G, Hu T, Likhodii S, Zhang J, Randell E, Gao X, Fan Z, Zhang W. Cui X, et al. Among authors: zhang w, zhang j. PLoS One. 2019 Sep 18;14(9):e0222353. doi: 10.1371/journal.pone.0222353. eCollection 2019. PLoS One. 2019. PMID: 31532787 Free PMC article.

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