2015
DOI: 10.1167/iovs.15-16702
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Metabolome-Wide Association Study of Primary Open Angle Glaucoma

Abstract: PURPOSE.To determine if primary open-angle glaucoma (POAG) patients can be differentiated from controls based on metabolic characteristics. METHODS.We used ultra-high resolution mass spectrometry with C18 liquid chromatography for metabolomic analysis on frozen plasma samples from 72 POAG patients and 72 controls. Metabolome-wide Spearman correlation was performed to select differentially expressed metabolites (DEM) correlated with POAG. We corrected P values for multiple testing using Benjamini and Hochberg f… Show more

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Cited by 67 publications
(79 citation statements)
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References 44 publications
(52 reference statements)
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“…Utilizing HRM and using two different columns allowed for better metabolite separation; we detected and quantified on average 6,500 and 10,500 unique features per column (AE and C18) in urine and plasma, respectively. The number of detected features in the plasma here is slightly lower than reported data for human plasma analyzed similarly (Burgess et al, 2015;Frediani et al, 2014;Patel et al, 2015). However, compared with other untargeted metabolomics applied to both plasma and urine in rodents or humans (Chen et al, 2012;Feng et al, 2016;Ohta et al, 2009;Wikoff et al, 2009), our HRM method is more robust.…”
Section: Discussioncontrasting
confidence: 49%
“…Utilizing HRM and using two different columns allowed for better metabolite separation; we detected and quantified on average 6,500 and 10,500 unique features per column (AE and C18) in urine and plasma, respectively. The number of detected features in the plasma here is slightly lower than reported data for human plasma analyzed similarly (Burgess et al, 2015;Frediani et al, 2014;Patel et al, 2015). However, compared with other untargeted metabolomics applied to both plasma and urine in rodents or humans (Chen et al, 2012;Feng et al, 2016;Ohta et al, 2009;Wikoff et al, 2009), our HRM method is more robust.…”
Section: Discussioncontrasting
confidence: 49%
“…In ophthalmology, metabolomics has been used to study various eye diseases including glaucoma [10][11][12][13][14][15][16] , age-related macular degeneration [17][18][19] , diabetic retinopathy [20][21][22] , keratoconus [23] , refractive error [24,25] , retinal detachment [26] , uveitis [27,28] , dry eye [29,30] , and other ocular surface diseases [31] . Analyses have been performed on tear fluid [23,[29][30][31][32] , aqueous humor [24,25,33,34] , vitreous humor [20,26,27,35,36] , cornea [37][38][39] , conjunctiva [40] , and lens [41,42] samples.…”
Section: Metabolomics In Ophthalmologymentioning
confidence: 99%
“…Moreover, substantial heterogeneity exists among patients. The incidence differs considerably between races, and the clinical manifestation and progression profiles are variable [11] . Genetic mutations and common genetic variants have been linked to several types of glaucoma, but these factors can only explain a small portion of all cases [45] .…”
Section: Metabolomics In Glaucomamentioning
confidence: 99%
See 1 more Smart Citation
“…In this study, we used a metabolome-wide association study (MWAS) 30 , 36 , 37 to identify dose-dependent metabolic changes in TCE-exposed workers and unexposed controls, using a well-characterized, worker population 17 , 19 . Direct TCE and endogenous metabolites were characterized, and pathway analysis was used to identify biological response to TCE exposure.…”
Section: Introductionmentioning
confidence: 99%