4.5 Article

Differentiation of soluble aqueous humor metabolites in primary open angle glaucoma and controls

Journal

EXPERIMENTAL EYE RESEARCH
Volume 194, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.exer.2020.108024

Keywords

Glaucoma; Metabolomics; Aqueous humor; IROA; POAG; NMR

Categories

Funding

  1. DOD [W81XWH-15-1-0079]
  2. NIH [U2C DK119886, EY14801, U24DK097209]
  3. Research to Prevent Blindness
  4. Glaucoma Foundation of New York
  5. National Science Foundation [DMR-1644779]
  6. State of Florida
  7. NIH Common Fund's Metabolomics Data Repository and Coordinating Center [U2C DK119886]

Ask authors/readers for more resources

We report an analysis of the aqueous humor (AH) metabolome of primary open angle glaucoma (POAG) in comparison to normal controls. The AH samples were obtained from human donors [control (n = 35), POAG (n = 23)]. The AH samples were subjected to one-dimensional H-1 nuclear magnetic resonance (NMR) analyses on a Bruker Avance 600 MHz instrument with a 1.7 mM NMR probe. The same samples were then subjected to isotopic ratio outlier analysis (IROA) using a Q Exactive orbitrap mass spectrometer after chromatography on an Accela 600 HPLC. Clusterfinder Build 3.1.10 was used for identification and quantification based on long-term metabolite matrix standards. In total, 278 metabolites were identified in control samples and 273 in POAG AH. The metabolites identified were fed into previously reported proteome and genome information and the OmicsNet interaction network generator to construct a protein-metabolite interactions network with an embedded protein-protein network. Significant differences in metabolite composition in POAG compared to controls were identified indicating potential protein/gene pathways associated with these metabolites. These results will expand our previous understanding of the impeded AH metabolite composition, provide new insight into the regulation of AH outflow, and likely aid in future AH and trabecular meshwork multi-omics network analyses.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available