June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Identification of plasma metabolites associated with intraocular pressure in a Dutch family-based study
Author Affiliations & Notes
  • Adriana I Iglesias
    Epidemiology, Erasmus MC, Rotterdam, Netherlands
  • Henriet Springelkamp
    Epidemiology, Erasmus MC, Rotterdam, Netherlands
    Ophthalmology, Erasmus MC, Rotterdam, Netherlands
  • Sven van der Lee
    Epidemiology, Erasmus MC, Rotterdam, Netherlands
  • Ayse Demirkan
    Epidemiology, Erasmus MC, Rotterdam, Netherlands
    Human Genetics, Leiden University, Leiden, Netherlands
  • Aswin Verhoeven
    Center for Proteomics and Metabolomics, Leiden University, Leiden, Netherlands
  • Gerd Schmitz
    Institute for Clinical Chemistry and Laboratory Medicina, Regensburg, Germany
  • Ko Willems van Dijk
    Human Genetics, Leiden University, Leiden, Netherlands
  • Thomas Hankemeier
    Leiden Academic Centre for Drug Research, Leiden, Netherlands
  • Caroline C W Klaver
    Epidemiology, Erasmus MC, Rotterdam, Netherlands
    Ophthalmology, Erasmus MC, Rotterdam, Netherlands
  • Cornelia M van Duijn
    Epidemiology, Erasmus MC, Rotterdam, Netherlands
  • Footnotes
    Commercial Relationships Adriana Iglesias, None; Henriet Springelkamp, None; Sven van der Lee, None; Ayse Demirkan, None; Aswin Verhoeven, None; Gerd Schmitz, None; Ko van Dijk, None; Thomas Hankemeier, None; Caroline Klaver, None; Cornelia van Duijn, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 3655. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Adriana I Iglesias, Henriet Springelkamp, Sven van der Lee, Ayse Demirkan, Aswin Verhoeven, Gerd Schmitz, Ko Willems van Dijk, Thomas Hankemeier, Caroline C W Klaver, Cornelia M van Duijn; Identification of plasma metabolites associated with intraocular pressure in a Dutch family-based study. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):3655.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: Recent proteomic studies have found various lipoproteins that regulate lipid metabolism in the circulation and central nervous system. Moreover, components of the metabolic syndrome, particularly dyslipidemia and obesity, have shown to be associated with intraocular pressure (IOP). This raises the question whether specific apolipoproteins, cholesterol sub-fractions and phospholipids influence and are associated with IOP and glaucoma. We have addressed this question in a family-based cohort, the Erasmus Rucphen Family (ERF) Study

Methods: Subjects from ERF were extensively phenotyped using five metabolite platforms; one set by the AbsoluteIDQTM p150 Kit (Biocrates Life Sciences AG) (N-subjects=992), two sets by nuclear magnetic resonance spectroscopy (N=2416 and N=2609) and two sets by mass spectrometry (N=2592 and N=878). IOP measurements were available for N=2277 subjects, the mean IOP of both eyes was used in the analyses. Partial correlation was performed to evaluate correlation between 562 metabolite measures with IOP adjusting for age, gender, and lipid lowering therapy. The number of independent tests yielded a threshold of p<2.4E-4(0.05/200)

Results: In total we found 96 significant correlations with IOP (p<2.4E-04). Correlations were found for various lipid fractions including LDL bound triglycerides (r=0.31, p=1.31E-56), lipid-bound and plasma ApoB (r=0.23,p=1.10E-30), lipid-bound and plasma ApoA1(r=0.18, p=1.95E-19), and lipid-bound and plasma ApoA2 (r=0.17, p=1.46E-18). Inverse correlations were found for HDL bound free-cholesterol (r=-0.22, p=2.47E-28), phospholipids (r=-0.12, p=1.58E-09) and different phosphatidylcholine species (r=-0.22, p=1.61E-11). When the classical circulating lipids (triglycerides, HDL and LDL-cholesterol) were analysed, direction of the correlation was consistent but p-value did not exceed the threshold of significance

Conclusions: Our dense metabolome search indicates that various metabolites, particularly species that are in the triglycerides, LDL and ApoB axes, positive correlate with IOP; while HDL free-cholesterol and phospholipids decrease IOP. Similar to previous proteomic studies we found ApoA1 and ApoA2 to be strongly correlated with IOP. Our findings suggest that blood-based lipid sub-fractions may represent etiological pathways relevant to IOP and should be studied as potential biomarkers to glaucoma

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×