SEARCHCROSS-SECTIONALophthalmology, glaucoma

cross-sectional·ophthalmology, glaucoma, epidemiology, retina, observational study·PMC10411643

Metabolite and Lipid Biomarkers Associated With Intraocular Pressure and Inner Retinal Morphology: 1 H NMR Spectroscopy Results From the UK Biobank

Investigative Ophthalmology & Visual Science · 9 authors, 8 centres

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TL;DR

The central results show that branched-chain amino acids were associated with lower IOP, HDL-related metabolites with thinner macular retinal nerve fiber layer, and LDL-related metabolites with thicker macular ganglion cell inner plexiform layer.

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Using multiple linear regression models adjusting for covariates, researchers examined associations with intraocular pressure (IOP; n=28,195), macular retinal nerve fiber layer thickness (mRNFL; n=10,584), and macular ganglion cell inner plexiform layer thickness (mGCIPL; n=10,554). For retinal measures, HDL-related metabolites were associated with thinner mRNFL, and LDL-related metabolites were associated with thicker mGCIPL. However, effect sizes were small.

STUDY TYPE

cross-sectional

SPECIALTY

ophthalmology

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100% · A

ORIGINAL PAPER

PMC10411643

Metabolite and Lipid Biomarkers Associated With Intraocular Pressure and Inner Retinal Morphology: 1 H NMR Spectroscopy Results From the UK Biobank

Investigative Ophthalmology & Visual Science

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ABSTRACT

Purpose The purpose of this study was to assess metabolites associated with intraocular pressure (IOP) and inner retina structure. Methods We cross-sectionally assessed 168 non-fasting plasma metabolites measured by nuclear magnetic resonance (NMR) spectroscopy with IOP ( n = 28,195), macular retinal nerve fiber layer thickness (mRNFL; n = 10,584), and macular ganglion cell inner plexiform layer thickness (mGCIPL; n = 10,554) in the UK Biobank. We used multiple linear regression models adjusting for various covariates with probit-transformed metabolite levels as predictors for each outcome. Each estimate represents the difference in outcome variable per standard deviation increase in the probit-transformed metabolite values. We used the number of effective (NEF) tests and false discovery rate (FDR) to adjust for multiple comparisons for metabolites and metabolite classes, respectively. Results In individual metabolite analysis, multiple amino acids, especially branched-chain amino acids, were associated with lower IOP (−0.12 mm Hg; 95% confidence interval = −0.16 to −0.07; NEF = 2.7E-05). Albumin, 3 hydroxybutyrate, lactate, and several lipids were associated with higher IOP (range = 0.07 to 0.18 mm Hg, NEF = ≤ 0.039). In IOP-adjusted analyses, five HDL-related metabolites were associated with thinner mRNFL (−0.15 microns for all metabolites, NEF = ≤ 0.027), whereas five LDL-related metabolites were associated with thicker mGCIPL (range = 0.17 to 0.20 microns; NEF = ≤ 0.044). In metabolite class analysis, the lipid components of lipoproteins (cholesterol, triglycerides, etc.) were not associated with our outcomes (FDR > 0.2 for all); yet multiple lipoproteins were significantly (FDR < 0.05) associated with all outcomes. Conclusions Branched-chain amino acids were associated with lower IOP, HDL metabolites were associated with thinner mRNFL, and LDL metabolites were associated with thicker mGCIPL.

CITATION EXPORT

Louis R. Pasquale, Anthony P. Khawaja, Janey L. Wiggs et al.. Metabolite and Lipid Biomarkers Associated With Intraocular Pressure and Inner Retinal Morphology: 1H NMR Spectroscopy Results From the UK Biobank. Investigative Ophthalmology & Visual Science. (2023). https://doi.org/10.1167/iovs.64.11.11

AUTHORS

9 · 8 CENTRES

Louis R. Pasquale, Anthony P. Khawaja, Janey L. Wiggs, Jihye Kim, Pirro Hysi, Tobias Elze, Jessica Lasky-Su, Jae H. Kang, Oana Zeleznik

1Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
2NIHR Biomedical Research Centre at Moorfields Eye Hospital & UCL Institute of Ophthalmology, London, United Kingdom
3Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
4Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
5Department of Ophthalmology, King's College London, St. Thomas’ Hospital, London, United Kingdom
6Department of Twin Research & Genetic Epidemiology, King's College London, St. Thomas’ Hospital, London, United Kingdom
7Department of Ophthalmology, Schepens Research Eye Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
8Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States