Intraocular pressure, glaucoma and dietary caffeine consumption: a gene-diet interaction study from the UK Biobank

Objective: We examined the association of habitual caffeine intake with intraocular pressure (IOP) and glaucoma and whether these associations were modified by genetic predisposition to higher IOP. We also assessed whether genetic predisposition to higher coffee consumption was related to IOP. Design: A cross-sectional study in the UK Biobank. Participants: We included 121,374 participants (baseline ages 39-73 years) with data on coffee and tea intake (collected 2006-2010) and corneal-compensated IOP measurements in 2009. In a subset of 77,906 participants with up to five web-based 24-hour-recall food frequency questionnaires (2009-2012) we evaluated total caffeine intake. We also assessed the same relations with any glaucoma (9,286 cases and 189,763 controls). Method: We evaluated multivariable-adjusted associations with IOP using linear regression, and with glaucoma using logistic regression. For both outcomes, we examined gene-diet interactions, using a polygenic risk score (PRS), which combined the effects of 111 genetic variants associated with IOP. We also performed two-sample Mendelian Randomization (MR) using 8 genetic variants associated with coffee intake, to assess potential causal effects of coffee consumption on IOP. Main Outcome and Measures: IOP; glaucoma. Results: Mean IOP was 16.0 mmHg (Standard Deviation=3.8). MR analysis did not support a causal effect of coffee drinking on IOP (P>0.1). Greater caffeine intake was weakly associated with lower IOP: the highest (≥232mg/day) vs. lowest (480mg/day versus <80 mg/day was associated with a 0.35 mmHg higher IOP (Pinteraction=0.01). The relation between caffeine intake and glaucoma was null (P≥0.1). However, this relation was also significantly modified by IOP PRS: compared to those in the lowest IOP PRS quartile consuming no caffeine, those in the highest IOP PRS quartile consuming ≥321mg/day had a 3.90-fold higher glaucoma prevalence (Pinteraction=0.0003). Conclusions: Habitual caffeine consumption was weakly associated with lower IOP and the association between caffeine consumption and glaucoma was null. However, among participants with the strongest genetic predisposition to elevated IOP, greater caffeine consumption was associated with higher IOP and higher glaucoma prevalence

Alcohol, intraocular pressure and open-angle glaucoma: A systematic review and meta-analysis

TOPIC: This systematic review and meta-analysis summarizes the existing evidence for the association of alcohol use with intraocular pressure (IOP) and open-angle glaucoma (OAG). CLINICAL RELEVANCE: Understanding and quantifying these associations may aid clinical guidelines or treatment strategies and shed light on disease pathogenesis. The role of alcohol, a modifiable factor, in determining IOP and OAG risk may also be of interest from an individual or public health perspective. METHODS: The study protocol was pre-registered in the Open Science Framework Registries (https://osf.io/z7yeg). Eligible articles (as of 14 May 2021) from three databases (PubMed, Embase, Scopus) were independently screened and quality assessed by two reviewers. All case-control, cross-sectional and cohort studies reporting a quantitative effect estimate and 95% confidence interval (CI) for the association between alcohol use and either IOP or OAG were included. The evidence for the associations with both IOP and OAG were qualitatively summarized. Effect estimates for the association with OAG were pooled using random effects meta-analysis. Studies not meeting formal inclusion criteria for systematic review, but with pertinent results, were also appraised and discussed. Certainty of evidence was assessed using the GRADE framework. RESULTS: Thirty four studies were included in the systematic review. Evidence from 10 studies reporting an association with IOP suggest that habitual alcohol use is associated with higher IOP and prevalence of ocular hypertension (IOP >21mmHg), although absolute effect sizes were small. Eleven of 26 studies, comprising 173 058 participants, that tested for an association with OAG met inclusion criteria for meta-analysis. Pooled effect estimates indicated a positive association between any use of alcohol and OAG (1.18; 95% CI, 1.02-1.36; p=0.03; I2=40.5%), with similar estimates for both prevalent and incident OAG. The overall GRADE certainty of evidence was very low. CONCLUSION: While this meta-analysis suggests a harmful association between alcohol use and OAG, our results should be interpreted cautiously given the weakness and heterogeneity of the underlying evidence base, the small absolute effect size and the borderline statistical significance. Nonetheless, these findings may be clinically relevant and future research should focus on improving the quality of evidence

The Association of Alcohol Consumption with Glaucoma and Related Traits: Findings from the UK Biobank.

PurposeTo examine the associations of alcohol consumption with glaucoma and related traits, to assess whether a genetic predisposition to glaucoma modified these associations, and to perform Mendelian randomization (MR) experiments to probe causal effects.DesignCross-sectional observational and gene-environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia.ParticipantsUK Biobank participants with data on intraocular pressure (IOP) (n = 109 097), OCT-derived macular inner retinal layer thickness measures (n = 46 236) and glaucoma status (n = 173 407).MethodsParticipants were categorized according to self-reported drinking behaviors. Quantitative estimates of alcohol intake were derived from touchscreen questionnaires and food composition tables. We performed a 2-step analysis, first comparing categories of alcohol consumption (never, infrequent, regular, and former drinkers) before assessing for a dose-response effect in regular drinkers only. Multivariable linear, logistic, and restricted cubic spline regression, adjusted for key sociodemographic, medical, anthropometric, and lifestyle factors, were used to examine associations. We assessed whether any association was modified by a multitrait glaucoma polygenic risk score. The inverse-variance weighted method was used for the main MR analyses.Main outcome measuresIntraocular pressure, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and prevalent glaucoma.ResultsCompared with infrequent drinkers, regular drinkers had higher IOP (+0.17 mmHg; P interaction ConclusionsAlcohol intake was consistently and adversely associated with glaucoma and related traits, and at levels below current United Kingdom (Financial disclosure(s)Proprietary or commercial disclosure may be found after the references

The association between serum lipids and intraocular pressure in two large UK cohorts

PURPOSE: Serum lipids are modifiable, routinely collected blood tests associated with cardiovascular health. We examined the association of commonly collected serum lipid measures (total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein (LDL-C) and triglycerides (TG)) with intraocular pressure (IOP). DESIGN: Cross-sectional study in the UK Biobank and EPIC-Norfolk cohorts. PARTICIPANTS: We included 94 323 participants of UK Biobank (mean age 57 years) and 6 230 participants of EPIC-Norfolk (mean age 68 years) with data on TC, HDL-C, LDL-C, TG collected between 2006-2009. METHODS: Multivariable linear regression adjusting for demographic, lifestyle, anthropometric, medical and ophthalmic covariables was used to examine the associations of serum lipids with IOPcc. MAIN OUTCOME MEASURES: IOPcc. RESULTS: Higher levels of TC, HDL-C and LDL-C were independently associated with higher IOPcc in both cohorts after adjustment for key demographic, medical and lifestyle factors. For each standard deviation increase in TC, HDL-C, and LDL-C, IOPcc (mmHg) was higher by 0.09 (95% CI: 0.06-0.11; P<0.001), 0.11 (95% CI 0.08-0.13; P<0.001), 0.07 (95% CI: 0.05-0.09, P<0.001), respectively in the UK Biobank cohort. In the EPIC-Norfolk cohort, each additional standard deviation in TC, HDL-C, and LDL-C was associated with a higher IOPcc (mmHg) by 0.19 (95% CI 0.07-0.31, P=0.001), 0.14 (95% CI 0.03-0.25, P=0.016), and 0.17 (95% CI 0.06-0.29, P=0.003). An inverse association between TGs and IOP in the UK Biobank (-0.05, 95% CI -0.08 to -0.03, P<0.001) was not replicated in the EPIC cohort (P=0.30). CONCLUSION: Our findings suggest that serum TC, HDL-C and LDL-C are positively associated with IOP in two UK cohorts and TGs may be negatively associated. Future research is required to assess whether these associations are causal in nature

The Association of Physical Activity with Glaucoma and Related Traits in the UK Biobank

PURPOSE: To examine the association of physical activity (PA) with glaucoma and related traits, to assess whether genetic predisposition to glaucoma modified these associations, and to probe causal relationships using Mendelian randomization (MR). DESIGN: Cross-sectional observational and gene-environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia. PARTICIPANTS: UK Biobank participants with data on self-reported or accelerometer-derived PA and intraocular pressure (IOP; n = 94 206 and n = 27 777, respectively), macular inner retinal OCT measurements (n = 36 274 and n = 9991, respectively), and glaucoma status (n = 86 803 and n = 23 556, respectively). METHODS: We evaluated multivariable-adjusted associations of self-reported (International Physical Activity Questionnaire) and accelerometer-derived PA with IOP and macular inner retinal OCT parameters using linear regression and with glaucoma status using logistic regression. For all outcomes, we examined gene-PA interactions using a polygenic risk score (PRS) that combined the effects of 2673 genetic variants associated with glaucoma. MAIN OUTCOME MEASURES: Intraocular pressure, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and glaucoma status. RESULTS: In multivariable-adjusted regression models, we found no association of PA level or time spent in PA with glaucoma status. Higher overall levels and greater time spent in higher levels of both self-reported and accelerometer-derived PA were associated positively with thicker mGCIPL (P < 0.001 for trend for each). Compared with the lowest quartile of PA, participants in the highest quartiles of accelerometer-derived moderate- and vigorous-intensity PA showed a thicker mGCIPL by +0.57 μm (P < 0.001) and +0.42 μm (P = 0.005). No association was found with mRNFL thickness. High overall level of self-reported PA was associated with a modestly higher IOP of +0.08 mmHg (P = 0.01), but this was not replicated in the accelerometry data. No associations were modified by a glaucoma PRS, and MR analyses did not support a causal relationship between PA and any glaucoma-related outcome. CONCLUSIONS: Higher overall PA level and greater time spent in moderate and vigorous PA were not associated with glaucoma status but were associated with thicker mGCIPL. Associations with IOP were modest and inconsistent. Despite the well-documented acute reduction in IOP after PA, we found no evidence that high levels of habitual PA are associated with glaucoma status or IOP in the general population. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references

The association of alcohol consumption with glaucoma and related traits: findings from the UK Biobank

PURPOSE: To examine the associations of alcohol consumption with glaucoma and related traits; to assess whether a genetic predisposition to glaucoma modified these associations; and to perform Mendelian randomization (MR) experiments to probe causal effects. DESIGN: Cross-sectional observational and gene-environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia. PARTICIPANTS: UK Biobank participants with data on intraocular pressure (IOP) (n=109 097), OCT derived macular inner retinal layer thickness measures (n=46 236) and glaucoma status (n=173 407). METHODS: Participants were categorized according to self-reported drinking behaviors. Quantitative estimates of alcohol intake were derived from touchscreen questionnaires and food composition tables. We performed a two-step analysis, first comparing categories of alcohol consumption (never, infrequent, regular, and former drinkers), before assessing for a dose-response effect in regular drinkers only. Multivariable linear, logistic and restricted cubic spline (RCS) regression, adjusted for key sociodemographic, medical, anthropometric and lifestyle factors, were used to examine associations. We assessed whether any association was modified by a multi-trait glaucoma polygenic risk score. The inverse-variance weighted method was used for the main MR analyses. MAIN OUTCOME MEASURES: IOP, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and prevalent glaucoma. RESULTS: Compared to infrequent drinkers, regular drinkers had higher IOP (+0.17mmHg; P<0.001) and thinner mGCIPL (-0.17μm; P=0.049); while former drinkers had a higher prevalence of glaucoma (OR 1.53; P=0.002). In regular drinkers, alcohol intake was adversely associated with all outcomes in a dose-dependent manner (all P<0.001). RCS regression analyses suggested non-linear associations, with apparent threshold effects at approximately 50g (∼6 UK or 4 US alcoholic units)/week, for mRNFL and mGCIPL thickness. Significantly stronger alcohol-IOP associations were observed in participants at higher genetic susceptibility to glaucoma (Pinteraction<0.001). MR analyses provided evidence for a causal association with mGCIPL thickness. CONCLUSIONS: Alcohol intake was consistently and adversely associated with glaucoma and related traits, and at levels below current UK (<112g/week) and US (women: <98g/week; men: <196g/week) guidelines. While we cannot infer causality definitively, these results will be of interest to people with, or at risk of, glaucoma and their advising physicians

Intraocular Pressure, Glaucoma, and Dietary Caffeine Consumption

Supplemental material available at www.aaojournal.org.International audiencePurpose: We examined the association of habitual caffeine intake with intraocular pressure (IOP) and glaucoma and whether genetic predisposition to higher IOP modified these associations. We also assessed whether genetic predisposition to higher coffee consumption was related to IOP.Design: Cross-sectional study in the UK Biobank.Participants: We included 121 374 participants (baseline ages, 39-73 years) with data on coffee and tea intake (collected 2006-2010) and corneal-compensated IOP measurements in 2009. In a subset of 77 906 participants with up to 5 web-based 24-hour-recall food frequency questionnaires (2009-2012), we evaluated total caffeine intake. We also assessed the same relationships with glaucoma (9286 cases and 189 763 controls).Methods: We evaluated multivariable-adjusted associations with IOP using linear regression and with glaucoma using logistic regression. For both outcomes, we examined gene-diet interactions using a polygenic risk score (PRS) that combined the effects of 111 genetic variants associated with IOP. We also performed Mendelian randomization using 8 genetic variants associated with coffee intake to assess potential causal effects of coffee consumption on IOP.Main outcome measures: Intraocular pressure and glaucoma.Results: Mendelian randomization analysis did not support a causal effect of coffee drinking on IOP (P > 0.1). Greater caffeine intake was associated weakly with lower IOP: the highest (≥232 mg/day) versus lowest ( 480 mg/day versus < 80 mg/day was associated with a 0.35-mmHg higher IOP (Pinteraction = 0.01). The relationship between caffeine intake and glaucoma was null (P ≥ 0.1). However, the IOP PRS also modified this relationship: compared with those in the lowest IOP PRS quartile consuming no caffeine, those in the highest IOP PRS quartile consuming ≥ 321 mg/day showed a 3.90-fold higher glaucoma prevalence (Pinteraction = 0.0003).Conclusions: Habitual caffeine consumption was associated weakly with lower IOP, and the association between caffeine consumption and glaucoma was null. However, among participants with the strongest genetic predisposition to elevated IOP, greater caffeine consumption was associated with higher IOP and higher glaucoma prevalence

The association of physical activity with glaucoma and related traits in the UK Biobank

International audiencePurposeTo examine the association of physical activity (PA) with glaucoma and related traits; to assess whether genetic predisposition to glaucoma modified these associations; and to probe causal relationships using Mendelian randomization (MR).ParticipantsUK Biobank participants with data on self-reported or accelerometer-derived PA and intraocular pressure (IOP) (N=94 206 and N=27 777, respectively); macular inner retinal optical coherence tomography (OCT) measures (N = 36 274; N=9 991); and glaucoma status (N= 86 803; N=23 556).DesignCross-sectional observational and gene–environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia.MethodsWe evaluated multivariable-adjusted associations of self-reported (International Physical Activity Questionnaire, IPAQ) and accelerometer-derived PA with IOP and macular inner retinal OCT parameters using linear regression, and with glaucoma status using logistic regression. For all outcomes, we examined gene-PA interactions using a polygenic risk score (PRS) that combined the effects of 2 673 genetic variants associated with glaucoma.Main outcome measuresIOP; macular retinal nerve fiber layer (mRNFL) thickness; macular ganglion cell inner plexiform layer (mGCIPL) thickness, and glaucoma status.ResultsIn multivariable-adjusted regression models, we found no association of PA level or time spent in PA with glaucoma status. Higher overall levels and greater time spent in higher levels of both self-reported and accelerometer-derived PA were positively associated with thicker mGCIPL (P trend <0.001 for each). Compared to the lowest quartile of PA, participants in the highest quartiles of accelerometer-derived moderate and vigorous intensity PA had a thicker mGCIPL(μm) by +0.57 (P<0.001) and +0.42 (P=0.005). No association was found with mRNFL thickness. High overall level of self-reported PA was associated with a modestly higher IOP (mmHg): +0.08(P=0.01) but this was not replicated in the accelerometry data. No associations were modified by a glaucoma PRS, and MR analyses did not support a causal relationship between PA and any glaucoma-related outcome.ConclusionHigher overall PA level and greater time spent in moderate and vigorous PA were not associated with glaucoma status but were associated with thicker mGCIPL. Associations with IOP were modest and inconsistent. Despite the well-documented acute reduction in IOP following PA, we found no evidence that high levels of habitual PA are associated with glaucoma status or IOP in the general population

The Association of Alcohol Consumption with Glaucoma and Related Traits: Findings from the UK Biobank

PURPOSE: To examine the associations of alcohol consumption with glaucoma and related traits, to assess whether a genetic predisposition to glaucoma modified these associations, and to perform Mendelian randomization (MR) experiments to probe causal effects. DESIGN: Cross-sectional observational and gene-environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia. PARTICIPANTS: UK Biobank participants with data on intraocular pressure (IOP) (n = 109 097), OCT-derived macular inner retinal layer thickness measures (n = 46 236) and glaucoma status (n = 173 407). METHODS: Participants were categorized according to self-reported drinking behaviors. Quantitative estimates of alcohol intake were derived from touchscreen questionnaires and food composition tables. We performed a 2-step analysis, first comparing categories of alcohol consumption (never, infrequent, regular, and former drinkers) before assessing for a dose-response effect in regular drinkers only. Multivariable linear, logistic, and restricted cubic spline regression, adjusted for key sociodemographic, medical, anthropometric, and lifestyle factors, were used to examine associations. We assessed whether any association was modified by a multitrait glaucoma polygenic risk score. The inverse-variance weighted method was used for the main MR analyses. MAIN OUTCOME MEASURES: Intraocular pressure, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and prevalent glaucoma. RESULTS: Compared with infrequent drinkers, regular drinkers had higher IOP (+0.17 mmHg; P < 0.001) and thinner mGCIPL (-0.17 μm; P = 0.049), whereas former drinkers had a higher prevalence of glaucoma (odds ratio, 1.53; P = 0.002). In regular drinkers, alcohol intake was adversely associated with all outcomes in a dose-dependent manner (all P < 0.001). Restricted cubic spline regression analyses suggested nonlinear associations, with apparent threshold effects at approximately 50 g (∼6 UK or 4 US alcoholic units)/week for mRNFL and mGCIPL thickness. Significantly stronger alcohol-IOP associations were observed in participants at higher genetic susceptibility to glaucoma (Pinteraction < 0.001). Mendelian randomization analyses provided evidence for a causal association with mGCIPL thickness. CONCLUSIONS: Alcohol intake was consistently and adversely associated with glaucoma and related traits, and at levels below current United Kingdom (< 112 g/week) and United States (women, < 98 g/week; men, < 196 g/week) guidelines. Although we cannot infer causality definitively, these results will be of interest to people with or at risk of glaucoma and their advising physicians. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references

The association of alcohol consumption with glaucoma and related traits: Findings from the UK Biobank

Purpose: To examine the associations of alcohol consumption with glaucoma and related traits, to assess whether a genetic predisposition to glaucoma modified these associations, and to perform Mendelian randomization (MR) experiments to probe causal effects. Design: Cross-sectional observational and gene–environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia. Participants: UK Biobank participants with data on intraocular pressure (IOP) (n = 109 097), OCT-derived macular inner retinal layer thickness measures (n = 46 236) and glaucoma status (n = 173 407). Methods: Participants were categorized according to self-reported drinking behaviors. Quantitative estimates of alcohol intake were derived from touchscreen questionnaires and food composition tables. We performed a 2-step analysis, first comparing categories of alcohol consumption (never, infrequent, regular, and former drinkers) before assessing for a dose-response effect in regular drinkers only. Multivariable linear, logistic, and restricted cubic spline regression, adjusted for key sociodemographic, medical, anthropometric, and lifestyle factors, were used to examine associations. We assessed whether any association was modified by a multitrait glaucoma polygenic risk score. The inverse-variance weighted method was used for the main MR analyses. Main Outcome Measures: Intraocular pressure, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell–inner plexiform layer (mGCIPL) thickness, and prevalent glaucoma. Results: Compared with infrequent drinkers, regular drinkers had higher IOP (+0.17 mmHg; P &lt; 0.001) and thinner mGCIPL (-0.17 μm; P = 0.049), whereas former drinkers had a higher prevalence of glaucoma (odds ratio, 1.53; P = 0.002). In regular drinkers, alcohol intake was adversely associated with all outcomes in a dose-dependent manner (all P &lt; 0.001). Restricted cubic spline regression analyses suggested nonlinear associations, with apparent threshold effects at approximately 50 g (∼6 UK or 4 US alcoholic units)/week for mRNFL and mGCIPL thickness. Significantly stronger alcohol–IOP associations were observed in participants at higher genetic susceptibility to glaucoma (Pinteraction &lt; 0.001). Mendelian randomization analyses provided evidence for a causal association with mGCIPL thickness. Conclusions: Alcohol intake was consistently and adversely associated with glaucoma and related traits, and at levels below current United Kingdom (&lt; 112 g/week) and United States (women, &lt; 98 g/week; men, &lt; 196 g/week) guidelines. Although we cannot infer causality definitively, these results will be of interest to people with or at risk of glaucoma and their advising physicians. Financial Disclosure(s): Proprietary or commercial disclosure may be found after the references.</p