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Zhu Q, Liu X, Qu Y, Jiang Y, Liu X, Xiao Y, Lv K, Xu Y, Liu K. Neuroprotective effects of healthful plant-based diets on retinal structure: insights from a large cohort. J Nutr Health Aging 2025; 29:100431. [PMID: 39644737 DOI: 10.1016/j.jnha.2024.100431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 11/06/2024] [Accepted: 11/25/2024] [Indexed: 12/09/2024]
Abstract
BACKGROUND Retinal sublayer thickness is associated with both ophthalmic and neurodegenerative diseases, serving as a valuable biomarker. Despite the established role of diet in chronic disease prevention, the relationship between healthy dietary patterns and retinal sublayer thickness remains underexplored. OBJECTIVE This study aims to investigate the associations between four commonly used diet assessment scores and retinal sublayer thickness in a large-scale population. METHODS This study utilized data from the UK Biobank, including 13,993 participants with complete optical coherence tomography (OCT) measurements and dietary assessments. The dietary patterns analyzed were the Alternate Mediterranean Diet (AMED), Anti-Empirical Dietary Inflammatory Index (AEDII), Alternate Healthy Eating Index-2010 (AHEI-2010), and Healthful Plant-Based Diet Index (HPDI). Retinal sublayers measured included macular retinal nerve fiber layer (mRNFL), macular ganglion cell-inner plexiform layer (mGCIPL), macular ganglion cell complex (mGCC), retinal pigment epithelium (mRPE), the outer nuclear layer of the central subfield (ONL), photoreceptor inner segment of the central subfield (IS) and total macular thickness. Multivariable linear regression models adjusted for demographics, ophthalmic measurements, and lifestyle factors were employed to examine associations. Mediation analysis was applied to explore the potential mediation effect of several blood biochemical indicators in simple mediation models. RESULTS Higher HPDI scores were significantly associated with increased central retinal macular thickness (β = 0.106, p = 0.001), mGCIPL thickness (β = 0.017, p = 0.033), mRPE (β = -0.012, p = 0.161), ONL (β = 0.044, p = 0.003), IS (β = 0.003, p = 0.005) and mGCC thickness (β = 0.027, p = 0.025). In contrast, the AMED, AEDII, and AHEI-2010 scores did not show consistent associations with retinal sublayer thickness except ONL and IS. The mediation analysis revealed that cholesterol acted as a suppressor variable, partially mediating the relationship between HPDI and retinal sublayer thickness. Sensitivity analyses indicated that the associations between HPDI and retinal sublayer thickness were more pronounced in younger individuals and females. Additionally, the variability in associations across different age and sex subgroups highlighted the potential influence of demographic factors on dietary impacts. CONCLUSION The study findings suggest that adherence to a healthful plant-based diet may confer neuroprotective benefits, particularly for retinal ganglion cell health. This large-scale population-based study underscores the potential role of diet in mitigating early neurodegenerative changes detectable through non-invasive retinal imaging. Further longitudinal research is needed to establish causal relationships and elucidate the underlying mechanisms between diet and retinal health.
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Affiliation(s)
- Qian Zhu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Xiaoxin Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Yuan Qu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Yan Jiang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Xinyi Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Yu Xiao
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Kangjia Lv
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Yupeng Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
| | - Kun Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China; Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
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Liu K, Fu Y, Ye M, Liu R, Li T, Mao Y, Huang W. Association of hypertension defined by the 2017 ACC/AHA guideline and choroidal thickness changes in type 2 diabetes: a 2-year longitudinal study. Eye (Lond) 2025; 39:162-169. [PMID: 39533035 PMCID: PMC11733246 DOI: 10.1038/s41433-024-03401-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 10/09/2024] [Indexed: 11/16/2024] Open
Abstract
PURPOSE This prospective cohort study investigated the longitudinal relationship between hypertension (HTN), defined by the 2017 ACC/AHA guidelines, and changes in choroidal thickness (CT) in patients with type 2 diabetes. METHODS Patients aged 30-80 years from the Guangzhou Diabetic Eye Study were categorized into non-HTN, stage 1-HTN, and stage 2-HTN groups based on BP criteria. Macular and parapapillary CT were measured using swept-source optical coherence tomography (SS-OCT). Mixed linear regression models analysed CT decline rates over a median 2.1-year follow-up, adjusting for confounders. RESULTS 803 diabetes patients were included. Both stage 1-HTN and stage 2-HTN groups showed significantly thinner macular and parapapillary CT compared to non-HTN (all P < 0.05). Stage 2-HTN correlated with reduced macular CT thinning (coef = -11.29 μm/year; 95% CI, -22.36 to -0.22; P = 0.046) after adjustment, but not in the parapapillary area (coef = -4.07 μm/year; 95% CI, -12.89 to 4.74; P = 0.365). Subgroup analyses indicated faster macular CT decline in stage 2-HTN among those <65 years old (coef = -20.31 μm/year; 95% CI, -35.67 to -4.95; P = 0.10), males (coef = -14.1 μm/year; 95% CI, -32.54 to -4.33; P = 0.004), BMI ≥ 25 kg/m2 (coef = -10.24 μm/year; 95% CI, -26.86 to -6.38; P = 0.007), HbA1c > 6.5% (coef = -8.91 μm/year; 95% CI, -13.49 to -4.68; P = 0.001), and diabetes duration <10 years (coef = -12.78 μm/year; 95% CI, -27.48 to -1.91; P = 0.008). CONCLUSION Stage 2-HTN is associated with accelerated macular CT loss in diabetic patients, suggesting macular CT measurements could potentially serve as early indicators of systemic hypertension. Further research is needed to establish precise CT cutoff values for clinical use in detecting and monitoring hypertension-related ocular changes.
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Affiliation(s)
- Kaiqun Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Yihang Fu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Mengmeng Ye
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Riqian Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Ting Li
- Department of Rheumatology and Immunology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yuxiang Mao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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Pua TS, Hairol MI. Evaluating retinal thickness classification in children: A comparison between pediatric and adult optical coherence tomography databases. PLoS One 2024; 19:e0314395. [PMID: 39775315 PMCID: PMC11684601 DOI: 10.1371/journal.pone.0314395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 11/09/2024] [Indexed: 01/11/2025] Open
Abstract
PURPOSE This study investigates the agreement of children's retinal thickness classification by color category between Topcon 3D OCT-1's built-in adult reference data and our new pediatric database and assesses the correlation of retinal thickness with age and spherical equivalent (SE). METHODS 160 eyes of 160 healthy children (74 boys, 86 girls) aged 6-18 years (mean: 11.60 ± 3.28 years) were evaluated in this cross-sectional study. The peripapillary retinal nerve fibre layer (pRNFL) and macular thickness were determined for the 1st, 5th, 95th, and 99th percentile points. Cohen's κ value and specific agreement between pediatric data and adult reference database were estimated. The correlation between retinal thickness with age and SE was also determined. RESULTS The mean thickness for the total RNFL, average macular, and central macula were 112.05±8.65 μm, 280.24±12.46 μm, and 220.55±17.53 μm, respectively. The overall agreement between the classification of the adult database and pediatric data for pRNFL was ≥90%, with discrepancies in 46 out of 150 eyes (30.67%); for macula, it was above 72%, with discrepancies in 93 out of 153 eyes (60.78%); and for ganglion cell complex and ganglion cell + inner plexiform layer (GCIPL) the agreement was above 84% and 85%, respectively. A significant level of agreement between pediatric data and adult reference data was achieved for temporal RNFL (κ = 0.65), macular perifoveal superior (κ = 0.67), and inferior (κ = 0.63) and inferior GCIPL (κ = 0.67). The correlations between age and retinal thickness were not significant (all p>0.05). Most retinal thickness parameters were positively associated with SE (Pearson's coefficient, r = 0.26 to 0.49, all p<0.05). CONCLUSIONS The overall agreement for pRNFL and macular thickness measurements in children with the adult reference database was between 72% and 90%. Children's retinal thickness was not significantly correlated with age but was positively associated with spherical equivalent.
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Affiliation(s)
- Tian Siew Pua
- Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Mohd Izzuddin Hairol
- Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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Boudriot E, Gabriel V, Popovic D, Pingen P, Yakimov V, Papiol S, Roell L, Hasanaj G, Xu S, Moussiopoulou J, Priglinger S, Kern C, Schulte EC, Hasan A, Pogarell O, Falkai P, Schmitt A, Schworm B, Wagner E, Keeser D, Raabe FJ. Signature of Altered Retinal Microstructures and Electrophysiology in Schizophrenia Spectrum Disorders Is Associated With Disease Severity and Polygenic Risk. Biol Psychiatry 2024; 96:792-803. [PMID: 38679358 DOI: 10.1016/j.biopsych.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/30/2024] [Accepted: 04/14/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Optical coherence tomography and electroretinography studies have revealed structural and functional retinal alterations in individuals with schizophrenia spectrum disorders (SSDs). However, it remains unclear which specific retinal layers are affected; how the retina, brain, and clinical symptomatology are connected; and how alterations of the visual system are related to genetic disease risk. METHODS Optical coherence tomography, electroretinography, and brain magnetic resonance imaging were applied to comprehensively investigate the visual system in a cohort of 103 patients with SSDs and 130 healthy control individuals. The sparse partial least squares algorithm was used to identify multivariate associations between clinical disease phenotype and biological alterations of the visual system. The association of the revealed patterns with individual polygenic disease risk for schizophrenia was explored in a post hoc analysis. In addition, covariate-adjusted case-control comparisons were performed for each individual optical coherence tomography and electroretinography parameter. RESULTS The sparse partial least squares analysis yielded a phenotype-eye-brain signature of SSDs in which greater disease severity, longer duration of illness, and impaired cognition were associated with electrophysiological alterations and microstructural thinning of most retinal layers. Higher individual loading onto this disease-relevant signature of the visual system was significantly associated with elevated polygenic risk for schizophrenia. In case-control comparisons, patients with SSDs had lower macular thickness, thinner retinal nerve fiber and inner plexiform layers, less negative a-wave amplitude, and lower b-wave amplitude. CONCLUSIONS This study demonstrates multimodal microstructural and electrophysiological retinal alterations in individuals with SSDs that are associated with disease severity and individual polygenic burden.
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Affiliation(s)
- Emanuel Boudriot
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany
| | - Vanessa Gabriel
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - David Popovic
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany
| | - Pauline Pingen
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Vladislav Yakimov
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - Sergi Papiol
- Max Planck Institute of Psychiatry, Munich, Germany; Institute of Psychiatric Phenomics and Genomics, LMU Munich, Munich, Germany
| | - Lukas Roell
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; NeuroImaging Core Unit Munich, LMU University Hospital, LMU Munich, Munich, Germany
| | - Genc Hasanaj
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Evidence-Based Psychiatry and Psychotherapy, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Simiao Xu
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Joanna Moussiopoulou
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Siegfried Priglinger
- Department of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Christoph Kern
- Department of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics, LMU Munich, Munich, Germany; Institute of Human Genetics, University Hospital, Faculty of Medicine, University of Bonn, Bonn, Germany; Department of Psychiatry and Psychotherapy, University Hospital, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany; German Center for Mental Health, partner site Munich-Augsburg, Germany
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany; German Center for Mental Health, partner site Munich-Augsburg, Germany
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany; German Center for Mental Health, partner site Munich-Augsburg, Germany; Laboratory of Neurosciences (LIM-27), Institute of Psychiatry, University of São Paulo, São Paulo, Brazil
| | - Benedikt Schworm
- Department of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Elias Wagner
- Evidence-Based Psychiatry and Psychotherapy, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; NeuroImaging Core Unit Munich, LMU University Hospital, LMU Munich, Munich, Germany; Munich Center for Neurosciences, LMU Munich, Planegg-Martinsried, Germany
| | - Florian J Raabe
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany.
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Ahmad NUS, Staggers K, Lee K, Mehta N, Domalpally A, Frankfort BJ, Liu Y, Channa R. Total retinal thickness is an important factor in evaluating diabetic retinal neurodegeneration. BMJ Open Ophthalmol 2024; 9:e001791. [PMID: 39510601 PMCID: PMC11552016 DOI: 10.1136/bmjophth-2024-001791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 09/24/2024] [Indexed: 11/15/2024] Open
Abstract
OBJECTIVE Macular retinal nerve fibre layer (mRNFL) and ganglion cell-inner plexiform layer thickness (GC-IPL) measurements are important markers of diabetic retinal neurodegeneration (DRN). In this cross-sectional study, we aimed to quantify the contribution of total retinal thickness (TRT) and other factors in the variation of mRNFL and GC-IPL thickness among participants with diabetes. METHODS AND ANALYSIS We used macular-centred spectral domain-optical coherence tomography scans from participants with diabetes in the UK Biobank. Two multiple linear regression models (prior to and after adjusting for TRT) were used to determine factors associated with mRNFL and GC-IPL thicknesses. A p value of less than 0.05 was considered statistically significant. RESULTS A total of 3832 eyes from 3832 participants with diabetes were analysed. Factors that explained the greatest variation in thickness were TRT (20.9% for mRNFL and 57.2% for GC-IPL), followed by spherical equivalent (8.0% for mRNFL only), gender (2.2% for mRNFL only) and age (1.4% for GC-IPL only). Other factors significantly associated with mRNFL and/or GC-IPL thickness explained less than 1% of the variation in their thicknesses. Self-reported ancestral background was not significantly associated with mRNFL thickness after accounting for TRT. CONCLUSIONS Although many factors were significantly associated with mRNFL and GC-IPL thickness in participants with diabetes, they accounted for a fraction of the variation in the thickness of both layers. TRT explained most of the variation in these measurements, hence accounting for TRT is needed when using these metrics to evaluate DRN.
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Affiliation(s)
- Noor-Us-Sabah Ahmad
- The University of Iowa Hospitals and Clinics, Department of Ophthalmology and Visual Sciences, Iowa City, Iowa, USA
| | | | - Kyungmoo Lee
- Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, Iowa, USA
| | - Nitish Mehta
- NYU Langone Health, New York, New York State, USA
| | - Amitha Domalpally
- Department of Ophthalmology and Visual Science, University of Wisconsin, Madison, Wisconsin, USA
| | | | - Yao Liu
- Department of Ophthalmology and Visual Science, University of Wisconsin, Madison, Wisconsin, USA
| | - Roomasa Channa
- Department of Ophthalmology and Visual Science, University of Wisconsin, Madison, Wisconsin, USA
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Akar S, Tekeli O, Idil A, Ozturker ZK. Structure-function relationship of reading performance in patients with early to moderate glaucoma. Eur J Ophthalmol 2024; 34:1941-1948. [PMID: 38327144 DOI: 10.1177/11206721241231330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
PURPOSE To assess reading performance in patients with mild to moderate primary open-angle glaucoma (POAG), and to determine the relationship between reading ability and visual field (VF), microperimetry, and optical coherence tomography (OCT) parameters. METHODS Reading performance of 30 POAG patients examined by the Minnesota Reading Acuity Chart (MNREAD) was compared to that of 21 age-matched controls collected from Ankara University in Turkey. Humphrey Field Analyzer (HFA) 24-2 SITA Standard and 10-2 patterns, and microperimetry were used for VF measurements. All subjects underwent OCT analysis for retinal nerve fiber layer thickness (RNFLT), optic nerve head (ONH) measurements, and ganglion cell inner plexiform layer thickness (GCIPLT). The linear relationship between reading parameters and VF, microperimetry, and OCT parameters was investigated. Univariate and multiple logistic regression models were used to identify the risk factors for glaucoma. RESULTS In POAG patients, maximum reading speed (MRS) had a significant association with average rim area, mean cup-to-disc ratio (CDR), and cup volume (p < 0.05, for all). Decreased MRS was associated with thinner average GCIPLT and inferotemporal, superior, and inferior GCIPLT quadrants (p < 0.05, for all). Global index values for the HFA 24-2/10-2 tests, microperimetry, and ONH/RNFLT parameters had no correlation with reading performance. After accounting for the better and worse eyes, gender, education, age, and visual acuity of the glaucoma patients, MRS score was 23 units lower in the worse eye (p = 0.009), critical print size (CPS) was 0.21 units larger in the better eye (p = 0.03) and 0.25 units larger in the worse eye (p < 0.001), reading accesibility index (ACC) was 0.11 units lower in the better eye (p = 0.02) and 0.13 units lower in the worse eye (p = 0.002), and RA was 0.13 units higher in the worse eye (p = 0.003) of POAG patients. CONCLUSION POAG had significantly lower reading performance when compared to healthy subjects. Reading speed was associated with decreased macular GCIPLT indicating that reading performance may be affected in the earlier stages of the disease.
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Affiliation(s)
- Serpil Akar
- Department of Ophthalmology, Baskent University, Istanbul Hospital, Istanbul, Turkey
| | - Oya Tekeli
- Department of Ophthalmology, Ankara University, Ankara, Turkey
| | - Aysun Idil
- Department of Ophthalmology, Vision Studies and Low Vision Rehabilitation Unit, Ankara University, Ankara, Turkey
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Stuart KV, Biradar MI, Luben RN, Dhaun N, Wagner SK, Warwick AN, Sun Z, Madjedi KM, Pasquale LR, Wiggs JL, Kang JH, Lentjes MAH, Aschard H, Kim J, Foster PJ, Khawaja AP. The Association of Urinary Sodium Excretion with Glaucoma and Related Traits in a Large United Kingdom Population. Ophthalmol Glaucoma 2024; 7:499-511. [PMID: 38723778 DOI: 10.1016/j.ogla.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/07/2024] [Accepted: 04/30/2024] [Indexed: 06/22/2024]
Abstract
PURPOSE Excessive dietary sodium intake has known adverse effects on intravascular fluid volume and systemic blood pressure, which may influence intraocular pressure (IOP) and glaucoma risk. This study aimed to assess the association of urinary sodium excretion, a biomarker of dietary intake, with glaucoma and related traits, and determine whether this relationship is modified by genetic susceptibility to disease. DESIGN Cross-sectional observational and gene-environment interaction analyses in the population-based UK Biobank study. PARTICIPANTS Up to 103 634 individuals (mean age: 57 years; 51% women) with complete urinary, ocular, and covariable data. METHODS Urine sodium:creatinine ratio (UNa:Cr; mmol:mmol) was calculated from a midstream urine sample. Ocular parameters were measured as part of a comprehensive eye examination, and glaucoma case ascertainment was through a combination of self-report and linked national hospital records. Genetic susceptibility to glaucoma was calculated based on a glaucoma polygenic risk score comprising 2673 common genetic variants. Multivariable linear and logistic regression, adjusted for key sociodemographic, medical, anthropometric, and lifestyle factors, were used to model associations and gene-environment interactions. MAIN OUTCOME MEASURES Corneal-compensated IOP, OCT derived macular retinal nerve fiber layer and ganglion cell-inner plexiform layer (GCIPL) thickness, and prevalent glaucoma. RESULTS In maximally adjusted regression models, a 1 standard deviation increase in UNa:Cr was associated with higher IOP (0.14 mmHg; 95% confidence interval [CI], 0.12-0.17; P < 0.001) and greater prevalence of glaucoma (odds ratio, 1.11; 95% CI, 1.07-1.14; P < 0.001) but not macular retinal nerve fiber layer or ganglion cell-inner plexiform layer thickness. Compared with those with UNa:Cr in the lowest quintile, those in the highest quintile had significantly higher IOP (0.45 mmHg; 95% CI, 0.36-0.53, P < 0.001) and prevalence of glaucoma (odds ratio, 1.30; 95% CI, 1.17-1.45; P < 0.001). Stronger associations with glaucoma (P interaction = 0.001) were noted in participants with a higher glaucoma polygenic risk score. CONCLUSIONS Urinary sodium excretion, a biomarker of dietary intake, may represent an important modifiable risk factor for glaucoma, especially in individuals at high underlying genetic risk. These findings warrant further investigation because they may have important clinical and public health implications. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Kelsey V Stuart
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
| | - Mahantesh I Biradar
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Robert N Luben
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK; MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Neeraj Dhaun
- Edinburgh Kidney, University/BHF Centre of Research Excellence, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Siegfried K Wagner
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Alasdair N Warwick
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK; UCL Institute of Cardiovascular Science, University College London, London, UK
| | - Zihan Sun
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Kian M Madjedi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK; Department of Ophthalmology, University of Calgary, Calgary, Alberta, Canada
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Jae H Kang
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Université Paris Cité, Paris, France
| | - Jihye Kim
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
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Sun Z, Zhang B, Smith S, Atan D, Khawaja AP, Stuart KV, Luben RN, Biradar MI, McGillivray T, Patel PJ, Khaw PT, Petzold A, Foster PJ. Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy. Eur J Neurol 2024; 31:e16288. [PMID: 38716763 PMCID: PMC11235673 DOI: 10.1111/ene.16288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND AND PURPOSE The eye is a well-established model of brain structure and function, yet region-specific structural correlations between the retina and the brain remain underexplored. Therefore, we aim to explore and describe the relationships between the retinal layer thicknesses and brain magnetic resonance image (MRI)-derived phenotypes in UK Biobank. METHODS Participants with both quality-controlled optical coherence tomography (OCT) and brain MRI were included in this study. Retinal sublayer thicknesses and total macular thickness were derived from OCT scans. Brain image-derived phenotypes (IDPs) of 153 cortical and subcortical regions were processed from MRI scans. We utilized multivariable linear regression models to examine the association between retinal thickness and brain regional volumes. All analyses were corrected for multiple testing and adjusted for confounders. RESULTS Data from 6446 participants were included in this study. We identified significant associations between volumetric brain MRI measures of subregions in the occipital lobe (intracalcarine cortex), parietal lobe (postcentral gyrus), cerebellum (lobules VI, VIIb, VIIIa, VIIIb, and IX), and deep brain structures (thalamus, hippocampus, caudate, putamen, pallidum, and accumbens) and the thickness of the innermost retinal sublayers and total macular thickness (all p < 3.3 × 10-5). We did not observe statistically significant associations between brain IDPs and the thickness of the outer retinal sublayers. CONCLUSIONS Thinner inner and total retinal thicknesses are associated with smaller volumes of specific brain regions. Notably, these relationships extend beyond anatomically established retina-brain connections.
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Affiliation(s)
- Zihan Sun
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | - Bing Zhang
- National Clinical Research Centre for Ocular Diseases, Eye HospitalWenzhou Medical UniversityWenzhouChina
| | - Stephen Smith
- Wellcome Centre for Integrative Neuroimaging (WIN Functional Magnetic Resonance Imaging Building)University of OxfordOxfordUK
| | - Denize Atan
- Bristol Eye HospitalUniversity Hospitals Bristol and Weston NHS Foundation TrustBristolUK
- Translational Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Anthony P. Khawaja
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | - Kelsey V. Stuart
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | - Robert N. Luben
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | - Mahantesh I. Biradar
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | | | - Praveen J. Patel
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | - Peng T. Khaw
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
| | - Axel Petzold
- Queen Square Institute of Neurology, University College London, Department of Molecular NeurosciencesMoorfields Eye Hospital and National Hospital for Neurology and NeurosurgeryLondonUK
- Departments of Neurology and Ophthalmology and Expertise Center for Neuro‐ophthalmologyAmsterdam University Medical CentreAmsterdamthe Netherlands
| | - Paul J. Foster
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of OphthalmologyLondonUK
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Wagner SK, Patel PJ, Huemer J, Khalid H, Stuart KV, Chu CJ, Williamson DJ, Struyven RR, Romero-Bascones D, Foster PJ, Khawaja AP, Petzold A, Balaskas K, Cortina-Borja M, Chapple I, Dietrich T, Rahi JS, Denniston AK, Keane PA. Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort. OPHTHALMOLOGY SCIENCE 2024; 4:100472. [PMID: 38560277 PMCID: PMC10973663 DOI: 10.1016/j.xops.2024.100472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 10/31/2023] [Accepted: 01/12/2024] [Indexed: 04/04/2024]
Abstract
Purpose Periodontitis, a ubiquitous severe gum disease affecting the teeth and surrounding alveolar bone, can heighten systemic inflammation. We investigated the association between very severe periodontitis and early biomarkers of age-related macular degeneration (AMD), in individuals with no eye disease. Design Cross-sectional analysis of the prospective community-based cohort United Kingdom (UK) Biobank. Participants Sixty-seven thousand three hundred eleven UK residents aged 40 to 70 years recruited between 2006 and 2010 underwent retinal imaging. Methods Macular-centered OCT images acquired at the baseline visit were segmented for retinal sublayer thicknesses. Very severe periodontitis was ascertained through a touchscreen questionnaire. Linear mixed effects regression modeled the association between very severe periodontitis and retinal sublayer thicknesses, adjusting for age, sex, ethnicity, socioeconomic status, alcohol consumption, smoking status, diabetes mellitus, hypertension, refractive error, and previous cataract surgery. Main Outcome Measures Photoreceptor layer (PRL) and retinal pigment epithelium-Bruch's membrane (RPE-BM) thicknesses. Results Among 36 897 participants included in the analysis, 1571 (4.3%) reported very severe periodontitis. Affected individuals were older, lived in areas of greater socioeconomic deprivation, and were more likely to be hypertensive, diabetic, and current smokers (all P < 0.001). On average, those with very severe periodontitis were hyperopic (0.05 ± 2.27 diopters) while those unaffected were myopic (-0.29 ± 2.40 diopters, P < 0.001). Following adjusted analysis, very severe periodontitis was associated with thinner PRL (-0.55 μm, 95% confidence interval [CI], -0.97 to -0.12; P = 0.022) but there was no difference in RPE-BM thickness (0.00 μm, 95% CI, -0.12 to 0.13; P = 0.97). The association between PRL thickness and very severe periodontitis was modified by age (P < 0.001). Stratifying individuals by age, thinner PRL was seen among those aged 60 to 69 years with disease (-1.19 μm, 95% CI, -1.85 to -0.53; P < 0.001) but not among those aged < 60 years. Conclusions Among those with no known eye disease, very severe periodontitis is statistically associated with a thinner PRL, consistent with incipient AMD. Optimizing oral hygiene may hold additional relevance for people at risk of degenerative retinal disease. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Siegfried K. Wagner
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Praveen J. Patel
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Josef Huemer
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Ophthalmology and Optometry, Kepler University Hospital, Linz, Austria
| | - Hagar Khalid
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Kelsey V. Stuart
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Colin J. Chu
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Dominic J. Williamson
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, United Kingdom
| | - Robbert R. Struyven
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, United Kingdom
| | - David Romero-Bascones
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Paul J. Foster
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P. Khawaja
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Axel Petzold
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Konstantinos Balaskas
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Iain Chapple
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- School of Dentistry, Birmingham Community Healthcare NHS Foundation Trust, United Kingdom
| | - Thomas Dietrich
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- School of Dentistry, Birmingham Community Healthcare NHS Foundation Trust, United Kingdom
| | - Jugnoo S. Rahi
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Population, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
- Department of Ophthalmology, Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom
- Ulverscroft Vision Research Group, Institute of Child Health, University College London, London, United Kingdom
| | - Alastair K. Denniston
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Pearse A. Keane
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
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Lee RH, Kang JH, Wiggs JL, Wagner SK, Khawaja AP, Pasquale LR. Relationship Between Oral Health and Glaucoma Traits in the United Kingdom. J Glaucoma 2024; 33:400-408. [PMID: 38506820 PMCID: PMC11142868 DOI: 10.1097/ijg.0000000000002370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024]
Abstract
PRCIS In this cross-sectional analysis of UK Biobank participants, we find no adverse association between self-reported oral health conditions and either glaucoma or elevated intraocular pressures. PURPOSE Poor oral health may cause inflammation, which accelerates the progression of neurodegenerative diseases. We investigated the relationship between oral health and glaucoma. PATIENTS United Kingdom Biobank participants. METHODS This is a cross-sectional analysis of participants categorized by self-reported oral health status. Multivariable linear and logistic regression models were used. Primary analysis examined the association with glaucoma prevalence. Secondary analyses examined associations with IOP, macular retinal nerve fiber layer (mRNFL), and ganglion cell inner plexiform layer (mGCIPL) thicknesses, and interaction terms with multitrait glaucoma polygenic risk scores (MTAG PRS) or intraocular pressure (IOP) PRS. RESULTS A total of 170,815 participants (34.3%) reported current oral health problems, including painful or bleeding gums, toothache, loose teeth, and/or denture wear. A In all, 33,059, 33,004, 14,652, and 14,613 participants were available for analysis of glaucoma, IOP, mRNFL, and mGCIPL, respectively. No association between oral health and glaucoma was identified [odds ratio (OR): 1.04, 95% CI: 0.95-1.14]. IOPs were slightly lower among those with oral disease (-0.08 mm Hg, 95% CI: -0.15, -0.009); specifically, among those with loose teeth ( P =0.03) and denture-wearers ( P <0.0001). mRNFL measurements were lower among those with oral health conditions (-0.14 μm, 95% CI: -0.27, -0.0009), but mGCIPL measurements ( P =0.96) were not significantly different. A PRS for IOP or glaucoma did not modify relations between oral health and IOP or glaucoma ( P for interactions ≥0.17). CONCLUSIONS Self-reported oral health was not associated with elevated IOP or an increased risk of glaucoma. Future studies should confirm the null association between clinically diagnosed oral health conditions and glaucoma.
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Affiliation(s)
| | - Jae H Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA
| | - Siegfried K Wagner
- NIHR Birmingham Biomedical Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK
| | - Louis R Pasquale
- New York Eye and Ear Infirmary of Mount Sinai
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY
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Channa R, Wolf RM, Simo R, Brigell M, Fort P, Curcio C, Lynch S, Verbraak F, Abramoff MD. A New Approach to Staging Diabetic Eye Disease: Staging of Diabetic Retinal Neurodegeneration and Diabetic Macular Edema. OPHTHALMOLOGY SCIENCE 2024; 4:100420. [PMID: 38284099 PMCID: PMC10818256 DOI: 10.1016/j.xops.2023.100420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/29/2023] [Accepted: 10/23/2023] [Indexed: 01/30/2024]
Abstract
Topic The goal of this review was to summarize the current level of evidence on biomarkers to quantify diabetic retinal neurodegeneration (DRN) and diabetic macular edema (DME). Clinical relevance With advances in retinal diagnostics, we have more data on patients with diabetes than ever before. However, the staging system for diabetic retinal disease is still based only on color fundus photographs and we do not have clear guidelines on how to incorporate data from the relatively newer modalities into clinical practice. Methods In this review, we use a Delphi process with experts to identify the most promising modalities to identify DRN and DME. These included microperimetry, full-field flash electroretinogram, spectral-domain OCT, adaptive optics, and OCT angiography. We then used a previously published method of determining the evidence level to complete detailed evidence grids for each modality. Results Our results showed that among the modalities evaluated, the level of evidence to quantify DRN and DME was highest for OCT (level 1) and lowest for adaptive optics (level 4). Conclusion For most of the modalities evaluated, prospective studies are needed to elucidate their role in the management and outcomes of diabetic retinal diseases. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Roomasa Channa
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin
| | - Risa M. Wolf
- Department of Pediatric Endocrinology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rafael Simo
- Division of Endocrinology, Vall d’Hebron University Hospital, CIBERDEM, Barcelona, Spain
| | | | - Patrice Fort
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan
| | - Christine Curcio
- Department of Ophthalmology, University of Alabama, Birmingham, Alabama
| | | | - Frank Verbraak
- Department of Ophthalmology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Michael D. Abramoff
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa
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12
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Wagner SK, Bountziouka V, Hysi P, Rahi JS. Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank. EClinicalMedicine 2024; 70:102493. [PMID: 38685932 PMCID: PMC11056416 DOI: 10.1016/j.eclinm.2024.102493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/29/2024] [Accepted: 02/01/2024] [Indexed: 05/02/2024] Open
Abstract
Background Amblyopia is a common neurodevelopmental condition and leading cause of childhood visual impairment. Given the known association between neurodevelopmental impairment and cardiometabolic dysfunction in later life, we investigated whether children with amblyopia have increased risk of cardiometabolic disorders in adult life. Methods This was a cross-sectional and longitudinal analysis of 126,399 United Kingdom Biobank cohort participants who underwent ocular examination. A subset of 67,321 of these received retinal imaging. Data analysis was conducted between November 1st 2021 and October 15th 2022. Our primary objective was to investigate the association between amblyopia and a number of components of metabolic syndrome and individual cardiometabolic diseases. Childhood amblyopia, dichotomised as resolved or persisting by adulthood, cardiometabolic disease and mortality were defined using ophthalmic assessment, self-reported, hospital admissions and death records. Morphological features of the optic nerve and retinal vasculature and sublayers were extracted from retinal photography and optical coherence tomography. Associations between amblyopia and cardiometabolic disorders as well as retinal markers were investigated in multivariable-adjusted regression models. Findings Individuals with persisting amblyopia (n = 2647) were more likely to be obese (adjusted odds ratio (95% confidence interval): 1.16 (1.05; 1.28)), hypertensive (1.25 (1.13; 1.38)) and diabetic (1.29 (1.04; 1.59)) than individuals without amblyopia (controls, (n = 18,481)). Amblyopia was also associated with an increased risk of myocardial infarction (adjusted hazard ratio: 1.38 (1.11; 1.72)) and death (1.36 (1.15; 1.60)). On retinal imaging, amblyopic eyes had significantly increased venular caliber (0.29 units (0.21; 0.36)), increased tortuosity (0.11 units (0.03; 0.19)), but lower fractal dimension (-0.23 units (-0.30; -0.16)) and thinner ganglion cell-inner plexiform layer (mGC-IPL, -2.85 microns (-3.47; -2.22)). Unaffected fellow eyes of individuals with amblyopia also had significantly lower retinal fractal dimension (-0.08 units (-0.15; -0.01)) and thinner mGC-IPL (-1.14 microns (-1.74; -0.54)). Amblyopic eyes with a persisting visual deficit had smaller optic nerve disc height (-0.17 units (-0.25; -0.08)) and width (-0.13 units (-0.21; -0.04)) compared to control eyes. Interpretation Although further research is needed to understand the basis of the observed associations, healthcare professionals should be cognisant of greater cardiometabolic dysfunction in adults who had childhood amblyopia. Differences in retinal features in both the amblyopic eye and the unaffected non-amblyopic suggest generalised versus local processes. Funding Medical Research Council (MR/T000953/1) and the National Institute for Health and Care Research.
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Affiliation(s)
- Siegfried Karl Wagner
- Institute of Ophthalmology, University College London, London, UK
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology London, UK
| | - Vasiliki Bountziouka
- Computer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, University of the Aegean, Greece
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Cardiovascular Research Centre, Department of Cardiovascular Science, University of Leicester, Leicester, UK
| | - Pirro Hysi
- Section of Ophthalmology, School of Life Course Sciences, King's College London, London, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jugnoo Sangeeta Rahi
- Institute of Ophthalmology, University College London, London, UK
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Great Ormond Street Hospital NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, University College London, London, UK
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, UK
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13
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Harris A, Verticchio Vercellin A, Weinreb RN, Khawaja A, MacGregor S, Pasquale LR. Lessons From The Glaucoma Foundation Think Tank 2023: A Patient-Centric Approach to Glaucoma. J Glaucoma 2024; 33:e1-e14. [PMID: 38129952 DOI: 10.1097/ijg.0000000000002353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
PRCIS The main takeaways also included that BIG DATA repositories and AI are important combinatory tools to foster novel strategies to prevent and stabilize glaucoma and, in the future, recover vision loss from the disease. PURPOSE To summarize the main topics discussed during the 28th Annual Glaucoma Foundation Think Tank Meeting "A Patient-Centric Approach to Glaucoma" held in New York on June 9 and 10, 2023. METHODS The highlights of the sessions on BIG DATA, genetics, modifiable lifestyle risk factors, female sex hormones, and neuroprotection in the field of primary open angle glaucoma (POAG) were summarized. RESULTS The researchers discussed the importance of BIG DATA repositories available at national and international levels for POAG research, including the United Kingdom Biobank. Combining genotyped large cohorts worldwide, facilitated by artificial intelligence (AI) and machine-learning approaches, led to the milestone discovery of 312 genome-wide significant disease loci for POAG. While these loci could be combined into a polygenic risk score with clinical utility, Think Tank meeting participants also provided analytical epidemiological evidence that behavioral risk factors modify POAG polygenetic risk, citing specific examples related to caffeine and alcohol use. The impact of female sex hormones on POAG pathophysiology was discussed, as was neuroprotection and the potential use of AI to help mitigate specific challenges faced in clinical trials and speed approval of neuroprotective agents. CONCLUSIONS The experts agreed on the importance of genetics in defining individual POAG risk and highlighted the additional crucial role of lifestyle, gender, blood pressure, and vascular risk factors. The main takeaways also included that BIG DATA repositories and AI are important combinatory tools to foster novel strategies to prevent and stabilize glaucoma and, in the future, recover vision loss from the disease.
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Affiliation(s)
- Alon Harris
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY
| | | | - Robert N Weinreb
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, UC San Diego, La Jolla, CA
| | - Anthony Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Stuart MacGregor
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY
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Zhang C, Zhang Q, Wang Y, Liu R, Dong Y, Shi Z, Sun Y, Ge Z, Liang Y, Zhang J, Du Y, Qiu C. Association of Metabolic Syndrome with Macular Thickness and Volume in Older Adults: A Population-Based Optical Coherence Tomography Study. Metab Syndr Relat Disord 2024; 22:141-150. [PMID: 38237159 DOI: 10.1089/met.2023.0098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024] Open
Abstract
Background: To explore the associations of the metabolic syndrome (MetS) and individual components with macular thickness and volume among rural-dwelling Chinese older adults. Methods: This population-based cross-sectional study included 705 participants (age ≥60 years) derived from the MIND-China study. In 2018-2019, we collected data through face-to-face interview, clinical examination, optical coherence tomography (OCT) examination, and blood test. We measured macular thickness and volume using spectral-domain OCT. MetS was defined following the International Diabetes Federation (IDF) criteria, the IDF/American Heart Association (AHA) criteria, the National Cholesterol Education Program-Adult Treatment Panel III criteria, and the Chinese Diabetes Society (CDS) criteria. Data were analyzed with multivariable general linear models. Results: MetS was significantly associated with thinner macula in central (multivariable-adjusted β = -5.29; 95% confidence interval: -9.31 to -1.26), parafoveal (-2.85; -5.73 to 0.04) and perifoveal regions (-4.37; -6.79 to -1.95) when using the IDF criteria, in the perifoveal regions (-3.82; -6.18 to -1.47) when using the IDF/AHA criteria, and in the central region (-5.63; -10.25 to -1.02) when using the CDS criteria, and with reduced macular volume when using the IDF (-0.16; -0.26 to -0.07) and IDF/AHA (-0.13; -0.22 to -0.04) criteria. In the parafoveal region, the IDF-defined MetS was significantly associated with thinner retina in men (β = -6.25; -10.94 to -1.56) but not in women. Abdominal obesity (-2.83; -5.41 to -0.25) and elevated fasting blood glucose (-2.65; -5.08 to -0.21) were associated with thinner macular thickness in the perifoveal region. Conclusion: MetS is associated with macular thinning and reduced macular volume among rural-dwelling older adults, and the associations vary by the defining criteria of MetS.
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Affiliation(s)
- Cong Zhang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Qinghua Zhang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhuoyu Shi
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ying Sun
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhengwei Ge
- Department of Ophthalmology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yajun Liang
- Department of Neurobiology, Care Sciences and Society, Aging Research Center and Center for Alzheimer Research, Karolinska Institutet-Stockholm University, Stockholm, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Jiayi Zhang
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Neurobiology, Care Sciences and Society, Aging Research Center and Center for Alzheimer Research, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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Zhang Q, Zhang C, Wang Y, Cong L, Liu K, Xu Z, Jiang C, Zhou W, Zhang C, Dong Y, Feng J, Qiu C, Du Y. Quantitative assessments of retinal macular structure among rural-dwelling older adults in China: a population-based, cross-sectional, optical coherence tomography study. BMJ Open 2024; 14:e079006. [PMID: 38320838 PMCID: PMC10860037 DOI: 10.1136/bmjopen-2023-079006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/17/2024] [Indexed: 02/15/2024] Open
Abstract
OBJECTIVES To quantitatively assess and compare retinal macular structures of rural-dwelling older adults in China using two different optical coherence tomography (OCT) scanners and to examine their associations with demographic, lifestyle, clinical and ocular factors. DESIGN, SETTING AND PARTICIPANTS This population-based, cross-sectional study included 971 participants (age ≥60 years) derived from the Multimodal Interventions to Delay Dementia and Disability in Rural China study. We collected data on demographics, lifestyle factors, clinical conditions (eg, cardiovascular disease (CVD)) and ocular factors (eg, visual acuity and spherical equivalent). We used two models of spectral-domain OCT to measure macular parameters in nine Early Treatment Diabetic Retinopathy Study subfields. Data were analysed using the multiple general linear models. RESULTS Spectralis OCT demonstrated higher macular thickness but a lower macular volume than Primus 200 OCT (p<0.05). Nasal quadrant of the inner and outer subfields was the thickest, followed by superior quadrant. Adjusting for multiple potential confounding variables, older age was significantly correlated with lower average inner and outer macular thicknesses and overall macular volume. Men had higher macular parameters than women. The presence of CVD was correlated with lower central macular thickness (β=-6.83; 95% CI: -13.08 to -0.58; p=0.032). Middle school or above was associated with higher average inner macular thickness (β=7.85; 95% CI: 1.14 to 14.55; p=0.022) and higher spherical equivalent was correlated with lower average inner macular thickness (β=-1.78; 95% CI: -3.50 to -0.07; p=0.042). CONCLUSIONS Macular thickness and volume assessed by Spectralis and Primus 200 OCT scanners differ. Older age and female sex are associated with lower macular thickness and volume. Macular parameters are associated with education, CVD and spherical equivalent. TRIAL REGISTERATION NUMBER MIND-China study (ChiCTR1800017758).
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Affiliation(s)
- Qinghua Zhang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Cong Zhang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Zhe Xu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Chunyan Jiang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Weiyan Zhou
- Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Ophthalmology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, JInan, Shandong, People's Republic of China
| | - Chunxiao Zhang
- Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Ophthalmology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, JInan, Shandong, People's Republic of China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Jianli Feng
- Department of Neurology, Shandong Provincial ENT Hospital, Jinan, Shandong, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurobiology, Aging Research Center and Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - YiFeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
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Guo X, Zhu Z, Bulloch G, Huang W, Wang W. Impacts of Chronic Kidney Disease on Retinal Neurodegeneration: A Cross-Cohort Analysis. Am J Ophthalmol 2024; 258:173-182. [PMID: 37820988 DOI: 10.1016/j.ajo.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/13/2023]
Abstract
PURPOSE To assess the cross-sectional and longitudinal associations between chronic kidney disease (CKD) and ganglion cell-inner plexiform layer (GCIPL) thickness in a UK Biobank population and a Chinese cohort. DESIGN Prospective observational cohort study and cross-sectional study. METHOD This study included 23,014 individuals without neurodegenerative diseases from the UK Biobank, and 3 years of annual follow-up data of 2197 individuals from a Chinese cohort. Three groups were defined by estimated glomerular filtration rate (eGFR) based on serum creatinine classifying CKD severity as no CKD, mild CKD, and moderate to severe CKD (MS-CKD). GCIPL thickness, measured using optical coherence tomography, was analyzed through linear regression over time to determine its decline rate in micrometers per year. Linear regression models were used to assess the correlation between renal function and both the baseline GCIPL thickness and the GCIPL decline rate. RESULTS The cross-sectional analysis in a largely white population showed that poorer renal function negatively correlated with GCIPL thickness with a mean of 0.15 µm thinner (95% confidence interval [CI] -0.30 to -0.01; P = .042) in mild CKD and 0.83 µm thinner (95% CI -1.34 to -0.32; P = .001) in MS-CKD compared with that of control subjects without CKD. Longitudinal analysis in the Chinese cohort showed that the GCIPL decreased more rapidly in persons with poorer renal function. After correcting for all confounding factors, the rate of GCIPL thinning was 0.30 µm/year (95% CI -0.41 to -0.19; P < .001) more in the mild CKD group and 0.52 µm/year (95% CI -0.79 to -0.26; P < .001) more in the MS-CKD group compared with control subjects without CKD. This relationship also occurred in individuals with diabetes or hypertension. CONCLUSIONS Poor renal function was associated with a lower baseline GCIPL thickness in the UK population and a faster decline rate in Chinese participants. However, the detailed underlying mechanisms still need further exploration.
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Affiliation(s)
- Xiao Guo
- From the State Key Laboratory of Ophthalmology (X.G., W.H., W.W.), Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia (Z.Z., G.B.), Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - Gabriella Bulloch
- Centre for Eye Research Australia (Z.Z., G.B.), Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - Wenyong Huang
- From the State Key Laboratory of Ophthalmology (X.G., W.H., W.W.), Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China; Hainan Eye Hospital and Key Laboratory of Ophthalmology (W.H., W.W.), Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, 570311, Hainan Province, China.
| | - Wei Wang
- From the State Key Laboratory of Ophthalmology (X.G., W.H., W.W.), Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China; Hainan Eye Hospital and Key Laboratory of Ophthalmology (W.H., W.W.), Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, 570311, Hainan Province, China.
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Stuart KV, Madjedi KM, Luben RN, Biradar MI, Wagner SK, Warwick AN, Sun Z, Hysi PG, Simcoe MJ, Foster PJ, Khawaja AP. Smoking, Corneal Biomechanics, and Glaucoma: Results From Two Large Population-Based Cohorts. Invest Ophthalmol Vis Sci 2024; 65:11. [PMID: 38170539 PMCID: PMC10768714 DOI: 10.1167/iovs.65.1.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
Purpose Smoking may influence measured IOP through an effect on corneal biomechanics, but it is unclear whether this factor translates into an increased risk for glaucoma. This study aimed to examine the association of cigarette smoking with corneal biomechanical properties and glaucoma-related traits, and to probe potential causal effects using Mendelian randomization (MR). Methods Cross-sectional analyses within the UK Biobank (UKB) and Canadian Longitudinal Study on Aging (CLSA) cohorts. Multivariable linear and logistic regression models were used to assess associations of smoking (status, intensity, and duration) with corneal hysteresis (CH), corneal resistance factor, IOP, inner retinal thicknesses, and glaucoma. Two-sample MR analyses were performed. Results Overall, 68,738 UKB (mean age, 56.7 years; 54.7% women) and 22 845 CLSA (mean age, 62.7 years; 49.1% women) participants were included. Compared with nonsmokers, smokers had a higher CH (UKB, +0.48 mm Hg; CLSA, +0.57 mm Hg; P < 0.001) and corneal resistance factor (UKB, +0.47 mm Hg; CLSA, +0.60 mm Hg; P < 0.001) with evidence of a dose-response effect in both studies. Differential associations with Goldmann-correlated IOP (UKB, +0.25 mm Hg; CLSA, +0.36 mm Hg; P < 0.001) and corneal-compensated IOP (UKB, -0.28 mm Hg; CLSA, -0.32 mm Hg; P ≤ 0.001) were observed. Smoking was not associated with inner retinal thicknesses or glaucoma status in either study. MR provided evidence for a causal effect of smoking on corneal biomechanics, especially higher CH. Conclusions Cigarette smoking seems to increase corneal biomechanical resistance to deformation, but there was little evidence to support a relationship with glaucoma. This outcome may result in an artefactual association with measured IOP and could account for discordant results with glaucoma in previous epidemiological studies.
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Affiliation(s)
- Kelsey V. Stuart
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Kian M. Madjedi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Ophthalmology, University of Calgary, Calgary, Alberta, Canada
| | - Robert N. Luben
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Mahantesh I. Biradar
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Siegfried K. Wagner
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Alasdair N. Warwick
- UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Zihan Sun
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Pirro G. Hysi
- Department of Ophthalmology, St Thomas’ Hospital, King's College London, London, United Kingdom
- Department of Twin Research & Genetic Epidemiology, St Thomas’ Hospital, King's College London, London, United Kingdom
| | - Mark J. Simcoe
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Ophthalmology, St Thomas’ Hospital, King's College London, London, United Kingdom
- Department of Twin Research & Genetic Epidemiology, St Thomas’ Hospital, King's College London, London, United Kingdom
| | - Paul J. Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P. Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - on behalf of the Modifiable Risk Factors for Glaucoma Collaboration and the UK Biobank Eye and Vision Consortium
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Ophthalmology, University of Calgary, Calgary, Alberta, Canada
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
- UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
- Department of Ophthalmology, St Thomas’ Hospital, King's College London, London, United Kingdom
- Department of Twin Research & Genetic Epidemiology, St Thomas’ Hospital, King's College London, London, United Kingdom
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Majithia S, Chong CCY, Chee ML, Yu M, Soh ZD, Thakur S, Lavanya R, Rim TH, Nusinovici S, Koh V, Sabanayagam C, Cheng CY, Tham YC. Associations between Chronic Kidney Disease and Thinning of Neuroretinal Layers in Multiethnic Asian and White Populations. OPHTHALMOLOGY SCIENCE 2024; 4:100353. [PMID: 37869020 PMCID: PMC10587624 DOI: 10.1016/j.xops.2023.100353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/22/2023] [Accepted: 06/14/2023] [Indexed: 10/24/2023]
Abstract
Purpose To evaluate the relationships between chronic kidney disease (CKD) with retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) thickness profiles of eyes in Asian and White populations. Design Cross-sectional analysis. Participants A total of 5066 Asian participants (1367 Malays, 1772 Indians, and 1927 Chinese) from the Singapore Epidemiology of Eye Diseases Study (SEED) were included, consisting of 9594 eyes for peripapillary RNFL analysis and 8661 eyes for GCIPL analysis. Additionally, 45 064 White participants (87 649 eyes) from the United Kingdom Biobank (UKBB) were included for both macular RNFL analysis and GCIPL analysis. Methods Nonglaucoma participants aged ≥ 40 years with complete data for estimated glomerular filtration rate (eGFR) were included from both SEED and UKBB. In SEED, peripapillary RNFL and GCIPL thickness were measured by Cirrus HD-OCT 4000. In UKBB, macular RNFL and GCIPL were measured by Topcon 3D-OCT 1000 Mark II. Chronic kidney disease was defined as eGFR < 60 ml/min/1.73 m2 in both data sets. To evaluate the associations between kidney function status with RNFL and GCIPL thickness profiles, multivariable linear regression with generalized estimating equation models were performed in SEED and UKBB data sets separately. Main Outcome Measures Average peripapillary and macular RNFL thickness and macular GCIPL thickness. Results In SEED, after adjusting for age, gender, ethnicity, systolic blood pressure, antihypertensive medication, diabetes, hyperlipidemia, body mass index, smoking status, and intraocular pressure, presence of CKD (β = -1.31; 95% confidence interval [CI], -2.37 to -0.26; P = 0.015) and reduced eGFR (per 10 ml/min/1.73 m2; β = -0.32; 95% CI, -0.50 to -0.13; P = 0.001) were associated with thinner average peripapillary RNFL. Presence of CKD (β = -1.63; 95% CI, -2.42 to -0.84) and reduced eGFR (per 10 ml/min/1.73 m2; β = -0.30; 95% CI, -0.44 to -0.16) were consistently associated with thinner GCIPL in SEED (all P < 0.001). In UKBB, after adjusting for the above-mentioned covariates (except ethnicity), reduced eGFR (per 10 ml/min/1.73 m2; β = -0.06; 95% CI, -0.10 to -0.01; P = 0.008) was associated with thinner macular RNFL and CKD (β = -0.62; 95% CI, -1.16 to -0.08; P = 0.024) was associated with thinner average GCIPL. Conclusion We consistently observed associations between CKD and thinning of RNFL and GCIPL across Asian and White populations' eyes. These findings further suggest that compromised kidney function is associated with RNFL and GCIPL thinning. Financial Disclosures The author(s) have no proprietary or commercial interest in any materials discussed in this article.
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Affiliation(s)
- Shivani Majithia
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | | | - Miao Li Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Marco Yu
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore
| | - Zhi Da Soh
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Sahil Thakur
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Raghavan Lavanya
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Tyler Hyungtaek Rim
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore
| | - Simon Nusinovici
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Victor Koh
- Centre for Innovation & Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Ophthalmology, National University Hospital, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore
- Centre for Innovation & Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore
- Centre for Innovation & Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Liu K, Zhang J. Cost-efficient and glaucoma-specifical model by exploiting normal OCT images with knowledge transfer learning. BIOMEDICAL OPTICS EXPRESS 2023; 14:6151-6171. [PMID: 38420316 PMCID: PMC10898582 DOI: 10.1364/boe.500917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/17/2023] [Accepted: 10/21/2023] [Indexed: 03/02/2024]
Abstract
Monitoring the progression of glaucoma is crucial for preventing further vision loss. However, deep learning-based models emphasize early glaucoma detection, resulting in a significant performance gap to glaucoma-confirmed subjects. Moreover, developing a fully-supervised model is suffering from insufficient annotated glaucoma datasets. Currently, sufficient and low-cost normal OCT images with pixel-level annotations can serve as valuable resources, but effectively transferring shared knowledge from normal datasets is a challenge. To alleviate the issue, we propose a knowledge transfer learning model for exploiting shared knowledge from low-cost and sufficient annotated normal OCT images by explicitly establishing the relationship between the normal domain and the glaucoma domain. Specifically, we directly introduce glaucoma domain information to the training stage through a three-step adversarial-based strategy. Additionally, our proposed model exploits different level shared features in both output space and encoding space with a suitable output size by a multi-level strategy. We have collected and collated a dataset called the TongRen OCT glaucoma dataset, including pixel-level annotated glaucoma OCT images and diagnostic information. The results on the dataset demonstrate our proposed model outperforms the un-supervised model and the mixed training strategy, achieving an increase of 5.28% and 5.77% on mIoU, respectively. Moreover, our proposed model narrows performance gap to the fully-supervised model decreased by only 1.01% on mIoU. Therefore, our proposed model can serve as a valuable tool for extracting glaucoma-related features, facilitating the tracking progression of glaucoma.
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Affiliation(s)
- Kai Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, 100083, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, 98121, China
| | - Jicong Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, 100083, China
- Hefei Innovation Research Institute, Beihang University, Hefei, 230012, China
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Pedersen FN, Stokholm L, Lois N, Yang D, Cheung CY, Biessels GJ, Exalto L, Simó R, Peto T, Pouwer F, Grauslund J. Structural and Metabolic Retinal Changes Associated With Mild Cognitive Impairment in Type 2 Diabetes. Diabetes 2023; 72:1853-1863. [PMID: 37725903 DOI: 10.2337/db23-0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 09/05/2023] [Indexed: 09/21/2023]
Abstract
Type 2 diabetes is associated with cognitive impairment and a twofold increased risk of dementia compared with age-matched individuals without diabetes. Given that the eye and the brain share similar embryologic origin and anatomical features, the retina offers a unique window to the brain. In this study, we wanted to determine whether there was a difference in retinal imaging-based neuronal and vascular markers in individuals with type 2 diabetes with or without mild cognitive impairment (MCI). We included 134 persons with type 2 diabetes. Based on neuropsychological tests, the prevalence of MCI was 28%. We performed seven-field color fundus photos, optical coherence tomography (OCT), OCT-angiography (OCT-A), and retinal oximetry to analyze retinal markers. In a multivariable cluster analysis, persons with MCI had a significantly thinner macular retinal nerve fiber layer and macular ganglion cell layer, and less venular oxygen saturation in the nasal quadrant compared with those without MCI. There were no differences in retinal vessel density, fractal dimension, width, tortuosity, or OCT-A markers. People with type 2 diabetes and MCI demonstrate alterations in retinal structure and metabolism, suggesting noninvasive retinal markers may be useful to detect people with type 2 diabetes at risk for cognitive dysfunction. ARTICLE HIGHLIGHTS Type 2 diabetes is associated with mild cognitive impairment (MCI). Therefore, retinal and cerebral neurodegeneration may run in parallel. To assess whether there was a difference in retinal structure, vessel, and metabolic parameters in individuals with MCI. We found those with MCI had a thinner macular retinal nerve fiber layer, macular ganglion cell layer, and less venular oxygen saturation. We suggest noninvasive retinal markers may be useful to detect those at risk of cognitive dysfunction.
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Affiliation(s)
- Frederik N Pedersen
- Department of Ophthalmology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Lonny Stokholm
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Open Patient Data Explorative Network, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Noemi Lois
- Wellcome-Wolfson Institute for Experimental Research, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, Northern Ireland, U.K
| | - Dawei Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Lieza Exalto
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rafael Simó
- Department of Endocrinology, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute and CIBERDEM, Instituto de Salud Carlos III, Barcelona, Spain
| | - Tunde Peto
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Wellcome-Wolfson Institute for Experimental Research, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, Northern Ireland, U.K
| | - Frans Pouwer
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Jakob Grauslund
- Department of Ophthalmology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
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21
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Sano K, Terauchi R, Fukai K, Furuya Y, Nakazawa S, Kojimahara N, Hoshi K, Nakano T, Toyota A, Tatemichi M. Association Between Alcohol Consumption Patterns and Glaucoma in Japan. J Glaucoma 2023; 32:968-975. [PMID: 37748099 PMCID: PMC10621645 DOI: 10.1097/ijg.0000000000002308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 08/25/2023] [Indexed: 09/27/2023]
Abstract
PRCIS In this case-control study of the Japanese population, including 3207 glaucoma cases, alcohol consumption patterns such as frequency and quantity showed a positive association with glaucoma prevalence. PURPOSE To examine the association between alcohol consumption patterns and glaucoma. SUBJECTS AND METHODS This case-control study evaluated 3207 cases with glaucoma and 3207 matched controls. Patients over 40 years of age were included from 1,693,611 patients admitted to 34 hospitals in Japan. Detailed alcohol consumption patterns (drinking frequency, average daily drinks, and total lifetime drinks) were obtained, as well as various confounding factors, including smoking history and lifestyle-related comorbidities. Conditional logistic regression models were used to calculate odds ratios (ORs) and 95% CIs for glaucoma prevalence. RESULTS Drinking frequency showed an association with glaucoma for "a few days/week" (OR, 1.19; 95% CI, 1.03-1.38) and "almost every day/week" (OR, 1.40; 95% CI, 1.18-1.66). Average daily drinks showed an association for ">0-2 drinks/day" (OR, 1.16; 95% CI, 1.03-1.32). Total lifetime drinks showed an association for ">60-90 drink-year" (OR, 1.23; 95% CI, 1.01-1.49) and ">90 drink-year" (OR, 1.23; 95% CI, 1.05-1.44). As alcohol consumption levels differed considerably between men and women, additional analyses were conducted separately for men and women. Among men, drinking frequency of "a few days/week" and "almost every day/week," average daily drinks of ">0-2 drinks/day" and ">2-4 drinks/day," and total lifetime drinks of ">60-90 drink-year" and ">90 drink-year" had an association with glaucoma. Conversely, among women, neither drinking frequency, average daily drinks, nor total lifetime drinks were associated. CONCLUSIONS Both the frequency and quantity of alcohol consumption were associated with glaucoma. Further research on gender differences is warranted.
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Affiliation(s)
- Kei Sano
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo
| | - Ryo Terauchi
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo
| | - Kota Fukai
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara
| | - Yuko Furuya
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara
| | - Shoko Nakazawa
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara
| | - Noriko Kojimahara
- Department of Public Health, Shizuoka Graduate University of Public Health, Shizuoka
| | - Keika Hoshi
- Center for Health Informatics Policy, National Institute of Public Health, Wako
- Department of Hygiene, School of Medicine, Kitasato University, Sagamihara
| | - Tadashi Nakano
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo
| | - Akihiro Toyota
- Chugoku Rosai Hospital Research Center for the Promotion of Health and Employment Support, Japan Organization of Occupational Health and Safety, Hiroshima, Japan
| | - Masayuki Tatemichi
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara
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Wagner SK, Romero-Bascones D, Cortina-Borja M, Williamson DJ, Struyven RR, Zhou Y, Patel S, Weil RS, Antoniades CA, Topol EJ, Korot E, Foster PJ, Balaskas K, Ayala U, Barrenechea M, Gabilondo I, Schapira AHV, Khawaja AP, Patel PJ, Rahi JS, Denniston AK, Petzold A, Keane PA. Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease. Neurology 2023; 101:e1581-e1593. [PMID: 37604659 PMCID: PMC10585674 DOI: 10.1212/wnl.0000000000207727] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 06/14/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether this can be reliably detected with in vivo imaging. We investigated inner retinal anatomy, measured using optical coherence tomography (OCT), in prevalent PD and subsequently assessed the association of these markers with the development of PD using a prospective research cohort. METHODS This cross-sectional analysis used data from 2 studies. For the detection of retinal markers in prevalent PD, we used data from AlzEye, a retrospective cohort of 154,830 patients aged 40 years and older attending secondary care ophthalmic hospitals in London, United Kingdom, between 2008 and 2018. For the evaluation of retinal markers in incident PD, we used data from UK Biobank, a prospective population-based cohort where 67,311 volunteers aged 40-69 years were recruited between 2006 and 2010 and underwent retinal imaging. Macular retinal nerve fiber layer (mRNFL), ganglion cell-inner plexiform layer (GCIPL), and inner nuclear layer (INL) thicknesses were extracted from fovea-centered OCT. Linear mixed-effects models were fitted to examine the association between prevalent PD and retinal thicknesses. Hazard ratios for the association between time to PD diagnosis and retinal thicknesses were estimated using frailty models. RESULTS Within the AlzEye cohort, there were 700 individuals with prevalent PD and 105,770 controls (mean age 65.5 ± 13.5 years, 51.7% female). Individuals with prevalent PD had thinner GCIPL (-2.12 μm, 95% CI -3.17 to -1.07, p = 8.2 × 10-5) and INL (-0.99 μm, 95% CI -1.52 to -0.47, p = 2.1 × 10-4). The UK Biobank included 50,405 participants (mean age 56.1 ± 8.2 years, 54.7% female), of whom 53 developed PD at a mean of 2,653 ± 851 days. Thinner GCIPL (hazard ratio [HR] 0.62 per SD increase, 95% CI 0.46-0.84, p = 0.002) and thinner INL (HR 0.70, 95% CI 0.51-0.96, p = 0.026) were also associated with incident PD. DISCUSSION Individuals with PD have reduced thickness of the INL and GCIPL of the retina. Involvement of these layers several years before clinical presentation highlight a potential role for retinal imaging for at-risk stratification of PD.
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Affiliation(s)
- Siegfried Karl Wagner
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom.
| | - David Romero-Bascones
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Mario Cortina-Borja
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Dominic J Williamson
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Robbert R Struyven
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Yukun Zhou
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Salil Patel
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Rimona S Weil
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Chrystalina A Antoniades
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Eric J Topol
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Edward Korot
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Paul J Foster
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Konstantinos Balaskas
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Unai Ayala
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Maitane Barrenechea
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Iñigo Gabilondo
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Anthony H V Schapira
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Anthony P Khawaja
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Praveen J Patel
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Jugnoo S Rahi
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Alastair K Denniston
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Axel Petzold
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Pearse Andrew Keane
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
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Mahmoudinezhad G, Nishida T, Weinreb RN, Baxter SL, Chang AC, Nikkhoy N, Walker E, Liebmann JM, Girkin CA, Moghimi S. Associations of smoking and alcohol consumption with the development of open angle glaucoma: a retrospective cohort study. BMJ Open 2023; 13:e072163. [PMID: 37793935 PMCID: PMC10551939 DOI: 10.1136/bmjopen-2023-072163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/22/2023] [Indexed: 10/06/2023] Open
Abstract
OBJECTIVES To investigate the associations of alcohol consumption and smoking with the development of perimetric glaucoma in patients with suspected glaucoma. DESIGN A retrospective cohort study of patients suspected to have glaucoma enrolled in the Diagnostic Innovations in Glaucoma Study (DIGS) and the African Descent and Glaucoma Evaluation Study (ADAGES). SETTING Three tertiary glaucoma centres in the USA. PARTICIPANTS 825 eyes of 610 patients with glaucoma suspect eyes with normal visual fields (VF) at baseline were followed over an average of 9 years from the DIGS and ADAGES studies. OUTCOME MEASURES Development of glaucoma was defined as occurrence of three consecutive abnormal VF tests during follow-up. Univariable and multivariable Cox regression models were used to investigate lifestyle-related factors associated with development of VF loss over time. RESULTS VF tests were abnormal three times in a row in 235 (28.5%) eyes. Alcohol consumption was associated with a higher risk of developing glaucoma (HR 1.57, 95% CI 1.03 to 2.38, p=0.037). In men, the risk of developing glaucoma in alcohol drinkers (HR 1.92, 95% CI 1.00 to 3.68, p=0.048) was greater than non-alcohol drinkers. In individuals of African descent, the risk of developing glaucoma in alcohol drinkers (HR 1.79, 95% CI 1.02 to 3.15, p=0.043) was greater than non-alcohol drinkers. Age was a modifier of the relationship between smoking and glaucomatous VF defects (p=0.048). The risk of developing glaucoma in smokers (HR 1.73, 95% CI 1.10 to 2.72, p=0.019) was greater than never smokers after adjustment for confounding factors in older patients (age >61 years). CONCLUSION Alcohol consumption was associated with an increased risk of developing glaucoma, particularly in men and individuals of African descent. The risk of developing glaucoma among smokers suspected of having glaucoma was influenced by age, with older individuals having a higher risk than younger people. TRIAL REGISTRATION NUMBER NCT00221897 and NCT00221923.
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Affiliation(s)
- Golnoush Mahmoudinezhad
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
| | - Takashi Nishida
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
| | - Robert N Weinreb
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
| | - Sally L Baxter
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
- Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA
| | - Aimee C Chang
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
| | - Nicki Nikkhoy
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
| | - Evan Walker
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
| | - Jeffrey M Liebmann
- Department of Ophthalmology, Columbia University Medical Center, New York, New York, USA
| | - Christopher A Girkin
- Department of Ophthalmology, Bernard School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sasan Moghimi
- Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
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Stuart KV, Pasquale LR, Kang JH, Foster PJ, Khawaja AP. Towards modifying the genetic predisposition for glaucoma: An overview of the contribution and interaction of genetic and environmental factors. Mol Aspects Med 2023; 93:101203. [PMID: 37423164 PMCID: PMC10885335 DOI: 10.1016/j.mam.2023.101203] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/26/2023] [Accepted: 07/05/2023] [Indexed: 07/11/2023]
Abstract
Glaucoma, the leading cause of irreversible blindness worldwide, is a complex human disease, with both genetic and environmental determinants. The availability of large-scale, population-based cohorts and biobanks, combining genotyping and detailed phenotyping, has greatly accelerated research into the aetiology of glaucoma in recent years. Hypothesis-free genome-wide association studies have furthered our understanding of the complex genetic architecture underpinning the disease, while epidemiological studies have provided advances in the identification and characterisation of environmental risk factors. It is increasingly recognised that the combined effects of genetic and environmental factors may confer a disease risk that reflects a departure from the simple additive effect of the two. These gene-environment interactions have been implicated in a host of complex human diseases, including glaucoma, and have several important diagnostic and therapeutic implications for future clinical practice. Importantly, the ability to modify the risk associated with a particular genetic makeup promises to lead to personalised recommendations for glaucoma prevention, as well as novel treatment approaches in years to come. Here we provide an overview of genetic and environmental risk factors for glaucoma, as well as reviewing the evidence and discussing the implications of gene-environment interactions for the disease.
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Affiliation(s)
- Kelsey V Stuart
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jae H Kang
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
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Kastner A, Stuart KV, Montesano G, De Moraes CG, Kang JH, Wiggs JL, Pasquale LR, Hysi P, Chua SYL, Patel PJ, Foster PJ, Khaw PT, Khawaja AP. Calcium Channel Blocker Use and Associated Glaucoma and Related Traits Among UK Biobank Participants. JAMA Ophthalmol 2023; 141:956-964. [PMID: 37676684 PMCID: PMC10485742 DOI: 10.1001/jamaophthalmol.2023.3877] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 07/10/2023] [Indexed: 09/08/2023]
Abstract
Importance Calcium channel blocker (CCB) use has been associated with an increased risk of glaucoma in exploratory studies. Objective To examine the association of systemic CCB use with glaucoma and related traits among UK Biobank participants. Design, Setting, and Participants This population-based cross-sectional study included UK Biobank participants with complete data (2006-2010) for analysis of glaucoma status, intraocular pressure (IOP), and optical coherence tomography (OCT)-derived inner retinal layer thicknesses. Data analysis was conducted in January 2023. Exposure Calcium channel blocker use was assessed in a baseline touchscreen questionnaire and confirmed during an interview led by a trained nurse. Main Outcomes and Measures The primary outcome measures included glaucoma status, corneal-compensated IOP, and 2 OCT-derived inner retinal thickness parameters (macular retinal nerve fiber layer [mRNFL] and macular ganglion cell-inner plexiform layer [mGCIPL] thicknesses). We performed logistic regression and linear regression analyses to test for associations with glaucoma status and IOP and OCT-derived inner retinal thickness parameters, respectively. Results This study included 427 480 adults. Their median age was 58 (IQR, 50-63) years, and more than half (54.1%) were women. There were 33 175 CCB users (7.8%). Participants who had complete data for glaucoma status (n = 427 480), IOP (n = 97 100), and OCT-derived inner retinal layer thicknesses (n = 41 023) were eligible for respective analyses. After adjustment for key sociodemographic, medical, anthropometric, and lifestyle factors, use of CCBs (but not other antihypertensive agents) was associated with greater odds of glaucoma (odds ratio [OR], 1.39 [95% CI, 1.14 to 1.69]; P = .001). Calcium channel blocker use was also associated with thinner mGCIPL (-0.34 μm [95% CI, -0.54 to -0.15 μm]; P = .001) and mRNFL (-0.16 μm [95% CI, -0.30 to -0.02 μm]; P = .03) thicknesses but not IOP (-0.01 mm Hg [95% CI, -0.09 to 0.07 mm Hg]; P = .84). Conclusions and Relevance In this study, an adverse association between CCB use and glaucoma was observed, with CCB users having, on average, 39% higher odds of glaucoma. Calcium channel blocker use was also associated with thinner mGCIPL and mRNFL thicknesses, providing a structural basis that supports the association with glaucoma. The lack of association of CCB use with IOP suggests that an IOP-independent mechanism of glaucomatous neurodegeneration may be involved. Although a causal relationship has not been established, CCB replacement or withdrawal may be considered should glaucoma progress despite optimal care.
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Affiliation(s)
- Alan Kastner
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
- Clínica Oftalmológica Pasteur, Santiago, Chile
| | - Kelsey V. Stuart
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
| | - Giovanni Montesano
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
- Division of Optometry and Vision Science, City University of London, London, United Kingdom
| | - C. Gustavo De Moraes
- Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, New York, New York
| | - Jae H. Kang
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Janey L. Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Louis R. Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Pirro Hysi
- Department of Ophthalmology, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Sharon Y. L. Chua
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
| | - Praveen J. Patel
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
| | - Paul J. Foster
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
| | - Peng T. Khaw
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
| | - Anthony P. Khawaja
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, United Kingdom
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Madjedi KM, Stuart KV, Chua SYL, Ramulu PY, Warwick A, Luben RN, Sun Z, Chia MA, Aschard H, Wiggs JL, Kang JH, Pasquale LR, Foster PJ, Khawaja AP. The Association of Physical Activity with Glaucoma and Related Traits in the UK Biobank. Ophthalmology 2023; 130:1024-1036. [PMID: 37331483 PMCID: PMC10913205 DOI: 10.1016/j.ophtha.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/18/2023] [Accepted: 06/02/2023] [Indexed: 06/20/2023] Open
Abstract
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 in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Kian M Madjedi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom; Department of Ophthalmology, University of Calgary, Calgary, Alberta, Canada
| | - Kelsey V Stuart
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom
| | - Sharon Y L Chua
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom
| | - Pradeep Y Ramulu
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Robert N Luben
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Zihan Sun
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom
| | - Mark A Chia
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom
| | - Hugues Aschard
- Department of Computational Biology, Institute Pasteur, Paris, France
| | - Janey L Wiggs
- Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts
| | - Jae H Kang
- Brigham and Women's Hospital / Harvard Medical School, Boston, Massachusetts
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom; UCL Institute of Cardiovascular Science, London, United Kingdom.
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Tong J, Khou V, Trinh M, Alonso‐Caneiro D, Zangerl B, Kalloniatis M. Derivation of human retinal cell densities using high-density, spatially localized optical coherence tomography data from the human retina. J Comp Neurol 2023; 531:1108-1125. [PMID: 37073514 PMCID: PMC10953454 DOI: 10.1002/cne.25483] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 03/14/2023] [Accepted: 03/16/2023] [Indexed: 04/20/2023]
Abstract
This study sought to identify demographic variations in retinal thickness measurements from optical coherence tomography (OCT), to enable the calculation of cell density parameters across the neural layers of the healthy human macula. From macular OCTs (n = 247), ganglion cell (GCL), inner nuclear (INL), and inner segment-outer segment (ISOS) layer measurements were extracted using a customized high-density grid. Variations with age, sex, ethnicity, and refractive error were assessed with multiple linear regression analyses, with age-related distributions further assessed using hierarchical cluster analysis and regression models. Models were tested on a naïve healthy cohort (n = 40) with Mann-Whitney tests to determine generalizability. Quantitative cell density data were calculated from histological data from previous human studies. Eccentricity-dependent variations in OCT retinal thickness closely resemble topographic cell density maps from human histological studies. Age was consistently identified as significantly impacting retinal thickness (p = .0006, .0007, and .003 for GCL, INL and ISOS), with gender affecting ISOS only (p < .0001). Regression models demonstrated that age-related changes in the GCL and INL begin in the 30th decade and were linear for the ISOS. Model testing revealed significant differences in INL and ISOS thickness (p = .0008 and .0001; however, differences fell within the OCT's axial resolution. Qualitative comparisons show close alignment between OCT and histological cell densities when using unique, high-resolution OCT data, and correction for demographics-related variability. Overall, this study describes a process to calculate in vivo cell density from OCT for all neural layers of the human retina, providing a framework for basic science and clinical investigations.
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Affiliation(s)
- Janelle Tong
- Centre for Eye HealthUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
- School of Optometry and Vision ScienceUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
| | - Vincent Khou
- Centre for Eye HealthUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
- School of Optometry and Vision ScienceUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
| | - Matt Trinh
- Centre for Eye HealthUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
- School of Optometry and Vision ScienceUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
| | - David Alonso‐Caneiro
- School of Optometry and Vision ScienceCentre for Vision and Eye ResearchContact Lens and Visual Optics LaboratoryQueensland University of TechnologyQueenslandBrisbaneAustralia
- School of Science, Technology and EngineeringUniversity of Sunshine CoastQueenslandSippy DownsAustralia
| | - Barbara Zangerl
- School of Optometry and Vision ScienceUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
- Coronary Care UnitRoyal Prince Alfred HospitalNew South WalesSydneyAustralia
| | - Michael Kalloniatis
- Centre for Eye HealthUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
- School of Optometry and Vision ScienceUniversity of New South Wales (UNSW)New South WalesSydneyAustralia
- Department of OptometrySchool of MedicineDeakin UniversityVictoriaWaurn PondsAustralia
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Pasquale LR, Khawaja AP, Wiggs JL, Kim J, Hysi P, Elze T, Lasky-Su J, Kang JH, Zeleznik O. Metabolite and Lipid Biomarkers Associated With Intraocular Pressure and Inner Retinal Morphology: 1H NMR Spectroscopy Results From the UK Biobank. Invest Ophthalmol Vis Sci 2023; 64:11. [PMID: 37552033 PMCID: PMC10411643 DOI: 10.1167/iovs.64.11.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 07/17/2023] [Indexed: 08/09/2023] Open
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.
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Affiliation(s)
- Louis R. Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Anthony P. Khawaja
- NIHR Biomedical Research Centre at Moorfields Eye Hospital & UCL Institute of Ophthalmology, London, United Kingdom
| | - Janey L. Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
| | - Jihye Kim
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Pirro Hysi
- Department of Ophthalmology, King's College London, St. Thomas’ Hospital, London, United Kingdom
- Department of Twin Research & Genetic Epidemiology, King's College London, St. Thomas’ Hospital, London, United Kingdom
| | - Tobias Elze
- Department of Ophthalmology, Schepens Research Eye Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
| | - Jae H. Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
| | - Oana Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
| | - for the UK Biobank Eye and Vision Consortium
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- NIHR Biomedical Research Centre at Moorfields Eye Hospital & UCL Institute of Ophthalmology, London, United Kingdom
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
- Department of Ophthalmology, King's College London, St. Thomas’ Hospital, London, United Kingdom
- Department of Twin Research & Genetic Epidemiology, King's College London, St. Thomas’ Hospital, London, United Kingdom
- Department of Ophthalmology, Schepens Research Eye Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
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Stuart KV, Luben RN, Warwick AN, Madjedi KM, Patel PJ, Biradar MI, Sun Z, Chia MA, Pasquale LR, Wiggs JL, Kang JH, Kim J, Aschard H, Tran JH, Lentjes MAH, Foster PJ, Khawaja AP. The Association of Alcohol Consumption with Glaucoma and Related Traits: Findings from the UK Biobank. Ophthalmol Glaucoma 2023; 6:366-379. [PMID: 36481453 PMCID: PMC10239785 DOI: 10.1016/j.ogla.2022.11.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 05/12/2023]
Abstract
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.
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Affiliation(s)
- Kelsey V Stuart
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
| | - Robert N Luben
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Alasdair N Warwick
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Kian M Madjedi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; Department of Ophthalmology, University of Calgary, Calgary, Alberta, Canada
| | - Praveen J Patel
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Mahantesh I Biradar
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Zihan Sun
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Mark A Chia
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Jae H Kang
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jihye Kim
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Hugues Aschard
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, France
| | - Jessica H Tran
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
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van der Heide FCT, Mokhtar S, Khanna A, Said M, Henry RMA, Kroon AA, Dagnelie PC, Eussen SJPM, Berendschot TTJM, Schouten JSAG, Schram MT, van der Kallen CJH, van Greevenbroek MMJ, Wesselius A, Savelberg HHCM, Schaper NC, Webers CAB, Stehouwer CDA. Retinal Functional and Structural Neural Indices: Potential Biomarkers for the Monitoring of Cerebral Neurodegeneration: The Maastricht Study. J Alzheimers Dis 2023:JAD230104. [PMID: 37182886 DOI: 10.3233/jad-230104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND If retinal indices of neurodegeneration are to be biomarkers for the monitoring of cerebral neurodegeneration, it is important to establish whether potentially modifiable risk factors for dementia are associated with retinal neurodegenerative changes. OBJECTIVE To study associations of dementia risk factors with retinal sensitivity, an index of retinal neural function, and retinal nerve fiber layer (RNFL) thickness, an index of retinal neural structure. METHODS We used cross-sectional data from The Maastricht Study (up to 5,666 participants, 50.5% men, mean age 59.7), and investigated associations with regression analyses (adjusted for potential confounders). RESULTS Most risk factors under study (i.e., hyperglycemia, unhealthy diet, lower cardiorespiratory fitness, smoking, alcohol consumption, and hypertension) were significantly associated with lower retinal sensitivity and lower RNFL thickness. CONCLUSION Findings of this population-based study support the concept that retinal neural indices may be biomarkers for the monitoring of therapeutic strategies that aim to prevent early-stage cerebral neurodegeneration and, ultimately, dementia.
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Affiliation(s)
- Frank C T van der Heide
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Sara Mokhtar
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Anjani Khanna
- Department of Ophthalmology, Sharpsight eye hospital, New Delhi, India
| | - Mozhda Said
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Ronald M A Henry
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- Heart and Vascular Centre, MUMC+ Maastricht, The Netherlands
| | - Abraham A Kroon
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Pieter C Dagnelie
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Simone J P M Eussen
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Epidemiology, UM, The Netherlands
- CAPHRI Care and Public Health Research Institute, UM, The Netherlands
| | - Tos T J M Berendschot
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Jan S A G Schouten
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
- Department of Ophthalmology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Miranda T Schram
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- Heart and Vascular Centre, MUMC+ Maastricht, The Netherlands
| | - Carla J H van der Kallen
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Marleen M J van Greevenbroek
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Anke Wesselius
- Department of Genetics and Cell Biology, Complex Genetics, UM, The Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, UM, The Netherlands
| | - Hans H C M Savelberg
- NUTRIM School for Nutrition and Translational Research in Metabolism, UM, The Netherlands
- Department of Nutrition and Movement Sciences, UM, The Netherlands
| | - Nicolaas C Schaper
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Social Medicine, MUMC+, The Netherlands
- Department of Internal Medicine, Division of Endocrinology and Metabolic Disease, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Carroll A B Webers
- MHeNS School of Mental Health and Neuroscience, Maastricht University (UM), The Netherlands
- University Eye Clinic Maastricht, MUMC+, TheNetherlands
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
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Rinaldi E, van der Heide FC, Bonora E, Trombetta M, Zusi C, Kroon AA, Schram MT, van der Kallen CJ, Wesselius A, Bonadonna R, Mari A, Schalkwijk CG, van Greevenbroek MM, Stehouwer CDA. Lower heart rate variability, an index of worse autonomic function, is associated with worse beta cell response to a glycemic load in vivo-The Maastricht Study. Cardiovasc Diabetol 2023; 22:105. [PMID: 37143089 PMCID: PMC10161476 DOI: 10.1186/s12933-023-01837-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 04/19/2023] [Indexed: 05/06/2023] Open
Abstract
OBJECTIVE We investigated, using population-based data, whether worse autonomic function, estimated from lower 24-hour heart rate variability (HRV), was associated with beta cell function, assessed from beta cell response during an oral glucose tolerance test (OGTT). RESEARCH DESIGN AND METHODS We used cross-sectional data from The Maastricht Study, a population-based cohort study (N = 2,007; age, mean ± SD:60 ± 8 years; 52% men; and 24% with type 2 diabetes). We used linear regression analyses with adjustment for potential confounders (demographic, cardiovascular, and lifestyle factors) to study the associations of time- and frequency-domain HRV (composite scores) with overall beta cell response (estimated from a composite score calculated from: C-peptidogenic index, overall insulin secretion, beta cell glucose sensitivity, beta cell potentiation factor, and beta cell rate sensitivity). In addition, we tested for interaction by sex and glucose metabolism status. RESULTS After full adjustment, lower time- and frequency-domain HRV was significantly associated with lower overall beta cell response composite score (standardized beta, -0.055 [-0.098; -0.011] and - 0.051 [-0.095; -0.007], respectively). These associations were not modified by sex and there was no consistent pattern of interaction by glucose metabolism status. CONCLUSION The present etiological study found that worse autonomic function, estimated from lower HRV, was associated with worse beta cell function, estimated from a composite score in a population-based sample which covered the entire spectrum of glucose metabolism. Hence, autonomic dysfunction may contribute to beta cell dysfunction and, ultimately, to the alteration of glucose metabolism status from normal glucose metabolism to prediabetes and type 2 diabetes.
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Affiliation(s)
- Elisabetta Rinaldi
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, University of Verona, Policlinico GB Rossi, Piazzale L.A. Scuro 10, Verona, 37134, Italy.
| | - Frank Ct van der Heide
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
| | - Enzo Bonora
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, University of Verona, Policlinico GB Rossi, Piazzale L.A. Scuro 10, Verona, 37134, Italy
| | - Maddalena Trombetta
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, University of Verona, Policlinico GB Rossi, Piazzale L.A. Scuro 10, Verona, 37134, Italy
| | - Chiara Zusi
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, University of Verona, Policlinico GB Rossi, Piazzale L.A. Scuro 10, Verona, 37134, Italy
| | - Abraham A Kroon
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
| | - Miranda T Schram
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
- Heart and Vascular Centre, MUMC+, Maastricht, the Netherlands
| | - Carla Jh van der Kallen
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
| | - Anke Wesselius
- Department of Epidemiology, UM, Maastricht, the Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, UM, Maastricht, the Netherlands
| | - Riccardo Bonadonna
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Division of Endocrinology and Metabolic Diseases, Azienda Ospedaliera-Universitaria di Parma, Parma, Italy
| | - Andrea Mari
- Institute of Neuroscience, National Research Council, Padua, Italy
| | - Casper G Schalkwijk
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
| | - Marleen Mj van Greevenbroek
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
| | - Coen DA Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, the Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands
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Wagner SK, Cortina-Borja M, Silverstein SM, Zhou Y, Romero-Bascones D, Struyven RR, Trucco E, Mookiah MRK, MacGillivray T, Hogg S, Liu T, Williamson DJ, Pontikos N, Patel PJ, Balaskas K, Alexander DC, Stuart KV, Khawaja AP, Denniston AK, Rahi JS, Petzold A, Keane PA. Association Between Retinal Features From Multimodal Imaging and Schizophrenia. JAMA Psychiatry 2023; 80:478-487. [PMID: 36947045 PMCID: PMC10034669 DOI: 10.1001/jamapsychiatry.2023.0171] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/23/2023] [Indexed: 03/23/2023]
Abstract
Importance The potential association of schizophrenia with distinct retinal changes is of clinical interest but has been challenging to investigate because of a lack of sufficiently large and detailed cohorts. Objective To investigate the association between retinal biomarkers from multimodal imaging (oculomics) and schizophrenia in a large real-world population. Design, Setting, and Participants This cross-sectional analysis used data from a retrospective cohort of 154 830 patients 40 years and older from the AlzEye study, which linked ophthalmic data with hospital admission data across England. Patients attended Moorfields Eye Hospital, a secondary care ophthalmic hospital with a principal central site, 4 district hubs, and 5 satellite clinics in and around London, United Kingdom, and had retinal imaging during the study period (January 2008 and April 2018). Data were analyzed from January 2022 to July 2022. Main Outcomes and Measures Retinovascular and optic nerve indices were computed from color fundus photography. Macular retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (mGC-IPL) thicknesses were extracted from optical coherence tomography. Linear mixed-effects models were used to examine the association between schizophrenia and retinal biomarkers. Results A total of 485 individuals (747 eyes) with schizophrenia (mean [SD] age, 64.9 years [12.2]; 258 [53.2%] female) and 100 931 individuals (165 400 eyes) without schizophrenia (mean age, 65.9 years [13.7]; 53 253 [52.8%] female) were included after images underwent quality control and potentially confounding conditions were excluded. Individuals with schizophrenia were more likely to have hypertension (407 [83.9%] vs 49 971 [48.0%]) and diabetes (364 [75.1%] vs 28 762 [27.6%]). The schizophrenia group had thinner mGC-IPL (-4.05 μm, 95% CI, -5.40 to -2.69; P = 5.4 × 10-9), which persisted when investigating only patients without diabetes (-3.99 μm; 95% CI, -6.67 to -1.30; P = .004) or just those 55 years and younger (-2.90 μm; 95% CI, -5.55 to -0.24; P = .03). On adjusted analysis, retinal fractal dimension among vascular variables was reduced in individuals with schizophrenia (-0.14 units; 95% CI, -0.22 to -0.05; P = .001), although this was not present when excluding patients with diabetes. Conclusions and Relevance In this study, patients with schizophrenia had measurable differences in neural and vascular integrity of the retina. Differences in retinal vasculature were mostly secondary to the higher prevalence of diabetes and hypertension in patients with schizophrenia. The role of retinal features as adjunct outcomes in patients with schizophrenia warrants further investigation.
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Affiliation(s)
- Siegfried K. Wagner
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Mario Cortina-Borja
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Steven M. Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, New York
- Department of Neuroscience, University of Rochester Medical Center, Rochester, New York
- Center for Visual Science, University of Rochester, Rochester, New York
| | - Yukun Zhou
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - David Romero-Bascones
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Robbert R. Struyven
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Emanuele Trucco
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Muthu R. K. Mookiah
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Tom MacGillivray
- VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Hogg
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Timing Liu
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Dominic J. Williamson
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Nikolas Pontikos
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Praveen J. Patel
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Konstantinos Balaskas
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Daniel C. Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Kelsey V. Stuart
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Anthony P. Khawaja
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Alastair K. Denniston
- University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
| | - Jugnoo S. Rahi
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom
- Ulverscroft Vision Research Group, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
| | - Axel Petzold
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Pearse A. Keane
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
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Exploring healthy retinal aging with deep learning. OPHTHALMOLOGY SCIENCE 2023; 3:100294. [PMID: 37113474 PMCID: PMC10127123 DOI: 10.1016/j.xops.2023.100294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 01/24/2023] [Accepted: 02/17/2023] [Indexed: 03/04/2023]
Abstract
Purpose To study the individual course of retinal changes caused by healthy aging using deep learning. Design Retrospective analysis of a large data set of retinal OCT images. Participants A total of 85 709 adults between the age of 40 and 75 years of whom OCT images were acquired in the scope of the UK Biobank population study. Methods We created a counterfactual generative adversarial network (GAN), a type of neural network that learns from cross-sectional, retrospective data. It then synthesizes high-resolution counterfactual OCT images and longitudinal time series. These counterfactuals allow visualization and analysis of hypothetical scenarios in which certain characteristics of the imaged subject, such as age or sex, are altered, whereas other attributes, crucially the subject's identity and image acquisition settings, remain fixed. Main Outcome Measures Using our counterfactual GAN, we investigated subject-specific changes in the retinal layer structure as a function of age and sex. In particular, we measured changes in the retinal nerve fiber layer (RNFL), combined ganglion cell layer plus inner plexiform layer (GCIPL), inner nuclear layer to the inner boundary of the retinal pigment epithelium (INL-RPE), and retinal pigment epithelium (RPE). Results Our counterfactual GAN is able to smoothly visualize the individual course of retinal aging. Across all counterfactual images, the RNFL, GCIPL, INL-RPE, and RPE changed by -0.1 μm ± 0.1 μm, -0.5 μm ± 0.2 μm, -0.2 μm ± 0.1 μm, and 0.1 μm ± 0.1 μm, respectively, per decade of age. These results agree well with previous studies based on the same cohort from the UK Biobank population study. Beyond population-wide average measures, our counterfactual GAN allows us to explore whether the retinal layers of a given eye will increase in thickness, decrease in thickness, or stagnate as a subject ages. Conclusion This study demonstrates how counterfactual GANs can aid research into retinal aging by generating high-resolution, high-fidelity OCT images, and longitudinal time series. Ultimately, we envision that they will enable clinical experts to derive and explore hypotheses for potential imaging biomarkers for healthy and pathologic aging that can be refined and tested in prospective clinical trials. Financial Disclosures Proprietary or commercial disclosure may be found after the references.
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Currant H, Fitzgerald TW, Patel PJ, Khawaja AP, Webster AR, Mahroo OA, Birney E. Sub-cellular level resolution of common genetic variation in the photoreceptor layer identifies continuum between rare disease and common variation. PLoS Genet 2023; 19:e1010587. [PMID: 36848389 PMCID: PMC9997913 DOI: 10.1371/journal.pgen.1010587] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 03/09/2023] [Accepted: 12/20/2022] [Indexed: 03/01/2023] Open
Abstract
Photoreceptor cells (PRCs) are the light-detecting cells of the retina. Such cells can be non-invasively imaged using optical coherence tomography (OCT) which is used in clinical settings to diagnose and monitor ocular diseases. Here we present the largest genome-wide association study of PRC morphology to date utilising quantitative phenotypes extracted from OCT images within the UK Biobank. We discovered 111 loci associated with the thickness of one or more of the PRC layers, many of which had prior associations to ocular phenotypes and pathologies, and 27 with no prior associations. We further identified 10 genes associated with PRC thickness through gene burden testing using exome data. In both cases there was a significant enrichment for genes involved in rare eye pathologies, in particular retinitis pigmentosa. There was evidence for an interaction effect between common genetic variants, VSX2 involved in eye development and PRPH2 known to be involved in retinal dystrophies. We further identified a number of genetic variants with a differential effect across the macular spatial field. Our results suggest a continuum between common and rare variation which impacts retinal structure, sometimes leading to disease.
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Affiliation(s)
- Hannah Currant
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tomas W. Fitzgerald
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
| | - Praveen J. Patel
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P. Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | | | - Andrew R. Webster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Omar A. Mahroo
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Section of Ophthalmology, King’s College London, St Thomas’ Hospital Campus, London, United Kingdom
- Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
| | - Ewan Birney
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
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Hanyuda A, Rosner BA, Wiggs JL, Negishi K, Pasquale LR, Kang JH. Long-term Alcohol Consumption and Risk of Exfoliation Glaucoma or Glaucoma Suspect Status among United States Health Professionals. Ophthalmology 2023; 130:187-197. [PMID: 36041586 DOI: 10.1016/j.ophtha.2022.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 08/19/2022] [Accepted: 08/22/2022] [Indexed: 01/25/2023] Open
Abstract
PURPOSE To assess the association between intakes of total alcohol and individual alcoholic beverages and the incidence of exfoliation glaucoma/glaucoma suspect (XFG/XFGS) status. DESIGN Prospective cohort study. PARTICIPANTS A total of 195 408 participants in the Nurses' Health Study (1980-2018), the Health Professionals Follow-up Study (1986-2018), and the Nurses' Health Study II (1991-2019) were followed biennially. Eligible participants at each 2-year risk period were ≧ 40 years and free of XFG/XFGS status with available data on diet and ophthalmic examination findings. METHODS Cumulatively averaged total (primary exposure) and individual alcoholic beverage (beer, wine, and liquor) intakes from validated dietary information every 2-4 years. MAIN OUTCOME MEASURES Confirmed incident XFG/XFGS status using medical records. We used per-eye Cox proportional hazards models, accounting for intereye correlations, to estimate multivariate-adjusted relative risks (MVRRs) and 95% confidence intervals (CIs). RESULTS During 6 877 823 eye-years of follow-up, 705 eyes with XFG/XFGS status were documented. Greater total alcohol consumption was associated significantly with higher XFG/XFGS status risk: the MVRR for XFG/XFGS status for cumulatively averaged alcohol consumption of ≧15 g/day or more versus nondrinking was 1.55 (95% CI, 1.17-2.07; P = 0.02 for trend). Long- and short-term alcohol intake was associated significantly with XFG/XFGS status risk, with the strongest associations with cumulatively averaged alcohol intake as of 4 years before diagnosis (MVRR ≥ 15 g/day vs. nondrinking, 1.65; 95% CI, 1.25-2.18; P = 0.002 for trend). Compared with nondrinkers, consuming ≧ 3.6 drinks of beer, wine, or liquor per week was associated with the following MVRRs for XFG/XFGS status: 1.26 (95% CI, 0.89-1.77; P = 0.40 for trend), 1.30 (95% CI, 1.00-1.68; P = 0.15 for trend), and 1.46 (95% CI, 1.15-1.85; P = 0.01 for trend), respectively. We did not observe interactions by age, latitude, residential tier, or intakes of folate or vitamin A (P > 0.40 for interaction); however, the association between alcohol and XFG/XFGS status was suggestively stronger for those without a family history of glaucoma (P = 0.10 for interaction). CONCLUSIONS Long-term alcohol consumption was associated with a higher risk of XFG/XFGS status. Our findings provide further clues regarding the XFG/XFGS etiology.
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Affiliation(s)
- Akiko Hanyuda
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
| | - Bernard A Rosner
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Janey L Wiggs
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts
| | - Kazuno Negishi
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jae H Kang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Chen Y, Yuan Y, Zhang S, Yang S, Zhang J, Guo X, Huang W, Zhu Z, He M, Wang W. Retinal nerve fiber layer thinning as a novel fingerprint for cardiovascular events: results from the prospective cohorts in UK and China. BMC Med 2023; 21:24. [PMID: 36653845 PMCID: PMC9850527 DOI: 10.1186/s12916-023-02728-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/05/2023] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Retinal structural abnormalities have been found to serve as biomarkers for cardiovascular disease (CVD). However, the association between retinal nerve fiber layer (RNFL) thickness and the incidence of CVD events remains inconclusive, and relevant longitudinal studies are lacking. Therefore, we aimed to examine this link in two prospective cohort studies. METHODS A total of 25,563 participants from UK Biobank who were initially free of CVD were included in the current study. Another 635 participants without retinopathy at baseline from the Chinese Guangzhou Diabetes Eye Study (GDES) were adopted as the validation set. Measurements of RNFL thickness in the macular (UK Biobank) and peripapillary (GDES) regions were obtained from optical coherence tomography (OCT). Adjusted hazard ratios (HRs), odd ratios (ORs), and 95% confidence intervals (CI) were calculated to quantify CVD risk. RESULTS Over a median follow-up period of 7.67 years, 1281 (5.01%) participants in UK Biobank developed CVD events. Each 5-μm decrease in macular RNFL thickness was associated with an 8% increase in incident CVD risk (HR = 1.08, 95% CI: 1.01-1.17, p = 0.033). Compared with participants in the highest tertile of RNFL thickness, the risk of incident CVD was significantly increased in participants in the lowest thickness tertile (HR = 1.18, 95% CI: 1.01-1.38, p = 0.036). In GDES, 29 (4.57%) patients developed CVD events within 3 years. Lower average peripapillary RNFL thickness was also associated with a higher CVD risk (OR = 1.35, 95% CI: 1.11-1.65, p = 0.003). The additive net reclassification improvement (NRI) was 21.8%, and the absolute NRI was 2.0% by addition of RNFL thickness over the Framingham risk score. Of 29 patients with incident CVD, 7 were correctly reclassified to a higher risk category while 1 was reclassified to a lower category, and 21 high risk patients were not reclassified. CONCLUSIONS RNFL thinning was independently associated with increased incident cardiovascular risk and improved reclassification capability, indicating RNFL thickness derived from the non-invasive OCT as a potential retinal fingerprint for CVD event across ethnicities and health conditions. TRIAL REGISTRATION ISRCTN 15853192.
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Affiliation(s)
- Yanping Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Yixiong Yuan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shiran Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shaopeng Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Junyao Zhang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne. Level 7, 32 Gisborne Street, East Melbourne, VIC, 3002, Australia
| | - Xiao Guo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne. Level 7, 32 Gisborne Street, East Melbourne, VIC, 3002, Australia.
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne. Level 7, 32 Gisborne Street, East Melbourne, VIC, 3002, Australia.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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Xia M, Zhang E, Yao F, Xia Z, Zhou M, Ran X, Xia X. Regional differences of the sclera in the ocular hypertensive rat model induced by circumlimbal suture. EYE AND VISION (LONDON, ENGLAND) 2023; 10:2. [PMID: 36597143 PMCID: PMC9811703 DOI: 10.1186/s40662-022-00319-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/15/2022] [Indexed: 01/05/2023]
Abstract
PURPOSE To describe the regional differences of the sclera in ocular hypertension (OHT) models with the inappropriate extension of the ocular axis. METHODS To discover the regional differences of the sclera at the early stage, OHT models were established using circumlimbal suture (CS) or sclerosant injection (SI). Axial length (AL) was measured by ultrasound and magnetic resonance imaging. The glaucoma-associated distinction was determined by intraocular pressure (IOP) and retrograde tracing of retinal ganglion cells (RGCs). The central thickness of the ganglion cell complex (GCC) was measured by optical coherence tomography. RGCs and collagen fibrils were detected using a transmission electron microscope, furthermore, anti-alpha smooth muscle actin (αSMA) was determined in the early stage after the operation. RESULTS Compared with the control group, the eyes in OHT models showed an increased IOP (P < 0.001 in the CS group, P = 0.001 in the SI group), growing AL (P = 0.026 in the CS group, P = 0.043 in the SI group), reduction of central RGCs (P < 0.001 in the CS group, P = 0.017 in the SI group), thinning central GCC (P < 0.001 in the CS group), and a distinctive expression of αSMA in the central sclera in the early 4-week stage after the operation (P = 0.002 in the CS group). Compared with the SI group, the eye in the CS group showed a significantly increased AL (7.1 ± 0.4 mm, P = 0.031), reduction of central RGCs (2121.1 ± 87.2 cells/mm2, P = 0.001), thinning central GCC (71.4 ± 0.8 pixels, P = 0.015), and a distinctive expression of αSMA (P = 0.005). Additionally, ultrastructural changes in RGCs, scleral collagen fibers, and collagen crimp were observed in the different regions. Increased collagen volume fraction in the posterior segment of the eyeball wall (30.2 ± 3.1%, P = 0.022) was observed by MASSON staining in the CS group. CONCLUSION Regional differences of the sclera in the ocular hypertensive rat model induced by CS may provide a reference for further treatment of scleral-related eye disorders.
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Affiliation(s)
- Mingfang Xia
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.469519.60000 0004 1758 070XDepartment of Ophthalmology, People’s Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750004 Ningxia China
| | - Endong Zhang
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Fei Yao
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Zhaohua Xia
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Mingmin Zhou
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Xufang Ran
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Xiaobo Xia
- grid.216417.70000 0001 0379 7164Eye Center of Xiangya Hospital, Central South University, Changsha, 410008 Hunan China ,grid.452223.00000 0004 1757 7615Hunan Key Laboratory of Ophthalmology, Changsha, 410008 Hunan China ,grid.216417.70000 0001 0379 7164National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
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Yang Z, Liu Q, Wen D, Yu Z, Zheng C, Gao F, Chen C, Hu L, Shi Y, Zhu X, Liu J, Shao Y, Li X. Risk of diabetic retinopathy and retinal neurodegeneration in individuals with type 2 diabetes: Beichen Eye Study. Front Endocrinol (Lausanne) 2023; 14:1098638. [PMID: 37206443 PMCID: PMC10191177 DOI: 10.3389/fendo.2023.1098638] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/28/2023] [Indexed: 05/21/2023] Open
Abstract
Objective Our aim was to evaluate associations of different risk factors with odds of diabetic retinopathy (DR) diagnosis and retinal neurodegeneration represented by macular ganglion cell-inner plexiform layer (mGCIPL). Methods This cross-sectional study analyzed data from individuals aged over 50 years examined between June 2020 and February 2022 in the community-based Beichen Eye Study on ocular diseases. Baseline characteristics included demographic data, cardiometabolic risk factors, laboratory findings, and medications at enrollment. Retinal thickness in both eyes of all participants was measured automatically via optical coherence tomography. Risk factors associated with DR status were investigated using multivariable logistic regression. Multivariable linear regression analysis was performed to explore associations of potential risk factors with mGCIPL thickness. Results Among the 5037 included participants with a mean (standard deviation, SD) age of 62.6 (6.7) years (3258 women [64.6%]), 4018 (79.8%) were control individuals, 835 (16.6%) were diabetic individuals with no DR, and 184 (3.7%) were diabetic individuals with DR. The risk factors significantly associated with DR status were family history of diabetes (odds ratio [OR], 4.09 [95% CI, 2.44-6.85]), fasting plasma glucose (OR, 5.88 [95% CI, 4.66-7.43]), and statins (OR, 2.13 [95% CI, 1.03-4.43]) relative to the control individuals. Compared with the no DR, diabetes duration (OR, 1.17 [95% CI, 1.13-1.22]), hypertension (OR, 1.60 [95% CI, 1.26-2.45]), and glycated hemoglobin A1C (HbA1c) (OR, 1.27 [95% CI, 1.00-1.59]) were significantly correlated with DR status. Furthermore, age (adjusted β = -0.19 [95% CI, -0.25 to -0.13] μm; P < 0.001), cardiovascular events (adjusted β = -0.95 [95% CI, -1.78 to -0.12] μm; P = 0.03), and axial length (adjusted β = -0.82 [95% CI, -1.29 to -0.35] μm; P = 0.001) were associated with mGCIPL thinning in diabetic individuals with no DR. Conclusion Multiple risk factors were associated with higher odds of DR development and lower mGCIPL thickness in our study. Risk factors affecting DR status varied among the different study populations. Age, cardiovascular events, and axial length were identified as potential risk factors for consideration in relation to retinal neurodegeneration in diabetic patients.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Juping Liu
- *Correspondence: Xiaorong Li, ; Yan Shao, ; Juping Liu,
| | - Yan Shao
- *Correspondence: Xiaorong Li, ; Yan Shao, ; Juping Liu,
| | - Xiaorong Li
- *Correspondence: Xiaorong Li, ; Yan Shao, ; Juping Liu,
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39
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Romero-Bascones D, Ayala U, Alberdi A, Erramuzpe A, Galdós M, Gómez-Esteban JC, Murueta-Goyena A, Teijeira S, Gabilondo I, Barrenechea M. Spatial characterization of the effect of age and sex on macular layer thicknesses and foveal pit morphology. PLoS One 2022; 17:e0278925. [PMID: 36520804 PMCID: PMC9754220 DOI: 10.1371/journal.pone.0278925] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022] Open
Abstract
Characterizing the effect of age and sex on macular retinal layer thicknesses and foveal pit morphology is crucial to differentiating between natural and disease-related changes. We applied advanced image analysis techniques to optical coherence tomography (OCT) to: 1) enhance the spatial description of age and sex effects, and 2) create a detailed open database of normative retinal layer thickness maps and foveal pit shapes. The maculae of 444 healthy subjects (age range 21-88) were imaged with OCT. Using computational spatial data analysis, thickness maps were obtained for retinal layers and averaged into 400 (20 x 20) sectors. Additionally, the geometry of the foveal pit was radially analyzed by computing the central foveal thickness, rim height, rim radius, and mean slope. The effect of age and sex on these parameters was analyzed with multiple regression mixed-effects models. We observed that the overall age-related decrease of the total retinal thickness (TRT) (-1.1% per 10 years) was mainly driven by the ganglion cell-inner plexiform layer (GCIPL) (-2.4% per 10 years). Both TRT and GCIPL thinning patterns were homogeneous across the macula when using percentual measurements. Although the male retina was 4.1 μm thicker on average, the greatest differences were mainly present for the inner retinal layers in the inner macular ring (up to 4% higher TRT than in the central macula). There was an age-related decrease in the rim height (1.0% per 10 years) and males had a higher rim height, shorter rim radius, and steeper mean slope. Importantly, the radial analysis revealed that these changes are present and relatively uniform across angular directions. These findings demonstrate the capacity of advanced analysis of OCT images to enhance the description of the macula. This, together with the created dataset, could aid the development of more accurate diagnosis models for macular pathologies.
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Affiliation(s)
- David Romero-Bascones
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Unai Ayala
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Ane Alberdi
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Asier Erramuzpe
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Marta Galdós
- Ophthalmology Department, Cruces University Hospital, Barakaldo, Spain
| | - Juan Carlos Gómez-Esteban
- Neurodegenerative Disease Research Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Ane Murueta-Goyena
- Neurodegenerative Disease Research Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- Department of Neurosciences, Faculty of Medicine and Nursery, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Sara Teijeira
- Neurodegenerative Disease Research Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Iñigo Gabilondo
- Neurodegenerative Disease Research Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- Ikerbasque, The Basque Foundation for Science, Bilbao, Spain
| | - Maitane Barrenechea
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
- * E-mail:
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40
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van der Heide FCT, Foreman YD, Franken IWM, Henry RMA, Kroon AA, Dagnelie PC, Eussen SJPM, Berendschot TTJM, Schouten JSAG, Webers CAB, Schram MT, van der Kallen CJH, van Greevenbroek MMJ, Wesselius A, Schalkwijk CG, Schaper NC, Brouwers MCGJ, Stehouwer CDA. (Pre)diabetes, glycemia, and daily glucose variability are associated with retinal nerve fiber layer thickness in The Maastricht Study. Sci Rep 2022; 12:17750. [PMID: 36273238 PMCID: PMC9587985 DOI: 10.1038/s41598-022-22748-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/19/2022] [Indexed: 01/13/2023] Open
Abstract
Retinopathy and neuropathy in type 2 diabetes are preceded by retinal nerve fibre layer (RNFL) thinning, an index of neurodegeneration. We investigated whether glucose metabolism status (GMS), measures of glycaemia, and daily glucose variability (GV) are associated with RNFL thickness over the entire range of glucose tolerance. We used cross-sectional data from The Maastricht Study (up to 5455 participants, 48.9% men, mean age 59.5 years and 22.7% with type 2 diabetes) to investigate the associations of GMS, measures of glycaemia (fasting plasma glucose [FPG], 2-h post-load glucose [2-h PG], HbA1c, advanced glycation endproducts [AGEs] assessed as skin autofluorescence [SAF]) and indices of daily GV (incremental glucose peak [IGP] and continuous glucose monitoring [CGM]-assessed standard deviation [SD]) with mean RNFL thickness. We used linear regression analyses and, for GMS, P for trend analyses. We adjusted associations for demographic, cardiovascular risk and lifestyle factors, and, only for measures of GV, for indices of mean glycaemia. After full adjustment, type 2 diabetes and prediabetes (versus normal glucose metabolism) were associated with lower RNFL thickness (standardized beta [95% CI], respectively - 0.16 [- 0.25; - 0.08]; - 0.05 [- 0.13; 0.03]; Ptrend = 0.001). Greater FPG, 2-h PG, HbA1c, SAF, IGP, but not CGM-assessed SD, were also associated with lower RNFL thickness (per SD, respectively - 0.05 [- 0.08; - 0.01]; - 0.06 [- 0.09; - 0.02]; - 0.05 [- 0.08; - 0.02]; - 0.04 [- 0.07; - 0.01]; - 0.06 [- 0.12; - 0.01]; and - 0.07 [- 0.21; 0.07]). In this population-based study, a more adverse GMS and, over the entire range of glucose tolerance, greater glycaemia and daily GV were associated with lower RNFL thickness. Hence, early identification of individuals with hyperglycaemia, early glucose-lowering treatment, and early monitoring of daily GV may contribute to the prevention of RNFL thinning, an index of neurodegeneration and precursor of retinopathy and neuropathy.
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Affiliation(s)
- Frank C. T. van der Heide
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Yuri D. Foreman
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Iris W. M. Franken
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Ronald M. A. Henry
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Heart and Vascular Center, MUMC+ Maastricht, Maastricht, The Netherlands
| | - Abraham A. Kroon
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Heart and Vascular Center, MUMC+ Maastricht, Maastricht, The Netherlands
| | - Pieter C. Dagnelie
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Simone J. P. M. Eussen
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.5012.60000 0001 0481 6099Department of Epidemiology, UM, Maastricht, The Netherlands
| | - Tos T. J. M. Berendschot
- grid.412966.e0000 0004 0480 1382University Eye Clinic Maastricht, MUMC+, Maastricht, The Netherlands
| | - Jan S. A. G. Schouten
- grid.412966.e0000 0004 0480 1382University Eye Clinic Maastricht, MUMC+, Maastricht, The Netherlands ,grid.413327.00000 0004 0444 9008Department of Ophthalmology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Carroll A. B. Webers
- grid.412966.e0000 0004 0480 1382University Eye Clinic Maastricht, MUMC+, Maastricht, The Netherlands
| | - Miranda T. Schram
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Heart and Vascular Center, MUMC+ Maastricht, Maastricht, The Netherlands
| | - Carla J. H. van der Kallen
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Marleen M. J. van Greevenbroek
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Anke Wesselius
- grid.5012.60000 0001 0481 6099Department of Complex Genetics and Epidemiology, NUTRIM School for Nutrition and Translational Research in Metabolism, UM, Maastricht, The Netherlands
| | - Casper G. Schalkwijk
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
| | - Nicolaas C. Schaper
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.5012.60000 0001 0481 6099CAPHRI Care and Public Health Research Institute, UM, Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Division of Endocrinology and Metabolic Disease, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Martijn C. G. J. Brouwers
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Division of Endocrinology and Metabolic Disease, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Coen D. A. Stehouwer
- grid.5012.60000 0001 0481 6099CARIM School for Cardiovascular Diseases, Maastricht University (UM), Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), P. Debyelaan 25, P.O. Box 5800, 6202AZ Maastricht, The Netherlands
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Su B, Zhu X, Yang K, Xiao Y, Li C, Shi K, Qu J, Lu F, Li M, Cui L. Age- and sex-related differences in the retinal capillary plexus in healthy Chinese adults. EYE AND VISION 2022; 9:38. [PMID: 36180939 PMCID: PMC9526290 DOI: 10.1186/s40662-022-00307-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 08/24/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND To assess age- and sex-related changes in the superficial retinal capillary plexus (SCP) and deep retinal capillary plexus (DCP) in healthy Chinese adults. METHODS In this cross-sectional study, all data were derived from the community-based Jidong Eye Cohort Study. Participants underwent optical coherence tomography angiography (OCTA) and other ocular and systemic examinations. The vessel densities of the whole measured area, parafovea, and four quadrants in the SCP and DCP were measured. RESULTS We recruited 1036 eyes of 1036 healthy participants; the mean age was 40.4 ± 9.8 years, and 449 (43.3%) participants were males. The SCP and DCP vessel densities in all regions, except for temporal and nasal regions in the SCP, non-linearly decreased with age. The DCP vessel densities began to decrease at approximately 35 years of age, while the SCP vessel densities began to decrease at approximately 40 years of age. The DCP vessel densities decreased more rapidly than the SCP vessel densities at 35-50 years of age. The DCP vessel densities remained stable or slightly decreased after the age of 50 years in females, while those decreased linearly in most regions in males. CONCLUSIONS The retinal vessel density decreased earlier and more rapidly in the DCP than in the SCP, and the effect of aging on the DCP vessel density was sex-dependent. Our findings suggest that age and sex should be considered when interpreting clinical quantitative OCTA data.
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Affiliation(s)
- Binbin Su
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Xiaoxuan Zhu
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Kai Yang
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Yunfan Xiao
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Chunmei Li
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Keai Shi
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Jia Qu
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Fan Lu
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Ming Li
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
| | - Lele Cui
- grid.414701.7Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang 325003 People’s Republic of China
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Banghart M, Lee K, Bahrainian M, Staggers K, Amos C, Liu Y, Domalpally A, Frankfort BJ, Sohn EH, Abramoff M, Channa R. Total retinal thickness: a neglected factor in the evaluation of inner retinal thickness. BMJ Open Ophthalmol 2022; 7:e001061. [PMID: 36329022 PMCID: PMC9528673 DOI: 10.1136/bmjophth-2022-001061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/17/2022] [Indexed: 11/03/2022] Open
Abstract
AIM To determine whether macular retinal nerve fibre layer (mRNFL) and ganglion cell-inner plexiform layer (GC-IPL) thicknesses vary by ethnicity after accounting for total retinal thickness. METHODS We included healthy participants from the UK Biobank cohort who underwent macula-centred spectral domain-optical coherence tomography scans. mRNFL and GC-IPL thicknesses were determined for groups from different self-reported ethnic backgrounds. Multivariable regression models adjusting for covariables including age, gender, ethnicity and refractive error were built, with and without adjusting for total retinal thickness. RESULTS 20237 participants were analysed. Prior to accounting for total retinal thickness, mRNFL thickness was on average 0.9 μm (-1.2, -0.6; p<0.001) lower among Asians and 1.5 μm (-2.3, -0.6; p<0.001) lower among black participants compared with white participants. Prior to accounting for total retinal thickness, the average GC-IPL thickness was 1.9 μm (-2.5, -1.4; p<0.001) lower among Asians compared with white participants, and 2.4 μm (-3.9, -1.0; p=0.001) lower among black participants compared with white participants. After accounting for total retinal thickness, the layer thicknesses were not significantly different among ethnic groups. When considered as a proportion of total retinal thickness, mRNFL thickness was ~0.1 and GC-IPL thickness was ~0.2 across age, gender and ethnic groups. CONCLUSIONS The previously reported ethnic differences in layer thickness among groups are likely driven by differences in total retinal thickness. Our results suggest using layer thickness ratio (retinal layer thicknesses/total retinal thickness) rather than absolute thickness values when comparing retinal layer thicknesses across groups.
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Affiliation(s)
- Mark Banghart
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, USA
| | - Kyungmoo Lee
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA
| | - Mozhdeh Bahrainian
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, USA
| | - Kristen Staggers
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Christopher Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Yao Liu
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, USA
| | - Amitha Domalpally
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, USA
| | - Benjamin J Frankfort
- Departments of Ophthalmology and Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Elliott H Sohn
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA
- Institute for Vision Research, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Michael Abramoff
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA
| | - Roomasa Channa
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, USA
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von Hanno T, Hareide LL, Småbrekke L, Morseth B, Sneve M, Erke MG, Mathiesen EB, Bertelsen G. Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study. Invest Ophthalmol Vis Sci 2022; 63:16. [PMID: 35960516 PMCID: PMC9396695 DOI: 10.1167/iovs.63.9.16] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Purpose The purpose of this study was to investigate associations between cardiovascular risk factors and the thickness of retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), and outer retina layers (ORL). Methods In this population-based study, we included participants from the Tromsø Study: Tromsø6 (2007 to 2008) and Tromsø7 (2015 to 2016). Persons with diabetes and/or diagnosed glaucoma were excluded from this study. Retinal thickness was measured on optical coherence tomography (Cirrus HD-OCT) macula-scans, segmented on RNFL, GCIPL, and ORL and associations were analyzed cross-sectionally (N = 8288) and longitudinally (N = 2595). We used directed acyclic graphs (DAGs) for model selection, and linear regression to adjust for confounders and mediators in models assessing direct effects. Factors examined were age, sex, blood pressure, daily smoking, serum lipids, glycated hemoglobin, body mass index (BMI), total body fat percentage (BFP), and the adjustment variables refraction and height. Results The explained variance of cardiovascular risk factors was highest in GCIPL (0.126). GCIPL had a strong negative association with age. Women had thicker GCIPL than men at higher age and thinner ORL at all ages (P < 0.001). Systolic blood pressure was negatively associated with RNFL/GCIPL (P = 0.001/0.004), with indication of a U-shaped relationship with GCIPL in women. The negative association with BMI was strongest in men, with significant effect for RNFL/GCIPL/ORL (P = 0.001/<0.001/0.019) and in women for GCIPL/ORL (P = 0.030/0.037). BFP was negatively associated with GCIPL (P = 0.01). Higher baseline BMI was associated with a reduction in GCIPL over 8 years (P = 0.03). Conclusions Cardiovascular risk factors explained 12.6% of the variance in GCIPL, with weight and blood pressure the most important modifiable factors.
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Affiliation(s)
- Therese von Hanno
- Department of Ophthalmology, Nordland Hospital Trust, Bodø, Norway.,Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Lars Småbrekke
- Department of Pharmacy, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Monica Sneve
- Hospital Administration, Bærum Hospital, Vestre Viken Hospital Trust, Bærum, Norway.,Department of Ophthalmology, Oslo University Hospital, Oslo, Norway
| | - Maja Gran Erke
- Department of Ophthalmology, Oslo University Hospital, Oslo, Norway.,Directorate of eHealth, Oslo, Norway
| | - Ellisiv Bøgeberg Mathiesen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Geir Bertelsen
- Department of Ophthalmology, University Hospital of North Norway, Tromsø, Norway.,Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
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44
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Buelens T, Fils JF, Willermain F. Posterior segment spectral domain oct in the differential diagnosis of bilateral temporal optic neuropathy and its correlation with visual acuity. Int Ophthalmol 2022; 42:3877-3889. [PMID: 35809163 DOI: 10.1007/s10792-022-02408-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/13/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To identify the underlying etiologies and to evaluate the differential diagnostic value of posterior segment spectral domain OCT measurements and their correlation with best-corrected visual acuity (BCVA) in a group of patients with OCT documented bilateral optic neuropathy limited to the temporal quadrants. METHODS Retrospective study. RESULTS We included 61 patients: 35 presented with presumed "classic" acquired mitochondrial optic neuropathy (MON) (18 nutritional, 11 toxic, 6 mixed toxic-nutritional) and 2 with suspected hereditary MON. Nine patients were identified as 'MON mimickers' (especially multiple sclerosis), and 4 were found to have a mixed mechanism, while 11 remained undiagnosed. Across all etiologies, the strongest positive relationship between BCVA and tested OCT parameters was with macular GCL (ganglion cell layer) and GCIPL (combined ganglion cell and inner plexiform layer) volumes rather than peripapillary retinal nerve fiber layer (RNFL) thicknesses (all statistically significant). There was an inverse relationship between BCVA and inner nuclear layer (INL) volumes, with significant differences for BCVA and all tested OCT parameters between eyes with and without INL microcystoid lesions. OCT (absolute values and intereye differences) was not helpful in distinguishing between presumed acquired mitochondrial disease and patients with multiple sclerosis without optic neuritis. However, significantly greater intereye differences in global RNFL and inner plexiform layer and GCIPL volumes were found in patients with a previous history of unilateral optic neuritis. CONCLUSIONS The strongest positive relationship with BCVA was found for macular GCL and GCIPL volumes. OCT could not differentiate between acquired mitochondrial disease and multiple sclerosis without optic neuritis.
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Affiliation(s)
- Tom Buelens
- CHU St Pierre and Brugmann, Department of Ophthalmology, 322 rue Haute, 1000, Brussels, Belgium.
| | | | - François Willermain
- CHU St Pierre and Brugmann, Department of Ophthalmology, 322 rue Haute, 1000, Brussels, Belgium
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45
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Wang Z, Wiggs JL, Aung T, Khawaja AP, Khor CC. The genetic basis for adult onset glaucoma: Recent advances and future directions. Prog Retin Eye Res 2022; 90:101066. [PMID: 35589495 DOI: 10.1016/j.preteyeres.2022.101066] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/19/2022] [Accepted: 04/23/2022] [Indexed: 11/26/2022]
Abstract
Glaucoma, a diverse group of eye disorders that results in the degeneration of retinal ganglion cells, is the world's leading cause of irreversible blindness. Apart from age and ancestry, the major risk factor for glaucoma is increased intraocular pressure (IOP). In primary open-angle glaucoma (POAG), the anterior chamber angle is open but there is resistance to aqueous outflow. In primary angle-closure glaucoma (PACG), crowding of the anterior chamber angle due to anatomical alterations impede aqueous drainage through the angle. In exfoliation syndrome and exfoliation glaucoma, deposition of white flaky material throughout the anterior chamber directly interfere with aqueous outflow. Observational studies have established that there is a strong hereditable component for glaucoma onset and progression. Indeed, a succession of genome wide association studies (GWAS) that were centered upon single nucleotide polymorphisms (SNP) have yielded more than a hundred genetic markers associated with glaucoma risk. However, a shortcoming of GWAS studies is the difficulty in identifying the actual effector genes responsible for disease pathogenesis. Building on the foundation laid by GWAS studies, research groups have recently begun to perform whole exome-sequencing to evaluate the contribution of protein-changing, coding sequence genetic variants to glaucoma risk. The adoption of this technology in both large population-based studies as well as family studies are revealing the presence of novel, protein-changing genetic variants that could enrich our understanding of the pathogenesis of glaucoma. This review will cover recent advances in the genetics of primary open-angle glaucoma, primary angle-closure glaucoma and exfoliation glaucoma, which collectively make up the vast majority of all glaucoma cases in the world today. We will discuss how recent advances in research methodology have uncovered new risk genes, and how follow up biological investigations could be undertaken in order to define how the risk encoded by a genetic sequence variant comes into play in patients. We will also hypothesise how data arising from characterising these genetic variants could be utilized to predict glaucoma risk and the manner in which new therapeutic strategies might be informed.
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Affiliation(s)
- Zhenxun Wang
- Duke-NUS Medical School, Singapore; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
| | - Janey L Wiggs
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Tin Aung
- Duke-NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Chiea Chuen Khor
- Duke-NUS Medical School, Singapore; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
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46
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Kim J, Kennedy Neary MT, Aschard H, Palakkamanil MM, Do R, Wiggs JL, Khawaja AP, Pasquale LR, Kang JH. Statin Use in Relation to Intraocular Pressure, Glaucoma, and Ocular Coherence Tomography Parameters in the UK Biobank. Invest Ophthalmol Vis Sci 2022; 63:31. [PMID: 35612836 PMCID: PMC9150836 DOI: 10.1167/iovs.63.5.31] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/26/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose The purpose of this study was to evaluate the relationship between statin use and glaucoma-related traits. Methods In a cross-sectional study, we included 118,153 UK Biobank participants with data on statin use and corneal-compensated IOP. In addition, we included 192,283 participants (8982 cases) with data on glaucoma status. After excluding participants with neurodegenerative diseases, 41,638 participants with macular retinal nerve fiber layer thickness (mRNFL) and 41,547 participants with macular ganglion cell inner plexiform layer thickness (mGCIPL) were available for analysis. We examined associations of statin use with IOP, mRNFL, mGCIPL, and glaucoma status utilizing multivariable-adjusted regression models. We assessed whether a glaucoma polygenic risk score (PRS) modified associations. We performed Mendelian randomization (MR) experiments to investigate associations with various glaucoma-related outcomes. Results Statin users had higher unadjusted mean IOP ± SD than nonusers, but in a multivariable-adjusted model, IOP did not differ by statin use (difference = 0.05 mm Hg, 95% confidence interval [CI] = -0.02 to 0.13, P = 0.17). Similarly, statin use was not associated with prevalent glaucoma (odds ratio [OR] = 1.05, 95% CI = 0.98 to 1.13). Statin use was weakly associated with thinner mRNFL (difference = -0.15 microns, 95% CI = -0.28 to -0.01, P = 0.03) but not with mGCIPL thickness (difference = -0.12 microns, 95% CI = -0.29 to 0.05, P = 0.17). No association was modified by the glaucoma PRS (Pinteraction≥ 0.16). MR experiments showed no evidence for a causal association between the cholesterol-altering effect of statins and several glaucoma traits (inverse weighted variance P ≥ 0.14). Conclusions We found no evidence of a protective association between statin use and glaucoma or related traits after adjusting for key confounders.
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Affiliation(s)
- Jihye Kim
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
| | | | - Hugues Aschard
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
- Institut Pasteur, Université de Paris, Department of Computational Biology, Paris, France
| | - Mathew M. Palakkamanil
- Department of Ophthalmology and Visual Science, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ron Do
- Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Janey L. Wiggs
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
| | - Anthony P. Khawaja
- NIHR Biomedical Research Centre at Moorfields Eye Hospital & UCL Institute of Ophthalmology, London, United Kingdom
| | - Louis R. Pasquale
- Department of Ophthalmology, Icahn School of Medicine, Mount Sinai, New York, New York, United States
| | - Jae H. Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
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Kleerekooper I, Chua S, Foster PJ, Trip SA, Plant GT, Petzold A, Patel P. Associations of Alcohol Consumption and Smoking With Disease Risk and Neurodegeneration in Individuals With Multiple Sclerosis in the United Kingdom. JAMA Netw Open 2022; 5:e220902. [PMID: 35238934 PMCID: PMC8895260 DOI: 10.1001/jamanetworkopen.2022.0902] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
IMPORTANCE Understanding the effects of modifiable risk factors on risk for multiple sclerosis (MS) and associated neurodegeneration is important to guide clinical counseling. OBJECTIVE To investigate associations of alcohol use, smoking, and obesity with odds of MS diagnosis and macular ganglion cell layer and inner plexiform layer (mGCIPL) thickness. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study analyzed data from the community-based UK Biobank study on health behaviors and retinal thickness (measured by optical coherence tomography in both eyes) in individuals aged 40 to 69 years examined from December 1, 2009, to December 31, 2010. Risk factors were identified with multivariable logistic regression analyses. To adjust for intereye correlations, multivariable generalized estimating equations were used to explore associations of alcohol use and smoking with mGCIPL thickness. Finally, interaction models explored whether the correlations of alcohol and smoking with mGCIPL thickness differed for individuals with MS. Data were analyzed from February 1 to July 1, 2021. EXPOSURES Smoking status (never, previous, or current), alcohol intake (never or special occasions only [low], once per month to ≤4 times per week [moderate], or daily/almost daily [high]), and body mass index. MAIN OUTCOMES AND MEASURES Multiple sclerosis case status and mGCIPL thickness. RESULTS A total of 71 981 individuals (38 685 women [53.7%] and 33 296 men [46.3%]; mean [SD] age, 56.7 [8.0] years) were included in the analysis (20 065 healthy control individuals, 51 737 control individuals with comorbidities, and 179 individuals with MS). Modifiable risk factors significantly associated with MS case status were current smoking (odds ratio [OR], 3.05 [95% CI, 1.95-4.64]), moderate alcohol intake (OR, 0.62 [95% CI, 0.43-0.91]), and obesity (OR, 1.72 [95% CI, 1.15-2.56]) compared with healthy control individuals. Compared with the control individuals with comorbidities, only smoking was associated with case status (OR, 2.30 [95% CI, 1.48-3.51]). High alcohol intake was associated with a thinner mGCIPL in individuals with MS (adjusted β = -3.09 [95% CI, -5.70 to -0.48] μm; P = .02). In the alcohol interaction model, high alcohol intake was associated with thinner mGCIPL in control individuals (β = -0.93 [95% CI, -1.07 to -0.79] μm; P < .001), but there was no statistically significant association in individuals with MS (β = -2.27 [95% CI, -4.76 to 0.22] μm; P = .07). Smoking was not associated with mGCIPL thickness in MS. However, smoking was associated with greater mGCIPL thickness in control individuals (β = 0.89 [95% CI, 0.74-1.05 μm]; P < .001). CONCLUSIONS AND RELEVANCE These findings suggest that high alcohol intake was associated with retinal features indicative of more severe neurodegeneration, whereas smoking was associated with higher odds of being diagnosed with MS.
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Affiliation(s)
- Iris Kleerekooper
- Queen Square MS Centre, Department of Neuroinflammation, UCL (University College London) Institute of Neurology, London, United Kingdom
- Department of Neuro-ophthalmology, Moorfields Eye Hospital, London, United Kingdom
| | - Sharon Chua
- NIHR (National Institute for Health Research) Biomedical Research Centre, Moorfields Eye Hospital, NHS (National Health Service) Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Paul J. Foster
- NIHR (National Institute for Health Research) Biomedical Research Centre, Moorfields Eye Hospital, NHS (National Health Service) Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - S. Anand Trip
- Queen Square MS Centre, Department of Neuroinflammation, UCL (University College London) Institute of Neurology, London, United Kingdom
| | - Gordon T. Plant
- Queen Square MS Centre, Department of Neuroinflammation, UCL (University College London) Institute of Neurology, London, United Kingdom
| | - Axel Petzold
- Queen Square MS Centre, Department of Neuroinflammation, UCL (University College London) Institute of Neurology, London, United Kingdom
- Department of Neuro-ophthalmology, Moorfields Eye Hospital, London, United Kingdom
- Dutch Expertise Centre for Neuro-ophthalmology and MS (Multiple Sclerosis) Centre, Departments of Neurology and Ophthalmology, Amsterdam University Medical College, Amsterdam, the Netherlands
| | - Praveen Patel
- NIHR (National Institute for Health Research) Biomedical Research Centre, Moorfields Eye Hospital, NHS (National Health Service) Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
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Stuart KV, Madjedi K, Luben RN, Chua SY, Warwick AN, Chia M, Pasquale LR, Wiggs JL, Kang JH, Hysi PG, Tran JH, Foster PJ, Khawaja AP. Alcohol, intraocular pressure and open-angle glaucoma: A systematic review and meta-analysis. Ophthalmology 2022; 129:637-652. [PMID: 35101531 PMCID: PMC9126073 DOI: 10.1016/j.ophtha.2022.01.023] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 01/11/2023] Open
Abstract
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 also may be of interest from an individual or public health perspective. Methods The study protocol was preregistered in the Open Science Framework Registries (https://osf.io/z7yeg). Eligible articles (as of May 14, 2021) from 3 databases (PubMed, Embase, Scopus) were independently screened and quality assessed by 2 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 was 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 Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. Results Thirty-four studies were included in the systematic review. Evidence from 10 studies reporting an association with IOP suggests that habitual alcohol use is associated with higher IOP and prevalence of ocular hypertension (IOP > 21 mmHg), 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% confidence interval [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. Conclusions Although 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.
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The changes in retinal nerve fiber layer and macular thickness in Chinese patients with alcohol dependency. Drug Alcohol Depend 2021; 229:109130. [PMID: 34773776 DOI: 10.1016/j.drugalcdep.2021.109130] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/15/2021] [Accepted: 09/25/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVES This study examined the changes in the retinal nerve fiber layer (RNFL) thickness and the macular thickness in Chinese patients with alcohol dependency and ascertaining the influence of optic cup volume on cognitive functioning. METHODS A total of 26 alcohol-dependent patients and 53 age- and gender-matched healthy controls were enrolled in the study. All subjects underwent Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) measurement and were scanned via spectral-domain optical coherence tomography (OCT). RESULTS Compared with the healthy controls, the alcohol-dependent patients returned lower scores across all subscales and total RBANS scores. The total thickness of the RNFL of the left eye, temporal and nasal RNFLthickness of both eyes were thinner in the alcohol-dependent patients (all p < 0.05). In terms of macular thickness, eight macular regions and the average thickness of the right eye and three of the left eye were thinner in the alcohol-dependent patients than in the healthy controls. The linear regression analysis indicated that a higher alcohol consumption was associated with thinner RNFL and macular thickness especially in temporal and inferior quadrant region after controlling for smoker status, age, BMI, cholesterol level and AKT level. CONCLUSIONS A higher alcohol consumption was significantly associated with thinner RNFL and macular thickness, indicating that alcohol is a potential risk factor affecting RNFL thickness and macular thickness. Meanwhile, the increase in optic cup volume was associated with the reduced cognitive functioning of the alcohol-dependent patients.
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50
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Erythropoietin and optic neuritis in the TONE study. Lancet Neurol 2021; 20:970-971. [PMID: 34800402 DOI: 10.1016/s1474-4422(21)00378-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 11/23/2022]
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