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Tillmann A, Ceklic L, Dysli C, Munk MR. Gender differences in retinal diseases: A review. Clin Exp Ophthalmol 2024; 52:317-333. [PMID: 38348562 DOI: 10.1111/ceo.14364] [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: 08/29/2023] [Revised: 01/05/2024] [Accepted: 01/26/2024] [Indexed: 04/18/2024]
Abstract
Gender medicine is a medical specialty that addresses gender differences in health and disease. Traditionally, medical research and clinical practice have often been focused on male subjects and patients. As a result, gender differences in medicine have been overlooked. Gender medicine considers the biological, psychological, and social differences between the genders and how these differences affect the development, diagnosis, treatment, and prevention of disease. For ophthalmological diseases epidemiological differences are known. However, there are not yet any gender-based ophthalmic treatment approaches for women and men. This review provides an overview of gender differences in retinal diseases. It is intended to make ophthalmologists, especially retinologists, more sensitive to the topic of gender medicine. The goal is to enhance comprehension of these aspects by highlighting fundamental gender differences. Integrating gender medicine into ophthalmological practice helps promote personalized and gender-responsive health care and makes medical research more accurate and relevant to the entire population.
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Affiliation(s)
- Anne Tillmann
- Augenarzt-Praxisgemeinschaft Gutblick, Pfäffikon, Switzerland
| | - Lala Ceklic
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Bern Photographic Reading Center, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Chantal Dysli
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Bern Photographic Reading Center, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Marion R Munk
- Augenarzt-Praxisgemeinschaft Gutblick, Pfäffikon, Switzerland
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Bern Photographic Reading Center, Inselspital, University Hospital Bern, Bern, Switzerland
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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2
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Curcio CA, Kar D, Owsley C, Sloan KR, Ach T. Age-Related Macular Degeneration, a Mathematically Tractable Disease. Invest Ophthalmol Vis Sci 2024; 65:4. [PMID: 38466281 PMCID: PMC10916886 DOI: 10.1167/iovs.65.3.4] [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: 01/02/2024] [Accepted: 02/19/2024] [Indexed: 03/12/2024] Open
Abstract
A progression sequence for age-related macular degeneration onset may be determinable with consensus neuroanatomical nomenclature augmented by drusen biology and eye-tracked clinical imaging. This narrative review proposes to supplement the Early Treatment of Diabetic Retinopathy Study (sETDRS) grid with a ring to capture high rod densities. Published photoreceptor and retinal pigment epithelium (RPE) densities in flat mounted aged-normal donor eyes were recomputed for sETDRS rings including near-periphery rich in rods and cumulatively for circular fovea-centered regions. Literature was reviewed for tissue-level studies of aging outer retina, population-level epidemiology studies regionally assessing risk, vision studies regionally assessing rod-mediated dark adaptation (RMDA), and impact of atrophy on photopic visual acuity. The 3 mm-diameter xanthophyll-rich macula lutea is rod-dominant and loses rods in aging whereas cone and RPE numbers are relatively stable. Across layers, the largest aging effects are accumulation of lipids prominent in drusen, loss of choriocapillary coverage of Bruch's membrane, and loss of rods. Epidemiology shows maximal risk for drusen-related progression in the central subfield with only one third of this risk level in the inner ring. RMDA studies report greatest slowing at the perimeter of this high-risk area. Vision declines precipitously when the cone-rich central subfield is invaded by geographic atrophy. Lifelong sustenance of foveal cone vision within the macula lutea leads to vulnerability in late adulthood that especially impacts rods at its perimeter. Adherence to an sETDRS grid and outer retinal cell populations within it will help dissect mechanisms, prioritize research, and assist in selecting patients for emerging treatments.
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Affiliation(s)
- Christine A. Curcio
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
| | - Deepayan Kar
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
| | - Cynthia Owsley
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
| | - Kenneth R. Sloan
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
| | - Thomas Ach
- Department of Ophthalmology, University Hospital Bonn, Bonn, Germany
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3
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Goerdt L, Holz FG, Finger RP. [Retinal optical coherence tomography biomarkers in dementia]. DIE OPHTHALMOLOGIE 2024; 121:84-92. [PMID: 37847375 DOI: 10.1007/s00347-023-01947-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/25/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Due to the general aging of society, the prevalence and incidence of dementia are expected to increase considerably. In order to timely identify patients and assess their need for treatment and/or supportive measures, comprehensive and easy access screening methods are required, which, however, are yet to be developed. To date, several biomarkers for the presence of dementia on high-resolution spectral domain optical coherence tomography (OCT) and OCT angiography (OCT-A) images were identified. AIM To summarize previously identified OCT biomarkers in dementia and to assess their suitability for comprehensive screening examinations. MATERIAL AND METHODS A literature search was conducted on PubMed until March 2023 for the keywords "dementia", "mild cognitive impairment", "OCT", "OCT angiography" and "retinal biomarkers". Relevant publications were identified and summarized. RESULTS Numerous unspecific alterations on OCT imaging and OCT‑A were identified in patients with (predementia) dementia according to many population and clinical studies. These include a reduced thickness of the peripapillary retinal nerve fiber layer, the ganglion cell complex and the central retinal region. Additionally, a reduced vascular density and an enlarged foveal avascular zone (FAZ) were identified on OCT‑A imaging. CONCLUSION The currently known OCT biomarkers are too unspecific, and there is to date no OCT or OCT-A-based signature distinguishing between different types of dementia. Further longitudinal studies with larger sample sizes are warranted to develop and evaluate such distinct OCT signatures for different types of dementia and their respective early disease stages and to assess their prognostic value. Only then is the inclusion in comprehensive screening investigations feasible.
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Affiliation(s)
- L Goerdt
- Universitäts-Augenklinik Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Deutschland.
| | - F G Holz
- Universitäts-Augenklinik Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Deutschland
| | - R P Finger
- Universitäts-Augenklinik Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
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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: 0] [Impact Index Per Article: 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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5
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Optical Coherence Tomography: Retinal Imaging Contributes to the Understanding of Brain Pathology in Classical Galactosemia. J Clin Med 2023; 12:jcm12052030. [PMID: 36902816 PMCID: PMC10004555 DOI: 10.3390/jcm12052030] [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: 01/24/2023] [Revised: 02/23/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
It remains unresolved whether central nervous system involvement in treated classical galactosemia (CG) is a progressive neurodegenerative process. This study aimed to investigate retinal neuroaxonal degeneration in CG as a surrogate of brain pathology. Global peripapillary retinal nerve fibre layer (GpRNFL) and combined ganglion cell and inner plexiform layer (GCIPL) were analysed in 11 CG patients and 60 controls (HC) using spectral-domain optical coherence tomography. Visual acuity (VA) and low-contrast VA (LCVA) were acquired to test visual function. GpRNFL and GCIPL did not differ between CG and HC (p > 0.05). However, in CG, there was an effect of intellectual outcome on GCIPL (p = 0.036), and GpRNFL and GCIPL correlated with neurological rating scale scores (p < 0.05). A single-case follow-up analysis showed GpRNFL (0.53-0.83%) and GCIPL (0.52-0.85%) annual decrease beyond the normal aging effect. VA and LCVA were reduced in CG with intellectual disability (p = 0.009/0.006), likely due to impaired visual perception. These findings support that CG is not a neurodegenerative disease, but that brain damage is more likely to occur early in brain development. To clarify a minor neurodegenerative component in the brain pathology of CG, we propose multicenter cross-sectional and longitudinal studies using retinal imaging.
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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: 0] [Impact Index Per Article: 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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7
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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: 1.5] [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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8
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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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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: 1.0] [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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10
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Choovuthayakorn J, Chokesuwattanaskul S, Phinyo P, Hansapinyo L, Pathanapitoon K, Chaikitmongkol V, Watanachai N, Kunavisarut P, Patikulsila D. Reference Database of Inner Retinal Layer Thickness and Thickness Asymmetry in Healthy Thai Adults as Measured by the Spectralis Spectral-Domain Optical Coherence Tomography. Ophthalmic Res 2022; 65:668-677. [PMID: 35709686 DOI: 10.1159/000525512] [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] [Received: 04/29/2022] [Accepted: 05/19/2022] [Indexed: 12/13/2022]
Abstract
INTRODUCTION The study aimed to determine a reference database of the thickness and intraocular thickness asymmetry of total retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) in healthy Thai subjects measured by the Spectralis spectral-domain optical coherence tomography. METHODS This cross-sectional study recruited the healthy subjects age ≥18 years, having spherical refraction within ±6 diopters and cylindrical refraction ±3 diopters, from a hospital's personnel and the people visiting the ophthalmology department. Only 1 eye of each subject was randomly selected for an analysis. Macular images were obtained using posterior pole thickness scan protocol over a 24° × 24° area at the center of the fovea. The automated retinal thickness segmentation values of total retina and three inner retinal layers were calculated for the mean and the mean intraocular thickness difference between superior and inferior retinal hemispheres. The influence of age, gender, and axial length on thickness and thickness asymmetry of individualized retinal layer was evaluated. RESULTS 252 subjects were included in study with a mean (SD) age of 46.7 (15.8) years, and 120 (47.6%) were males. According to the Early Treatment Diabetic Retinopathy Study map, the inner ring area was the thickest location of the total retina (range; 326.0-341.5 µm), GCL (range; 47.7-52.7 µm), and IPL (range; 39.9-42.1 µm), whereas the thickest location of RNFL was at the outer ring area (range; 18.8-47.5 µm). For posterior pole intraocular thickness asymmetry, the greatest mean ± SD difference was observed for total retina (9.0 ± 2.2 µm), followed by RNFL (9.9 ± 3.2 µm) and GCL (2.7 ± 0.6 µm), and the lowest mean difference was noted for IPL (2.4 ± 0.5 µm). The thickness and thickness asymmetry of each retinal layer were variably influenced by age, gender, and axial length; however, these factors had a minimal influence on the thickness asymmetry maps of GCL and RNFL. CONCLUSION The reference database of the macular thickness and thickness asymmetry from this study would be beneficial in determining physiologic variations of the OCT parameters in the healthy Thai population.
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Affiliation(s)
- Janejit Choovuthayakorn
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Susama Chokesuwattanaskul
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.,Cornea and Refractive Surgery Unit, Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Phichayut Phinyo
- Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.,Musculoskeletal Science and Translational Research (MSTR), Chiang Mai University, Chiang Mai, Thailand.,Clinical Epidemiology and Clinical Statistics Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Linda Hansapinyo
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Kessara Pathanapitoon
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Voraporn Chaikitmongkol
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nawat Watanachai
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Paradee Kunavisarut
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Direk Patikulsila
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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11
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Garzone D, Finger RP, Mauschitz MM, Santos MLS, Breteler MMB, Aziz NA. Neurofilament light chain and retinal layers' determinants and association: A population-based study. Ann Clin Transl Neurol 2022; 9:564-569. [PMID: 35243826 PMCID: PMC8994982 DOI: 10.1002/acn3.51522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 02/01/2022] [Indexed: 11/16/2022] Open
Abstract
Both retinal atrophy measured through optical coherence tomography and plasma neurofilament light chain (NfL) levels are markers of neurodegeneration, but their relationship is unknown. Therefore, we assessed their determinants and association in 4369 participants of a population‐based study. Both plasma NfL levels and inner retinal atrophy increased exponentially with age. In the presence of risk factors for neurodegeneration (including age, smoking, and a history of neurological disorders), plasma NfL levels were associated with inner retinal atrophy and outer retinal thickening. Our findings indicate that inner retinal atrophy can reflect neuroaxonal damage as mirrored by rising plasma NfL levels.
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Affiliation(s)
- Davide Garzone
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Ophthalmology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Robert P Finger
- Department of Ophthalmology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Matthias M Mauschitz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Ophthalmology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Marina L S Santos
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
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12
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Mauschitz MM, Lohner V, Koch A, Stöcker T, Reuter M, Holz FG, Finger RP, Breteler MMB. Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study. Sci Rep 2022; 12:2757. [PMID: 35177781 PMCID: PMC8854401 DOI: 10.1038/s41598-022-06821-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/20/2022] [Indexed: 01/09/2023] Open
Abstract
Retinal assessments have been discussed as biomarkers for brain atrophy. However, available studies did not investigate all retinal layers due to older technology, reported inconsistent results, or were based on small sample sizes. We included 2872 eligible participants of the Rhineland Study with data on spectral domain-optical coherence tomography (SD-OCT) and brain magnetic resonance imaging (MRI). We used multiple linear regression to examine relationships between retinal measurements and volumetric brain measures as well as fractional anisotropy (FA) as measure of microstructural integrity of white matter (WM) for different brain regions. Mean (SD) age was 53.8 ± 13.2 years (range 30-94) and 57% were women. Volumes of the inner retina were associated with total brain and grey matter (GM) volume, and even stronger with WM volume and FA. In contrast, the outer retina was mainly associated with GM volume, while both, inner and outer retina, were associated with hippocampus volume. While we extend previously reported associations between the inner retina and brain measures, we found additional associations of the outer retina with parts of the brain. This indicates that easily accessible retinal SD-OCT assessments may serve as biomarkers for clinical monitoring of neurodegenerative diseases and merit further research.
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Affiliation(s)
- Matthias M. Mauschitz
- grid.424247.30000 0004 0438 0426Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Ophthalmology, University Hospital Bonn, Bonn, Germany
| | - Valerie Lohner
- grid.424247.30000 0004 0438 0426Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127 Bonn, Germany
| | - Alexandra Koch
- grid.424247.30000 0004 0438 0426Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127 Bonn, Germany
| | - Tony Stöcker
- grid.424247.30000 0004 0438 0426MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ,grid.10388.320000 0001 2240 3300Department of Physics and Astronomy, University of Bonn, Bonn, Germany
| | - Martin Reuter
- grid.424247.30000 0004 0438 0426Image Analysis, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Frank G. Holz
- grid.15090.3d0000 0000 8786 803XDepartment of Ophthalmology, University Hospital Bonn, Bonn, Germany
| | - Robert P. Finger
- grid.15090.3d0000 0000 8786 803XDepartment of Ophthalmology, University Hospital Bonn, Bonn, Germany
| | - Monique M. B. Breteler
- grid.424247.30000 0004 0438 0426Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1/99, 53127 Bonn, Germany ,grid.10388.320000 0001 2240 3300Institute for Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
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13
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Suciu VI, Suciu CI, Nicoară SD, Perju-Dumbravă L. Circumpapillary Retinal Nerve Fiber Layer OCT Imaging in a Parkinson’s Disease Cohort—A Multidisciplinary Approach in a Clinical Research Hospital. J Pers Med 2022; 12:jpm12010080. [PMID: 35055395 PMCID: PMC8780025 DOI: 10.3390/jpm12010080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/17/2021] [Accepted: 12/29/2021] [Indexed: 11/21/2022] Open
Abstract
(1) Background: The purpose of this paper is to report the data of the first study in a Clinical Research Hospital, in the Transylvania region, focusing on the Spectral Domain Optical Coherence Tomography (SD-OCT) measurements in the early stages of Parkinson’s disease (PD), and to compare the results with age-matched healthy controls. (2) Methods: This study assessed the circumpapillary retinal nerve fiber layer (cpRNFL) SD-OCT measurements (Heidelberg Spectralis, Heidelberg Engineering, Germany) of two study groups: patients suffering from PD (Hoehn−Yahr stages 1–3) and healthy controls. Secondary objectives were to investigate the reported visual symptoms by evaluating the color vision, contrast sensitivity, and the central visual defects for macular disease using standardized charts. Subjects with prior history of ophthalmologic diseases, advanced stages of PD (Hoehn−Yahr stages 4–5), or with psychiatric conditions were not included in this study. The same team of neurologists and ophthalmologists evaluated all individuals in order to have comparable data and to eliminate inter-examiner differences. All subjects were recruited from the same Clinical Research Hospital in the Transylvania region, Romania. (3) Results: 72% of the PD patients (n = 17) in this study reported visual symptoms. In respect to the ophthalmologic chart evaluation for PD patients, the most frequent disturbances were identified in the Ishihara color perception testing (33%). The regression analysis showed significant results for the Ishihara testing in relation to the cpRNFL thinning in the temporal retinal sectors for both eyes. cpRNFL thinning was predominantly contralateral to the parkinsonism (p = 0.001). The temporal and global values of the cpRNFL were significantly lower in all PD patients < 70 years old, compared to the age-matched healthy controls. (4) Conclusions: Specific patterns of cpRNFL thinning were found in the PD subjects younger than 70 years. A multidisciplinary approach is essential for a complete evaluation of PD patients.
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Affiliation(s)
- Vlad-Ioan Suciu
- Department of Neuroscience, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania;
- Correspondence:
| | - Corina-Iuliana Suciu
- Department of Ophthalmology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (C.-I.S.); (S.-D.N.)
| | - Simona-Delia Nicoară
- Department of Ophthalmology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (C.-I.S.); (S.-D.N.)
| | - Lăcrămioara Perju-Dumbravă
- Department of Neuroscience, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania;
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14
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Robbins CB, Grewal DS, Stinnett SS, Soundararajan S, Yoon SP, Polascik BW, Liu AJ, Burke JR, Fekrat S. Assessing the Retinal Microvasculature in Individuals With Early and Late-Onset Alzheimer's Disease. Ophthalmic Surg Lasers Imaging Retina 2021; 52:336-344. [PMID: 34185588 DOI: 10.3928/23258160-20210528-06] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND OBJECTIVE To evaluate retinal microvascular changes in early and late-onset Alzheimer's disease (AD). PATIENTS AND METHODS Eighty-six eyes of 50 late-onset AD participants, 27 eyes of 15 early onset AD participants, and 111 eyes of 57 cognitively normal controls were included. Optical coherence tomography angiography (OCTA) vessel density (VD) and perfusion density (PD) in Early Treatment Diabetic Retinopathy Study 3-mm and 6-mm circles and rings were assessed. RESULTS There was decreased PD in early onset AD 3-mm circle (P = .026) and ring (P = .026) versus controls as well as in late-onset AD 3-mm circle (P = .023) and ring (P = .023) versus controls. There was decreased VD in late-onset AD 3-mm circle (P = .012) and ring (P = .006). No parameters differed between early and late-onset AD (P > .05). CONCLUSIONS AD eyes exhibited decreased retinal microvascular density compared to controls. Retinal parameters may not differ between early onset AD and late-onset AD after adjusting for age. [Ophthalmic Surg Lasers Imaging Retina. 2021;52:336-344.].
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15
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Robbins CB, Thompson AC, Bhullar PK, Koo HY, Agrawal R, Soundararajan S, Yoon SP, Polascik BW, Scott BL, Grewal DS, Fekrat S. Characterization of Retinal Microvascular and Choroidal Structural Changes in Parkinson Disease. JAMA Ophthalmol 2021; 139:182-188. [PMID: 33355613 DOI: 10.1001/jamaophthalmol.2020.5730] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Importance Noninvasive retinal imaging may detect structural changes associated with Parkinson disease (PD) and may represent a novel biomarker for disease detection. Objective To characterize alterations in the structure and microvasculature of the retina and choroid in eyes of individuals with PD and compare them with eyes of age- and sex-matched cognitively healthy control individuals using optical coherence tomography (OCT) and OCT angiography (OCTA). Design, Setting, and Participants This cross-sectional study was conducted at the Duke Neurological Disorders Clinic in Durham, North Carolina. Individuals aged 50 years or older with a diagnosis of PD were eligible for inclusion and underwent an evaluation and diagnosis confirmation before enrollment. Control individuals aged 50 years or older and without subjective cognitive dysfunction, a history of tremor, or evidence of motor dysfunction consistent with parkinsonism were solicited from the clinic or the Duke Alzheimer's Disease Prevention Registry. Individuals with diabetes, glaucoma, retinal pathology, other dementias, and corrected Early Treatment Diabetic Retinopathy Study (ETDRS) visual acuity worse than 20/40 Snellen were excluded. Data were analyzed between January 1, 2020, and March 30, 2020. Exposures All participants underwent OCT and OCTA imaging. Main Outcomes and Measures Generalized estimating equation analysis was used to characterize the association between imaging parameters and PD diagnosis. Superficial capillary plexus vessel density (VD) and perfusion density (PFD) were assessed within the ETDRS 6 × 6-mm circle, 6 × 6-mm inner ring, and 6 × 6-mm outer ring, as was the foveal avascular zone area. Peripapillary retinal nerve fiber layer thickness, macular ganglion cell-inner plexiform layer thickness, central subfield thickness, subfoveal choroidal thickness, total choroidal area, luminal area, and choroidal vascularity index (CVI) were measured. Results A total of 124 eyes of 69 participants with PD (39 men [56.5%]; mean [SD] age, 71.7 [7.0] years) and 248 eyes of 137 control participants (77 men [56.2%]; mean [SD] age, 70.9 [6.7] years) were analyzed. In the 6 × 6-mm ETDRS circle, VD (β coefficient = 0.37; 95% CI, 0.04-0.71; P = .03) and PFD (β coefficient = 0.009; 95% CI, 0.0003-0.018; P = .04) were lower in eyes of participants with PD. In the inner ring of the 6 × 6-mm ETDRS circle, VD (β coefficient = 0.61; 95% CI, 0.20-1.02; P = .003) and PFD (β coefficient = 0.015; 95% CI, 0.005-0.026; P = .004) were lower in eyes of participants with PD. Total choroidal area (β coefficient = -1.74 units2; 95% CI, -3.12 to -0.37 units2; P = .01) and luminal area (β coefficient = -1.02 units2; 95% CI, -1.86 to -0.18 units2; P = .02) were greater, but CVI was lower (β coefficient = 0.5%; 95% CI, 0.2%-0.8%; P < .001) in eyes of individuals with PD. Conclusions and Relevance This study found that individuals with PD had decreased retinal VD and PFD as well as choroidal structural changes compared with age- and sex-matched control participants. Given the observed population differences in these noninvasive retinal biomarkers, further research into their clinical utility in PD is needed.
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Affiliation(s)
- Cason B Robbins
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Atalie C Thompson
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Paramjit K Bhullar
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Hui Yan Koo
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
| | - Rupesh Agrawal
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
| | - Srinath Soundararajan
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Stephen P Yoon
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | | | - Burton L Scott
- Department of Neurology, Duke University School of Medicine, Durham, North Carolina
| | - Dilraj S Grewal
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Sharon Fekrat
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
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Paulsen AJ, Pinto A, Merten N, Chen Y, Fischer ME, Huang GH, Klein BEK, Schubert CR, Cruickshanks KJ. Factors Associated with the Macular Ganglion Cell-Inner Plexiform Layer Thickness in a Cohort of Middle-aged U.S. Adults. Optom Vis Sci 2021; 98:295-305. [PMID: 33771958 PMCID: PMC8007043 DOI: 10.1097/opx.0000000000001650] [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] [Indexed: 10/21/2022] Open
Abstract
SIGNIFICANCE The macular ganglion cell-inner plexiform layer (mGCIPL) may serve as a quick and easily obtained measure of generalized neurodegeneration. Investigating factors associated with this thickness could help to understand neurodegenerative processes. PURPOSE This study aimed to characterize and identify associated factors of the mGCIPL thickness in a Beaver Dam Offspring Study cohort of middle-aged U.S. adults. METHODS Baseline examinations occurred from 2005 to 2008, with follow-up examinations every 5 years. Included participants had baseline data and measured mGCIPL at 10-year follow-up (N = 1848). The mGCIPL was measured using the Cirrus 5000 HD-OCT Macular Cube Scan. Associations between mean mGCIPL thickness and thin mGCIPL, defined as 1 standard deviation (SD) below the population mean, and baseline risk factors were investigated using generalized estimating equations. RESULTS Participants (mean [SD] baseline age, 48.9 [9.3] years; 54.4% women) had mean (SD) mGCIPL thicknesses of 78.4 (8.1) μm in the right eye and 78.1 (8.5) μm in the left (correlation coefficient = 0.76). In multivariable models, age (-1.07 μm per 5 years; 95% confidence interval [CI], -1.28 to -0.86 μm), high alcohol consumption (-1.44 μm; 95% CI, -2.72 to -0.16 μm), higher interleukin 6 levels (50% increase in level: -0.23 μm; 95% CI, -0.45 to 0.00 μm), myopia (-2.55 μm; 95% CI, -3.17 to -1.94 μm), and glaucoma (-1.74 μm; 95% CI, -2.77 to -0.70 μm) were associated with thinner mGCIPL. Age (per 5 years: odds ratio [OR], 1.38; 95% CI, 1.24 to 1.53), diabetes (OR, 1.89, 95% CI, 1.09 to 3.27), myopia (OR, 2.11; 95% CI, 1.63 to 2.73), and increasing and long-term high C-reactive protein (ORs, 1.46 [95% CI, 1.01 to 2.11] and 1.74 [95% CI, 1.14 to 2.65], respectively) were associated with increased odds of thin mGCIPL. CONCLUSIONS Factors associated cross-sectionally with mGCIPL thickness, older age, high alcohol consumption, inflammation, diabetes, myopia, and glaucoma may be important to neural retina structure and health and neuronal health system-wide.
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Affiliation(s)
| | - Alex Pinto
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Natascha Merten
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Yanjun Chen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Mary E Fischer
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | | | - Barbara E K Klein
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Carla R Schubert
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
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Normative Database for All Retinal Layer Thicknesses Using SD-OCT Posterior Pole Algorithm and the Effects of Age, Gender and Axial Lenght. J Clin Med 2020; 9:jcm9103317. [PMID: 33076558 PMCID: PMC7602827 DOI: 10.3390/jcm9103317] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/08/2020] [Accepted: 10/08/2020] [Indexed: 12/20/2022] Open
Abstract
Our aim was to provide, for the first time, reference thickness values for the SD-OCT posterior pole algorithm (PPA) available for Spectralis OCT device (Heidelberg Engineering, Heidelberg, Germany) and to analyze the correlations with age, gender and axial length. We recruited 300 eyes of 300 healthy Caucasian subjects between 18 and 84 years. By PPA, composed of 64 (8 × 8) cells, we analyzed the thickness of the following macular layers: retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), retinal pigment epithelium (RPE), inner retina, outer retina and full retina. Mean ± SD, 1st, 5th, 95th percentiles were obtained for each cell at all macular layers. Significant negative correlations were found between age and thickness for most macular layers. The mean thickness of most macular layers was thicker for men than women, except for RNFL, OPL and RPE, with no gender differences. GCL, IPL and INL thicknesses positively correlated with axial length in central cells, and negatively in the cells near the optic disk. The mean RNFL thickness was positively associated with axial length. This is the first normative database for PPA. Age, gender and axial length should be taken into account when interpreting PPA results.
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18
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Gamulescu MA. [Gender medicine in ophthalmology : The "small difference" between women and men]. Ophthalmologe 2020; 117:831-842. [PMID: 32699941 DOI: 10.1007/s00347-020-01174-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Gender-specific or sex-specific medicine is part of "personalized" medicine. After differences in heart diseases between women and men were first identified and increasingly published in the field of cardiology since the 1980s, differences between the sexes have also become the focus of interest in other disciplines. Immunological and hormonal aspects indicate significant differences, e.g. in the severity of the disease or the response to treatment. Even in ophthalmology epidemiological differences in some diseases are known but so far these do not lead to a different approach in the practical treatment of patients. This CME article aims to raise awareness of gender medicine also in the field of ophthalmology and at the same time to promote understanding of these differences by presenting the fundamental differences between the sexes.
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Affiliation(s)
- M-A Gamulescu
- Klinik und Poliklinik für Augenheilkunde, Universitätsklinikum Regensburg, Franz-Josef-Strauss Allee 11, 93053, Regensburg, Deutschland.
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19
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Merten N, Paulsen AJ, Pinto AA, Chen Y, Dillard LK, Fischer ME, Huang GH, Klein BEK, Schubert CR, Cruickshanks KJ. Macular Ganglion Cell-Inner Plexiform Layer as a Marker of Cognitive and Sensory Function in Midlife. J Gerontol A Biol Sci Med Sci 2020; 75:e42-e48. [PMID: 32490509 DOI: 10.1093/gerona/glaa135] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Neurodegenerative diseases are public health challenges in aging populations. Early identification of people at risk for neurodegeneration might improve targeted treatment. Noninvasive, inexpensive screening tools are lacking but are of great potential. Optical coherence tomography (OCT) measures the thickness of nerve cell layers in the retina, which is an anatomical extension of the brain and might be indicative of common underlying neurodegeneration. We aimed to determine the association of macular ganglion cell-inner plexiform layer (mGCIPL) thickness with cognitive and sensorineural function in midlife. METHOD This cross-sectional study included 1,880 Beaver Dam Offspring Study participants (aged 27-93 years, mean 58) who participated in the 10-year follow-up examination. We assessed cognitive function and impairment, hearing sensitivity thresholds and impairment, central auditory processing, visual impairment, and olfactory impairment. We measured mGCIPL using the Cirrus 5000 HD-OCT Macular Cube Scan. Multivariable linear and logistic regression models adjusted for potential confounders were used to determine associations between mGCIPL thickness and cognitive and sensorineural functions, as well as for comparing participants with a thin mGCIPL (1 SD below average) to the remainder in those functions. RESULTS Thinner mGCIPL was associated with worse cognitive function, worse central auditory function, and visual impairment. We found an association of mGCIPL thickness with hearing sensitivity in women only and no association with impairment in hearing, olfaction, and cognition. Results on the thin group comparisons were consistent. CONCLUSIONS mGCIPL thickness is associated with cognitive and sensorineural function and has the potential as a marker for neurodegeneration in middle-aged adults.
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Affiliation(s)
- Natascha Merten
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Adam J Paulsen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - A Alex Pinto
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Yanjun Chen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Lauren K Dillard
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison.,Department of Communication Sciences and Disorders, College of Letters and Science, University of Wisconsin-Madison
| | - Mary E Fischer
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Guan-Hua Huang
- Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan
| | - Barbara E K Klein
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Carla R Schubert
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Karen J Cruickshanks
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison.,Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
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20
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Ward DD, Mauschitz MM, Bönniger MM, Merten N, Finger RP, Breteler MMB. Association of retinal layer measurements and adult cognitive function: A population-based study. Neurology 2020; 95:e1144-e1152. [PMID: 32586900 DOI: 10.1212/wnl.0000000000010146] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 03/03/2020] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To quantify the associations of peripapillary retinal nerve fiber layer (pRNFL) thickness and macular ganglion cell layer (mGCL) volume with cognitive functioning and to investigate how demographic and vascular health factors affect these associations in a population-based sample of adults. METHODS The sample included the first 3,000 participants (age range 30-95 years) of the Rhineland Study (recruited from March 2016 to December 2018) who underwent spectral-domain optical coherence tomography and cognitive assessment at 1 of 2 identical study centers in Bonn, Germany. We used multiple linear regression models to examine the relationships between retinal layer measurements and cognitive functioning after adjustment for confounders, and we examined the moderating effects of demographic and vascular health factors. RESULTS The analytical sample included 2,483 participants who were 54.3 years old (SD 13.8 years) on average. After full adjustment, each 1-SD decrease in mGCL volume was associated with a greater decrease in global function than that of pRNFL thickness (β = -0.048 [95% confidence interval (CI) -0.077 to -0.018] vs β = -0.021 [95% CI -0.049 to 0.007]). These relationships increased in strength with advancing age, were stronger in participants with hypertension, and were reversed in current smokers relative to nonsmokers. CONCLUSIONS mGCL volume is more strongly related to adult cognitive functioning than pRNFL thickness, making it a better potential biomarker of neurodegeneration. Age and vascular health factors play important roles in determining the strength and direction of this association.
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Affiliation(s)
- David D Ward
- From Population Health Sciences (D.D.W., M.M.M., M.M.B., N.M., M.M.B.B.), German Center for Neurodegenerative Diseases; Department of Ophthalmology (M.M.M., R.P.F.) and Institute for Medical Biometry, Informatics and Epidemiology (M.M.B.B.), Faculty of Medicine, University of Bonn, Germany; and Department of Population Health Sciences (N.M.), School of Medicine and Public Health, University of Wisconsin-Madison
| | - Matthias M Mauschitz
- From Population Health Sciences (D.D.W., M.M.M., M.M.B., N.M., M.M.B.B.), German Center for Neurodegenerative Diseases; Department of Ophthalmology (M.M.M., R.P.F.) and Institute for Medical Biometry, Informatics and Epidemiology (M.M.B.B.), Faculty of Medicine, University of Bonn, Germany; and Department of Population Health Sciences (N.M.), School of Medicine and Public Health, University of Wisconsin-Madison
| | - Meta M Bönniger
- From Population Health Sciences (D.D.W., M.M.M., M.M.B., N.M., M.M.B.B.), German Center for Neurodegenerative Diseases; Department of Ophthalmology (M.M.M., R.P.F.) and Institute for Medical Biometry, Informatics and Epidemiology (M.M.B.B.), Faculty of Medicine, University of Bonn, Germany; and Department of Population Health Sciences (N.M.), School of Medicine and Public Health, University of Wisconsin-Madison
| | - Natascha Merten
- From Population Health Sciences (D.D.W., M.M.M., M.M.B., N.M., M.M.B.B.), German Center for Neurodegenerative Diseases; Department of Ophthalmology (M.M.M., R.P.F.) and Institute for Medical Biometry, Informatics and Epidemiology (M.M.B.B.), Faculty of Medicine, University of Bonn, Germany; and Department of Population Health Sciences (N.M.), School of Medicine and Public Health, University of Wisconsin-Madison
| | - Robert P Finger
- From Population Health Sciences (D.D.W., M.M.M., M.M.B., N.M., M.M.B.B.), German Center for Neurodegenerative Diseases; Department of Ophthalmology (M.M.M., R.P.F.) and Institute for Medical Biometry, Informatics and Epidemiology (M.M.B.B.), Faculty of Medicine, University of Bonn, Germany; and Department of Population Health Sciences (N.M.), School of Medicine and Public Health, University of Wisconsin-Madison
| | - Monique M B Breteler
- From Population Health Sciences (D.D.W., M.M.M., M.M.B., N.M., M.M.B.B.), German Center for Neurodegenerative Diseases; Department of Ophthalmology (M.M.M., R.P.F.) and Institute for Medical Biometry, Informatics and Epidemiology (M.M.B.B.), Faculty of Medicine, University of Bonn, Germany; and Department of Population Health Sciences (N.M.), School of Medicine and Public Health, University of Wisconsin-Madison.
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21
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Mohammadzadeh V, Fatehi N, Yarmohammadi A, Lee JW, Sharifipour F, Daneshvar R, Caprioli J, Nouri-Mahdavi K. Macular imaging with optical coherence tomography in glaucoma. Surv Ophthalmol 2020; 65:597-638. [PMID: 32199939 DOI: 10.1016/j.survophthal.2020.03.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 03/10/2020] [Accepted: 03/12/2020] [Indexed: 02/07/2023]
Abstract
With the advent of spectral-domain optical coherence tomography, imaging of the posterior segment of the eye can be carried out rapidly at multiple anatomical locations, including the optic nerve head, circumpapillary retinal nerve fiber layer, and macula. There is now ample evidence to support the role of spectral-domain optical coherence tomography imaging of the macula for detection of early glaucoma. Macular spectral-domain optical coherence tomography measurements demonstrate high reproducibility, and evidence on its utility for detection of glaucoma progression is accumulating. We present a comprehensive review of macular spectral-domain optical coherence tomography imaging emerging as an essential diagnostic tool in glaucoma.
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Affiliation(s)
- Vahid Mohammadzadeh
- Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA
| | - Nima Fatehi
- Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA; Saint Mary Medical Center - Dignity Health, Long Beach, California, USA
| | - Adeleh Yarmohammadi
- Shiley Eye Institute, University of California, San Diego, La Jolla, California, United States
| | - Ji Woong Lee
- Department of Ophthalmology, Pusan National University College of Medicine, Busan, Korea
| | - Farideh Sharifipour
- Department of Ophthalmology, Shahid Beheshti university of Medical Sciences, Tehran, Iran
| | - Ramin Daneshvar
- Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Joseph Caprioli
- Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA
| | - Kouros Nouri-Mahdavi
- Glaucoma Division, Stein Eye Institute, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA.
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22
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Chua J, Tham YC, Tan B, Devarajan K, Schwarzhans F, Gan A, Wong D, Cheung CY, Majithia S, Thakur S, Fischer G, Vass C, Cheng CY, Schmetterer L. Age-related changes of individual macular retinal layers among Asians. Sci Rep 2019; 9:20352. [PMID: 31889143 PMCID: PMC6937292 DOI: 10.1038/s41598-019-56996-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/19/2019] [Indexed: 02/08/2023] Open
Abstract
We characterized the age-related changes of the intra-retinal layers measured with spectral-domain optical coherence tomography (SD-OCT; Cirrus high-definition OCT [Carl Zeiss Meditec]. The Singapore Epidemiology of Eye Diseases is a population-based, cross-sectional study of Chinese, Malays and Indians living in Singapore. Iowa Reference Algorithms (Iowa Institute for Biomedical Imaging) were used for intra-retinal layer segmentation and mean thickness of 10 intra-retinal layers rescaled with magnification correction using axial length value. Linear regression models were performed to investigate the association of retinal layers with risk factors. After excluding participants with history of diabetes or ocular diseases, high-quality macular SD-OCT images were available for 2,047 participants (44–89 years old). Most of the retinal layers decreased with age except for foveal retinal nerve fiber layer (RNFL) and the inner/outer segments of photoreceptors where they increased with age. Men generally had thicker retinal layers than women. Chinese have the thickest RNFL and retinal pigment epithelium amongst the ethnic groups. Axial length and refractive error remained correlated with retinal layers in spite of magnification correction. Our data show pronounced age-related changes in retinal morphology. Age, gender, ethnicity and axial length need be considered when establishing OCT imaging biomarkers for ocular or systemic disease.
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Affiliation(s)
- Jacqueline Chua
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Bingyao Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore
| | - Kavya Devarajan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore
| | - Florian Schwarzhans
- Center for Medical Statistics Informatics and Intelligent Systems, Section for Medical Information Management and Imaging, Medical University Vienna, Vienna, Austria
| | - Alfred Gan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Damon Wong
- SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore.,Department of Ophthalmology, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Shivani Majithia
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Sahil Thakur
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Georg Fischer
- Center for Medical Statistics Informatics and Intelligent Systems, Section for Medical Information Management and Imaging, Medical University Vienna, Vienna, Austria
| | - Clemens Vass
- Department of Ophthalmology and Optometry, Medical University Vienna, Vienna, Austria
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Leopold Schmetterer
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore. .,Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore. .,SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore. .,Department of Ophthalmology, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. .,Department of Clinical Pharmacology, Medical University Vienna, Vienna, Austria. .,Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
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