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Ye S, Ma S, Liu S, Huang Y, Li D, Li M, Su T, Luo J, Zhang C, Shi D, Hu L, Zhang L, Yu H, He M, Shang X, Zhang X. Shared whole environmental etiology between Alzheimer's disease and age-related macular degeneration. NPJ AGING 2024; 10:36. [PMID: 39103390 DOI: 10.1038/s41514-024-00162-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 07/22/2024] [Indexed: 08/07/2024]
Abstract
The comorbidity of Alzheimer's disease (AD) and age-related macular degeneration (AMD) has been established in clinical and genetic studies. There is growing interest in determining the shared environmental factors associated with both conditions. Recent advancements in record linkage techniques enable us to identify the contributing factors to AD and AMD from a wide range of variables. As such, we first constructed a knowledge graph based on the literature, which included all statistically significant risk factors for AD and AMD. An environment-wide association study (EWAS) was conducted to assess the contribution of various environmental factors to the comorbidity of AD and AMD based on the UK biobank. Based on the conditional Q-Q plots and Bayesian algorithm, several shared environmental factors were identified, which could be categorized into the domains of health condition, biological sample parameters, body index, and attendance availability. Finally, we generated a shared etiology landscape for AD and AMD by combining existing knowledge with our novel findings.
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Affiliation(s)
- Siting Ye
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Orthopaedics, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shuo Ma
- Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
- Department of Ethicon Minimally Invasive Procedures and Advanced Energy, Johnson & Johnson Medical (Shanghai) Device Company, Shanghai, China
| | - Shunming Liu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
| | - Dantong Li
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
| | - Min Li
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
| | - Ting Su
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
| | - Jing Luo
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Chi Zhang
- Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Danli Shi
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China
| | - Lianting Hu
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Lei Zhang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, 710061, Xi'an, Shaanxi, China
- Central Clinical School, Faculty of Medicine, Monash University, 3800, Melbourne, Australia
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China.
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China.
| | - Xueli Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China.
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, 510080, Guangzhou, China.
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Boscia G, Bacherini D, Vujosevic S, Grassi MO, Borrelli E, Giancipoli E, Landini L, Pignataro M, Alessio G, Boscia F, Viggiano P. Long-Term Impact of Diabetic Retinopathy on Response to Anti-VEGF Treatment in Neovascular AMD. Invest Ophthalmol Vis Sci 2024; 65:6. [PMID: 39093297 PMCID: PMC11305436 DOI: 10.1167/iovs.65.10.6] [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: 05/20/2024] [Accepted: 07/17/2024] [Indexed: 08/04/2024] Open
Abstract
Purpose To explore the long-term effect of diabetic retinopathy on response to anti-vascular endothelial growth factor (VEGF) treatment in age-related macular degeneration-associated type 1 macular neovascularization (MNV) using optical coherence tomography angiography (OCTA). Methods A total of 45 eyes with exudative neovascular age-related macular degeneration (nAMD) with type 1 MNV were included in the analysis. Among them, 24 eyes of 24 patients had no history of diabetes mellitus (DM) in their anamnesis and were assigned to the Not Diabetic group; 21 eyes of 21 patients had mild diabetic retinopathy and were included in the Diabetic group. We considered the following outcome measures: (1) best-corrected visual acuity changes; (2) central macular thickness; (3) MNV lesion area; and (4) MNV flow area. The OCTA acquisitions were performed at the following time points: (1) baseline visit, which corresponded to the day before the first injection; (2) post-loading phase (LP), which was scheduled at 1 month after the last LP injection; and (3) 12-month follow-up visit. Results All morphofunctional parameters showed a significant improvement after the LP and at the 12-month follow-up visit. Specifically, both the Diabetic group and the Not Diabetic group displayed a significant reduction of MNV lesion areas at both the post-LP assessment (P = 0.026 and P = 0.016, respectively) and the 12-month follow-up (P = 0.039 and P = 0.025, respectively). Similarly, the MNV flow area was significantly decreased in both the Diabetic group and the Not Diabetic group at the post-LP assessment (P < 0.001 and P = 0.012, respectively) and at the 12-month follow-up (P = 0.01 and P = 0.035, respectively) compared to baseline. A smaller reduction in the MNV lesion area was observed in the Diabetic group at both the post-LP evaluation (P = 0.015) and the 12-month follow-up (P = 0.032). No other significant differences were found between the groups for the other parameters (P > 0.05). Conclusions Our results indicated that the Diabetic group exhibited a smaller reduction in MNV lesion area after 12 months of anti-VEGF treatment. This highlights the importance of considering diabetic retinopathy as a potential modifier of treatment outcomes in nAMD management, with DM serving as a crucial risk factor during anti-angiogenic treatment.
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Affiliation(s)
- Giacomo Boscia
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
| | - Daniela Bacherini
- Ophthalmology Department, Careggi University Hospital, University of Florence, Florence, Italy
| | - Stela Vujosevic
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Eye Clinic IRCCS MultiMedica, Milan, Italy
| | - Maria Oliva Grassi
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
| | - Enrico Borrelli
- Department of Surgical Sciences, University of Turin, Turin, Italy
| | | | - Luca Landini
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
| | - Mariagrazia Pignataro
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
| | - Giovanni Alessio
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
| | - Francesco Boscia
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
| | - Pasquale Viggiano
- Department of Translational Biomedicine Neuroscience, University of Bari “Aldo Moro,” Bari, Italy
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3
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Kaštelan S, Nikuševa-Martić T, Pašalić D, Antunica AG, Zimak DM. Genetic and Epigenetic Biomarkers Linking Alzheimer's Disease and Age-Related Macular Degeneration. Int J Mol Sci 2024; 25:7271. [PMID: 39000382 PMCID: PMC11242094 DOI: 10.3390/ijms25137271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 06/26/2024] [Accepted: 06/29/2024] [Indexed: 07/16/2024] Open
Abstract
Alzheimer's disease (AD) represents a prominent neurodegenerative disorder (NDD), accounting for the majority of dementia cases worldwide. In addition to memory deficits, individuals with AD also experience alterations in the visual system. As the retina is an extension of the central nervous system (CNS), the loss in retinal ganglion cells manifests clinically as decreased visual acuity, narrowed visual field, and reduced contrast sensitivity. Among the extensively studied retinal disorders, age-related macular degeneration (AMD) shares numerous aging processes and risk factors with NDDs such as cognitive impairment that occurs in AD. Histopathological investigations have revealed similarities in pathological deposits found in the retina and brain of patients with AD and AMD. Cellular aging processes demonstrate similar associations with organelles and signaling pathways in retinal and brain tissues. Despite these similarities, there are distinct genetic backgrounds underlying these diseases. This review comprehensively explores the genetic similarities and differences between AMD and AD. The purpose of this review is to discuss the parallels and differences between AMD and AD in terms of pathophysiology, genetics, and epigenetics.
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Affiliation(s)
- Snježana Kaštelan
- Department of Ophthalmology, Clinical Hospital Dubrava, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Tamara Nikuševa-Martić
- Department of Biology and Genetics, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia;
| | - Daria Pašalić
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
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Husain S, Obert E, Singh S, Schnabolk G. Inhibition of HDAC1 and 3 in the Presence of Systemic Inflammation Reduces Retinal Degeneration in a Model of Dry Age-Related Macular Degeneration. J Ocul Pharmacol Ther 2024; 40:397-406. [PMID: 38608232 DOI: 10.1089/jop.2023.0163] [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: 04/14/2024] Open
Abstract
Purpose: Previously, we identified increased retinal degeneration and cytokine response in a mouse model of dry age-related macular degeneration (AMD) in the presence of systemic inflammation from rheumatoid arthritis (RA). Histone deacetylases (HDACs) regulate cytokine production by reducing acetylation and are found to be dysregulated in inflammatory diseases, including RA and AMD. Therefore, this current study investigates the effect of HDAC inhibition on AMD progression in the presence of systemic inflammation. Methods: Collagen induced arthritis (CIA) was induced in C57BL6J mice, followed by sodium iodate (NaIO3)-induced retinal degeneration. Mice were treated with a selective HDAC class I inhibitor, MS-275, and retinal structure [optical coherence tomography (OCT)], function (electroretinography), and molecular changes quantitative real-time polymerase chain reaction (RT-qPCR, Western Blot) were assessed. Results: NaIO3 retinal damage was diminished in CIA mice treated with MS-275 (P ≤ 0.05). While no significant difference was observed in retinal pigment epithelium (RPE) function, a trend in increased c-wave amplitude was detected in CIA + NaIO3 mice treated with MS-275. Finally, we identified decreased Hdac1, Hdac3, and Cxcl9 expression in CIA + NaIO3 mouse RPE/choroid when treated with MS-275 (P ≤ 0.05). Conclusions: Our data demonstrate that HDAC inhibition can reduce the additive effect of NaIO3-induced retinal degeneration in the presence of systemic inflammation by CIA as measured by OCT analysis. In addition, HDAC inhibition in CIA + NaIO3 treated mice resulted in reduced cytokine production. These findings are highly innovative and provide additional support to the therapeutic potential of HDAC inhibitors for dry AMD treatment.
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Affiliation(s)
- Shahid Husain
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Elisabeth Obert
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Sudha Singh
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Gloriane Schnabolk
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, USA
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5
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Ma C, Li H, Lu S, Li X. The Role and Therapeutic Potential of Melatonin in Degenerative Fundus Diseases: Diabetes Retinopathy and Age-Related Macular Degeneration. Drug Des Devel Ther 2024; 18:2329-2346. [PMID: 38911030 PMCID: PMC11193467 DOI: 10.2147/dddt.s471525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 06/13/2024] [Indexed: 06/25/2024] Open
Abstract
Degenerative fundus disease encompasses a spectrum of ocular diseases, including diabetic retinopathy (DR) and age-related macular degeneration (AMD), which are major contributors to visual impairment and blindness worldwide. The development and implementation of effective strategies for managing and preventing the onset and progression of these diseases are crucial for preserving patients' visual acuity. Melatonin, a neurohormone primarily produced by the pineal gland, exhibits properties such as circadian rhythm modulation, antioxidant activity, anti-inflammatory effects, and neuroprotection within the ocular environment. Furthermore, melatonin has been shown to suppress neovascularization and reduce vascular leakage, both of which are critical in the pathogenesis of degenerative fundus lesions. Consequently, melatonin emerges as a promising therapeutic candidate for degenerative ocular diseases. This review provides a comprehensive overview of melatonin synthesis, its localization within ocular tissues, and its mechanisms of action, particularly in regulating melatonin production, thereby underscoring its potential as a therapeutic agent for degenerative fundus diseases.
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Affiliation(s)
- Chao Ma
- Department of Ophthalmology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Haoyu Li
- Department of Ophthalmology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- Hunan Clinical Research Centre of Ophthalmic Disease, Changsha, Hunan, People’s Republic of China
| | - Shuwen Lu
- Department of Ophthalmology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, People’s Republic of China
| | - Xian Li
- Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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6
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Zheng Z, Yu X. Insulin resistance in the retina: possible implications for certain ocular diseases. Front Endocrinol (Lausanne) 2024; 15:1415521. [PMID: 38952394 PMCID: PMC11215121 DOI: 10.3389/fendo.2024.1415521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 06/05/2024] [Indexed: 07/03/2024] Open
Abstract
Insulin resistance (IR) is becoming a worldwide medical and public health challenge as an increasing prevalence of obesity and metabolic disorders. Accumulated evidence has demonstrated a strong relationship between IR and a higher incidence of several dramatically vision-threatening retinal diseases, including diabetic retinopathy, age-related macular degeneration, and glaucoma. In this review, we provide a schematic overview of the associations between IR and certain ocular diseases and further explore the possible mechanisms. Although the exact causes explaining these associations have not been fully elucidated, underlying mechanisms of oxidative stress, chronic low-grade inflammation, endothelial dysfunction and vasoconstriction, and neurodegenerative impairments may be involved. Given that IR is a modifiable risk factor, it may be important to identify patients at a high IR level with prompt treatment, which may decrease the risk of developing certain ocular diseases. Additionally, improving IR through the activation of insulin signaling pathways could become a potential therapeutic target.
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Affiliation(s)
- Zhaoxia Zheng
- Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Xiaobing Yu
- Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
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Powers AM, Patel D, DeAngelis MM, Feng C, Allison K. Risk factors affecting the utilization of eye care services evaluated by the CDC's behavior risk factor surveillance system from 2018 to 2021. Front Public Health 2024; 12:1335427. [PMID: 38915755 PMCID: PMC11194383 DOI: 10.3389/fpubh.2024.1335427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 05/21/2024] [Indexed: 06/26/2024] Open
Abstract
When thinking about major health concerns in the U.S. and around the world, eye care ranks lower compared to cardiovascular disease, cancer, and diabetes. However, people do not think about the direct connection between diabetes and eye health. Untreated diabetes can lead to visual impairments such as blindness or difficulty seeing. Studies have found that eye health associated with nutrition, occupational exposure, diabetes, high blood pressure, and heart disease are some of the known risk factors. This study aimed to identify the potential risk factors that are associated with visual impairment (VI). The data used for this analysis were obtained from the Centers for Disease Control and Prevention (CDC) - Behavioral Risk Factor Surveillance System (BRFSS) from 2018 to 2021. We found important characteristics, such as the U.S. region, general health perception, employment status, income status, age, and health insurance source, that are associated with VI. Our study confirmed that the common demographical factors including age, race/ethnicity, the U.S. region, and gender are associated with VI. The study also highlights associations with additional risk factors such as health insurance source, general health perceptions, employment status, and income status. Using this information, we can reach out to communities with large numbers of individuals experiencing vision challenges and help educate them on prevention and treatment protocols, thereby effectively addressing VI and blindness challenges within our communities, neighborhoods, and finally, the broader society.
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Affiliation(s)
| | - Deepkumar Patel
- University of San Francisco, San Francisco, CA, United States
| | | | | | - Karen Allison
- University of Rochester, Rochester, NY, United States
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Lüdtke L, Ittermann T, Großjohann R, Jürgens C, Völzke H, Tost F, Stahl A. Risk Factors of Age-Related Macular Degeneration in a Population-Based Study: Results from SHIP-TREND-1 (Study of Health in Pomerania-TREND-1). Med Sci Monit 2024; 30:e943140. [PMID: 38702879 PMCID: PMC11078065 DOI: 10.12659/msm.943140] [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: 11/09/2023] [Accepted: 02/05/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Age-related macular degeneration (AMD) is the most common cause of visual impairment in the elderly population in industrialized countries. The Study of Health in Pomerania (SHIP) with its cohort SHIP-TREND was designed to investigate risk factors and clinical disorders in the general population of northeast Germany. This work focused on the first follow-up of SHIP-TREND and determined associated modifiable risk factors of AMD. Modifying risk factors is important to slow the progression of early AMD as there is currently no treatment for the late stage of geographic atrophy. Understanding AMD-associated risk factors also plays an important role in the development of therapeutic concepts. MATERIAL AND METHODS Between 2016 and 2019, data were collected from a total of 2507 initially randomly selected subjects from the general population aged 28 to 89 years. Non-mydriatic fundus photography of the right eye was performed in 2489 subjects. Grading of AMD was performed using the Rotterdam classification system. RESULTS We included 1418 gradable fundus photographs in the analysis. The risk of AMD changes increased with age and was positively correlated with HDL cholesterol, fT3, and low educational level. In men, BMI and cigarette smoking were also positively associated with AMD changes. CONCLUSIONS This study emphasizes the consideration of various metabolic pathways for the development of therapeutic concepts.
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Affiliation(s)
- Lisa Lüdtke
- Department of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Rico Großjohann
- Department of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
| | - Clemens Jürgens
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Frank Tost
- Department of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
| | - Andreas Stahl
- Department of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
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Ye ST, Shang XW, Huang Y, Zhu S, Zhu ZT, Zhang XL, Wang W, Tang SL, Ge ZY, Yang XH, He MG. Association of age at diagnosis of diabetes with subsequent risk of age-related ocular diseases and vision acuity. World J Diabetes 2024; 15:697-711. [PMID: 38680694 PMCID: PMC11045417 DOI: 10.4239/wjd.v15.i4.697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/19/2023] [Accepted: 02/27/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND The importance of age on the development of ocular conditions has been reported by numerous studies. Diabetes may have different associations with different stages of ocular conditions, and the duration of diabetes may affect the development of diabetic eye disease. While there is a dose-response relationship between the age at diagnosis of diabetes and the risk of cardiovascular disease and mortality, whether the age at diagnosis of diabetes is associated with incident ocular conditions remains to be explored. It is unclear which types of diabetes are more predictive of ocular conditions. AIM To examine associations between the age of diabetes diagnosis and the incidence of cataract, glaucoma, age-related macular degeneration (AMD), and vision acuity. METHODS Our analysis was using the UK Biobank. The cohort included 8709 diabetic participants and 17418 controls for ocular condition analysis, and 6689 diabetic participants and 13378 controls for vision analysis. Ocular diseases were identified using inpatient records until January 2021. Vision acuity was assessed using a chart. RESULTS During a median follow-up of 11.0 years, 3874, 665, and 616 new cases of cataract, glaucoma, and AMD, respectively, were identified. A stronger association between diabetes and incident ocular conditions was observed where diabetes was diagnosed at a younger age. Individuals with type 2 diabetes (T2D) diagnosed at < 45 years [HR (95%CI): 2.71 (1.49-4.93)], 45-49 years [2.57 (1.17-5.65)], 50-54 years [1.85 (1.13-3.04)], or 50-59 years of age [1.53 (1.00-2.34)] had a higher risk of AMD independent of glycated haemoglobin. T2D diagnosed < 45 years [HR (95%CI): 2.18 (1.71-2.79)], 45-49 years [1.54 (1.19-2.01)], 50-54 years [1.60 (1.31-1.96)], or 55-59 years of age [1.21 (1.02-1.43)] was associated with an increased cataract risk. T2D diagnosed < 45 years of age only was associated with an increased risk of glaucoma [HR (95%CI): 1.76 (1.00-3.12)]. HRs (95%CIs) for AMD, cataract, and glaucoma associated with type 1 diabetes (T1D) were 4.12 (1.99-8.53), 2.95 (2.17-4.02), and 2.40 (1.09-5.31), respectively. In multivariable-adjusted analysis, individuals with T2D diagnosed < 45 years of age [β 95%CI: 0.025 (0.009,0.040)] had a larger increase in LogMAR. The β (95%CI) for LogMAR associated with T1D was 0.044 (0.014, 0.073). CONCLUSION The younger age at the diagnosis of diabetes is associated with a larger relative risk of incident ocular diseases and greater vision loss.
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Affiliation(s)
- Si-Ting Ye
- The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
| | - Xian-Wen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Susan Zhu
- Austin Hospital, University of Melbourne, Melbourne 3084, Victoria, Australia
| | - Zhuo-Ting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Xue-Li Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong Province, China
| | - Shu-Lin Tang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Zong-Yuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne 3080, Victoria, Australia
| | - Xiao-Hong Yang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Ming-Guang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong Province, China
- Department of Ophthalmic Epidemiology, Centre for Eye Research Australia, Melbourne 3002, Victoria, Australia
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Sha F, Li H, Zhang L, Liang F. Evidence for Genetic Causal Relationships Between Multiple Immune-Mediated Inflammatory Diseases and Age-Related Macular Degeneration: A Univariable and Multivariable Mendelian Randomization Study. Ophthalmol Ther 2024; 13:955-967. [PMID: 38315350 PMCID: PMC10912070 DOI: 10.1007/s40123-024-00895-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/19/2024] [Indexed: 02/07/2024] Open
Abstract
INTRODUCTION With the global aging population on the rise, age-related macular degeneration (AMD) poses a growing healthcare burden. Prior research hints at immune-mediated inflammatory diseases (IMIDs) potentially elevating AMD risk via diverse mechanisms. However, causality remains disputed as a result of confounding factors. Hence, our Mendelian randomization (MR) study aims to untangle this link, mitigating confounding effects to explore the IMID-AMD causal relationship. This study aims to investigate the causal relationship between IMIDs and AMD, providing new strategies for the prevention and treatment of AMD in clinical practice. METHODS This study was registered with PROSPERO, CRD42023469815. We obtained data on IMIDs and AMD from Genome-Wide Association Studies (GWAS) summary statistics and the FinnGen consortium. Rigorous selection steps were applied to screen for eligible instrumental single nucleotide polymorphisms (SNPs). We conducted univariate Mendelian randomization, inverse variance-weighted (IVW), weighted median, Mendelian randomization-Egger (MR-Egger), and multivariate Mendelian randomization (MVMR) analyses. Various sensitivity analysis methods were employed to assess pleiotropy and heterogeneity. The aim was to explore the causal relationships between IMIDs and AMD. RESULTS The MR analysis revealed that Crohn's disease (CD) (IVW: odd ratios (OR) 1.05, 95% CI (confidence interval) 1.01-1.10, p = 0.007), rheumatoid arthritis (RA) (IVW: OR 1.09, 95% CI 1.04-1.15, p = 0.0001), and type 1 diabetes (T1D) (IVW: OR 1.05, 95% CI 1.02-1.09, p = 0.001) were correlated with an elevated risk of AMD, while multiple sclerosis (MS) (IVW: OR 2.78E-18, 95% CI 2.23E-31 to 3.48E-05, p = 0.008) appeared to be protective against AMD. These findings were supported by an array of MR analysis methodologies and the MVMR approach. CONCLUSION Our study results, based on MR, provide genetic evidence indicating a causal relationship between specific IMIDs and AMD. CD, RA, and T1D are factors increasing the risk of AMD, while MS may have a protective effect.
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Affiliation(s)
- Fuhui Sha
- The First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Hongmei Li
- The First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Longyao Zhang
- The First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Fengming Liang
- Eye School of Chengdu, University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
- Key Laboratory of Sichuan Province Ophthalmopathy Prevention and Cure and Visual Function Protection with Traditional Chinese Medicine Laboratory, Chengdu, Sichuan Province, China.
- Retinal Image Technology and Chronic Vascular Disease Prevention and Control and Collaborative Innovation Center, Chengdu, Sichuan Province, China.
- Ineye Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
- Sichuan Integrated Traditional Chinese and Western Medicine Myopia Prevention and Treatment Center, Sichuan Vision Protection Science Popularization Base, Chengdu, Sichuan Province, China.
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11
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Han JED, Subramanian A, Lee WH, Coker J, Denniston AK, Nirantharakumar K, Adderley NJ. Association of sildenafil use with age-related macular degeneration: a retrospective cohort study. BMJ Open Ophthalmol 2024; 9:e001525. [PMID: 38490689 PMCID: PMC10946355 DOI: 10.1136/bmjophth-2023-001525] [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: 10/05/2023] [Accepted: 03/06/2024] [Indexed: 03/17/2024] Open
Abstract
OBJECTIVE Despite significant advances in clinical care and understanding of the underlying pathophysiology, age-related macular degeneration (AMD)-a major cause of global blindness-lacks effective treatment to prevent the irreversible degeneration of photoreceptors leading to central vision loss. Limited studies suggest phosphodiesterase type 5 (PDE5) inhibitors, such as sildenafil, may prevent AMD by increasing retinal blood flow. This study explores the potential association between sildenafil use and AMD risk in men with erectile dysfunction using UK data. METHODS AND ANALYSIS Using the UK's IQVIA Medical Research Data, the study analysed 31 575 men prescribed sildenafil for erectile dysfunction and no AMD history from 2007 to 2015, matched with a comparator group of 62 155 non-sildenafil users in a 1:2 ratio, over a median follow-up of approximately three years. RESULTS The primary outcome was the incidence of AMD in the two groups. The study found no significant difference in AMD incidence between the sildenafil users and the non-users, with an adjusted hazard ratio (HR) of 0.99 (95% CI 0.84 to 1.16), after accounting for confounders such as age, ethnicity, Townsend deprivation quintile, body mass index category, and diagnosis of hypertension and type 2 diabetes. CONCLUSION The study results indicated no significant association between sildenafil use and AMD prevention in UK men with erectile dysfunction, suggesting sildenafil's protective effect on AMD is likely insignificant.
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Affiliation(s)
- Ji Eun Diana Han
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | | | - Wen Hwa Lee
- Action Against Age-Related Macular Degeneration, London, UK
| | - Jesse Coker
- Action Against Age-Related Macular Degeneration, London, UK
| | - Alastair K Denniston
- Department of Ophthalmology, University Hospitals Birmingham NHSFT, Birmingham, UK
- Moorfields Eye Hospital NHS Foundation Trust and Institute of Ophthalmology, University College London, London, UK
- Health Data Research UK (HDRUK), London, UK
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, Birmingham, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Health Data Research UK (HDRUK), London, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, Birmingham, UK
| | - Nicola Jaime Adderley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, Birmingham, UK
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12
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Khanna S, Shaw L, Hyman MJ, Zhang J, Hariprasad S, Soo J, Flores A, Skondra D. ASSOCIATION OF METFORMIN USE WITH RISK OF NEWLY ONSET NEOVASCULAR AGE-RELATED MACULAR DEGENERATION DEVELOPMENT. Retina 2024; 44:205-213. [PMID: 38259182 DOI: 10.1097/iae.0000000000003968] [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: 10/25/2022] [Accepted: 10/03/2023] [Indexed: 01/24/2024]
Abstract
PURPOSE To investigate if metformin use reduces the odds of developing new neovascular AMD (nAMD). METHODS This is a case-control study of 86,930 subjects with new diagnoses of nAMD and 86,918 matched control subjects using the Merative Marketscan Research Databases. Subjects were analyzed using multivariable conditional logistic regression to identify the risks of various exposures on developing nAMD. A subgroup analysis of 22,117 diabetic cases and 21,616 diabetic control subjects was also performed. RESULTS Metformin use was associated with reduced odds ratio of developing nAMD (odds ratio 0.95, 95% confidence interval 0.91-0.98) in full sample and diabetic cohort particularly in patients without any diabetic retinopathy-an effect that persisted after Bonferroni correction. In the diabetic cohort without diabetic retinopathy, reduced odds ratio was observed at 24-month cumulative doses of 1 to 300 g, 301 to 630 g, and 631 to 1,080 g. CONCLUSION Metformin use was associated with reduced odds ratio of nAMD, particularly in patients without diabetic retinopathy. The protective effect was noted for 24-month cumulative doses below 1,080 g. Metformin may be a novel preventive strategy for nAMD.
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Affiliation(s)
- Saira Khanna
- Department of Ophthalmology & Visual Science, University of Chicago Pritzker School of Medicine, Chicago, Illinois
- The Retina Institute, St. Louis, Missouri; and
| | - Lincoln Shaw
- Department of Ophthalmology & Visual Science, University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | - Max J Hyman
- Division of the Biological Sciences, University of Chicago, Chicago, Illinois
| | - Jason Zhang
- Department of Ophthalmology & Visual Science, University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | - Seenu Hariprasad
- Department of Ophthalmology & Visual Science, University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | - Jackie Soo
- Division of the Biological Sciences, University of Chicago, Chicago, Illinois
| | - Andrea Flores
- Division of the Biological Sciences, University of Chicago, Chicago, Illinois
| | - Dimitra Skondra
- Department of Ophthalmology & Visual Science, University of Chicago Pritzker School of Medicine, Chicago, Illinois
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13
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Chen R, Xu S, Ding Y, Li L, Huang C, Bao M, Li S, Wang Q. Dissecting causal associations of type 2 diabetes with 111 types of ocular conditions: a Mendelian randomization study. Front Endocrinol (Lausanne) 2023; 14:1307468. [PMID: 38075077 PMCID: PMC10703475 DOI: 10.3389/fendo.2023.1307468] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 10/27/2023] [Indexed: 12/18/2023] Open
Abstract
Background Despite the well-established findings of a higher incidence of retina-related eye diseases in patients with diabetes, there is less investigation into the causal relationship between diabetes and non-retinal eye conditions, such as age-related cataracts and glaucoma. Methods We performed Mendelian randomization (MR) analysis to examine the causal relationship between type 2 diabetes mellitus (T2DM) and 111 ocular diseases. We employed a set of 184 single nucleotide polymorphisms (SNPs) that reached genome-wide significance as instrumental variables (IVs). The primary analysis utilized the inverse variance-weighted (IVW) method, with MR-Egger and weighted median (WM) methods serving as supplementary analyses. Results The results revealed suggestive positive causal relationships between T2DM and various ocular conditions, including "Senile cataract" (OR= 1.07; 95% CI: 1.03, 1.11; P=7.77×10-4), "Glaucoma" (OR= 1.08; 95% CI: 1.02, 1.13; P=4.81×10-3), and "Disorders of optic nerve and visual pathways" (OR= 1.10; 95% CI: 0.99, 1.23; P=7.01×10-2). Conclusion Our evidence supports a causal relationship between T2DM and specific ocular disorders. This provides a basis for further research on the importance of T2DM management and prevention strategies in maintaining ocular health.
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Affiliation(s)
- Rumeng Chen
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Shuling Xu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Yining Ding
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Leyang Li
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chunxia Huang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Meihua Bao
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
- Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China
| | - Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Qiuhong Wang
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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14
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Huang KH, Chang YL, Lee CB, Gau SY, Tsai TH, Chung NJ, Lee CY. Dose-response association of metformin use and risk of age-related macular degeneration among patients with type 2 diabetes mellitus: a population-based study. Front Pharmacol 2023; 14:1275095. [PMID: 38074151 PMCID: PMC10710142 DOI: 10.3389/fphar.2023.1275095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/10/2023] [Indexed: 09/23/2024] Open
Abstract
Background: Recent studies have demonstrated that patients with type 2 diabetes mellitus (T2DM) who receive metformin have a decreased risk of developing age-related macular degeneration (AMD). However, other studies have also suggested that metformin may increase the risk of AMD development. Therefore, this study investigated the association between treatment with metformin and the risk of AMD in patients with T2DM by using Taiwan' National Health Insurance Research Database. Methods: Patients who received a diagnosis of new-onset T2DM between 2002 and 2013 were enrolled in this study. The patients were divided into patients treated and not treated with metformin to evaluate the risk of AMD after 5 years of follow-up. The logistic regression was used to estimate the risk of AMD associated with the intensity of treatment with metformin. Result: A total of 7 517 patients (103.16 patients per 10,000 people) developed AMD in 5 years after DM diagnosis. After adjusting for the relevant variables, patients with T2DM treated with <5 defined daily dose (DDD)/month of metformin had a lower risk of AMD (odds ratios [OR]: 0.93; 95% confidence interval [CI]: 0.88 0.99). Patients treated with >25 DDD/month of metformin had a higher risk of AMD (OR: 1.39; 95% CI: 1.08-1.78). Conclusion: Metformin use may be associated with a risk of AMD among patients with T2DM in a dose-dependent association manner, with the greater benefit at lower DDD/month. However, higher DDD/month exhibited an increased risk of AMD.
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Affiliation(s)
- Kuang-Hua Huang
- Department of Health Services Administration, China Medical University, Taichung, Taiwan
| | - Ya-Lan Chang
- Department of Pharmacology, Chung Shan Medical University, Taichung, Taiwan
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chiachi Bonnie Lee
- Department of Health Services Administration, China Medical University, Taichung, Taiwan
| | - Shuo-Yan Gau
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Tung-Han Tsai
- Department of Health Services Administration, China Medical University, Taichung, Taiwan
| | - Ning-Jen Chung
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Chien-Ying Lee
- Department of Pharmacology, Chung Shan Medical University, Taichung, Taiwan
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung, Taiwan
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15
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Attia SA, Truong AT, Phan A, Lee SJ, Abanmai M, Markanovic M, Avila H, Luo H, Ali A, Sreekumar PG, Kannan R, MacKay JA. αB-Crystallin Peptide Fused with Elastin-like Polypeptide: Intracellular Activity in Retinal Pigment Epithelial Cells Challenged with Oxidative Stress. Antioxidants (Basel) 2023; 12:1817. [PMID: 37891896 PMCID: PMC10604459 DOI: 10.3390/antiox12101817] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Oxidative stress-induced retinal degeneration is among the main contributing factors of serious ocular pathologies that can lead to irreversible blindness. αB-crystallin (cry) is an abundant component of the visual pathway in the vitreous humor, which modulates protein and cellular homeostasis. Within this protein exists a 20 amino acid fragment (mini-cry) with both chaperone and antiapoptotic activity. This study fuses this mini-cry peptide to two temperature-sensitive elastin-like polypeptides (ELP) with the goal of prolonging its activity in the retina. METHODS The biophysical properties and chaperone activity of cry-ELPs were confirmed by mass spectrometry, cloud-point determination, and dynamic light scattering 'DLS'. For the first time, this work compares a simpler ELP architecture, cry-V96, with a previously reported ELP diblock copolymer, cry-SI. Their relative mechanisms of cellular uptake and antiapoptotic potential were tested using retinal pigment epithelial cells (ARPE-19). Oxidative stress was induced with H2O2 and comparative internalization of both cry-ELPs was made using 2D and 3D culture models. We also explored the role of lysosomal membrane permeabilization by confocal microscopy. RESULTS The results indicated successful ELP fusion, cellular association with both 2D and 3D cultures, which were enhanced by oxidative stress. Both constructs suppressed apoptotic signaling (cleaved caspase-3); however, cry-V96 exhibited greater lysosomal escape. CONCLUSIONS ELP architecture is a critical factor to optimize delivery of therapeutic peptides, such as the anti-apoptotic mini-cry peptide; furthermore, the protection of mini-cry via ELPs is enhanced by lysosomal membrane permeabilization.
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Affiliation(s)
- Sara Aly Attia
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | - Anh Tan Truong
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | - Alvin Phan
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | - Shin-Jae Lee
- Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA;
| | - Manal Abanmai
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al Kharj 11942, Saudi Arabia
| | - Marinella Markanovic
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | - Hugo Avila
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | - Haozhong Luo
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | - Atham Ali
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
| | | | - Ram Kannan
- Doheny Eye Institute, Pasadena, CA 91103, USA; (P.G.S.); (R.K.)
- Stein Eye Institute, Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - J. Andrew MacKay
- Department of Pharmacology and Pharmaceutical Sciences, Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA; (S.A.A.); (A.T.T.); (A.P.); (M.A.); (M.M.); (H.A.); (H.L.); (A.A.)
- Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA;
- Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
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16
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Nordestgaard LT, Christoffersen M, Afzal S, Nordestgaard BG, Tybjærg-Hansen A, Frikke-Schmidt R. Genetic variants in the adenosine triphosphate-binding cassette transporter A1 and risk of age-related macular degeneration. Eur J Epidemiol 2023; 38:985-994. [PMID: 37335386 PMCID: PMC10501952 DOI: 10.1007/s10654-023-01021-4] [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: 12/14/2022] [Accepted: 05/25/2023] [Indexed: 06/21/2023]
Abstract
Genetic variants in ABCA1 are associated with higher concentrations of high-density lipoprotein (HDL) cholesterol. Higher HDL cholesterol concentrations are observationally and genetically associated with higher risk of age-related macular degeneration (AMD). However, whether amino acid-changing genetic variants in ABCA1 associated with high HDL cholesterol concentrations confer a higher risk of AMD in the general population is currently unknown. We tested this hypothesis. The study included 80,972 individuals (1,370 AMD cases) from the Copenhagen General Population Study (CGPS) and 9,584 individuals (142 AMD cases) from the Copenhagen City Heart Study (CCHS) with 10 to 18 years of follow-up. We created an HDL cholesterol weighted allele score based on amino acid-changing ABCA1 variants with a minor allele frequency above 0.001 and divided it into tertiles. The study included 55% women. Mean age was 58 years. The ABCA1 allele score for the third versus the first tertile was associated with HRs (95% confidence intervals (CIs)) of 1.30 (1.14-1.49) for all-cause AMD, 1.26 (1.06-1.50) for nonneovascular AMD, and 1.31 (1.12-1.53) for neovascular AMD in a multivariable adjusted model. On a continuous scale, higher concentrations of genetically determined HDL cholesterol were associated with higher risk of all-cause AMD, nonneovascular AMD, and neovascular AMD in an age- and sex adjusted model and in a multivariable adjusted model. In conclusion, amino acid-changing genetic variants in ABCA1 associated with higher HDL cholesterol concentrations were also associated with higher risk of AMD, suggesting a role for ABCA1 in AMD pathogenesis.
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Affiliation(s)
- Liv Tybjærg Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Mette Christoffersen
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Shoaib Afzal
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge Grønne Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- The Copenhagen City Heart Study, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- The Copenhagen City Heart Study, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark.
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17
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Amini MA, Karbasi A, Vahabirad M, Khanaghaei M, Alizamir A. Mechanistic Insight into Age-Related Macular Degeneration (AMD): Anatomy, Epidemiology, Genetics, Pathogenesis, Prevention, Implications, and Treatment Strategies to Pace AMD Management. Chonnam Med J 2023; 59:143-159. [PMID: 37840684 PMCID: PMC10570864 DOI: 10.4068/cmj.2023.59.3.143] [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: 07/07/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 10/17/2023] Open
Abstract
One of the most complicated eye disorders is age-related macular degeneration (AMD) which is the leading cause of irremediable blindness all over the world in the elderly. AMD is classified as early stage to late stage (advanced AMD), in which this stage is divided into the exudative or neovascular form (wet AMD) and the nonexudative or atrophic form (dry AMD). Clinically, AMD primarily influences the central area of retina known as the macula. Importantly, the wet form is generally associated with more severe vision loss. AMD has a systemic component, where many factors, like aging, genetic, environment, autoimmune and non-autoimmune disorders are associated with this disease. Additionally, healthy lifestyles, regular exercise, maintaining a normal lipid profile and weight are crucial to decreasing the risk of AMD. Furthermore, therapeutic strategies for limiting AMD should encompass a variety of factors to avoid and improve drug interventions, and also need to take into account personalized genetic information. In conclusion, with the development of technology and research progress, visual impairment and legal blindness from AMD have been substantially reduced in incidence. This review article is focused on identifying and developing the knowledge about the association between genetics, and etiology with AMD. We hope that this review will encourage researchers and lecturers, open new discussions, and contribute to a better understanding of AMD that improves patients' visual acuity, and upgrades the quality of life of AMD patients.
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Affiliation(s)
- Mohammad Amin Amini
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ashkan Karbasi
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mohammad Vahabirad
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Masoud Khanaghaei
- Department of Laboratory Sciences, Sirjan Faculty of Medical Sciences, Sirjan, Iran
| | - Aida Alizamir
- Department of Pathology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
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18
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Ganesh D, Chiang JN, Corradetti G, Zaitlen N, Halperin E, Sadda SR. Effect of statins on the age of onset of age-related macular degeneration. Graefes Arch Clin Exp Ophthalmol 2023; 261:2245-2255. [PMID: 36917316 DOI: 10.1007/s00417-023-06017-0] [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: 07/25/2022] [Revised: 02/06/2023] [Accepted: 02/11/2023] [Indexed: 03/15/2023] Open
Abstract
BACKGROUND This study evaluated the relationship between statin use and the age of onset of age-related macular degeneration (AMD). METHODS Electronic Health Records from 52,840 patients evaluated at University of California Los Angeles (UCLA) Ophthalmology Clinics and 9,977 patients evaluated at University of California San Francisco (UCSF) Ophthalmology Clinics were screened. Survival analysis was performed using Cox proportional hazards regression models and visualized using Kaplan Meier survival curves, with the following covariates-sex, ethnicity, smoking history, fluoxetine use, obesity, diabetes mellitus, and hypertension. RESULTS 5,498 of 52,840 patients at UCLA were diagnosed with AMD. Statin use was associated with a later AMD onset (HR = 0.8823, p < 0.0001), while female sex (HR = 1.0852, p= 00,035), obesity (HR = 1.4555, p < 0.0001), and fluoxetine (HR = 1.3797, p= 0.0003) were associated with an earlier AMD onset. Non-hispanic black (HR = 0.5687, p < 0.0001) and hispanic ethnicities (HR = 0.8269, p= 0.0028) were associated with a later AMD onset. When stratifying for ethnicity, statins, fluoxetine, sex, and obesity were significant only within non-hispanic white subjects. Statin use was significant among patients with dry AMD (HR = 0.8410, p= 0.0001) but not wet AMD (0.9188, p= 0.0351). In the replication cohort, 526 of 9,977 patients at UCSF had AMD. Associations between statins (HR = 0.7643, p= 0.0033), non-hispanic black ethnicity (HR = 0.5043, p= 0.0035), and obesity (HR = 1.9602, p < 0.0001) on AMD onset were confirmed. CONCLUSIONS In both cohorts, statin use and non-hispanic black ethnicity are associated with a later AMD onset, while obesity with an earlier AMD onset.
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Affiliation(s)
- Durga Ganesh
- David Geffen School of Medicine, University of California - Los Angeles, Los Angeles, CA, USA
- Doheny Eye Institute, Pasadena, CA, USA
| | - Jeffrey N Chiang
- Department of Computational Medicine, University of California - Los Angeles, Los Angeles, CA, USA
| | - Giulia Corradetti
- Doheny Eye Institute, Pasadena, CA, USA
- Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Noah Zaitlen
- Department of Computational Medicine, University of California - Los Angeles, Los Angeles, CA, USA
- Department of Neurology, University of California - Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California - Los Angeles, Los Angeles, CA, USA
| | - Eran Halperin
- Department of Computational Medicine, University of California - Los Angeles, Los Angeles, CA, USA
- Department of Neurology, University of California - Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California - Los Angeles, Los Angeles, CA, USA
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
- Department of Anesthesiology, David Geffen School of Medicine at University of California - Los Angeles, Los Angeles, CA, USA
- Institute of Precision Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Srinivas R Sadda
- Doheny Eye Institute, Pasadena, CA, USA.
- Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
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19
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Khan J, Shaw S. Risk of cataract and glaucoma among older persons with diabetes in India: a cross-sectional study based on LASI, Wave-1. Sci Rep 2023; 13:11973. [PMID: 37488196 PMCID: PMC10366202 DOI: 10.1038/s41598-023-38229-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 07/05/2023] [Indexed: 07/26/2023] Open
Abstract
According to the International Diabetes Federation-2019 estimates, India is home to 77 million diabetic individuals which is projected to grow up to 147.2 million by 2045. Diabetes being a progressive health disorder leads to multiple morbidities and complications including eye diseases and visual impairments. As the burden of diabetes mellitus is increasing, eye problems like cataracts and glaucoma are commonly cited problems among the older adults. In this context, this study aims to provide the public health evidences on diabetes associated burden and risk of developing cataracts and glaucoma among older adults aged 60 and above in India. The analytical sample of this cross-sectional study comprised of 31,464 individuals aged 60 and above. Bivariate cross-tabulation and chi-square test were performed to understand the differential in the prevalence of cataracts and glaucoma by diabetes mellitus including the socio-economic and demographic characteristics of the individuals. Binary logistic regression estimation was executed to estimate the adjusted odds ratio for each of the outcome variables within a multivariate framework. The cataract problem affects more than one-fifth of the older people, while glaucoma affects 2% of them. The prevalence of cataract and glaucoma is 29% among diabetic older adults compared to 22% among non-diabetic persons. In terms of gender, the cataract prevalence is comparatively higher among females (25%) than males (21%). It is important to note that while adjusting for socio-economic and demographic characteristics, the likelihood of cataract (AOR 1.495; p-value < 0.01) and glaucoma (AOR 1.554; p-value < 0.01) is significantly higher among older adults with diabetes than among their counterparts. Medical practitioners should conduct prognosis for diabetic eye problems among patients and raise awareness about the potential risks of developing vision loss, such as cataracts and glaucoma, which are more prevalent among individuals with diabetes.
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Affiliation(s)
- Junaid Khan
- Department of Population and Development, International Institute for Population Sciences, Mumbai, India
| | - Subhojit Shaw
- Department of Population and Development, International Institute for Population Sciences, Mumbai, India.
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20
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Hwang S, Kang SW, Kim SJ, Lee KN, Han K, Lim DH. Diabetes-Related Risk Factors for Exudative Age-Related Macular Degeneration: A Nationwide Cohort Study of a Diabetic Population. Invest Ophthalmol Vis Sci 2023; 64:10. [PMID: 37432847 DOI: 10.1167/iovs.64.10.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023] Open
Abstract
Purpose The purpose of this study was to identify diabetes-related risk factors for exudative age-related macular degeneration (AMD). Methods This was a nationwide population-based cohort study using authorized clinical data provided by the Korean National Health Insurance Service. A total of 1,768,018 participants with diabetes over 50 years of age participated in the Korean National Health Screening Program between 2009 and 2012. Data on covariates, including age, sex, income level, systemic comorbidities, behavioral factors, and diabetes-related parameters, including duration of diabetes, use of insulin for diabetes control, number of oral hypoglycemic agents used, and accompanying vision-threatening diabetic retinopathy, were collected from health screening results and claims data. Patients were followed up until December 2018. Incident cases of exudative AMD were identified using registered diagnostic codes from the claims data. The prospective association of diabetes-related parameters with incident exudative AMD was investigated using the multivariable-adjusted Cox proportional hazard model. Results During an average follow-up period of 5.93 years, 7331 patients were newly diagnosed with exudative AMD. Compared to those who had diabetes for less than 5 years, individuals with diabetes for 5 years or more had a greater risk of future exudative AMD development, with a hazard ratio (95% confidence interval) of 1.13 (1.07-1.18) in the fully adjusted model. Use of insulin for diabetes control and the presence of vision-threatening diabetic retinopathy were also associated with an increased risk of exudative AMD with a hazard ratio (95% confidence interval) of 1.16 (1.07-1.25) and 1.40 (1.23-1.61), respectively. Conclusions A longer duration of diabetes, administration of insulin for diabetes control, and comorbid vision-threatening diabetic retinopathy were associated with an increased risk of developing exudative AMD.
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Affiliation(s)
- Sungsoon Hwang
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
| | - Se Woong Kang
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Jin Kim
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyu Na Lee
- Department of Biomedicine and Health Science, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Dong Hui Lim
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
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21
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Riazi Esfahani P, Reddy AJ, Thomas J, Sommer DA, Nguyen A, Farasat V, Nawathey N, Bachir A, Brahmbhatt T, Patel R. An Analysis of the Usage of Retinal Imaging Technology in the Detection of Age-Related Macular Degeneration. Cureus 2023; 15:e40527. [PMID: 37461783 PMCID: PMC10350318 DOI: 10.7759/cureus.40527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2023] [Indexed: 07/20/2023] Open
Abstract
Age-related macular degeneration (AMD) is a disease that worsens the central vision of numerous individuals across the globe. Ensuring that patients are diagnosed accurately and that their symptoms are carefully monitored is essential to ensure that adequate care is delivered. To accomplish this objective, retinal imaging technology is necessary to assess the pathophysiology that is required to give an accurate diagnosis of AMD. The purpose of this review is to assess the ability of various retinal imaging technologies such as optical coherence tomography (OCT), color fundus retinal photography, fluorescein angiography, and fundus photography. The statistical methods that were conducted yielded results that suggested that using OCT in conjunction with other imaging technologies results in a higher detection of symptoms among patients that have AMD. Further investigation should be conducted to ascertain the validity of the conclusions that were stated within the review.
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Affiliation(s)
- Parsa Riazi Esfahani
- Department of Medicine, California University of Science and Medicine, Colton, USA
| | - Akshay J Reddy
- Department of Medicine, California University of Science and Medicine, Colton, USA
| | - Jack Thomas
- Department of Medicine, California University of Science and Medicine, Colton, USA
| | - Dillon A Sommer
- Department of Medicine, California University of Science and Medicine, Colton, USA
| | - Anna Nguyen
- Department of Medicine, California University of Science and Medicine, Colton, USA
| | | | - Neel Nawathey
- Department of Health Sciences, California Northstate University, Rancho Cordova, USA
| | - Alex Bachir
- Department of Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA
| | - Telak Brahmbhatt
- Department of Health Sciences, California Northstate University, Rancho Cordova, USA
| | - Rakesh Patel
- Department of Internal Medicine, East Tennessee State University Quillen College of Medicine, Johnson City, USA
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22
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Feofanova EV, Brown MR, Alkis T, Manuel AM, Li X, Tahir UA, Li Z, Mendez KM, Kelly RS, Qi Q, Chen H, Larson MG, Lemaitre RN, Morrison AC, Grieser C, Wong KE, Gerszten RE, Zhao Z, Lasky-Su J, Yu B. Whole-Genome Sequencing Analysis of Human Metabolome in Multi-Ethnic Populations. Nat Commun 2023; 14:3111. [PMID: 37253714 PMCID: PMC10229598 DOI: 10.1038/s41467-023-38800-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/16/2023] [Indexed: 06/01/2023] Open
Abstract
Circulating metabolite levels may reflect the state of the human organism in health and disease, however, the genetic architecture of metabolites is not fully understood. We have performed a whole-genome sequencing association analysis of both common and rare variants in up to 11,840 multi-ethnic participants from five studies with up to 1666 circulating metabolites. We have discovered 1985 novel variant-metabolite associations, and validated 761 locus-metabolite associations reported previously. Seventy-nine novel variant-metabolite associations have been replicated, including three genetic loci located on the X chromosome that have demonstrated its involvement in metabolic regulation. Gene-based analysis have provided further support for seven metabolite-replicated loci pairs and their biologically plausible genes. Among those novel replicated variant-metabolite pairs, follow-up analyses have revealed that 26 metabolites have colocalized with 21 tissues, seven metabolite-disease outcome associations have been putatively causal, and 7 metabolites might be regulated by plasma protein levels. Our results have depicted the genetic contribution to circulating metabolite levels, providing additional insights into understanding human disease.
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Affiliation(s)
- Elena V Feofanova
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - Michael R Brown
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - Taryn Alkis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - Astrid M Manuel
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xihao Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Usman A Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Zilin Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kevin M Mendez
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, USA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Han Chen
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | | | | | - Robert E Gerszten
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Zhongming Zhao
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Bing Yu
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA.
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23
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Domalpally A, Whittier SA, Pan Q, Dabelea DM, Darwin CH, Knowler WC, Lee CG, Luchsinger JA, White NH, Chew EY, Gadde KM, Culbert IW, Arceneaux J, Chatellier A, Dragg A, Champagne CM, Duncan C, Eberhardt B, Greenway F, Guillory FG, Herbert AA, Jeffirs ML, Kennedy BM, Levy E, Lockett M, Lovejoy JC, Morris LH, Melancon LE, Ryan DH, Sanford DA, Smith KG, Smith LL, St.Amant JA, Tulley RT, Vicknair PC, Williamson D, Zachwieja JJ, Polonsky KS, Tobian J, Ehrmann DA, Matulik MJ, Temple KA, Clark B, Czech K, DeSandre C, Dotson B, Hilbrich R, McNabb W, Semenske AR, Caro JF, Furlong K, Goldstein BJ, Watson PG, Smith KA, Mendoza J, Simmons M, Wildman W, Liberoni R, Spandorfer J, Pepe C, Donahue RP, Goldberg RB, Prineas R, Calles J, Giannella A, Rowe P, Sanguily J, Cassanova-Romero P, Castillo-Florez S, Florez HJ, Garg R, Kirby L, Lara O, Larreal C, McLymont V, Mendez J, Perry A, Saab P, Veciana B, Haffner SM, Hazuda HP, Montez MG, Hattaway K, Isaac J, Lorenzo C, Martinez A, Salazar M, Walker T, Hamman RF, Nash PV, Steinke SC, Testaverde L, Truong J, Anderson DR, Ballonoff LB, Bouffard A, Bucca B, Calonge BN, Delve L, Farago M, Hill JO, Hoyer SR, Jenkins T, Jortberg BT, Lenz D, Miller M, Nilan T, Perreault L, Price DW, Regensteiner JG, Schroeder EB, Seagle H, Smith CM, VanDorsten B, Horton ES, Munshi M, Lawton KE, Jackson SD, Poirier CS, Swift K, Arky RA, Bryant M, Burke JP, Caballero E, Callaphan KM, Fargnoli B, Franklin T, Ganda OP, Guidi A, Guido M, Jacobsen AM, Kula LM, Kocal M, Lambert L, Ledbury S, Malloy MA, Middelbeek RJ, Nicosia M, Oldmixon CF, Pan J, Quitingon M, Rainville R, Rubtchinsky S, Seely EW, Sansoucy J, Schweizer D, Simonson D, Smith F, Solomon CG, Spellman J, Warram J, Kahn SE, Fattaleh B, Montgomery BK, Colegrove C, Fujimoto W, Knopp RH, Lipkin EW, Marr M, Morgan-Taggart I, Murillo A, O’Neal K, Trence D, Taylor L, Thomas A, Tsai EC, Dagogo-Jack S, Kitabchi AE, Murphy ME, Taylor L, Dolgoff J, Applegate WB, Bryer-Ash M, Clark D, Frieson SL, Ibebuogu U, Imseis R, Lambeth H, Lichtermann LC, Oktaei H, Ricks H, Rutledge LM, Sherman AR, Smith CM, Soberman JE, Williams-Cleaves B, Patel A, Nyenwe EA, Hampton EF, Metzger BE, Molitch ME, Johnson MK, Adelman DT, Behrends C, Cook M, Fitzgibbon M, Giles MM, Heard D, Johnson CK, Larsen D, Lowe A, Lyman M, McPherson D, Penn SC, Pitts T, Reinhart R, Roston S, Schinleber PA, Wallia A, Nathan DM, McKitrick C, Turgeon H, Larkin M, Mugford M, Abbott K, Anderson E, Bissett L, Bondi K, Cagliero E, Florez JC, Delahanty L, Goldman V, Grassa E, Gurry L, D’Anna K, Leandre F, Lou P, Poulos A, Raymond E, Ripley V, Stevens C, Tseng B, Olefsky JM, Barrett-Connor E, Mudaliar S, Araneta MR, Carrion-Petersen ML, Vejvoda K, Bassiouni S, Beltran M, Claravall LN, Dowden JM, Edelman SV, Garimella P, Henry RR, Horne J, Lamkin M, Janesch SS, Leos D, Polonsky W, Ruiz R, Smith J, Torio-Hurley J, Pi-Sunyer FX, Lee JE, Hagamen S, Allison DB, Agharanya N, Aronoff NJ, Baldo M, Crandall JP, Foo ST, Luchsinger JA, Pal C, Parkes K, Pena MB, Rooney ES, Van Wye GE, Viscovich KA, de Groot M, Marrero DG, Mather KJ, Prince MJ, Kelly SM, Jackson MA, McAtee G, Putenney P, Ackermann RT, Cantrell CM, Dotson YF, Fineberg ES, Fultz M, Guare JC, Hadden A, Ignaut JM, Kirkman MS, Phillips EO, Pinner KL, Porter BD, Roach PJ, Rowland ND, Wheeler ML, Aroda V, Magee M, Ratner RE, Youssef G, Shapiro S, Andon N, Bavido-Arrage C, Boggs G, Bronsord M, Brown E, Love Burkott H, Cheatham WW, Cola S, Evans C, Gibbs P, Kellum T, Leon L, Lagarda M, Levatan C, Lindsay M, Nair AK, Park J, Passaro M, Silverman A, Uwaifo G, Wells-Thayer D, Wiggins R, Saad MF, Watson K, Budget M, Jinagouda S, Botrous M, Sosa A, Tadros S, Akbar K, Conzues C, Magpuri P, Ngo K, Rassam A, Waters D, Xapthalamous K, Santiago JV, Brown AL, Das S, Khare-Ranade P, Stich T, Santiago A, Fisher E, Hurt E, Jones T, Kerr M, Ryder L, Wernimont C, Golden SH, Saudek CD, Bradley V, Sullivan E, Whittington T, Abbas C, Allen A, Brancati FL, Cappelli S, Clark JM, Charleston JB, Freel J, Horak K, Greene A, Jiggetts D, Johnson D, Joseph H, Loman K, Mathioudakis N, Mosley H, Reusing J, Rubin RR, Samuels A, Shields T, Stephens S, Stewart KJ, Thomas L, Utsey E, Williamson P, Schade DS, Adams KS, Canady JL, Johannes C, Hemphill C, Hyde P, Atler LF, Boyle PJ, Burge MR, Chai L, Colleran K, Fondino A, Gonzales Y, Hernandez-McGinnis DA, Katz P, King C, Middendorf J, Rubinchik S, Senter W, Crandall J, Shamoon H, Brown JO, Trandafirescu G, Powell D, Adorno E, Cox L, Duffy H, Engel S, Friedler A, Goldstein A, Howard-Century CJ, Lukin J, Kloiber S, Longchamp N, Martinez H, Pompi D, Scheindlin J, Violino E, Walker EA, Wylie-Rosett J, Zimmerman E, Zonszein J, Orchard T, Venditti E, Wing RR, Jeffries S, Koenning G, Kramer MK, Smith M, Barr S, Benchoff C, Boraz M, Clifford L, Culyba R, Frazier M, Gilligan R, Guimond S, Harrier S, Harris L, Kriska A, Manjoo Q, Mullen M, Noel A, Otto A, Pettigrew J, Rockette-Wagner B, Rubinstein D, Semler L, Smith CF, Weinzierl V, Williams KV, Wilson T, Mau MK, Baker-Ladao NK, Melish JS, Arakaki RF, Latimer RW, Isonaga MK, Beddow R, Bermudez NE, Dias L, Inouye J, Mikami K, Mohideen P, Odom SK, Perry RU, Yamamoto RE, Anderson H, Cooeyate N, Dodge C, Hoskin MA, Percy CA, Enote A, Natewa C, Acton KJ, Andre VL, Barber R, Begay S, Bennett PH, Benson MB, Bird EC, Broussard BA, Bucca BC, Chavez M, Cook S, Curtis J, Dacawyma T, Doughty MS, Duncan R, Edgerton C, Ghahate JM, Glass J, Glass M, Gohdes D, Grant W, Hanson RL, Horse E, Ingraham LE, Jackson M, Jay P, Kaskalla RS, Kavena K, Kessler D, Kobus KM, Krakoff J, Kurland J, Manus C, McCabe C, Michaels S, Morgan T, Nashboo Y, Nelson JA, Poirier S, Polczynski E, Piromalli C, Reidy M, Roumain J, Rowse D, Roy RJ, Sangster S, Sewenemewa J, Smart M, Spencer C, Tonemah D, Williams R, Wilson C, Yazzie M, Bain R, Fowler S, Temprosa M, Larsen MD, Brenneman T, Edelstein SL, Abebe S, Bamdad J, Barkalow M, Bethepu J, Bezabeh T, Bowers A, Butler N, Callaghan J, Carter CE, Christophi C, Dwyer GM, Foulkes M, Gao Y, Gooding R, Gottlieb A, Grimes KL, Grover-Fairchild N, Haffner L, Hoffman H, Jablonski K, Jones S, Jones TL, Katz R, Kolinjivadi P, Lachin JM, Ma Y, Mucik P, Orlosky R, Reamer S, Rochon J, Sapozhnikova A, Sherif H, Stimpson C, Hogan Tjaden A, Walker-Murray F, Venditti EM, Kriska AM, Weinzierl V, Marcovina S, Aldrich FA, Harting J, Albers J, Strylewicz G, Eastman R, Fradkin J, Garfield S, Lee C, Gregg E, Zhang P, O’Leary D, Evans G, Budoff M, Dailing C, Stamm E, Schwartz A, Navy C, Palermo L, Rautaharju P, Prineas RJ, Alexander T, Campbell C, Hall S, Li Y, Mills M, Pemberton N, Rautaharju F, Zhang Z, Soliman EZ, Hu J, Hensley S, Keasler L, Taylor T, Blodi B, Danis R, Davis M, Hubbard* L, Endres** R, Elsas** D, Johnson** S, Myers** D, Barrett N, Baumhauer H, Benz W, Cohn H, Corkery E, Dohm K, Gama V, Goulding A, Ewen A, Hurtenbach C, Lawrence D, McDaniel K, Pak J, Reimers J, Shaw R, Swift M, Vargo P, Watson S, Manly J, Mayer-Davis E, Moran RR, Ganiats T, David K, Sarkin AJ, Groessl E, Katzir N, Chong H, Herman WH, Brändle M, Brown MB, Altshuler D, Billings LK, Chen L, Harden M, Knowler WC, Pollin TI, Shuldiner AR, Franks PW, Hivert MF. Association of Metformin With the Development of Age-Related Macular Degeneration. JAMA Ophthalmol 2023; 141:140-147. [PMID: 36547967 PMCID: PMC9936345 DOI: 10.1001/jamaophthalmol.2022.5567] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/29/2022] [Indexed: 12/24/2022]
Abstract
Importance Age-related macular degeneration (AMD) is a leading cause of blindness with no treatment available for early stages. Retrospective studies have shown an association between metformin and reduced risk of AMD. Objective To investigate the association between metformin use and age-related macular degeneration (AMD). Design, Setting, and Participants The Diabetes Prevention Program Outcomes Study is a cross-sectional follow-up phase of a large multicenter randomized clinical trial, Diabetes Prevention Program (1996-2001), to investigate the association of treatment with metformin or an intensive lifestyle modification vs placebo with preventing the onset of type 2 diabetes in a population at high risk for developing diabetes. Participants with retinal imaging at a follow-up visit 16 years posttrial (2017-2019) were included. Analysis took place between October 2019 and May 2022. Interventions Participants were randomly distributed between 3 interventional arms: lifestyle, metformin, and placebo. Main Outcomes and Measures Prevalence of AMD in the treatment arms. Results Of 1592 participants, 514 (32.3%) were in the lifestyle arm, 549 (34.5%) were in the metformin arm, and 529 (33.2%) were in the placebo arm. All 3 arms were balanced for baseline characteristics including age (mean [SD] age at randomization, 49 [9] years), sex (1128 [71%] male), race and ethnicity (784 [49%] White), smoking habits, body mass index, and education level. AMD was identified in 479 participants (30.1%); 229 (14.4%) had early AMD, 218 (13.7%) had intermediate AMD, and 32 (2.0%) had advanced AMD. There was no significant difference in the presence of AMD between the 3 groups: 152 (29.6%) in the lifestyle arm, 165 (30.2%) in the metformin arm, and 162 (30.7%) in the placebo arm. There was also no difference in the distribution of early, intermediate, and advanced AMD between the intervention groups. Mean duration of metformin use was similar for those with and without AMD (mean [SD], 8.0 [9.3] vs 8.5 [9.3] years; P = .69). In the multivariate models, history of smoking was associated with increased risks of AMD (odds ratio, 1.30; 95% CI, 1.05-1.61; P = .02). Conclusions and Relevance These data suggest neither metformin nor lifestyle changes initiated for diabetes prevention were associated with the risk of any AMD, with similar results for AMD severity. Duration of metformin use was also not associated with AMD. This analysis does not address the association of metformin with incidence or progression of AMD.
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Affiliation(s)
- Amitha Domalpally
- Wisconsin Reading Center, Department of Ophthalmology, University of Wisconsin School of Medicine and Public and Health, Madison
| | - Samuel A. Whittier
- Wisconsin Reading Center, Department of Ophthalmology, University of Wisconsin School of Medicine and Public and Health, Madison
| | - Qing Pan
- Department of Statistics, George Washington University, Washington, DC
| | - Dana M. Dabelea
- Department of Epidemiology, University of Colorado School of Public Health, Denver
| | - Christine H. Darwin
- Department of Medicine, Ronald Reagan UCLA Medical Center, Los Angeles, California
| | - William C. Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Christine G. Lee
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institutes of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Jose A. Luchsinger
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Neil H. White
- Division of Endocrinology & Diabetes, Department of Pediatrics, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Emily Y. Chew
- Division of Epidemiology and Clinical Applications–Clinical Trials Branch, National Eye Institute - National Institutes of Health, Bethesda, Maryland
| | | | | | | | | | | | - Amber Dragg
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Crystal Duncan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Frank Greenway
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Erma Levy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Monica Lockett
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Donna H. Ryan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Lisa L. Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Janet Tobian
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Bart Clark
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kirsten Czech
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Wylie McNabb
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Jose F. Caro
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kevin Furlong
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Jewel Mendoza
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marsha Simmons
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Wendi Wildman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Renee Liberoni
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Constance Pepe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Ronald Prineas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Anna Giannella
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Patricia Rowe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Rajesh Garg
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Olga Lara
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carmen Larreal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Jadell Mendez
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Arlette Perry
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Patrice Saab
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Bertha Veciana
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Kathy Hattaway
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Juan Isaac
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carlos Lorenzo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Monica Salazar
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tatiana Walker
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | | | - Brian Bucca
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - B. Ned Calonge
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lynne Delve
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Martha Farago
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - James O. Hill
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Tonya Jenkins
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Dione Lenz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marsha Miller
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Thomas Nilan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - David W. Price
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Helen Seagle
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Medha Munshi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Kati Swift
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ronald A. Arky
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Om P. Ganda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ashley Guidi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Mathew Guido
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Lyn M. Kula
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Margaret Kocal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lori Lambert
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sarah Ledbury
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Jocelyn Pan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Ellen W. Seely
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Dana Schweizer
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Fannie Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - James Warram
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Steven E. Kahn
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Basma Fattaleh
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Michelle Marr
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Anne Murillo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kayla O’Neal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dace Trence
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lonnese Taylor
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - April Thomas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Elaine C. Tsai
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mary E. Murphy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Laura Taylor
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Debra Clark
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Uzoma Ibebuogu
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Raed Imseis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Helen Lambeth
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Hooman Oktaei
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Harriet Ricks
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Amy R. Sherman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Clara M. Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Avnisha Patel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | - Michelle Cook
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Mimi M. Giles
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Deloris Heard
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Diane Larsen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Anne Lowe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Megan Lyman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Samsam C. Penn
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Thomas Pitts
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Renee Reinhart
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Roston
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Amisha Wallia
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Mary Larkin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Kathy Abbott
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ellen Anderson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Laurie Bissett
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kristy Bondi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Jose C. Florez
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Elaine Grassa
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lindsery Gurry
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kali D’Anna
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Peter Lou
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Elyse Raymond
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Valerie Ripley
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Beverly Tseng
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Karen Vejvoda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | - Javiva Horne
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marycie Lamkin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Diana Leos
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Rosa Ruiz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jean Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Jane E. Lee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Hagamen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Maria Baldo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Sandra T. Foo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Carmen Pal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kathy Parkes
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Mary Beth Pena
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Mary de Groot
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Susie M. Kelly
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Gina McAtee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Paula Putenney
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Megan Fultz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - John C. Guare
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Angela Hadden
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Kisha L Pinner
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Paris J. Roach
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Vanita Aroda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Michelle Magee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Sue Shapiro
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Natalie Andon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Susan Cola
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Cindy Evans
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Peggy Gibbs
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tracy Kellum
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lilia Leon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Milvia Lagarda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Asha K. Nair
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jean Park
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Gabriel Uwaifo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Renee Wiggins
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Karol Watson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Maria Budget
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Medhat Botrous
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Anthony Sosa
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sameh Tadros
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Khan Akbar
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Kathy Ngo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Amer Rassam
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Debra Waters
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Samia Das
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Tamara Stich
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ana Santiago
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Edwin Fisher
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Emma Hurt
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tracy Jones
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Michelle Kerr
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lucy Ryder
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Emily Sullivan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Caroline Abbas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Adrienne Allen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Janice Freel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Alicia Greene
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dawn Jiggetts
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Hope Joseph
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kimberly Loman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Henry Mosley
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - John Reusing
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Alafia Samuels
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Thomas Shields
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - LeeLana Thomas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Evonne Utsey
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Penny Hyde
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mark R. Burge
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Chai
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ateka Fondino
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ysela Gonzales
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Patricia Katz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carolyn King
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Jill Crandall
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Harry Shamoon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Janet O. Brown
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Elsie Adorno
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Liane Cox
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Helena Duffy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Samuel Engel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Jennifer Lukin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Stacey Kloiber
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Helen Martinez
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dorothy Pompi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Elissa Violino
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Joel Zonszein
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Trevor Orchard
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Rena R. Wing
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Jeffries
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Gaye Koenning
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - M. Kaye Kramer
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marie Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Barr
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Miriam Boraz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Clifford
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Rebecca Culyba
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ryan Gilligan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Susan Harrier
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Louann Harris
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Andrea Kriska
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Monica Mullen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Alicia Noel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Amy Otto
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Linda Semler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Tara Wilson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - John S. Melish
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mae K. Isonaga
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ralph Beddow
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Lorna Dias
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jillian Inouye
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kathy Mikami
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Sharon K. Odom
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Mary A. Hoskin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carol A. Percy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Alvera Enote
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Camille Natewa
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kelly J. Acton
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Rosalyn Barber
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Shandiin Begay
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Evelyn C. Bird
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Brian C. Bucca
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Sherron Cook
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jeff Curtis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tara Dacawyma
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Roberta Duncan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Cyndy Edgerton
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Justin Glass
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Martia Glass
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dorothy Gohdes
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Wendy Grant
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ellie Horse
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Merry Jackson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Priscilla Jay
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Karen Kavena
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - David Kessler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Jason Kurland
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Cherie McCabe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sara Michaels
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tina Morgan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Steven Poirier
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mike Reidy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Debra Rowse
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Robert J. Roy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Miranda Smart
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Darryl Tonemah
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Raymond Bain
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sarah Fowler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Tina Brenneman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Solome Abebe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Julie Bamdad
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Joel Bethepu
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Anna Bowers
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Nicole Butler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Mary Foulkes
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Yuping Gao
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Robert Gooding
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Lori Haffner
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Steve Jones
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tara L. Jones
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Richard Katz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - John M. Lachin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Yong Ma
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Pamela Mucik
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Robert Orlosky
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Reamer
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - James Rochon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Hanna Sherif
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | | | | | - John Albers
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - R. Eastman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Judith Fradkin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Christine Lee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Edward Gregg
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ping Zhang
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dan O’Leary
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Gregory Evans
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Matthew Budoff
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Chris Dailing
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ann Schwartz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Caroline Navy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Palermo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Sharon Hall
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Yabing Li
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Margaret Mills
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Zhuming Zhang
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Julie Hu
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Hensley
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Keasler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tonya Taylor
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Barbara Blodi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ronald Danis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Matthew Davis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Larry Hubbard*
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ryan Endres**
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Dawn Myers**
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Nancy Barrett
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Wendy Benz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Holly Cohn
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ellie Corkery
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kristi Dohm
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Vonnie Gama
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Anne Goulding
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Andy Ewen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Kyle McDaniel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jeong Pak
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - James Reimers
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ruth Shaw
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Maria Swift
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Pamela Vargo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sheila Watson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jennifer Manly
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Ted Ganiats
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kristin David
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Erik Groessl
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Naomi Katzir
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Helen Chong
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Ling Chen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Maegan Harden
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Toni I. Pollin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Paul W. Franks
- for the Diabetes Prevention Program Research (DPPOS) Group
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Hicks CW, Wang D, Lin FR, Reed N, Windham BG, Selvin E. Peripheral Neuropathy and Vision and Hearing Impairment in US Adults With and Without Diabetes. Am J Epidemiol 2023; 192:237-245. [PMID: 36345076 PMCID: PMC10308505 DOI: 10.1093/aje/kwac195] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/08/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022] Open
Abstract
We aimed to assess the associations of peripheral neuropathy (PN) with vision and hearing impairment among adults aged ≥40 years who attended the lower-extremity disease exam for the National Health and Nutrition Examination Survey (United States, 1999-2004). Overall, 11.8% (standard error (SE), 0.5) of adults had diabetes, 13.2% (SE, 0.5) had PN (26.6% (SE, 1.4) with diabetes, 11.4% (SE, 0.5) without diabetes), 1.6% (SE, 0.1) had vision impairment, and 15.4% (SE, 1.1) had hearing impairment. The prevalence of vision impairment was 3.89% (95% CI: 2.99, 5.05) among adults with PN and 1.29% (95% CI: 1.04, 1.60) among adults without PN (P < 0.001). After adjustment, PN was associated with vision impairment overall (odds ratio (OR) = 1.48, 95% confidence interval (CI): 1.03, 2.13) and among adults without diabetes (OR = 1.80, 95% CI: 1.17, 2.77) but not among adults with diabetes (P for interaction = 0.018). The prevalence of hearing impairment was 26.5% (95% CI: 20.4, 33.7) among adults with PN and 14.2% (95% CI: 12.4, 16.3) among adults without PN (P < 0.001). The association of PN with moderate/severe hearing impairment was significant overall (OR = 2.55, 95% CI: 1.40, 4.64) and among adults without diabetes (OR = 3.26, 95% CI: 1.80, 5.91). Overall, these findings suggest an association between peripheral and audiovisual sensory impairment that is unrelated to diabetes.
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Affiliation(s)
| | | | | | | | | | - Elizabeth Selvin
- Correspondence to Dr. Elizabeth Selvin, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument Street, Suite 2-600, Baltimore, MD 21287 (e-mail: )
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Elevated Plasma Levels of C1qTNF1 Protein in Patients with Age-Related Macular Degeneration and Glucose Disturbances. J Clin Med 2022; 11:jcm11154391. [PMID: 35956011 PMCID: PMC9369205 DOI: 10.3390/jcm11154391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/15/2022] [Accepted: 07/26/2022] [Indexed: 12/03/2022] Open
Abstract
In recent years, research has provided increasing evidence for the importance of inflammatory etiology in age-related macular degeneration (AMD) pathogenesis. This study assessed the profile of inflammatory cytokines in the serum of patients with AMD and coexisting glucose disturbances (GD). This prospective population-based cohort study addressed the determinants and occurrence of cardiovascular, neurological, ophthalmic, psychiatric, and endocrine diseases in residents of Bialystok, Poland. To make the group homogenous in terms of inflammatory markers, we analyzed only subjects with glucose disturbances (GD: diabetes or prediabetes). Four hundred fifty-six patients aged 50–80 were included. In the group of patients without macular degenerative changes, those with GD accounted for 71.7%, while among those with AMD, GD accounted for 89.45%. Increased serum levels of proinflammatory cytokines were observed in both AMD and GD groups. C1qTNF1 concentration was statistically significantly higher in the group of patients with AMD, with comparable levels of concentrations of other proinflammatory cytokines. C1qTNF1 may act as a key mediator in the integration of lipid metabolism and inflammatory responses in macrophages. Moreover, C1qTNF1 levels are increased after exposure to oxidized low-density lipoprotein (oxLDL), which plays a key role in atherosclerotic plaque formation and is also a major component of the drusen observed in AMD. C1qTNF1 may, therefore, prove to be a link between the accumulation of oxLDL and the induction of local inflammation in the development of AMD with concomitant GD.
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26
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Yongpeng Z, Yaxing W, Jinqiong Z, Qian W, Yanni Y, Xuan Y, Jingyan Y, Wenjia Z, Ping W, Chang S, Ming Y, Yanan L, Jinyuan W, Shouling W, Shuohua C, Haiwei W, Lijian F, Qianqian W, Jingyuan Z, Zihan N, Yuning C, Ying X, Jonas JB, Wenbin W. The Association Between Diabetic Retinopathy and the Prevalence of Age-Related Macular Degeneration—The Kailuan Eye Study. Front Public Health 2022; 10:922289. [PMID: 35923972 PMCID: PMC9339787 DOI: 10.3389/fpubh.2022.922289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 06/10/2022] [Indexed: 11/18/2022] Open
Abstract
This study aimed to investigate the prevalence of age-related macular degeneration (AMD) in patients with diabetes mellitus (DM) and diabetic retinopathy (DR) and analyze whether DR is a risk factor for AMD. This population-based epidemiological study included 14,440 people from the Kailuan Eye Study in 2016, of whom 1,618 were patients with type 2 DM aged over 50 years, and 409 had DM with DR. We analyzed whether there were differences in the prevalence of AMD between DM with DR and DM without DR, and conducted a hierarchical statistical analysis according to different stages of DR. Using variable regression analysis, we explored whether DR constituted a risk factor for AMD. In the DM population, the prevalence of wet AMD in patients with DM with and without DR was 0. 3 and 0.2%, respectively, with no significant difference (P = 0.607). Meanwhile, the prevalence of dry AMD in patients with DM with and without DR was 20.8 and 16.0%, respectively, with a significant difference. In the subgroup analysis of dry AMD, the prevalence of early, middle, and late dry AMD in DM with DR was 14.4, 5.9, and 0.5%, respectively. In DM without DR, the prevalence of early, middle, and late dry AMD was 10.5, 4.8, and 0.7%, respectively (P = 0.031). In the subgroup analysis of DR staging, statistical analysis could not be performed because of the limited number of patients with PDR. In the variable regression analysis of risk factors for dry AMD, after adjusting for age, sex, body mass index, hypertension, and dyslipidemia, DR constituted the risk factor for dry AMD. In conclusion, DM did not constitute a risk factor for AMD, and the prevalence of wet AMD and dry AMD in patients with DM and DR was higher than that in patients with DM without DR (among which dry AMD was statistically significant). Multivariate regression analysis confirmed that DR is an independent risk factor for dry AMD. Reasonable control of DM and slowing down the occurrence and development of DR may effectively reduce the prevalence of AMD in patients with DM.
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Affiliation(s)
- Zhang Yongpeng
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wang Yaxing
- Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Zhou Jinqiong
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wang Qian
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yan Yanni
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yang Xuan
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yang Jingyan
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Zhou Wenjia
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wang Ping
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Shen Chang
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yang Ming
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Luan Yanan
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wang Jinyuan
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wu Shouling
- Cardiology Department, Kailuan General Hospital, Tangshan, China
| | - Chen Shuohua
- Health Care Center, Kailuan Group, Tangshan, China
| | - Wang Haiwei
- Department of Ophthalmology, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Fang Lijian
- Department of Ophthalmology, Beijing Liangxiang Hospital, Capital Medical University, Beijing, China
| | - Wan Qianqian
- Department of Ophthalmology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Zhu Jingyuan
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Nie Zihan
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Chen Yuning
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xie Ying
- Department of Ophthalmology, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Jost B. Jonas
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany
| | - Wei Wenbin
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- *Correspondence: Wei Wenbin
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Rai BB, Morley MG, Bernstein PS, Maddess T. Severity of age-related macular degeneration at first presentation in Bhutan: a 3-year national study. BMC Ophthalmol 2022; 22:298. [PMID: 35810276 PMCID: PMC9270786 DOI: 10.1186/s12886-022-02520-w] [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: 01/26/2022] [Accepted: 07/05/2022] [Indexed: 12/03/2022] Open
Abstract
Background Medical services are still developing in Bhutan. There is no published national report on age-related macular degeneration (AMD). We therefore aim to determine the demographic characteristics and severity of AMD at first presentation among Bhutanese patients attending their recently inaugurated vitreoretinal (VR) clinics over a 3-year national survey, and to inform national health policy to develop suitable health program to prevent AMD-related blindness and visual impairment. Methods A retrospective cross-sectional consecutive case series study was conducted on all new AMD cases in Bhutan. If a patient presented with asymmetrical AMD, the eye with more severe AMD was considered. If both the eyes had the same severity one eye was chosen randomly. Collection of demographic data and clinical details including diagnostic testing (fundus photography, OCT and fluorescent angiography) and clinical staging were performed. Results Of 521 new AMD patients aged 71.9 ± 11.3 years, 306/521 (58.7%) were males (p = 0.005). At their first presentation, 234/521 patients (44.9%) already had late-stage AMD. Importantly, 69/234 patients (29.5%), that is half of total neovascular AMD (nAMD) patients, had disciform scars (DS) which were beyond treatment, and 7/234 patients (3.0%) had geographic atrophy (GA). Seven patients had retinal pigment epithelium tear at presentation. Fourteen of nineteen polypoidal choroidal vasculopathy (PCV) patients were younger than 50 years. Conclusions Half of nAMD cases presented as DS not amenable to the treatment. Many potentially treatable nAMD patients had already lost central vision and were legally blind. Young people with PCV losing vision early in life with longer morbidity-affected life and socio-economic burden was concerning. GA and DS cases need visual rehabilitation to improve their QoL. Incorporating a screening program for AMD with effective health education, and maintaining a national AMD Registry, would potentially lower AMD-related blindness and visual impairment.
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Affiliation(s)
- Bhim B Rai
- John Curtin School of Medical Research, Australian National University, 131 Garran Road Acton, Canberra, ACT, 2601, Australia. .,Former Retinal Surgeon, JDW National Referral Hospital, Ministry of Health, Royal Government of Bhutan, Thimphu, Bhutan.
| | - Michael G Morley
- Ophthalmic Consultants of Boston, Harvard Medical School, Boston, MA, USA
| | | | - Ted Maddess
- John Curtin School of Medical Research, Australian National University, 131 Garran Road Acton, Canberra, ACT, 2601, Australia
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28
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Vergroesen JE, Thee EF, Ahmadizar F, van Duijn CM, Stricker BH, Kavousi M, Klaver CCW, Ramdas WD. Association of Diabetes Medication With Open-Angle Glaucoma, Age-Related Macular Degeneration, and Cataract in the Rotterdam Study. JAMA Ophthalmol 2022; 140:674-681. [PMID: 35587864 DOI: 10.1001/jamaophthalmol.2022.1435] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Importance Recent studies suggest that the diabetes drug metformin has a protective effect on open-angle glaucoma (OAG) and age-related macular degeneration (AMD). However, studies have not addressed the critical issue of confounding by indication, and associations have not been evaluated in a large prospective cohort. Objective To determine the association between diabetes medication and the common eye diseases OAG, AMD, and cataract and to evaluate their cumulative lifetime risks in a large cohort study. Design, Setting, and Participants This cohort study included participants from 3 independent cohorts from the prospective, population-based Rotterdam Study between April 23, 1990, and June 25, 2014. Participants were monitored for incident eye diseases (OAG, AMD, cataract) and had baseline measurements of serum glucose. Data on diabetes medication use and data from ophthalmologic examinations were gathered. Exposures Type 2 diabetes (T2D) and the diabetes medications metformin, insulin, and sulfonylurea derivatives. Main Outcomes and Measures Diagnosis and cumulative lifetime risk of OAG, AMD, and cataract. Results This study included 11 260 participants (mean [SD] age, 65.1 [9.8]; 6610 women [58.7%]). T2D was diagnosed in 2406 participants (28.4%), OAG was diagnosed in 324 of 7394 participants (4.4%), AMD was diagnosed in 1935 of 10 993 participants (17.6%), and cataract was diagnosed in 4203 of 11 260 participants (37.3%). Untreated T2D was associated with a higher risk of OAG (odds ratio [OR], 1.50; 95% CI, 1.06-2.13; P = .02), AMD (OR, 1.35; 95% CI, 1.11-1.64; P = .003), and cataract (OR, 1.63; 95% CI, 1.39-1.92; P < .001). T2D treated with metformin was associated with a lower risk of OAG (OR, 0.18; 95% CI, 0.08-0.41; P < .001). Other diabetes medication (ie, insulin, sulfonylurea derivates) was associated with a lower risk of AMD (combined OR, 0.32; 95% CI, 0.18 to 0.55; P < .001). The cumulative lifetime risk of OAG was lower for individuals taking metformin (1.5%; 95% CI, 0.01%-3.1%) than for individuals without T2D (7.2%; 95% CI, 5.7%-8.7%); the lifetime risk of AMD was lower for individuals taking other diabetes medication (17.0%; 95% CI, 5.8%-26.8% vs 33.1%; 95% CI, 30.6%-35.6%). Conclusions and Relevance Results of this cohort study suggest that, although diabetes was clearly associated with cataract, diabetes medication was not. Treatment with metformin was associated with a lower risk of OAG, and other diabetes medication was associated with a lower risk of AMD. Proof of benefit would require interventional clinical trials.
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Affiliation(s)
- Joëlle E Vergroesen
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Eric F Thee
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,EyeNED Reading Center, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Cornelia M van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,EyeNED Reading Center, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands.,Institute of Molecular and Clinical Ophthalmology, University of Basel, Basel, Switzerland
| | - Wishal D Ramdas
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands
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29
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Strenk LM, Guo S, Lu K, Werner L, Strenk SA. Force of lifelong crystalline lens growth: chronic traumatic mechanical insult to the choroid. J Cataract Refract Surg 2022; 48:342-348. [PMID: 34321408 PMCID: PMC8752647 DOI: 10.1097/j.jcrs.0000000000000744] [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: 03/23/2021] [Accepted: 06/29/2021] [Indexed: 01/14/2023]
Abstract
PURPOSE To calculate the forces applied to the uvea and retina as a result of lifelong crystalline lens growth. DESIGN Retrospective study. SETTING MRI Research, Inc., Middleburg Heights, Ohio; Institute of Ophthalmology and Visual Science UMDNJ-New Jersey Medical School, Newark, New Jersey; USC Psychology University of Southern California, Los Angeles. METHODS Magnetic resonance images were acquired from 15 phakic/pseudophakic eye pairs in patients with cataract (ages 46 to 83 years). Choroidal lengths were measured. The forces required to produce differences between phakic/pseudophakic choroidal lengths were calculated. RESULTS The length of the choroid is greater in the phakic eye compared with the corresponding pseudophakic eye (n = 15), and this difference increases with age (P = .00006; power = 0.99). The corresponding choroidal strain also increases with age (P = .00003, power = 0.99) as do the forces required to produce such a change in choroidal length (P = .000008, power = 0.99). CONCLUSIONS The authors theorize that lifelong crystalline lens growth applies a chronic, traumatic, mechanical insult to the uvea and retina. This previously unknown, ever-increasing, force appears to stretch the choroidal tissue and may be an intraocular pressure-independent modifiable risk factor for retinal disease. Implications exist for understanding the pathophysiology of retinal diseases in the aging eye that are often comorbid with cataracts, for example, glaucoma, macular degeneration, and diabetic retinopathy.
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Affiliation(s)
- Lawrence M Strenk
- From the MRI Research, Inc., Middleburg Heights, Ohio (Strenk, Strenk); Institute of Ophthalmology and Visual Science, New Jersey Medical School-Rutgers University, Newark, New Jersey (Guo); Doheny Eye Institute, University of California Los Angeles, Los Angeles, California (Lu); Ophthalmology, University of Utah/Moran Eye Center, Salt Lake City, Utah (Werner)
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30
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Matta S, Lamard M, Conze PH, Le Guilcher A, Ricquebourg V, Benyoussef AA, Massin P, Rottier JB, Cochener B, Quellec G. Automatic Screening for Ocular Anomalies Using Fundus Photographs. Optom Vis Sci 2022; 99:281-291. [PMID: 34897234 DOI: 10.1097/opx.0000000000001845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
SIGNIFICANCE Screening for ocular anomalies using fundus photography is key to prevent vision impairment and blindness. With the growing and aging population, automated algorithms that can triage fundus photographs and provide instant referral decisions are relevant to scale-up screening and face the shortage of ophthalmic expertise. PURPOSE This study aimed to develop a deep learning algorithm that detects any ocular anomaly in fundus photographs and to evaluate this algorithm for "normal versus anomalous" eye examination classification in the diabetic and general populations. METHODS The deep learning algorithm was developed and evaluated in two populations: the diabetic and general populations. Our patient cohorts consist of 37,129 diabetic patients from the OPHDIAT diabetic retinopathy screening network in Paris, France, and 7356 general patients from the OphtaMaine private screening network, in Le Mans, France. Each data set was divided into a development subset and a test subset of more than 4000 examinations each. For ophthalmologist/algorithm comparison, a subset of 2014 examinations from the OphtaMaine test subset was labeled by a second ophthalmologist. First, the algorithm was trained on the OPHDIAT development subset. Then, it was fine-tuned on the OphtaMaine development subset. RESULTS On the OPHDIAT test subset, the area under the receiver operating characteristic curve for normal versus anomalous classification was 0.9592. On the OphtaMaine test subset, the area under the receiver operating characteristic curve was 0.8347 before fine-tuning and 0.9108 after fine-tuning. On the ophthalmologist/algorithm comparison subset, the second ophthalmologist achieved a specificity of 0.8648 and a sensitivity of 0.6682. For the same specificity, the fine-tuned algorithm achieved a sensitivity of 0.8248. CONCLUSIONS The proposed algorithm compares favorably with human performance for normal versus anomalous eye examination classification using fundus photography. Artificial intelligence, which previously targeted a few retinal pathologies, can be used to screen for ocular anomalies comprehensively.
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Affiliation(s)
| | | | | | | | | | | | - Pascale Massin
- Ophtalmology Department, Lariboisière Hospital, APHP, Paris, France
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31
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Huang WC, Cheng F, Chen CC, Kuo PH, Wang YJ, Yin SC, Tu CM, Wu MH, Wang WY, Chen SE. A Novel Eye Drop Formulation for Potential Treatment of Neovascular Age-Related Macular Degeneration. Transl Vis Sci Technol 2021; 10:23. [PMID: 34932116 PMCID: PMC8711013 DOI: 10.1167/tvst.10.14.23] [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: 11/24/2022] Open
Abstract
Purpose Drug delivery to posterior ocular tissues via topical eye drop administration is arduous due to the unique anatomy and physiology of the eye. Therefore, treatments for posterior eye disease have to be administered via intravitreal injection or systemic route, both of which have their drawbacks. Herein, the objective of this work was to demonstrate that a specially designed eye drop formulation could effectively deliver small-molecule vascular endothelial growth factor (VEGF) inhibitor to posterior ocular tissues for antiangiogenic therapy. Methods The unique eye drop formulation, termed ITRI AXN eye drops, was obtained from self-assembly of (2-hydroxypropyl)-β-cyclodextrin with a VEGF tyrosine kinase inhibitor, a hydrophilic polymer, hypromellose, and a complex stabilizer, caffeine. In vivo ocular pharmacokinetics studies were performed with New Zealand White (NZW) rabbits and Non Human Primates (NHP). The antiangiogenesis effect was evaluated on the Long-Evans rat with laser-induced choroidal neovascularization and pigmented Dutch-Belted rabbits with VEGF-induced retinal neovascularization. Results The successful drug transport from ocular surface to posterior ocular cavity was indicated by a drug biodistribution pattern in pharmacokinetic studies. Excellent drug exposure in the choroid and retina with the concentrations of 900- and 750-fold greater than drug IC50 0.5 hours post the eye drop administration (drug level: 0.8%) was observed on the NHP study. The obtained formulation also demonstrated a comparable antiangiogenic outcome with the intravitreal injection of anti-VEGF antibody on rat and rabbit disease models. Conclusions Our eye drop formulation has demonstrated great promise in antiangiogenic therapy against retinal and choroidal neovascularization in animal models. The results suggest that the aim of this work can be successfully achieved by the novel eye drop formulation. Translational Relevance The preclinical results provide evidence that ITRI AXN eye drops could effectively deliver therapeutics to the choroid and retina for antiangiogenic therapy.
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Affiliation(s)
- Wen-Chia Huang
- Department of Drug Delivery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Felice Cheng
- Department of Drug Delivery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Chia-Ching Chen
- Department of Drug Delivery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Po-Hsien Kuo
- Department of Drug Delivery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Yen-Jen Wang
- Department of Drug Delivery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Shao-Chan Yin
- Department of Drug Delivery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Chia-Mu Tu
- Department of Preclinical Drug Discovery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Ming-Hsi Wu
- Department of Preclinical Drug Discovery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Wen-Yu Wang
- Department of Preclinical Drug Discovery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
| | - Sung-En Chen
- Department of Preclinical Drug Discovery Technology, Target Drug and Delivery Technology Division, Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, 300 Taiwan, Republic of China
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32
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Parmeggiani F. Are visual disturbances (excluding diabetic retinopathy) more common in geriatric DM patients? Are they risks factor for the progression of disability? JOURNAL OF GERONTOLOGY AND GERIATRICS 2021. [DOI: 10.36150/2499-6564-n452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Kuan V, Warwick A, Hingorani A, Tufail A, Cipriani V, Burgess S, Sofat R. Association of Smoking, Alcohol Consumption, Blood Pressure, Body Mass Index, and Glycemic Risk Factors With Age-Related Macular Degeneration: A Mendelian Randomization Study. JAMA Ophthalmol 2021; 139:1299-1306. [PMID: 34734970 PMCID: PMC8569599 DOI: 10.1001/jamaophthalmol.2021.4601] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/20/2021] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Advanced age-related macular degeneration (AMD) is a leading cause of blindness in Western countries. Causal, modifiable risk factors need to be identified to develop preventive measures for advanced AMD. OBJECTIVE To assess whether smoking, alcohol consumption, blood pressure, body mass index, and glycemic traits are associated with increased risk of advanced AMD. DESIGN, SETTING, PARTICIPANTS This study used 2-sample mendelian randomization. Genetic instruments composed of variants associated with risk factors at genome-wide significance (P < 5 × 10-8) were obtained from published genome-wide association studies. Summary-level statistics for these instruments were obtained for advanced AMD from the International AMD Genomics Consortium 2016 data set, which consisted of 16 144 individuals with AMD and 17 832 control individuals. Data were analyzed from July 2020 to September 2021. EXPOSURES Smoking initiation, smoking cessation, lifetime smoking, age at smoking initiation, alcoholic drinks per week, body mass index, systolic and diastolic blood pressure, type 2 diabetes, glycated hemoglobin, fasting glucose, and fasting insulin. MAIN OUTCOMES AND MEASURES Advanced AMD and its subtypes, geographic atrophy (GA), and neovascular AMD. RESULTS A 1-SD increase in logodds of genetically predicted smoking initiation was associated with higher risk of advanced AMD (odds ratio [OR], 1.26; 95% CI, 1.13-1.40; P < .001), while a 1-SD increase in logodds of genetically predicted smoking cessation (former vs current smoking) was associated with lower risk of advanced AMD (OR, 0.66; 95% CI, 0.50-0.87; P = .003). Genetically predicted increased lifetime smoking was associated with increased risk of advanced AMD (OR per 1-SD increase in lifetime smoking behavior, 1.32; 95% CI, 1.09-1.59; P = .004). Genetically predicted alcohol consumption was associated with higher risk of GA (OR per 1-SD increase of log-transformed alcoholic drinks per week, 2.70; 95% CI, 1.48-4.94; P = .001). There was insufficient evidence to suggest that genetically predicted blood pressure, body mass index, and glycemic traits were associated with advanced AMD. CONCLUSIONS AND RELEVANCE This study provides genetic evidence that increased alcohol intake may be a causal risk factor for GA. As there are currently no known treatments for GA, this finding has important public health implications. These results also support previous observational studies associating smoking behavior with risk of advanced AMD, thus reinforcing existing public health messages regarding the risk of blindness associated with smoking.
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Affiliation(s)
- Valerie Kuan
- Institute of Health Informatics, University College London, London, United Kingdom
- Health Data Research UK London, University College London, London, United Kingdom
- University College London British Heart Foundation Research Accelerator, London, United Kingdom
| | - Alasdair Warwick
- Institute of Cardiovascular Science, University College London, London, United Kingdom
- Moorfields Eye Hospital, London, United Kingdom
| | - Aroon Hingorani
- Health Data Research UK London, University College London, London, United Kingdom
- University College London British Heart Foundation Research Accelerator, London, United Kingdom
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Adnan Tufail
- Moorfields Eye Hospital, London, United Kingdom
- UCL Institute of Ophthalmology, University College London, London, United Kingdom
| | - Valentina Cipriani
- Moorfields Eye Hospital, London, United Kingdom
- UCL Institute of Ophthalmology, University College London, London, United Kingdom
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- UCL Genetics Institute, University College London, London, United Kingdom
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - Reecha Sofat
- Institute of Health Informatics, University College London, London, United Kingdom
- Health Data Research UK London, University College London, London, United Kingdom
- University College London British Heart Foundation Research Accelerator, London, United Kingdom
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Sahoo NK, Mehta MC, Rani PK, Khanna RC, Raman R, Bhattacharya J, Das AV, Murthy GVS, Narayanan R. Impact of age-related macular degeneration on diabetic retinopathy: An electronic health record based big data analysis from a tertiary eye centre in South India. Indian J Ophthalmol 2021; 69:3184-3188. [PMID: 34708768 PMCID: PMC8725103 DOI: 10.4103/ijo.ijo_1175_21] [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] [Indexed: 12/02/2022] Open
Abstract
Purpose: To determine whether the presence of age-related macular degeneration (AMD) decreases the risk of diabetic retinopathy. Methods: This was a retrospective, case-cohort study performed in patients with a systemic diagnosis of diabetes at a tertiary health care center from May 2011 to April 2020. A total of 43,153 patients (1,024 AMD patients and 42,129 non-AMD patients) were included in the analysis. A total of 1,024 age and diabetes mellitus (DM) duration-matched controls were chosen from the non-AMD group for risk factor analysis. The severity of diabetic retinopathy was compared between the patients with AMD and the patients without AMD. Results: Out of the enrolled 43,153 diabetic patients, 26,906 were males and 16,247 were females. A total of 1,024 patients had AMD and 42,129 had no AMD. The mean age of the cohort was 58.60 ± 0.09 years. The overall prevalence of DR was noted to be 22.8% (9,825 out of 43,153 eyes). A significantly lower prevalence of diabetic retinopathy (DR) (23% in non-AMD, 11.4% in AMD, OR = −0.43, P < 0.001), non-proliferative diabetic retinopathy (NPDR) (12% in non-AMD, 8.2% in AMD, OR = −0.66, P < 0.001), and proliferative diabetic retinopathy (PDR) (11% in non-AMD, 3.2% in AMD, OR = −0.27, P < 0.001) was seen in the AMD patients. No significant difference was seen between the dry and wet AMD. On multivariate logistic regression analysis, the lower age, absence of AMD, and male gender were associated with a higher risk of PDR. Conclusion: The presence of AMD was noted to statistically reduce the risk of DR. Our results may be useful in the field of resource allocation and awareness of DR.
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Affiliation(s)
- Niroj K Sahoo
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Smt. Kanuri Santhamma, Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Vijayawada, Andhra Pradesh, India
| | - Mehul C Mehta
- Department of Vitreo-retina, L VPrasad Eye Institute, Vijayawada, Andhra Pradesh, India
| | - Padmaja K Rani
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Smt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Rohit C Khanna
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Smt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Rajiv Raman
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India
| | - Jayanta Bhattacharya
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Department of Medicine, Center for Primary Care and Outcomes Research, Stanford University, USA
| | - Anthony V Das
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Smt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Gudlavalleti V S Murthy
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Indian Institute of Public Health Hyderabad, Public Health Foundation of India, Hyderabad, Telangana, India
| | - Raja Narayanan
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, Smt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, Telangana, India
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Chang CC, Huang CH, Chou YC, Chang JY, Sun CA. Association Between Age-Related Macular Degeneration and Risk of Heart Failure: A Population-Based Nested Case-Control Study. J Am Heart Assoc 2021; 10:e020071. [PMID: 34325520 PMCID: PMC8475704 DOI: 10.1161/jaha.120.020071] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background Heart failure (HF) is a major health problem worldwide because of its high morbidity and mortality. Recently, the role of the microvasculature in HF has gained more attention. Age‐related macular degeneration (AMD) is manifested through geographic atrophy or the development of neovascularization. However, there are limited data on investigations about the association between AMD and HF. The purpose of this study was to examine the association of AMD with the risk of HF in a large population‐based cohort of men and women. Methods and Results A nested case‐control study using Taiwan’s National Health Insurance Research Database was conducted between 2000 and 2012. Newly diagnosed heart failure cases (n=13 721) and matched controls (n=54 884) in the database were recruited. Patients who had ≥2 clinical visits with a diagnosis of AMD at least 1 year before the diagnosis of HF were identified as patients with AMD. Conditional logistic regressions were performed to calculate odds ratios and 95% CIs to assess the association between AMD and risk of HF. AMD was associated with a 1.58‐fold increased risk of HF (95% CI, 1.16–1.87) (P<0.001) after adjustment for potential confounders. This significant association was evident in both nonexudative and exudative AMD subgroups. Conclusions Our study provides evidence that AMD was associated with an increased risk of HF. Further molecular and pathophysiological studies are needed to clarify the underlying pathophysiological mechanisms behind the association of AMD with HF.
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Affiliation(s)
- Chao-Chien Chang
- Division of Cardiology Department of Internal Medicine Cathay General Hospital Taipei City Taiwan.,Graduate Institute of Medical Sciences College of MedicineTaipei Medical University Taipei City Taiwan.,Department of Pharmacology School of MedicineCollege of MedicineTaipei Medical University Taipei City Taiwan.,School of MedicineCollege of MedicineFu-Jen Catholic University New Taipei City Taiwan
| | - Chi-Hung Huang
- Division of Cardiology Department of Internal Medicine Cathay General Hospital Taipei City Taiwan.,School of DentistryCollege of Oral MedicineTaipei Medical University Taipei City Taiwan
| | - Yu-Ching Chou
- School of Public HealthNational Defense Medical Center Taipei City Taiwan
| | - Jin-Yin Chang
- Department of Medical Research Cathay General Hospital Taipei City Taiwan
| | - Chien-An Sun
- Department of Public Health College of MedicineFu-Jen Catholic University New Taipei City Taiwan.,Big Data Research Center College of MedicineFu-Jen Catholic University New Taipei City Taiwan
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Romdhoniyyah DF, Harding SP, Cheyne CP, Beare NAV. Metformin, A Potential Role in Age-Related Macular Degeneration: A Systematic Review and Meta-Analysis. Ophthalmol Ther 2021; 10:245-260. [PMID: 33846958 PMCID: PMC8079568 DOI: 10.1007/s40123-021-00344-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 03/27/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Currently, no generally approved medical treatment can delay the onset of age-related macular degeneration (AMD) or slow the progression of degenerative changes. Repurposing drugs with beneficial effects on AMD pathophysiology offers a route to new treatments which is faster, cost-effective, and safer for patients. Recent studies indicate a potential role for metformin in delaying AMD development and progression. In this context, we conducted a systematic review and meta-analysis to look for beneficial associations between metformin and AMD. METHODS We systematically searched Medline and Embase (via Ovid), Web of Science, and ClinicalTrials.gov databases for clinical studies in humans that examined the associations between metformin treatment and AMD published from inception to February 2021. We calculated pooled odds ratio (OR) with 95% confidence interval (CI) considering a random effect model in the meta-analysis. RESULTS Five retrospective studies met the inclusion criteria. There are no prospective studies that have reported the effect of metformin in AMD. The meta-analysis showed that people taking metformin were less likely to have AMD although statistical significance was not met (pooled adjusted OR = 0.80, 95% CI 0.54-1.05, I2 = 98.8%). Subgroup analysis of the association between metformin and early and late AMD could not be performed since the data was not available from the included studies. CONCLUSIONS Analysis of retrospective data suggests a signal that metformin may be associated with decreased risk of any AMD. It should be interpreted with caution because of the failure to meet statistical significance, the small number of studies, and the limitation of routine record data. However prospective studies are warranted in generalizable populations without diabetes, of varied ethnicities, and AMD stages. Clinical trials are needed to determine if metformin has efficacy in treating early and late-stage AMD.
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Affiliation(s)
- Dewi Fathin Romdhoniyyah
- Department of Eye and Vision Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK.
| | - Simon P Harding
- Department of Eye and Vision Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK
- St. Paul's Eye Unit, Liverpool University Hospitals NHS Foundation Trust, Member of Liverpool Health Partners, Liverpool, UK
| | - Christopher P Cheyne
- Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Nicholas A V Beare
- Department of Eye and Vision Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK
- St. Paul's Eye Unit, Liverpool University Hospitals NHS Foundation Trust, Member of Liverpool Health Partners, Liverpool, UK
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Abstract
PURPOSE OF REVIEW This review explores metabolic syndrome (MetS) as a risk factor that accelerates aging in retinal neurons and may contribute to the neurodegeneration seen in glaucomatous optic neuropathy (GON) and age-related macular degeneration (AMD). RECENT FINDINGS Both animal model experiments and epidemiologic studies suggest that metabolic stress may lead to aberrant regulation of a number of cellular pathways that ultimately lead to premature aging of the cell, including those of a neuronal lineage. SUMMARY GON and AMD are each leading causes of irreversible blindness worldwide. Aging is a significant risk factor in the specific retinal neuron loss that is seen with each condition. Though aging at a cellular level is difficult to define, there are many mechanistic modifiers of aging. Metabolic-related stresses induce inflammation, oxidative stress, mitochondrial dysfunction, endoplasmic reticulum stress, alterations to the unfolded protein response, defects in autophagy, alterations to the microbiome, and deposition of advanced glycation end products that can all hasten the aging process. Due to the number of variables related to metabolic health, defining criteria to enable the study of risk factors at a population level is challenging. MetS is a definable constellation of related metabolic risk factors that includes enlarged waist circumference, dyslipidemia, systemic hypertension, and hyperglycemia. MetS has been associated with both GON and AMD and may contribute to disease onset and/or progression in each disease.
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Schnabolk G, Obert E, Banda NK, Rohrer B. Systemic Inflammation by Collagen-Induced Arthritis Affects the Progression of Age-Related Macular Degeneration Differently in Two Mouse Models of the Disease. Invest Ophthalmol Vis Sci 2021; 61:11. [PMID: 33289791 PMCID: PMC7726584 DOI: 10.1167/iovs.61.14.11] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Purpose Age-related macular degeneration (AMD) shares similar risk factors and inflammatory responses with rheumatoid arthritis (RA). Previously, we identified increased risk for dry AMD among patients with RA compared to control subjects, using retrospective data analysis. In this current study, we investigate the role of systemic inflammation triggered in a murine model of arthritis on choroidal neovascularization and retinal pigment epithelium (RPE) degeneration mouse models. Methods Collagen-induced arthritis (CIA) was induced in C57BL/6J mice prior to laser-induced choroidal neovascularization (CNV; wet AMD model) or sodium iodate-induced retinal degeneration (NaIO3; dry AMD model). CNV lesion size and retinal thickness were quantified by optical coherence photography (OCT), visual function was analyzed using optokinetic response and electroretinography, RPE morphology was examined by immunohistochemistry, and inflammatory gene expression was analyzed by quantitative PCR. Results CIA mice demonstrated decreased spatial acuity and contrast sensitivity, whereas no difference was observed in the RPE-generated c-wave. CNV lesion size was decreased in CIA mice. NaIO3 decreased c-wave amplitude, as well as retinal thickness, which was augmented by CIA. NaIO3 treatment resulted in loss of normal RPE hexagonal shape, which was further aggravated by CIA. Increased Cxcl9 expression was observed in the presence of CIA and CIA combined with AMD. Disease severity differences were observed between sexes. Conclusions Our data suggest systemic inflammation by CIA results in increased pathology in a dry AMD model, whereas it reduces lesions in a wet AMD model. These findings highlight the need for additional investigation into the role of secondary inflammation and sex-based differences on AMD.
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Affiliation(s)
- Gloriane Schnabolk
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, United States
| | - Elisabeth Obert
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, United States
| | - Nirmal K Banda
- Division of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Bärbel Rohrer
- Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina, United States.,Ralph H. Johnson VA Medical Center, Division of Research, Charleston, South Carolina, United States
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Wen LY, Wan L, Lai JN, Chen CS, Chen JJY, Wu MY, Hu KC, Chiu LT, Tien PT, Lin HJ. Increased risk of Alzheimer's disease among patients with age-related macular degeneration: A nationwide population-based study. PLoS One 2021; 16:e0250440. [PMID: 33961642 PMCID: PMC8104445 DOI: 10.1371/journal.pone.0250440] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 04/07/2021] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the risk of Alzheimer's disease among patients with age-related macular degeneration and its association with confounding comorbidities. METHOD This was a population-based, retrospective cohort study. By accessing data from the National Health Insurance Research Database of Taiwan, we identified 10,578 patients aged 50-100 years who were newly diagnosed with age-related macular degeneration between 2000 and 2012 and 10,578 non- age-related macular degeneration individuals. The comorbidities assessed were osteoporosis, diabetes, cirrhosis, cerebrovascular disease, chronic kidney disease, hypertension, hyperlipidemia, coronary artery disease, and chronic obstructive pulmonary disease. RESULTS Patients with age-related macular degeneration had a 1.23-fold increased risk of their condition advancing to Alzheimer's disease (aHR = 1.23, 95% CI = 1.04-1.46). The younger patients were diagnosed with age-related macular degeneration, the more likely patients got Alzheimer's disease (50-64 age group: aHR = 1.97, 95% CI = 1.04-3.73; 65-79 age group: aHR = 1.27, 95% CI = 1.02-1.58; 80-100 age group: aHR = 1.06, 95% CI = 0.78-1.45). In addition, there were significantly higher risks of Alzheimer's disease for patients with cirrhosis (aHR = 1.50, 95% CI = 1.09-2.06) in the age-related macular degeneration cohort than in the non-age-related macular degeneration cohort. CONCLUSION Patients with age-related macular degeneration may exhibit a higher risk of Alzheimer's disease than people without age-related macular degeneration.
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Affiliation(s)
- Li-Yen Wen
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Lei Wan
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung, Taiwan
- Department of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan
| | - Jung-Nien Lai
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Chih Sheng Chen
- Division of Chinese Medicine, Asia University Hospital, Taichung, Taiwan
| | - Jamie Jiin-Yi Chen
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Ophthalmology and Department of Molecular Genetics, China Medical University Hospital, Taichung, Taiwan
| | - Ming-Yen Wu
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Ophthalmology and Department of Molecular Genetics, China Medical University Hospital, Taichung, Taiwan
| | - Kai-Chieh Hu
- Management office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Lu-Ting Chiu
- Management office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Peng-Tai Tien
- Department of Ophthalmology and Department of Molecular Genetics, China Medical University Hospital, Taichung, Taiwan
- Graduate Institute of Clinical Medical Science, College of Medicine, China Medical University, Taichung, Taiwan
| | - Hui-Ju Lin
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Ophthalmology and Department of Molecular Genetics, China Medical University Hospital, Taichung, Taiwan
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Blitzer AL, Ham SA, Colby KA, Skondra D. Association of Metformin Use With Age-Related Macular Degeneration: A Case-Control Study. JAMA Ophthalmol 2021; 139:302-309. [PMID: 33475696 PMCID: PMC7821082 DOI: 10.1001/jamaophthalmol.2020.6331] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance Age-related macular degeneration (AMD), the leading cause of irreversible blindness in older adults, appears to have no effective preventive measures. The common antidiabetic drug metformin has been shown to have protective outcomes in multiple age-associated diseases and may have the potential to protect against the development of AMD. Objective To determine whether metformin use is associated with reduced odds of developing AMD. Design, Setting, and Participants This case-control study of patients from a nationwide health insurance claims database included a population-based sample of patients. Those aged 55 years and older with newly diagnosed AMD from January 2008 to December 2017 were defined as cases and matched with control participants. Data analyses were completed from June 2019 to February 2020. Exposures Dosage of metformin and exposure to other prescribed medications, as identified from outpatient drug claims. Main Outcomes and Measures Risk of developing AMD. Results A total of 312 404 affected individuals were included (181 817 women [58.2%]). After matching, 312 376 control participants were included (172 459 women [55.2%]; age range, 55 to 107 years). The case group had a slightly higher percentage of participants with diabetes (81 262 participants [26.0%]) compared with the control group (79 497 participants [25.5%]). Metformin use was associated with reduced odds of developing AMD (odds ratio [OR], 0.94 [95% CI, 0.92-0.96]). This association was dose dependent, with low to moderate doses of metformin showing the greatest potential benefit (dosages over 2 years: 1-270 g, OR, 0.91 [95% CI, 0.88-0.94]; 271-600 g, OR, 0.90 [95% CI, 0.87-0.93]; 601-1080 g, OR, 0.95 [95% CI, 0.92-0.98]). Doses of more than 1080 g of metformin over 2 years did not have reduced odds of developing AMD. Both the reduction in odds ratio and the dose-dependent response were preserved in a cohort consisting only of patients with diabetes. Metformin use was associated with a decreased OR of AMD in patients with diabetes without coexisting diabetic retinopathy (OR, 0.93 [95% CI, 0.91-0.95]) but was a risk factor in patients with diabetic retinopathy (OR, 1.07 [95% CI, 1.01-1.15]). Conclusion and Relevance In this study, metformin use was associated with reduced odds of developing AMD. This association was dose dependent, with the greatest benefit at low to moderate doses. When looking only at patients with diabetes, we saw a preservation of the dose-dependent decrease in the odds of patients developing AMD. Metformin does not appear to be protective in patients with diabetes and coexisting diabetic retinopathy. This study suggests that metformin may be useful as a preventive therapy for AMD and provides the basis for potential prospective clinical trials.
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Affiliation(s)
- Andrea L. Blitzer
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, Illinois
| | - Sandra A. Ham
- Center for Health and the Social Sciences, The University of Chicago, Chicago, Illinois
| | | | - Dimitra Skondra
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, Illinois
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Prevalence of age-related macular degeneration among optometric telemedicine users in Spain: a retrospective nationwide population-based study. Graefes Arch Clin Exp Ophthalmol 2021; 259:1993-2003. [PMID: 33576860 DOI: 10.1007/s00417-021-05093-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 11/18/2020] [Accepted: 01/20/2021] [Indexed: 12/17/2022] Open
Abstract
PURPOSE To evaluate the prevalence of AMD among optometric telemedicine users in Spain and to identify risk factors. METHODS Retrospective analysis of a nationwide database conducted on subjects attending to optometry centers, between January 2013 and December 2019. Fundus photographs were performed by optometrists, using non-mydriatic cameras, and evaluated by a group of 12 retina specialists. RESULTS Among the 119,877 subjects included, the overall prevalence of AMD was 7.6%. The prevalence of early, intermediate, and advanced AMD was 2.9%, 2.7%, and 2.0%, respectively. Of the 9129 AMD subjects, 1161 (12.7%) had geographic atrophy, and 1089 (11.9%) had neovascular AMD, either scar (4.5%) or exudative (7.4%). There was a significant association between AMD and age (per year older, adjusted odds ratio, OR 1.116; 95% CI 1.114 to 1.119, p<0.0001). Women had higher prevalence (adjusted OR 1.17; 95% CI 1.12 to 1.23, p<0.0001). Every diopter (spherical equivalent) of progress toward hyperopia was associated with a significant increase in early AMD prevalence (adjusted OR 1.02, 95 CI 1.01 to 1.04, p=0.0074). Presence of diabetes was associated with a lower AMD prevalence (p<0.0001). CONCLUSIONS The prevalence of AMD (any eye and any severity) was 7.6%, with a prevalence of advanced AMD of 2.0%. Older age and women were significantly associated with a higher prevalence of AMD, whereas myopia and presence of diabetes were associated with significantly lower odds of any AMD.
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Heesterbeek TJ, Rouhi-Parkouhi M, Church SJ, Lechanteur YT, Lorés-Motta L, Kouvatsos N, Clark SJ, Bishop PN, Hoyng CB, den Hollander AI, Unwin RD, Day AJ. Association of plasma trace element levels with neovascular age-related macular degeneration. Exp Eye Res 2020; 201:108324. [PMID: 33098886 PMCID: PMC7773981 DOI: 10.1016/j.exer.2020.108324] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/05/2020] [Accepted: 10/19/2020] [Indexed: 02/07/2023]
Abstract
Although the triggers causing angiogenesis in the context of neovascular age-related macular degeneration (nAMD) are not fully understood, oxidative stress is likely involved. Oxidative stress in the eye can occur through exposure of macular tissues to sunlight and local or systemic exposure to oxidative stressors associated with environmental or lifestyle factors. Because trace elements have been implicated as regulators of oxidative stress and cellular antioxidant defense mechanisms, we hypothesized that they may play a role as a risk factor, modifying the progression toward nAMD. Herein, we determined whether levels of human plasma trace elements are different in 236 individuals with nAMD compared to 236 age-matched controls without AMD. Plasma levels of 16 trace elements including arsenic, barium, calcium, cadmium, cobalt, chromium, copper, iron, magnesium, manganese, molybdenum, lead, antimony, selenium, vanadium and zinc were measured using inductively coupled plasma mass spectrometry. Associations of trace elements with demographic, environmental and lifestyle factors and AMD-associated genetic variants were assessed. Elevated levels of barium and cadmium and reduced levels of chromium were observed in nAMD patients compared to controls. Mean plasma concentrations of barium were 1.35 μg/L (standard deviation [SD] 0.71) in nAMD and 1.15 μg/L (SD 0.63) in controls (P = 0.001). Mean levels of chromium were 0.37 μg/L (SD 0.22) in nAMD and 0.46 μg/L (SD 0.34) in controls (P = 0.001). Median levels for cadmium, which were not normally distributed, were 0.016 μg/L (interquartile range [IQR] 0.001-0.026) in nAMD and 0.012 μg/L (IQR 0.001-0.022) in controls (P = 0.002). Comparison of the Spearman's correlation coefficients between nAMD patients and controls identified a difference in correlations for 8 trace elements. Cadmium levels were associated with the smoking status (P < 0.001), while barium levels showed a trend of association with the usage of antihypertensive drugs. None of the AMD-associated genetic variants were associated with any trace element levels. In conclusion, in this case-control study we detected elevated plasma levels of barium and cadmium and reduced plasma levels of chromium in nAMD patients. An imbalance in plasma trace elements, which is most likely driven by environmental and lifestyle factors, might have a role in the pathogenesis of AMD. These trace elements may be incorporated as biomarkers into models for prediction of disease risk and progression. Additionally, population-based preventive strategies to decrease Cd exposure, especially by the cessation of smoking, could potentially reduce the burden of nAMD. Future studies are warranted to investigate whether supplementation of Cr would have a beneficial effect on nAMD.
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Affiliation(s)
- Thomas J Heesterbeek
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mansour Rouhi-Parkouhi
- Wellcome Trust Centre for Cell-Matrix Research, Division of Cell-Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Oxford Road, Manchester, M13 9PT, UK
| | - Stephanie J Church
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Core Technology Facility, Grafton Street, Manchester, M13 9NT, UK
| | - Yara T Lechanteur
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Laura Lorés-Motta
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nikolaos Kouvatsos
- Wellcome Trust Centre for Cell-Matrix Research, Division of Cell-Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Oxford Road, Manchester, M13 9PT, UK
| | - Simon J Clark
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK; Institute for Ophthalmic Research, Eberhard Karls University of Tübingen, Elfriede-Aulhorn-Straße 7, 72076, Tübingen, Germany
| | - Paul N Bishop
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK; Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester M13 9WL, UK
| | - Carel B Hoyng
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anneke I den Hollander
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Richard D Unwin
- Stoller Biomarker Discovery Centre and Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, The University of Manchester, CityLabs 1.0 (3rd Floor), Nelson Street, Manchester, M13 9NQ, UK
| | - Anthony J Day
- Wellcome Trust Centre for Cell-Matrix Research, Division of Cell-Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Oxford Road, Manchester, M13 9PT, UK; Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Oxford Road, Manchester, M13 9PT, UK.
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Foreman J, Keel S, McGuinness MB, Crowston JG, Taylor HR, Dirani M. Prevalence and associations of non-retinopathy ocular conditions among older Australians with self-reported diabetes: The National Eye Health Survey. Int J Ophthalmol 2020; 13:1642-1651. [PMID: 33078117 DOI: 10.18240/ijo.2020.10.20] [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: 02/20/2020] [Accepted: 06/30/2020] [Indexed: 11/23/2022] Open
Abstract
AIM To determine the prevalence and associations of non-retinopathy ocular conditions among older Australian adults with diabetes. METHODS Multistage random-cluster sampling was used to select 3098 non-indigenous Australians aged 50y or older (46.4% male) and 1738 indigenous Australians aged 40y or older (41.1% male) from all levels of geographic remoteness in Australia. Participants underwent a standardised questionnaire to ascertain diabetes history, and a clinical examination to identify eye disease. We determined the prevalence of uncorrected refractive error, visually significant cataract, cataract surgery, age-related macular degeneration, glaucoma, ocular hypertension, retinal vein occlusion and epiretinal membrane among those with and without self-reported diabetes. RESULTS Participants with self-reported diabetes had a higher prevalence of cataract surgery than those without diabetes (28.8% vs 16.9%, OR 1.78, 95%CI: 1.35-2.34 among non-indigenous Australians, and 11.3% vs 5.2%, OR 1.62, 95%CI: 1.22-2.14 among indigenous Australians). Diabetic retinopathy (DR) increased the odds of cataract surgery among self-reported diabetic indigenous and non-indigenous Australians (OR 1.89, P=0.004 and OR 2.33, P<0.001 respectively). Having diabetes for ≥20y and having vision-threatening DR increased the odds of cataract surgery among indigenous Australians with diabetes (OR 3.73, P=0.001 and 7.58, P<0.001, respectively). CONCLUSION Most non-retinopathy ocular conditions are not associated with self-reported diabetes. However, to account for Australia's worsening diabetes epidemic, interventions to reduce the impact of diabetes-related blindness should include increased cataract surgery services.
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Affiliation(s)
- Joshua Foreman
- Centre for Eye Research Australia, the Royal Victorian Eye & Ear Hospital, Victoria 3002, Melbourne, Australia.,Ophthalmology, Department of Surgery, the University of Melbourne, Victoria 3010, Melbourne, Australia
| | - Stuart Keel
- Centre for Eye Research Australia, the Royal Victorian Eye & Ear Hospital, Victoria 3002, Melbourne, Australia.,Ophthalmology, Department of Surgery, the University of Melbourne, Victoria 3010, Melbourne, Australia
| | - Myra B McGuinness
- Centre for Eye Research Australia, the Royal Victorian Eye & Ear Hospital, Victoria 3002, Melbourne, Australia.,Ophthalmology, Department of Surgery, the University of Melbourne, Victoria 3010, Melbourne, Australia
| | - Jonathan G Crowston
- Centre for Eye Research Australia, the Royal Victorian Eye & Ear Hospital, Victoria 3002, Melbourne, Australia.,Ophthalmology, Department of Surgery, the University of Melbourne, Victoria 3010, Melbourne, Australia
| | - Hugh R Taylor
- Indigenous Eye Health Unit, Melbourne School of Population and Global Health, the University of Melbourne, Victoria 3010, Melbourne, Australia
| | - Mohamed Dirani
- Centre for Eye Research Australia, the Royal Victorian Eye & Ear Hospital, Victoria 3002, Melbourne, Australia.,Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore
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Liisborg C, Nielsen MK, Hasselbalch HC, Sørensen TL. Patients with myeloproliferative neoplasms and high levels of systemic inflammation develop age-related macular degeneration. EClinicalMedicine 2020; 26:100526. [PMID: 33089124 PMCID: PMC7565257 DOI: 10.1016/j.eclinm.2020.100526] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/29/2020] [Accepted: 08/13/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Epidemiological data show that myeloproliferative neoplasms (MPNs) are associated with increased risk of neovascular age-related macular degeneration (AMD). However, knowledge about the retinal findings in these patients is lacking. This study was conducted to examine retinal ageing and the prevalence of a hallmark of AMD; drusen, in patients with MPNs. Further, we examine the role of chronic systemic inflammation, considered central in both AMD and MPNs. METHODS In this single-centre cross-sectional study, we consecutively enrolled 200 patients with MPNs. The study was divided into three substudies. Firstly, we obtained colour fundus photographs from all patients to evaluate and compare the prevalence of drusen with the published estimates from three large population-based studies. Secondly, to evaluate age-related changes in the various retinal layers, optical coherence tomography images were obtained from 150 of the patients and compared to a healthy control group, from a previous study. Thirdly, venous blood was sampled from 63 patients to determine the JAK2V617F allele burden and neutrophil-to-lymphocyte ratio (NLR), a marker of systemic inflammation, in MPN patients with and without drusen. FINDINGS Patients with MPNs had an increased risk of having large drusen compared to the three population-based studies OR 5·7 (95%CI, 4·1-8·0), OR 6·0 (95%CI, 4·2-8·4) and OR 7·0 (95%CI, 5·0-9·7). Also, we found that the retinal site of drusen accumulation - the Bruch's-membrane-retinal-pigment-epithelium-complex was thicker compared to healthy controls, 0·43μm (95%CI 0·17-0·71, p = 0·0014), but there was no sign of accelerated retinal ageing in terms of thinning of the neuroretina. Further, we found that MPN patients with drusen had a higher level of systemic inflammation than MPN patients with no drusen (p = 0·0383). INTERPRETATION Patients with MPNs suffer from accelerated accumulation of subretinal drusen and therefore AMD from an earlier age than healthy individuals. We find that the retinal changes are located only between the neuroretina and the choroidal bloodstream. Further, we find that the drusen accumulation is associated with a higher JAK2V617F allele burden and a higher NLR, suggesting that low-grade chronic inflammation is a part of the pathogenesis of drusen formation and AMD. FUNDING Fight for Sight, Denmark and Region Zealand's research promotion fund.
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Affiliation(s)
- Charlotte Liisborg
- Department of Ophthalmology, Zealand University Hospital, Vestermarksvej 23, 4000 Roskilde, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
- Corresponding author at: Department of Ophthalmology, Zealand University Hospital, Vestermarksvej 23, DK-4000 Roskilde, Denmark.
| | - Marie Krogh Nielsen
- Department of Ophthalmology, Zealand University Hospital, Vestermarksvej 23, 4000 Roskilde, Denmark
| | - Hans Carl Hasselbalch
- Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
- Department of Haematology, Zealand University Hospital, Vestermarksvej 15-17, 4000 Roskilde, Denmark
| | - Torben Lykke Sørensen
- Department of Ophthalmology, Zealand University Hospital, Vestermarksvej 23, 4000 Roskilde, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
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Kim JH, Kim JW, Kim CG, Lee DW. Long-Term Treatment Outcomes in Type 3 Neovascularization: Focus on the Difference in Outcomes between Geographic Atrophy and Fibrotic Scarring. J Clin Med 2020; 9:jcm9041145. [PMID: 32316276 PMCID: PMC7230588 DOI: 10.3390/jcm9041145] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/03/2020] [Accepted: 04/14/2020] [Indexed: 11/29/2022] Open
Abstract
Background: To evaluate the difference in the long-term treatment outcomes of type 3 neovascularization between eyes with geographic atrophy and those with fibrotic scars. Methods: This retrospective study included 195 eyes diagnosed with type 3 neovascularization and treated with anti-vascular endothelial growth factor (VEGF) agents. The included eyes were divided into three groups according to the fundus findings at the final visit: patients with fovea-involving geographic atrophy (GA group), patients with fovea-involving fibrotic scars (scar group), and patients with no fovea-involving geographic atrophy or fibrotic scars (non-GA/scar group). The best-corrected visual acuities (BCVA) of the three groups at the final visits were compared. Results: The mean follow-up period was 47.5 ± 20.7 months. The mean logMAR BCVA at the final visit was 1.18 ± 0.58 in the GA group (n = 58), 1.67 ± 0.58 in the scar group (n = 62), and 0.69 ± 0.64 in the non-GA/scar group (n = 75). The BCVA was significantly worse in the scar group than in the GA (p < 0.001) and the non-GA/scar groups (p < 0.001). Conclusion: Eyes with fibrotic scars showed the poorest visual outcomes in type 3 neovascularization among the studied groups. Preventing the development of fibrotic scars should be considered an important treatment goal.
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Affiliation(s)
- Jae Hui Kim
- Correspondence: ; Tel.: +82-2-2639-7664; Fax: +82-2-2639-7824
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Singh SR, Parameswarappa DC, Govindahari V, Lupidi M, Chhablani J. Clinical and angiographic characterization of choroidal neovascularization in diabetic retinopathy. Eur J Ophthalmol 2020; 31:584-591. [PMID: 31984769 DOI: 10.1177/1120672120902027] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND To report the clinical and angiographic characteristics of choroidal neovascularization in patients with diabetic retinopathy. METHODS Patients of type 2 diabetes mellitus with presence of choroidal neovascularization in at least one eye were retrospectively analyzed. The study eyes were divided into three groups based on presence (active or scarred) or absence of choroidal neovascularization (fellow eyes). Imaging characteristics of active choroidal neovascularization were recorded using optical coherence tomography, fluorescein, and indocyanine angiography. Central macular thickness, subfoveal choroidal thickness, and large choroidal vessel layer thickness were compared at baseline and final visit. RESULTS Our study reports the prevalence rate of choroidal neovascularization in eyes with diabetic retinopathy (0.27%; 36 out of 13,382 eyes). A total of 64 eyes of 32 patients (age, mean ± standard deviation: 68.5 ± 9.3 years) with baseline visual acuity of 0.69 ± 0.69 logarithm of minimum angle of resolution (Snellen equivalent 20/100) were included. Nonproliferative diabetic retinopathy (57 eyes) comprised the majority followed by proliferative diabetic retinopathy (7 eyes). Eyes with choroidal neovascularization (36, 56.25%) included both active (25) and scarred (11) choroidal neovascularization, with bilateral choroidal neovascularization in 4 patients. Type 1 choroidal neovascularization was the most common subtype of choroidal neovascularization on optical coherence tomography. Common etiologies for active choroidal neovascularization included age-related macular degeneration (3; 12%), myopia (1; 4%), and inflammatory choroidal neovascularization secondary to chorioretinitis (1; 4%). In the remaining 20 eyes, choroidal neovascularization formation was primarily due to diabetic choroidopathy. CONCLUSION The prevalence of choroidal neovascularization in eyes with diabetic retinopathy is very low, with a lower prevalence of age-related macular degeneration. Diabetic choroidopathy plays a significant role in formation of choroidal neovascularization in eyes with diabetic retinopathy.
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Affiliation(s)
- Sumit Randhir Singh
- Smt. Kanuri Santhamma Centre for Vitreo Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India.,Retina and Uveitis Department, L V Prasad Eye Institute, GMR Varalakshmi Campus, Visakhapatnam, India
| | - Deepika C Parameswarappa
- Smt. Kanuri Santhamma Centre for Vitreo Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India.,Academy for Eye Care Education, L V Prasad Eye Institute, Hyderabad, India
| | - Vishal Govindahari
- Smt. Kanuri Santhamma Centre for Vitreo Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India.,Retina and Uveitis Service, L V Prasad Eye Institute, MTC Campus, Bhubaneswar, India
| | - Marco Lupidi
- Department of Biochemical and Surgical Sciences, Section of Ophthalmology, University of Perugia, Perugia, Italy
| | - Jay Chhablani
- Smt. Kanuri Santhamma Centre for Vitreo Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India
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Mastropasqua L, Perilli R, D'Aloisio R, Toto L, Mastropasqua A, Donato S, Taraborrelli M, Ginestra F, Porta M, Consoli A. Why Miss the Chance? Incidental Findings while Telescreening for Diabetic Retinopathy. Ophthalmic Epidemiol 2020; 27:237-245. [PMID: 31958252 DOI: 10.1080/09286586.2020.1715450] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE To report on incidental pathological findings met while screening for Diabetic Retinopathy (DR) in Diabetes Clinics (DC) by ophthalmologist-graded digital fundus imaging. METHODS At the DC of Pescara (central Italy), for 3,859 eyes of 1,930 consecutive patients having not undergone fundus examination in the last year, two mydriatic fundus digital images, taken with a CenterVue DRS Digital Retinal Camera, were sent along with Best Corrected Visual Acuity, on a "store-and-forward" basis, to an ophthalmologist trained in DR screening, and graded according to the UK Diabetic Eye Screening Programme. Incidental fundus abnormalities other than DR were reported. RESULTS No adverse event to mydriasis was reported. One hundred and eighty eyes (4.66%) were ungradable. Among the 3,679 gradable ones, 1,105 (30.04%) showed different degrees of DR (R1 to R3), and 126 (3.42%) maculopathy (M1). Any Age-Related Macular Degeneration was present in 387 eyes (10.52%), any optic disc and parapapillary area features suspect for glaucoma in 562 eyes (15.27%), any hypertensive retinopathy in 1,263 eyes (34.33%), vitreoretinal interface disease in 252 eyes (6.84%), myopic choroidopathy in 92 eyes (2.50%), disc pallor in 31 eyes (0.84%). Mean time was 5 min for screening, 2 min for grading. CONCLUSION Teleretinography is a well-established, cost-effective procedure in DR screening. Along with increased attendance, locating a digital camera in a DC with a retina-specialist grader results in finding fundus pathologies also beyond DR, very similarly to fundus examination in an outpatient ophthalmic setting.
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Affiliation(s)
- Leonardo Mastropasqua
- Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Roberto Perilli
- Territorial Ophthalmology Unit, Local Health Authority , Pescara, Italy
| | - Rossella D'Aloisio
- Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Lisa Toto
- Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Alessandra Mastropasqua
- Ophthalmology Clinic, Department of Medicine and Science of Ageing, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Simone Donato
- Chair of Endocrinology and Metabolic Diseases, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Merilda Taraborrelli
- Chair of Endocrinology and Metabolic Diseases, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Federica Ginestra
- Chair of Endocrinology and Metabolic Diseases, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
| | - Massimo Porta
- Chair of Internal Medicine, Department Of Medical Sciences, University of Turin , Turin, Italy
| | - Agostino Consoli
- Chair of Endocrinology and Metabolic Diseases, University G. d'Annunzio Chieti-Pescara , Chieti, Italy
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Pool FM, Kiel C, Serrano L, Luthert PJ. Repository of proposed pathways and protein-protein interaction networks in age-related macular degeneration. NPJ Aging Mech Dis 2020; 6:2. [PMID: 31934346 PMCID: PMC6946811 DOI: 10.1038/s41514-019-0039-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/18/2019] [Indexed: 12/21/2022] Open
Abstract
Age-related macular degeneration (AMD) is one of the commonest causes of sight loss in the elderly population and to date there is no intervention that slows or prevents early AMD disease progressing to blinding neovascularization or geographic atrophy. AMD is a complex disease and factors proposed to contribute to the development and progression of disease include aging, genetics, epigenetics, oxidative stress, pro-inflammatory state, and life-style factors such as smoking, alcohol, and high fat diet. Here, we generate a knowledge repository of pathways and protein–protein interaction (PPI) networks likely to be implicated in AMD pathogenesis, such as complement activation, lipid trafficking and metabolism, vitamin A cycle, oxidative stress, proteostasis, bioenergetics, autophagy/mitophagy, extracellular matrix (ECM) turnover, and choroidal vascular dropout. Two disctinct clusters ermerged from the networks for parainflamation and ECM homeostasis, which may represent two different disease modules underlying AMD pathology. Our analyses also suggest that the disease manifests primarily in RPE/choroid and less in neural retina. The use of standardized syntax when generating maps of these biological processes (SBGN standard) and networks (PSI standard) enables visualization of complex information in graphical programs such as CellDesigner and Cytoscape and enhances reusability and extension of data. The ability to focus onto subnetworks, multiple visualizations and simulation options will enable the AMD research community to computationally model subnetworks or to test experimentally new hypotheses arising from connectivities in the AMD pathway map.
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Affiliation(s)
- Fran M Pool
- 1UCL Institute of Ophthalmology, and NIHR Moorfields Biomedical Research Centre, University College London, 11-43 Bath Street, London, EC1V 9EL UK
| | - Christina Kiel
- 2Systems Biology Ireland & Charles Institute of Dermatology & School of Medicine, University College Dublin, Belfield Dublin, 4 Ireland
| | - Luis Serrano
- 3Centre for Genomic Regulation (CRG), Systems Biology Programme. The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain.,4Universitat Pompeu Fabra (UPF), Barcelona, 08003 Spain.,5Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluis Companys 23, Barcelona, 08010 Spain
| | - Philip J Luthert
- 1UCL Institute of Ophthalmology, and NIHR Moorfields Biomedical Research Centre, University College London, 11-43 Bath Street, London, EC1V 9EL UK
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Lipecz A, Miller L, Kovacs I, Czakó C, Csipo T, Baffi J, Csiszar A, Tarantini S, Ungvari Z, Yabluchanskiy A, Conley S. Microvascular contributions to age-related macular degeneration (AMD): from mechanisms of choriocapillaris aging to novel interventions. GeroScience 2019; 41:813-845. [PMID: 31797238 PMCID: PMC6925092 DOI: 10.1007/s11357-019-00138-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 11/12/2019] [Indexed: 12/13/2022] Open
Abstract
Aging of the microcirculatory network plays a central role in the pathogenesis of a wide range of age-related diseases, from heart failure to Alzheimer's disease. In the eye, changes in the choroid and choroidal microcirculation (choriocapillaris) also occur with age, and these changes can play a critical role in the pathogenesis of age-related macular degeneration (AMD). In order to develop novel treatments for amelioration of choriocapillaris aging and prevention of AMD, it is essential to understand the cellular and functional changes that occur in the choroid and choriocapillaris during aging. In this review, recent advances in in vivo analysis of choroidal structure and function in AMD patients and patients at risk for AMD are discussed. The pathophysiological roles of fundamental cellular and molecular mechanisms of aging including oxidative stress, mitochondrial dysfunction, and impaired resistance to molecular stressors in the choriocapillaris are also considered in terms of their contribution to the pathogenesis of AMD. The pathogenic roles of cardiovascular risk factors that exacerbate microvascular aging processes, such as smoking, hypertension, and obesity as they relate to AMD and choroid and choriocapillaris changes in patients with these cardiovascular risk factors, are also discussed. Finally, future directions and opportunities to develop novel interventions to prevent/delay AMD by targeting fundamental cellular and molecular aging processes are presented.
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Affiliation(s)
- Agnes Lipecz
- Translational Geroscience Laboratory, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Ophthalmology, Josa Andras Hospital, Nyiregyhaza, Hungary
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | - Lauren Miller
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Cell Biology, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd. BMSB553, Oklahoma City, OK, 73104, USA
| | - Illes Kovacs
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
- Department of Ophthalmology, Weill Cornell Medical College, New York City, NY, USA
| | - Cecília Czakó
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | - Tamas Csipo
- Translational Geroscience Laboratory, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- International Training Program in Geroscience, Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Judit Baffi
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Anna Csiszar
- Translational Geroscience Laboratory, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- International Training Program in Geroscience, Theoretical Medicine Doctoral School, University of Szeged, Szeged, Hungary
| | - Stefano Tarantini
- Translational Geroscience Laboratory, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- International Training Program in Geroscience, Theoretical Medicine Doctoral School, University of Szeged, Szeged, Hungary
| | - Zoltan Ungvari
- Translational Geroscience Laboratory, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- International Training Program in Geroscience, Theoretical Medicine Doctoral School, University of Szeged, Szeged, Hungary
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andriy Yabluchanskiy
- Translational Geroscience Laboratory, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Shannon Conley
- Vascular Cognitive Impairment and Neurodegeneration Program, Center for Geroscience and Healthy Brain Aging/Reynolds Oklahoma Center on Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Cell Biology, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd. BMSB553, Oklahoma City, OK, 73104, USA.
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Pockpa ZAD, Struillou X, Kone D, Mobio GS, Soueidan A, Badran Z. Periodontal Diseases and Age-Related Macular Degeneration: Is There a Link? A Review. Perm J 2019; 23:18.260. [PMID: 31926570 PMCID: PMC6836525 DOI: 10.7812/tpp/18.260] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Age-related macular degeneration (AMD) induces irreversible loss of vision in older people. The exact physiopathology remains unclear, but numerous studies highlight the role of inflammation and multiple risk factors. Recent data show an altered periodontal condition subject to AMD. Periodontal diseases lead to the destruction of tooth-supporting tissues, mainly caused by the periodontal infection inducing a chronic inflammation. Periodontal diseases are known to be associated with several extraoral diseases such as diabetes, polyarthritis (rheumatoid arthritis), cardiovascular disease, and preeclampsia. OBJECTIVES To assess emerging evidence suggesting an association between periodontitis and AMD. METHODS To support this review, we performed a literature search using PubMed, Cochrane, and Google Scholar databases, completed by manual searches in periodontology journals. We included only the original studies published before July 2017 reporting data on periodontal diseases and AMD. No restrictions were made on the language. RESULTS Persons with AMD showed more periodontal diseases, fewer teeth, and more alveolar bone loss than those without AMD. Also, a significant association was observed between periodontal diseases and AMD, but only in the youngest individuals studied. CONCLUSION According to the studies included in this review, periodontal disease may be a plausible risk factor for AMD and may have a potential role in the earlier stages of this eye disease. Further studies should be encouraged for better understanding of this potential new relationship.
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Affiliation(s)
- Zocko Ange Désiré Pockpa
- Dental College, University of Nantes, France
- Clinic Unit of Investigation Odontologie, Dental College, University of Nantes, France
| | | | - Dramane Kone
- Department of Periodontology, Dental College, Felix Houphouet Boigny University, Abidjan, Cote d’Ivoire
| | - Gnaba Samson Mobio
- Department of Periodontology, Dental College, Felix Houphouet Boigny University, Abidjan, Cote d’Ivoire
| | - Assem Soueidan
- Clinic Unit of Investigation Odontologie, Dental College, University of Nantes, France
- Centre Hospitalier Universitaire de Nantes, France
| | - Zahi Badran
- Centre Hospitalier Universitaire de Nantes, France
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