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Unni P, Lee HJ. Systemic Associations with Keratoconus. Life (Basel) 2023; 13:1363. [PMID: 37374145 DOI: 10.3390/life13061363] [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: 05/06/2023] [Revised: 06/04/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Keratoconus is a disease of the cornea that results in progressive steepening and thinning of the cornea and subsequent vision loss. It nearly always presents as a bilateral disease, suggesting that there is an underlying abnormality of the corneas that becomes manifest with time. However, the mechanisms underlying the development of keratoconus are largely unknown. Associations reported between keratoconus and systemic diseases are abundant in the literature, and the list of possible associations is very long. We found that atopy, Down syndrome, and various connective tissue diseases were the most frequently cited associations in our broad literature search. Additionally, Diabetes Mellitus has been increasingly studied as a possible protective factor against keratoconus. In this review, we have summarized the evidence for and against these particular systemic conditions and keratoconus and have discussed some of the implications of keratoconus patients having these conditions.
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Affiliation(s)
- Prasida Unni
- Chobanian and Avedisian School of Medicine, Boston University, Boston, MA 02118, USA
| | - Hyunjoo Jean Lee
- Chobanian and Avedisian School of Medicine, Boston University, Boston, MA 02118, USA
- Department of Ophthalmology, Boston Medical Center, Boston, MA 02118, USA
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Lanza M, Mozzillo E, Boccia R, Fedi L, Di Candia F, Tinto N, Melillo P, Simonelli F, Franzese A. Analysis of Corneal Deformation in Paediatric Patients Affected by Maturity Onset Diabetes of the Young Type 2. Diagnostics (Basel) 2023; 13:diagnostics13081500. [PMID: 37189601 DOI: 10.3390/diagnostics13081500] [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: 03/16/2023] [Revised: 04/15/2023] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND To evaluate corneal deformation in Maturity Onset Diabetes of the Young type 2 (MODY2), paediatric subjects were analysed using a Scheimpflug-based device. The purpose of this analysis was to find new biomarkers for MODY2 disease and to gain a better understanding of the pathogenesis of the disease. METHODS A total of 15 patients with genetic and metabolic diagnoses of MODY2 (mean age 12.8 ± 5.66 years) and 15 age-matched healthy subjects were included. The biochemical and anthropometric data of MODY2 patients were collected from clinical records, and a complete ophthalmic check with a Pentacam HR EM-3000 Specular Microscope and Corvis ST devices was performed in both groups. RESULTS Highest concavity (HC) deflection length, Applanation 1 (A1) deflection amplitude, and A1 deflection area showed significantly lower values in MODY2 patients compared to healthy subjects. A significant positive correlation was observed between Body Mass Index (BMI) and HC deflection area and between waist circumference (WC) and the following parameters: maximum deformation amplitude, HC deformation amplitude, and HC deflection area. The glycosylated hemoglobin level (HbA1c) showed a significant positive correlation with Applanation 2 time and HC time. CONCLUSIONS The obtained results show, for the first time, differences regarding corneal distortion features in the MODY2 population compared with healthy eyes.
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Affiliation(s)
- Michele Lanza
- Multidisciplinary Department of Medical Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Enza Mozzillo
- Department of Translational Medical Sciences, Regional Center of Pediatric Diabetes, Federico II University of Naples, 80131 Naples, Italy
| | - Rosa Boccia
- Multidisciplinary Department of Medical Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Ludovica Fedi
- Department of Translational Medical Sciences, Regional Center of Pediatric Diabetes, Federico II University of Naples, 80131 Naples, Italy
| | - Francesca Di Candia
- Department of Translational Medical Sciences, Regional Center of Pediatric Diabetes, Federico II University of Naples, 80131 Naples, Italy
| | - Nadia Tinto
- Department of Molecular Medicine and Medical Biotechnology, CEINGE Advanced Biotechnologies, Federico II University of Naples, 80131 Naples, Italy
| | - Paolo Melillo
- Multidisciplinary Department of Medical Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Francesca Simonelli
- Multidisciplinary Department of Medical Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Adriana Franzese
- Department of Translational Medical Sciences, Regional Center of Pediatric Diabetes, Federico II University of Naples, 80131 Naples, Italy
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Sanchis-Gimeno JA, Hasrod N, Calvo-Maroto AM, Nalla S, Cerviño A. Effect of diabetes mellitus on quantitative corneal anatomy – A systemic review. AFRICAN VISION AND EYE HEALTH 2022. [DOI: 10.4102/aveh.v81i1.725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
Background: Corneal changes occur as a direct consequence of diabetes mellitus (DM). The central corneal thickness (CCT) is a useful parameter that provides information about the status of the metabolism of the cornea and can therefore help monitor the progression of DM.Aim: The aim of this study was to determine the impact of DM on CCT and its correlation with diabetes duration and glycated haemoglobin (HbA1c) levels.Methods: The systematic review was undertaken to answer: (1) What effect does DM have on CCT values? (2) What effect does DM duration have on CCT values? (3) What effect does HbA1c levels have on CCT values? The Web of Science was used to conduct a computerised search for articles of CCT values in DM.Results: A total of 38 articles that met the criteria for inclusion were included in this systemic review. The researchers found 27 articles that observed increased CCT values in DM patients compared with control subjects. There were six studies in which increased CCT values were related to DM duration and 12 studies in which DM duration did not alter CCT values. Also, eight studies showed that CCT values increased with glycated haemoglobin levels, and 12 studies did not observe this.Conclusion: Diabetes mellitus patients usually present with increased CCT values although there is no unanimity about the effect of DM duration and increased HbA1c levels (poor glycaemic control) in the CCT values of DM patients.
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Abstract
Background/Aim. Complications of diabetes mellitus (DM) in the eye are the leading cause of blindness in the world. Although research on eye complications of DM is mainly focused on retinal damage, changes in the cornea are also associated with DM. Central corneal thickness (CCT) reflects the metabolic status of the cornea and is also affected by DM. Knowledge of CCT changes that occur within DM is important for accurate IOP measurement, diagnosis, and monitoring of patients with glaucoma. The aim of the study was to examine the effect of DM type 2 on the central corneal thickness. Methods. The study was designed as a clinical, cross-sectional, observational study. It consists of 96 patients, divided into two groups. The first group consisted of 49 patients diagnosed with DM type 2. The second group was the control group and consisted of 47 healthy subjects. The DM group was divided into subgroups depending on the status of diabetic retinopathy, the length of DM treatment, and the levels of glycosylated hemoglobin (HbA1C). Results. A statistically significant difference in CCT was observed among DM patients and the control group. Analyzing only DM patients, the highest CCT values were observed in patients who had HbA1C > 7.0%, as well as those who have treated DM for more than 15 years, with a statistically significant difference in relation to the corresponding patient sub-groups (p = 0.002 and p = 0.037, respectively). No statistically significant difference was observed depending on the status of retinopathy. Intraocular pressure (IOP) was statistically significantly higher in patients with DM compared to the control group. Conclusion. Our research demonstrated that the status of retinopathy had no statistically significant influence on CCT. Knowing that the increase in CCT also affects the measured IOP values, this research will be useful in better understanding and control of the patients who have glaucoma in addition to DM type 2.
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Amador-Muñoz DP, Conforti V, Matheus LM, Molano-Gonzalez N, Payán-Gómez C. Diabetes Mellitus Type 1 has a Higher Impact on Corneal Endothelial Cell Density and Pachymetry than Diabetes Mellitus Type 2, Independent of Age: A Meta-Regression Model. Cornea 2021; 41:965-973. [PMID: 34561313 PMCID: PMC9273301 DOI: 10.1097/ico.0000000000002841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/04/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE Patients with diabetes mellitus (DM) often have keratopathy. However, the compromise of the corneal endothelium in type 1 DM (T1DM) and type 2 DM (T2DM) has so far not been well characterized. METHODS We performed a systematic literature search to find articles on humans combining T1DM and/or T2DM and the corneal endothelium. The period was from inception to June 2020. The meta-regression evaluated the role of each type of DM on corneal endothelial cell density (CED) and pachymetry. The statistical models included age as a modulator to discriminate between the normal changes due to age and the effect of the disease and to determine the impact of the disease duration. RESULTS The initial search identified 752 records, of which 17 were included in the meta-regression. Patients with T1DM had, on average, 193 cells/mm2 lesser than control patients (P < 0.00001). Patients with T2DM had 151 cells/mm2 less compared with control patients (P < 0.00001). The loss of corneal endothelial cells was expected because the aging was similar in patients with T1DM and T2DM and their control groups. Patients with T1DM and T2DM showed an increase in pachymetry versus control patients, and in both groups, it was associated with the duration of the disease. CONCLUSIONS Both types of DM reduced CED and increased pachymetry. These differences were higher in patients with T1DM versus control patients than patients with T2DM versus control patients. In T1DM, CED reduction was not correlated with the time from diagnosis. In both groups, patients had CED reduction due to aging similar to that of their matched control patients.
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Affiliation(s)
- Diana Patricia Amador-Muñoz
- Neuroscience (NEUROS) Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia; School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia; Clinical Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia; and Department of Biology, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia
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Wang X, Xu G, Wang W, Wang J, Chen L, He M, Chen Z. Changes in corneal biomechanics in patients with diabetes mellitus: a systematic review and meta-analysis. Acta Diabetol 2020; 57:973-981. [PMID: 32201905 DOI: 10.1007/s00592-020-01481-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 01/10/2020] [Indexed: 02/07/2023]
Abstract
AIMS To determine the changes in corneal biomechanical parameters in patients with diabetes mellitus (DM) in comparison with controls. METHODS Pertinent studies were identified by comprehensively search of PubMed, Embase, the Web of Science, the Cochrane Library, Scopus, the China National Knowledge Infrastructure and the Chinese biomedical disc (CBM) databases. Pooling analyses by random models using the D-L method were performed for corneal hysteresis (CH), the corneal resistance factor (CRF), corneal-compensated intraocular pressure (IOPcc) and Goldmann-correlated intraocular pressure (IOPg). RESULTS A total of 15 studies were included in the final analysis, involving 1506 eyes in the diabetic group and 2190 eyes in the control group. The diabetic group had significantly higher CH, CRF, IOPg and IOPcc values than the control group. The pooled mean differences were 1.34 mmHg (95% confidence interval [CI] 0.60-2.08 mmHg, P < 0.001) for IOPg and 0.85 mmHg (95% CI 0.18-1.51 mmHg, P = 0.013) for IOPcc, 0.38 mmHg (95% CI 0.01-0.75, P = 0.047) for CH and 0.63 mmHg (95% CI 0.27-0.98, P = 0.001) for the CRF. Sensitivity analyses using the leave-one-out method showed a consistent significant difference between the groups (all P < 0.001). CONCLUSIONS Corneal biomechanics changed in the patients with DM. High CH, CRF, IOPcc and IOPg values may be associated factors for diabetes mellitus. Future studies are warranted to clarify the underlying mechanisms and explore the relationship between corneal biomechanics, glaucoma and diabetes mellitus. REGISTRATION PROSPERO registration No CRD4201705465.
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Affiliation(s)
- Xiaoyi Wang
- Department of Ophthalmology Center, Huizhou Municipal Central Hospital, Huizhou, Guangdong Province, People's Republic of China
| | - Guihua Xu
- Department of Ophthalmology Center, Huizhou Municipal Central Hospital, Huizhou, Guangdong Province, People's Republic of China
| | - Wei Wang
- Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Juanjuan Wang
- Department of Ophthalmology Center, Huizhou Municipal Central Hospital, Huizhou, Guangdong Province, People's Republic of China
| | - Lili Chen
- Department of Ophthalmology Center, Huizhou Municipal Central Hospital, Huizhou, Guangdong Province, People's Republic of China
| | - Mingguang He
- Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Zilin Chen
- Department of Ophthalmology Center, Huizhou Municipal Central Hospital, Huizhou, Guangdong Province, People's Republic of China.
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Richdale K, Chao C, Hamilton M. Eye care providers' emerging roles in early detection of diabetes and management of diabetic changes to the ocular surface: a review. BMJ Open Diabetes Res Care 2020; 8:8/1/e001094. [PMID: 32299899 PMCID: PMC7199150 DOI: 10.1136/bmjdrc-2019-001094] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/20/2020] [Accepted: 03/24/2020] [Indexed: 12/16/2022] Open
Abstract
US adults visit eye care providers more often than primary healthcare providers, placing these doctors in a prime position to help identify and manage patients with prediabetes and diabetes. Currently, diabetes is identified in eye clinics in an advanced stage, only after visible signs of diabetic retinopathy. Recent ophthalmic research has identified multiple subclinical and clinical changes that occur in the anterior segment of the eye with metabolic disease. The corneal epithelium exhibits increased defects and poor healing, including an increased risk of neurotrophic keratitis. Increased thickness and stiffness of the cornea artificially alters intraocular pressure. There is damage to the endothelial cells and changes to the bacterial species on the ocular surface, both of which can increase risk of complications with surgery. Decreased corneal sensitivity due to a loss of nerve density predispose patients with metabolic disease to further neurotrophic complications. Patients with diabetes have increased Meibomian gland dysfunction, blepharitis and reduced tear production, resulting in increased rates of dry eye disease and discomfort. Early detection of metabolic disease may allow eye care providers to be more proactive in recommending referral and intervention in order to reduce the risk of blindness and other diabetes-related morbidity. Continued research is needed to better understand the time course of changes to the anterior segment and what can be done to better detect and diagnose patients with prediabetes or undiagnosed diabetes and provide improved care for these patients.
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Affiliation(s)
- Kathryn Richdale
- College of Optometry, University of Houston, Houston, Texas, USA
| | - Cecilia Chao
- College of Optometry, University of Houston, Houston, Texas, USA
- School of Optometry and Vision Science, University of New South Wales-Kensington Campus, Sydney, New South Wales, Australia
| | - Marc Hamilton
- Health and Human Performance, University of Houston, Houston, Texas, USA
- Biology and Biochemistry, University of Houston, Houston, Texas, USA
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Ramm L, Spoerl E, Pillunat LE, Terai N. Is the Corneal Thickness Profile Altered in Diabetes Mellitus? Curr Eye Res 2020; 45:1228-1234. [PMID: 32180465 DOI: 10.1080/02713683.2020.1741009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Purpose: To investigate the influence of chronic hyperglycemia in diabetes mellitus (DM) on spatial corneal thickness distribution and to analyze the influence of disease-specific factors. Methods: DM patients and healthy subjects were matched according to age and intraocular pressure (IOP). In diabetics, disease duration, DM type, and HbA1c value were assessed. Spatially resolved corneal thickness was measured by Pentacam HR. Thinnest corneal thickness (TCT) and peripheral pachymetry of concentric circles around TCT were determined. The Dynamic Scheimpflug Analyzer Corvis ST (CST) was used to measure the parameter pachy slope, which is an indicator of the change of corneal thickness from the apex to the periphery. Results: 59 DM patients and 57 healthy subjects were included. Age (P = .486) and IOP (P = .154) were not different between the groups. In DM, pachy slope was significantly higher than in healthy subjects (41.1 ± 9.87 vs. 35.18 ± 10.64 μm, P = .004). Also, the differences between TCT and the average of peripheral corneal thickness of concentric circles with a diameter of 2 mm (10.3 ± 1.7 vs. 9.3 ± 3.8 μm, P < .001) to 6 mm (82.2 ± 12.4 vs. 76.8 ± 12.6 μm, P = .011) were increased in patients. Changes in thickness profile were associated with HbA1c value and presence of diabetic retinopathy or maculopathy. Conclusion: In DM, a stronger peripheral corneal thickness increase was detectable. This change was shown using the novel CST parameter pachy slope and confirmed by Pentacam readings. These alterations might affect IOP and biomechanical measurements, and influence refractive procedures.
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Affiliation(s)
- Lisa Ramm
- Department of Ophthalmology, University Hospital Dresden , Dresden, Germany
| | - Eberhard Spoerl
- Department of Ophthalmology, University Hospital Dresden , Dresden, Germany
| | - Lutz E Pillunat
- Department of Ophthalmology, University Hospital Dresden , Dresden, Germany
| | - Naim Terai
- Department of Ophthalmology, University Hospital Dresden , Dresden, Germany
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Laville V, Kang JH, Cousins CC, Iglesias AI, Nagy R, Cooke Bailey JN, Igo RP, Song YE, Chasman DI, Christen WG, Kraft P, Rosner BA, Hu F, Wilson JF, Gharahkhani P, Hewitt AW, Mackey DA, Hysi PG, Hammond CJ, vanDuijn CM, Haines JL, Vitart V, Fingert JH, Hauser MA, Aschard H, Wiggs JL, Khawaja AP, MacGregor S, Pasquale LR. Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes. Am J Ophthalmol 2019; 206:245-255. [PMID: 31121135 PMCID: PMC6864262 DOI: 10.1016/j.ajo.2019.05.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Revised: 05/03/2019] [Accepted: 05/09/2019] [Indexed: 01/05/2023]
Abstract
PURPOSE A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits. DESIGN Cross-sectional study. METHODS We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines. RESULTS Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = -0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10-4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10-10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range -0.18 to 0.11) and nonsignificant (P ≥ .07). CONCLUSION These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.
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Affiliation(s)
- Vincent Laville
- Department of Computational Biology, Institut Pasteur, Paris, France
| | - Jae H Kang
- Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Clara C Cousins
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts, USA
| | - Adriana I Iglesias
- Departments of Ophthalmology and Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Réka Nagy
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Jessica N Cooke Bailey
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Yeunjoo E Song
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - William G Christen
- Division of Preventive Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA
| | - Bernard A Rosner
- Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA
| | - Frank Hu
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom; Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Puya Gharahkhani
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Alex W Hewitt
- Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia; School of Medicine, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - David A Mackey
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, University of Western Australia, Perth, Western Australia, Australia
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom
| | - Christopher J Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom
| | - Cornelia M vanDuijn
- Departments of Ophthalmology and Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jonathan L Haines
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - John H Fingert
- Department of Ophthalmology and Visual Science, University of Iowa, Iowa City, Iowa, USA
| | - Michael A Hauser
- Departments of Ophthalmology and Medicine, Duke University, Durham, North Carolina, USA
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Paris, France; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts, USA
| | - Anthony P Khawaja
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Louis R Pasquale
- Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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An Update on Corneal Biomechanics and Architecture in Diabetes. J Ophthalmol 2019; 2019:7645352. [PMID: 31275634 PMCID: PMC6589322 DOI: 10.1155/2019/7645352] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/02/2019] [Indexed: 12/12/2022] Open
Abstract
In the last decade, we have witnessed substantial progress in our understanding of corneal biomechanics and architecture. It is well known that diabetes is a systemic metabolic disease that causes chronic progressive damage in the main organs of the human body, including the eyeball. Although the main and most widely recognized ocular effect of diabetes is on the retina, the structure of the cornea (the outermost and transparent tissue of the eye) can also be affected by the poor glycemic control characterizing diabetes. The different corneal structures (epithelium, stroma, and endothelium) are affected by specific complications of diabetes. The development of new noninvasive diagnostic technologies has provided a better understanding of corneal tissue modifications. The objective of this review is to describe the advances in the knowledge of the corneal alterations that diabetes can induce.
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Scheimpflug Camera and Swept-Source Optical Coherence Tomography in Pachymetry Evaluation of Diabetic Patients. J Ophthalmol 2019; 2019:4532657. [PMID: 31143471 PMCID: PMC6501162 DOI: 10.1155/2019/4532657] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 02/27/2019] [Accepted: 03/12/2019] [Indexed: 02/07/2023] Open
Abstract
Aim The comparative analysis of the central and peripheral corneal thicknesses using two different imaging systems: Scheimpflug camera and swept-source OCT was performed to investigate the differences in corneal thickness analysis in diabetic patients. Materials and Methods The study group consisted of the 147 eyes of 107 diabetic patients who were examined and compared with 138 eyes of 89 nondiabetic cataract patients. The inclusion criteria for the study group was diabetes mellitus type II identified no less than 10 years ago, with NPDR not requiring prior laser treatment. The control group was recruited from nondiabetic patients. Measurements were obtained on the Pentacam Scheimpflug imaging system and Casia swept-source OCT. All study parameters from anterior chamber images were processed for five different zones, the central zone and four peripherals—superior, inferior, nasal, and temporal. A fit zone diameter of 4 mm was applied for both instruments. Results The Pentacam system overestimated corneal measurements in the DM group when compared with the Casia OCT in superior corneal zone (p=0.04), inferior corneal zone (p=0.02), nasal corneal zone (p < 0.001), and temporal corneal zone (p=0.01). In the control group, there were also statistically significant differences between the Pentacam and Casia OCT measured values in inferior corneal zone (p=0.001), nasal corneal zone (p=0.04), and temporal corneal zone (p < 0.001). Conclusion Scheimpflug camera pachymetry measurements showed statistically higher CCT values when compared with swept-source OCT measurements.
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