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Mellor J, Jeyam A, Beulens JW, Bhandari S, Broadhead G, Chew E, Fickweiler W, van der Heijden A, Gordin D, Simó R, Snell-Bergeon J, Tynjälä A, Colhoun H. Role of Systemic Factors in Improving the Prognosis of Diabetic Retinal Disease and Predicting Response to Diabetic Retinopathy Treatment. OPHTHALMOLOGY SCIENCE 2024; 4:100494. [PMID: 38694495 PMCID: PMC11061755 DOI: 10.1016/j.xops.2024.100494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 02/02/2024] [Accepted: 02/12/2024] [Indexed: 05/04/2024]
Abstract
Topic To review clinical evidence on systemic factors that might be relevant to update diabetic retinal disease (DRD) staging systems, including prediction of DRD onset, progression, and response to treatment. Clinical relevance Systemic factors may improve new staging systems for DRD to better assess risk of disease worsening and predict response to therapy. Methods The Systemic Health Working Group of the Mary Tyler Moore Vision Initiative reviewed systemic factors individually and in multivariate models for prediction of DRD onset or progression (i.e., prognosis) or response to treatments (prediction). Results There was consistent evidence for associations of longer diabetes duration, higher glycosylated hemoglobin (HbA1c), and male sex with DRD onset and progression. There is strong trial evidence for the effect of reducing HbA1c and reducing DRD progression. There is strong evidence that higher blood pressure (BP) is a risk factor for DRD incidence and for progression. Pregnancy has been consistently reported to be associated with worsening of DRD but recent studies reflecting modern care standards are lacking. In studies examining multivariate prognostic models of DRD onset, HbA1c and diabetes duration were consistently retained as significant predictors of DRD onset. There was evidence of associations of BP and sex with DRD onset. In multivariate prognostic models examining DRD progression, retinal measures were consistently found to be a significant predictor of DRD with little evidence of any useful marginal increment in prognostic information with the inclusion of systemic risk factor data apart from retinal image data in multivariate models. For predicting the impact of treatment, although there are small studies that quantify prognostic information based on imaging data alone or systemic factors alone, there are currently no large studies that quantify marginal prognostic information within a multivariate model, including both imaging and systemic factors. Conclusion With standard imaging techniques and ways of processing images rapidly evolving, an international network of centers is needed to routinely capture systemic health factors simultaneously to retinal images so that gains in prediction increment may be precisely quantified to determine the usefulness of various health factors in the prognosis of DRD and prediction of response to treatment. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Joe Mellor
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Anita Jeyam
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital Crewe Road, Edinburgh, Scotland
| | - Joline W.J. Beulens
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands
| | - Sanjeeb Bhandari
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Geoffrey Broadhead
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Emily Chew
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Ward Fickweiler
- Beetham Eye Institute, Joslin Diabetes Center, Boston, Massachusetts
- Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts
| | - Amber van der Heijden
- Department of General Practice, Amsterdam Public Health Institute, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands
| | - Daniel Gordin
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Department of Nephrology, Helsinki University Hospital, University of Helsinki, Finland
| | - Rafael Simó
- Endocrinology & Nutrition, Institut de Recerca Hospital Universitari Vall d’Hebron (VHIR), Barcelona, Spain
| | - Janet Snell-Bergeon
- Clinical Epidemiology Division, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Colorado
| | - Anniina Tynjälä
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Department of Nephrology, Helsinki University Hospital, University of Helsinki, Finland
| | - Helen Colhoun
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital Crewe Road, Edinburgh, Scotland
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Li X, Owen LA, Taylor KD, Ostmo S, Chen YDI, Coyner AS, Sonmez K, Hartnett ME, Guo X, Ipp E, Roll K, Genter P, Chan RVP, DeAngelis MM, Chiang MF, Campbell JP, Rotter JI. Genome-wide association identifies novel ROP risk loci in a multiethnic cohort. Commun Biol 2024; 7:107. [PMID: 38233474 PMCID: PMC10794688 DOI: 10.1038/s42003-023-05743-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 12/26/2023] [Indexed: 01/19/2024] Open
Abstract
We conducted a genome-wide association study (GWAS) in a multiethnic cohort of 920 at-risk infants for retinopathy of prematurity (ROP), a major cause of childhood blindness, identifying 1 locus at genome-wide significance level (p < 5×10-8) and 9 with significance of p < 5×10-6 for ROP ≥ stage 3. The most significant locus, rs2058019, reached genome-wide significance within the full multiethnic cohort (p = 4.96×10-9); Hispanic and European Ancestry infants driving the association. The lead single nucleotide polymorphism (SNP) falls in an intronic region within the Glioma-associated oncogene family zinc finger 3 (GLI3) gene. Relevance for GLI3 and other top-associated genes to human ocular disease was substantiated through in-silico extension analyses, genetic risk score analysis and expression profiling in human donor eye tissues. Thus, we identify a novel locus at GLI3 with relevance to retinal biology, supporting genetic susceptibilities for ROP risk with possible variability by race and ethnicity.
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Affiliation(s)
- Xiaohui Li
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Leah A Owen
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT, USA.
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA.
- Department of Ophthalmology, University at Buffalo the State University of New York, Buffalo, NY, USA.
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Susan Ostmo
- Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Aaron S Coyner
- Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA
| | - Kemal Sonmez
- Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA
| | | | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Eli Ipp
- Division of Endocrinology and Metabolism, Department of Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kathryn Roll
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pauline Genter
- Division of Endocrinology and Metabolism, Department of Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R V Paul Chan
- Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, USA
| | - Margaret M DeAngelis
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Department of Ophthalmology, University at Buffalo the State University of New York, Buffalo, NY, USA
- Department of Biochemistry; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo/State University of New York (SUNY), Buffalo, NY, USA
- Department of Neuroscience; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo/State University of New York (SUNY), Buffalo, NY, USA
- Department of Genetics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo/State University of New York (SUNY), Buffalo, NY, USA
| | - Michael F Chiang
- National Eye Institute, National Institutes of Health, Bethesda, MD, USA
- National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - J Peter Campbell
- Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA.
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Miller AM, Gill MK. A Review of the Prevalence of Ophthalmologic Diseases in Native American Populations. Am J Ophthalmol 2023; 254:54-61. [PMID: 37336384 DOI: 10.1016/j.ajo.2023.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 06/08/2023] [Accepted: 06/10/2023] [Indexed: 06/21/2023]
Abstract
PURPOSE Compared with the general population in North America, Native American/American Indian and Alaska Native (AI/AN) populations experience a disparate prevalence of eye diseases. Visual impairment is a barrier to communication, interferes with academic and social success, and decreases overall quality of life. The prevalence of ocular pathology could serve as an indicator of health and social disparities. Therefore, the objective of this research was to perform a thorough review comparing the prevalence of common ophthalmological pathologies between AI/AN and non-AI/AN individuals in North America. DESIGN Retrospective, cross-sectional study. METHODS A total of 57 articles were retrieved and reviewed, and 14 met the criteria outlined for inclusion. These articles were retrieved from PubMed, MEDLINE, and ISI Web of Knowledge. Only studies that were peer reviewed in the last 25 years and reported on the prevalence of eye diseases in AI/AN compared with a non-AI/AN population met criteria. RESULTS Rates of retinopathy, cataracts, visual impairment, and blindness were clearly higher for AI/AN compared with non-AI/AN counterparts. Although rates of macular degeneration and glaucoma were similar between AI/AN and non-AI/AN populations, the treatment rates were lower and associated with poorer outcomes in AI/AN individuals. CONCLUSIONS There are considerable inequities in the prevalence and treatment rates of ophthalmologic conditions in AI/AN individuals. A likely explanation is the barrier of lack of access to adequate health and eye care. Because of substantial underinsurance and geographic variability, attention needs to be brought to expanding eye care access to AI/AN communities. The results are subject to the availability of appropriate technology, health literacy, and language.
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Affiliation(s)
- Alyssa M Miller
- From the Department of Ophthalmology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA (A.M.M., M.K.G.)
| | - Manjot K Gill
- From the Department of Ophthalmology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA (A.M.M., M.K.G.)..
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Perais J, Agarwal R, Evans JR, Loveman E, Colquitt JL, Owens D, Hogg RE, Lawrenson JG, Takwoingi Y, Lois N. Prognostic factors for the development and progression of proliferative diabetic retinopathy in people with diabetic retinopathy. Cochrane Database Syst Rev 2023; 2:CD013775. [PMID: 36815723 PMCID: PMC9943918 DOI: 10.1002/14651858.cd013775.pub2] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
BACKGROUND Diabetic retinopathy (DR) is characterised by neurovascular degeneration as a result of chronic hyperglycaemia. Proliferative diabetic retinopathy (PDR) is the most serious complication of DR and can lead to total (central and peripheral) visual loss. PDR is characterised by the presence of abnormal new blood vessels, so-called "new vessels," at the optic disc (NVD) or elsewhere in the retina (NVE). PDR can progress to high-risk characteristics (HRC) PDR (HRC-PDR), which is defined by the presence of NVD more than one-fourth to one-third disc area in size plus vitreous haemorrhage or pre-retinal haemorrhage, or vitreous haemorrhage or pre-retinal haemorrhage obscuring more than one disc area. In severe cases, fibrovascular membranes grow over the retinal surface and tractional retinal detachment with sight loss can occur, despite treatment. Although most, if not all, individuals with diabetes will develop DR if they live long enough, only some progress to the sight-threatening PDR stage. OBJECTIVES: To determine risk factors for the development of PDR and HRC-PDR in people with diabetes and DR. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL; which contains the Cochrane Eyes and Vision Trials Register; 2022, Issue 5), Ovid MEDLINE, and Ovid Embase. The date of the search was 27 May 2022. Additionally, the search was supplemented by screening reference lists of eligible articles. There were no restrictions to language or year of publication. SELECTION CRITERIA: We included prospective or retrospective cohort studies and case-control longitudinal studies evaluating prognostic factors for the development and progression of PDR, in people who have not had previous treatment for DR. The target population consisted of adults (≥18 years of age) of any gender, sexual orientation, ethnicity, socioeconomic status, and geographical location, with non-proliferative diabetic retinopathy (NPDR) or PDR with less than HRC-PDR, diagnosed as per standard clinical practice. Two review authors independently screened titles and abstracts, and full-text articles, to determine eligibility; discrepancies were resolved through discussion. We considered prognostic factors measured at baseline and any other time points during the study and in any clinical setting. Outcomes were evaluated at three and eight years (± two years) or lifelong. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data from included studies using a data extraction form that we developed and piloted prior to the data collection stage. We resolved any discrepancies through discussion. We used the Quality in Prognosis Studies (QUIPS) tool to assess risk of bias. We conducted meta-analyses in clinically relevant groups using a random-effects approach. We reported hazard ratios (HR), odds ratios (OR), and risk ratios (RR) separately for each available prognostic factor and outcome, stratified by different time points. Where possible, we meta-analysed adjusted prognostic factors. We evaluated the certainty of the evidence with an adapted version of the GRADE framework. MAIN RESULTS: We screened 6391 records. From these, we identified 59 studies (87 articles) as eligible for inclusion. Thirty-five were prospective cohort studies, 22 were retrospective studies, 18 of which were cohort and six were based on data from electronic registers, and two were retrospective case-control studies. Twenty-three studies evaluated participants with type 1 diabetes (T1D), 19 with type 2 diabetes (T2D), and 17 included mixed populations (T1D and T2D). Studies on T1D included between 39 and 3250 participants at baseline, followed up for one to 45 years. Studies on T2D included between 100 and 71,817 participants at baseline, followed up for one to 20 years. The studies on mixed populations of T1D and T2D ranged from 76 to 32,553 participants at baseline, followed up for four to 25 years. We found evidence indicating that higher glycated haemoglobin (haemoglobin A1c (HbA1c)) levels (adjusted OR ranged from 1.11 (95% confidence interval (CI) 0.93 to 1.32) to 2.10 (95% CI 1.64 to 2.69) and more advanced stages of retinopathy (adjusted OR ranged from 1.38 (95% CI 1.29 to 1.48) to 12.40 (95% CI 5.31 to 28.98) are independent risk factors for the development of PDR in people with T1D and T2D. We rated the evidence for these factors as of moderate certainty because of moderate to high risk of bias in the studies. There was also some evidence suggesting several markers for renal disease (for example, nephropathy (adjusted OR ranged from 1.58 (95% CI not reported) to 2.68 (2.09 to 3.42), and creatinine (adjusted meta-analysis HR 1.61 (95% CI 0.77 to 3.36)), and, in people with T1D, age at diagnosis of diabetes (< 12 years of age) (standardised regression estimate 1.62, 95% CI 1.06 to 2.48), increased triglyceride levels (adjusted RR 1.55, 95% CI 1.06 to 1.95), and larger retinal venular diameters (RR 4.28, 95% CI 1.50 to 12.19) may increase the risk of progression to PDR. The certainty of evidence for these factors, however, was low to very low, due to risk of bias in the included studies, inconsistency (lack of studies preventing the grading of consistency or variable outcomes), and imprecision (wide CIs). There was no substantial and consistent evidence to support duration of diabetes, systolic or diastolic blood pressure, total cholesterol, low- (LDL) and high- (HDL) density lipoproteins, gender, ethnicity, body mass index (BMI), socioeconomic status, or tobacco and alcohol consumption as being associated with incidence of PDR. There was insufficient evidence to evaluate prognostic factors associated with progression of PDR to HRC-PDR. AUTHORS' CONCLUSIONS: Increased HbA1c is likely to be associated with progression to PDR; therefore, maintaining adequate glucose control throughout life, irrespective of stage of DR severity, may help to prevent progression to PDR and risk of its sight-threatening complications. Renal impairment in people with T1D or T2D, as well as younger age at diagnosis of diabetes mellitus (DM), increased triglyceride levels, and increased retinal venular diameters in people with T1D may also be associated with increased risk of progression to PDR. Given that more advanced DR severity is associated with higher risk of progression to PDR, the earlier the disease is identified, and the above systemic risk factors are controlled, the greater the chance of reducing the risk of PDR and saving sight.
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Affiliation(s)
- Jennifer Perais
- The Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - Ridhi Agarwal
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jennifer R Evans
- Cochrane Eyes and Vision, Queen's University Belfast, Belfast, UK
| | | | | | | | - Ruth E Hogg
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - John G Lawrenson
- Centre for Applied Vision Research, School of Health Sciences, City University of London, London, UK
| | - Yemisi Takwoingi
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Noemi Lois
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
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Wang Z, Tang J, Jin E, Zhong Y, Zhang L, Han X, Liu J, Cheng Y, Hou J, Shi X, Qi H, Qian T, Yuan L, Hou X, Yin H, Liang J, Zhao M, Huang L, Qu J. Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians. Front Mol Biosci 2022; 9:871291. [PMID: 35755823 PMCID: PMC9224596 DOI: 10.3389/fmolb.2022.871291] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/25/2022] [Indexed: 12/16/2022] Open
Abstract
Purpose: To reveal molecular mechanisms of diabetic retinopathy (DR) in Asians and facilitate the identification of new therapeutic targets through untargeted metabolomics. To determine the differences in serum metabolites and metabolic pathways between different stages of diabetic retinopathy in patients with type 2 diabetic mellitus (T2DM) and proliferative DR (PDR) and non-proliferative DR (NPDR) and identify differential metabolites between T2DM and DR (NPDR and PDR) patients. Methods: This prospective observational registration study described the differential metabolites between 45 T2DM patients and 15 control cases with no significant differences in clinical characteristics. Their biospecimens and clinical information were collected and recorded in their medical reports. DR phenotypes of the subjects were verified by retina specialists. Serum metabolites were analyzed using high-resolution mass spectrometry with liquid chromatography. Untargeted metabolomics was performed on serum samples from 15 T2DM patients, 15 non-proliferative diabetic retinopathy patients, 15 proliferative diabetic retinopathy patients, and 15 diabetic controls. Discriminatory metabolic features were identified through partial least squares discriminant analysis (PLS-DA), hierarchical clustering analysis (HCA), and generalized linear regression models. Result: Through untargeted metabolomics, 931 features (523 in positive and 408 in negative modes) with 102 common metabolites highly relevant to the presence of DR were detected. In the adjusted analysis, 67 metabolic features differed significantly between T2DM and NPDR patients. Pathway analysis revealed alterations in metabolisms of amino acids and fatty acids. Glutamate, phosphatidylcholine, and 13-hydroperoxyoctadeca-9,11-dienoic acid (13-PHODE) were key contributors to these pathway differences. A total of 171 features distinguished PDR patients from T2DM patients, and pathway analysis revealed alterations in amino acid metabolism, fatty acid metabolism, nitrogen metabolism, and tricarboxylic acid cycle. Aspartate, glutamate, glutamine, ornithine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, citrate, succinate, N-(L-arginino)succinate, 2-oxoglutarate, 13-hydroperoxyoctadeca-9,11-dienoic acid, methionine, lysine, threonine, phenylalanine, N(pi)-methyl-l-histidine, phosphatidylcholine, and linoleate were major contributors to the pathway differences. Between NPDR patients and PDR patients, there were 79 significant differential metabolites. Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways. Conclusion: This study demonstrated that the pathways of arginine biosynthesis metabolism, linoleic acid metabolism, alanine, aspartate, and glutamate metabolism, as well as d-glutamine and d-glutamate metabolism, were dysregulated in DR patients of the Asian population. Increased levels of glutamate, aspartate, glutamine, N-acetyl-l-glutamate, and N-acetyl-l-aspartate and decreased levels of dihomo-gamma-linolenate, docosahexaenoic, and icosapentaenoic were considered as the metabolic profile that could distinguish PDR from NPDR in Asians. Phosphatidylcholine and 13-PHODE were identified as two major novel metabolite markers in advanced stages of DR in our study.
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Affiliation(s)
- Zongyi Wang
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jiyang Tang
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Enzhong Jin
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Yusheng Zhong
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Linqi Zhang
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Xinyao Han
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jia Liu
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Yong Cheng
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jing Hou
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Xuan Shi
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Huijun Qi
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Tong Qian
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Li Yuan
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Xianru Hou
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Hong Yin
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jianhong Liang
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Mingwei Zhao
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Lvzhen Huang
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jinfeng Qu
- Department of Ophthalmology, Peking University People's Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
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6
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Wang Z, Tang J, Jin E, Ren C, Li S, Zhang L, Zhong Y, Cao Y, Wang J, Zhou W, Zhao M, Huang L, Qu J. Metabolomic comparison followed by cross-validation of enzyme-linked immunosorbent assay to reveal potential biomarkers of diabetic retinopathy in Chinese with type 2 diabetes. Front Endocrinol (Lausanne) 2022; 13:986303. [PMID: 36157454 PMCID: PMC9492931 DOI: 10.3389/fendo.2022.986303] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE To identify the biomarkers in the critical period of development in diabetic retinopathy (DR) in Chinese with type 2 diabetes using targeted and untargeted metabolomics, and to explore the feasibility of their clinical application. METHODS This case-control study described the differential metabolites between 83 Chinese type 2 diabetes mellitus (T2DM) samples with disease duration ≥ 10 years and 27 controls matched cases. Targeted metabolomics using high-resolution mass spectrometry with liquid chromatography was performed on plasma samples of subjects. The results were compared to our previous untargeted metabolomics study and ELISA was performed to validate the mutual differential metabolites of targeted and untargeted metabolomics on plasma. Multiple linear regression analyses were performed to adjust for the significance of different metabolites between groups. RESULT Mean age of the subjects was 66.3 years and mean T2DM duration was 16.5 years. By cross-validating with results from previous untargeted metabolomic assays, we found that L-Citrulline (Cit), indoleacetic acid (IAA), 1-methylhistidine (1-MH), phosphatidylcholines (PCs), hexanoylcarnitine, chenodeoxycholic acid (CDCA) and eicosapentaenoic acid (EPA) were the most distinctive metabolites biomarkers to distinguish the severity of DR for two different metabolomic approaches in our study. We mainly found that samples in the DR stage showed lower serum level of Cit and higher serum level of IAA compared with samples in the T2DM stage, while during the progression of diabetic retinopathy, the serum levels of CDCA and EPA in PDR stage were significantly lower than NPDR stage. Among them, 4 differential key metabolites including Cit, IAA, CDCA and EPA were confirmed with ELISA. CONCLUSION This is the first study to compare the results of targeted and untargeted metabolomics via liquid chromatography-mass spectrometry to find the serum biomarkers which could reflect the metabolic variations among different stages of DR in Chinese. The progression of DR in Chinese at different critical stages was related to the serum levels of specific differential metabolites, of which there is a significant correlation between DR progression and increased IAA and decreased Cit, hexanoylcarnitine, CDCA, and EPA. However, larger studies are needed to confirm our results. Based on this study, it could be inferred that the accuracy of targeted metabolomics for metabolite expression in serum is to some extent higher than that of untargeted metabolomics.
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Affiliation(s)
- Zongyi Wang
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jiyang Tang
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Enzhong Jin
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Chi Ren
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Siying Li
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Linqi Zhang
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Yusheng Zhong
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Yu Cao
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Jianmin Wang
- Department of Ophthalmology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Wei Zhou
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Mingwei Zhao
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
| | - Lvzhen Huang
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
- *Correspondence: Jinfeng Qu, ; Lvzhen Huang,
| | - Jinfeng Qu
- Department of Ophthalmology, Peking University People’s Hospital, Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, College of Optometry, Peking University Health Science Center, Beijing, China
- *Correspondence: Jinfeng Qu, ; Lvzhen Huang,
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Skol AD, Jung SC, Sokovic AM, Chen S, Fazal S, Sosina O, Borkar PP, Lin A, Sverdlov M, Cao D, Swaroop A, Bebu I, Stranger BE, Grassi MA. Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes. eLife 2020; 9:59980. [PMID: 33164750 PMCID: PMC7728435 DOI: 10.7554/elife.59980] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 11/06/2020] [Indexed: 02/06/2023] Open
Abstract
We determined differential gene expression in response to high glucose in lymphoblastoid cell lines derived from matched individuals with type 1 diabetes with and without retinopathy. Those genes exhibiting the largest difference in glucose response were assessed for association with diabetic retinopathy in a genome-wide association study meta-analysis. Expression quantitative trait loci (eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the eQTLs from the glucose response genes among small association p-values and identified folliculin (FLCN) as a susceptibility gene for diabetic retinopathy. Expression of FLCN in response to glucose was greater in individuals with diabetic retinopathy. Independent cohorts of individuals with diabetes revealed an association of FLCN eQTLs with diabetic retinopathy. Mendelian randomization confirmed a direct positive effect of increased FLCN expression on retinopathy. Integrating genetic association with gene expression implicated FLCN as a disease gene for diabetic retinopathy. One of the side effects of diabetes is loss of vision from diabetic retinopathy, which is caused by injury to the light sensing tissue in the eye, the retina. Almost all individuals with diabetes develop diabetic retinopathy to some extent, and it is the leading cause of irreversible vision loss in working-age adults in the United States. How long a person has been living with diabetes, the extent of increased blood sugars and genetics all contribute to the risk and severity of diabetic retinopathy. Unfortunately, virtually no genes associated with diabetic retinopathy have yet been identified. When a gene is activated, it produces messenger molecules known as mRNA that are used by cells as instructions to produce proteins. The analysis of mRNA molecules, as well as genes themselves, can reveal the role of certain genes in disease. The studies of all genes and their associated mRNAs are respectively called genomics and transcriptomics. Genomics reveals what genes are present, while transcriptomics shows how active genes are in different cells. Skol et al. developed methods to study genomics and transcriptomics together to help discover genes that cause diabetic retinopathy. Genes involved in how cells respond to high blood sugar were first identified using cells grown in the lab. By comparing the activity of these genes in people with and without retinopathy the study identified genes associated with an increased risk of retinopathy in diabetes. In people with retinopathy, the activity of the folliculin gene (FLCN) increased more in response to high blood sugar. This was further verified with independent groups of people and using computer models to estimate the effect of different versions of the folliculin gene. The methods used here could be applied to understand complex genetics in other diseases. The results provide new understanding of the effects of diabetes. They may also help in the development of new treatments for diabetic retinopathy, which are likely to improve on the current approach of using laser surgery or injections into the eye.
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Affiliation(s)
- Andrew D Skol
- Department of Pathology and Laboratory Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, United States
| | - Segun C Jung
- Research and Development, NeoGenomics Laboratories, Aliso Viejo, United States
| | | | - Siquan Chen
- Cellular Screening Center, Office of Shared Research Facilities, The University of Chicago, Chicago, United States
| | - Sarah Fazal
- Cellular Screening Center, Office of Shared Research Facilities, The University of Chicago, Chicago, United States
| | - Olukayode Sosina
- Department of Biostatistics, Johns Hopkins University, Baltimore, United States.,National Eye Institute, National Institutes of Health (NIH), Bethesda, United States
| | | | - Amy Lin
- University of Illinois at Chicago, Chicago, United States
| | - Maria Sverdlov
- University of Illinois at Chicago, Chicago, United States
| | - Dingcai Cao
- University of Illinois at Chicago, Chicago, United States
| | - Anand Swaroop
- National Eye Institute, National Institutes of Health (NIH), Bethesda, United States
| | - Ionut Bebu
- The George Washington University, Biostatistics Center, Rockville, United States
| | | | - Barbara E Stranger
- Department of Pharmacology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States
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8
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Santos DC, de Melo LGN, Pizarro MH, Barros BSV, Negrato CA, Porto LC, Silva DA, Drummond KRG, Muniz LH, Mattos TCL, Pinheiro AA, Mallmann F, Leal FSL, Malerbi FK, Morales PH, Gomes MB. Genomic ancestry as a risk factor for diabetic retinopathy in patients with type 1 diabetes from an admixed population: a nested case-control study in Brazil. Acta Diabetol 2020; 57:937-945. [PMID: 32125531 DOI: 10.1007/s00592-020-01498-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 02/06/2020] [Indexed: 10/24/2022]
Abstract
AIMS The influence of genetic factors on the development and progression of diabetic retinopathy is still unclear. Previous studies showed controversial results. We aimed to characterize the relationship between genomic ancestry and self-reported color/race with severe diabetic retinopathy in patients with type 1 diabetes belonging to a highly admixed population. METHODS This study was a nested case-control based on data collected from a large cross-sectional, nationwide survey conducted in clinics from all five geographic regions of Brazil. For the present study, we included 414 individuals. Cases (n = 176) were considered if they had severe non-proliferative or proliferative diabetic retinopathy, and controls (n = 238) were type 1 diabetes patients without retinopathy, matched for diabetes duration by a range of 5 years. Indirect ophthalmoscopy was performed, and individual genomic ancestry was inferred using a panel of 46 ancestry informative markers. RESULTS The backward stepwise logistic regression analysis showed that African genomic ancestry (OR 3.9, p = 0.045), HbA1c (OR 1.24, p = 0.001), glomerular filtration rate (OR 0.98, p < 0.001) and hypertension (OR 2.52, p < 0.001) were associated with severe diabetic retinopathy after adjusting for clinical and demographic data. Self-reported color/race was not statistically associated with diabetic retinopathy. CONCLUSIONS Genomic ancestry, as well as clinical variables such as hypertension, impaired glomerular filtration rate and poor diabetes control (HbA1c), was important risk factor for the development of severe diabetic retinopathy. Further studies are needed, especially in highly admixed populations, to better understand the role of genomic ancestry and possible genes that might be associated with the development and/or progression of diabetic retinopathy.
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Affiliation(s)
- Deborah Conte Santos
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil.
| | | | - Marcela Haas Pizarro
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| | - Bianca S V Barros
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| | | | - Luís Cristóvão Porto
- Histocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Dayse A Silva
- DNA Diagnostic Laboratory (LDD), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Luiza Harcar Muniz
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
| | | | | | - Felipe Mallmann
- Department of Ophthalmology, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil
| | | | - Fernando Korn Malerbi
- Department of Endocrinology and Ophthalmology, Federal University of São Paulo, São Paulo, Brazil
| | | | - Marília Brito Gomes
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil
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9
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Reddy SS, Prabhakar YK, Kumar CU, Reddy PY, Reddy GB. Effect of vitamin B 12 supplementation on retinal lesions in diabetic rats. Mol Vis 2020; 26:311-325. [PMID: 32355441 PMCID: PMC7190579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 04/22/2020] [Indexed: 10/24/2022] Open
Abstract
Purpose Diabetic retinopathy (DR) is the most common complication of diabetes involving microvasculature and neuronal alterations in the retina. Previously, we reported that vitamin B12 deficiency could be an independent risk factor for DR in humans. However, the effect of vitamin B12 supplementation in experimental DR is unknown. Thus, in this study, we investigated the impact of dietary supplementation of vitamin B12 on retinal changes in diabetic rats. Methods Diabetes was induced in 2-month-old Sprague-Dawley rats and maintained for 4 months. One group of diabetic rats were fed normal levels of vitamin B12, and one group double the quantity of vitamin B12 (50 µg/kg diet). Vitamin B12 and homocysteine levels in the plasma were analyzed with radioimmunoassay (RIA) and high-performance liquid chromatography (HPLC), respectively. At the end of 4 months of experimentation, the eyeballs were collected. Retinal changes were analyzed with hematoxylin and eosin (H&E) staining, immunoblotting, and immunofluorescence methods. Results Dietary supplementation of vitamin B12 had no effect on food intake, bodyweight, fasting blood glucose, and plasma homocysteine levels in the diabetic rats. However, vitamin B12 supplementation prevented loss of rhodopsin, and overexpression of VEGF, and completely prevented overexpression of HIF1α, GFAP, and endoplasmic reticulum (ER) stress markers (GRP78, ATF6α, XBP1, CHOP, and caspase 12) in the diabetic rat retina. Further, vitamin B12 ameliorated apoptosis in the retina as shown with terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) and prevented retinal thinning. Conclusions Vitamin B12 supplementation of diabetic rats appeared to be beneficial by circumventing retinal hypoxia, VEGF overexpression, and ER stress-mediated cell death in the retina. The present study adds another potential therapeutic strategy of vitamin B12 in diabetes.
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10
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Cabrera AP, Mankad RN, Marek L, Das R, Rangasamy S, Monickaraj F, Das A. Genotypes and Phenotypes: A Search for Influential Genes in Diabetic Retinopathy. Int J Mol Sci 2020; 21:ijms21082712. [PMID: 32295293 PMCID: PMC7215289 DOI: 10.3390/ijms21082712] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 12/13/2022] Open
Abstract
Although gene–environment interactions are known to play an important role in the inheritance of complex traits, it is still unknown how a genotype and the environmental factors result in an observable phenotype. Understanding this complex interaction in the pathogenesis of diabetic retinopathy (DR) remains a big challenge as DR appears to be a disease with heterogenous phenotypes with multifactorial influence. In this review, we examine the natural history and risk factors related to DR, emphasizing distinct clinical phenotypes and their natural course in retinopathy. Although there is strong evidence that duration of diabetes and metabolic factors play a key role in the pathogenesis of DR, accumulating new clinical studies reveal that this disease can develop independently of duration of diabetes and metabolic dysfunction. More recently, studies have emphasized the role of genetic factors in DR. However, linkage analyses, candidate gene studies, and genome-wide association studies (GWAS) have not produced any statistically significant results. Our recently initiated genomics study, the Diabetic Retinopathy Genomics (DRGen) Study, aims to examine the contribution of rare and common variants in the development DR, and how they can contribute to clinical phenotype, rate of progression, and response to available therapies. Our preliminary findings reveal a novel set of genetic variants associated with proangiogenic and inflammatory pathways that may contribute to DR pathogenesis. Further investigation of these variants is necessary and may lead to development of novel biomarkers and new therapeutic targets in DR.
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Affiliation(s)
- Andrea P. Cabrera
- Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; (A.P.C.); (R.N.M.); (L.M.); (R.D.); (F.M.)
| | - Rushi N. Mankad
- Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; (A.P.C.); (R.N.M.); (L.M.); (R.D.); (F.M.)
| | - Lauren Marek
- Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; (A.P.C.); (R.N.M.); (L.M.); (R.D.); (F.M.)
| | - Ryan Das
- Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; (A.P.C.); (R.N.M.); (L.M.); (R.D.); (F.M.)
| | - Sampath Rangasamy
- Translational & Genomics Research Institute, Phoenix, AZ 85004, USA;
| | - Finny Monickaraj
- Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; (A.P.C.); (R.N.M.); (L.M.); (R.D.); (F.M.)
- New Mexico VA Health Care System, Albuquerque, NM 87108, USA
| | - Arup Das
- Department of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; (A.P.C.); (R.N.M.); (L.M.); (R.D.); (F.M.)
- New Mexico VA Health Care System, Albuquerque, NM 87108, USA
- Correspondence: ; Tel.: +1-505-272-6120
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11
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Chun LY, Silas MR, Dimitroyannis RC, Ho K, Skondra D. Differences in macular capillary parameters between healthy black and white subjects with Optical Coherence Tomography Angiography (OCTA). PLoS One 2019; 14:e0223142. [PMID: 31596848 PMCID: PMC6785112 DOI: 10.1371/journal.pone.0223142] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 09/13/2019] [Indexed: 12/12/2022] Open
Abstract
Purpose To investigate if there are differences in macular capillaries between black and white subjects using optical coherence tomography angiography (OCTA) and identify potential factors underlying the epidemiologically-based higher vulnerability of black populations to diabetic retinopathy (DR). Methods This prospective, observational cross-sectional study included 93 eyes of 47 healthy subjects with no medical history and ocular history who self-identified as black or white and were matched for age, sex, refractive error, and image quality. Subjects underwent OCTA imaging (RTVue-XR Avanti) of the superficial (SCP) and deep (DCP) capillary plexuses and choriocapillaris. AngioAnalytics was used to analyze vessel density (VD) and choriocapillaris % blood flow area (BFA) in the 1mm-diameter fovea, parafovea, and 3mm-diameter circular area including the fovea and parafovea (3x3mm image). Foveal avascular zone (FAZ) was also analyzed. Linear mixed models were used to evaluate for differences between the study groups. Results Compared to the white subjects in this study, black subjects were found to have: lower foveal VD in the SCP (p<0.05); lower VD in the parafovea and in the 3x3mm image in the DCP (p<0.05); larger FAZ in SCP and DCP (p<0.05); and decreased choriocapillary BFA in the area underlying the fovea, parafovea, and 3x3mm image (p<0.05). Conclusion In our study, our black subjects had decreased macular capillary vasculature compared to matched white subjects, even in early adulthood and the absence of any systemic or ocular conditions. To our knowledge, this is the first report showing that retinal and choriocapillary vascular differences may contribute to racial disparities in vulnerability to DR.
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Affiliation(s)
- Lindsay Y. Chun
- University of Chicago Pritzker School of Medicine, Chicago, IL, United States of America
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL, United States of America
| | - Megan R. Silas
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL, United States of America
| | - Rose C. Dimitroyannis
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL, United States of America
- University of Chicago, Chicago, IL, United States of America
| | - Kimberly Ho
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL, United States of America
- University of Chicago, Chicago, IL, United States of America
| | - Dimitra Skondra
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL, United States of America
- J. Terry Ernest Ocular Imaging Center, University of Chicago Medical Center, Chicago, IL, United States of America
- * E-mail:
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12
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Mora N, Kempen JH, Sobrin L. Diabetic Retinopathy in Hispanics: A Perspective on Disease Burden. Am J Ophthalmol 2018; 196:xviii-xxiv. [PMID: 30138600 DOI: 10.1016/j.ajo.2018.08.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 08/10/2018] [Indexed: 01/30/2023]
Affiliation(s)
- Natalie Mora
- National Institutes of Health, Clinical Endocrine Section, Diabetes, Endocrine and Obesity Brand, Bethesda, Maryland, USA
| | - John H Kempen
- Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA; MCM Eye Unit, MCM General Hospital and MyungSung Medical School, Addis Ababa, Ethiopia
| | - Lucia Sobrin
- Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
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13
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Amezcua L, Beecham AH, Delgado SR, Chinea A, Burnett M, Manrique CP, Gomez R, Comabella M, Montalban X, Ortega M, Tornes L, Lund BT, Islam T, Conti D, Oksenberg JR, McCauley JL. Native ancestry is associated with optic neuritis and age of onset in hispanics with multiple sclerosis. Ann Clin Transl Neurol 2018; 5:1362-1371. [PMID: 30480030 PMCID: PMC6243381 DOI: 10.1002/acn3.646] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/19/2018] [Accepted: 08/21/2018] [Indexed: 11/24/2022] Open
Abstract
Background and Objective Hispanics with multiple sclerosis (MS) present younger and more often with optic neuritis (ON) as compared to Whites in the western United States. Regional differences related to Hispanic genetic admixture could be responsible. We investigated the association between global genetic ancestry and ON and age at onset of MS in Hispanics. Methods Data were obtained for 1033 self‐identified Hispanics with MS from four MS‐based registries from four academic institutions across the United States January 2016–April 2017. Multivariate regression models, utilizing genetic ancestry estimates for Native American (NA), African, and European ancestry, were used to assess the relationship between genetic ancestry and ON presentation and age of MS onset, defined as age at first symptom. Results Genetic ancestry and ON proportions varied by region where NA ancestry and ON proportions were highest among Hispanics in the southwestern United States (40% vs. 19% overall for NA and 38% vs. 25% overall for ON). A strong inverse correlation was observed between NA and European ancestry (r = −0.83). ON presentation was associated with younger age of onset (OR: 0.98; 95% CI: 0.96–0.99; P = 7.80 × 10−03) and increased NA ancestry (OR: 2.35 for the highest versus the lowest quartile of NA ancestry; 95% CI: 1.35–4.10; P = 2.60 × 10−03). Younger age of onset was found to be associated with a higher proportion NA (Beta: −5.58; P = 3.49 × 10−02) and African ancestry (Beta: −10.07; P = 1.39 × 10−03). Interpretation Ethnic differences associated with genetic admixture could influence clinical presentation in Hispanics with MS; underscoring the importance of considering genetic substructure in future clinical, genetic, and epigenetic studies in Hispanics.
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Affiliation(s)
- Lilyana Amezcua
- Department of Neurology Keck School of Medicine University of Southern California Los Angeles California
| | - Ashley H Beecham
- Dr. John T. Macdonald Department of Human Genetics Miller School of Medicine University of Miami Miami Florida.,John P. Hussman Institute of Human Genomics Miller School of Medicine University of Miami Miami Florida
| | - Silvia R Delgado
- Multiple Sclerosis Division Department of Neurology Miller School of Medicine University of Miami Miami Florida
| | - Angel Chinea
- San Juan Multiple Sclerosis Center San Juan Puerto Rico
| | - Margaret Burnett
- Department of Neurology Keck School of Medicine University of Southern California Los Angeles California
| | - Clara Patricia Manrique
- John P. Hussman Institute of Human Genomics Miller School of Medicine University of Miami Miami Florida
| | - Refujia Gomez
- Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles California
| | - Manuel Comabella
- Department of Neurology University of San Francisco School of Medicine Los Angeles California
| | - Xavier Montalban
- Department of Neurology University of San Francisco School of Medicine Los Angeles California
| | - Melissa Ortega
- Multiple Sclerosis Division Department of Neurology Miller School of Medicine University of Miami Miami Florida
| | - Leticia Tornes
- Multiple Sclerosis Division Department of Neurology Miller School of Medicine University of Miami Miami Florida
| | - Brett T Lund
- Department of Neurology Keck School of Medicine University of Southern California Los Angeles California
| | - Talat Islam
- Department de Neurología-Neuroinmunología Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Institut de Recerca Vall d'Hebron Hospital Universitari Vall d'Hebron Universitat Autònoma de Barcelona Barcelona Spain
| | - David Conti
- Department de Neurología-Neuroinmunología Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Institut de Recerca Vall d'Hebron Hospital Universitari Vall d'Hebron Universitat Autònoma de Barcelona Barcelona Spain
| | - Jorge R Oksenberg
- Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles California
| | - Jacob L McCauley
- Dr. John T. Macdonald Department of Human Genetics Miller School of Medicine University of Miami Miami Florida.,John P. Hussman Institute of Human Genomics Miller School of Medicine University of Miami Miami Florida
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14
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Granados-Silvestre MA, Ortiz-López MG, Granados J, Canizales-Quinteros S, Peñaloza-Espinosa RI, Lechuga C, Acuña-Alonzo V, Sánchez-Pozos K, Menjivar M. Susceptibility background for type 2 diabetes in eleven Mexican Indigenous populations: HNF4A gene analysis. Mol Genet Genomics 2017; 292:1209-1219. [PMID: 28688048 DOI: 10.1007/s00438-017-1340-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 06/20/2017] [Indexed: 12/30/2022]
Abstract
The genetic risk of developing type 2 diabetes (T2D) increases in parallel with the proportion of Native American ancestry. Mestizo Mexicans have a 70% Native Amerindian genetic background. The T130I polymorphism in the HNF4A gene has been associated with early-onset T2D in mestizo Mexicans. Thus, the aim of the present study was to evaluate the frequency and relationship of the T130I variant in the HNF4A gene with risk factors for developing T2D in eleven indigenous groups from Mexico. In two groups, all exons of the HNF4A gene were directly sequenced; in the remaining the T130I polymorphism was analyzed by restriction fragment length polymorphism. Ancestry informative markers were assessed to confirm the Amerindian component. An additional analysis of EHH was carried out. Interestingly, HNF4A gene screening revealed only the presence of the T130I polymorphism. The range frequency of the risk allele (T) in the indigenous groups was from 2.7 to 16%. Genotypic frequencies (T130I/I130I) were higher and significantly different from those of all of the populations included in the HapMap Project (P < 0.005). EHH scores suggest a positive selection for T130I polymorphism. Metabolic traits indicate a relationship between the T130I/I130I genotypes with high triglyceride concentrations in the indigenous groups (P < 0.005). These results strongly suggest that the high frequency of the T130I polymorphism and its biological relationship with dysfunction in lipid metabolism in Mexican indigenous groups is a risk factor for the developing of T2D in Mexicans.
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Affiliation(s)
- M A Granados-Silvestre
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
| | - M G Ortiz-López
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
- Laboratorio de Endocrinología Molecular, Hospital Juárez de México, Av. Instituto Politécnico Nacional 5160, Gustavo A. Madero, CP 07760, Mexico City, Mexico
| | - J Granados
- Departamento de Trasplantes, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Belisario Domínguez, Belisario Domínguez Secc 16, CP 14080, Mexico City, Mexico
| | - S Canizales-Quinteros
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México, Instituto Nacional de Medicina Genómica, Periferico Sur 4809, Tlalpan, Arenal Tepepan, CP 14610, Mexico City, Mexico
| | - Rosenda I Peñaloza-Espinosa
- Unidad de Investigación Médica en Genética Humana, Centro Médico Nacional, Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), Av. Cuauhtémoc 300, Cuauhtémoc, CP 06720, Mexico City, Mexico
| | - C Lechuga
- Centro Cultural Universitario "Casa de las Diligencias", Universidad Autónoma del Estado de México, Av Benito Juárez Garcia Sur 114, Centro, CP 50000, Toluca, Mexico State, Mexico
| | - V Acuña-Alonzo
- Escuela Nacional de Antropología e Historia, Instituto Nacional de Antropología e Historia, Mexico City, Mexico
| | - K Sánchez-Pozos
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico
| | - M Menjivar
- Departamento de Biología, Facultad de Química, Universidad Nacional Autónoma de México, Edif. F, 2o piso, Lab. 202, Av Universidad 3000, Circuito Interior S/N, Coyoacán, Cd. Universitaria, CP 04510, Mexico City, Mexico.
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México, Instituto Nacional de Medicina Genómica, Periferico Sur 4809, Tlalpan, Arenal Tepepan, CP 14610, Mexico City, Mexico.
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15
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Nannini DR, Torres M, Chen YDI, Taylor KD, Rotter JI, Varma R, Gao X. A Genome-Wide Association Study of Vertical Cup-Disc Ratio in a Latino Population. Invest Ophthalmol Vis Sci 2017; 58:87-95. [PMID: 28061514 PMCID: PMC5231910 DOI: 10.1167/iovs.16-19891] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose Vertical cup-disc ratio (VCDR) is used as a clinical assessment measure to identify and monitor glaucomatous damage to the optic nerve. Previous genetic studies conducted in European and Asian populations have identified many loci associated with VCDR. The genetic factors in other ethnic populations, such as Latino, influencing VCDR remain to be determined. Here, we describe the first genome-wide association study (GWAS) on VCDR in Latino individuals. Methods We conducted this GWAS on VCDR using 4537 Latino individuals who were genotyped by using either the Illumina OmniExpress BeadChip (∼730K markers) or the Illumina Hispanic/SOL BeadChip (∼2.5 million markers). Study subjects were 40 years of age and older. Linear regression, adjusting for age, sex, and principal components of genetic ancestry, was conducted to assess the associations between single nucleotide polymorphisms (SNPs) and VCDR. We imputed SNPs from the 1000 Genomes Project to integrate additional SNPs not directly genotyped. Results We replicated two previously reported SNPs that reached GWAS significance, rs1900005 and rs7916697, in the ATOH7-PBLD region, as well as identified two suggestive associations in the CDC7-TGFBR3 region on chromosome 1p22.1 and in the ZNF770-DPH6 region on chromosome 15q14. We discovered a novel SNP, rs56238729 (P = 1.22 × 10−13), in the ATOH7-PBLD region that is significantly associated with VCDR in Latino individuals. We replicated eight previously reported regions, including COL8A1, CDKN2B-CDKN2BAS, BMP2, and CHEK2 (P < 2.17 × 10−3). Conclusions Our results discovered a novel SNP that is significantly associated with VCDR in Latino individuals and confirmed previously reported loci, providing further insight into the genetic architecture of VCDR.
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Affiliation(s)
- Drew R Nannini
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
| | - Mina Torres
- USC Roski Eye Institute, Department of Ophthalmology, University of Southern California, Los Angeles, California, United States
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, California, United States
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, California, United States
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, California, United States
| | - Rohit Varma
- USC Roski Eye Institute, Department of Ophthalmology, University of Southern California, Los Angeles, California, United States
| | - Xiaoyi Gao
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
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Abstract
In recent years, the cultivation and expansion of primary corneal cells has made significant progress. The transplantation of cultured limbal epithelial cells represents a successful and established treatment of the ocular surface. Cultivated corneal endothelial cells are undergoing a clinical trial in Japan. Stromal keratocytes can now be expanded in vitro. A wide range of stem cell sources is being tested in vitro and animal models for their possible application in corneal cell therapy. This article gives an overview of recent advancements and prevailing limitations for the use of different cell sources in the therapy of corneal disease.
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Affiliation(s)
- M Fuest
- Klinik für Augenheilkunde, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
- Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapur, Singapur.
| | - G Hin-Fai Yam
- Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapur, Singapur
- Eye-ACP, Duke-NUS Graduate Medical School, Singapur, Singapur
| | - G Swee-Lim Peh
- Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapur, Singapur
- Eye-ACP, Duke-NUS Graduate Medical School, Singapur, Singapur
| | - P Walter
- Klinik für Augenheilkunde, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland
| | - N Plange
- Klinik für Augenheilkunde, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland
| | - J S Mehta
- Tissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapur, Singapur
- Eye-ACP, Duke-NUS Graduate Medical School, Singapur, Singapur
- Singapore National Eye Centre, Singapur, Singapur
- School of Material Science and Engineering, Nanyang Technological University, Singapur, Singapur
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17
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Reply. Ophthalmology 2016; 123:e31-2. [PMID: 27012707 DOI: 10.1016/j.ophtha.2015.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Accepted: 11/04/2015] [Indexed: 11/21/2022] Open
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Nannini D, Torres M, Chen YDI, Taylor KD, Rotter JI, Varma R, Gao X. African Ancestry Is Associated with Higher Intraocular Pressure in Latinos. Ophthalmology 2016; 123:102-8. [PMID: 26477841 PMCID: PMC4695255 DOI: 10.1016/j.ophtha.2015.08.042] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Revised: 08/28/2015] [Accepted: 08/30/2015] [Indexed: 11/24/2022] Open
Abstract
PURPOSE Intraocular pressure (IOP) is a major risk factor, as well as the only modifiable risk factor, for glaucoma. Racial differences have been observed in IOP measurements with individuals of African descent experiencing the highest IOP when compared with other ethnic groups. The purpose of this study was to examine the relationship between genetic ancestry and IOP in Latinos. DESIGN Population-based genetic association study. PARTICIPANTS A total of 3541 participants recruited from the Los Angeles Latino Eye Study. METHODS Study participants were genotyped using the Illumina OmniExpress BeadChip (∼730K markers). We used STRUCTURE to estimate individual genetic ancestry. Simple and multiple linear regression, as well as quantile regression, analyses were performed to investigate the relationship between genetic ancestry and IOP. MAIN OUTCOME MEASURES The relationship between genetic ancestry and IOP in Latinos. RESULTS African ancestry was significantly associated with higher IOP in Latinos in our simple linear regression analysis (P = 0.002). After adjusting for age, gender, body mass index, systolic blood pressure, central corneal thickness, and type 2 diabetes, this association remained significant (P = 0.0005). The main association was modified by a significant interaction between African ancestry and hypertension (P = 0.037), with hypertensive individuals experiencing a greater increase in IOP with increasing African ancestry. CONCLUSIONS To our knowledge, we demonstrate for the first time that African ancestry and its interaction with hypertension are associated with higher IOP in Latinos.
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Affiliation(s)
- Drew Nannini
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois
| | - Mina Torres
- USC Eye Institute, Department of Ophthalmology, University of Southern California, Los Angeles, California
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, California
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, California
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, California
| | - Rohit Varma
- USC Eye Institute, Department of Ophthalmology, University of Southern California, Los Angeles, California
| | - Xiaoyi Gao
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois.
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Tandon A, Chen CJ, Penman A, Hancock H, James M, Husain D, Andreoli C, Li X, Kuo JZ, Idowu O, Riche D, Papavasilieou E, Brauner S, Smith SO, Hoadley S, Richardson C, Kieser T, Vazquez V, Chi C, Fernandez M, Harden M, Cotch MF, Siscovick D, Taylor HA, Wilson JG, Reich D, Wong TY, Klein R, Klein BEK, Rotter JI, Patterson N, Sobrin L. African Ancestry Analysis and Admixture Genetic Mapping for Proliferative Diabetic Retinopathy in African Americans. Invest Ophthalmol Vis Sci 2015; 56:3999-4005. [PMID: 26098467 DOI: 10.1167/iovs.15-16674] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
PURPOSE To examine the relationship between proportion of African ancestry (PAA) and proliferative diabetic retinopathy (PDR) and to identify genetic loci associated with PDR using admixture mapping in African Americans with type 2 diabetes (T2D). METHODS Between 1993 and 2013, 1440 participants enrolled in four different studies had fundus photographs graded using the Early Treatment Diabetic Retinopathy Study scale. Cases (n = 305) had PDR while controls (n = 1135) had nonproliferative diabetic retinopathy (DR) or no DR. Covariates included diabetes duration, hemoglobin A1C, systolic blood pressure, income, and education. Genotyping was performed on the Affymetrix platform. The association between PAA and PDR was evaluated using logistic regression. Genome-wide admixture scanning was performed using ANCESTRYMAP software. RESULTS In the univariate analysis, PDR was associated with increased PAA (odds ratio [OR] = 1.36, 95% confidence interval [CI] = 1.16-1.59, P = 0.0002). In multivariate regression adjusting for traditional DR risk factors, income and education, the association between PAA and PDR was attenuated and no longer significant (OR = 1.21, 95% CI = 0.59-2.47, P = 0.61). For the admixture analyses, the maximum genome-wide score was 1.44 on chromosome 1. CONCLUSIONS In this largest study of PDR in African Americans with T2D to date, an association between PAA and PDR is not present after adjustment for clinical, demographic, and socioeconomic factors. No genome-wide significant locus (defined as having a locus-genome statistic > 5) was identified with admixture analysis. Further analyses with even larger sample sizes are needed to definitively assess if any admixture signal for DR is present.
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Affiliation(s)
- Arti Tandon
- Department of Genetics Harvard Medical School, Boston, Massachusetts, United States 2Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States
| | - Ching J Chen
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Alan Penman
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States 5Department of Biostatistics, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Heather Hancock
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Maurice James
- Ophthalmology, St Dominic's Hospital, Jackson, Mississippi, United States
| | - Deeba Husain
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
| | - Christopher Andreoli
- Visual Services Department, Harvard Vanguard Medical Associates, Boston, Massachusetts, United States
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, LABiomed and Department of Pediatrics, Harbor-UCLA, Torrance, California, United States
| | - Jane Z Kuo
- Institute for Translational Genomics and Population Sciences, LABiomed and Department of Pediatrics, Harbor-UCLA, Torrance, California, United States 10Pathway Genomic Corporation, San Diego, California, United States
| | - Omolola Idowu
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Daniel Riche
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Evangelia Papavasilieou
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
| | - Stacey Brauner
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
| | - Sataria O Smith
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Suzanne Hoadley
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Cole Richardson
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - Troy Kieser
- Visual Services Department, Harvard Vanguard Medical Associates, Boston, Massachusetts, United States
| | - Vanessa Vazquez
- Department of Ophthalmology, Boston Medical Center, Boston, Massachusetts, United States
| | - Cheryl Chi
- Department of Ophthalmology, Boston Medical Center, Boston, Massachusetts, United States
| | - Marlene Fernandez
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Maegan Harden
- Genomics Platform, Broad Institute, Cambridge, Massachusetts, United States
| | - Mary Frances Cotch
- Division of Epidemiology and Clinical Applications, National Eye Institute, Intramural Research Program, National Institutes of Health, Bethesda, Maryland, United States
| | - David Siscovick
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States
| | - Herman A Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - James G Wilson
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States
| | - David Reich
- Department of Genetics Harvard Medical School, Boston, Massachusetts, United States 2Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States
| | - Tien Y Wong
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, National University of Singapore, Singapore 17Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States
| | - Barbara E K Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, LABiomed and Department of Pediatrics, Harbor-UCLA, Torrance, California, United States
| | - Nick Patterson
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States
| | - Lucia Sobrin
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States
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