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Zhong Y, Xia J, Liao L, Momeni MR. Non-coding RNAs and exosomal non-coding RNAs in diabetic retinopathy: A narrative review. Int J Biol Macromol 2024; 259:128182. [PMID: 37977468 DOI: 10.1016/j.ijbiomac.2023.128182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/06/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
Diabetic retinopathy (DR) is a devastating complication of diabetes, having extensive and resilient effects on those who suffer from it. As yet, the underlying cell mechanisms of this microvascular disorder are largely unclear. Recently, growing evidence suggests that epigenetic mechanisms can be responsible for gene deregulation leading to the alteration of key processes in the development and progression of DR, in addition to the widely recognized pathological mechanisms. It is noteworthy that seemingly unending epigenetic modifications, caused by a prolonged period of hyperglycemia, may be a prominent factor that leads to metabolic memory, and brings epigenetic entities such as non-coding RNA into the equation. Consequently, further investigation is necessary to truly understand this mechanism. Exosomes are responsible for carrying signals from cells close to the vasculature that are participating in abnormal signal transduction to faraway organs and cells by sailing through the bloodstream. These signs indicate metabolic disorders. With the aid of their encased structure, they can store diverse signaling molecules, which then can be dispersed into the blood, urine, and tears. Herein, we summarized various non-coding RNAs (ncRNAs) that are related to DR pathogenesis. Moreover, we highlighted the role of exosomal ncRNAs in this disease.
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Affiliation(s)
- Yuhong Zhong
- Endocrinology Department, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610000, Sichuan, China
| | - Juan Xia
- Endocrinology Department, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610000, Sichuan, China
| | - Li Liao
- Department of Respiratory and Critical Care Medicine 3, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital, Chengdu 610000, Sichuan, China.
| | - Mohammad Reza Momeni
- Institute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
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2
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Zenteno JC, Chacón-Camacho OF, Ordoñez-Labastida V, Miranda-Duarte A, Del Castillo C, Nava J, Mendoza F, Montes-Almanza L, Mora-Roldán G, Gazarian K. Identification of Genetic Variants for Diabetic Retinopathy Risk Applying Exome Sequencing in Extreme Phenotypes. BIOMED RESEARCH INTERNATIONAL 2024; 2024:2052766. [PMID: 38249632 PMCID: PMC10799704 DOI: 10.1155/2024/2052766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/16/2023] [Accepted: 12/23/2023] [Indexed: 01/23/2024]
Abstract
Background Diabetic retinopathy (DR) risk has been shown to vary depending on ethnic backgrounds, and thus, it is worthy that underrepresented populations are analyzed for the potential identification of DR-associated genetic variants. We conducted a case-control study for the identification of DR-risk variants in Mexican population. Methods We ascertained 60 type 2 diabetes mellitus (T2DM) patients. Cases (n = 30) were patients with advanced proliferative DR (PDR) with less than 15 years after a T2DM diagnosis while controls (n = 30) were patients with no DR 15 years after the diagnosis of T2DM. Exome sequencing was performed in all patients, and the frequency of rare variants was compared. In addition, the frequency of variants occurring in a set of 169 DR-associated genes were compared. Results Statistically significant differences were identified for rare missense and splice variants and for rare splice variants occurring more than once in either group. A strong statistical difference was observed when the number of rare missense variants with an aggregated prediction of pathogenicity and occurring more than once in either group was compared (p = 0.0035). Moreover, 8 variants identified more than once in either group, occurring in previously identified DR-associated genes were recognized. The p.Pro234Ser KIR2DS4 variant showed a strong protective effect (OR = 0.04 [0.001-0.36]; p = 0.04). Conclusions Our study showed an enrichment of rare splice acceptor/donor variants in patients with PDR and identified a potential protective variant in KIR2DS4. Although statistical significance was not reached, our results support the replication of 8 previously identified DR-associated genes.
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Affiliation(s)
- Juan C. Zenteno
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
- Faculty of Medicine, Department of Biochemistry, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
- Rare Disease Diagnostic Unit, Faculty of Medicine, UNAM, Mexico City, Mexico
| | - Oscar F. Chacón-Camacho
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
- Laboratorio 5 Edificio A-4, Carrera de Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Mexico
| | - Vianey Ordoñez-Labastida
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
- Rare Disease Diagnostic Unit, Faculty of Medicine, UNAM, Mexico City, Mexico
- Faculty of Medicine, Autonomous University of the State of Morelos (UAEM), Morelos, Mexico
| | - Antonio Miranda-Duarte
- Department of Genomic Medicine, Instituto Nacional de Rehabilitación “Luis Guillermo Ibarra Ibarra”, Mexico City, Mexico
| | - Camila Del Castillo
- Retina Department, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
| | - Jessica Nava
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
| | - Fatima Mendoza
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
| | - Luis Montes-Almanza
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
| | - Germán Mora-Roldán
- Department of Genetics, Institute of Ophthalmology “Conde de Valenciana”, Mexico City, Mexico
| | - Karlen Gazarian
- Biomedical Research Institute, Department of Genomic Medicine, National Autonomous University of Mexico, Mexico City, Mexico
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Rosa JGS, Disner GR, Pinto FJ, Lima C, Lopes-Ferreira M. Revisiting Retinal Degeneration Hallmarks: Insights from Molecular Markers and Therapy Perspectives. Int J Mol Sci 2023; 24:13079. [PMID: 37685886 PMCID: PMC10488251 DOI: 10.3390/ijms241713079] [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: 07/06/2023] [Revised: 08/04/2023] [Accepted: 08/14/2023] [Indexed: 09/10/2023] Open
Abstract
Visual impairment and blindness are a growing public health problem as they reduce the life quality of millions of people. The management and treatment of these diseases represent scientific and therapeutic challenges because different cellular and molecular actors involved in the pathophysiology are still being identified. Visual system components, particularly retinal cells, are extremely sensitive to genetic or metabolic alterations, and immune responses activated by local insults contribute to biological events, culminating in vision loss and irreversible blindness. Several ocular diseases are linked to retinal cell loss, and some of them, such as retinitis pigmentosa, age-related macular degeneration, glaucoma, and diabetic retinopathy, are characterized by pathophysiological hallmarks that represent possibilities to study and develop novel treatments for retinal cell degeneration. Here, we present a compilation of revisited information on retinal degeneration, including pathophysiological and molecular features and biochemical hallmarks, and possible research directions for novel treatments to assist as a guide for innovative research. The knowledge expansion upon the mechanistic bases of the pathobiology of eye diseases, including information on complex interactions of genetic predisposition, chronic inflammation, and environmental and aging-related factors, will prompt the identification of new therapeutic strategies.
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Affiliation(s)
| | | | | | | | - Monica Lopes-Ferreira
- Immunoregulation Unit, Laboratory of Applied Toxinology (CeTICs/FAPESP), Butantan Institute, São Paulo 05503900, Brazil; (J.G.S.R.); (G.R.D.); (F.J.P.); (C.L.)
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4
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Chen C, Ding P, Yan W, Wang Z, Lan Y, Yan X, Li T, Han J. Pharmacological roles of lncRNAs in diabetic retinopathy with a focus on oxidative stress and inflammation. Biochem Pharmacol 2023; 214:115643. [PMID: 37315816 DOI: 10.1016/j.bcp.2023.115643] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/03/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
Diabetic retinopathy (DR) is a complication caused by abnormal glucose metabolism, which affects the vision and quality of life of patients and severely impacts the society at large.DR has a complex pathogenic process. Evidence from multiple studies have shown that oxidative stress and inflammation play pivotal roles in DR.Additionally, with the rapid development of various genetic detection methods, the abnormal expression of long non-coding RNAs (lncRNAs) have been confirmed to promote the development of DR.Research has demonstrated the potential of lncRNAs as ideal biomarkers and theranostic targets in DR. In this narrative review, we will focus on the research results on mechanisms underlying DR, list lncRNAs confirmed to be closely related to these mechanisms, and discuss their potential clinical application value and limitations.
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Affiliation(s)
- Chengming Chen
- Department of Ophthalmology, Tangdu Hospital, The Air Force Military Medical University, Xi'an 710038, China; Department of Ophthalmology, The 900th Hospital of Joint Logistic Support Force, PLA (Clinical Medical College of Fujian Medical University, Dongfang Hospital Affiliated to Xiamen University), Fuzhou 350025, China
| | - Peng Ding
- Department of Thoracic Surgery, Tangdu Hospital, The Air Force Military Medical University, Xi'an 710038, China
| | - Weiming Yan
- Department of Ophthalmology, The 900th Hospital of Joint Logistic Support Force, PLA (Clinical Medical College of Fujian Medical University, Dongfang Hospital Affiliated to Xiamen University), Fuzhou 350025, China
| | - Zhaoyang Wang
- Department of Thoracic Surgery, Tangdu Hospital, The Air Force Military Medical University, Xi'an 710038, China
| | - Yanyan Lan
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Xiaolong Yan
- Department of Thoracic Surgery, Tangdu Hospital, The Air Force Military Medical University, Xi'an 710038, China.
| | - Tian Li
- School of Basic Medicine, Fourth Military Medical University, Xi'an 710032, China.
| | - Jing Han
- Department of Ophthalmology, Tangdu Hospital, The Air Force Military Medical University, Xi'an 710038, China.
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5
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Yu X, Rong S. Genome-Wide Associations and Confirmatory Meta-Analyses in Diabetic Retinopathy. Genes (Basel) 2023; 14:653. [PMID: 36980925 PMCID: PMC10048213 DOI: 10.3390/genes14030653] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/21/2023] [Accepted: 03/03/2023] [Indexed: 03/08/2023] Open
Abstract
The present study aimed to summarize and validate the genomic association signals for diabetic retinopathy (DR), proliferative DR, and diabetic macular edema/diabetic maculopathy. A systematic search of the genome-wide association study (GWAS) catalog and PubMed/MELINE databases was conducted to curate a comprehensive list of significant GWAS discoveries. The top signals were then subjected to meta-analysis using established protocols. The results indicate the need for improved consensus among DR GWASs, highlighting the importance of validation efforts. A subsequent meta-analysis confirmed the association of two SNPs, rs4462262 (ZWINT-MRPS35P3) (odds ratio = 1.38, p = 0.001) and rs7903146 (TCF7L2) (odd ratio = 1.30, p < 0.001), with DR in independent populations, strengthening the evidence of their true association. We also compiled a list of candidate SNPs for further validation. This study highlights the importance of consistent validation and replication efforts in the field of DR genetics. The two identified gene loci warrant further functional investigation to understand their role in DR pathogenesis.
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Affiliation(s)
- Xinting Yu
- Department of Medicine, Brigham and Women’s Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02445, USA
| | - Shisong Rong
- Department of Ophthalmology, Massachusetts Eye and Ear, Mass General Brigham, Harvard Medical School, Boston, MA 02445, USA
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Fickweiler W, Mitzner M, Jacoba CMP, Sun JK. Circulatory Biomarkers and Diabetic Retinopathy in Racial and Ethnic Populations. Semin Ophthalmol 2023:1-11. [PMID: 36710371 DOI: 10.1080/08820538.2023.2168488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Clinical staging systems for diagnosis and treatment of diabetic retinopathy (DR) must closely relate to endpoints that are both relevant for patients and feasible for physicians to implement. Current DR staging systems for clinical eye care and research provide detailed phenotypic characterization to predict patient outcomes in diabetes but have limitations. Biochemical biomarkers provide a rich pool of potential candidates for new DR staging systems that can be readily measured in accessible fluids. Circulating biomarkers that are specific to the retina and relate to angiogenesis and inflammation have been suggested as relevant for DR. Although there is a lack of multi-ethnic studies evaluating circulatory biomarkers in DR, variability in circulatory biomarkers have been reported in people from different ethnic and racial backgrounds. Therefore, there is a need for future studies to evaluate individual or combinations of biomarkers in diverse populations with DR from different ethnic and racial backgrounds.
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Affiliation(s)
- Ward Fickweiler
- Research Division, Joslin Diabetes Center, Boston, MA, USA.,Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA.,Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Margalit Mitzner
- Research Division, Joslin Diabetes Center, Boston, MA, USA.,Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA
| | - Cris Martin P Jacoba
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA.,Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Jennifer K Sun
- Research Division, Joslin Diabetes Center, Boston, MA, USA.,Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA.,Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
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7
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Role of 19 SNPs in 10 genes with type 2 diabetes in the Pakistani population. Gene X 2023; 848:146899. [DOI: 10.1016/j.gene.2022.146899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 08/19/2022] [Accepted: 09/13/2022] [Indexed: 11/19/2022] Open
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Gurung RL, Burdon KP, McComish BJ. A Guide to Genome-Wide Association Study Design for Diabetic Retinopathy. Methods Mol Biol 2023; 2678:49-89. [PMID: 37326705 DOI: 10.1007/978-1-0716-3255-0_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Diabetic retinopathy (DR) is the most common microvascular complication related to diabetes. There is evidence that genetics play an important role in DR pathogenesis, but the complexity of the disease makes genetic studies a challenge. This chapter is a practical overview of the basic steps for genome-wide association studies with respect to DR and its associated traits. Also described are approaches that can be adopted in future DR studies. This is intended to serve as a guide for beginners and to provide a framework for further in-depth analysis.
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Affiliation(s)
- Rajya L Gurung
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
| | - Bennet J McComish
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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9
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Iwasaki H, Shichiri M. Protein arginine N-methyltransferase 1 gene polymorphism is associated with proliferative diabetic retinopathy in a Japanese population. Acta Diabetol 2022; 59:319-327. [PMID: 34648085 DOI: 10.1007/s00592-021-01808-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 09/27/2021] [Indexed: 11/26/2022]
Abstract
AIMS To investigate the effects of single-nucleotide polymorphisms (SNPs) around the protein arginine N-methyltransferase 1 (PRMT1) gene on the incidence and severity of diabetic retinopathy (DR). METHODS A total of 310 Japanese patients with type 2 diabetes mellitus (T2DM) were investigated. Genotyping of ten tagged SNPs were performed by quantitative real-time polymerase chain reaction (qRT-PCR). The association between each SNP genotype and diabetic microangiopathy was assessed using univariate analysis in a dominant model of the minor alleles followed by multivariate logistic regression analysis with the propensity score matching (PSM) method. The effect of disease-related SNP on PRMT1 and hypoxia-inducible factor-1α (HIF-1α) mRNA levels in vivo was evaluated by qRT-PCR. RESULTS In the univariate analysis, the minor A allele at rs374569 and the minor C allele at rs3745468 were associated with DR severity (P = 0.047 and P = 0.003, respectively), but not diabetic nephropathy and peripheral polyneuropathy severity. Multivariate analysis showed that the rs3745468 variant caused an increased incidence of proliferative DR (PDR) (odds ratio 9.37, 95% confidence interval 1.12-78.0, P = 0.039). In the PSM cohort, the patients carrying the rs3745468 variant had lower PRMT1 mRNA levels compared to those without the variant (P = 0.037), and there was an inverse correlation between PRMT1 and HIF-1α mRNA levels (r = -0.233, P = 0.035). CONCLUSIONS The rs3745468 variant in the PRMT1 gene was associated with an increased incidence of PDR in Japanese patients with T2DM and might be involved in the HIF-1-dependent hypoxic pathway through altered PRMT1 levels.
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Affiliation(s)
- Hiroaki Iwasaki
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Toshiba Rinkan Hospital, 7-9-1 Kami-tsuruma, Minami-ku, Sagamihara, Kanagawa, 252-0385, Japan.
- Department of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, Sagamihara, Japan.
| | - Masayoshi Shichiri
- Department of Endocrinology, Diabetes and Metabolism, Kitasato University School of Medicine, Sagamihara, Japan
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10
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Liu JP, Yang AP, Lei G, Yu M, Peng Y, Le AP. Prevalence and clinical characteristics of T2DM patients with OTUD3 gene rs78466831 SNP at a single academic center in China. Front Endocrinol (Lausanne) 2022; 13:1059641. [PMID: 36531510 PMCID: PMC9755877 DOI: 10.3389/fendo.2022.1059641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 11/17/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND A novel, rare OTUD3 c.863G>A (rs78466831) in humans has been reported associated with diabetes, but the prevalence and clinical characteristics of T2DM patients with rs78466831 have not been reported before. OBJECTIVE To investigate the prevalence and clinical characteristics of T2DM patients with rs78466831 and provide a basis for clinical diagnosis and treatment. METHODS OTUD3 gene rs78466831 SNP was detected by Sanger sequencing in all the collected specimens of laboratory-confirmed T2DM patients and healthy people. Clinical characteristics indexes inconsisting of fasting blood glucose (FBG), glycosylated hemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG) and a body mass index (BMI), T2DM-associated chronic complications (myocardial infarction, cerebrovascular disease, retinopathy, arterial plaque, peripheral neuropathy and nephropathy) were obtained from the clinical laboratory information systems and electronic medical record system. Clinical characteristic indicators were compared between the wild-type and variant (rs78466831) patients with T2DM. RESULTS The prevalence of rs78466831 in the T2DM patients group was significantly higher than the healthy control in our academic center. The general characteristic indicators were not significantly different between the wild-type and rs78466831 patients with T2DM, except the family history of diabetes. Clinical laboratory indicators including HbA1c, FBG, OGTT, TC, HDL-C, LDL-C and CP had no significant difference between the two groups. The therapeutic drug and target achievement rates were not significantly different between the two groups. The incidence of diabetic retinopathy in the variant group was significantly higher than the wild-type group. CONCLUSIONS The OTUD3 gene rs78466831 was associated with T2DM and may be a biological risk factor of diabetes retinopathy.
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Affiliation(s)
- Jian-Ping Liu
- Department of Clinical laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ai-Ping Yang
- Department of Clinical Laboratory, Shanghai Songjiang Jiuting Hospital, Shanghai, China
| | - Gang Lei
- Department of Critical Care Medicine, People’s Hospital of Zhangshu, Zhangshu, Jiangxi, China
| | - Man Yu
- Department of Clinical laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Department of Clinical Laboratory, Hubei Cancer Hospital, Wuhan, Hubei, China
| | - Yu Peng
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ai-ping Le
- Department of Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Key Laboratory of Blood Transfusion Medicine of Jiangxi Province, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- *Correspondence: Ai-ping Le,
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11
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Sobrin L, Susarla G, Stanwyck L, Rouhana JM, Li A, Pollack S, Igo RP, Jensen RA, Li X, Ng MCY, Smith AV, Kuo JZ, Taylor KD, Freedman BI, Bowden DW, Penman A, Chen CJ, Craig JE, Adler SG, Chew EY, Cotch MF, Yaspan B, Mitchell P, Wang JJ, Klein BEK, Wong TY, Rotter JI, Burdon KP, Iyengar SK, Segrè AV. Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. Am J Ophthalmol 2022; 233:111-123. [PMID: 34166655 PMCID: PMC8678352 DOI: 10.1016/j.ajo.2021.06.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 04/19/2021] [Accepted: 06/12/2021] [Indexed: 01/03/2023]
Abstract
To identify functionally related genes associated with diabetic retinopathy (DR) risk using gene set enrichment analyses applied to genome-wide association study meta-analyses. METHODS We analyzed DR GWAS meta-analyses performed on 3246 Europeans and 2611 African Americans with type 2 diabetes. Gene sets relevant to 5 key DR pathophysiology processes were investigated: tissue injury, vascular events, metabolic events and glial dysregulation, neuronal dysfunction, and inflammation. Keywords relevant to these processes were queried in 4 pathway and ontology databases. Two GSEA methods, Meta-Analysis Gene set Enrichment of variaNT Associations (MAGENTA) and Multi-marker Analysis of GenoMic Annotation (MAGMA), were used. Gene sets were defined to be enriched for gene associations with DR if the P value corrected for multiple testing (Pcorr) was <.05. RESULTS Five gene sets were significantly enriched for numerous modest genetic associations with DR in one method (MAGENTA or MAGMA) and also at least nominally significant (uncorrected P < .05) in the other method. These pathways were regulation of the lipid catabolic process (2-fold enrichment, Pcorr = .014); nitric oxide biosynthesis (1.92-fold enrichment, Pcorr = .022); lipid digestion, mobilization, and transport (1.6-fold enrichment, P = .032); apoptosis (1.53-fold enrichment, P = .041); and retinal ganglion cell degeneration (2-fold enrichment, Pcorr = .049). The interferon gamma (IFNG) gene, previously implicated in DR by protein-protein interactions in our GWAS, was among the top ranked genes in the nitric oxide pathway (best variant P = .0001). CONCLUSIONS These GSEA indicate that variants in genes involved in oxidative stress, lipid transport and catabolism, and cell degeneration are enriched for genes associated with DR risk. NOTE: Publication of this article is sponsored by the American Ophthalmological Society.
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Affiliation(s)
- Lucia Sobrin
- From the Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary.
| | - Gayatri Susarla
- From the Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary
| | - Lynn Stanwyck
- From the Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary
| | - John M Rouhana
- From the Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary
| | - Ashley Li
- From the Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary
| | - Samuela Pollack
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western University, Cleveland, Ohio
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, Washington
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA; Vanderbilt Genetics Institute and Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Albert V Smith
- Department of Medicine, University of Iceland, Reykjavík, Iceland
| | - Jane Z Kuo
- Medical Affairs, Ophthalmology, Sun Pharmaceutical Industries, Inc, Princeton, New Jersey
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Barry I Freedman
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine; Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Alan Penman
- Department of Preventive Medicine, John D. Bower School of Population Health (A.P.), Department of Ophthalmology
| | - Ching J Chen
- Department of Preventive Medicine, John D. Bower School of Population Health (A.P.), Department of Ophthalmology
| | - Jamie E Craig
- University of Mississippi Medical Center, Jackson, Mississippi, USA, FHMRI Eye & Vision, Flinders University, Bedford Park, SA, Australia
| | - Sharon G Adler
- Department of Nephrology and Hypertension, Los Angeles Biomedical Research Institute at Harbor-University of California, Torrance, California
| | - Emily Y Chew
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Mary Frances Cotch
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Brian Yaspan
- Genentech Inc, South San Francisco, California, USA
| | - Paul Mitchell
- Department of Ophthalmology, Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, Australia
| | - Jie Jin Wang
- Department of Ophthalmology, Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, Australia; Center of Clinician-Scientist Development, Duke-NUS Medical School, Singapore
| | - Barbara E K Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Tien Y Wong
- Center of Clinician-Scientist Development, Duke-NUS Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Kathyrn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Sudha K Iyengar
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Population and Quantitative Health Sciences, Case Western University, Cleveland, Ohio
| | - Ayellet V Segrè
- From the Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary; Broad Institute of Harvard and MIT, Cambridge, Massachusetts
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12
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Alipoor B, Nikouei S, Rezaeinejad F, Malakooti-Dehkordi SN, Sabati Z, Ghasemi H. Long non-coding RNAs in metabolic disorders: pathogenetic relevance and potential biomarkers and therapeutic targets. J Endocrinol Invest 2021; 44:2015-2041. [PMID: 33792864 DOI: 10.1007/s40618-021-01559-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 03/22/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND It has been suggested that dysregulation of long non-coding RNAs (lncRNAs) could be associated with the incidence and development of metabolic disorders. AIM Accordingly, this narrative review described the molecular mechanisms of lncRNAs in the development of metabolic diseases including insulin resistance, diabetes, obesity, non-alcoholic fatty liver disease (NAFLD), cirrhosis, and coronary artery diseases (CAD). Furthermore, we investigated the up-to-date findings on the association of deregulated lncRNAs in the metabolic disorders, and potential use of lncRNAs as biomarkers and therapeutic targets. CONCLUSION LncRNAs/miRNA/regulatory proteins axis plays a crucial role in progression of metabolic disorders and may be used in development of therapeutic and diagnostic approaches.
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Affiliation(s)
- B Alipoor
- Department of Laboratory Sciences, Faculty of Paramedicine, Yasuj University of Medical Sciences, Yasuj, Iran
| | - S Nikouei
- Student Research Committee, Yasuj University of Medical Sciences, Yasuj, Iran
| | - F Rezaeinejad
- Department of Biochemistry, Faculty of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran
| | | | - Z Sabati
- MSc student of Hematology, Student Research Committee, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - H Ghasemi
- Abadan Faculty of Medical Sciences, Abadan, Iran.
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13
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Sun X, Wang L, Obayomi SMB, Wei Z. Epigenetic Regulation of β Cell Identity and Dysfunction. Front Endocrinol (Lausanne) 2021; 12:725131. [PMID: 34630329 PMCID: PMC8498190 DOI: 10.3389/fendo.2021.725131] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/08/2021] [Indexed: 01/07/2023] Open
Abstract
β cell dysfunction and failure are driving forces of type 2 diabetes mellitus (T2DM) pathogenesis. Investigating the underlying mechanisms of β cell dysfunction may provide novel targets for the development of next generation therapy for T2DM. Epigenetics is the study of gene expression changes that do not involve DNA sequence changes, including DNA methylation, histone modification, and non-coding RNAs. Specific epigenetic signatures at all levels, including DNA methylation, chromatin accessibility, histone modification, and non-coding RNA, define β cell identity during embryonic development, postnatal maturation, and maintain β cell function at homeostatic states. During progression of T2DM, overnutrition, inflammation, and other types of stress collaboratively disrupt the homeostatic epigenetic signatures in β cells. Dysregulated epigenetic signatures, and the associating transcriptional outputs, lead to the dysfunction and eventual loss of β cells. In this review, we will summarize recent discoveries of the establishment and disruption of β cell-specific epigenetic signatures, and discuss the potential implication in therapeutic development.
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Affiliation(s)
- Xiaoqiang Sun
- Department of Physiology and Biomedical Engineering, Mayo Clinic Arizona, Scottsdale, AZ, United States
- Tianjin Fourth Central Hospital, Tianjin, China
- The Fourth Central Hospital Affiliated to Nankai University, Tianjin, China
- The Fourth Central Hospital Clinical College, Tianjin Medical University, Tianjin, China
| | - Liu Wang
- Department of Physiology and Biomedical Engineering, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - S M Bukola Obayomi
- Department of Physiology and Biomedical Engineering, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - Zong Wei
- Department of Physiology and Biomedical Engineering, Mayo Clinic Arizona, Scottsdale, AZ, United States
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14
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Mohammad HMF, Abdelghany AA, Al Ageeli E, Kattan SW, Hassan R, Toraih EA, Fawzy MS, Mokhtar N. Long Non-Coding RNAs Gene Variants as Molecular Markers for Diabetic Retinopathy Risk and Response to Anti-VEGF Therapy. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:997-1014. [PMID: 34429633 PMCID: PMC8374537 DOI: 10.2147/pgpm.s322463] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/12/2021] [Indexed: 01/17/2023]
Abstract
Background Long non-coding RNAs (lncRNAs) play essential roles in molecular diagnosis and therapeutic response in several diseases. Purpose For the first time, we aimed to evaluate the association of four lncRNAs TUG1 (rs7284767G/A), MIAT (rs1061540T/C), MALAT1 (rs3200401C/T), and SENCR (rs12420823C/T) variants with susceptibility to diabetic retinopathy (DR), disease severity, and early therapeutic response to intravitreous anti-vascular endothelial growth factor aflibercept therapy. Patients and Methods This case-control study enrolled 126 adult patients with type 2 diabetes. TaqMan assays using Real-Time PCR were run for genotyping. Multivariable regression analyses were applied to assess the role of each polymorphism after the adjustment of covariates. Results Carriers of TUG1 A/G and MIAT T/C and C/C genotypes were more likely to develop DR [OR=3.15 (95% CI=1.15–8.64), and OR=4.31 (95% CI=1.78–10.47)], while MALAT1 T/C conferred protection (OR=0.40, 95% CI=0.16–0.99). For TUG1, MALAT1, MIAT, and SENCR genotype combinations, GTCT and GCCC had a higher disease risk (P=0.012). For disease severity, MIAT T/T homozygosity was associated with higher DR grade [33.3% (T/T) vs 10% (C/C) and 4.2% (C/T) carriers, P=0.012]. Otherwise, patients with the SENCR T variant exhibited better pre-treatment best-corrected visual acuity level (p=0.021). Following aflibercept administration, carrying the TUG1 A or MIAT T/C was associated with a poor therapeutic response (OR=5.02, 95% CI=1.60–15.76, and OR=10.23, 95% CI=1.51–69.15, respectively). Conclusion The lncRNAs TUG1 (rs7284767G/A) and MIAT (rs1061540T/C) were associated with increased DR susceptibility and poor response to aflibercept treatment, while MALAT1 (rs3200401C/T) conferred protection to DR. These genetic determinants could be useful in DR risk stratification and pharmacogenetics after validation in large-scale studies.
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Affiliation(s)
- Hala M F Mohammad
- Department of Clinical Pharmacology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.,Central Laboratory, Center of Excellence in Molecular and Cellular Medicine (CEMCM), Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Ahmed A Abdelghany
- Department of Ophthalmology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Essam Al Ageeli
- Department of Clinical Biochemistry (Medical Genetics), Faculty of Medicine, Jazan University, Jazan, Saudi Arabia
| | - Shahad W Kattan
- Department of Medical Laboratory, College of Applied Medical Sciences, Taibah University, Yanbu, Saudi Arabia
| | - Ranya Hassan
- Department of Clinical Pathology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Eman A Toraih
- Department of Surgery, Tulane University, School of Medicine, New Orleans, LA, USA.,Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Manal S Fawzy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.,Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar, Saudi Arabia
| | - Naglaa Mokhtar
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar, Saudi Arabia.,Department of Medical Biochemistry, Faculty of Medicine, Mansoura University, Mansoura, Egypt
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15
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Ng KKK, Cheung CYY, Lee CH, Fong CHY, Kwok KHM, Li KKW, Gangwani RA, Wong IYH, Woo YC, Chow WS, Yuen MMA, Wong RLC, Xu A, Wong DSH, Sham PC, Lam KSL. Possible Modifying Effect of Hemoglobin A1c on Genetic Susceptibility to Severe Diabetic Retinopathy in Patients With Type 2 Diabetes. Invest Ophthalmol Vis Sci 2021; 61:7. [PMID: 32756921 PMCID: PMC7441357 DOI: 10.1167/iovs.61.10.7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Purpose Glycemic control has been recognized as an important modifiable risk factor for diabetic retinopathy (DR). Whether hemoglobin A1c (HbA1c), as an indicator of glycemic control, could modify the genetic susceptibility to severe DR remains to be investigated. This study aimed to investigate whether HbA1c could modulate the genetic susceptibility to severe DR in Chinese patients with type 2 diabetes. Methods A total of 3,093 Chinese individuals with type 2 diabetes were included in the cross-sectional case-control study: 1,051 with sight-threatening DR (STDR) and 2,042 without STDR. Sixty-nine top-ranked single nucleotide polymorphisms (SNPs) identified from previous genome-wide association studies were examined for their associations with STDR and proliferative DR as a subgroup analysis. SNPs showing suggestive associations with DR were examined in the stratified analysis by dichotomized HbA1c (<7% vs. ≥7%). An interaction analysis was performed by including an interaction term of SNP × HbA1c in the regression model. Results Four SNPs showed suggestive associations with STDR. In the stratified analysis, patients with adequate glycemic control (HbA1c <7%) had a 42% lower risk of STDR for carrying each additional protective C allele of COL5A1 rs59126004 (P = 1.76 × 10−4; odds ratio, 0.58; 95% confidence interval, 0.44–0.77). rs59126004 demonstrated a significant interaction with dichotomized HbA1c on the risk of STDR (Pinteraction = 1.733 × 10−3). In the subgroup analysis for proliferative DR, the protective effect of rs59126004 was even more pronouncedly demonstrated (P = 8.35 × 10−5; odds ratio, 0.37; 95% confidence interval, 0.22–0.60) and it showed similar interactions with dichotomized HbA1c (Pinteraction = 1.729 × 10−3). Conclusions Our data provided evidence for possible interactions between HbA1c and COL5A1 rs59126004 on the risk of severe DR. These findings may provide new insight into the pathophysiologic mechanism of DR.
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Affiliation(s)
- Kelvin K K Ng
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Chloe Y Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Carol H Y Fong
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Kelvin H M Kwok
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Kenneth K W Li
- Department of Ophthalmology, United Christian Hospital, Hong Kong
| | - Rita A Gangwani
- Department of Ophthalmology, The University of Hong Kong, Hong Kong
| | - Ian Y H Wong
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Yu-Cho Woo
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Wing-Sun Chow
- Department of Medicine, The University of Hong Kong, Hong Kong
| | | | - Rachel L C Wong
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Aimin Xu
- Department of Medicine, The University of Hong Kong, Hong Kong,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong,Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong
| | - David S H Wong
- Department of Ophthalmology, The University of Hong Kong, Hong Kong
| | - Pak-Chung Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Karen S L Lam
- Department of Medicine, The University of Hong Kong, Hong Kong,State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong,Research Center of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong
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16
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Epigenetic modification and therapeutic targets of diabetes mellitus. Biosci Rep 2020; 40:226148. [PMID: 32815547 PMCID: PMC7494983 DOI: 10.1042/bsr20202160] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 08/07/2020] [Accepted: 08/17/2020] [Indexed: 12/11/2022] Open
Abstract
The prevalence of diabetes and its related complications are increasing significantly globally. Collected evidence suggested that several genetic and environmental factors contribute to diabetes mellitus. Associated complications such as retinopathy, neuropathy, nephropathy and other cardiovascular complications are a direct result of diabetes. Epigenetic factors include deoxyribonucleic acid (DNA) methylation and histone post-translational modifications. These factors are directly related with pathological factors such as oxidative stress, generation of inflammatory mediators and hyperglycemia. These result in altered gene expression and targets cells in the pathology of diabetes mellitus without specific changes in a DNA sequence. Environmental factors and malnutrition are equally responsible for epigenetic states. Accumulated evidence suggested that environmental stimuli alter the gene expression that result in epigenetic changes in chromatin. Recent studies proposed that epigenetics may include the occurrence of ‘metabolic memory’ found in animal studies. Further study into epigenetic mechanism might give us new vision into the pathogenesis of diabetes mellitus and related complication thus leading to the discovery of new therapeutic targets. In this review, we discuss the possible epigenetic changes and mechanism that happen in diabetes mellitus type 1 and type 2 separately. We highlight the important epigenetic and non-epigenetic therapeutic targets involved in the management of diabetes and associated complications.
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17
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Bein K, Ganguly K, Martin TM, Concel VJ, Brant KA, Di YPP, Upadhyay S, Fabisiak JP, Vuga LJ, Kaminski N, Kostem E, Eskin E, Prows DR, Jang AS, Leikauf GD. Genetic determinants of ammonia-induced acute lung injury in mice. Am J Physiol Lung Cell Mol Physiol 2020; 320:L41-L62. [PMID: 33050709 DOI: 10.1152/ajplung.00276.2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
In this study, a genetically diverse panel of 43 mouse strains was exposed to ammonia, and genome-wide association mapping was performed employing a single-nucleotide polymorphism (SNP) assembly. Transcriptomic analysis was used to help resolve the genetic determinants of ammonia-induced acute lung injury. The encoded proteins were prioritized based on molecular function, nonsynonymous SNP within a functional domain or SNP within the promoter region that altered expression. This integrative functional approach revealed 14 candidate genes that included Aatf, Avil, Cep162, Hrh4, Lama3, Plcb4, and Ube2cbp, which had significant SNP associations, and Aff1, Bcar3, Cntn4, Kcnq5, Prdm10, Ptcd3, and Snx19, which had suggestive SNP associations. Of these genes, Bcar3, Cep162, Hrh4, Kcnq5, and Lama3 are particularly noteworthy and had pathophysiological roles that could be associated with acute lung injury in several ways.
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Affiliation(s)
- Kiflai Bein
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Koustav Ganguly
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.,Unit of Integrated Toxicology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Timothy M Martin
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Vincent J Concel
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kelly A Brant
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Y P Peter Di
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Swapna Upadhyay
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.,Unit of Integrated Toxicology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - James P Fabisiak
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Louis J Vuga
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.,Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Naftali Kaminski
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.,Department of Medicine, Simmons Center for Interstitial Lung Disease, University of Pittsburgh, Pittsburgh, Pennsylvania.,Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Emrah Kostem
- Departments of Computer Science and Human Genetics, University of California, Los Angeles, California
| | - Eleazar Eskin
- Departments of Computer Science and Human Genetics, University of California, Los Angeles, California
| | - Daniel R Prows
- Division of Human Genetics, Cincinnati Children's Hospital and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Ann-Soo Jang
- Division of Allergy and Respiratory Medicine, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
| | - George D Leikauf
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
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18
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Wang Y, Wang X, Wang YX, Ma Y, Di Y. Effect and mechanism of the long noncoding RNA MALAT1 on retinal neovascularization in retinopathy of prematurity. Life Sci 2020; 260:118299. [PMID: 32827542 DOI: 10.1016/j.lfs.2020.118299] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/04/2020] [Accepted: 08/16/2020] [Indexed: 12/13/2022]
Abstract
AIMS The most typical pathological manifestation of retinopathy of prematurity (ROP) is Retinal neovascularization (RNV). Long noncoding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has been reported to mediate angiogenesis. Our experiment aimed to research the effect and mechanism of the MALAT1 on RNV in ROP. MAIN METHODS C57 mice was used to establish oxygen-introduced retinopathy (OIR), and divided into control, hyperoxia, hyperoxia control siRNA, and hyperoxia MALAT1 siRNA groups. KEY FINDINGS It was shown that MALAT1 mRNA was high expressed in the retinas of OIR mice. Further studies revealed that after intravitreal injection of MALAT1 siRNA, the degree of retinopathy was significantly reduced compared with OIR group. In addition, the protein and mRNA expression levels of CCN1, AKT and VEGF were significantly decreased. This was accompanied by a decrease in inflammatory genes including IL-1β, IL-6, and TNF-α compared with the hyperoxia control siRNA mice. SIGNIFICANCE The result suggested that MALAT1 may be involved in the process of RNV in ROP and MALAT1 siRNA may be a promising agent for the treatment of ROP by inhibiting RNV.
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Affiliation(s)
- Yue Wang
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, PR China
| | - Xue Wang
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, PR China
| | - Yue-Xia Wang
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, PR China
| | - Yuan Ma
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, PR China
| | - Yu Di
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, PR China.
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19
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Lan D, Jiang HY, Su X, Zhao Y, Du S, Li Y, Bi R, Zhang DF, Yang Q. Transcriptome-wide Association Study Identifies Genetically Dysregulated Genes in Diabetic Neuropathy. Comb Chem High Throughput Screen 2020; 24:319-325. [PMID: 32772906 DOI: 10.2174/1386207323666200808173745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 06/03/2020] [Accepted: 07/14/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Complications are the main cause of the disease burden of diabetes. Genes determining the development and progression of diabetic complications remain to be identified. Diabetic neuropathy is the most common and debilitating complication and mainly affects the nerves of legs and feet. In this study, we attempted to identify diabetic neuropathy-specific genes from reliable large-scale genome-wide association studies (GWASs) for diabetes perse. METHODS Taking advantage of publicly available data, we initially converted the GWAS signals to transcriptomic profiles in the tibial nerve using the functional summary-based imputation (FUSION) algorithm. The FUSION-derived genes were then checked to determine whether they were differentially expressed in the sciatic nerve of mouse models of diabetic neuropathy. The dysregulated genes identified in the sciatic nerve were explored in the blood of patients with diabetes. RESULTS We found that eleven out of 452 FUSION-derived genes were regulated by diabetes GWAS loci and were altered in the sciatic nerve of mouse models with early-stage neuropathy. Among the eleven genes, significant (P-value<0.05) expression alterations of HSD17B4, DHX32, MERTK, and SFXN4 could be detected in the blood of human patients. CONCLUSIONS Our analyses identified genes with an effect in the sciatic nerve and provided the possibility of noninvasive early detection of diabetic neuropathy.
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Affiliation(s)
- Danfeng Lan
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hong-Yan Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiaoyang Su
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yan Zhao
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Sicheng Du
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ying Li
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Rui Bi
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming650223, China
| | - Deng-Feng Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming650223, China
| | - Qiuping Yang
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
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20
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Panchapakesan U, Pollock C. The primary cilia in diabetic kidney disease: A tubulocentric view? Int J Biochem Cell Biol 2020; 122:105718. [PMID: 32070746 DOI: 10.1016/j.biocel.2020.105718] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/06/2020] [Accepted: 02/14/2020] [Indexed: 01/18/2023]
Abstract
Diabetic kidney disease is growing exponentially. This review aims to discuss alternate therapeutic approaches beyond the glomerulocentric view and to consider a novel tubulocentric approach with focus on the primary cilia. Renin-angiotensin-aldosterone system blockade to decrease glomerular capillary pressure and prevent albuminuria has been the mainstay of treatment for diabetic and non-diabetic proteinuric kidney disease. Landmark clinical trials have also shown cardiorenal benefit with sodium-glucose linked co-transporter 2 inhibitors and glucagon-like peptide 1 receptor analogues in patients with type 2 diabetes. Effective renoprotective drugs seem to have a common mechanistic mode of reducing glomerular hyperfiltration/hypertension. In the tubules, primary cilia act as "antennae" to detect mechanosensory changes such as glomerular hyperfiltration and trgger intracellular signalling pathways. They are also implicated in obesity and metabolic disorders linked to diabetes. To conclude, primary cilia of the kidney tubules offer a novel therapeutic target and may complement the current glomerulocentric approaches.
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Affiliation(s)
- Usha Panchapakesan
- Renal Research Group, Kolling Institute of Medical Research, Royal North Shore Hospital, University of Sydney, NSW,2065, Australia.
| | - Carol Pollock
- Renal Research Group, Kolling Institute of Medical Research, Royal North Shore Hospital, University of Sydney, NSW,2065, Australia
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21
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Genome-wide association study for proliferative diabetic retinopathy in Africans. NPJ Genom Med 2019; 4:20. [PMID: 31482010 PMCID: PMC6715701 DOI: 10.1038/s41525-019-0094-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 08/07/2019] [Indexed: 11/08/2022] Open
Abstract
Proliferative diabetic retinopathy (PDR) is a sight-threatening complication of diabetes that is associated with longer duration of diabetes and poor glycemic control under a genetic susceptibility background. Although GWAS of PDR have been conducted in Europeans and Asians, none has been done in continental Africans, a population at increased risk for PDR. Here, we report a GWAS of PDR among Africans. PDR cases (n = 64) were T2D patients with neovascularization in the retina and/or retinal detachment. Controls (n = 227) were T2D patients without listed eye complications despite high risk (T2D duration ≥10 years and fasting blood glucose >169 mg/dl). Replication was assessed in African Americans enrolled in the ARIC study. We identified 4 significant loci: WDR72, HLA-B, GAP43/RP11-326J18.1, and AL713866.1. At WDR72 the most strongly associated SNPs were rs12906891 (MAF = 0.071; p = 9.68 × 10-10; OR = 1.46, 95% CI [1.30,1.64]) and rs11070992 (MAF = 0.14; p = 4.23 × 10−8; OR = 1.28, 95%CI [1.17–1.40]). rs11070992 replicated in African Americans (p = 0.04). Variants in this gene have been associated with diabetic retinopathy, glycemic control, revascularization, and kidney disease.
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22
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Abstract
PURPOSE OF REVIEW The goal of this paper is to review the latest findings in understanding the genetics of diabetic retinopathy. We highlight recent literature using a variety of molecular genetic techniques to identify variants which contribute to genetic susceptibility for diabetic retinopathy. RECENT FINDINGS New genome-wide association study (GWAS) and whole-exome sequencing approaches have been utilized to identify both common and rare variants associated with diabetic retinopathy. While variants have been identified in isolated studies, no variants have been replicated across multiple studies. The identification of genetic factors associated with diabetic retinopathy remains elusive. This is due to the multifactorial nature of the disease, small sample sizes for GWAS, and difficulty in controlling covariates of the disease. Larger populations as well as utilization of new sequencing and data analysis techniques may lead to new insights into genetic factors associated with diabetic retinopathy in the future.
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Affiliation(s)
- Jonathan Han
- School of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Leonardo Lando
- Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9415 Campus Point Dr, La Jolla, San Diego, CA, 92093, USA
| | - Dorota Skowronska-Krawczyk
- Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9415 Campus Point Dr, La Jolla, San Diego, CA, 92093, USA
| | - Daniel L Chao
- Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9415 Campus Point Dr, La Jolla, San Diego, CA, 92093, USA.
- Shiley Eye Institute; Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9500 Gilman Dr MC 0946, La Jolla, San Diego, CA, 93094, USA.
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23
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Diabetic Retinopathy, lncRNAs, and Inflammation: A Dynamic, Interconnected Network. J Clin Med 2019; 8:jcm8071033. [PMID: 31337130 PMCID: PMC6678747 DOI: 10.3390/jcm8071033] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 07/03/2019] [Accepted: 07/09/2019] [Indexed: 02/06/2023] Open
Abstract
Diabetic retinopathy (DR) is reaching epidemic levels globally due to the increase in prevalence of diabetes mellitus (DM). DR also has detrimental effects to quality of life, as it is the leading cause of blindness in the working-age population and the most common cause of vision loss in individuals with DM. Over several decades, many studies have recognized the role of inflammation in the development and progression of DR; however, in recent years, accumulating evidence has also suggested that non-coding RNAs, especially long non-coding (lncRNAs), are aberrantly expressed in diabetes and may play a putative role in the development and progression of DR through the modulation of gene expression at the transcriptional, post-transcriptional, or epigenetic level. In this review, we will first highlight some of the key inflammatory mediators and transcription factors involved in DR, and we will then introduce the critical roles of lncRNAs in DR and inflammation. Following this, we will discuss the implications of lncRNAs in other epigenetic mechanisms that may also contribute to the progression of inflammation in DR.
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Meng W, Chan BW, Ezeonwumelu C, Hébert HL, Campbell A, Soler V, Palmer CN. A genome-wide association study implicates that the TTC39C gene is associated with diabetic maculopathy with decreased visual acuity. Ophthalmic Genet 2019; 40:252-258. [PMID: 31264924 DOI: 10.1080/13816810.2019.1633549] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Background: Diabetic maculopathy is a form of diabetic retinopathy. The visual acuity of one third of patients with diabetic maculopathy will be affected. The purpose of this study was to identify genetic contributors of diabetic maculopathy with decreased visual acuity based on a genome-wide association approach using a well-defined Scottish diabetic cohort. Methods: We used linked e-health records of diabetic patients to define our cases and controls. The cases in this study were defined as type 2 diabetic patients who had ever been recorded in the linked e-health records as having maculopathy (observable or referable) in at least one eye and whose visual acuity of the eye was recorded to have decreased between the first and the last visual acuity record of that eye in the longitudinal e-health records. The controls were defined as a type 2 diabetic individual who had never been diagnosed with maculopathy or retinopathy in the linked e-health records. Anyone who had laser photocoagulation treatment was also excluded from the controls. A standard genome-wide association approach was applied. Results: Overall, we identified 469 cases and 1,374 controls within the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) dataset. We found that the P value of rs9966620 in the TTC39C gene was 4.13x10-8, which reached genome-wide significance. Conclusions: We suggest that the TTC39C gene is associated with diabetic maculopathy with decreased visual acuity. This needs to be confirmed by further replication studies and functional studies.
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Affiliation(s)
- Weihua Meng
- a Division of Population Health and Genomics , Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee , Dundee , UK
| | - Brian W Chan
- a Division of Population Health and Genomics , Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee , Dundee , UK
| | - Chinenyenwa Ezeonwumelu
- a Division of Population Health and Genomics , Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee , Dundee , UK
| | - Harry L Hébert
- a Division of Population Health and Genomics , Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee , Dundee , UK
| | - Amy Campbell
- a Division of Population Health and Genomics , Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee , Dundee , UK
| | - Vencent Soler
- b Retina unit, Ophthalmology department , Hôpital Pierre Paul Riquet, CHU Toulouse, 31059 Toulouse Cedex 9; Unité "Différenciation Epithéliale et Autoimmunité Rhumatoïde", UMR 1056 Inserm - Université de Toulouse , France
| | - Colin Na Palmer
- a Division of Population Health and Genomics , Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee , Dundee , UK
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Pollack S, Igo RP, Jensen RA, Christiansen M, Li X, Cheng CY, Ng MCY, Smith AV, Rossin EJ, Segrè AV, Davoudi S, Tan GS, Chen YDI, Kuo JZ, Dimitrov LM, Stanwyck LK, Meng W, Hosseini SM, Imamura M, Nousome D, Kim J, Hai Y, Jia Y, Ahn J, Leong A, Shah K, Park KH, Guo X, Ipp E, Taylor KD, Adler SG, Sedor JR, Freedman BI, Lee IT, Sheu WHH, Kubo M, Takahashi A, Hadjadj S, Marre M, Tregouet DA, Mckean-Cowdin R, Varma R, McCarthy MI, Groop L, Ahlqvist E, Lyssenko V, Agardh E, Morris A, Doney ASF, Colhoun HM, Toppila I, Sandholm N, Groop PH, Maeda S, Hanis CL, Penman A, Chen CJ, Hancock H, Mitchell P, Craig JE, Chew EY, Paterson AD, Grassi MA, Palmer C, Bowden DW, Yaspan BL, Siscovick D, Cotch MF, Wang JJ, Burdon KP, Wong TY, Klein BEK, Klein R, Rotter JI, Iyengar SK, Price AL, Sobrin L. Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. Diabetes 2019; 68:441-456. [PMID: 30487263 PMCID: PMC6341299 DOI: 10.2337/db18-0567] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 11/12/2018] [Indexed: 12/18/2022]
Abstract
To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts (n = 3,246) and seven African American cohorts (n = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a P value <1 × 10-5 were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like (NVL) was associated with DR in European discovery cohorts (P = 2.1 × 10-9), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein-protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity (P = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in NVL, as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.
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Affiliation(s)
- Samuela Pollack
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western University, Cleveland, OH
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA
| | - Mark Christiansen
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Ching-Yu Cheng
- Duke-NUS Medical School, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Albert V Smith
- Department of Medicine, University of Iceland, Reykjavík, Iceland
| | - Elizabeth J Rossin
- Massachusetts Eye and Ear Department of Ophthalmology, Harvard Medical School, Boston, MA
| | - Ayellet V Segrè
- Massachusetts Eye and Ear Department of Ophthalmology, Harvard Medical School, Boston, MA
| | - Samaneh Davoudi
- Massachusetts Eye and Ear Department of Ophthalmology, Harvard Medical School, Boston, MA
| | - Gavin S Tan
- Duke-NUS Medical School, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Jane Z Kuo
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
- Medical Affairs, Ophthalmology, Sun Pharmaceutical Industries, Inc., Princeton, NJ
| | - Latchezar M Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Lynn K Stanwyck
- Massachusetts Eye and Ear Department of Ophthalmology, Harvard Medical School, Boston, MA
| | - Weihua Meng
- Division of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee School of Medicine, Scotland, U.K
| | - S Mohsen Hosseini
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Minako Imamura
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Nishihara, Japan
| | - Darryl Nousome
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Jihye Kim
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Yucheng Jia
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Jeeyun Ahn
- Department of Ophthalmology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Aaron Leong
- Endocrine Unit and Diabetes Unit, Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Kaanan Shah
- Section of Genetic Medicine, University of Chicago, Chicago, IL
| | - Kyu Hyung Park
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Eli Ipp
- Section of Diabetes and Metabolism, Harbor-UCLA Medical Center, University of California, Los Angeles, Los Angeles, CA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Sharon G Adler
- Department of Nephrology and Hypertension, Los Angeles Biomedical Research Institute at Harbor-University of California, Torrance, CA
| | - John R Sedor
- Department of Medicine, Case Western Reserve University, Cleveland, OH
- Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH
- Division of Nephrology, MetroHealth System, Cleveland, OH
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - I-Te Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Wayne H-H Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
- Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Samy Hadjadj
- CHU de Poitiers, Centre d'Investigation Clinique, Poitiers, France
- Université de Poitiers, UFR Médecine Pharmacie, Centre d'Investigation Clinique 1402, Poitiers, France
- INSERM, Centre d'Investigation Clinique 1402, Poitiers, France
- L'Institut du Thorax, INSERM, CNRS, CHU Nantes, Nantes, France
| | - Michel Marre
- Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Department of Diabetology, Endocrinology and Nutrition, Assistance Publique-Hôpitaux de Paris, Bichat Hospital, DHU FIRE, Paris, France
- INSERM U1138, Centre de Recherche des Cordeliers, Paris, France
| | - David-Alexandre Tregouet
- Team Genomics & Pathophysiology of Cardiovascular Diseases, UPMC, Sorbonne Universités, INSERM, UMR_S 1166, Paris, France
- Institute of Cardiometabolism and Nutrition, Paris, France
| | - Roberta Mckean-Cowdin
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA
| | - Rohit Varma
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, U.K
| | - Leif Groop
- Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden
| | - Emma Ahlqvist
- Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Elisabet Agardh
- Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden
| | - Andrew Morris
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, U.K
| | - Alex S F Doney
- Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K
| | - Helen M Colhoun
- Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, U.K
| | - Iiro Toppila
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Shiro Maeda
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Nishihara, Japan
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Alan Penman
- Department of Preventive Medicine, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS
| | - Ching J Chen
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, MS
| | - Heather Hancock
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, MS
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Bedford Park, South Australia, Australia
| | - Emily Y Chew
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Andrew D Paterson
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Program in Genetics & Genome Biology, Hospital for Sick Children, Toronto, Ontario, Canada
- Epidemiology and Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Michael A Grassi
- Grassi Retina, Naperville, IL
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL
| | - Colin Palmer
- Pat MacPherson Centre for Pharmacogenetics and Pharmacogenomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | | | - David Siscovick
- Institute for Urban Health, New York Academy of Medicine, New York, NY
| | - Mary Frances Cotch
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Jie Jin Wang
- Duke-NUS Medical School, Singapore
- Centre for Vision Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Tien Y Wong
- Duke-NUS Medical School, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Barbara E K Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, LA BioMed and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Sudha K Iyengar
- Department of Population and Quantitative Health Sciences, Case Western University, Cleveland, OH
| | - Alkes L Price
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Lucia Sobrin
- Massachusetts Eye and Ear Department of Ophthalmology, Harvard Medical School, Boston, MA
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Sharma A, Valle ML, Beveridge C, Liu Y, Sharma S. Unraveling the role of genetics in the pathogenesis of diabetic retinopathy. Eye (Lond) 2019; 33:534-541. [PMID: 30679875 DOI: 10.1038/s41433-019-0337-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 10/31/2018] [Indexed: 12/17/2022] Open
Abstract
Diabetic retinopathy (DR) is a microvascular disease of the retina and the leading cause of visual disability in diabetic patients. Genetic factors have shown to play a pivotal role in DR onset, and several candidate genes have been associated with its progression. A literature search was performed to identify the genes known to be associated with DR through linkage analysis, candidate gene association, and genome-wide association studies (GWAS). A further literature search was performed to discover their potential connection with various biological pathways. A total of 65 genes were found and several of these genes belong to major signaling pathways known to play a significant role in DR, including systemic inflammation, angiogenesis, and neurogenesis. A comprehensive analysis presented in this review will be helpful in unraveling the role of genetics in the pathogenesis of DR.
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Affiliation(s)
- Ashok Sharma
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia.,Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia
| | - Maria L Valle
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia
| | - Connor Beveridge
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia
| | - Yutao Liu
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia.,Department of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia
| | - Shruti Sharma
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia. .,Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, Georgia.
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27
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Azzam SK, Osman WM, Lee S, Khalaf K, Khandoker AH, Almahmeed W, Jelinek HF, Al Safar HS. Genetic Associations With Diabetic Retinopathy and Coronary Artery Disease in Emirati Patients With Type-2 Diabetes Mellitus. Front Endocrinol (Lausanne) 2019; 10:283. [PMID: 31130920 PMCID: PMC6509200 DOI: 10.3389/fendo.2019.00283] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 04/17/2019] [Indexed: 12/15/2022] Open
Abstract
Aim: Type 2 Diabetes Mellitus (T2DM) is associated with both microvascular complications such as diabetic retinopathy (DR), and macrovascular complications like coronary artery disease (CAD). Genetic risk factors have a role in the development of these complications. In the present case-control study, we investigated genetic variations associated with DR and CAD in T2DM patients from the United Arab Emirates. Methods: A total of 407 Emirati patients with T2DM were recruited. Categorization of the study population was performed based on the presence or absence of DR and CAD. Seventeen Single Nucleotide Polymorphisms (SNPs), were selected for association analyses through search of publicly available databases, namely GWAS catalog, infinome genome interpretation platform and GWAS Central database. A multivariate logistic regression test was performed to evaluate the association between the 17 SNPs and DR, CAD, or both. To account for multiple testing, significance was set at p < 0.00294 using the Bonferroni correction. Results: The SNPs rs9362054 near the CEP162 gene and rs4462262 near the UBE2D1 gene were associated with DR (OR = 1.66, p = 0.001; OR = 1.37, p = 0.031; respectively), and rs12219125 near the PLXDC2 gene was associated (suggestive) with CAD (OR = 2.26, p = 0.034). Furthermore, rs9362054 near the CEP162 gene was significantly associated with both complications (OR = 2.27, p = 0.0021). The susceptibility genes for CAD (PLXDC2) and DR (UBE2D1) have a role in angiogenesis and neovascularization. Moreover, association between the ciliary gene CEP162 and DR was established in terms of retinal neural processing, confirming previous reports. Conclusions: The present study reports associations of different genetic loci with DR and CAD. We report new associations between CAD and PLXDC2, and DR with UBE2D1 using data from T2DM Emirati patients.
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Affiliation(s)
- Sarah K. Azzam
- Biomedical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Wael M. Osman
- Khalifa University Center of Biotechnology, Abu Dhabi, United Arab Emirates
| | - Sungmun Lee
- Biomedical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Kinda Khalaf
- Biomedical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Ahsan H. Khandoker
- Biomedical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Wael Almahmeed
- Institute of Cardiac Science, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
- Heart and Vascular Institute, Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | - Herbert F. Jelinek
- Australian School of Advanced Medicine, Sydney and School of Community Health, Charles Sturt University, Macquarie University, Albury, NSW, Australia
| | - Habiba S. Al Safar
- Biomedical Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Khalifa University Center of Biotechnology, Abu Dhabi, United Arab Emirates
- *Correspondence: Habiba S. Al Safar
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28
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The Role of Long Noncoding RNAs in Diabetic Alzheimer's Disease. J Clin Med 2018; 7:jcm7110461. [PMID: 30469430 PMCID: PMC6262561 DOI: 10.3390/jcm7110461] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 11/17/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are involved in diverse physiological and pathological processes by modulating gene expression. They have been found to be dysregulated in the brain and cerebrospinal fluid of patients with neurodegenerative diseases, and are considered promising therapeutic targets for treatment. Among the various neurodegenerative diseases, diabetic Alzheimer's disease (AD) has been recently emerging as an important issue due to several unexpected reports suggesting that metabolic issues in the brain, such as insulin resistance and glucose dysregulation, could be important risk factors for AD. To facilitate understanding of the role of lncRNAs in this field, here we review recent studies on lncRNAs in AD and diabetes, and summarize them with different categories associated with the pathogenesis of the diseases including neurogenesis, synaptic dysfunction, amyloid beta accumulation, neuroinflammation, insulin resistance, and glucose dysregulation. It is essential to understand the role of lncRNAs in the pathogenesis of diabetic AD from various perspectives for therapeutic utilization of lncRNAs in the near future.
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Abstract
SIGNIFICANCE Diabetes is associated with markedly accelerated rates of micro- and macrovascular complications that increase morbidity and mortality. Understanding the molecular mechanisms can promote much needed therapeutics. Recent Advances: Long noncoding RNAs (lncRNAs) are important regulators of gene regulation and cellular function and are emerging as important players in diabetes and its complications. There are number of examples in which lncRNAs are responsive to hyperglycemia and clearly involved in regulation of genes and pathways associated with the development of diabetic complications. CRITICAL ISSUES As there are likely thousands of lncRNAs that are expressed in any given tissue, understanding how they are regulated and function in the normal healthy state as well as pathological states is a challenge. FUTURE DIRECTIONS Further studies in how lncRNAs are involved in the development and progression of diabetic complications as well as development of methods to target dysregulated lncRNAs or evaluate them as biomarkers of early detection of organ dysfunction will be highly beneficial to treating diabetic patients.
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Affiliation(s)
- Amy Leung
- Department of Diabetes Complications and Metabolism, Diabetes and Metabolic Research Institute, Beckman Research Institute of City of Hope , Duarte, California
| | - Rama Natarajan
- Department of Diabetes Complications and Metabolism, Diabetes and Metabolic Research Institute, Beckman Research Institute of City of Hope , Duarte, California
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30
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Singer RA, Sussel L. Islet Long Noncoding RNAs: A Playbook for Discovery and Characterization. Diabetes 2018; 67:1461-1470. [PMID: 29937433 PMCID: PMC6054438 DOI: 10.2337/dbi18-0001] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 03/20/2018] [Indexed: 12/11/2022]
Abstract
Diabetes is a complex group of metabolic disorders that can be accompanied by several comorbidities, including increased risk of early death. Decades of diabetes research have elucidated many genetic drivers of normal islet function and dysfunction; however, a lack of suitable treatment options suggests our knowledge about the disease remains incomplete. The establishment of long noncoding RNAs (lncRNAs), once dismissed as "junk" DNA, as essential gene regulators in many biological processes has redefined the central role for RNA in cells. Studies showing that misregulation of lncRNAs can lead to disease have contributed to the emergence of lncRNAs as attractive candidates for drug targeting. These findings underscore the need to reexamine islet biology in the context of a regulatory role for RNA. This review will 1) highlight what is known about lncRNAs in the context of diabetes, 2) summarize the strategies used in lncRNA discovery pipelines, and 3) discuss future directions and the potential impact of studying the role of lncRNAs in diabetes.
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Affiliation(s)
- Ruth A Singer
- Columbia University Medical Center, New York, NY
- The Integrated Graduate Program in Cellular, Molecular and Biomedical Studies, Graduate School of Arts and Sciences, Columbia University Medical Center, New York, NY
| | - Lori Sussel
- Columbia University Medical Center, New York, NY
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
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31
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Graham PS, Kaidonis G, Abhary S, Gillies MC, Daniell M, Essex RW, Chang JH, Lake SR, Pal B, Jenkins AJ, Hewitt AW, Lamoureux EL, Hykin PG, Petrovsky N, Brown MA, Craig JE, Burdon KP. Genome-wide association studies for diabetic macular edema and proliferative diabetic retinopathy. BMC MEDICAL GENETICS 2018; 19:71. [PMID: 29739359 PMCID: PMC5941644 DOI: 10.1186/s12881-018-0587-8] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 04/19/2018] [Indexed: 02/07/2023]
Abstract
Background Diabetic macular edema (DME) and proliferative diabetic retinopathy (PDR) are sight-threatening complications of diabetes mellitus and leading causes of adult-onset blindness worldwide. Genetic risk factors for diabetic retinopathy (DR) have been described previously, but have been difficult to replicate between studies, which have often used composite phenotypes and been conducted in different populations. This study aims to identify genetic risk factors for DME and PDR as separate complications in Australians of European descent with type 2 diabetes. Methods Caucasian Australians with type 2 diabetes were evaluated in a genome-wide association study (GWAS) to compare 270 DME cases and 176 PDR cases with 435 non-retinopathy controls. All participants were genotyped by SNP array and after data cleaning, cases were compared to controls using logistic regression adjusting for relevant covariates. Results The top ranked SNP for DME was rs1990145 (p = 4.10 × 10− 6, OR = 2.02 95%CI [1.50, 2.72]) on chromosome 2. The top-ranked SNP for PDR was rs918519 (p = 3.87 × 10− 6, OR = 0.35 95%CI [0.22, 0.54]) on chromosome 5. A trend towards association was also detected at two SNPs reported in the only other reported GWAS of DR in Caucasians; rs12267418 near MALRD1 (p = 0.008) in the DME cohort and rs16999051 in the diabetes gene PCSK2 (p = 0.007) in the PDR cohort. Conclusion This study has identified loci of interest for DME and PDR, two common ocular complications of diabetes. These findings require replication in other Caucasian cohorts with type 2 diabetes and larger cohorts will be required to identify genetic loci with statistical confidence. There is considerable overlap in the patient cohorts with each retinopathy subtype, complicating the search for genes that contribute to PDR and DME biology. Electronic supplementary material The online version of this article (10.1186/s12881-018-0587-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Patricia S Graham
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Georgia Kaidonis
- Department of Ophthalmology, Flinders University, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Sotoodeh Abhary
- Department of Ophthalmology, Flinders University, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Mark C Gillies
- Save Sight Institute, Clinical Ophthalmology and Eye Health, University of Sydney, Sydney, New South Wales, Australia
| | - Mark Daniell
- Department of Ophthalmology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Rohan W Essex
- Academic Unit of Ophthalmology, Australian National University, Canberra, Australia
| | - John H Chang
- School of Medical Sciences, University of NSW, Sydney, New South Wales, Australia.,Medical Retina Service, Moorfields Eye Hospital, London, UK
| | - Stewart R Lake
- Department of Ophthalmology, Flinders University, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Bishwanath Pal
- Medical Retina Service, Moorfields Eye Hospital, London, UK
| | - Alicia J Jenkins
- NHMRC Clinical Trials Centre, University of Sydney, Camperdown, New South Wales, Australia.,St Vincent's Hospital, Fitzroy, Victoria, Australia
| | - Alex W Hewitt
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Centre for Eye Research Australia, University of Melbourne, East Melbourne, Victoria, Australia
| | - Ecosse L Lamoureux
- Centre for Eye Research Australia, University of Melbourne, East Melbourne, Victoria, Australia.,Singapore Eye Research Institute, Singapore, Singapore
| | - Philip G Hykin
- Medical Retina Service, Moorfields Eye Hospital, London, UK
| | - Nikolai Petrovsky
- Department of Endocrinology, Flinders University, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Matthew A Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia. .,Department of Ophthalmology, Flinders University, Flinders Medical Centre, Adelaide, South Australia, Australia.
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32
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Moghaddas Sani H, Hejazian M, Hosseinian Khatibi SM, Ardalan M, Zununi Vahed S. Long non-coding RNAs: An essential emerging field in kidney pathogenesis. Biomed Pharmacother 2018; 99:755-765. [PMID: 29710473 DOI: 10.1016/j.biopha.2018.01.122] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 01/13/2018] [Accepted: 01/24/2018] [Indexed: 12/21/2022] Open
Abstract
Human Genome Project has made it clear that a majority of the genome is transcribed into the non-coding RNAs including microRNAs as well as long non-coding RNAs (lncRNAs) which both can affect different features of cells. LncRNAs are long heterogenous RNAs that regulate gene expression and a variety of signaling pathways involved in cellular homeostasis and development. Studies over the past decade have shown that lncRNAs have a major role in the kidney pathogenesis. The effective roles of lncRNAs have been recognized in renal ischemia, injury, inflammation, fibrosis, glomerular diseases, renal transplantation, and renal cell carcinoma. The present review outlines the role and function of lncRNAs in kidney pathogenesis as novel essential regulators. Molecular mechanism insights into the functions of lncRNAs in kidney pathophysiological processes may contribute to effective future therapeutics.
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Affiliation(s)
| | - Mina Hejazian
- Kidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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33
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Sandholm N, Groop PH. Genetic basis of diabetic kidney disease and other diabetic complications. Curr Opin Genet Dev 2018; 50:17-24. [PMID: 29453109 DOI: 10.1016/j.gde.2018.01.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 01/19/2018] [Accepted: 01/24/2018] [Indexed: 12/21/2022]
Abstract
Diabetic kidney disease and other long-term complications are common in diabetes, and comprise the main cause of co-morbidity and premature mortality in individuals with diabetes. While familial clustering and heritability have been reported for all diabetic complications, the genetic background and the molecular mechanisms remain poorly understood. In recent years, genome-wide association studies have identified a few susceptibility loci for the renal complications as well as for diabetic retinopathy, diabetic cardiovascular disease and mortality. As for many complex diseases, the genetic factors increase the risk of complications in concert with the environment, and certain associations seem specific for particular conditions, for example, SP3-CDCA7 associated with end-stage renal disease only in women, or MGMT and variants on chromosome 5q13 associated with cardiovascular mortality only under tight glycaemic control. The characterization of the phenotypes is one of the main challenges for genetic research on diabetic complications, in addition to an urgent need to increase the number of individuals with diabetes with high quality phenotypic data to be included in future genetic studies.
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Affiliation(s)
- Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, 00290 Helsinki, Finland; Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, 00290 Helsinki, Finland; Research Programs Unit, Diabetes and Obesity, University of Helsinki, 00290 Helsinki, Finland.
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, 00290 Helsinki, Finland; Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, 00290 Helsinki, Finland; Research Programs Unit, Diabetes and Obesity, University of Helsinki, 00290 Helsinki, Finland; Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
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34
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Leung A, Amaram V, Natarajan R. Linking diabetic vascular complications with LncRNAs. Vascul Pharmacol 2018; 114:139-144. [PMID: 29398367 DOI: 10.1016/j.vph.2018.01.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 01/22/2018] [Accepted: 01/22/2018] [Indexed: 12/26/2022]
Abstract
Diabetes leads to markedly accelerated rates of many associated macrovascular complications like hypertension and atherosclerosis, and microvascular complications like nephropathy and retinopathy. High glucose, the hallmark of diabetes, drives changes in vascular and inflammatory cells that promote the development of these complications. Understanding the molecular processes involved in the development of diabetes and its debilitating complications can lead to much needed newer clinical therapies. Recently, long-noncoding RNAs (lncRNAs) have been shown to be important in the biology of vascular cells and there is growing evidence that lncRNAs are also involved in the cell biology relevant to diabetic vascular complications. In this review, we provide an overview of lncRNAs that function in vascular cells, and those that have been linked to diabetic complications.
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Affiliation(s)
- Amy Leung
- Department of Diabetes Complications and Metabolism, Diabetes and Metabolic Research Institute, 1500 East Duarte Road, Duarte, CA 91010, United States
| | - Vishnu Amaram
- Department of Diabetes Complications and Metabolism, Diabetes and Metabolic Research Institute, 1500 East Duarte Road, Duarte, CA 91010, United States; Irell and Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, 1500 East Duarte Road, Duarte, CA 91010, United States
| | - Rama Natarajan
- Department of Diabetes Complications and Metabolism, Diabetes and Metabolic Research Institute, 1500 East Duarte Road, Duarte, CA 91010, United States; Irell and Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, 1500 East Duarte Road, Duarte, CA 91010, United States.
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35
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Siddiqui A, Hussain S, Azam A, Muslim I, Maqsood SI, Ahmed W, Murad M, Niazi MK, Ishaq M, Waheed NK, Qamar R, Azam M. ANRIL polymorphism rs1333049, a novel genetic predictor for diabetic retinopathy complication. Meta Gene 2017. [DOI: 10.1016/j.mgene.2017.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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36
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He X, Ou C, Xiao Y, Han Q, Li H, Zhou S. LncRNAs: key players and novel insights into diabetes mellitus. Oncotarget 2017; 8:71325-71341. [PMID: 29050364 PMCID: PMC5642639 DOI: 10.18632/oncotarget.19921] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 07/19/2017] [Indexed: 12/14/2022] Open
Abstract
Long non-coding RNAs (LncRNAs) are a class of endogenous RNA molecules, which have a transcribing length of over 200 nt, lack a complete functional open reading frame (ORF), and rarely encode a functional short peptide. Recent studies have revealed that disruption of LncRNAs levels correlates with several human diseases, including diabetes mellitus (DM), a complex multifactorial metabolic disorder affecting more than 400 million people worldwide. LncRNAs are emerging as pivotal regulators in various biological processes, in the progression of DM and its associated complications, involving pancreatic β-cell disorder, insulin resistance, and epigenetic regulation, etc. Further investigation into the mechanisms of action of LncRNAs in DM will be of great value in the thorough understanding of pathogenesis. However, prior to successful application of LncRNAs, further search for molecular biomarkers and drug targets to provide a new strategy for DM prevention, early diagnosis, and therapy is warranted.
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Affiliation(s)
- Xiaoyun He
- Department of Endocrinology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chunlin Ou
- Cancer Research Institute, Central South University, Changsha 410078, China
| | - Yanhua Xiao
- Department of Endocrinology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
| | - Qing Han
- Department of Endocrinology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
| | - Hao Li
- Department of Neurology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
| | - Suxian Zhou
- Department of Endocrinology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
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37
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Miao Y, Xu SY, Chen LS, Liang GY, Pu YP, Yin LH. Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis. Oncotarget 2017; 8:83114-83127. [PMID: 29137328 PMCID: PMC5669954 DOI: 10.18632/oncotarget.20851] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 08/18/2017] [Indexed: 12/13/2022] Open
Abstract
Purpose This study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively. Methods Publications from 2007 to 2016 were retrieved from the Web of Science Core Collection database. Microsoft Excel 2016 and CiteSpace IV software were used to analyze publication outputs, journals, countries, institutions, authors, citation counts, ESI top papers, H-index, and research frontiers. Results A total of 3,008 papers on lncRNA research were identified published by June 17, 2017. The journal, Oncotarget (IF2016, 5.168) ranked first in the number of publications. China had the largest number of publications (1,843), but the United States showed its dominant position in both citation frequency (45,120) and H-index (97). Zhang Y (72 publications) published the most papers, and Guttman M (1,556 citations) had the greatest co-citation counts. The keyword “database” ranked first in research frontiers. Conclusion The annual number of publications rapidly increased in the past decade. China showed its significant progress in lncRNA research, but the United States was the actual leading country in this field. Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted. Guttman M, Mercer TR, Rinn JL, and Gupta RA were identified as good candidates for research collaboration. “Database,” “Xist RNA,” and “Genome-wide association study” should be closely observed in this field.
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Affiliation(s)
- Yan Miao
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Si-Yi Xu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Lu-Si Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Ge-Yu Liang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Yue-Pu Pu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China
| | - Li-Hong Yin
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China
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38
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Abstract
PURPOSE OF REVIEW Diabetic complications affecting the kidneys, retina, nerves, and the cardiovasculature are the major causes of morbidity and mortality in diabetes. This paper aims to review the current understanding of the genetic basis of these complications, based on recent findings especially from genome-wide association studies. RECENT FINDINGS Variants in or near AFF3, RGMA-MCTP2, SP3-CDCA7, GLRA3, CNKSR3, and UMOD have reached genome-wide significance (p value <5 × 10-8) for association with diabetic kidney disease, and recently, GRB2 was reported to be associated at genome-wide significance with diabetic retinopathy. While some loci affecting cardiovascular disease in the general population have been replicated in diabetes, GLUL affects the risk of cardiovascular disease specifically in diabetic subjects. Genetic findings are emerging for diabetic complications, although the studies remain relatively small compared to those for type 1 and type 2 diabetes. In addition to pinpointing specific loci, the studies also reveal biological information on correlated traits and pathways.
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Affiliation(s)
- Emma Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Haartmaninkatu 8, 00290, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Haartmaninkatu 8, 00290, Helsinki, Finland.
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
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39
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Wan P, Su W, Zhuo Y. Precise long non-coding RNA modulation in visual maintenance and impairment. J Med Genet 2017; 54:450-459. [PMID: 28003323 PMCID: PMC5502309 DOI: 10.1136/jmedgenet-2016-104266] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 11/27/2016] [Accepted: 11/28/2016] [Indexed: 12/20/2022]
Abstract
Long non-coding RNAs (lncRNAs) are remarkably powerful, flexible and pervasive cellular regulators. With the help of cheaper RNA-seq, high-throughput screening of lncRNAs has become widely applied and has identified large numbers of specific lncRNAs in various physiological or pathological processes. Vision is known to be a complex and vital perception that comprises 80% of the sensory information we receive. A consensus has been reached that normal visual maintenance and impairment are primarily driven by gene regulation. Recently, it has become understood that lncRNAs are key regulators in most biological processes, including cell proliferation, apoptosis, differentiation, immune responses, oxidative stress and inflammation. Our review is intended to provide insight towards a comprehensive view of the precise modulation of lncRNAs in visual maintenance and impairment. We also highlight the challenges and future directions in conducting lncRNA studies, particularly in patients whose lncRNAs may hold expanded promise for diagnostic, prognostic and therapeutic applications.
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Affiliation(s)
- Peixing Wan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenru Su
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yehong Zhuo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, China
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40
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Li R, Chen P, Li J, Yan M, Li J, Li S, Zhu H. Association of ARHGAP22 gene polymorphisms with the risk of type 2 diabetic retinopathy. J Gene Med 2017; 19. [PMID: 28544509 DOI: 10.1002/jgm.2960] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 05/04/2017] [Accepted: 05/08/2017] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Little is known about the contribution of ARHGAP22 polymorphism to diabetic retinopathy (DR) risk. We performed a case-control study to investigate the associations between ARHGAP22 and the risk of DR in a Chinese Han population. METHODS A total of 341 patients with type 2 diabetes mellitus (T2DM) were selected. All patients underwent a complete eye examination. Based on this, the patients with T2DM were divided into two subgroups: 188 patients with DR and 153 patients without DR. Five single nucleotide polymorphism (SNPs) were selected and genotyped using the MassARRAY method (Sequenom, San Diego, CA, USA). The odds ratio (OR) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression adjusted for age and sex. RESULTS Two susceptibility SNPs in ARHGAP22 were found to be associated with an increased risk of DR both before and after the adjustment: rs10491034 under the dominant model (adjusted OR = 0.51, 95% CI = 0.27-0.95, p = 0.032) and additive model (adjusted OR = 0.47, 95% CI = 0.26-0.84, p = 0.0098) and rs3844492 under the codominant model (adjusted OR = 3.14, 95% CI = 1.10-9.01, p = 0.023) and recessive model (adjusted OR = 3.52, 95% CI = 1.26-9.85, p = 0.011). CONCLUSIONS Our findings reveal a significant association between SNPs in the ARHGAP22 gene and DR risk in a Han Chinese population.
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Affiliation(s)
- Rong Li
- School of Life Sciences, Northwest University, Xi'an, Shaanxi, China.,Department of Ophthalmology, the First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China
| | - Peng Chen
- Institution of Basic Medical Science, Xi'an Medical University, Xi'an, Shaanxi, China
| | - Jing Li
- School of Life Sciences, Northwest University, Xi'an, Shaanxi, China
| | - Mengdan Yan
- School of Life Sciences, Northwest University, Xi'an, Shaanxi, China
| | - Jingjie Li
- School of Life Sciences, Northwest University, Xi'an, Shaanxi, China
| | - Shanqu Li
- Medical Examination Center of Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Hongli Zhu
- School of Life Sciences, Northwest University, Xi'an, Shaanxi, China
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Ung C, Sanchez AV, Shen L, Davoudi S, Ahmadi T, Navarro-Gomez D, Chen CJ, Hancock H, Penman A, Hoadley S, Consugar M, Restrepo C, Shah VA, Arboleda-Velasquez JF, Sobrin L, Gai X, Kim LA. Whole exome sequencing identification of novel candidate genes in patients with proliferative diabetic retinopathy. Vision Res 2017; 139:168-176. [PMID: 28431867 DOI: 10.1016/j.visres.2017.03.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 03/28/2017] [Accepted: 03/30/2017] [Indexed: 10/19/2022]
Abstract
Rare or novel gene variants in patients with proliferative diabetic retinopathy may contribute to disease development. We performed whole exome sequencing (WES) on patients at the phenotypic extremes of diabetic retinal complications: 57 patients diagnosed with proliferative diabetic retinopathy (PDR) as cases and 13 patients with no diabetic retinopathy despite at least 10years of type 2 diabetes as controls. Thirty-one out of the 57 cases and all 13 controls were from the African American Proliferative Diabetic Retinopathy Study (AA). The rest of the cases were of mixed ethnicities (ME). WES identified 721 candidate genes with rare or novel non-synonymous variants found in at least one case with PDR and not present in any controls. After filtering for genes with null alleles in greater than two cases, 28 candidate genes were identified in our ME cases and 16 genes were identified in our AA cases. Our analysis showed rare and novel variants within these genes that could contribute to the development of PDR, including rare non-synonymous variants in FAM132A, SLC5A9, ZNF600, and TMEM217. We also found previously unidentified variants in VEGFB and APOB. We found that VEGFB, VPS13B, PHF21A, NAT1, ZNF600, PKHD1L1 expression was reduced in human retinal endothelial cells (HRECs) cultured under high glucose conditions. In an exome sequence analysis of patients with PDR, we identified variants in genes that could contribute to pathogenesis. Six of these genes were further validated and found to have reduced expression in HRECs under high glucose conditions, suggestive of an important role in the development of PDR.
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Affiliation(s)
- Cindy Ung
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Angie V Sanchez
- Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Lishuang Shen
- Center for Personalized Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Samaneh Davoudi
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Tina Ahmadi
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Daniel Navarro-Gomez
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Ching J Chen
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, MS, USA
| | - Heather Hancock
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, MS, USA
| | - Alan Penman
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Suzanne Hoadley
- Department of Ophthalmology, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mark Consugar
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Carlos Restrepo
- Basic Science Group, School of Medicine, CES University, Medellin, Colombia
| | - Vinay A Shah
- Department of Ophthalmology, Dean McGee Eye Institute, University of Oklahoma, OK, USA
| | - Joseph F Arboleda-Velasquez
- Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
| | - Lucia Sobrin
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA.
| | - Xiaowu Gai
- Center for Personalized Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA.
| | - Leo A Kim
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA.
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Buzzetti R, Prudente S, Copetti M, Dauriz M, Zampetti S, Garofolo M, Penno G, Trischitta V. Clinical worthlessness of genetic prediction of common forms of diabetes mellitus and related chronic complications: A position statement of the Italian Society of Diabetology. Nutr Metab Cardiovasc Dis 2017; 27:99-114. [PMID: 28063875 DOI: 10.1016/j.numecd.2016.08.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 08/01/2016] [Accepted: 08/13/2016] [Indexed: 02/08/2023]
Abstract
AIM We are currently facing several attempts aimed at marketing genetic data for predicting multifactorial diseases, among which diabetes mellitus is one of the more prevalent. The present document primarily aims at providing to practicing physicians a summary of available data regarding the role of genetic information in predicting diabetes and its chronic complications. DATA SYNTHESIS Firstly, general information about characteristics and performance of risk prediction tools will be presented in order to help clinicians to get acquainted with basic methodological information related to the subject at issue. Then, as far as type 1 diabetes is concerned, available data indicate that genetic information and counseling may be useful only in families with many affected individuals. However, since no disease prevention is possible, the utility of predicting this form of diabetes is at question. In the case of type 2 diabetes, available data really question the utility of adding genetic information on top of well performing, easy available and inexpensive non-genetic markers. Finally, the possibility of using the few available genetic data on diabetic complications for improving our ability to predict them will also be presented and discussed. For cardiovascular complication, the addition of genetic information to models based on clinical features does not translate in a substantial improvement in risk discrimination. For all other diabetic complications genetic information are currently very poor and cannot, therefore, be used for improving risk stratification. CONCLUSIONS In all, nowadays the use of genetic testing for predicting diabetes and its chronic complications is definitively of little value in clinical practice.
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Affiliation(s)
- R Buzzetti
- Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy; UOC Diabetology, Polo Pontino, "Sapienza" University of Rome, Rome, Italy
| | - S Prudente
- Mendel Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - M Copetti
- Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - M Dauriz
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona School of Medicine and Hospital Trust of Verona, Verona, Italy
| | - S Zampetti
- Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy; UOC Diabetology, Polo Pontino, "Sapienza" University of Rome, Rome, Italy
| | - M Garofolo
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - G Penno
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - V Trischitta
- Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy; Mendel Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy; Research Unit of Diabetes and Endocrine Diseases, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
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Wang JH, Ling D, Tu L, van Wijngaarden P, Dusting GJ, Liu GS. Gene therapy for diabetic retinopathy: Are we ready to make the leap from bench to bedside? Pharmacol Ther 2017; 173:1-18. [PMID: 28132907 DOI: 10.1016/j.pharmthera.2017.01.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Diabetic retinopathy (DR), a chronic and progressive complication of diabetes mellitus, is a sight-threatening disease characterized in the early stages by neuronal and vascular dysfunction in the retina, and later by neovascularization that further damages vision. A major contributor to the pathology is excess production of vascular endothelial growth factor (VEGF), a growth factor that induces formation of new blood vessels and increases permeability of existing vessels. Despite the recent availability of effective treatments for the disease, including laser photocoagulation and therapeutic VEGF antibodies, DR remains a significant cause of vision loss worldwide. Existing anti-VEGF agents, though generally effective, are limited by their short therapeutic half-lives, necessitating frequent intravitreal injections and the risk of attendant adverse events. Management of DR with gene therapies has been proposed for several years, and pre-clinical studies have yielded enticing findings. Gene therapy holds several advantages over conventional treatments for DR, such as a longer duration of therapeutic effect, simpler administration, the ability to intervene at an earlier stage of the disease, and potentially fewer side-effects. In this review, we summarize the current understanding of the pathophysiology of DR and provide an overview of research into DR gene therapies. We also examine current barriers to the clinical application of gene therapy for DR and evaluate future prospects for this approach.
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Affiliation(s)
- Jiang-Hui Wang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia
| | - Damien Ling
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia; Discipline of Ophthalmology, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Leilei Tu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Peter van Wijngaarden
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia
| | - Gregory J Dusting
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia
| | - Guei-Sheung Liu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia; Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia.
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Wu H, Wu H, Shi L, Yuan X, Yin Y, Yuan M, Zhou Y, Hu Q, Jiang K, Dong J. The Association of Haptoglobin Gene Variants and Retinopathy in Type 2 Diabetic Patients: A Meta-Analysis. J Diabetes Res 2017; 2017:2195059. [PMID: 28758129 PMCID: PMC5512055 DOI: 10.1155/2017/2195059] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Accepted: 05/23/2017] [Indexed: 11/25/2022] Open
Abstract
AIMS/INTRODUCTION To collectively evaluate the association between haptoglobin (Hp) gene variants and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). METHODS A comprehensive literature review was performed for eligible studies. After inclusion and exclusion selection as well as quality assessment, those studies meeting quality standards were included. In this study, diabetic patients with retinopathy were selected as the case group and those ones without DR were treated as the control group. The recessive model, allele model, additive model, heterozygote model, and homozygote model were utilized to investigate the association of three Hp gene variants and DR. Subgroup analysis on different severity of DR including nonproliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR) was also conducted. RESULTS Six trials from different regions were finally included. A total of 1145 subjects containing 564 T2DM patients with retinopathy were included. The recessive model, allele model, additive model, and homozygote model results showed that Hp gene variants were not associated with DR, NPDR, and PDR. However, the heterozygote model indicated the association of Hp gene variants with DR. CONCLUSIONS No association was found between the Hp gene variants and PDR and NPDR. More studies are required to verify these findings.
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Affiliation(s)
- Huiqun Wu
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Huan Wu
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
| | - Lili Shi
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
| | - Xinlu Yuan
- Department of Endocrinology, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Ying Yin
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
| | - Mingjie Yuan
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
| | - Yushan Zhou
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
| | - Qianwen Hu
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
| | - Kui Jiang
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
- *Kui Jiang:
| | - Jiancheng Dong
- Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China
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Type 2 Diabetes Genetic Variants and Risk of Diabetic Retinopathy. Ophthalmology 2016; 124:336-342. [PMID: 28038984 DOI: 10.1016/j.ophtha.2016.11.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 11/11/2016] [Accepted: 11/11/2016] [Indexed: 02/05/2023] Open
Abstract
PURPOSE Genetic association studies to date have not identified any robust risk loci for diabetic retinopathy (DR). We hypothesized that individuals with more diabetes genetic risk alleles have a higher risk of developing DR. DESIGN Case-control genetic association study. PARTICIPANTS We evaluated the aggregate effects of multiple type 2 diabetes-associated genetic variants on the risk of DR among 1528 participants with diabetes from the Singapore Epidemiology of Eye Diseases Study, of whom 547 (35.8%) had DR. METHODS Participants underwent a comprehensive ocular examination, including dilated fundus photography. Retinal photographs were graded using the modified Airlie House classification system to assess the presence and severity of DR following a standardized protocol. We identified 76 previously discovered type 2 diabetes-associated single nucleotide polymorphisms (SNPs) and constructed multilocus genetic risk scores (GRSs) for each individual by summing the number of risk alleles for each SNP weighted by the respective effect estimates on DR. Two GRSs were generated: an overall GRS that included all 76 discovered type 2 diabetes-associated SNPs, and an Asian-specific GRS that included a subset of 55 SNPs previously found to be associated with type 2 diabetes in East and/or South Asian ancestry populations. Associations between the GRSs with DR were determined using logistic regression analyses. Discriminating ability of the GRSs was determined by the area under the receiver operating characteristic curve (AUC). MAIN OUTCOME MEASURES Odds ratios on DR. RESULTS Participants in the top tertile of the overall GRS were 2.56-fold more likely to have DR compared with participants in the lowest tertile. Participants in the top tertile of the Asian-specific GRS were 2.00-fold more likely to have DR compared with participants in the bottom tertile. Both GRSs were associated with higher DR severity levels. However, addition of the GRSs to traditional risk factors improved the AUC only modestly by 3% to 4%. CONCLUSIONS Type 2 diabetes-associated genetic loci were significantly associated with higher risks of DR, independent of traditional risk factors. Our findings may provide new insights to further our understanding of the genetic pathogenesis of DR.
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Abstract
Diabetic retinopathy (DR), a leading cause of acquired vision loss, is a microvascular complication of diabetes. While traditional risk factors for diabetic retinopathy including longer duration of diabetes, poor blood glucose control, and dyslipidemia are helpful in stratifying patient's risk for developing retinopathy, many patients without these traditional risk factors develop DR; furthermore, there are persons with long diabetes duration who do not develop DR. Thus, identifying biomarkers to predict DR or to determine therapeutic response is important. A biomarker can be defined as a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. Incorporation of biomarkers into risk stratification of persons with diabetes would likely aid in early diagnosis and guide treatment methods for those with DR or with worsening DR. Systemic biomarkers of DR include serum measures including genomic, proteomic, and metabolomics biomarkers. Ocular biomarkers including tears and vitreous and retinal vascular structural changes have also been studied extensively to prognosticate the risk of DR development. The current studies on biomarkers are limited by the need for larger sample sizes, cross-validation in different populations and ethnic groups, and time-efficient and cost-effective analytical techniques. Future research is important to explore novel DR biomarkers that are non-invasive, rapid, economical, and accurate to help reduce the incidence and progression of DR in people with diabetes.
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Affiliation(s)
- Daniel Shu Wei Ting
- Singapore National Eye Center, 11 Third Hospital Avenue, Singapore, 168751, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Kara-Anne Tan
- Singapore National Eye Center, 11 Third Hospital Avenue, Singapore, 168751, Singapore
| | - Val Phua
- Singapore National Eye Center, 11 Third Hospital Avenue, Singapore, 168751, Singapore
| | - Gavin Siew Wei Tan
- Singapore National Eye Center, 11 Third Hospital Avenue, Singapore, 168751, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Chee Wai Wong
- Singapore National Eye Center, 11 Third Hospital Avenue, Singapore, 168751, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Tien Yin Wong
- Singapore National Eye Center, 11 Third Hospital Avenue, Singapore, 168751, Singapore.
- Singapore Eye Research Institute, Singapore, Singapore.
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
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Searching in the Dark: Phenotyping Diabetic Retinopathy in a De-Identified Electronic Medical Record Sample of African Americans. AMIA JOINT SUMMITS ON TRANSLATIONAL SCIENCE PROCEEDINGS. AMIA JOINT SUMMITS ON TRANSLATIONAL SCIENCE 2016; 2016:221-30. [PMID: 27570675 PMCID: PMC5001772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
A hurdle to EMR-based studies is the characterization and extraction of complex phenotypes not readily defined by single diagnostic/procedural codes. Here we developed an algorithm utilizing data mining techniques to identify a diabetic retinopathy (DR) cohort of type-2 diabetic African Americans from the Vanderbilt University de-identified EMR system. The algorithm incorporates a combination of diagnostic codes, current procedural terminology billing codes, medications, and text matching to identify DR when gold-standard digital photography results were unavailable. DR cases were identified with a positive predictive value of 75.3% and an accuracy of 84.8%. Controls were classified with a negative predictive value of 1.0% as could be assessed. Limited studies of DR have been performed in African Americans who are at an elevated risk of DR. Identification of EMR-based African American cohorts may help stimulate new biomedical studies that could elucidate differences in risk for the development of DR and other complex diseases.
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Sun X, Wong D. Long non-coding RNA-mediated regulation of glucose homeostasis and diabetes. AMERICAN JOURNAL OF CARDIOVASCULAR DISEASE 2016; 6:17-25. [PMID: 27335687 PMCID: PMC4913211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 03/03/2016] [Indexed: 06/06/2023]
Abstract
Long non-coding RNAs (lncRNAs) represent an important class of non-coding RNAs that plays key roles in regulating the expression of genes in health and disease. Accumulating genetic, experimental, and epidemiological studies highlight a growing list of lncRNAs that control glucose homeostasis and diabetic pathologies and complications. Through interactions with chromatin, RNA, and protein, lncRNAs modulate chromatin modification, mRNA stability, microRNA activity, and the function of proteins such as transcription factors. This review highlights emerging concepts in lncRNA-mediated control of glucose homeostasis as well as some of the challenges and therapeutic opportunities in the pathogenesis of diabetes and its complications.
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Affiliation(s)
- Xinghui Sun
- Department of Medicine, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School Boston, MA 02115, USA
| | - Danny Wong
- Department of Medicine, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School Boston, MA 02115, USA
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Agarwal A, Ingham SA, Harkins KA, Do DV, Nguyen QD. The role of pharmacogenetics and advances in gene therapy in the treatment of diabetic retinopathy. Pharmacogenomics 2016; 17:309-20. [PMID: 26807609 DOI: 10.2217/pgs.15.173] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Diabetic retinopathy (DR) and its complications such as diabetic macular edema continue to remain a major cause for legal blindness in the developed world. While the introduction of anti-tVEGF agents has significantly improved visual outcomes of patients with DR, unpredictable response, largely due to genetic polymorphisms, appears to be a challenge with this therapy. With advances in identification of various genetic biomarkers, novel therapeutic strategies consisting of gene transfer are being developed and tested for patients with DR. Application of pharmacogenetic principles appears to be a promising futuristic strategy to attenuate diabetes-mediated retinal vasculopathy. In this comprehensive review, data from recent studies in the field of pharmacogenomics for the treatment of DR have been provided.
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Affiliation(s)
- Aniruddha Agarwal
- Ocular Imaging Research & Reading Center (OIRRC), Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA
| | - Sally A Ingham
- College of Medicine, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA
| | - Keegan A Harkins
- Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA
| | - Diana V Do
- Ocular Imaging Research & Reading Center (OIRRC), Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA.,Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA
| | - Quan Dong Nguyen
- Ocular Imaging Research & Reading Center (OIRRC), Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA.,Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, South 42nd Street & Emile St, Omaha, NE 68198, USA
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Davoudi S, Sobrin L. Novel Genetic Actors of Diabetes-Associated Microvascular Complications: Retinopathy, Kidney Disease and Neuropathy. Rev Diabet Stud 2016; 12:243-59. [PMID: 26859656 DOI: 10.1900/rds.2015.12.243] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Both type 1 and type 2 diabetes mellitus can lead to the common microvascular complications of diabetic retinopathy, kidney disease, and neuropathy. Diabetic patients do not universally develop these complications. Long duration of diabetes and poor glycemic control explain a lot of the variability in the development of microvascular complications, but not all. Genetic factors account for some of the remaining variability because of the heritability and familial clustering of these complications. There have been a large number of investigations, including linkage studies, candidate gene studies, and genome-wide association studies, all of which have sought to identify the specific variants that increase susceptibility. For retinopathy, several genome-wide association studies have been performed in small or midsize samples, but no reproducible loci across the studies have been identified. For diabetic kidney disease, genome-wide association studies in larger samples have been performed, and loci for this complication are beginning to emerge. However, validation of the existing discoveries, and further novel discoveries in larger samples is ongoing. The amount of genetic research into diabetic neuropathy has been very limited, and much is dedicated to the understanding of genetic risk factors only. Collaborations that pool samples and aim to detect phenotype classifications more precisely are promising avenues for a better explanation of the genetics of diabetic microvascular complications.
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Affiliation(s)
- Samaneh Davoudi
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA
| | - Lucia Sobrin
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA
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