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Ouyang H, Xie Y, Du A, Dong S, Zhou S, Lu B, Wang Z, Ji L. Chlorogenic acid ameliorates non-proliferative diabetic retinopathy via alleviating retinal inflammation through targeting TNFR1 in retinal endothelial cells. Int Immunopharmacol 2024; 141:112929. [PMID: 39153307 DOI: 10.1016/j.intimp.2024.112929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/31/2024] [Accepted: 08/10/2024] [Indexed: 08/19/2024]
Abstract
As a prominent complication of diabetes mellitus (DM) affecting microvasculature, diabetic retinopathy (DR) originates from blood-retinal barrier (BRB) damage. Natural polyphenolic compound chlorogenic acid (CGA) has already been reported to alleviate DR. This study delves into the concrete mechanism of the CGA-supplied protection against DR and elucidates its key target in retinal endothelial cells. DM in mice was induced using streptozotocin (STZ). CGA mitigated BRB dysfunction, leukocytes adhesion and the formation of acellular vessels in vivo. CGA suppressed retinal inflammation and the release of tumor necrosis factor-α (TNFα) by inhibiting nuclear factor kappa-B (NFκB). Furthermore, CGA reduced the TNFα-initiated adhesion of peripheral blood mononuclear cell (PBMC) to human retinal endothelial cell (HREC). CGA obviously decreased the TNFα-upregulated expression of vascular cell adhesion molecule-1 (VCAM1) and intercellular adhesion molecule-1 (ICAM1), and abrogated the TNFα-induced NFκB activation in HRECs. All these phenomena were reversed by overexpressing type 1 TNF receptor (TNFR1) in HRECs. The CGA-provided improvement on leukocytes adhesion and retinal inflammation was disappeared in mice injected with an endothelial-specific TNFR1 overexpression adeno-associated virus (AAV). CGA reduced the interaction between TNFα and TNFR1 through binding to TNFR1 in retinal endothelial cells. In summary, excepting reducing TNFα expression via inhibiting retinal inflammation, CGA also reduced the adhesion of leukocytes to retinal vessels through decreasing VCAM1 and ICAM1 expression via blocking the TNFα-initiated NFκB activation by targeting TNFR1 in retinal endothelial cells. All of those mitigated retinal inflammation, ultimately alleviating BRB breakdown in DR.
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MESH Headings
- Animals
- Diabetic Retinopathy/drug therapy
- Diabetic Retinopathy/metabolism
- Diabetic Retinopathy/immunology
- Receptors, Tumor Necrosis Factor, Type I/metabolism
- Receptors, Tumor Necrosis Factor, Type I/genetics
- Endothelial Cells/drug effects
- Endothelial Cells/metabolism
- Chlorogenic Acid/pharmacology
- Chlorogenic Acid/therapeutic use
- Humans
- Tumor Necrosis Factor-alpha/metabolism
- Mice, Inbred C57BL
- Male
- NF-kappa B/metabolism
- Mice
- Retina/drug effects
- Retina/pathology
- Retina/metabolism
- Diabetes Mellitus, Experimental/drug therapy
- Diabetes Mellitus, Experimental/metabolism
- Intercellular Adhesion Molecule-1/metabolism
- Vascular Cell Adhesion Molecule-1/metabolism
- Cell Adhesion/drug effects
- Blood-Retinal Barrier/drug effects
- Blood-Retinal Barrier/metabolism
- Anti-Inflammatory Agents/pharmacology
- Anti-Inflammatory Agents/therapeutic use
- Cells, Cultured
- Leukocytes, Mononuclear/drug effects
- Leukocytes, Mononuclear/metabolism
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Affiliation(s)
- Hao Ouyang
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; Department of Hepatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yumin Xie
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ao Du
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Shiyuan Dong
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Siyan Zhou
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Bin Lu
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zhengtao Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Lili Ji
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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2
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Baytaroğlu İMU, Baytaroğlu A, Toros MU, Daldal H. Incidence of diabetic retinopathy in anti-tnf treated rheumatic disease patients with type 2 diabetes. Graefes Arch Clin Exp Ophthalmol 2024:10.1007/s00417-024-06529-3. [PMID: 38842591 DOI: 10.1007/s00417-024-06529-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 04/18/2024] [Accepted: 05/21/2024] [Indexed: 06/07/2024] Open
Abstract
OBJECTIVE This study aimed to evaluate the impact of anti-TNF (biological) therapies on the incidence and progression of diabetic retinopathy. MATERIALS AND METHODS A cross-sectional analysis of 50 diabetic patients with rheumatic diseases (group 1) was performed. An age-, sex-, and HbA1c-matched control group (group 2) was formed from a pool of diabetic patients who underwent regular eye examinations. The presence or absence of diabetic retinopathy was also assessed. Comorbidities such as hypertension, coronary artery disease, and hyperlipidemia were also evaluated as possible confounding factors. RESULTS Hundred eyes of 50 patients were evaluated in each group. Only three patients in group 1 had non-proliferative retinopathy. The median duration of rheumatic disease was 9 years, whereas that of diabetes was 11 years. The mean duration of anti-TNF therapy was 4 years. In the control group of diabetes-only patients, 13 patients developed some form of newly diagnosed diabetic retinopathy during the last five years. The calculated retinopathy occurrence between the groups was statistically significant (p < 0.05). In this study, the incidence rate ratio for patients receiving anti-TNF treatment was calculated as 0.4 in the study. CONCLUSION TNF inhibitors, with their anti-inflammatory effects, positively impact diabetic complications by reducing the incidence of retinopathy. To our knowledge, this is the first study to evaluate retinopathy development after anti-TNF therapy.
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Affiliation(s)
| | - Ata Baytaroğlu
- Ophthalmology Department, Uşak Training and Research Hospital, Uşak, Turkey
| | - Merve Uçar Toros
- Endocrinology Department, Uşak Training and Research Hospital, Uşak, Turkey
| | - Hatice Daldal
- Ophthalmology Department, Uşak Training and Research Hospital, Uşak, Turkey
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3
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Amorim M, Martins B, Fernandes R. Immune Fingerprint in Diabetes: Ocular Surface and Retinal Inflammation. Int J Mol Sci 2023; 24:9821. [PMID: 37372968 DOI: 10.3390/ijms24129821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 05/29/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
Diabetes is a prevalent global health issue associated with significant morbidity and mortality. Diabetic retinopathy (DR) is a well-known inflammatory, neurovascular complication of diabetes and a leading cause of preventable blindness in developed countries among working-age adults. However, the ocular surface components of diabetic eyes are also at risk of damage due to uncontrolled diabetes, which is often overlooked. Inflammatory changes in the corneas of diabetic patients indicate that inflammation plays a significant role in diabetic complications, much like in DR. The eye's immune privilege restricts immune and inflammatory responses, and the cornea and retina have a complex network of innate immune cells that maintain immune homeostasis. Nevertheless, low-grade inflammation in diabetes contributes to immune dysregulation. This article aims to provide an overview and discussion of how diabetes affects the ocular immune system's main components, immune-competent cells, and inflammatory mediators. By understanding these effects, potential interventions and treatments may be developed to improve the ocular health of diabetic patients.
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Affiliation(s)
- Madania Amorim
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Institute of Pharmacology and Experimental Therapeutics, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Beatriz Martins
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Institute of Pharmacology and Experimental Therapeutics, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-531 Coimbra, Portugal
| | - Rosa Fernandes
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Institute of Pharmacology and Experimental Therapeutics, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-531 Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), 3004-561 Coimbra, Portugal
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4
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Weir NL, Guan W, Karger AB, Klein BEK, Meuer SM, Cotch MF, Guo X, Li X, Tan J, Genter P, Chen YDI, Rotter JI, Ipp E, Tsai MY. OMEGA-3 FATTY ACIDS ARE ASSOCIATED WITH DECREASED PRESENCE AND SEVERITY OF DIABETIC RETINOPATHY: A Combined Analysis of MESA and GOLDR Cohorts. Retina 2023; 43:984-991. [PMID: 36735419 DOI: 10.1097/iae.0000000000003745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
PURPOSE Inflammation is associated with diabetic retinopathy development and progression, and previous studies have demonstrated that omega-3 polyunsaturated fatty acids have anti-inflammatory properties. Therefore, the goal of this study was to determine if omega-3 polyunsaturated fatty acids, docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), are associated with decreased risk and severity of retinopathy in individuals with type 2 diabetes. METHODS In a combined population of 1,356 individuals with type 2 diabetes from the Multi-Ethnic Study of Atherosclerosis and Genetics of Latino Diabetic Retinopathy cohorts, odds ratios using logistic regression were determined to assess the association between polyunsaturated fatty acids and retinopathy. RESULTS In 1,356 participants with type 2 diabetes, individuals in the fourth quartile of DHA were 17% less likely to have retinopathy compared with the first quartile ( P = 0.009, CI: 0.72-0.95). Secondary analysis revealed 38% lower severity of retinopathy in individuals in the fourth quartile compared with the first quartile of DHA ( P = 0.006; CI: 0.44-0.87) and EPA + DHA ( P = 0.004; CI: 0.44-0.85). No significant associations were observed between EPA and retinopathy. CONCLUSION DHA is inversely associated with the presence and severity of diabetic retinopathy. Increased intake of dietary sources of DHA may provide some protection against retinopathy in individuals with type 2 diabetes and warrants more research as a preventative option.
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Affiliation(s)
- Natalie L Weir
- Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Weihua Guan
- School of Public Health, University of Minnesota, Minnesota
| | - Amy B Karger
- Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Barbara E K Klein
- Department of Ophthalmology & Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin
| | - Stacy M Meuer
- Department of Ophthalmology & Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin
| | - Mary Frances Cotch
- Division of Epidemiology and Clinical Applications, National Eye Institute (NEI), Bethesda, Maryland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California; and
| | - Xiaohui Li
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California; and
| | - Jingyi Tan
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California; and
| | - Pauline Genter
- Division of Endocrinology and Metabolism, Department of Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California; and
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California; and
| | - Eli Ipp
- Division of Endocrinology and Metabolism, Department of Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Michael Y Tsai
- Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, Minnesota
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5
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Violetta L, Kartasasmita AS, Supriyadi R, Rita C. Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease. Vision (Basel) 2023; 7:vision7020034. [PMID: 37092467 PMCID: PMC10123608 DOI: 10.3390/vision7020034] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/05/2023] [Accepted: 03/30/2023] [Indexed: 04/25/2023] Open
Abstract
The purpose of this review is to outline the currently available circulating biomarkers to predict diabetic retinopathy (DR) in patients with diabetic kidney disease (DKD). Studies have extensively reported the association between DR and DKD, suggesting the presence of common pathways of microangiopathy. The presence of other ocular complications including diabetic cataracts may hinder the detection of retinopathy, which may affect the visual outcome after surgery. Unlike DKD screening, the detection of DR requires complex, costly machines and trained technicians. Recognizing potential biological markers related to glycation and oxidative stress, inflammation and endothelial dysfunction, basement membrane thickening, angiogenesis, and thrombosis as well as novel molecular markers involved in the microangiopathy process may be useful as predictors of retinopathy and identify those at risk of DR progression, especially in cases where retinal visualization becomes a clinical challenge. Further investigations could assist in deciding which biomarkers possess the highest predictive power to predict retinopathy in clinical settings.
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Affiliation(s)
- Laurencia Violetta
- Nephrology Division, Department of Internal Medicine, Gatot Soebroto Indonesia Army Central Hospital, Jakarta 10410, Indonesia
| | | | - Rudi Supriyadi
- Faculty of Medicine, Universitas Padjajaran, Bandung 40132, Indonesia
| | - Coriejati Rita
- Faculty of Medicine, Universitas Padjajaran, Bandung 40132, Indonesia
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6
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Zhang Q, Hu XM, Zhao WJ, Ban XX, Li Y, Huang YX, Wan H, He Y, Liao LS, Shang L, Jiang B, Qing GP, Xiong K. Targeting Necroptosis: A Novel Therapeutic Option for Retinal Degenerative Diseases. Int J Biol Sci 2023; 19:658-674. [PMID: 36632450 PMCID: PMC9830514 DOI: 10.7150/ijbs.77994] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 12/15/2022] [Indexed: 01/04/2023] Open
Abstract
The discovery of the necroptosis, a form of regulated necrosis that is mediated by receptor-interacting protein kinase 1 (RIPK1), RIPK3, and mixed-lineage kinase domain-like pseudokinase (MLKL), represents a major breakthrough that has dramatically altered the conception of necrosis - traditionally thought of as uncontrolled cell death - in various human diseases. Retinal cell death is a leading cause of blindness and has been identified in most retinal diseases, e.g., age-related macular degeneration, glaucoma, retinal detachment, retinitis pigmentosa, etc. Increasing evidence demonstrates that retinal degenerative diseases also share a common mechanism in necroptosis. Exacerbated necroptotic cell death hinders the treatment for retinal degenerative diseases. In this review, we highlight recent advances in identifying retinal necroptosis, summarize the underlying mechanisms of necroptosis in retinal degenerative diseases, and discuss potential anti-necroptosis strategies, such as selective inhibitors and chemical agents, for treating retinal degenerative diseases.
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Affiliation(s)
- Qi Zhang
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, College of Emergency and Trauma, Hainan Medical University, Haikou, China
| | - Xi-min Hu
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Wen-juan Zhao
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Xiao-xia Ban
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Yan Li
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Yan-xia Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Hao Wan
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Ye He
- Changsha Aier Eye Hospital, Changsha, China
| | - Lv-shuang Liao
- School of Physical Education, Hunan Institute of Science and Technology, Yueyang, China
| | - Lei Shang
- Affiliated Eye Hospital of Nanchang University, Jiangxi Research Institute of Ophthalmology and Visual Science, Jiangxi Clinical Research Center for Ophthalmic Disease, Nanchang, China
| | - Bin Jiang
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Guo-ping Qing
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.,Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China
| | - Kun Xiong
- Department of Anatomy and Neurobiology, School of Basic Medical Sciences, Central South University, Changsha, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, College of Emergency and Trauma, Hainan Medical University, Haikou, China.,Hunan Key Laboratory of Ophthalmology, Changsha, China.,✉ Corresponding author: E-mail:
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7
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Sorkhabi R, Ahoor MH, Ghorbani Haghjo A, Tabei E, Taheri N. Assessment of tear inflammatory cytokines concentration in patients with diabetes with varying severity of involvement. Exp Eye Res 2022; 224:109233. [PMID: 36058266 DOI: 10.1016/j.exer.2022.109233] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 08/08/2022] [Accepted: 08/19/2022] [Indexed: 11/04/2022]
Abstract
Diabetic retinopathy (DR), as one of the most important causes of blindness in Western societies, is a common micro-vasculopathy associated with diabetes. There is growing evidence of the role of inflammation in its development. This study was designed to measure cytokines in patients with diabetes with different stages of retinopathy .In this study, tear concentrations of three types of cytokines with different angiogenic properties including IL-1RA, IL-8, and TNF-α were measured in patients with diabetes without retinopathy, with non-proliferative retinopathy, with proliferative retinopathy, and in a healthy control group. The results showed that concentrations of TNF-α and IL-8 were higher in the tear sample of diabetics than in the control group and the concentrations of these cytokines were higher in patients with more advanced stages of diabetes, while the tear level of IL-1RA was significantly lower in diabetics. Based on these findings, it can be concluded that diabetes and its progression of severity affects the tear levels of IL-1RA, IL-8, and TNF-α inflammatory cytokines.
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Affiliation(s)
- Rana Sorkhabi
- Department of Ophthalmology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Hossein Ahoor
- Department of Ophthalmology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amir Ghorbani Haghjo
- Department of Biochemistry and Clinical Laboratories, Tabriz University of Medical Sciences, Faculty of Medicine, Tabriz, Iran
| | - Elnaz Tabei
- Department of Ophthalmology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Nazli Taheri
- Department of Ophthalmology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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8
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Circulating Growth Differentiation Factor 15 Is Associated with Diabetic Neuropathy. J Clin Med 2022; 11:jcm11113033. [PMID: 35683420 PMCID: PMC9180959 DOI: 10.3390/jcm11113033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 05/19/2022] [Accepted: 05/25/2022] [Indexed: 12/04/2022] Open
Abstract
Background: Growth differentiation factor (GDF15) is a superfamily of transforming growth factor-beta which has been suggested to be correlated with various pathological conditions. The current study aimed to investigate the predicted role of circulating GDF15 in diabetic metabolism characteristics and diabetic neuropathy. Methods: 241 diabetic patients and 42 non-diabetic subjects were included to participate in the study. The plasma GDF15 levels were measured using ELISA. Chronic kidney disease and albuminuria were defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) guideline. The nerve conductive study (NCS) was performed with measurement of distal latency, amplitude, nerve conduction velocity (NCV), H-reflex, and F-wave studies. Results: The diabetic group had a significantly higher prevalence of chronic kidney disease and higher plasma GDF15 level. After adjusting for age and BMI, GDF15 was significantly positively correlated with waist circumference (r = 0.332, p = <0.001), hip circumference (r = 0.339, p < 0.001), HbA1c (r = 0.302, p < 0.001), serum creatine (r = 0.146, p = 0.017), urine albumin/creatinine ratio (r = 0.126, p = 0.040), and HOMA-IR (r = 0.166, p = 0.007). As to NCS, GDF15 was significantly correlated with all latency and amplitude of sensory and motor nerves, as well as F-wave and H-reflex latencies. The area under the curve (AUC) in predicting tibial motor nerve neuropathy (MNCV) in all subjects and in the diabetic group for GDF15 was 0.646 (p = 0.001) and 0.610 (p = 0.012), respectively; for HbA1c was 0.639 (p = 0.001) and 0.604 (p = 0.018), respectively. Predicting ulnar sensory nerve neuropathy for GDF15 was 0.639 (p = 0.001) and 0.658 (p = 0.001), respectively; for HbA1c was 0.545 (p = 0.307) and 0.545 (p = 0.335), respectively. Predicting median sensory nerve neuropathy for GDF15 was 0.633 (p = 0.007) and 0.611 (p = 0.032), respectively; for HbA1c was 0.631 (p = 0.008) and 0.607 (p = 0.038), respectively. Predicting CKD for GDF15 was 0.709 (95% CI, 0.648−0.771), p < 0.001) and 0.676 (95% CI, 0.605−0.746), p < 0.001), respectively; for HbA1c was 0.560 (95% CI, 0.493−0.627); p = 0.080) and 0.515 (95% CI, 0.441−0.588); p = 0.697), respectively. Conclusions: We suggest that there is a significant association between the increased serum GDF-15 level and metabolic parameters and diabetic neuropathy. Plasma GDF15 may be an independent predictor of diabetic neuropathy.
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9
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Loh M, Zhang W, Ng HK, Schmid K, Lamri A, Tong L, Ahmad M, Lee JJ, Ng MCY, Petty LE, Spracklen CN, Takeuchi F, Islam MT, Jasmine F, Kasturiratne A, Kibriya M, Mohlke KL, Paré G, Prasad G, Shahriar M, Chee ML, de Silva HJ, Engert JC, Gerstein HC, Mani KR, Sabanayagam C, Vujkovic M, Wickremasinghe AR, Wong TY, Yajnik CS, Yusuf S, Ahsan H, Bharadwaj D, Anand SS, Below JE, Boehnke M, Bowden DW, Chandak GR, Cheng CY, Kato N, Mahajan A, Sim X, McCarthy MI, Morris AP, Kooner JS, Saleheen D, Chambers JC. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. Commun Biol 2022; 5:329. [PMID: 35393509 PMCID: PMC8991226 DOI: 10.1038/s42003-022-03248-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/08/2022] [Indexed: 02/08/2023] Open
Abstract
South Asians are at high risk of developing type 2 diabetes (T2D). We carried out a genome-wide association meta-analysis with South Asian T2D cases (n = 16,677) and controls (n = 33,856), followed by combined analyses with Europeans (neff = 231,420). We identify 21 novel genetic loci for significant association with T2D (P = 4.7 × 10-8 to 5.2 × 10-12), to the best of our knowledge at the point of analysis. The loci are enriched for regulatory features, including DNA methylation and gene expression in relevant tissues, and highlight CHMP4B, PDHB, LRIG1 and other genes linked to adiposity and glucose metabolism. A polygenic risk score based on South Asian-derived summary statistics shows ~4-fold higher risk for T2D between the top and bottom quartile. Our results provide further insights into the genetic mechanisms underlying T2D, and highlight the opportunities for discovery from joint analysis of data from across ancestral populations.
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Affiliation(s)
- Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UB1 3HW, UK
| | - Hong Kiat Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - Katharina Schmid
- Institute of Computational Biology, Deutsches Forschungszentrum für Gesundheit und Umwelt, Helmholtz Zentrum München, 85764, Neuherberg, Germany
- Department of Informatics, Technical University of Munich, 85748, Garching bei München, Neuherberg, Germany
| | - Amel Lamri
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
| | - Lin Tong
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Meraj Ahmad
- Genomic Research on Complex diseases, CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Jung-Jin Lee
- Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Medicine, Mayo Hospital, Lahore, Pakistan
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, 37215, USA
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, 01003, USA
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Md Tariqul Islam
- U Chicago Research Bangladesh, House#4, Road#2b, Sector#4, Uttara, Dhaka, 1230, Bangladesh
| | - Farzana Jasmine
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Anuradhani Kasturiratne
- Department of Public Health, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - Muhammad Kibriya
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Guillaume Paré
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Gauri Prasad
- Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi, 110020, India
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Mohammad Shahriar
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Miao Ling Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - James C Engert
- Department of Medicine, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Hertzel C Gerstein
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - K Radha Mani
- Genomic Research on Complex diseases, CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Marijana Vujkovic
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Ananda R Wickremasinghe
- Department of Public Health, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Salim Yusuf
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Habibul Ahsan
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Dwaipayan Bharadwaj
- Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi, 110020, India
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Donald W Bowden
- Department of Medicine, Mayo Hospital, Lahore, Pakistan
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 37215, USA
| | - Giriraj R Chandak
- Genomic Research on Complex diseases, CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
- JSS Academy of Health Education of Research, Mysuru, India
- Science and Engineering Research Board, Department of Science and Technology, Ministry of Science and technology, Government of India, New Delhi, India
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Anubha Mahajan
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hosptial, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, UK
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UB1 3HW, UK.
- Imperial College Healthcare NHS Trust, Imperial College London, London, W12 0HS, UK.
- MRC-PHE Centre for Enviroment and Health, Imperial College London, London, W2 1PG, UK.
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK.
| | - Danish Saleheen
- Center for Non-Communicable Diseases, Karachi, Pakistan.
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, 10032, USA.
- Department of Cardiology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK.
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UB1 3HW, UK.
- Imperial College Healthcare NHS Trust, Imperial College London, London, W12 0HS, UK.
- MRC-PHE Centre for Enviroment and Health, Imperial College London, London, W2 1PG, UK.
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10
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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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11
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Sheemar A, Soni D, Takkar B, Basu S, Venkatesh P. Inflammatory mediators in diabetic retinopathy: Deriving clinicopathological correlations for potential targeted therapy. Indian J Ophthalmol 2021; 69:3035-3049. [PMID: 34708739 PMCID: PMC8725076 DOI: 10.4103/ijo.ijo_1326_21] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 08/10/2021] [Accepted: 09/27/2021] [Indexed: 11/22/2022] Open
Abstract
The role of inflammation in diabetic retinopathy (DR) is well-established and dysregulation of a large number of inflammatory mediators is known. These include cytokines, chemokines, growth factors, mediators of proteogenesis, and pro-apoptotic molecules. This para-inflammation as a response is not directed to a particular pathogen or antigen but is rather directed toward the by-products of the diabetic milieu. The inflammatory mediators take part in cascades that result in cellular level responses like neurodegeneration, pericyte loss, leakage, capillary drop out, neovascularization, etc. There are multiple overlaps between the inflammatory pathways occurring within the diabetic retina due to a large number of mediators, their varied sources, and cross-interactions. This makes understanding the role of inflammation in clinical manifestations of DR difficult. Currently, mediator-based therapy for DR is being evaluated for interventions that target a specific step of the inflammatory cascade. We reviewed the role of inflammation in DR and derived a simplified clinicopathological correlation between the sources and stimuli of inflammation, the inflammatory mediators and pathways, and the clinical manifestations of DR. By doing so, we deliberate mediator-specific therapy for DR. The cross-interactions between inflammatory mediators and the molecular cycles influencing the inflammatory cascades are crucial challenges to such an approach. Future research should be directed to assess the feasibility of the pathology-based therapy for DR.
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Affiliation(s)
- Abhishek Sheemar
- Department of Ophthalmology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Deepak Soni
- Department of Ophthalmology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Brijesh Takkar
- Smt. Kanuri Santhamma Center for Vitreoretinal Diseases, L V Prasad Eye Institute, Hyderabad, India
- Indian Health Outcomes, Public Health and Economics Research (IHOPE) Centre, L V Prasad Eye Institute, Hyderabad, India
| | - Soumyava Basu
- Uveitis Service, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Pradeep Venkatesh
- Dr.R.P.Centre for Ophthalmic Sciences, All India Institute of Medical Science, New Delhi, India
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12
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Niu Y, Zhang W, Shi J, Liu Y, Zhang H, Lin N, Li X, Qin L, Yang Z, Su Q. The Relationship Between Circulating Growth Differentiation Factor 15 Levels and Diabetic Retinopathy in Patients With Type 2 Diabetes. Front Endocrinol (Lausanne) 2021; 12:627395. [PMID: 33790859 PMCID: PMC8005561 DOI: 10.3389/fendo.2021.627395] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 02/25/2021] [Indexed: 12/22/2022] Open
Abstract
Objective Growth differentiation factor 15 (GDF-15) is a member of the TGF-β superfamily that has anti-inflammatory properties. The objective of this study was to evaluate the relationship between circulating GDF-15 levels and diabetic retinopathy (DR) in patients with type 2 diabetes. Materials/Methods A case-control study was performed in which 402 patients with type 2 diabetes were enrolled. Of these, 171 patients had DR and the remaining 231 patients without DR acted as controls. The plasma GDF-15 levels were measured using ELISA, while DR was diagnosed using the canon ophthalmic digital imaging system and the Canon EOS 10D digital camera (Canon, Tokyo, Japan) through a non-pharmacologically dilated pupil. Results The levels of GDF-15 were significantly higher in patients with DR [168.9 (112.9-228.3) pg/ml vs. 127.8 (96.1-202.8) pg/ml, P < 0.001] compared to controls. Results of the Spearman correlation analysis showed that the GDF-15 levels were positively associated with the duration of diabetes morbidity, fasting plasma glucose, systolic blood pressure, albumin/creatinine ratio, creatinine, and liver enzymes, but negatively associated with eGFR (both P < 0.001). The participants in the highest GDF-15 quartile had a significantly increased risk for DR (OR = 2.15, 95% CI 1.53-3.02) after adjusting for potential cofounders. Conclusions The circulating GDF-15 levels are positively associated with DR independent of potential cofounders.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Zhen Yang
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qing Su
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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13
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Chang LH, Hwu CM, Lin YC, Huang CC, Won JGS, Chen HS, Lin LY. Soluble Tumor Necrosis Factor Receptor Type 1 Levels Exhibit A Stronger Association With Renal Outcomes Than Traditional Risk Factors in Chinese Subjects With Type 2 Diabetes Mellitus. Endocr Pract 2020; 26:1115-1124. [PMID: 33471713 DOI: 10.4158/ep-2020-0114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/18/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Associations between albuminuria and renal outcomes are inconsistent in patients with type 2 diabetes (T2D). Soluble tumor necrosis factor receptor type 1 (sTNFR1) is involved in declined kidney function and poor renal outcomes but this has not been confirmed among Chinese T2D patients. This study aimed to examine the association of sTNFR1 and renal outcomes in a cohort of these patients. METHODS Two hundred and eighty-three Chinese T2D patients were enrolled in a prospective observational study which excluded individuals with estimated glomerular filtration rates (eGFR) <30 mL/min/1.73m2. Composite renal outcomes included either or both a >30% decline in eGFR and worsening albuminuria from consecutive tests of blood/urine during a 3.5-year follow-up. RESULTS Higher sTNFR1 levels were associated with impaired renal outcomes. sTNFR1 levels of ≥979 pg/mL yielded the most sensitivity and specific predictions of renal outcomes according to the receiver operating curve (area under the curve 0.68, P<.001; sensitivity 78.3%, specificity 48.9%). Renal events occurred more frequently in subjects with sTNFR1 ≥979 pg/mL than in others (sTNFR1 <979 pg/mL; 29% versus 10%; P<.001 by log-rank test). The association between sTNFR1 ≥979 pg/mL and renal outcomes remained significant after adjustment for relevant covariates (adjusted hazard ratio 2.43, 95% confidence interval 1.18 to 5.02; P = .01) and consistent across subgroups stratified by age, sex, blood pressure, eGFR, albuminuria, and the use of renin-angiotensin system inhibitors. CONCLUSION Increased sTNFR1 levels were associated with renal outcomes in Chinese T2D subjects, making sTNFR1 a potential biomarker in diabetic kidney disease.
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Affiliation(s)
- Li-Hsin Chang
- From the Division of Endocrinology and Metabolism, Department of Medicine, Yeezen General Hospital, Taoyuan, Taiwan; the Department of Nursing, Hsin Sheng Junior College of Medical Care and Management, Taoyuan, Taiwan
| | - Chii-Min Hwu
- the Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; the Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yi-Chun Lin
- the Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; the Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chin-Chou Huang
- the Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; the Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan; the Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Justin G S Won
- the Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; the Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Harn-Shen Chen
- the Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; the Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Liang-Yu Lin
- the Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; the Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.
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14
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Total Protein Concentration and Tumor Necrosis Factor α in Tears of Nonproliferative Diabetic Retinopathy. Optom Vis Sci 2020; 96:934-939. [PMID: 31834153 DOI: 10.1097/opx.0000000000001456] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
SIGNIFICANCE Total protein concentration (TPC) and tumor necrosis factor α (TNF-α) concentration in tears are correlated with severity of retinopathy. However, minimal data are available in the literature for investigating tear TPC and TNF-α concentrations in Asian individuals with different severity of nonproliferative diabetic retinopathy (NPDR). PURPOSE This study evaluated differences of TPC and TNF-α concentrations in tears at different severity of NPDR among participants with diabetes in comparison with normal participants. METHODS A total of 75 participants were categorized based on Early Treatment for Diabetic Retinopathy Study scale, with 15 participants representing each group, namely, normal, diabetes without retinopathy, mild NPDR, moderate NPDR, and severe NPDR. All participants were screened using McMonnies questionnaire. Refraction was conducted subjectively. Visual acuity was measured using a LogMAR chart. Twenty-five microliters of basal tears was collected using glass capillary tubes. Total protein concentration and TNF-α concentrations were determined using Bradford assay and enzyme-linked immunosorbent assay, respectively. RESULTS Mean ± SD age of participants (n = 75) was 57.88 ± 4.71 years, and participants scored equally in McMonnies questionnaire (P = .90). Mean visual acuity was significantly different in severe NPDR (P = .003). Mean tear TPC was significantly lower, and mean tear TNF-α concentration was significantly higher in moderate and severe NPDR (P < .001). Mean ± SD tear TPC and TNF-α concentrations for normal were 7.10 ± 1.53 and 1.39 ± 0.24 pg/mL; for diabetes without retinopathy, 6.37 ± 1.65 and 1.53 ± 0.27 pg/mL; for mild NPDR, 6.32 ± 2.05 and 1.60 ± 0.21 pg/mL; for moderate NPDR, 3.88 ± 1.38 and 1.99 ± 0.05 pg/mL; and for severe NPDR, 3.64 ± 1.26 and 2.21 ± 0.04 pg/mL, respectively. Tear TPC and TNF-α concentrations were significantly correlated (r = -0.50, P < .0001). Visual acuity was significantly correlated with tear TPC (r = -0.236, P = .04) and TNF-α concentrations (r = 0.432, P < .0001). CONCLUSIONS This cross-sectional study identified differences in tear TPC and TNF-α concentrations with increasing severity of NPDR.
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15
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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: 41] [Impact Index Per Article: 8.2] [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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16
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Shafabakhsh R, Aghadavod E, Mobini M, Heidari-Soureshjani R, Asemi Z. Association between microRNAs expression and signaling pathways of inflammatory markers in diabetic retinopathy. J Cell Physiol 2018; 234:7781-7787. [PMID: 30478931 DOI: 10.1002/jcp.27685] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 10/05/2018] [Accepted: 10/09/2018] [Indexed: 12/17/2022]
Abstract
Diabetic retinopathy is one of the common and serious microvascular complications of diabetes mellitus, as hyperglycemia has metabolic effects on the retina. Hyperglycemia induces increased oxidative stress, which stimulates inflammation pathways and promotes vascular dysfunction of the retina that leads to increased capillary permeability and vascular leakage. One of the main factors involving diabetic retinopathy is the inflammation signaling pathways. In contemporary times, microRNAs (miRNAs) are identified as functional biomarkers for early detection and treatment of numerous diseases specifically diabetic retinopathy. MiRNAs can modulate gene expression through regulation of transcriptional and posttranscriptional of target genes. With that, miRNAs can regulate almost every cellular and developmental process, including the regulation of instinct immune responses and inflammation. The aim of this study is to investigate the role of miRNAs in inflammation pathways and the pathogenesis of diabetic retinopathy.
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Affiliation(s)
- Rana Shafabakhsh
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Esmat Aghadavod
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Moein Mobini
- Department of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | | | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
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17
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Angiopoietin-like 3 Is a Potential Biomarker for Retinopathy in Type 2 Diabetic Patients. Am J Ophthalmol 2018; 191:34-41. [PMID: 29621508 DOI: 10.1016/j.ajo.2018.03.040] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 03/24/2018] [Accepted: 03/25/2018] [Indexed: 02/02/2023]
Abstract
PURPOSE To investigate whether angiopoietin-like 3 (ANGPTL3) and angiopoietin-like 4 (ANGPTL4) are differentially associated with the severity of retinopathy in patients with type 2 diabetes mellitus (T2DM). DESIGN Cross-sectional study. METHODS Serum levels of ANGPTL3, ANGPTL4, high-sensitivity C-reactive protein (CRP), vascular adhesion molecule-1 (VCAM-1), intracellular adhesion molecule-1 (ICAM-1), and vascular endothelial growth factor (VEGF) were quantified by ELISA. Retinal images were recorded to assess the grade of diabetic retinopathy (DR). Multivariable-adjusted logistic analysis was performed to estimate the association of each biomarker and DR stage. RESULTS Among 1192 T2DM patients, 426 (35.7%) had nonproliferative diabetic retinopathy (NPDR) and 56 (4.5%) had proliferative diabetic retinopathy (PDR). After adjusting for covariables, the odds ratios expressing the risk of having DR vs no DR (n = 710 vs 482) were 1.23 (95% confidence interval [CI], 1.08-1.40, P = .002) for ANGPTL3; 0.90 (95% CI, 0.79-1.02; P = .095) for ANGPTL4; and 1.14 (95% CI, 1.00-1.29; P = .044) for VEGF. The risk of having no DR vs NPDR (n = 710 vs 426) was 1.16 (95% CI, 1.01-1.32; P = .036) for ANGPTL3; 0.90 (95% CI, 0.79-1.04; P = .15) for ANGPTL4; and 1.14 (95% CI, 1.00-1.31; P = .045) for VEGF. The odds ratios of having NPDR vs PDR (n = 426 vs 56) was 1.47 (95% CI, 1.03-2.10; P = .035) for serum ANGPTL3; 0.96 (95% CI, 0.69-1.35; P = .83) for ANGPTL4; and 1.05 (95% CI, 0.77-1.45; P = .74) for VEGF. CONCLUSIONS ANGPTL3 is independently and strongly associated with DR progression in all stages. Blockade of ANGPTL3 signal in retina might postpone the onset and development of DR in T2DM patients.
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18
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Yao Y, Li R, Du J, Li X, Zhao L, Long L, Li D, Lu S. Tumor necrosis factor-α and diabetic retinopathy: Review and meta-analysis. Clin Chim Acta 2018; 485:210-217. [PMID: 29959897 DOI: 10.1016/j.cca.2018.06.028] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 06/16/2018] [Accepted: 06/21/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Tumor necrosis factor-alpha (TNF-α) is produced by multinuclear giant cells and acts as local intensification signals in pathological processes associated with chronic eye inflammation. This meta-analysis was performed to provide a better understanding of the relationship between TNF-α and diabetic retinopathy (DR). METHOD Online electric databases were searched to retrieve all relevant articles published before October 2017. The standard mean difference (SMD) and their 95% confidence intervals (CI) were included and then pooled with a random effects model. RESULTS A total of 16 articles with 1286 participants were included in this meta-analysis. No difference in the level of TNF-α was found between DR patients and healthy controls (SMD = 0.39, 95% CI = -0.09 to 0.68, P = 0.01). Subgroup analysis showed that with respect to the level of TNF-α, the association was significant for studies conducted in Europe (SMD: 0.57, 95% CI: 0.11-1.02, P = 0.01), patients with type 1 DM (SMD: 1.06, 95% CI: 0.09-2.04, P = 0.03), studies based on serum samples (SMD: 0.57, 95% CI: 0.12-1.02, P = 0.01) and studies with a sample size >50 (SMD: 0.39, 95% CI: 0.03-0.75, P = 0.04). CONCLUSION The results this meta-analysis indicated that the level of TNF-α in DR patients was significantly different from that in the healthy controls, so TNF-α represents a candidate biomarker for DR.
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Affiliation(s)
- Yang Yao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Science, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Xi'an, Shaanxi 710061, PR China
| | - Rong Li
- Department of Ophthalmology, The First Affiliated Hospital, Xi'an Medical University, Xi'an, Shaanxi 710077, PR China
| | - Junhui Du
- Department of Ophthalmology, Xi'an Ninth Hospital, Medical College of Xi'an Jiaotong University, Xi'an, Shanxi 710054, China
| | - Xiangnan Li
- Clinical Medicine (Four-year program) of Grade 2014, Xi'an Medical University, Xi'an 710021, PR China
| | - Lei Zhao
- Department of Molecular Physiology and Biophysics, Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Lihui Long
- Department of pharmacy, The First Affiliated Hospital, Xi'an Medical University, Xi'an, Shaanxi 710077, PR China
| | - Dongmin Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Science, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Xi'an, Shaanxi 710061, PR China.
| | - Shemin Lu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Science, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Xi'an, Shaanxi 710061, PR China.
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19
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Sobrin L, Chong YH, Fan Q, Gan A, Stanwyck LK, Kaidonis G, Craig JE, Kim J, Liao WL, Huang YC, Lee WJ, Hung YJ, Guo X, Hai Y, Ipp E, Pollack S, Hancock H, Price A, Penman A, Mitchell P, Liew G, Smith AV, Gudnason V, Tan G, Klein BEK, Kuo J, Li X, Christiansen MW, Psaty BM, Sandow K, Jensen RA, Klein R, Cotch MF, Wang JJ, Jia Y, Chen CJ, Chen YDI, Rotter JI, Tsai FJ, Hanis CL, Burdon KP, Wong TY, Cheng CY. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study. Diabetes 2017; 66:3130-3141. [PMID: 28951389 PMCID: PMC5697951 DOI: 10.2337/db17-0398] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 09/22/2017] [Indexed: 11/17/2022]
Abstract
Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.
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Affiliation(s)
- Lucia Sobrin
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear, Boston, MA
| | - Yong He Chong
- Duke-NUS Medical School, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Qiao Fan
- Duke-NUS Medical School, National University of Singapore, Singapore
| | - Alfred Gan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Lynn K Stanwyck
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear, Boston, MA
| | - Georgia Kaidonis
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Jihye Kim
- Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX
| | - Wen-Ling Liao
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
- Center for Personalized Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Yu-Chuen Huang
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
- Genetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yi-Jen Hung
- Department of Internal Medicine, Tri-Service General Hospital, Taipei City, Taiwan
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Eli Ipp
- Department of Medicine, LA BioMed, Harbor-UCLA Medical Center, Torrance, CA
| | - Samuela Pollack
- Department of Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Heather Hancock
- Department of Ophthalmology, The University of Mississippi Medical Center, Jackson, MS
| | - Alkes Price
- Department of Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Alan Penman
- Department of Medicine, The University of Mississippi Medical Center, Jackson, MS
| | - Paul Mitchell
- Centre for Vision Research, The Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Gerald Liew
- Centre for Vision Research, The Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Albert V Smith
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Icelandic Heart Association, Kópavogur, Iceland
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Icelandic Heart Association, Kópavogur, Iceland
| | - Gavin Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Barbara E K Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI
| | - Jane Kuo
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
- Clinical and Medical Affairs, CardioDx, Inc., Redwood City, CA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Mark W Christiansen
- Cardiovascular Health Research Unit, Division of General Internal Medicine, University of Washington, Seattle, WA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Division of General Internal Medicine, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Kevin Sandow
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Division of General Internal Medicine, University of Washington, Seattle, WA
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI
| | - 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, National University of Singapore, Singapore
- Centre for Vision Research, The Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Yucheng Jia
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Ching J Chen
- Department of Ophthalmology, The University of Mississippi Medical Center, Jackson, MS
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, LA BioMed, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Fuu-Jen Tsai
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
- Departments of Medical Genetics, Pediatrics, and Medical Research, China Medical University Hospital, Tiachung, Tiawan
| | - Craig L Hanis
- Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Tien Yin Wong
- Duke-NUS Medical School, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ching-Yu Cheng
- Duke-NUS Medical School, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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20
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Gómez-Banoy N, Cuevas V, Higuita A, Aranzález LH, Mockus I. Soluble tumor necrosis factor receptor 1 is associated with diminished estimated glomerular filtration rate in colombian patients with type 2 diabetes. J Diabetes Complications 2016; 30:852-7. [PMID: 27068267 DOI: 10.1016/j.jdiacomp.2016.03.015] [Citation(s) in RCA: 9] [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: 12/07/2015] [Revised: 02/05/2016] [Accepted: 03/13/2016] [Indexed: 01/10/2023]
Abstract
AIMS The tumor necrosis factor α (TNF-α) family of inflammatory molecules plays a crucial role in the pathogenesis of type 2 diabetes mellitus (DM2) complications. TNF-α soluble receptors 1 (sTNFR1) and 2 (sTNFR2) have been associated with chronic kidney disease in DM2 patients. This cross-sectional study intended to determine serum concentrations of sTNFR1 and sTNFR2 in Colombian patients and correlated them with various clinical variables, especially kidney function. METHODS 92 Colombian patients with DM2 were recruited. Anthropometric variables, glycemic control parameters, lipid profile and renal function were assessed for each patient. Levels of sTNFR1 and sTNFR2 were determined using ELISA. Patients were stratified in two groups according to reduced estimated glomerular filtration rate (eGFR) (<60ml/min/1.73m(2)) and normal eGFR (≥60ml/min/1.73m(2)). RESULTS Significantly elevated levels of sTNFR1 and sTNFR2 were observed in the diminished versus normal eGFR group. Also, significant differences were noticed between both groups in haemoglobin A1c (HbA1c) values, percentage of hypertensive subjects treated with angiotensin receptor blocker (ARB) and subjects treated with metformin. No differences were observed regarding body mass index (BMI), albuminuria and lipid profile. Multivariable linear regression analysis revealed that sTNFR1 alone showed a significant association with low eGFR (p=0.009). However, after adjusting for age, the association weakens. Moreover, sTNFR1 and sTNFR2 showed a linear negative correlation with eGFR (r=-0.448, p<0.001 and r=-0.376, p<0.001, respectively). A positive correlation was also seen between sTNFR1 and HbA1c, whereas a negative correlation between both sTNFRs and high-density lipoprotein (HDL) cholesterol was found. CONCLUSION Elevated levels of sTNFRs, especially sTNFR1, are associated with loss of kidney function in Hispanic patients with DM2. Future studies should focus on social and genetic determinants of inflammation and their association with CKD in this ethnicity.
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MESH Headings
- Aged
- Biomarkers/blood
- Colombia/epidemiology
- Cross-Sectional Studies
- Diabetes Mellitus, Type 2/complications
- Diabetic Nephropathies/blood
- Diabetic Nephropathies/epidemiology
- Diabetic Nephropathies/physiopathology
- Female
- Glomerular Filtration Rate
- Glycated Hemoglobin/analysis
- Hospitals, University
- Humans
- Kidney/physiopathology
- Kidney Failure, Chronic/blood
- Kidney Failure, Chronic/complications
- Kidney Failure, Chronic/epidemiology
- Kidney Failure, Chronic/physiopathology
- Male
- Middle Aged
- Receptors, Tumor Necrosis Factor, Type I/blood
- Receptors, Tumor Necrosis Factor, Type I/chemistry
- Receptors, Tumor Necrosis Factor, Type II/blood
- Receptors, Tumor Necrosis Factor, Type II/chemistry
- Renal Insufficiency/blood
- Renal Insufficiency/complications
- Renal Insufficiency/epidemiology
- Renal Insufficiency/physiopathology
- Risk Factors
- Severity of Illness Index
- Solubility
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Affiliation(s)
- Nicolás Gómez-Banoy
- Lipids and Diabetes Laboratory, Department of Physiological Sciences, Faculty of Medicine, National University of Colombia, Bogotá, Colombia.
| | - Virginia Cuevas
- Lipids and Diabetes Laboratory, Department of Physiological Sciences, Faculty of Medicine, National University of Colombia, Bogotá, Colombia
| | - Andrea Higuita
- Lipids and Diabetes Laboratory, Department of Physiological Sciences, Faculty of Medicine, National University of Colombia, Bogotá, Colombia
| | - Luz Helena Aranzález
- Lipids and Diabetes Laboratory, Department of Physiological Sciences, Faculty of Medicine, National University of Colombia, Bogotá, Colombia
| | - Ismena Mockus
- Lipids and Diabetes Laboratory, Department of Physiological Sciences, Faculty of Medicine, National University of Colombia, Bogotá, Colombia
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Ogunyemi O, Kermah D. Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2015; 2015:983-90. [PMID: 26958235 PMCID: PMC4765709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
INTRODUCTION Annual eye examinations are recommended for diabetic patients in order to detect diabetic retinopathy and other eye conditions that arise from diabetes. Medically underserved urban communities in the US have annual screening rates that are much lower than the national average and could benefit from informatics approaches to identify unscreened patients most at risk of developing retinopathy. METHODS Using clinical data from urban safety net clinics as well as public health data from the CDC's National Health and Nutrition Examination Survey, we examined different machine learning approaches for predicting retinopathy from clinical or public health data. All datasets utilized exhibited a class imbalance. RESULTS Classifiers learned on the clinical data were modestly predictive of retinopathy with the best model having an AUC of 0.72, sensitivity of 69.2% and specificity of 55.9%. Classifiers learned on public health data were not predictive of retinopathy. DISCUSSION Successful approaches to detecting latent retinopathy using machine learning could help safety net and other clinics identify unscreened patients who are most at risk of developing retinopathy and the use of ensemble classifiers on clinical data shows promise for this purpose.
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Affiliation(s)
- Omolola Ogunyemi
- Center for Biomedical Informatics, Los Angeles, California; Charles Drew University of Medicine and Science, Los Angeles, California; University of California Los Angeles, Los Angeles, California
| | - Dulcie Kermah
- Biostatistics Core, Los Angeles, California; Charles Drew University of Medicine and Science, Los Angeles, California
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22
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Kuo JZ, Guo X, Klein R, Klein BE, Genter P, Roll K, Hai Y, Goodarzi MO, Rotter JI, Chen YDI, Ipp E. Adiponectin, Insulin Sensitivity and Diabetic Retinopathy in Latinos With Type 2 Diabetes. J Clin Endocrinol Metab 2015; 100:3348-55. [PMID: 26020763 PMCID: PMC4570164 DOI: 10.1210/jc.2015-1221] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT AND OBJECTIVE Insulin resistance and chronic inflammation are key elements in the pathogenesis of type 2 diabetes. We hypothesized that similar mechanisms could have a role in the development of diabetic retinopathy (DR), an important microvascular complication in Latinos with type 2 diabetes. DESIGN AND SETTING A cross-sectional, family-based, observational cohort study. PATIENTS Latino subjects with type 2 diabetes (n = 507), ascertained in families via a proband with known diabetes duration of 10 years or more and/or with DR, were included. MAIN OUTCOME MEASURES Serum adiponectin was measured and insulin sensitivity was estimated using homeostasis model assessment of insulin resistance (HOMA-IR). DR was assessed by seven-field digital fundus photography and graded using the modified Airlie House classification and the Early Treatment Diabetic Retinopathy Scale (range of severity levels, 10-85). RESULTS Fasting adiponectin concentrations were elevated in patients with DR compared to those without (12.9 ± 0.5 vs 10.5 ± 0.5 μg/mL; P = .0004) and remained significant after adjusting for multiple covariates (age, gender, body mass index, glycosylated hemoglobin, diabetes duration, statin use, blood pressure, and renal function; P = .013 to .018). Adiponectin was also positively correlated with severity of DR in patients with nonproliferative DR (P < .0003), significant also after all covariate adjustments (P = .018). When the proliferative DR group was included, this relationship was attenuated by adjustments, possibly an influence of estimated glomerular filtration rate reduction in the proliferative DR group. HOMA-IR was not different in the DR and non-DR groups. Although elevated, adiponectin retained a typical inverse relationship with HOMA-IR in DR, similar to that seen in the non-DR group. CONCLUSIONS Serum adiponectin is elevated in DR, is positively correlated with DR severity in Latinos with type 2 diabetes, and maintains a relationship to insulin sensitivity. Adiponectin, whether as a marker or biological mediator, may play an important role in DR, which appears to be independent of its relationship to insulin sensitivity.
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Affiliation(s)
- Jane Z Kuo
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Xiuqing Guo
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Ronald Klein
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Barbara E Klein
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Pauline Genter
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Kathryn Roll
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Yang Hai
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Mark O Goodarzi
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Jerome I Rotter
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Yii-Der Ida Chen
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Eli Ipp
- Department of Ophthalmology (J.Z.K.), Shiley Eye Center, UC San Diego, La Jolla, California 92093; Pathway Genomics Corporation (J.Z.K.), San Diego, California 92121; Institute for Translational Genomics and Population Sciences (X.G., K.R., Y.H., J.I.R., Y.-D.I.C.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Department of Ophthalmology and Visual Sciences (R.K., B.E.K.), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726; Section of Diabetes and Metabolism (P.G., E.I.), Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California 90502; Division of Endocrinology, Diabetes, and Metabolism (M.O.G.), Cedars-Sinai Medical Center, Los Angeles, California 90048
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Jenkins AJ, Joglekar MV, Hardikar AA, Keech AC, O'Neal DN, Januszewski AS. Biomarkers in Diabetic Retinopathy. Rev Diabet Stud 2015; 12:159-95. [PMID: 26676667 DOI: 10.1900/rds.2015.12.159] [Citation(s) in RCA: 178] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
There is a global diabetes epidemic correlating with an increase in obesity. This coincidence may lead to a rise in the prevalence of type 2 diabetes. There is also an as yet unexplained increase in the incidence of type 1 diabetes, which is not related to adiposity. Whilst improved diabetes care has substantially improved diabetes outcomes, the disease remains a common cause of working age adult-onset blindness. Diabetic retinopathy is the most frequently occurring complication of diabetes; it is greatly feared by many diabetes patients. There are multiple risk factors and markers for the onset and progression of diabetic retinopathy, yet residual risk remains. Screening for diabetic retinopathy is recommended to facilitate early detection and treatment. Common biomarkers of diabetic retinopathy and its risk in clinical practice today relate to the visualization of the retinal vasculature and measures of glycemia, lipids, blood pressure, body weight, smoking, and pregnancy status. Greater knowledge of novel biomarkers and mediators of diabetic retinopathy, such as those related to inflammation and angiogenesis, has contributed to the development of additional therapeutics, in particular for late-stage retinopathy, including intra-ocular corticosteroids and intravitreal vascular endothelial growth factor inhibitors ('anti-VEGFs') agents. Unfortunately, in spite of a range of treatments (including laser photocoagulation, intraocular steroids, and anti-VEGF agents, and more recently oral fenofibrate, a PPAR-alpha agonist lipid-lowering drug), many patients with diabetic retinopathy do not respond well to current therapeutics. Therefore, more effective treatments for diabetic retinopathy are necessary. New analytical techniques, in particular those related to molecular markers, are accelerating progress in diabetic retinopathy research. Given the increasing incidence and prevalence of diabetes, and the limited capacity of healthcare systems to screen and treat diabetic retinopathy, there is need to reliably identify and triage people with diabetes. Biomarkers may facilitate a better understanding of diabetic retinopathy, and contribute to the development of novel treatments and new clinical strategies to prevent vision loss in people with diabetes. This article reviews key aspects related to biomarker research, and focuses on some specific biomarkers relevant to diabetic retinopathy.
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Affiliation(s)
- Alicia J Jenkins
- NHMRC Clinical Trials Centre, University of Sydney, Camperdown, Sydney, Australia
| | - Mugdha V Joglekar
- NHMRC Clinical Trials Centre, University of Sydney, Camperdown, Sydney, Australia
| | | | - Anthony C Keech
- NHMRC Clinical Trials Centre, University of Sydney, Camperdown, Sydney, Australia
| | - David N O'Neal
- NHMRC Clinical Trials Centre, University of Sydney, Camperdown, Sydney, Australia
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Rajab HA, Baker NL, Hunt KJ, Klein R, Cleary PA, Lachin J, Virella G, Lopes-Virella MF. The predictive role of markers of Inflammation and endothelial dysfunction on the course of diabetic retinopathy in type 1 diabetes. J Diabetes Complications 2015; 29:108-14. [PMID: 25441222 PMCID: PMC4426877 DOI: 10.1016/j.jdiacomp.2014.08.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Revised: 07/22/2014] [Accepted: 08/12/2014] [Indexed: 01/29/2023]
Abstract
AIMS This study was undertaken to determine whether levels of inflammation and endothelial dysfunction biomarkers in serum samples collected at baseline in the Diabetes Control and Complications Trial (DCCT) cohort could predict the development of retinopathy. METHODS Levels of clotting/fibrinolysis, inflammation and endothelial dysfunction biomarkers were measured in 1391 subjects with type 1 diabetes to determine whether their levels predicted increased risk to develop or accelerate progression of retinopathy during 16years of follow-up. RESULTS Using regression models adjusted for DCCT treatment group, duration of diabetes, baseline retinopathy scores, HbA1c and albumin excretion rate, the baseline levels of sE-selectin and PAI-1 (active) were significantly associated with increased risk of a 3-step progression in retinopathy score in the primary prevention cohort (PPC). After adjusting for additional covariates (e.g., ACE/ARB and statin therapy), this association persisted. Levels of active and total PAI-1 in the same group were also significantly associated, after similar adjustments, with the time to progress to severe non-proliferative retinopathy during the follow-up period (54 and 29%, respectively of increased risk). No associations were observed in the secondary intervention cohort for any of the outcomes. CONCLUSIONS High levels of sE-selectin and PAI-1 are associated with the development of retinopathy in patients with uncomplicated type 1 diabetes.
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Affiliation(s)
- Hussein A Rajab
- Department of Medicine, Division of Endocrinology, Diabetes and Medical Genetics, Medical University of South Carolina, Charleston, SC, USA
| | - Nathaniel L Baker
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Kelly J Hunt
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Richard Klein
- Department of Medicine, Division of Endocrinology, Diabetes and Medical Genetics, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Patricia A Cleary
- The Biostatistics Center, George Washington University, Washington DC, Washington DC, USA
| | - John Lachin
- The Biostatistics Center, George Washington University, Washington DC, Washington DC, USA
| | - Gabriel Virella
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, USA
| | - Maria F Lopes-Virella
- Department of Medicine, Division of Endocrinology, Diabetes and Medical Genetics, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA.
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Hang H, Yuan S, Yang Q, Yuan D, Liu Q. Multiplex bead array assay of plasma cytokines in type 2 diabetes mellitus with diabetic retinopathy. Mol Vis 2014; 20:1137-45. [PMID: 25253986 PMCID: PMC4124102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Accepted: 08/01/2014] [Indexed: 11/16/2022] Open
Abstract
PURPOSE The aim of this study was to assess the roles of plasma cytokines in diabetic retinopathy (DR) and their relationship with the severity of DR. METHODS This study included 59 diabetic patients and 19 non-diabetic controls. The plasma concentrations of endothelial growth factor (EGF), eotaxin, fibroblast growth factor 2 (FGF-2), Flt-3 ligand (Flt-3L), fractalkine, granulocyte colony-stimulating factor (G-CSF), granulocyte-macrophage colony-stimulating factor (GM-CSF), growth-related oncogene (GRO), interferon (IFN)-α2, IFN-γ, interleukin (IL)-1α, IL-1β, IL-1Ra, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17, IFN-inducible protein-10 (IP-10), monocyte chemoattractant protein (MCP)-1, MCP-3, macrophage-derived cytokine (MDC), macrophage inflammatory protein (MIP)-1α, MIP-1β, sCD40L, sIL-2Rα, transforming growth factor (TGF)-α, tumor necrosis factor (TNF)- α, TNF-β, and VEGF were measured with Luminex multiplex bead immunoassay. The levels of these cytokines were investigated according to the DR stage. RESULTS The plasma level of ten cytokines-MCP-1, IL-6, IL-7, IL-9, IL-13, IL-15, IL-17, sCD40L, sIL-2Rα and TNF-β-increased significantly in the diabetic group compared to the controls. The Flt-3L, IL-1Ra, IL-3, IL-5, and IL-12 (p40) levels were lower in the diabetic group than in the control group. The TNF-α plasma level was significantly elevated in patients with proliferative diabetic retinopathy (PDR) compared with the levels in patients with non-proliferative diabetic retinopathy (NPDR) and patients with no apparent diabetic retinopathy (NDR). CONCLUSIONS TNF-α might be involved in the progression of DR, especially in the pathogenesis of PDR. TNF-α is a potential cytokine for the prognosis of DR and might act as a therapeutic target in DR.
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Kuo JZ, Wong TY, Rotter JI. Challenges in elucidating the genetics of diabetic retinopathy. JAMA Ophthalmol 2014; 132:96-107. [PMID: 24201651 DOI: 10.1001/jamaophthalmol.2013.5024] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
IMPORTANCE In the past decade, significant progress in genomic medicine and technologic developments has revolutionized our approach to common complex disorders in many areas of medicine, including ophthalmology. A disorder that still needs major genetic progress is diabetic retinopathy (DR), one of the leading causes of blindness in adults. OBJECTIVE To perform a literature review, present the current findings, and highlight some key challenges in DR genetics. DESIGN, SETTING, AND PARTICIPANTS We performed a thorough literature review of the genetic factors for DR, including heritability scores, twin studies, family studies, candidate gene studies, linkage studies, and genome-wide association studies (GWASs). MAIN OUTCOME MEASURES Environmental and genetic factors for DR. RESULTS Although there is clear demonstration of a genetic contribution in the development and progression of DR, the identification of susceptibility loci through candidate gene approaches, linkage studies, and GWASs is still in its infancy. The greatest obstacles remain a lack of power because of small sample size of available studies and a lack of phenotype standardization. CONCLUSIONS AND RELEVANCE The field of DR genetics is still in its infancy and is a challenge because of the complexity of the disease. This review outlines some strategies and lessons for future investigation to improve our understanding of this complex genetic disorder.
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Affiliation(s)
- Jane Z Kuo
- Medical Genetics Institute and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California2Department of Ophthalmology, University of California San Diego, La Jolla3Department of Ophthalmology, Chang Gung Memorial Hospital and
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore5Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jerome I Rotter
- Medical Genetics Institute and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California6Institute for Translational Genomics and Population Sciences, Los Angeles Bio Medical Research Institute, Harbor-UCLA Medical Center, To
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Kuo JZ, Guo X, Klein R, Klein BE, Weinreb RN, Genter P, Hsiao FC, Goodarzi MO, Rotter JI, Chen YDI, Ipp E. Association of fasting insulin and C peptide with diabetic retinopathy in Latinos with type 2 diabetes. BMJ Open Diabetes Res Care 2014; 2:e000027. [PMID: 25452868 PMCID: PMC4212555 DOI: 10.1136/bmjdrc-2014-000027] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Revised: 08/12/2014] [Accepted: 08/13/2014] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE Residual insulin secretion provides important protection against the development of diabetic retinopathy in type 1 diabetes. The data to support this in type 2 diabetes are unclear. We therefore tested in type 2 diabetes whether markers of residual beta-cell function are associated with the development of diabetic retinopathy, an important microvascular complication of diabetes. DESIGN Prospective, cross-sectional, family-based study. PARTICIPANTS 585 Latino type 2 diabetic participants, ascertained in families via a proband either with known diabetes duration of greater than 10 years and/or with diabetic retinopathy. OUTCOME MEASURES CIRCULATING LEVELS OF FASTING INSULIN AND C PEPTIDE MEASURED AND CORRELATED TO DEGREE OF DIABETIC RETINOPATHY, ASSESSED BY DIGITAL FUNDUS PHOTOGRAPHY AND GRADED USING THE MODIFIED AIRLIE HOUSE CLASSIFICATION AND THE EARLY TREATMENT DIABETIC RETINOPATHY STUDY SCALE (RANGE: levels 10-85). RESULTS Fasting plasma insulin (β=-0.29; 95% CI -0.38 to -0.20; p<0.0001) and C peptide (β=-0.21; 95% CI -0.30 to -0.13; p<0.0001) concentrations in these diabetic participants were significantly correlated with retinopathy and its degree of severity. This relationship remained significant after adjusting for potential covariates including age, gender, glycosylated hemoglobin, duration of diabetes, blood pressure, and renal function. CONCLUSIONS These data suggest that residual endogenous insulin secretion is associated with the presence of diabetic retinopathy and its severity in Latinos with familial type 2 diabetes. It remains to be proven whether beta-cell targeted therapies, to maintain beta-cell mass and/or function in addition to glycemic control, will further the goal of preventing diabetic microvascular disease.
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Affiliation(s)
- Jane Z Kuo
- Shiley Eye Center and Department of Ophthalmology, University of California at San Diego, La Jolla, California, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Ronald Klein
- Department of Ophthalmology & Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Barbara E Klein
- Department of Ophthalmology & Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Robert N Weinreb
- Shiley Eye Center and Department of Ophthalmology, University of California at San Diego, La Jolla, California, USA
| | - Pauline Genter
- Division of Endocrinology and Metabolism, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Fone-Ching Hsiao
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Eli Ipp
- Division of Endocrinology and Metabolism, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, USA
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TNF-alpha levels in tears: a novel biomarker to assess the degree of diabetic retinopathy. Mediators Inflamm 2013; 2013:629529. [PMID: 24259948 PMCID: PMC3821908 DOI: 10.1155/2013/629529] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2013] [Accepted: 09/09/2013] [Indexed: 02/08/2023] Open
Abstract
We assess the level of tumour necrosis factor alpha (TNF-alpha) in tear fluids and other serum parameters associated with diabetes in different degrees of diabetic retinopathy. We have performed a prospective, nonrandomized, observational study. Study population consisted of 16 healthy subjects (controls) and 32 type 2 diabetic patients: 16 affected by proliferative diabetic retinopathy (PDR) and 16 with nonproliferative retinopathy (NDPR, background/preproliferative). Body mass index, urinary albumin, blood glucose, HbA1c, and tear levels of TNF-alpha were measured in all subjects. The value of glycaemia, microalbuminurea, and Body mass index in diabetic retinopathy groups were higher than those in control group (P < 0.05). Glycemia in NPDR: 6.6 mmol/L (range: 5.8-6.3); in PDR: 6.7 mmol/L (range: 6.1-7.2); in control: 5.7 mmol/L (range: 4.9-6.1); microalbuminurea in NPDR: 10.6 mg/L (range: 5.6-20); in PDR: 25.2 mg/L (range: 17-40); in control: 5.3 mg/L (range: 2.6-10); Body mass index in NPDR: 26 Kg/m(2) (range: 20.3-40); in PDR: 28 Kg/m(2) (range 20.3-52); in control: 21 Kg/m(2) (range 19-26). The TNF-alpha concentrations in tears increase with the severity of pathology and were lower in control group than in diabetic subjects. In the end, the level of TNF-alpha is highly correlated with severity of diabetic retinopathy and with nephropathy. Tear fluid collection may be a useful noninvasive method for the detection of proliferative diabetic retinopathy.
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29
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Jiang Y, Pagadala J, Miller D, Steinle JJ. Reduced insulin receptor signaling in retinal Müller cells cultured in high glucose. Mol Vis 2013; 19:804-11. [PMID: 23592917 PMCID: PMC3626298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Accepted: 04/03/2013] [Indexed: 11/15/2022] Open
Abstract
PURPOSE To measure key proteins involved in insulin resistance in retinal Müller cells. METHODS Cells known as retinal Müller cells were cultured in normal (5 mM) or high glucose (25 mM) to mimic a diabetic condition. Cells were treated with 50 nM Compound 49b, a novel β-adrenergic receptor agonist. Additional cells were treated with small interfering RNA (siRNA) against protein kinase A or cyclic adenosine monophosphate (cAMP) responsive element binding protein (CREB). Western blotting or enzyme-linked immunosorbent assay (ELISA) measurements were made for protein changes in TNFα, suppressor of cytokine signaling 3, insulin receptor substrate 1 (IRS-1), insulin receptor (IR), Akt, and cell death proteins (Fas, fas ligand, cytochrome C, Bax, cleaved caspase 3, and Bcl-xL). RESULTS Hyperglycemia significantly increased TNFα and suppressor of cytokine signaling 3 levels. This was associated with increased phosphorylation of IRS-1(Ser307) and IR(Tyr960), with decreased phosphorylation of IR(Tyr1150/1151) and Akt(Ser473). The reduced insulin receptor and Akt phosphorylation led to a significant increase in proapoptotic proteins. Compound 49b reversed the loss of Akt and IR(Tyr1150/1151) phosphorylation, reducing Müller cell apoptosis. CONCLUSIONS Hyperglycemia-induced TNFα levels promote insulin resistance in retinal Müller cells, noted through increased phosphorylation of IRS-1(Ser307) and IR(Tyr960). The dysfunctional insulin signaling increases apoptosis of retinal Müller cells, which is blocked through treatment with Compound 49b. Taken together, β-adrenergic receptor agonists may protect retinal Müller cells through maintenance of normal insulin receptor signaling.
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Affiliation(s)
- Youde Jiang
- Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, TN
| | - Jayaprakash Pagadala
- Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN
| | - Duane Miller
- Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN
| | - Jena J. Steinle
- Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, TN,Department of Anatomy & Neurobiology, University of Tennessee Health Science Center, Memphis, TN
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30
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Sheu WHH, Kuo JZ, Lee IT, Hung YJ, Lee WJ, Tsai HY, Wang JS, Goodarzi MO, Klein R, Klein BEK, Ipp E, Lin SY, Guo X, Hsieh CH, Taylor KD, Fu CP, Rotter JI, Chen YDI. Genome-wide association study in a Chinese population with diabetic retinopathy. Hum Mol Genet 2013; 22:3165-73. [PMID: 23562823 DOI: 10.1093/hmg/ddt161] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Diabetic retinopathy (DR) is a leading cause of preventable blindness in adults. To identify genetic contributions in DR, we studied 2071 type 2 diabetics. We first conducted a genome-wide association study of 1007 individuals, comparing 570 subjects with ≥8 years duration without DR (controls) with 437 PDR (cases) in the Chinese discovery cohort. Cases and controls were similar for HbA1c, diabetes duration and body mass index. Association analysis with imputed data identified three novel loci: TBC1D4-COMMD6-UCHL3 (rs9565164, P = 1.3 × 10(-7)), LRP2-BBS5 (rs1399634, P = 2.0 × 10(-6)) and ARL4C-SH3BP4 (rs2380261, P = 2.1 × 10(-6)). Analysis of an independent cohort of 585 Hispanics diabetics with or without DR though did not confirm these signals. These genes are still of particular interest because they are involved in insulin regulation, inflammation, lipid signaling and apoptosis pathways, all of which are possibly involved with DR. Our finding nominates possible novel loci as potential DR susceptibility genes in the Chinese that are independent of the level of HbA1c and duration of diabetes and may provide insight into the pathophysiology of DR.
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Affiliation(s)
- Wayne H-H Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
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Bailey KA, Wu MC, Ward WO, Smeester L, Rager JE, García-Vargas G, Del Razo LM, Drobná Z, Stýblo M, Fry RC. Arsenic and the epigenome: interindividual differences in arsenic metabolism related to distinct patterns of DNA methylation. J Biochem Mol Toxicol 2013; 27:106-15. [PMID: 23315758 DOI: 10.1002/jbt.21462] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2012] [Revised: 10/09/2012] [Accepted: 10/24/2012] [Indexed: 12/17/2022]
Abstract
Biotransformation of inorganic arsenic (iAs) is one of the factors that determines the character and magnitude of the diverse detrimental health effects associated with chronic iAs exposure, but it is unknown how iAs biotransformation may impact the epigenome. Here, we integrated analyses of genome-wide, gene-specific promoter DNA methylation levels of peripheral blood leukocytes with urinary arsenical concentrations of subjects from a region of Mexico with high levels of iAs in drinking water. These analyses revealed dramatic differences in DNA methylation profiles associated with concentrations of specific urinary metabolites of arsenic (As). The majority of individuals in this study had positive indicators of As-related disease, namely pre-diabetes mellitus or diabetes mellitus (DM). Methylation patterns of genes with known associations with DM were associated with urinary concentrations of specific iAs metabolites. Future studies will determine whether these DNA methylation profiles provide mechanistic insight into the development of iAs-associated disease, predict disease risk, and/or serve as biomarkers of iAs exposure in humans.
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Affiliation(s)
- Kathryn A Bailey
- Department of Environmental Sciences and Engineering, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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