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Suarez R, Villarreal C, Nahuelpán Y, Jara C, Oyarzún C, Alarcón S, Díaz-Encarnación MM, Guillén-Gómez E, Quezada C, San Martín R. Defective insulin-stimulated equilibrative nucleoside transporter-2 activity and altered subcellular transporter distribution drive the loss of adenosine homeostasis in diabetic kidney disease progression. Biochim Biophys Acta Mol Basis Dis 2024; 1870:166890. [PMID: 37734469 DOI: 10.1016/j.bbadis.2023.166890] [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: 03/27/2023] [Revised: 08/23/2023] [Accepted: 09/16/2023] [Indexed: 09/23/2023]
Abstract
AIM Progression of diabetic nephropathy (DN) is linked to the dysregulated increase of adenosine and altered signaling properties. A major contribution to the maintenance of physiological extracellular adenosine levels relies on cellular uptake activity through plasma membrane nucleoside transporters. Because kidney cells are responsive to insulin, this study aims to determine how DN affects insulin regulation of the equilibrative nucleoside transporter-2 (ENT2). METHODS Human Podocytes and rat glomeruli were used to study ENT2 regulation. The effects of diabetes and insulin on ENT2 mediated transport activity were determined measuring the fraction of total adenosine uptake in sodium-free medium which is inhibitable by hypoxanthine. Alterations in ENT2 subcellular distribution were assessed in the kidney of people affected with DN and diabetic rats. The consequences of impaired ENT2 activity on the kidney were evaluated using dipyridamole in an animal model. RESULTS Insulin upregulates ENT2 uptake activity by increasing the Vmax, thus counteracting decreased adenosine uptake due to high d-glucose and achieving extracellular adenosine homeostasis. Insulin promoted ENT2 translocation to the plasma membrane dependent on PI3-kinase/Akt signaling and actin cytoskeleton integrity. However, in diabetic rats, the insulin-mediated induction of ENT2 activity was lost. Additionally, reduced Akt activation in response to insulin correlated with decreased ENT2 distribution at the plasma membrane. Kidney tissues from diabetic rats and human DN biopsies showed ENT2 redistribution to an intracellular pattern, evidencing dysfunctional adenosine uptake. Through ENT inhibition, we evidenced increased proteinuria and induced alpha-smooth muscle actin as a result of profibrotic activation of cells in the kidney. CONCLUSION Deficient insulin regulation of ENT2 activity contributes to chronically high adenosine levels and glomerular alterations that underline diabetic kidney disease progression.
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Affiliation(s)
- Raibel Suarez
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Carolina Villarreal
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Yessica Nahuelpán
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Claudia Jara
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Carlos Oyarzún
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Sebastián Alarcón
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Montserrat M Díaz-Encarnación
- Nephrology Service Fundació Puigvert, Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Elena Guillén-Gómez
- Nephrology Service Fundació Puigvert, Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Claudia Quezada
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile; Millennium Institute on Immunology and Immunotherapy, Valdivia, Chile
| | - Rody San Martín
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile.
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2
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Gnudi L. Renal disease in patients with type 2 diabetes: Magnitude of the problem, risk factors and preventive strategies. Presse Med 2023; 52:104159. [PMID: 36565753 DOI: 10.1016/j.lpm.2022.104159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Luigi Gnudi
- School of Cardiovascular and Metabolic Medicine & Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
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3
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Lee CJ, Chen TH, Lim AMW, Chang CC, Sie JJ, Chen PL, Chang SW, Wu SJ, Hsu CL, Hsieh AR, Yang WS, Fann CSJ. Phenome-wide analysis of Taiwan Biobank reveals novel glycemia-related loci and genetic risks for diabetes. Commun Biol 2022; 5:1175. [PMID: 36329257 PMCID: PMC9633758 DOI: 10.1038/s42003-022-04168-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 10/25/2022] [Indexed: 11/05/2022] Open
Abstract
To explore the complex genetic architecture of common diseases and traits, we conducted comprehensive PheWAS of ten diseases and 34 quantitative traits in the community-based Taiwan Biobank (TWB). We identified 995 significantly associated loci with 135 novel loci specific to Taiwanese population. Further analyses highlighted the genetic pleiotropy of loci related to complex disease and associated quantitative traits. Extensive analysis on glycaemic phenotypes (T2D, fasting glucose and HbA1c) was performed and identified 115 significant loci with four novel genetic variants (HACL1, RAD21, ASH1L and GAK). Transcriptomics data also strengthen the relevancy of the findings to metabolic disorders, thus contributing to better understanding of pathogenesis. In addition, genetic risk scores are constructed and validated for absolute risks prediction of T2D in Taiwanese population. In conclusion, our data-driven approach without a priori hypothesis is useful for novel gene discovery and validation on top of disease risk prediction for unique non-European population.
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Affiliation(s)
- Chia-Jung Lee
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.,Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Ting-Huei Chen
- Department of Mathematics and Statistics, Laval University, Quebec, QC, G1V0A6, Canada.,Brain Research Centre (CERVO), Quebec, QC, G1V0A6, Canada
| | - Aylwin Ming Wee Lim
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.,Taiwan International Graduate Program in Molecular Medicine, National Yang Ming Chiao Tung University and Academia Sinica, Taipei, 115, Taiwan
| | - Chien-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan
| | - Jia-Jyun Sie
- Department of Mathematics, National Changhua University of Education, Changhua, Taiwan
| | - Pei-Lung Chen
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan.,Department of Medical Genetics, National Taiwan University Hospital, Taipei, 100225, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan
| | - Su-Wei Chang
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, 333, Taiwan.,Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, 333, Taiwan
| | - Shang-Jung Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan
| | - Chia-Lin Hsu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan
| | - Ai-Ru Hsieh
- Department of Statistics, Tamkang University, New Taipei City, 251301, Taiwan.
| | - Wei-Shiung Yang
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan. .,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan. .,Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225, Taiwan.
| | - Cathy S J Fann
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.
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4
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Guo Y, Zhao X, Liu CQ, Huang ZP, Zou DJ. A novel refined classification system for type 2 diabetes in adults: A Chinese retrospective cohort study. Diabetes Metab Res Rev 2022; 38:e3577. [PMID: 36152017 DOI: 10.1002/dmrr.3577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 08/09/2022] [Accepted: 08/24/2022] [Indexed: 11/09/2022]
Abstract
AIMS We propose a simple type 2 diabetes mellitus (T2DM) classification method based on fasting C-peptide (FCP) levels and examined its feasibility and validity. METHODS Adult T2DM patients first diagnosed in our tertiary care centre from January 2009 to January 2020 were included. Patients were followed until January 2021; their clinical characteristics, chronic complications, treatment regimen, and glycaemic control were compared. RESULTS In total, 5644 T2DM patients were included. Three subgroups were established based on FCP levels: subtype T1 (FCP ≤ 1.0 μg/L), 1423 patients (25.21%); subtype T2 (FCP 1.0-2.5 μg/L), 2914 patients (51.63%); and subtype T3 (FCP ≥ 2.5 μg/L), 1307 patients (23.16%). T1 was characterised by older age, lower body mass indices, higher initial glycosylated haemoglobin (HbA1c) levels, and the lowest homoeostatic model assessment 2 estimates of β-cell function (HOMA2-β) and HOMA2-insulin resistance at baseline. The T3 group's clinical characteristics were opposite to those of T1. T3 patients showed higher incidence rates and risks of diabetic kidney disease, diabetic peripheral vascular disease, and non-alcoholic fatty liver, while the risks of diabetic retinopathy and diabetic peripheral neuropathy were highest in T1. Insulin, glycosidase inhibitors, and thiazolidinedione were the most frequently used drugs, but the use of metformin, dipeptidyl peptidase-4 inhibitor, and insulin secretagogue drugs was slightly lower in T1. T1 maintained higher HbA1c levels throughout follow-up. Overall HbA1c fluctuations were more significant in T3 than in T1 and T2. CONCLUSIONS The new adult T2DM classification is simple and clear and will help classify different T2DM clinical characteristics and guide treatment plans.
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Affiliation(s)
- Yan Guo
- Department of Endocrinology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Xiang Zhao
- Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Chao-Qian Liu
- Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Zhi-Ping Huang
- Department of Hepatobiliary Surgery, General Hospital of Southern Theatre Command, Guangzhou, China
| | - Da-Jin Zou
- Thyroid Disease Research Center, Tenth People's Hospital of Tongji University, Shanghai, China
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5
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Xiong XF, Yang Y, Wei L, Xiao Y, Li L, Sun L. Identification of two novel subgroups in patients with diabetes mellitus and their association with clinical outcomes: A two-step cluster analysis. J Diabetes Investig 2021; 12:1346-1358. [PMID: 33411406 PMCID: PMC8354513 DOI: 10.1111/jdi.13494] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/18/2020] [Accepted: 01/01/2021] [Indexed: 12/12/2022] Open
Abstract
Aims/Introduction The aim of this study was to determine whether distinct subphenotypes of patients with type 2 diabetes in the European classification exist in Chinese populations, and to further establish novel subphenotypes more suitable for Chinese populations. Material and Methods The research retrospectively analyzed 5414 patients with type 2 diabetes from the National Clinical Research Center for Metabolic Diseases Diabetes Center in China, and a two‐step cluster analysis was carried out. First, we confirmed the European classification in Chinese populations by six parameters, including age at disease onset, body mass index, glycosylated hemoglobin, homeostatic model assessment 2 to estimate β‐cell function and insulin resistance, and glutamate decarboxylase antibodies. Furthermore, triglycerides and uric acid were added to refine the cluster analysis, and Cox regression was used to evaluate the risk of diabetic complications. Results Just three clusters were replicated in our cohort according to Emma Ahlqvist's European classification. When other variables were added to the cluster analysis, seven subgroups were identified, including five clusters of the European classification and two novel subgroups, namely, uric acid‐related diabetes and inheritance‐related diabetes. Compared with patients with inheritance‐related diabetes, patients with severe insulin‐resistant diabetes showed a higher risk of diabetic peripheral neuropathy, hypertension and chronic kidney disease, and the uric acid‐related diabetes subgroup showed a higher risk of coronary heart disease, cerebral vascular disease and end‐stage renal disease. Patients with severe insulin‐deficient diabetes showed a higher risk of diabetic retinopathy and diabetic foot than those with inheritance‐related diabetes. Furthermore, there were sex‐specific associations between subgroups and clinical outcomes. No significant difference was observed in the prevalence of cancer in each subgroup. Conclusions Seven subgroups of type 2 diabetes were identified in Chinese populations, with distinct characteristics and disparate clinical outcomes. This etiology‐based stratification might contribute to the diagnosis and management of type 2 diabetes.
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Affiliation(s)
- Xiao-Fen Xiong
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Yang
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ling Wei
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ying Xiao
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Li Li
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lin Sun
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
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6
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Denhez B, Rousseau M, Spino C, Dancosst DA, Dumas MÈ, Guay A, Lizotte F, Geraldes P. Saturated fatty acids induce insulin resistance in podocytes through inhibition of IRS1 via activation of both IKKβ and mTORC1. Sci Rep 2020; 10:21628. [PMID: 33303821 PMCID: PMC7728775 DOI: 10.1038/s41598-020-78376-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 11/17/2020] [Indexed: 12/31/2022] Open
Abstract
Diabetic nephropathy (DN), a microvascular complication of diabetes, is the leading cause of end-stage renal disease worldwide. Multiple studies have shown that podocyte dysfunction is a central event in the progression of the disease. Beside chronic hyperglycemia, dyslipidemia can induce insulin resistance and dysfunction in podocytes. However, the exact mechanisms of free fatty acid (FFA)-induced podocyte insulin unresponsiveness are poorly understood. We used a type 2 diabetic mouse model (db/db) and mouse podocytes exposed to palmitic acid for 24 h followed by an insulin stimulation. Renal function and pathology were evaluated at 25 weeks of age to confirm the DN development. Our results demonstrate that saturated FFA activated the serine/threonine kinases IκB kinase (IKK)β/IκBα and mTORC1/S6K1, but not protein kinase C and c-jun N-terminal kinase, in podocytes and glomeruli of db/db mice. Activation of both kinases promoted serine 307 phosphorylation of IRS1, a residue known to provoke IRS1 inhibition. Using IKK, mTORC1 and ceramide production inhibitors, we were able to blunt IRS1 serine 307 phosphorylation and restore insulin stimulation of Akt. In conclusion, our results indicate that FFA and diabetes contribute to insulin resistance through the activation of IKKβ and S6K1 leading to podocyte dysfunction and DN.
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Affiliation(s)
- Benoit Denhez
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - Marina Rousseau
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - Crysta Spino
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - David-Alexandre Dancosst
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - Marie-Ève Dumas
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - Andréanne Guay
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - Farah Lizotte
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada
| | - Pedro Geraldes
- From the Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada. .,Division of Endocrinology, Department of Medicine, Université de Sherbrooke, 3001 12e Ave Nord, Sherbrooke, QC, J1H 5N4, Canada.
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7
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Pina AF, Borges DO, Meneses MJ, Branco P, Birne R, Vilasi A, Macedo MP. Insulin: Trigger and Target of Renal Functions. Front Cell Dev Biol 2020; 8:519. [PMID: 32850773 PMCID: PMC7403206 DOI: 10.3389/fcell.2020.00519] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 06/02/2020] [Indexed: 12/16/2022] Open
Abstract
Kidney function in metabolism is often underestimated. Although the word “clearance” is associated to “degradation”, at nephron level, proper balance between what is truly degraded and what is redirected to de novo utilization is crucial for the maintenance of electrolytic and acid–basic balance and energy conservation. Insulin is probably one of the best examples of how diverse and heterogeneous kidney response can be. Kidney has a primary role in the degradation of insulin released in the bloodstream, but it is also incredibly susceptible to insulin action throughout the nephron. Fluctuations in insulin levels during fast and fed state add another layer of complexity in the understanding of kidney fine-tuning. This review aims at revisiting renal insulin actions and clearance and to address the association of kidney dysmetabolism with hyperinsulinemia and insulin resistance, both highly prevalent phenomena in modern society.
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Affiliation(s)
- Ana F Pina
- Centro de Estudos de Doenças Crónicas, NOVA Medical School/Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal.,ProRegeM Ph.D. Programme, NOVA Medical School/Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal.,Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Diego O Borges
- Centro de Estudos de Doenças Crónicas, NOVA Medical School/Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal.,Molecular Biosciences Ph.D. Programme, Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
| | - Maria João Meneses
- Centro de Estudos de Doenças Crónicas, NOVA Medical School/Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal.,ProRegeM Ph.D. Programme, NOVA Medical School/Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Patrícia Branco
- Department of Nephrology, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.,Portuguese Diabetes Association - Education and Research Center (APDP-ERC), Lisbon, Portugal
| | - Rita Birne
- Department of Nephrology, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.,Portuguese Diabetes Association - Education and Research Center (APDP-ERC), Lisbon, Portugal
| | - Antonio Vilasi
- Institute of Clinical Physiology - National Research Council, Reggio Calabria Unit1, Reggio Calabria, Italy
| | - Maria Paula Macedo
- Centro de Estudos de Doenças Crónicas, NOVA Medical School/Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal.,Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.,Portuguese Diabetes Association - Education and Research Center (APDP-ERC), Lisbon, Portugal
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8
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Pei K, Gui T, Li C, Zhang Q, Feng H, Li Y, Wu J, Gai Z. Recent Progress on Lipid Intake and Chronic Kidney Disease. BIOMED RESEARCH INTERNATIONAL 2020; 2020:3680397. [PMID: 32382547 PMCID: PMC7196967 DOI: 10.1155/2020/3680397] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 02/12/2020] [Accepted: 02/18/2020] [Indexed: 12/16/2022]
Abstract
The incidence of chronic kidney disease (CKD) is associated with major abnormalities in circulating lipoproteins and renal lipid metabolism. This article elaborates on the mechanisms of CKD and lipid uptake abnormalities. The viewpoint we supported is that lipid abnormalities directly cause CKD, resulting in forming a vicious cycle. On the theoretical and experiment fronts, this inference has been verified by elaborately elucidating the role of lipid intake and accumulation as well as their influences on CKD. Taken together, these findings suggest that further understanding of lipid metabolism in CKD may lead to novel therapeutic approaches.
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Affiliation(s)
- Ke Pei
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Ting Gui
- Key Laboratory of Traditional Chinese Medicine for Classical Theory, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Chao Li
- Key Laboratory of Traditional Chinese Medicine for Classical Theory, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Qian Zhang
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Huichao Feng
- Acupuncture and Massage College, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Yunlun Li
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
- The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, China
| | - Jibiao Wu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Zhibo Gai
- Key Laboratory of Traditional Chinese Medicine for Classical Theory, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, 8006 Zurich, Switzerland
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9
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Lehtonen S. SHIPping out diabetes-Metformin, an old friend among new SHIP2 inhibitors. Acta Physiol (Oxf) 2020; 228:e13349. [PMID: 31342643 PMCID: PMC6916339 DOI: 10.1111/apha.13349] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 07/15/2019] [Accepted: 07/19/2019] [Indexed: 02/06/2023]
Abstract
SHIP2 (Src homology 2 domain‐containing inositol 5′‐phosphatase 2) belongs to the family of 5′‐phosphatases. It regulates the phosphoinositide 3‐kinase (PI3K)‐mediated insulin signalling cascade by dephosphorylating the 5′‐position of PtdIns(3,4,5)P3 to generate PtdIns(3,4)P2, suppressing the activity of the pathway. SHIP2 mouse models and genetic studies in human propose that increased expression or activity of SHIP2 contributes to the pathogenesis of the metabolic syndrome, hypertension and type 2 diabetes. This has raised great interest to identify SHIP2 inhibitors that could be used to design new treatments for metabolic diseases. This review summarizes the central mechanisms associated with the development of diabetic kidney disease, including the role of insulin resistance, and then moves on to describe the function of SHIP2 as a regulator of metabolism in mouse models. Finally, the identification of SHIP2 inhibitors and their effects on metabolic processes in vitro and in vivo are outlined. One of the newly identified SHIP2 inhibitors is metformin, the first‐line medication prescribed to patients with type 2 diabetes, further boosting the attraction of SHIP2 as a treatment target to ameliorate metabolic disorders.
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Affiliation(s)
- Sanna Lehtonen
- Department of Pathology and Research Program for Clinical and Molecular Metabolism, Faculty of Medicine University of Helsinki Helsinki Finland
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10
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Lee HL, Waldman MA, Auh S, Balow JE, Cochran EK, Gorden P, Brown RJ. Effects of metreleptin on proteinuria in patients with lipodystrophy. J Clin Endocrinol Metab 2019; 104:4169-4177. [PMID: 30990519 PMCID: PMC6688455 DOI: 10.1210/jc.2019-00200] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/10/2019] [Indexed: 01/22/2023]
Abstract
CONTEXT Patients with lipodystrophy have high prevalence of proteinuria. OBJECTIVE To assess kidney disease in patients with generalized (GLD) versus partial lipodystrophy (PLD), and effects metreleptin on proteinuria in patients with lipodystrophy. DESIGN/SETTING/PATIENTS/INTERVENTION Prospective, open-label studies of metreleptin treatment in patients with GLD and PLD at the National Institutes of Health, Bethesda, MD. OUTCOME MEASURES 24-hour urinary albumin and protein excretion rates, estimated glomerular filtration rate (eGFR), and creatinine clearance (CrCl) were measured at baseline and during up to 24 months of metreleptin treatment. Patients with increases in medications affecting outcome measures were excluded. RESULTS At baseline, patients with GLD had significantly greater albuminuria, proteinuria, eGFR, and CrCl compared to patients with PLD. CrCl was above the normal range in 69% of patients with GLD, and 39% with PLD (P=0.02). With up to 24 months of metreleptin treatment, there were significant reductions in albuminuria and proteinuria in patients with GLD, but not in those with PLD. No changes in eGFR or CrCl were observed in patients with GLD or PLD during metreleptin treatment. CONCLUSIONS Patients with GLD had significantly greater proteinuria than those with PLD, which improved with metreleptin treatment. The mechanisms leading to proteinuria in lipodystrophy and improvements in proteinuria with metreleptin are not clear. Hyperfiltration was also more common in GLD versus PLD but did not change with metreleptin.
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Affiliation(s)
- Ho Lim Lee
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Meryl A Waldman
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Sungyoung Auh
- Office of the Clinical Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - James E Balow
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Elaine K Cochran
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Phillip Gorden
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Rebecca J Brown
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
- Correspondence and Reprint Requests: Rebecca J. Brown, MD, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Building 10-CRC, Room 6-5942, 10 Center Drive, Bethesda, Maryland 20892. E-mail:
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van Zuydam NR, Ahlqvist E, Sandholm N, Deshmukh H, Rayner NW, Abdalla M, Ladenvall C, Ziemek D, Fauman E, Robertson NR, McKeigue PM, Valo E, Forsblom C, Harjutsalo V, Perna A, Rurali E, Marcovecchio ML, Igo RP, Salem RM, Perico N, Lajer M, Käräjämäki A, Imamura M, Kubo M, Takahashi A, Sim X, Liu J, van Dam RM, Jiang G, Tam CHT, Luk AOY, Lee HM, Lim CKP, Szeto CC, So WY, Chan JCN, Ang SF, Dorajoo R, Wang L, Clara TSH, McKnight AJ, Duffy S, Pezzolesi MG, Marre M, Gyorgy B, Hadjadj S, Hiraki LT, Ahluwalia TS, Almgren P, Schulz CA, Orho-Melander M, Linneberg A, Christensen C, Witte DR, Grarup N, Brandslund I, Melander O, Paterson AD, Tregouet D, Maxwell AP, Lim SC, Ma RCW, Tai ES, Maeda S, Lyssenko V, Tuomi T, Krolewski AS, Rich SS, Hirschhorn JN, Florez JC, Dunger D, Pedersen O, Hansen T, Rossing P, Remuzzi G, Brosnan MJ, Palmer CNA, Groop PH, Colhoun HM, Groop LC, McCarthy MI. A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes. Diabetes 2018; 67:1414-1427. [PMID: 29703844 PMCID: PMC6014557 DOI: 10.2337/db17-0914] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 03/30/2018] [Indexed: 01/10/2023]
Abstract
Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10-8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Case-Control Studies
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/epidemiology
- Diabetes Mellitus, Type 2/genetics
- Diabetic Nephropathies/epidemiology
- Diabetic Nephropathies/genetics
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Kidney Failure, Chronic/complications
- Kidney Failure, Chronic/epidemiology
- Kidney Failure, Chronic/genetics
- Male
- Middle Aged
- Polymorphism, Single Nucleotide
- Renal Insufficiency, Chronic/complications
- Renal Insufficiency, Chronic/epidemiology
- Renal Insufficiency, Chronic/genetics
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Affiliation(s)
- Natalie R van Zuydam
- Wellcome Centre Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Emma Ahlqvist
- Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Diabetes and Obesity Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | | | - N William Rayner
- Wellcome Centre Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
- Human Genetics Programme, Wellcome Sanger Institute, University of Cambridge, Cambridge, U.K
| | - Moustafa Abdalla
- Wellcome Centre Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
- Department of Statistics, University of Oxford, Oxford, U.K
| | - Claes Ladenvall
- Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Daniel Ziemek
- Inflammation and Immunology Research Unit, Pfizer, Berlin, Germany
| | - Eric Fauman
- Computational Target Validation, Pfizer, Cambridge, MA
| | - Neil R Robertson
- Wellcome Centre Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Paul M McKeigue
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, U.K
| | - Erkka Valo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Diabetes and Obesity Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Diabetes and Obesity Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Diabetes and Obesity Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | | | - Annalisa Perna
- Clinical Research Center for Rare Diseases "Aldo e Cele Daccò," Istituto di Ricerche Farmacologiche "Mario Negri," Bergamo, Italy
| | - Erica Rurali
- Clinical Research Center for Rare Diseases "Aldo e Cele Daccò," Istituto di Ricerche Farmacologiche "Mario Negri," Bergamo, Italy
| | | | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH
| | - Rany M Salem
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA
| | - Norberto Perico
- Clinical Research Center for Rare Diseases "Aldo e Cele Daccò," Istituto di Ricerche Farmacologiche "Mario Negri," Bergamo, Italy
| | - Maria Lajer
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland
- Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Minako Imamura
- 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
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Atsushi Takahashi
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Guozhi Jiang
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Claudia H T Tam
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Andrea O Y Luk
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Heung Man Lee
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Integrated Bioinformatics Laboratory for Cancer and Metabolic Diseases, The Chinese University of Hong Kong, Hong Kong, China
| | - Cadmon K P Lim
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Cheuk Chun Szeto
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Wing Yee So
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Juliana C N Chan
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Su Fen Ang
- Clinical Research Unit, Khoo Teck Puat Hospital, National Healthcare Group, Singapore
| | - Rajkumar Dorajoo
- Division of Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Ling Wang
- Division of Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Tan Si Hua Clara
- Clinical Research Unit, Khoo Teck Puat Hospital, National Healthcare Group, Singapore
| | | | - Seamus Duffy
- Centre for Public Health, Queen's University Belfast, Belfast, U.K
| | | | - Marcus G Pezzolesi
- Division of Nephrology and Hypertension and Diabetes & Metabolism Research Center, University of Utah Health, Salt Lake City, UT
| | | | - Michel Marre
- Sorbonnes Université, University Pierre and Marie Curie, INSERM UMRS 1166, Institute for Cardiometabolism and Nutrition, Department of Genomics and Pathophysiology of Cardiovascular Diseases, Paris, France
| | - Beata Gyorgy
- Sorbonnes Université, University Pierre and Marie Curie, INSERM UMRS 1166, Institute for Cardiometabolism and Nutrition, Department of Genomics and Pathophysiology of Cardiovascular Diseases, Paris, France
| | - Samy Hadjadj
- Endocrinology-Diabetology, Centre Hospitalier Universitaire de Poitiers, Poitiers, France
- Clinical Investigation Center 1402 and U1082, INSERM, University of Poitiers, Poitiers, France
- Faculté de Médecine et de Pharmacie, University of Poitiers, Poitiers, France
| | - Linda T Hiraki
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | | | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Almgren
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Christina-Alexandra Schulz
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Marju Orho-Melander
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cramer Christensen
- Department of Internal Medicine and Endocrinology, Vejle Hospital, Vejle, Denmark
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ivan Brandslund
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry, Vejle Hospital, Vejle, Denmark
| | - Olle Melander
- Hypertension and Cardiovascular Disease, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Andrew D Paterson
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - David Tregouet
- Sorbonnes Université, University Pierre and Marie Curie, INSERM UMRS 1166, Institute for Cardiometabolism and Nutrition, Department of Genomics and Pathophysiology of Cardiovascular Diseases, Paris, France
| | | | - Su Chi Lim
- Diabetes Centre, Clinical Research Unit, Department of Medicine, Khoo Teck Puat Hospital, National Healthcare Group, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Integrated Bioinformatics Laboratory for Cancer and Metabolic Diseases, The Chinese University of Hong Kong, Hong Kong, China
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Cardiovascular & Metabolic Disorders Program, Duke-National University of Singapore Medical School, Singapore
| | - Shiro Maeda
- 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
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Valeriya Lyssenko
- Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Norway
| | - Tiinamaija Tuomi
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Diabetes and Obesity Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
- Abdominal Center Endocrinology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Joel N Hirschhorn
- Center for Basic and Translational Obesity Research and Division of Endocrinology, Boston Children's Hospital, Boston, MA
- Programs in Medical and Population Genetics and Metabolism, Broad Institute, Cambridge, MA
- Department of Genetics, Harvard Medical School, Boston, MA
| | - Jose C Florez
- Programs in Medical and Population Genetics and Metabolism, Broad Institute, Cambridge, MA
- Diabetes Clinical Research Center, Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - David Dunger
- Department of Paediatrics, University of Cambridge, Cambridge, U.K
- Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, U.K
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Giuseppe Remuzzi
- Clinical Research Center for Rare Diseases "Aldo e Cele Daccò," Istituto di Ricerche Farmacologiche "Mario Negri," Bergamo, Italy
- Unit of Nephrology and Dialysis, Azienda Socio Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | | | - Mary Julia Brosnan
- Cardiovascular, Metabolic and Endocrine Diseases Research Unit, Pfizer, Cambridge, MA
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Diabetes and Obesity Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Helen M Colhoun
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, U.K
| | - Leif C Groop
- Diabetes and Endocrinology, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Mark I McCarthy
- Wellcome Centre Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
- National Institute for Health Research, Oxford Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, U.K
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12
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Ahlqvist E, Storm P, Käräjämäki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P, Wessman Y, Shaat N, Spégel P, Mulder H, Lindholm E, Melander O, Hansson O, Malmqvist U, Lernmark Å, Lahti K, Forsén T, Tuomi T, Rosengren AH, Groop L. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol 2018; 6:361-369. [PMID: 29503172 DOI: 10.1016/s2213-8587(18)30051-2] [Citation(s) in RCA: 1140] [Impact Index Per Article: 190.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 01/30/2018] [Accepted: 01/31/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but type 2 diabetes in particular is highly heterogeneous. A refined classification could provide a powerful tool to individualise treatment regimens and identify individuals with increased risk of complications at diagnosis. METHODS We did data-driven cluster analysis (k-means and hierarchical clustering) in patients with newly diagnosed diabetes (n=8980) from the Swedish All New Diabetics in Scania cohort. Clusters were based on six variables (glutamate decarboxylase antibodies, age at diagnosis, BMI, HbA1c, and homoeostatic model assessment 2 estimates of β-cell function and insulin resistance), and were related to prospective data from patient records on development of complications and prescription of medication. Replication was done in three independent cohorts: the Scania Diabetes Registry (n=1466), All New Diabetics in Uppsala (n=844), and Diabetes Registry Vaasa (n=3485). Cox regression and logistic regression were used to compare time to medication, time to reaching the treatment goal, and risk of diabetic complications and genetic associations. FINDINGS We identified five replicable clusters of patients with diabetes, which had significantly different patient characteristics and risk of diabetic complications. In particular, individuals in cluster 3 (most resistant to insulin) had significantly higher risk of diabetic kidney disease than individuals in clusters 4 and 5, but had been prescribed similar diabetes treatment. Cluster 2 (insulin deficient) had the highest risk of retinopathy. In support of the clustering, genetic associations in the clusters differed from those seen in traditional type 2 diabetes. INTERPRETATION We stratified patients into five subgroups with differing disease progression and risk of diabetic complications. This new substratification might eventually help to tailor and target early treatment to patients who would benefit most, thereby representing a first step towards precision medicine in diabetes. FUNDING Swedish Research Council, European Research Council, Vinnova, Academy of Finland, Novo Nordisk Foundation, Scania University Hospital, Sigrid Juselius Foundation, Innovative Medicines Initiative 2 Joint Undertaking, Vasa Hospital district, Jakobstadsnejden Heart Foundation, Folkhälsan Research Foundation, Ollqvist Foundation, and Swedish Foundation for Strategic Research.
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Affiliation(s)
- Emma Ahlqvist
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Petter Storm
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland; Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Mats Martinell
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Mozhgan Dorkhan
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Annelie Carlsson
- Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden
| | - Petter Vikman
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Rashmi B Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Dina Mansour Aly
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Peter Almgren
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Ylva Wessman
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Nael Shaat
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Peter Spégel
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden; Department of Chemistry, Centre for Analysis and Synthesis, Lund University, Lund, Sweden
| | - Hindrik Mulder
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Eero Lindholm
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Olle Melander
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Ola Hansson
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Ulf Malmqvist
- Clinical Research and Trial Center, Lund University Hospital, Sweden
| | - Åke Lernmark
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Kaj Lahti
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland; Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Tom Forsén
- Folkhälsan Research Center, Helsinki, Finland
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland; Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, University of Helsinki, Helsinki, Finland; Finnish Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Anders H Rosengren
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden; Department of Neuroscience and Physiology, Wallenberg Center for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Leif Groop
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden; Finnish Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland.
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13
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Wasik AA, Lehtonen S. Glucose Transporters in Diabetic Kidney Disease-Friends or Foes? Front Endocrinol (Lausanne) 2018; 9:155. [PMID: 29686650 PMCID: PMC5900043 DOI: 10.3389/fendo.2018.00155] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 03/22/2018] [Indexed: 12/16/2022] Open
Abstract
Diabetic kidney disease (DKD) is a major microvascular complication of diabetes and a common cause of end-stage renal disease worldwide. DKD manifests as an increased urinary protein excretion (albuminuria). Multiple studies have shown that insulin resistance correlates with the development of albuminuria in non-diabetic and diabetic patients. There is also accumulating evidence that glomerular epithelial cells or podocytes are insulin sensitive and that insulin signaling in podocytes is essential for maintaining normal kidney function. At the cellular level, the mechanisms leading to the development of insulin resistance include mutations in the insulin receptor gene, impairments in the phosphoinositide 3-kinase (PI3K)/AKT signaling pathway, or perturbations in the trafficking of glucose transporters (GLUTs), which mediate the uptake of glucose into cells. Podocytes express several GLUTs, including GLUT1, GLUT2, GLUT3, GLUT4, and GLUT8. Of these, the most studied ones are GLUT1 and GLUT4, both shown to be insulin responsive in podocytes. In the basal state, GLUT4 is preferentially located in perinuclear and cytosolic vesicular structures and to a lesser extent at the plasma membrane. After insulin stimulation, GLUT4 is sorted into GLUT4-containing vesicles (GCVs) that translocate to the plasma membrane. GCV trafficking consists of several steps, including approaching of the GCVs to the plasma membrane, tethering, and docking, after which the lipid bilayers of the GCVs and the plasma membrane fuse, delivering GLUT4 to the cell surface for glucose uptake into the cell. Studies have revealed novel molecular regulators of the GLUT trafficking in podocytes and unraveled unexpected roles for GLUT1 and GLUT4 in the development of DKD, summarized in this review. These findings pave the way for better understanding of the mechanistic pathways associated with the development and progression of DKD and aid in the development of new treatments for this devastating disease.
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14
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Alarcón S, Garrido W, Vega G, Cappelli C, Suárez R, Oyarzún C, Quezada C, San Martín R. Deficient Insulin-mediated Upregulation of the Equilibrative Nucleoside Transporter 2 Contributes to Chronically Increased Adenosine in Diabetic Glomerulopathy. Sci Rep 2017; 7:9439. [PMID: 28842605 PMCID: PMC5572683 DOI: 10.1038/s41598-017-09783-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 07/28/2017] [Indexed: 12/21/2022] Open
Abstract
Deficient insulin signaling is a key event mediating diabetic glomerulopathy. Additionally, diabetic kidney disease has been related to increased levels of adenosine. Therefore, we tested a link between insulin deficiency and dysregulated activity of the equilibrative nucleoside transporters (ENTs) responsible for controlling extracellular levels of adenosine. In ex vivo glomeruli, high D-glucose decreased nucleoside uptake mediated by ENT1 and ENT2 transporters, resulting in augmented extracellular levels of adenosine. This condition was reversed by exposure to insulin. Particularly, insulin through insulin receptor/PI3K pathway markedly upregulated ENT2 uptake activity to restores the extracellular basal level of adenosine. Using primary cultured rat podocytes as a cellular model, we found insulin was able to increase ENT2 maximal velocity of transport. Also, PI3K activity was necessary to maintain ENT2 protein levels in the long term. In glomeruli of streptozotocin-induced diabetic rats, insulin deficiency leads to decreased activity of ENT2 and chronically increased extracellular levels of adenosine. Treatment of diabetic rats with adenosine deaminase attenuated both the glomerular loss of nephrin and proteinuria. In conclusion, we evidenced ENT2 as a target of insulin signaling and sensitive to dysregulation in diabetes, leading to chronically increased extracellular adenosine levels and thereby setting conditions conducive to kidney injury.
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Affiliation(s)
- Sebastián Alarcón
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Wallys Garrido
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Génesis Vega
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Claudio Cappelli
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Raibel Suárez
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Carlos Oyarzún
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Claudia Quezada
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Rody San Martín
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile.
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15
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Mardinoglu A, Stančáková A, Lotta LA, Kuusisto J, Boren J, Blüher M, Wareham NJ, Ferrannini E, Groop PH, Laakso M, Langenberg C, Smith U. Plasma Mannose Levels Are Associated with Incident Type 2 Diabetes and Cardiovascular Disease. Cell Metab 2017; 26:281-283. [PMID: 28768165 DOI: 10.1016/j.cmet.2017.07.006] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Plasma mannose levels are elevated in subjects with insulin resistance independently of obesity. Here, we found that elevated plasma mannose levels are strong markers of future risk of several chronic diseases including T2D, CVD, and albuminuria, and that it may contribute to their development rather than just being a novel biomarker.
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Affiliation(s)
- Adil Mardinoglu
- Science for Life Laboratory, KTH-Royal Institute of Technology, 17165 Stockholm, Sweden; Department of Biology and Biological Engineering, Chalmers University of Technology, 41260 Gothenburg, Sweden.
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Luca A Lotta
- MRC Epidemiology Unit, University of Cambridge, CB2 0QQ Cambridge, UK
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Jan Boren
- Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg 41345, Sweden
| | - Matthias Blüher
- University of Leipzig, Department of Medicine, 04103 Leipzig, Germany
| | | | | | - Per Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum, 00290 Helsinki, Finland; Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland; Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | | | - Ulf Smith
- Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg 41345, Sweden.
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16
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Oyarzún C, Garrido W, Alarcón S, Yáñez A, Sobrevia L, Quezada C, San Martín R. Adenosine contribution to normal renal physiology and chronic kidney disease. Mol Aspects Med 2017; 55:75-89. [PMID: 28109856 DOI: 10.1016/j.mam.2017.01.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2016] [Revised: 01/11/2017] [Accepted: 01/13/2017] [Indexed: 12/12/2022]
Abstract
Adenosine is a nucleoside that is particularly interesting to many scientific and clinical communities as it has important physiological and pathophysiological roles in the kidney. The distribution of adenosine receptors has only recently been elucidated; therefore it is likely that more biological roles of this nucleoside will be unveiled in the near future. Since the discovery of the involvement of adenosine in renal vasoconstriction and regulation of local renin production, further evidence has shown that adenosine signaling is also involved in the tubuloglomerular feedback mechanism, sodium reabsorption and the adaptive response to acute insults, such as ischemia. However, the most interesting finding was the increased adenosine levels in chronic kidney diseases such as diabetic nephropathy and also in non-diabetic animal models of renal fibrosis. When adenosine is chronically increased its signaling via the adenosine receptors may change, switching to a state that induces renal damage and produces phenotypic changes in resident cells. This review discusses the physiological and pathophysiological roles of adenosine and pays special attention to the mechanisms associated with switching homeostatic nucleoside levels to increased adenosine production in kidneys affected by CKD.
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Affiliation(s)
- Carlos Oyarzún
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Wallys Garrido
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Sebastián Alarcón
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Alejandro Yáñez
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Luis Sobrevia
- Cellular and Molecular Physiology Laboratory (CMPL), Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile; Department of Physiology, Faculty of Pharmacy, Universidad de Sevilla, Seville E-41012, Spain; University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston QLD 4029, Queensland, Australia
| | - Claudia Quezada
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile
| | - Rody San Martín
- Institute of Biochemistry and Microbiology, Science Faculty, Universidad Austral de Chile, Valdivia, Chile.
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17
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Østergaard MV, Pinto V, Stevenson K, Worm J, Fink LN, Coward RJM. DBA2J db/db mice are susceptible to early albuminuria and glomerulosclerosis that correlate with systemic insulin resistance. Am J Physiol Renal Physiol 2016; 312:F312-F321. [PMID: 27852608 DOI: 10.1152/ajprenal.00451.2016] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 10/26/2016] [Accepted: 11/09/2016] [Indexed: 12/12/2022] Open
Abstract
Diabetic nephropathy (DN) is the leading cause of kidney failure in the world. To understand important mechanisms underlying this condition, and to develop new therapies, good animal models are required. In mouse models of type 1 diabetes, the DBA/2J strain has been shown to be more susceptible to develop kidney disease than other common strains. We hypothesized this would also be the case in type 2 diabetes. We studied db/db and wild-type (wt) DBA/2J mice and compared these with the db/db BLKS/J mouse, which is currently the most widely used type 2 DN model. Mice were analyzed from age 6 to 12 wk for systemic insulin resistance, albuminuria, and glomerular histopathological and ultrastructural changes. Body weight and nonfasted blood glucose were increased by 8 wk in both genders, while systemic insulin resistance commenced by 6 wk in female and 8 wk in male db/db DBA/2J mice. The urinary albumin-to-creatinine ratio (ACR) was closely linked to systemic insulin resistance in both sexes and was increased ~50-fold by 12 wk of age in the db/db DBA/2J cohort. Glomerulosclerosis, foot process effacement, and glomerular basement membrane thickening were observed at 12 wk of age in db/db DBA/2J mice. Compared with db/db BLKS/J mice, db/db DBA/2J mice had significantly increased levels of urinary ACR, but similar glomerular histopathological and ultrastructural changes. The db/db DBA/2J mouse is a robust model of early-stage albuminuric DN, and its levels of albuminuria correlate closely with systemic insulin resistance. This mouse model will be helpful in defining early mechanisms of DN and ultimately the development of novel therapies.
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Affiliation(s)
- Mette V Østergaard
- Global Research, Novo Nordisk, Måløv, Denmark.,Bristol Renal, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom; and
| | - Vanda Pinto
- Bristol Renal, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom; and
| | - Kirsty Stevenson
- Department of Biochemistry, Bristol Royal Infirmary, Bristol, United Kingdom
| | - Jesper Worm
- Global Research, Novo Nordisk, Måløv, Denmark
| | | | - Richard J M Coward
- Bristol Renal, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom; and
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18
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Krentz AJ. Type 2 diabetes and atherosclerotic cardiovascular disease: do they share common antecedents? ACTA ACUST UNITED AC 2016. [DOI: 10.1177/14746514020020050501] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
It has been suggested that the association between type 2 diabetes and atherosclerotic cardiovascular disease might result from a shared antecedent — the `common soil' hypothesis. The antecedent could provide a fundamental link between type 2 diabetes and atherosclerosis via the metabolic (or insulin resistance) syndrome. The relative contributions of genes, fetal nutrition and environmental factors to this syndrome remain unclear. Although most patients with type 2 diabetes have insulin resistance, it is uncertain whether the insulin resistance-hyperinsulinaemia complex directly promotes atherogenesis, and whether type 2 diabetes and atheroma are connected via a common mediator such as central obesity, vascular endothelial dysfunction, or disordered lipid metabolism. Insulin sensitivity and cardiovascular risk may be influenced by adipocytokines (e.g. leptin and adiponectin), by excess fatty acids liberated from visceral fat, and inflammatory processes. Disturbances of the neuro-endocrine system, possibly mediated via visceral obesity, are also under investigation. Other putative links between type 2 diabetes and atheroma include polymorphisms in the genes for tumour necrosis factor-α,insulin-like growth factor-1 promoter, and lamin A/C. Trials with certain cardioprotective agents including inhibitors of the renin-angiotensin-aldosterone system and statins can improve cardiovascular outcomes and protect against the development of type 2 diabetes, lending support to the common soil hypothesis.
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Affiliation(s)
- Andrew J Krentz
- Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK,
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19
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Katsoulieris EN, Drossopoulou GI, Kotsopoulou ES, Vlahakos DV, Lianos EA, Tsilibary EC. High Glucose Impairs Insulin Signaling in the Glomerulus: An In Vitro and Ex Vivo Approach. PLoS One 2016; 11:e0158873. [PMID: 27434075 PMCID: PMC4951020 DOI: 10.1371/journal.pone.0158873] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Accepted: 06/23/2016] [Indexed: 01/14/2023] Open
Abstract
Objective Chronic hyperglycaemia, as seen in type II diabetes, results in both morphological and functional impairments of podocytes in the kidney. We investigated the effects of high glucose (HG) on the insulin signaling pathway, focusing on cell survival and apoptotic markers, in immortalized human glomerular cells (HGEC; podocytes) and isolated glomeruli from healthy rats. Methods and Findings HGEC and isolated glomeruli were cultured for various time intervals under HG concentrations in the presence or absence of insulin. Our findings indicated that exposure of HGEC to HG led to downregulation of all insulin signaling markers tested (IR, p-IR, IRS-1, p-Akt, p-Fox01,03), as well as to increased sensitivity to apoptosis (as seen by increased PARP cleavage, Casp3 activation and DNA fragmentation). Short insulin pulse caused upregulation of insulin signaling markers (IR, p-IR, p-Akt, p-Fox01,03) in a greater extent in normoglycaemic cells compared to hyperglycaemic cells and for the case of p-Akt, in a PI3K-dependent manner. IRS-1 phosphorylation of HG-treated podocytes was negatively regulated, favoring serine versus tyrosine residues. Prolonged insulin treatment caused a significant decrease of IR levels, while alterations in glucose concentrations for various time intervals demonstrated changes of IR, p-IR and p-Akt levels, suggesting that the IR signaling pathway is regulated by glucose levels. Finally, HG exerted similar effects in isolated glomeruli. Conclusions These results suggest that HG compromises the insulin signaling pathway in the glomerulus, promoting a proapoptotic environment, with a possible critical step for this malfunction lying at the level of IRS-1 phosphorylation; thus we herein demonstrate glomerular insulin signaling as another target for investigation for the prevention and/ or treatment of diabetic nephropathy.
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Affiliation(s)
- Elias N. Katsoulieris
- Institute of Biosciences and Applications, National Center for Scientific Research ‘Demokritos’, Athens, Greece
| | - Garyfalia I. Drossopoulou
- Institute of Biosciences and Applications, National Center for Scientific Research ‘Demokritos’, Athens, Greece
- * E-mail: (GID); (ECT)
| | - Eleni S. Kotsopoulou
- Institute of Biosciences and Applications, National Center for Scientific Research ‘Demokritos’, Athens, Greece
| | - Dimitrios V. Vlahakos
- 2nd Department of Propaedeutic Medicine, Attikon University Hospital, Athens, Greece
| | - Elias A. Lianos
- Department of Pathology, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Effie C. Tsilibary
- Institute of Biosciences and Applications, National Center for Scientific Research ‘Demokritos’, Athens, Greece
- * E-mail: (GID); (ECT)
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20
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The dose-response effect of insulin sensitivity on albuminuria in children according to diabetes type. Pediatr Nephrol 2016; 31:933-40. [PMID: 26754041 PMCID: PMC4841707 DOI: 10.1007/s00467-015-3276-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Revised: 10/25/2015] [Accepted: 10/26/2015] [Indexed: 12/17/2022]
Abstract
BACKGROUND Insulin resistance is associated with microalbuminuria among youth with diabetes mellitus. We sought to determine the dose-response effect of insulin sensitivity (IS) on the magnitude of albuminuria and whether there is a threshold below which urine albumin excretion increases. METHODS These analyses included participants from the SEARCH for Diabetes in Youth Study with incident diabetes who completed a baseline study visit (n = 2988). We estimated IS using a validated equation incorporating waist circumference, HbA1C, and fasting serum triglycerides. Multivariate regression analyses were performed to assess the effect of IS on urine albumin creatinine ratio (UACR), stratified by diabetes type. The IS threshold was then determined using segmented regressions within each diabetes type and incorporated into the multivariate model. RESULTS There was an association between IS and UACR in type 2 diabetes only (beta = -0.39; p < 0.001). There was strong statistical evidence for a threshold effect of IS score on UACR in the group of youth with type 2 (beta = 0.40; p < 0.001) but not type 1 diabetes (p = 0.3). CONCLUSIONS In cross-sectional analyses, there is a negative association between IS and UACR in youth with type 2 but not type 1 diabetes, and this association likely includes a threshold effect of IS on UACR.
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21
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Resistin Induces Hypertension and Insulin Resistance in Mice via a TLR4-Dependent Pathway. Sci Rep 2016; 6:22193. [PMID: 26917360 PMCID: PMC4768137 DOI: 10.1038/srep22193] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 02/09/2016] [Indexed: 11/18/2022] Open
Abstract
Resistin, an adipokine involved in insulin resistance (IR) and diabetes, has recently been reported to play a role in cardiovascular events. However, its effect on blood pressure (BP) and the underlying mechanisms remain unclear. In the present study, we showed that resistin induces hypertension and IR in wild type (WT) mice, but not in tlr4−/− mice. Resistin upregulated angiotensinogen (Agt) expression in WT mice, whereas it had no effect on tlr4−/− mice, or in mice treated with the angiotensin-converting enzyme inhibitor perindopril. Real-time PCR and chromatin immunoprecipitation further confirmed that resistin activates the renin-angiotensin system (RAS) via the TLR4/P65/Agt pathway. This finding suggested an essential role of resistin in linking IR and hypertension, which may offer a novel target in clinic on the study of the association between diabetes and hypertension.
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22
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Eboh C, Chowdhury TA. Management of diabetic renal disease. ANNALS OF TRANSLATIONAL MEDICINE 2015; 3:154. [PMID: 26244141 DOI: 10.3978/j.issn.2305-5839.2015.06.25] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 06/26/2015] [Indexed: 12/15/2022]
Abstract
Diabetic nephropathy is the leading cause of end stage renal failure (ESRF) worldwide, representing over 50% of patients on renal replacement therapy in some parts of the world. The condition is common in people with type 1 and type 2 diabetes, although the incidence appears to be declining, especially in type 1 diabetes. More than 1 in 3 people with type 2 diabetes have impaired kidney function. Advances in our understanding of the pathogenesis and natural history of the condition have enabled us to consider earlier therapy aimed at renal preservation and reduction in cardiovascular morbidity. Microalbuminuria is now established as the earliest risk marker for nephropathy in type 1 diabetes and cardiovascular disease in type 2 diabetes. This review examines the current concepts in the pathogenesis and management of diabetic nephropathy.
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Affiliation(s)
- Cecil Eboh
- Department of Diabetes and Metabolism, the Royal London Hospital, London, UK
| | - Tahseen A Chowdhury
- Department of Diabetes and Metabolism, the Royal London Hospital, London, UK
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23
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Insulin signaling: implications for podocyte biology in diabetic kidney disease. Curr Opin Nephrol Hypertens 2015; 24:104-10. [PMID: 25415617 DOI: 10.1097/mnh.0000000000000078] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF REVIEW Several key elements of the insulin signaling cascade contribute to podocyte function and survival. While it was initially thought that the consequences of altered insulin signaling to podocyte function was strictly related to altered glucose uptake, it has become clear that upstream signaling events involved in cell survival, lipid metabolism or nutrient sensing and modulated by insulin are strong independent contributors to podocyte function. RECENT FINDINGS Akt2, the major isoform of Akt activated following cellular insulin stimulation, protects against the progression of renal disease in nephron-deficient mice, and podocyte-specific deletion of Akt2 results in a more rapid progression of experimental glomerular disease. In diabetes, podocyte mammalian target of rapamycin activation clearly contributes to podocyte injury and regulated autophagy. Furthermore, podocyte-specific glucose transporter type 4 (GLUT4) deficiency protects podocytes by preventing mammalian target of rapamycin signaling independently of glucose uptake. Finally, intracellular lipids have been recently recognized as major modulators of podocyte insulin signaling and as a new therapeutic target. SUMMARY The identification of new contributors to podocyte insulin signaling is of extreme translational value as it may lead to new drug development strategies for diabetic kidney disease, as well as for other proteinuric kidney diseases.
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Abstract
The kidney is arguably the most important target of microvascular damage in diabetes. A substantial proportion of individuals with diabetes will develop kidney disease owing to their disease and/or other co-morbidity, including hypertension and ageing-related nephron loss. The presence and severity of chronic kidney disease (CKD) identify individuals who are at increased risk of adverse health outcomes and premature mortality. Consequently, preventing and managing CKD in patients with diabetes is now a key aim of their overall management. Intensive management of patients with diabetes includes controlling blood glucose levels and blood pressure as well as blockade of the renin-angiotensin-aldosterone system; these approaches will reduce the incidence of diabetic kidney disease and slow its progression. Indeed, the major decline in the incidence of diabetic kidney disease (DKD) over the past 30 years and improved patient prognosis are largely attributable to improved diabetes care. However, there remains an unmet need for innovative treatment strategies to prevent, arrest, treat and reverse DKD. In this Primer, we summarize what is now known about the molecular pathogenesis of CKD in patients with diabetes and the key pathways and targets implicated in its progression. In addition, we discuss the current evidence for the prevention and management of DKD as well as the many controversies. Finally, we explore the opportunities to develop new interventions through urgently needed investment in dedicated and focused research. For an illustrated summary of this Primer, visit: http://go.nature.com/NKHDzg.
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Abstract
Diabetic vascular complications (DVCs) affecting several important organ systems of human body such as cardiovascular system contribute a major public health problem. Genetic factors contribute to the risk of diabetic nephropathy (DN). Genetics variants, structural variants (copy number variation) and epigenetic changes play important roles in the development of DN. Apart from nucleus genome, mitochondrial DNA (mtDNA) plays critical roles in regulation of development of DN. Epigenetic studies have indicated epigenetic changes in chromatin affecting gene transcription in response to environmental stimuli, which provided a large body of evidence of regulating development of diabetes mellitus. This review focused on the current knowledge of the genetic and epigenetic basis of DN. Ultimately, identification of genes or genetic loci, structural variants and epigenetic changes contributed to risk or protection of DN will benefit uncovering the complex mechanism underlying DN, with crucial implications for the development of personalized medicine to diabetes mellitus and its complications.
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Affiliation(s)
- Zi-Hui Tang
- Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine , Shanghai , China
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26
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Tang ZH, Wang L, Zeng F, Zhang K. Human genetics of diabetic retinopathy. J Endocrinol Invest 2014; 37:1165-74. [PMID: 25201002 DOI: 10.1007/s40618-014-0172-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 08/25/2014] [Indexed: 01/03/2023]
Abstract
There is evidence demonstrating that genetic factors contribute to the risk of diabetic retinopathy (DR). Genetics variants, structural variants (copy number variation, CNV) and epigenetic changes play important roles in the development of DR. Genetic linkage and association studies have uncovered a number of genetic loci and common genetic variants susceptibility to DR. CNV and interactions of gene by environment have also been detected by association analysis. Apart from nucleus genome, mitochondrial DNA plays critical roles in regulation of development of DR. Epigenetic studies have indicated epigenetic changes in chromatin affecting gene transcription in response to environmental stimuli, which provided a large body of evidence of regulating development of diabetes mellitus. Identification of genetic variants and epigenetic changes contributed to risk or protection of DR will benefit uncovering the complex mechanism underlying DR. This review focused on the current knowledge of the genetic and epigenetic basis of DR.
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Affiliation(s)
- Z-H Tang
- Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Room 517 Building 2nd, NO. 389 Xincun Road, Shanghai, 200063, China,
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Fornoni A, Merscher S, Kopp JB. Lipid biology of the podocyte--new perspectives offer new opportunities. Nat Rev Nephrol 2014; 10:379-88. [PMID: 24861084 DOI: 10.1038/nrneph.2014.87] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
In the past 15 years, major advances have been made in understanding the role of lipids in podocyte biology. First, susceptibility to focal segmental glomerulosclerosis (FSGS) and glomerular disease is associated with an APOL1 sequence variant, is expressed in podocytes and encodes apolipoprotein L1, an important component of HDL. Second, acid sphingomyelinase-like phosphodiesterase 3b encoded by SMPDL3b has a role in the conversion of sphingomyelin to ceramide and its levels are reduced in renal biopsy samples from patients with recurrent FSGS. Furthermore, decreased SMPDL3b expression is associated with increased susceptibility of podocytes to injury after exposure to sera from these patients. Third, in many individuals with membranous nephropathy, autoantibodies against the phospholipase A2 (PLA2) receptor, which is expressed in podocytes, have been identified. Whether these autoantibodies affect the activity of PLA2, which liberates arachidonic acid from glycerophospholipids and modulates podocyte function, is unknown. Fourth, clinical and experimental evidence support a role for ATP-binding cassette sub-family A member 1-dependent cholesterol efflux, free fatty acids and glycerophospolipids in the pathogenesis of diabetic kidney disease. An improved understanding of lipid biology in podocytes might provide insights to develop therapeutic targets for primary and secondary glomerulopathies.
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Affiliation(s)
- Alessia Fornoni
- Peggy and Harold Katz Family Drug Discovery Center, Division of Nephrology and Hypertension, University of Miami Miller School of Medicine, 1580 North West 10th Avenue, Miami, FL 33136, USA
| | - Sandra Merscher
- Peggy and Harold Katz Family Drug Discovery Center, Division of Nephrology and Hypertension, University of Miami Miller School of Medicine, 1580 North West 10th Avenue, Miami, FL 33136, USA
| | - Jeffrey B Kopp
- Kidney Disease Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, 10 Center Drive, 3N116 Bethesda, MD 20892-1268, USA
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28
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Guzman J, Jauregui AN, Merscher-Gomez S, Maiguel D, Muresan C, Mitrofanova A, Diez-Sampedro A, Szust J, Yoo TH, Villarreal R, Pedigo C, Molano RD, Johnson K, Kahn B, Hartleben B, Huber TB, Saha J, Burke GW, Abel ED, Brosius FC, Fornoni A. Podocyte-specific GLUT4-deficient mice have fewer and larger podocytes and are protected from diabetic nephropathy. Diabetes 2014; 63:701-14. [PMID: 24101677 PMCID: PMC3900538 DOI: 10.2337/db13-0752] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Podocytes are a major component of the glomerular filtration barrier, and their ability to sense insulin is essential to prevent proteinuria. Here we identify the insulin downstream effector GLUT4 as a key modulator of podocyte function in diabetic nephropathy (DN). Mice with a podocyte-specific deletion of GLUT4 (G4 KO) did not develop albuminuria despite having larger and fewer podocytes than wild-type (WT) mice. Glomeruli from G4 KO mice were protected from diabetes-induced hypertrophy, mesangial expansion, and albuminuria and failed to activate the mammalian target of rapamycin (mTOR) pathway. In order to investigate whether the protection observed in G4 KO mice was due to the failure to activate mTOR, we used three independent in vivo experiments. G4 KO mice did not develop lipopolysaccharide-induced albuminuria, which requires mTOR activation. On the contrary, G4 KO mice as well as WT mice treated with the mTOR inhibitor rapamycin developed worse adriamycin-induced nephropathy than WT mice, consistent with the fact that adriamycin toxicity is augmented by mTOR inhibition. In summary, GLUT4 deficiency in podocytes affects podocyte nutrient sensing, results in fewer and larger cells, and protects mice from the development of DN. This is the first evidence that podocyte hypertrophy concomitant with podocytopenia may be associated with protection from proteinuria.
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Affiliation(s)
- Johanna Guzman
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
| | - Alexandra N. Jauregui
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
| | - Sandra Merscher-Gomez
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
| | - Dony Maiguel
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
| | - Cristina Muresan
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
| | - Alla Mitrofanova
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
| | - Ana Diez-Sampedro
- Department of Physiology, Miller School of Medicine, University of Miami, Miami, FL
| | - Joel Szust
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
| | - Tae-Hyun Yoo
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
- Department of Surgery, Miller School of Medicine, University of Miami, Miami, FL
| | - Rodrigo Villarreal
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
| | - Christopher Pedigo
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
| | - R. Damaris Molano
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
| | - Kevin Johnson
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
| | - Barbara Kahn
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | | | - Tobias B. Huber
- Division of Nephrology, Freiburg University, Freiburg, Germany
| | - Jharna Saha
- Division of Nephrology, University of Michigan, Ann Arbor, MI
| | - George W. Burke
- Department of Surgery, Miller School of Medicine, University of Miami, Miami, FL
| | - E. Dale Abel
- Division of Endocrinology, Metabolism and Diabetes and Program in Molecular Medicine, University of Utah, Salt Lake City, UT
| | | | - Alessia Fornoni
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
- Department of Medicine, Division of Nephrology and Hypertension, Miller School of Medicine, University of Miami, Miami, FL
- Corresponding author: Alessia Fornoni,
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30
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Prevalence and factors related to urinary albumin excretion in obese youths. J Hypertens 2013; 31:2230-6; discussion 2236. [DOI: 10.1097/hjh.0b013e328364bcbf] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Kebapci N, Uslu S, Ozcelik E. Metabolic Syndrome Is a Risk Factor for the Development of Chronic Renal Disease. Ren Fail 2013; 35:460-5. [DOI: 10.3109/0886022x.2013.774680] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
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De Cosmo S, Menzaghi C, Prudente S, Trischitta V. Role of insulin resistance in kidney dysfunction: insights into the mechanism and epidemiological evidence. Nephrol Dial Transplant 2012; 28:29-36. [PMID: 23048172 DOI: 10.1093/ndt/gfs290] [Citation(s) in RCA: 117] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Several lines of evidence suggest a pathogenic role of insulin resistance on kidney dysfunction. Potential mechanisms are mostly due to the effect of single abnormalities related to insulin resistance and clustering into the metabolic syndrome. Hyperinsulinemia, which is inevitably associated to insulin resistance in non diabetic states, also appears to play a role on kidney function by inducing glomerular hyperfiltration and increased vascular permeability. More recently, adipocytokine which are linked to insulin resistance, low grade inflammation, endothelial dysfunction and vascular damage have been proposed as additional molecules able to modulate kidney function. In addition, recent evidences point also to a role of insulin resistance at the level of the podocyte, an important player in early phases of diabetic kidney damage, thus suggesting a new mechanism through which a reduction of insulin action can affect kidney function. In fact, mouse models not expressing the podocyte insulin receptor develop podocytes apoptosis, effacement of its foot processes along with thickening of the glomerular basement membrane, increased glomerulosclerosis and albuminuria. A great number of epidemiological studies have repeatedly reported the association between insulin resistance and kidney dysfunction in both non diabetic and diabetic subjects. Among these, studies addressing the impact of insulin resistance genes on kidney dysfunction have played the important role to help establish a cause-effect relationship between these two traits. Finally, numerous independent intervention studies have shown that a favourable modulation of insulin resistance has a positive effect also on urinary albumin and total protein excretion. In conclusion, several data of different nature consistently support the role of insulin resistance and related abnormalities on kidney dysfunction. Intervention trials designed to investigate whether treating insulin resistance ameliorates also hard renal end-points are both timely and needed.
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Affiliation(s)
- S De Cosmo
- Unit of Endocrinology, IRCSS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
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Piché ME, Weisnagel SJ, Corneau L, Nadeau A, Bergeron J, Lemieux S. The WHO and NCEP/ATPIII Definitions of the Metabolic Syndrome in Postmenopausal Women: Are They So Different? Metab Syndr Relat Disord 2012; 4:17-27. [PMID: 18370766 DOI: 10.1089/met.2006.4.17] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The aim of this study was to examine the metabolic risk profile in postmenopausal women characterized by either the metabolic syndrome (MS) as defined by the World Health Organization (WHO) or the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATPIII). METHODS One hundred and eight postmenopausal women (56.9 +/- 4.2 years; 28.5 +/- 5.9 kg/m(2)) were examined. Each underwent an oral glucose tolerance test, an euglycemic-hyperinsulinemic clamp, an assessment of body fat distribution by computed tomography, a complete plasma lipid-lipoprotein profile, and standard measurements of inflammatory markers. RESULTS The prevalence of the MS-WHO was 29.6% in our women. Type 2 diabetes was found in 28.1% of women with the MS-WHO. Thirty-one percent of women had the MS-ATP, from which 36.4% had type 2 diabetes. Among the 32 women identified as having MS-WHO, 25 (78.1 %) were also identified as having the MS-ATP. On the other hand, among the 34 women identified as having MS-ATP, 24 (70.0 %) also had MS-WHO (kappa = 0.60). When we subdivided our sample of women as having either isolated MS-WHO, isolated MS-ATP, or combined MS-WHO and MS-ATP, we observed a more deteriorated metabolic risk profile (higher values for visceral adipose tissue, 2-h plasma glucose, and lower HDL-cholesterol concentrations) in women characterized by isolated MS-ATP compared to women with isolated MS-WHO. CONCLUSIONS These results suggest that, in postmenopausal women, the concordance in the identification of subjects with the MS using each of the proposed definitions is only moderate.
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Affiliation(s)
- Marie-Eve Piché
- Institute of Nutraceuticals and Functional Foods, Laval University, Québec (Québec), Canada., Lipid Research Center, CHUL Research Center, Québec (Québec), Canada
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Sutherland JP, McKinley B, Eckel RH. The metabolic syndrome and inflammation. Metab Syndr Relat Disord 2012; 2:82-104. [PMID: 18370640 DOI: 10.1089/met.2004.2.82] [Citation(s) in RCA: 145] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The metabolic syndrome (MS) is a clustering of cardiovascular risk factors, with insulin resistance as a major feature. This syndrome has been variously defined, but generally consists of 3 or more of the following components: hyperglycemia, hypertension, hypertriglyceridemia, low HDL, and increased abdominal circumference and/or BMI at >30 kg/m(2). The WHO criteria require the presence of insulin resistance to make the diagnosis. The current review focuses particularly on the association of the MS and the proinflammatory state as well as treatment options to prevent the development of coronary heart disease (CHD). Chronic inflammation is frequently associated with the MS. Inflammatory markers that have been associated with MS include hs-CRP, TNF-alpha, fibrinogen, and IL-6, among others. The link between inflammation and the MS is not fully understood. One postulated mechanism is that these cytokines are released into the circulation by adipose tissue, stimulating hepatic CRP production. The prothrombotic molecule PAI-1 is also increased in the MS. Adiponectin, produced exclusively by adipocytes, is decreased in obesity. The association of these proinflammatory and prothrombotic markers with the MS is discussed in detail. The general goals of treatment of the MS are prevention of CHD events and diabetes if not already present. The approach to treatment of those with the MS should include lifestyle changes, including weight loss and exercise as well as appropriate pharmacological therapies. Certain medications, which may be used in persons with MS, have been shown to have beneficial effects on clinical outcome and/or anti-inflammatory effects.
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Chadban S, Howell M, Twigg S, Thomas M, Jerums G, Cass A, Campbell D, Nicholls K, Tong A, Mangos G, Stack A, MacIsaac RJ, Girgis S, Colagiuri R, Colagiuri S, Craig J. The CARI guidelines. Prevention and management of chronic kidney disease in type 2 diabetes. Nephrology (Carlton) 2012; 15 Suppl 1:S162-94. [PMID: 20591029 DOI: 10.1111/j.1440-1797.2010.01240.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Diez-Sampedro A, Lenz O, Fornoni A. Podocytopathy in diabetes: a metabolic and endocrine disorder. Am J Kidney Dis 2011; 58:637-46. [PMID: 21719174 DOI: 10.1053/j.ajkd.2011.03.035] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2010] [Accepted: 03/04/2011] [Indexed: 12/17/2022]
Abstract
Diabetic nephropathy (DN) represents a major public health cost. Tight glycemic and blood pressure control can dramatically slow, but not stop, the progression of the disease, and a large number of patients progress toward end-stage renal disease despite currently available interventions. An early and key event in the development of DN is loss of podocyte function (or glomerular visceral epithelial cells) from the kidney glomerulus, where they contribute to the integrity of the glomerular filtration barrier. Recent evidence suggests that podocytes can be the direct target of circulating hormones, lipids, and adipokines that are affected in diabetes. We review the clinical and experimental evidence implicating novel endocrine and metabolic pathways in the pathogenesis of podocyte dysfunction and the development of DN.
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Affiliation(s)
- Ana Diez-Sampedro
- Department of Physiology and Biophysics, University of Miami Miller School of Medicine, FL, USA
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37
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Reaven GM. Insulin Resistance, Compensatory Hyperinsulinemia, and Coronary Heart Disease: Syndrome X Revisited. Compr Physiol 2011. [DOI: 10.1002/cphy.cp070238] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Carpena MP, Rados DV, Sortica DA, Souza BMD, Reis AF, Canani LH, Crispim D. Genetics of diabetic nephropathy. ACTA ACUST UNITED AC 2010; 54:253-61. [PMID: 20520954 DOI: 10.1590/s0004-27302010000300002] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2009] [Accepted: 02/26/2010] [Indexed: 01/08/2023]
Abstract
The increasing prevalence of diabetes mellitus has led to a growing number of chronic complications including diabetic nephropathy (DN). In addition to its high prevalence, DN is associated with high morbidity and mortality especially due to cardiovascular diseases. It is well established that genetic factors play a role in the pathogenesis of DN and genetically susceptible individuals can develop it after being exposed to environmental factors. DN is probably a complex, polygenic disease. Two main strategies have been used to identify genes associated to DN: analysis of candidate genes, and more recently genome-wide scan. Great efforts have been made to identify these main genes, but results are still inconsistent with different genes associated to a small effect in specific populations. The identification of the main genes would allow the detection of those individuals at high risk for DN and better understanding of its pathophysiology as well.
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Yoshioka K, Yoshida T, Kogure A, Takakura Y, Umekawa T, Toda H. Association study of fatty acid binding protein 2 gene polymorphism for diabetic nephropathy in Japanese patients with type 2 diabetes. Diabetes Metab Syndr 2010. [DOI: 10.1016/j.dsx.2010.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Role of altered insulin signaling pathways in the pathogenesis of podocyte malfunction and microalbuminuria. Curr Opin Nephrol Hypertens 2009; 18:539-45. [PMID: 19724224 DOI: 10.1097/mnh.0b013e32832f7002] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
PURPOSE OF REVIEW In diabetic nephropathy, insulin resistance and hyperinsulinemia correlate with the development of albuminuria. The possibility that altered insulin signaling in glomerular cells and particularly podocytes contributes to the development of diabetic nephropathy will be discussed. RECENT FINDINGS Whereas normal podocytes take up glucose in response to insulin, diabetic podocytes become insulin resistant in experimental diabetic nephropathy prior to the development of significant albuminuria. Both clinical and experimental data suggest that insulin sensitizers may be renoprotective independent of their systemic effects on the metabolic control of diabetes. SUMMARY We will review the clinical and experimental evidence that altered insulin signaling correlates with the development of diabetic nephropathy in both type 1 and type 2 diabetes, and that insulin sensitizers may be superior to other hypoglycemic agents in the prevention of diabetic nephropathy. We will then review potential mechanisms by which altered podocyte insulin signaling may contribute to the development of diabetic nephropathy. Understanding the role of podocytes in glucose metabolism is important because it may lead to the discovery of novel pathogenetic mechanisms of diabetic nephropathy, it may affect current strategies for prevention and treatment of diabetic nephropathy, and it may allow the identification of novel therapeutic targets.
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Lennon R, Welsh G, Singh A, Satchell S, Coward R, Tavaré J, Mathieson P, Saleem M. Rosiglitazone enhances glucose uptake in glomerular podocytes using the glucose transporter GLUT1. Diabetologia 2009; 52:1944-52. [PMID: 19533082 PMCID: PMC7614273 DOI: 10.1007/s00125-009-1423-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2009] [Accepted: 05/14/2009] [Indexed: 11/26/2022]
Abstract
AIMS/HYPOTHESIS Peroxisome proliferator-activated receptor (PPAR) gamma agonists are used increasingly in the treatment of type 2 diabetes. In the context of renal disease, PPARgamma agonists reduce microalbuminuria in diabetic nephropathy; however, the mechanisms underlying this effect are unknown. Glomerular podocytes are newly characterised insulin-sensitive cells and there is good evidence that they are targeted in diabetic nephropathy. In this study we investigated the functional and molecular effects of the PPARgamma agonist rosiglitazone on human podocytes. METHODS Conditionally immortalised human podocytes were cultured with rosiglitazone and functional effects were measured with glucose-uptake assays. The effect of rosiglitazone on glucose uptake was also measured in 3T3-L1 adipocytes, nephrin-deficient podocytes, human glomerular endothelial cells, proximal tubular cells and podocytes treated with the NEFA palmitate. The role of the glucose transporter GLUT1 was investigated with immunofluorescence and small interfering RNA knockdown and the plasma membrane expression of GLUT1 was determined with bis-mannose photolabelling. RESULTS Rosiglitazone significantly increased glucose uptake in wild-type podocytes and this was associated with translocation of GLUT1 to the plasma membrane. This effect was blocked with GLUT1 small interfering RNA. Nephrin-deficient podocytes, glomerular endothelial cells and proximal tubular cells did not increase glucose uptake in response to either insulin or rosiglitazone. Furthermore, rosiglitazone significantly increased basal and insulin-stimulated glucose uptake when podocytes were treated with the NEFA palmitate. CONCLUSIONS/INTERPRETATION In conclusion, rosiglitazone has a direct and protective effect on glucose uptake in wild-type human podocytes. This represents a novel mechanism by which PPARgamma agonists may improve podocyte function in diabetic nephropathy.
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Affiliation(s)
- R. Lennon
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - G.I. Welsh
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - A. Singh
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - S.C. Satchell
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - R.J. Coward
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - J.M. Tavaré
- Department of Biochemistry, University of Bristol, Bristol, UK
| | - P.W. Mathieson
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - M.A. Saleem
- Academic and Children’s Renal Unit, Paul O’Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
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Sarasua SM, Mueller P, Kathman S, Campagna D, Uddin MS, White MC. Confirming the Utility of Four Kidney Biomarker Tests in a Longitudinal Follow-Up Study. Ren Fail 2009; 25:797-817. [PMID: 14575288 DOI: 10.1081/jdi-120024295] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
In this follow-up study, 526 persons were followed for almost 5 years to assess the reversibility and predictive value of four kidney biomarkers in a field epidemiology setting. This study examined (a) whether elevations in urinary albumin, N-acetyl-beta-D-glucosaminidase, retinol-binding protein, and alanine aminopeptidase remained elevated at follow-up and (b) whether these initial elevations were predictive of kidney disease (as measured by markers of kidney dysfunction: serum creatinine, serum cystatin C, creatinine clearance, and urine osmolality) at follow-up. Study participants were 8-76 years of age at baseline and were followed for an average of 4.5 years. Approximately 50% of adults who had an elevated biomarker did not have an elevation at followup. Youths with elevated biomarkers at baseline, but who completed adolescence by the time of the follow-up, no longer had any elevations in biomarkers at follow-up. Adult participants who had elevated biomarkers and selected health conditions at baseline (diabetes and, to a lesser extent, heart disease, hypertension, gout, and urinary tract disease) were more likely to show early indicators of kidney impairment at follow-up. Participants with these health conditions and normal kidney biomarker values at baseline had kidney test results at follow-up that were similar to results of study participants who did not have these health conditions at baseline. The presence or absence of elevated biomarkers at baseline among generally healthy participants was not associated with the development of early indicators of kidney impairment at follow-up. This longitudinal study confirmed the utility of these four kidney biomarker tests as markers of preclinical organ dysfunction among adults with certain preexisting medical conditions.
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Affiliation(s)
- Sara M Sarasua
- Agency for Toxic Substances and Disease Registry, Division of Health Studies, Atlanta, Georgia 30329, USA
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Lennon R, Pons D, Sabin MA, Wei C, Shield JP, Coward RJ, Tavaré JM, Mathieson PW, Saleem MA, Welsh GI. Saturated fatty acids induce insulin resistance in human podocytes: implications for diabetic nephropathy. Nephrol Dial Transplant 2009; 24:3288-96. [PMID: 19556298 PMCID: PMC7614380 DOI: 10.1093/ndt/gfp302] [Citation(s) in RCA: 116] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Cellular insulin resistance is the hallmark of type 2 diabetes and predominantly affects adipose and muscle cells. The saturated free fatty acid palmitate is elevated in insulin-resistant states and may directly contribute to cellular insulin resistance. A spectrum of renal disease is associated with increased markers of insulin resistance, although direct causal mechanisms are not known. In the kidney, glomerular podocytes are novel insulin-sensitive cells that have the ability to rapidly transport glucose. In this study, we tested the hypothesis that palmitate would induce insulin resistance in podocytes. METHODS Conditionally immortalized human podocytes were cultured for up to 24 h with 375-750 muM palmitate. Functional effects on glucose uptake and ceramide production were measured. Gene expression was investigated using a focused gene array, and protein signalling and trafficking were studied with Western blotting and immunofluorescence. RESULTS We found that palmitate blocked insulin-stimulated glucose uptake in human podocytes. This was associated with increased ceramide production, and use of the ceramide inhibitors myriocin and fumonisin B1 partially recovered the insulin sensitivity. At the level of transcription, palmitate downregulated genes associated with several pathways involved in insulin signalling. At the protein level, phosphorylation of the insulin receptor, IRS1 and PKB was reduced and there was impaired translocation of GLUT4 to the cell surface. CONCLUSION This is the first study to demonstrate a direct effect of saturated fatty acids on podocyte function. These findings may represent a novel link between systemic insulin resistance and the development of nephropathy.
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Affiliation(s)
- Rachel Lennon
- Academic and Children's, Renal Unit, Paul O'Gorman Lifeline Centre, University of Bristol, Southmead Hospital, Bristol BS10, UK
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Esteghamati A, Ashraf H, Nakhjavani M, Najafian B, Hamidi S, Abbasi M. Insulin resistance is an independent correlate of increased urine albumin excretion: a cross-sectional study in Iranian Type 2 diabetic patients. Diabet Med 2009; 26:177-81. [PMID: 19236623 DOI: 10.1111/j.1464-5491.2008.02653.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS To assess the association of insulin resistance with increased urinary albumin excretion (UAE) in a cohort of Iranian Type 2 diabetic patients. METHODS Three hundred and sixty-one men and 472 women with Type 2 diabetes were enrolled from three different outpatient clinics (Tehran, Iran) during the period 2005-2008. Patients with obstructive uropathy, severe heart failure, liver disease, cancer, autoimmune disease and macroalbuminuria were not included. Microalbuminuria (MA; defined as UAE >or= 30 mg/day) was found in 242 (29.1%) patients; 591 (70.9%) subjects had normoalbuminuria (UAE < 30 mg/day). Insulin resistance was assessed using homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS HOMA-IR index values were higher in subjects with MA than those with normoalbuminuria (P < 0.00001). Adjusted values (for age, sex and duration of diabetes) of UAE and HOMA-IR were 11.81 +/- 7.51 (mg/day) and 3.30 +/- 2.21 in normoalbuminuric and 75.36 +/- 55.57 (mg/day) and 4.98 +/- 3.22 in the MA group, respectively (P < 0.00001 for all). Multiple regression analysis showed that UAE was predicted by HOMA-IR, independently of age, duration of diagnosed diabetes, triglycerides, waist circumference, metabolic control, blood pressure and related treatments (P < 0.00001). When patients were categorized into quartiles of HOMA-IR, those of the fourth quartile (i.e. the most insulin resistant) were at a higher risk of increased UAE than other quartiles [odds ratio (OR) 3.7 (95% confidence intervals 2.7-6.2)]. CONCLUSIONS In Iranian Type 2 diabetic patients, albuminuria was strongly associated with insulin resistance. HOMA-IR is an independent predictor of UAE.
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Affiliation(s)
- A Esteghamati
- Department of Endocrinology, Endocrinology and Metabolism Research Center, Vali-asr Hospital, Tehran University of Medical Sciences/University of Tehran, Tehran, Iran.
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Senior PA. Diabetic nephropathy, chronic kidney disease and metabolic syndrome in Type 2 diabetes: answers or more questions? Diabet Med 2008; 25:1377-9. [PMID: 19046234 DOI: 10.1111/j.1464-5491.2008.02624.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Bianchi C, Penno G, Daniele G, Russo E, Giovannitti MG, Del Prato S, Miccoli R. The metabolic syndrome is related to albuminuria in Type 2 diabetes. Diabet Med 2008; 25:1412-8. [PMID: 19046239 DOI: 10.1111/j.1464-5491.2008.02603.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIMS To determine the relationships between metabolic syndrome (MetS), diabetic nephropathy (DN) and renal function in Type 2 diabetes. METHODS In a clinic-based cohort of 1314 Type 2 diabetic patients (58% male; age 62 +/- 10 years), we analysed MetS, detected DN and estimated glomerular filtration rate (eGFR). RESULTS Prevalence of both microalbuminuria and macroalbuminuria were higher in subjects with MetS than in those without. Prevalence of DN (microalbuminuria and macroalbuminuria) increased with the number of MetS components. eGFR was lower in subjects with MetS than in those without (87 +/- 23 vs. 92 +/- 20 ml/min per 1.73 m2; P < 0.001). The lowest eGFR values were found in those with four or more components of the MetS. Prevalence of low eGFR increased with the stage of DN and was affected by MetS only in normoalbuminuric patients. MetS was independently associated with DN, also after adjustment for confounders [odds ratio (OR) 2.82, confidence interval (CI) 1.93, 4.11] and the presence of low eGFR in the model (OR 2.74, CI 1.87, 4.01). Similarly, MetS was a predictor of low eGFR (OR 1.93, CI 1.11, 3.36), but after adjustment for DN, the association was lost. Finally, MetS per se was independently associated with DN, but not with low eGFR after adjustment for all of the individual components of the MetS. CONCLUSIONS This study suggests a close and independent association between MetS and renal impairment. However, it is unclear whether and to what extent treating MetS by an intensive multifactorial therapeutic approach will prevent or delay progression to renal failure.
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Affiliation(s)
- C Bianchi
- Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
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Inhibition of C-jun N-terminal kinase improves insulin sensitivity but worsens albuminuria in experimental diabetes. Kidney Int 2008; 75:381-8. [PMID: 18971923 DOI: 10.1038/ki.2008.559] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
C-jun N-terminal kinase (JNK) regulates both the development of insulin resistance and inflammation. Podocytes of the widely used db/db mouse model of diabetic nephropathy lose their ability to respond to insulin as albuminuria develops, in comparison to control db/+ mice. Here we tested whether JNK inhibition or its gene deletion would prevent albuminuria in experimental diabetes. Phosphorylated/total JNK was significantly increased in vivo in glomeruli of db/db compared to db/+ mice. Treatment of podocytes isolated from these two strains of mice with tumor necrosis factor-alpha caused greater phosphorylation of JNK in those obtained from diabetic animals. When db/db mice were treated with a cell-permeable TAT-JNK inhibitor peptide, their insulin sensitivity and glycemia significantly improved compared to controls. We induced diabetes in JNK1 knockout mice with streptozotocin and found that they had significantly better insulin sensitivity compared to diabetic wild-type or JNK2 knockout mice. Albuminuria was, however, worse in all mice treated with the JNK inhibitor and in diabetic JNK2 knockout mice compared to controls. Nephrin expression was also reduced in JNK inhibitor-treated mice compared to controls. A similar degree of mesangial expansion was found in all diabetic mice. Our study shows that targeting JNK to improve systemic insulin sensitivity does not necessarily prevent diabetic nephropathy.
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Novel metabolic risk factors for incident heart failure and their relationship with obesity: the MESA (Multi-Ethnic Study of Atherosclerosis) study. J Am Coll Cardiol 2008; 51:1775-83. [PMID: 18452784 DOI: 10.1016/j.jacc.2007.12.048] [Citation(s) in RCA: 268] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2007] [Revised: 12/17/2007] [Accepted: 12/19/2007] [Indexed: 10/22/2022]
Abstract
OBJECTIVES The objectives of this study were to determine the associations of the metabolic syndrome, inflammatory markers, and insulin resistance with incident congestive heart failure (CHF), beyond established risk factors, and to examine whether these risk factors may provide the link between obesity and CHF. BACKGROUND Recently, increasing interest has emerged on the potential role of novel risk factors such as systemic inflammation, insulin resistance, and albuminuria in the pathophysiology of CHF and their relationship with obesity. METHODS The MESA (Multi-Ethnic Study of Atherosclerosis) study is a community-based multicenter cohort study of 6,814 participants (age 45 to 84 years, 3,601 women) of 4 ethnicities: Caucasians, African Americans, Hispanics, and Chinese Americans. Participants were recruited between 2000 and 2002 from 6 U.S. communities. Median follow-up time was 4 years. Participants with history of symptomatic cardiovascular disease were excluded. Cox proportional hazards models were used to analyze the associations of the metabolic syndrome, inflammatory markers, insulin resistance, and albuminuria with incident CHF, independent of established risk factors (age, gender, hypertension, diabetes mellitus, left ventricular hypertrophy, obesity, serum total cholesterol, and smoking), an interim myocardial infarction, and baseline magnetic resonance imaging parameters of left ventricular structure and function. RESULTS A total of 79 participants developed CHF during follow-up, and 26 participants (32.9%) had a myocardial infarction prior to CHF and 65% of the cases had CHF with preserved function (left ventricular ejection fraction >or=40%). In multivariable analyses, serum interleukin-6 (hazard ratio [HR] for 1 standard deviation 1.50, 95% confidence interval [CI] 1.10 to 2.03) or C-reactive protein (HR for 1 standard deviation 1.38; 95% CI 1.01 to 1.86) and macroalbuminuria (HR 4.31, 95% CI 1.58 to 11.76) were predictors of CHF, independent of obesity and the other established risk factors. Although obesity was significantly associated with incident CHF, this association was no longer significant after adding inflammatory markers (interleukin-6 or C-reactive protein) to the model. CONCLUSIONS Inflammatory markers and albuminuria are independent predictors of CHF. The association of obesity and CHF may be related to pathophysiologic pathways associated with inflammation.
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José Chillarón J, Goday A, Pedro-Botet J. Síndrome metabólico, diabetes mellitus tipo 1 y resistencia a la insulina. Med Clin (Barc) 2008; 130:466-70. [DOI: 10.1157/13118111] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Bianchi C, Penno G, Malloggi L, Barontini R, Corfini M, Giovannitti MG, Di Cianni G, Del Prato S, Miccoli R. Non-traditional markers of atherosclerosis potentiate the risk of coronary heart disease in patients with type 2 diabetes and metabolic syndrome. Nutr Metab Cardiovasc Dis 2008; 18:31-38. [PMID: 17420118 DOI: 10.1016/j.numecd.2006.07.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2006] [Revised: 07/03/2006] [Accepted: 07/14/2006] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND AIMS The aims of this study were to establish the prevalence of metabolic syndrome (MS), in type 2 diabetes mellitus (DM), according to National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria, and to assess the association of MS with other cardiovascular (CV) risk factors in these patients. METHODS AND RESULTS A cross-sectional study was conducted in 1610 patients with type 2 DM. Glycated hemoglobin A1c (HbA1c), total cholesterol, low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), uric acid, fibrinogen, creatinine, and albumin/creatinine ratios were measured. The risk of coronary heart disease (CHD) was calculated using the UKPDS Risk Engine. Seventy percent of the diabetic population met the criteria for MS; central obesity and hypertension were the most common criteria. Subjects with MS had higher levels of HbA1c, LDL-C, non-HDL-C, uric acid, and fibrinogen compared to patients without MS. Similarly, microalbuminuria and a high triglyceride (Tg)/HDL-C ratio (a marker of small LDL-C) occurred more frequently in patients with MS. When patients with no history of CHD events were considered, mean CHD risk was greater in those with, than those without, MS. CONCLUSIONS MS is highly prevalent in type 2 DM and is commonly associated with non-traditional CV risk factors. The diagnosis of MS seems to confer additional CHD risk in patients with type 2 diabetes.
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Affiliation(s)
- Cristina Bianchi
- Department of Endocrinology and Metabolism, Section of Diabetes and Metabolic Disease, University of Pisa, Ospedale Cisanello, Via Paradisa 2, 56126 Pisa, Italy
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