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Du W, Wang X, Zhang D, Zuo X. Retrospective analysis on incidence and risk factors of post-transplant diabetes mellitus after lung transplantation and its association with clinical outcomes. Transpl Immunol 2024; 83:102008. [PMID: 38342328 DOI: 10.1016/j.trim.2024.102008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/30/2024] [Accepted: 02/03/2024] [Indexed: 02/13/2024]
Abstract
BACKGROUND Post-transplant diabetes mellitus (PTDM) is a common complication after transplantation. We aim to explore potential risk factors of PTDM and its association with outcomes after lung transplantation (LTx). METHODS A retrospective study was conducted in 100 patients who underwent LTx at our institution from 2017 to 2021. Patients' information was collected, and genotyping for single nucleotide polymorphisms known to potentially increase the risk of Type 2 DM was performed. Univariate and multivariate analyses were conducted to identify risk factors for PTDM. The primary outcome was the incidence of PTDM. Secondary outcomes were associations between PTDM and clinical outcomes following LTx. RESULTS Thirty-nine patients (39.0%) developed PTDM, while 10 patients (25.6%) recovered subsequently. The incidence of PTDM was associated with age > 45 (HR: 2.919, 95% CI [1.021-8.348]), pre-transplant HbA1c > 5.7% (HR: 2.344, 95% CI [1.201-4.573]), KCNJ11 rs5215 (HR: 2.090, 95% CI [1.050-4.162]) and tacrolimus concentration > 8 ng/mL in the first month (HR: 2.090, 95% CI [1.050-4.162]). Patients with PTDM experienced elevated fasting blood glucose levels (FBG) during the first month post-transplantation (p < 0.001), and required a longer duration for FBG to return to normal levels (p < 0.001). However, the presence of PTDM did not significantly impact renal function, incidence of infection episodes, chronic lung allograft dysfunction or mortality following LTx. CONCLUSION Advanced age, elevated HbA1c levels, KCNJ11 gene polymorphism, and early exposure to tacrolimus are all significant risk factors for PTDM following LTx. The clinical implications of these factors warrant attention.
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Affiliation(s)
- Wenwen Du
- Department of Pharmacy, China-Japan Friendship Hospital, Chaoyang District, Beijing, China
| | - Xiaoxing Wang
- Department of Pharmacy, China-Japan Friendship Hospital, Chaoyang District, Beijing, China
| | - Dan Zhang
- Department of Pharmacy, China-Japan Friendship Hospital, Chaoyang District, Beijing, China
| | - Xianbo Zuo
- Department of Pharmacy, China-Japan Friendship Hospital, Chaoyang District, Beijing, China; Department of Dermatology, China-Japan Friendship Hospital, Chaoyang District, Beijing, China.
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2
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Xu S, Jiang Z, Hu N. Association between Genetic Polymorphisms and Risk of Kidney Posttransplant Diabetes Mellitus: A Systematic Review and Meta-Analysis. Int J Clin Pract 2022; 2022:7140024. [PMID: 35685576 PMCID: PMC9159121 DOI: 10.1155/2022/7140024] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/27/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES The purpose of this study was to clarify the role of genetic factors on posttransplant diabetes mellitus (PTDM) risk. METHODS Relevant publications were systematically retrieved from PubMed, EMBASE, and the Cochrane Library up to December 2020. Data from eligible case-control and cohort studies were extracted for qualitative and quantitative analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between gene polymorphisms and PTDM in the quantitative meta-analysis. RESULTS A total of 43 eligible articles were identified, and 16 studies on 9 DNA variants from 8 genes were included in the meta-analysis. TCF7L2 rs7903146 was significantly associated with PTDM risk in 5 genetic models (OR (95% CI): allelic: 1.59 (1.17-2.16), P=0.003; dominant recessive: 1.62 (1.14, 2.31), P=0.007; recessive: 1.87 (1.18, 2.94), P=0.007; homozygote: 2.21 (1.23, 3.94), P=0.008; and heterozygote 1.50 (1.08, 2.10), P=0.017). KCNQ1 rs2237892 was significantly correlated with PTDM risk in 3 genetic models (allelic: 0.68 (0.58, 0.81), P < 0.001; dominant: 0.6 (049, 0.74), P < 0.001; and heterozygote: 0.61 (0.48, 0.76), P < 0.001). KCNJ11 rs5219 was significantly linked with PTDM in the recessive genetic model (1.59 (1.01, 2.50), P=0.047). No significant correlations of PTDM with TCF7L2 rs12255372, SLC30A8 rs13266634, PPARγ rs1801282, CDKN2A/B rs10811661, HHEX rs1111875, and IGF2BP2 rs4402960 polymorphisms were found. CONCLUSIONS The gene polymorphisms of TCF7L2 rs7903146, KCNQ1 rs2237892, and KCNJ11 rs5219 may predispose kidney transplant recipients to PTDM. Large sample size studies on diverse ethnic populations were warranted to confirm our findings.
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Affiliation(s)
- Shan Xu
- Department of Pharmacy, Changzhou No. 2 People's Hospital, The Affiliated Hospital of Nanjing Medical University, Changzhou, China
| | - Zhenwei Jiang
- Department of Pharmacy, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China
| | - Nan Hu
- Department of Pharmacy, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China
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3
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Khan MT, Hamid RB, Hameed B, Lal N. TCF7L2 rs7903146 Is Associated With Increased Risk of New-Onset Diabetes After Transplant: A Meta-analysis of Literature. Transplant Proc 2021; 53:2820-2825. [PMID: 34763884 DOI: 10.1016/j.transproceed.2021.09.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 09/22/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Single nucleotide polymorphisms may influence the risk of development of new-onset diabetes after transplant (NODAT), a post-transplant clinical complication that is often implicated in allograft rejection and mortality. We performed a meta-analysis of association between transcription factor 7-like-2 (TCF7L2) rs7903146 and risk of NODAT. METHODS A systematic search was conducted using PubMed and ScienceDirect electronic databases for studies published between January 2001 and January 2021. Case-control or cohort studies reporting association between NODAT (diagnosis based on American Diabetes Association criteria) and TCF7L2 rs7903146 were included. MetaGenyo was used for meta-analysis (random-effects model). Pooled odds ratios with 95% confidence intervals were reported to evaluate the strength of association. RESULTS Two reviewers independently screened for articles. A total of 6 case-control studies were included for full-text review and quantitative analysis after screening for eligibility. Genotypic distributions were in Hardy-Weinberg equilibrium for included studies. All articles reported statistically significant association of TCF7L2 rs7903146 for risk of NODAT except for 1 study. There was moderate heterogeneity among studies (I2 = 60.6%). Pooled analysis revealed 51% odds of developing NODAT with TCF7L2 rs7903146 T allele (allele contrast model: odds ratio, 1.51; 95% confidence interval, 1.13-2.02; P = .005). CONCLUSIONS The present meta-analysis demonstrated association between TCF7L2 variant rs7903146 and risk of developing NODAT. This finding suggest clinical implications for individuals undergoing kidney transplant.
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Affiliation(s)
- Muhammad Tassaduq Khan
- Renal Transplant Unit, National Institute of Solid Organ and Tissue Transplantation, Dow University of Health Sciences, Karachi, Pakistan.
| | - Rashid Bin Hamid
- Renal Transplant Unit, National Institute of Solid Organ and Tissue Transplantation, Dow University of Health Sciences, Karachi, Pakistan
| | - Beenish Hameed
- Department of Emergency Medicine, Shaheed Mohtarma Benazir Bhutto Trauma Center, Karachi, Pakistan
| | - Naranjan Lal
- Renal Transplant Unit, National Institute of Solid Organ and Tissue Transplantation, Dow University of Health Sciences, Karachi, Pakistan
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Abstract
This review focuses on the human pancreatic islet-including its structure, cell composition, development, function, and dysfunction. After providing a historical timeline of key discoveries about human islets over the past century, we describe new research approaches and technologies that are being used to study human islets and how these are providing insight into human islet physiology and pathophysiology. We also describe changes or adaptations in human islets in response to physiologic challenges such as pregnancy, aging, and insulin resistance and discuss islet changes in human diabetes of many forms. We outline current and future interventions being developed to protect, restore, or replace human islets. The review also highlights unresolved questions about human islets and proposes areas where additional research on human islets is needed.
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Affiliation(s)
- John T Walker
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Diane C Saunders
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Marcela Brissova
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Alvin C Powers
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
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5
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Bhat M, Usmani SE, Azhie A, Woo M. Metabolic Consequences of Solid Organ Transplantation. Endocr Rev 2021; 42:171-197. [PMID: 33247713 DOI: 10.1210/endrev/bnaa030] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Indexed: 12/12/2022]
Abstract
Metabolic complications affect over 50% of solid organ transplant recipients. These include posttransplant diabetes, nonalcoholic fatty liver disease, dyslipidemia, and obesity. Preexisting metabolic disease is further exacerbated with immunosuppression and posttransplant weight gain. Patients transition from a state of cachexia induced by end-organ disease to a pro-anabolic state after transplant due to weight gain, sedentary lifestyle, and suboptimal dietary habits in the setting of immunosuppression. Specific immunosuppressants have different metabolic effects, although all the foundation/maintenance immunosuppressants (calcineurin inhibitors, mTOR inhibitors) increase the risk of metabolic disease. In this comprehensive review, we summarize the emerging knowledge of the molecular pathogenesis of these different metabolic complications, and the potential genetic contribution (recipient +/- donor) to these conditions. These metabolic complications impact both graft and patient survival, particularly increasing the risk of cardiovascular and cancer-associated mortality. The current evidence for prevention and therapeutic management of posttransplant metabolic conditions is provided while highlighting gaps for future avenues in translational research.
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Affiliation(s)
- Mamatha Bhat
- Multi Organ Transplant program and Division of Gastroenterology & Hepatology, University Health Network, Ontario M5G 2N2, Department of Medicine, University of Toronto, Ontario, Canada.,Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Shirine E Usmani
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, University Health Network, Ontario, and Sinai Health System, Ontario, University of Toronto, Toronto, Ontario, Canada
| | - Amirhossein Azhie
- Multi Organ Transplant program and Division of Gastroenterology & Hepatology, University Health Network, Ontario M5G 2N2, Department of Medicine, University of Toronto, Ontario, Canada.,Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Minna Woo
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, University Health Network, Ontario, and Sinai Health System, Ontario, University of Toronto, Toronto, Ontario, Canada
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6
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Xia M, Yang H, Tong X, Xie H, Cui F, Shuang W. Risk factors for new-onset diabetes mellitus after kidney transplantation: A systematic review and meta-analysis. J Diabetes Investig 2021; 12:109-122. [PMID: 32506801 PMCID: PMC7779280 DOI: 10.1111/jdi.13317] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 05/20/2020] [Accepted: 06/02/2020] [Indexed: 12/15/2022] Open
Abstract
AIMS/INTRODUCTION To systematically review the risk factors for new-onset diabetes mellitus after kidney transplantation, and to provide a theoretical basis for the prevention and management of new-onset diabetes mellitus after kidney transplantation. MATERIALS AND METHODS We searched PubMed, Web of Science, Embase, the Cochrane Library databases and other databases for case-control studies related to risk factors for new-onset diabetes mellitus after kidney transplantation published between January 2005 and July 2019. A meta-analysis of data on risk factors for new-onset diabetes mellitus after kidney transplantation from the included studies was carried out. A narrative review of risk factors for new-onset diabetes mellitus after kidney transplantation was also carried out. RESULTS A total of 24 case-control studies were included in the meta-analysis, with a total of 7,140 patients. There were 1,598 patients with new-onset diabetes mellitus after kidney transplantation, and 5,542 patients without new-onset diabetes mellitus after kidney transplantation. The meta-analysis results showed that age, polycystic kidney disease, family history of diabetes, body mass index, acute rejection, tacrolimus use, hepatitis B virus infection, hepatitis C virus infection and hypertension were associated with new-onset diabetes mellitus after kidney transplantation, whereas sex, sirolimus use, cyclosporin A use, steroid use and cytomegalovirus infection were not associated with new-onset diabetes mellitus after kidney transplantation. CONCLUSIONS Older age, body mass index, family history of diabetes, tacrolimus use, history of hypertension, polycystic kidney disease, acute rejection, hepatitis B virus infection and hepatitis C virus infection are risk factors for new-onset diabetes mellitus after kidney transplantation. Therefore, the clinical implications of these factors warrant attention.
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Affiliation(s)
- Mancheng Xia
- First Clinical Medical CollegeShanxi Medical UniversityTaiyuanChina
| | - Haosen Yang
- Kidney Transplantation CenterShanxi Second People’s HospitalTaiyuanChina
| | - Xunan Tong
- Kidney Transplantation CenterShanxi Second People’s HospitalTaiyuanChina
| | - Hongjie Xie
- First Clinical Medical CollegeShanxi Medical UniversityTaiyuanChina
| | - Fan Cui
- First Clinical Medical CollegeShanxi Medical UniversityTaiyuanChina
| | - Weibing Shuang
- Department of UrologyThe First Hospital of Shanxi Medical UniversityTaiyuanChina
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7
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Lima C, Grden A, Skare T, Jaworski P, Nisihara R. Risk factors for new-onset diabetes mellitus after kidney transplantation (NODAT): a Brazilian single center study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2019; 62:597-601. [PMID: 30624499 PMCID: PMC10118672 DOI: 10.20945/2359-3997000000084] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2017] [Accepted: 12/13/2017] [Indexed: 11/23/2022]
Abstract
OBJECTIVES This study aims to verify the new-onset diabetes after kidney transplant (NODAT) incidence in recipients within 1 year after kidney transplantation from a single center in Southern Brazil and to assess the associated conditions. SUBJECTS AND METHODS A retrospective study of 258 post-renal transplant patients was performed. Demographic (gender, age, ethnic background) and clinical (origin of graft, associated infections, body mass index (BMI) at transplant time and 6 and 12 months after, causes of renal failure, and comorbidities) data were analyzed. All patients were on tacrolimus, mycophenolate mofetil, and prednisone treatment. Patients with and without NODAT were compared. RESULTS A NODAT incidence of 31.2% was noted 1 year post transplantation. In the univariate analysis, patients with NODAT were older (p = 0.001), mostly had African-American ethnic background (p = 0.02), and had renal failure secondary to high blood pressure (HBP) (p = 0.001). The group of patients with NODAT also had more incidence of post-transplant HBP (p = 0.01), heart failure (p = 0.02), and dyslipidemia (p = 0.001). Logistic regression showed that African-American ethnic background, post-transplant HBP, and dyslipidemia were independently associated with NODAT. CONCLUSION This study shows a NODAT incidence that is greater in patients with African-American ethnic background and that is associated with HBP and dyslipidemia.
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Affiliation(s)
- Camila Lima
- Universidade Evangélica, Departamento de Medicina, Curitiba, PR, Brasil
| | - Amanda Grden
- Universidade Evangélica, Departamento de Medicina, Curitiba, PR, Brasil
| | - Thelma Skare
- Universidade Evangélica, Departamento de Medicina, Curitiba, PR, Brasil
| | - Paulo Jaworski
- Universidade Evangélica, Departamento de Medicina, Curitiba, PR, Brasil
| | - Renato Nisihara
- Universidade Evangélica, Departamento de Medicina, Curitiba, PR, Brasil.,Universidade Positivo, Departamento de Medicina, Curitiba, PR, Brasil
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8
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Tron C, Lemaitre F, Verstuyft C, Petitcollin A, Verdier MC, Bellissant E. Pharmacogenetics of Membrane Transporters of Tacrolimus in Solid Organ Transplantation. Clin Pharmacokinet 2018; 58:593-613. [DOI: 10.1007/s40262-018-0717-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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9
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New-onset Diabetes Mellitus After Kidney Transplantation—A Paired Kidney Analysis. Transplant Proc 2018; 50:1781-1785. [DOI: 10.1016/j.transproceed.2018.02.119] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 02/06/2018] [Indexed: 12/14/2022]
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10
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Saigi-Morgui N, Quteineh L, Bochud PY, Crettol S, Kutalik Z, Mueller NJ, Binet I, Van Delden C, Steiger J, Mohacsi P, Dufour JF, Soccal PM, Pascual M, Eap CB. Genetic and clinic predictors of new onset diabetes mellitus after transplantation. THE PHARMACOGENOMICS JOURNAL 2017; 19:53-64. [PMID: 29282365 DOI: 10.1038/s41397-017-0001-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 08/02/2017] [Accepted: 09/18/2017] [Indexed: 01/01/2023]
Abstract
New Onset Diabetes after Transplantation (NODAT) is a frequent complication after solid organ transplantation, with higher incidence during the first year. Several clinical and genetic factors have been described as risk factors of Type 2 Diabetes (T2DM). Additionally, T2DM shares some genetic factors with NODAT. We investigated if three genetic risk scores (w-GRS) and clinical factors were associated with NODAT and how they predicted NODAT development 1 year after transplantation. In both main (n = 725) and replication (n = 156) samples the clinical risk score was significantly associated with NODAT (ORmain: 1.60 [1.36-1.90], p = 3.72*10-8 and ORreplication: 2.14 [1.39-3.41], p = 0.0008, respectively). Two w-GRS were significantly associated with NODAT in the main sample (ORw-GRS 2:1.09 [1.04-1.15], p = 0.001 and ORw-GRS 3:1.14 [1.01-1.29], p = 0.03) and a similar ORw-GRS 2 was found in the replication sample, although it did not reach significance probably due to a power issue. Despite the low OR of w-GRS on NODAT compared to clinical covariates, when integrating w-GRS 2 and w-GRS 3 in the clinical model, the Area under the Receiver Operating Characteristics curve (AUROC), specificity, sensitivity and accuracy were 0.69, 0.71, 0.58 and 0.68, respectively, with significant Likelihood Ratio test discrimination index (p-value 0.0004), performing better in NODAT discrimination than the clinical model alone. Twenty-five patients needed to be genotyped in order to detect one misclassified case that would have developed NODAT 1 year after transplantation if using only clinical covariates. To our knowledge, this is the first study extensively examining genetic risk scores contributing to NODAT development.
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Affiliation(s)
- Núria Saigi-Morgui
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Lina Quteineh
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Pierre-Yves Bochud
- Service of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Severine Crettol
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Zoltán Kutalik
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nicolas J Mueller
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital, Zurich, Switzerland
| | - Isabelle Binet
- Service of Nephrology and Transplantation Medicine, Kantonsspital, St Gallen, Switzerland
| | | | - Jürg Steiger
- Clinic of Transplantationimmunology and Neprhology, University Hospital, Basel, Switzerland
| | - Paul Mohacsi
- Swiss Cardiovascular Center Bern, University Hospital, Bern, Switzerland
| | | | - Paola M Soccal
- Service of Pulmonary Medicine, University Hospital, Geneva, Switzerland
| | - Manuel Pascual
- Transplant Center, Lausanne University Hospital, Lausanne, Switzerland
| | - Chin B Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland. .,School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland.
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11
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Guthoff M, Wagner R, Weichbrodt K, Nadalin S, Königsrainer A, Häring HU, Fritsche A, Heyne N. Dynamics of Glucose Metabolism After Kidney Transplantation. Kidney Blood Press Res 2017; 42:598-607. [PMID: 28930756 DOI: 10.1159/000481375] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 05/12/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Posttransplantation diabetes mellitus (PTDM) impacts patient and allograft survival after kidney transplantation. Prediabetes, which is an independent risk factor for PTDM, is modifiable also in a post-transplant setting. Understanding the risks and dynamics of impaired glucose metabolism after transplantation is a key component for targeted intervention. METHODS A retrospective chart analysis of all adult non-diabetic renal allograft recipients (n=251, 2007-2014) was performed. Longitudinal follow-up included fasting plasma glucose and HbA1c, as well as data on allograft function and immunosuppression at consecutive time points (months 3-6 to >5 years post transplantation). RESULTS Throughout follow-up, median prevalence of prediabetes and PTDM was 53.3 [52.4-55.7]% and 15.4 [15.0-16.5]%, respectively. Continuously high fluxes between states of glucose metabolism, with individual patients' state deteriorating or improving over time, resulted in a high number of incident patients even long after transplantation. The greatest number of patients shifted between normal glucose tolerance and prediabetes, followed by those between prediabetes and PTDM. CONCLUSION Prediabetes and PTDM are highly prevalent after kidney transplantation and incidences remain relevant throughout follow-up. Patient fluxes into and out of the prediabetic state show that glucose metabolism is highly dynamic after transplantation. This provides a continuous opportunity for intervention in an aim to reduce diabetes-associated complications.
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Affiliation(s)
- Martina Guthoff
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Robert Wagner
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Karoline Weichbrodt
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Tübingen, Germany
| | - Silvio Nadalin
- Dept. of General-, Visceral- and Transplant Surgery, University of Tübingen, Tübingen, Germany
| | - Alfred Königsrainer
- Dept. of General-, Visceral- and Transplant Surgery, University of Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Andreas Fritsche
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Nils Heyne
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Tübingen, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
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12
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Tarnowski M, Słuczanowska-Głabowska S, Pawlik A, Mazurek-Mochol M, Dembowska E. Genetic factors in pathogenesis of diabetes mellitus after kidney transplantation. Ther Clin Risk Manag 2017; 13:439-446. [PMID: 28435278 PMCID: PMC5388273 DOI: 10.2147/tcrm.s129327] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Posttransplant diabetes mellitus (PTDM) is one of the major metabolic complications after transplantation of solid organs including the kidney. This type of diabetes mellitus affects allograft survival, cardiovascular complications and overall patient survival. The modifiable risk factors that contribute to PTDM include obesity, some viral infections (eg, hepatitis C virus, cytomegalovirus) and especially immunosuppressive drugs including corticosteroids, tacrolimus, cyclosporine and sirolimus. Currently, predisposing genetic factors have been considered important in PTDM development. The commonly evaluated genetic determinants include genes encoding transcription factors, cytokines, chemokines, adipokines, ionic channels, glucose transporters, cytochrome P450 enzymes and other enzymes metabolizing drugs, drug transporters. Unfortunately, the results of studies are inconclusive and differ between populations. There is a need for large genome-wide association study to identify the genetic risk factors associated with PTDM development.
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Affiliation(s)
| | | | | | | | - Elżbieta Dembowska
- Department of Periodontology, Pomeranian Medical University, Szczecin, Poland
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13
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Pharmacogenetics of posttransplant diabetes mellitus. THE PHARMACOGENOMICS JOURNAL 2017; 17:209-221. [DOI: 10.1038/tpj.2017.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 12/04/2016] [Accepted: 01/09/2017] [Indexed: 02/08/2023]
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14
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15
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Kong Y, Sharma RB, Nwosu BU, Alonso LC. Islet biology, the CDKN2A/B locus and type 2 diabetes risk. Diabetologia 2016; 59:1579-93. [PMID: 27155872 PMCID: PMC4930689 DOI: 10.1007/s00125-016-3967-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 03/29/2016] [Indexed: 02/06/2023]
Abstract
Type 2 diabetes, fuelled by the obesity epidemic, is an escalating worldwide cause of personal hardship and public cost. Diabetes incidence increases with age, and many studies link the classic senescence and ageing protein p16(INK4A) to diabetes pathophysiology via pancreatic islet biology. Genome-wide association studies (GWASs) have unequivocally linked the CDKN2A/B locus, which encodes p16 inhibitor of cyclin-dependent kinase (p16(INK4A)) and three other gene products, p14 alternate reading frame (p14(ARF)), p15(INK4B) and antisense non-coding RNA in the INK4 locus (ANRIL), with human diabetes risk. However, the mechanism by which the CDKN2A/B locus influences diabetes risk remains uncertain. Here, we weigh the evidence that CDKN2A/B polymorphisms impact metabolic health via islet biology vs effects in other tissues. Structured in a bedside-to-bench-to-bedside approach, we begin with a summary of the evidence that the CDKN2A/B locus impacts diabetes risk and a brief review of the basic biology of CDKN2A/B gene products. The main emphasis of this work is an in-depth look at the nuanced roles that CDKN2A/B gene products and related proteins play in the regulation of beta cell mass, proliferation and insulin secretory function, as well as roles in other metabolic tissues. We finish with a synthesis of basic biology and clinical observations, incorporating human physiology data. We conclude that it is likely that the CDKN2A/B locus influences diabetes risk through both islet and non-islet mechanisms.
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Affiliation(s)
- Yahui Kong
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Rohit B Sharma
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Benjamin U Nwosu
- Division of Endocrinology, Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, USA
| | - Laura C Alonso
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
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Shivaswamy V, Boerner B, Larsen J. Post-Transplant Diabetes Mellitus: Causes, Treatment, and Impact on Outcomes. Endocr Rev 2016; 37:37-61. [PMID: 26650437 PMCID: PMC4740345 DOI: 10.1210/er.2015-1084] [Citation(s) in RCA: 197] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Post-transplant diabetes mellitus (PTDM) is a frequent consequence of solid organ transplantation. PTDM has been associated with greater mortality and increased infections in different transplant groups using different diagnostic criteria. An international consensus panel recommended a consistent set of guidelines in 2003 based on American Diabetes Association glucose criteria but did not exclude the immediate post-transplant hospitalization when many patients receive large doses of corticosteroids. Greater glucose monitoring during all hospitalizations has revealed significant glucose intolerance in the majority of recipients immediately after transplant. As a result, the international consensus panel reviewed its earlier guidelines and recommended delaying screening and diagnosis of PTDM until the recipient is on stable doses of immunosuppression after discharge from initial transplant hospitalization. The group cautioned that whereas hemoglobin A1C has been adopted as a diagnostic criterion by many, it is not reliable as the sole diabetes screening method during the first year after transplant. Risk factors for PTDM include many of the immunosuppressant medications themselves as well as those for type 2 diabetes. The provider managing diabetes and associated dyslipidemia and hypertension after transplant must be careful of the greater risk for drug-drug interactions and infections with immunosuppressant medications. Treatment goals and therapies must consider the greater risk for fluctuating and reduced kidney function, which can cause hypoglycemia. Research is actively focused on strategies to prevent PTDM, but until strategies are found, it is imperative that immunosuppression regimens are chosen based on their evidence to prolong graft survival, not to avoid PTDM.
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Affiliation(s)
- Vijay Shivaswamy
- Division of Diabetes, Endocrinology, and Metabolism (V.S., B.B., J.L.), Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska 68198; and VA Nebraska-Western Iowa Health Care System (V.S.), Omaha, Nebraska 68105
| | - Brian Boerner
- Division of Diabetes, Endocrinology, and Metabolism (V.S., B.B., J.L.), Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska 68198; and VA Nebraska-Western Iowa Health Care System (V.S.), Omaha, Nebraska 68105
| | - Jennifer Larsen
- Division of Diabetes, Endocrinology, and Metabolism (V.S., B.B., J.L.), Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska 68198; and VA Nebraska-Western Iowa Health Care System (V.S.), Omaha, Nebraska 68105
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Pouché L, Stojanova J, Marquet P, Picard N. New challenges and promises in solid organ transplantation pharmacogenetics: the genetic variability of proteins involved in the pharmacodynamics of immunosuppressive drugs. Pharmacogenomics 2016; 17:277-96. [PMID: 26799749 DOI: 10.2217/pgs.15.169] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Interindividual variability in immunosuppressive drug responses might be partly explained by genetic variants in proteins involved in the immune response or associated with IS pharmacodynamics. On a general basis, the pharmacogenetics of drug target proteins is less known and understood than that of proteins involved in drug disposition pathways. The aim of this review is to facilitate research related to the pharmacodynamics of the main immunosuppressive drugs used in solid organ transplantation. We elaborated a quality of evidence grading system based on a literature review and identified 'highly recommended', 'recommended' or 'potential' candidates for further research. It is likely that a number of additional rare variants might further explain drug response phenotypes in transplantation, and particularly the most severe ones. The advent of next-generation sequencing will help to identify those variants.
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Affiliation(s)
- Lucie Pouché
- Inserm, UMR 850, 2 Avenue Martin-Luther King, F-87042 Limoges, France.,CHU Limoges, Department of Pharmacology, Toxicology & Pharmacovigilance, 2 Avenue Martin-Luther King, F-87042 Limoges, France
| | - Jana Stojanova
- Laboratory of Chemical Carcinogenesis & Pharmacogenetics, University of Chile, Santiago, Chile
| | - Pierre Marquet
- Inserm, UMR 850, 2 Avenue Martin-Luther King, F-87042 Limoges, France.,CHU Limoges, Department of Pharmacology, Toxicology & Pharmacovigilance, 2 Avenue Martin-Luther King, F-87042 Limoges, France.,Univ. Limoges, Faculty of Medicine & Pharmacy, 2 rue du Dr Marcland, F-87025 Limoges, France.,FHU SUPORT, 87000 Limoges, France
| | - Nicolas Picard
- Inserm, UMR 850, 2 Avenue Martin-Luther King, F-87042 Limoges, France.,CHU Limoges, Department of Pharmacology, Toxicology & Pharmacovigilance, 2 Avenue Martin-Luther King, F-87042 Limoges, France.,Univ. Limoges, Faculty of Medicine & Pharmacy, 2 rue du Dr Marcland, F-87025 Limoges, France.,FHU SUPORT, 87000 Limoges, France
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Benson KA, Maxwell AP, McKnight AJ. A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation. PLoS One 2016; 11:e0147323. [PMID: 26789123 PMCID: PMC4720424 DOI: 10.1371/journal.pone.0147323] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 12/31/2015] [Indexed: 12/11/2022] Open
Abstract
PURPOSE New onset diabetes after transplantation (NODAT) is a serious complication following solid organ transplantation. There is a genetic contribution to NODAT and we have conducted comprehensive meta-analysis of available genetic data in kidney transplant populations. METHODS Relevant articles investigating the association between genetic markers and NODAT were identified by searching PubMed, Web of Science and Google Scholar. SNPs described in a minimum of three studies were included for analysis using a random effects model. The association between identified variants and NODAT was calculated at the per-study level to generate overall significance values and effect sizes. RESULTS Searching the literature returned 4,147 citations. Within the 36 eligible articles identified, 18 genetic variants from 12 genes were considered for analysis. Of these, three were significantly associated with NODAT by meta-analysis at the 5% level of significance; CDKAL1 rs10946398 p = 0.006 OR = 1.43, 95% CI = 1.11-1.85 (n = 696 individuals), KCNQ1 rs2237892 p = 0.007 OR = 1.43, 95% CI = 1.10-1.86 (n = 1,270 individuals), and TCF7L2 rs7903146 p = 0.01 OR = 1.41, 95% CI = 1.07-1.85 (n = 2,967 individuals). CONCLUSION Evaluating cumulative evidence for SNPs associated with NODAT in kidney transplant recipients has revealed three SNPs associated with NODAT. An adequately powered, dense genome-wide association study will provide more information using a carefully defined NODAT phenotype.
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Affiliation(s)
| | - Alexander Peter Maxwell
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
- Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom
| | - Amy Jayne McKnight
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
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Boloori A, Saghafian S, Chakkera HA, Cook CB. Characterization of Remitting and Relapsing Hyperglycemia in Post-Renal-Transplant Recipients. PLoS One 2015; 10:e0142363. [PMID: 26551468 PMCID: PMC4638338 DOI: 10.1371/journal.pone.0142363] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 10/21/2015] [Indexed: 01/08/2023] Open
Abstract
Background Hyperglycemia following solid organ transplant is common among patients without pre-existing diabetes mellitus (DM). Post-transplant hyperglycemia can occur once or multiple times, which if continued, causes new-onset diabetes after transplantation (NODAT). Objective To study if the first and recurrent incidence of hyperglycemia are affected differently by immunosuppressive regimens, demographic and medical-related risk factors, and inpatient hyperglycemic conditions (i.e., an emphasis on the time course of post-transplant complications). Methods We conducted a retrospective analysis of 407 patients who underwent kidney transplantation at Mayo Clinic Arizona. Among these, there were 292 patients with no signs of DM prior to transplant. For this category of patients, we evaluated the impact of (1) immunosuppressive drugs (e.g., tacrolimus, sirolimus, and steroid), (2) demographic and medical-related risk factors, and (3) inpatient hyperglycemic conditions on the first and recurrent incidence of hyperglycemia in one year post-transplant. We employed two versions of Cox regression analyses: (1) a time-dependent model to analyze the recurrent cases of hyperglycemia and (2) a time-independent model to analyze the first incidence of hyperglycemia. Results Age (P = 0.018), HDL cholesterol (P = 0.010), and the average trough level of tacrolimus (P<0.0001) are significant risk factors associated with the first incidence of hyperglycemia, while age (P<0.0001), non-White race (P = 0.002), BMI (P = 0.002), HDL cholesterol (P = 0.003), uric acid (P = 0.012), and using steroid (P = 0.007) are the significant risk factors for the recurrent cases of hyperglycemia. Discussion This study draws attention to the importance of analyzing the risk factors associated with a disease (specially a chronic one) with respect to both its first and recurrent incidence, as well as carefully differentiating these two perspectives: a fact that is currently overlooked in the literature.
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Affiliation(s)
- Alireza Boloori
- Department of Industrial Engineering, School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - Soroush Saghafian
- Harvard Kennedy School, Harvard University, Cambridge, Massachusetts, United States of America
- * E-mail:
| | - Harini A. Chakkera
- Division of Nephrology and Transplantation, Mayo Clinic School of Medicine, Scottsdale, Arizona, United States of America
| | - Curtiss B. Cook
- Division of Endocrinology, Mayo Clinic School of Medicine, Scottsdale, Arizona, United States of America
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Guthoff M, Vosseler D, Langanke J, Nadalin S, Königsrainer A, Häring HU, Fritsche A, Heyne N. Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach. PLoS One 2015; 10:e0134971. [PMID: 26398489 PMCID: PMC4580460 DOI: 10.1371/journal.pone.0134971] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 07/15/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification. METHODS All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped. RESULTS Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and-secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38-4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable. CONCLUSIONS The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome.
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Affiliation(s)
- Martina Guthoff
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
| | - Dorothea Vosseler
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
| | - Julia Langanke
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
| | - Silvio Nadalin
- Dept. of General-, Visceral- and Transplant Surgery, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany
| | - Alfred Königsrainer
- Dept. of General-, Visceral- and Transplant Surgery, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany
| | - Hans-Ulrich Häring
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
| | - Andreas Fritsche
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
| | - Nils Heyne
- Dept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany
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Khan IA, Vattam KK, Jahan P, Mukkavali KK, Hasan Q, Rao P. Correlation between KCNQ1 and KCNJ11 gene polymorphisms and type 2 and post-transplant diabetes mellitus in the Asian Indian population. Genes Dis 2015; 2:276-282. [PMID: 30258870 PMCID: PMC6150093 DOI: 10.1016/j.gendis.2015.02.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 02/24/2015] [Indexed: 12/18/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) and post-transplant diabetes mellitus (PTDM) share a common pathophysiology. However, diabetes mellitus is a complex disease, and T2DM and PTDM have different etiologies. T2DM is a metabolic disorder, characterized by persistent hyperglycemia, whereas PTDM is a condition of abnormal glucose tolerance, with variable onset after organ transplant. The KCNQ1 and KCNJ11 gene encode potassium channels, which mediate insulin secretion from pancreatic β-cells, and KCN gene mutations are correlated with the development of diabetes. However, no studies have been carried out to establish an association between KCNQ1 and KCNJ11 gene polymorphisms and T2DM and PTDM. Therefore, our study was aimed at the identification of the role of KCNQ1 and KCNJ11 gene polymorphisms associated with T2DM and the risk of developing PTDM in the Asian Indian population. We have carried out a case-control study including 250 patients with T2DM, 250 control subjects, 42 patients with PTDM and 98 subjects with non-PTDM. PCR-RFLP analysis was carried out following the isolation of genomic DNA from EDTA-blood samples. The results of the present study reveal that two single nucleotide polymorphisms (rs2283228 and rs5210, of the KCNQ1 and KCNJ11 genes, respectively) are associated with both T2DM and PTDM. The results of our study suggest a role of KCNQ1 and KCNJ11 gene variants in the increased risk of T2DM and PTDM in the Asian Indian population.
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Affiliation(s)
- Imran Ali Khan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Kiran Kumar Vattam
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
| | - Parveen Jahan
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | | | - Qurratulain Hasan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
| | - Pragna Rao
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
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Langsford D, Dwyer K. Dysglycemia after renal transplantation: Definition, pathogenesis, outcomes and implications for management. World J Diabetes 2015; 6:1132-51. [PMID: 26322159 PMCID: PMC4549664 DOI: 10.4239/wjd.v6.i10.1132] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2014] [Revised: 07/06/2015] [Accepted: 08/16/2015] [Indexed: 02/05/2023] Open
Abstract
New-onset diabetes after transplantation (NODAT) is major complication following renal transplantation. It commonly develops within 3-6 mo post-transplantation. The development of NODAT is associated with significant increase in risk of major cardiovascular events and cardiovascular death. Other dysglycemic states, such as impaired glucose tolerance are also associated with increasing risk of cardiovascular events. The pathogenesis of these dysglycemic states is complex. Older recipient age is a consistent major risk factor and the impact of calcineurin inhibitors and glucocorticoids has been well described. Glucocorticoids likely cause insulin resistance and calcineurin inhibitors likely cause β-cell toxicity. The impact of transplantation in incretin hormones remains to be clarified. The oral glucose tolerance test remains the best diagnostic test but other tests may be validated as screening tests. Possibly, NODAT can be prevented by administering insulin early in patients identified as high risk for NODAT. Once NODAT has been diagnosed altering immunosuppression may be acceptable, but creates the difficulty of balancing immunological with metabolic risk. With regard to hypoglycemic use, metformin may be the best option. Further research is needed to better understand the pathogenesis, identify high risk patients and to improve management options given the significant increased risk of major cardiovascular events and death.
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Khan IIA, Jahan P, Hasan Q, Rao P. Validation of the association of TCF7L2 and SLC30A8 gene polymorphisms with post-transplant diabetes mellitus in Asian Indian population. Intractable Rare Dis Res 2015; 4:87-92. [PMID: 25984427 PMCID: PMC4428192 DOI: 10.5582/irdr.2015.01008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Revised: 04/11/2015] [Accepted: 04/16/2015] [Indexed: 12/17/2022] Open
Abstract
The rs7903146 and rs13266634 polymorphisms in the TCF7L2 and SLC30A8 genes, respectively, have been reported to be associated with type 2 diabetes. However, little is known about the association of these polymorphisms with post-transplant diabetes mellitus (PTDM). To study this linkage, we determined a distribution of allele and genotype frequencies in Asian Indians. 42 PTDM and 98 non-PTDM subjects were recruited. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect for rs7903146 and rs13266634 polymorphisms. The clinical details and statistical analysis for PTDM and non-PTDM subjects were recorded. Our results observed higher frequencies of the minor alleles in rs7903146 and rs13266634 polymorphisms in the PTDM group compared to the non-PTDM subjects. The allele frequencies also found to be significantly associated with PTDM (rs7903146: T vs C: OR-2.6; (95%CI: 1.2-5.6); p = 0.01; rs13266634: T vs C: OR-2.0; (95%CI: 1.1-3.4); p = 0.01). These findings suggest that rs7903146 and rs13266634 polymorphisms are associated with PTDM in the Asian Indian population despite a relatively small study group.
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Affiliation(s)
- IImran Ali Khan
- Department of Genetics and Molecular medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Parveen Jahan
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Qurratulain Hasan
- Department of Genetics and Molecular medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
| | - Pragna Rao
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
- Address correspondence to: Dr. Pragna Rao, Department of Biochemistry, Kasturba Medical College, Manipal University, SH 65, Madhav Nagar, Manipal, Karnataka 576104, India. E-mail:
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Musavi Z, Azarpira N, Sangtarash MH, Kordi M, Kazemi K, Geramizadeh B, Malek-Hosseini SA. Polymorphism of Transcription Factor-7-Like 2 (TCF7L2) Gene and New-Onset Diabetes after Liver Transplantation. Int J Organ Transplant Med 2015; 6:14-22. [PMID: 25737773 PMCID: PMC4346459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND New-onset diabetes after transplantation (NODAT) is a serious complication in transplant recipients. Transcription factor-7-like 2 (TCF7L2) is a Wnt signaling-associated transcription factor that plays an important role in β-cell proliferation and insulin secretion. The association between TCF7L2 SNP rs7903146 and NODAT was documented in renal transplant patients. OBJECTIVE To determine the association between TCF7L2 rs7903146 variants and the risk of NODAT after liver transplantation. METHODS This study was conducted on 140 liver transplant recipients who had received tacrolimus-based immunosuppressive drugs. The patients were divided into NODAT (n=70) and non-NODAT (n=70) groups and were genotyped using PCR-RFLP. In addition, 100 normal subjects were considered as the comparison group. RESULTS There was a significant difference (p<0.05) between the two study groups regarding donor and recipient age, recipient body mass index, and recipient fasting plasma glucose before the transplantation. No significant relationship was observed between TCF7L2 rs7903146 genotypes and development of NODAT. No significant difference was also found between the two groups in terms of the tacrolimus and mycophenolate mofetil daily dosage as well as tacrolimus blood level. However, the prednisolone daily dosage was significantly (p=0.01) higher in the NODAT group compared to those without NODAT. The majority of the patients in the NODAT group also had an episode of acute rejection. Furthermore, a significant difference was found between the transplant recipients and the comparison subjects regarding T allele (p<0.001, OR=1.96) and TT genotype (p<0.001, OR=3.47) frequencies. CONCLUSION No correlation was found between TCF7L2 genotypes and development of NODAT. Acute rejection and prednisolone pulse therapy predisposed the susceptible patients to NODAT.
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Affiliation(s)
- Z. Musavi
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Genetic, Sistan and Baluchestan University of Sciences, Zahedan, Iran
| | - N. Azarpira
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - M. H. Sangtarash
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Genetic, Sistan and Baluchestan University of Sciences, Zahedan, Iran
| | - M. Kordi
- Department of Genetic, Sistan and Baluchestan University of Sciences, Zahedan, Iran
| | - K. Kazemi
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - B. Geramizadeh
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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25
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Haghvirdizadeh P, Mohamed Z, Abdullah NA, Haghvirdizadeh P, Haerian MS, Haerian BS. KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus. J Diabetes Res 2015; 2015:908152. [PMID: 26448950 PMCID: PMC4584059 DOI: 10.1155/2015/908152] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Revised: 11/18/2014] [Accepted: 11/27/2014] [Indexed: 01/12/2023] Open
Abstract
Diabetes mellitus (DM) is a major worldwide health problem and its prevalence has been rapidly increasing in the last century. It is caused by defects in insulin secretion or insulin action or both, leading to hyperglycemia. Of the various types of DM, type 2 occurs most frequently. Multiple genes and their interactions are involved in the insulin secretion pathway. Insulin secretion is mediated through the ATP-sensitive potassium (KATP) channel in pancreatic beta cells. This channel is a heteromeric protein, composed of four inward-rectifier potassium ion channel (Kir6.2) tetramers, which form the pore of the KATP channel, as well as sulfonylurea receptor 1 subunits surrounding the pore. Kir6.2 is encoded by the potassium inwardly rectifying channel, subfamily J, member 11 (KCNJ11) gene, a member of the potassium channel genes. Numerous studies have reported the involvement of single nucleotide polymorphisms of the KCNJ11 gene and their interactions in the susceptibility to DM. This review discusses the current evidence for the contribution of common KCNJ11 genetic variants to the development of DM. Future studies should concentrate on understanding the exact role played by these risk variants in the development of DM.
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Affiliation(s)
- Polin Haghvirdizadeh
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Zahurin Mohamed
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Nor Azizan Abdullah
- Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | | | - Monir Sadat Haerian
- Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Iran
- Food and Drug Control Reference Labs Center (FDCRLC), Ministry of Health and Medical Education, Tehran 131456-8784, Iran
| | - Batoul Sadat Haerian
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
- *Batoul Sadat Haerian:
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Parvizi Z, Azarpira N, Kohan L, Darai M, Kazemi K, Parvizi MM. Association between E23K variant in KCNJ11 gene and new-onset diabetes after liver transplantation. Mol Biol Rep 2014; 41:6063-9. [PMID: 24996284 DOI: 10.1007/s11033-014-3483-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 06/17/2014] [Indexed: 12/24/2022]
Abstract
New-onset diabetes after transplantation (NODAT) is an important complication after solid organ transplantation. NODAT is a polygenic disease and KCNJ11 E23K polymorphism is considered as a diabetes-susceptibility gene. The present study aimed to assess the association between KCNJ11 (rs5219) variants and the risk of developing NODAT after liver transplantation. This study was conducted on 120 liver transplant recipients who had received tacrolimus-based immunosuppressive drugs. The liver transplant recipients were divided into an new onset diabetes mellitus (NODM) and a non-NODM group. The NODAT group consisted of 60 patients who developed diabetes in the first 6 months after transplantation, while the non-NODAT group included 60 patients who remained euglycemic. The patients were genotyped using polymerase chain reaction-restriction fragment length polymorphism and the incidence of NODAT was compared between the two groups. Nongenetic risk factors including donor gender and cold ischemia time, and recipient (MELD score, presence of viral hepatitis, acute rejection and steroid pulse therapy) were also considered. The KCNJ11 KK variant was associated with an increased risk for NODAT with respective odds ratio of 6.03 (95 % confidence interval 2.37-15.4; P < 0.001]. Donor age and male sex, recipient age as well as fasting plasma glucose before transplantation were significantly different between NODAT and non-NODAT groups (P < 0.05). The prednisolone daily dosage was significantly higher in the NODAT group (P = 0.01). These patients received pulse of methyl prednisolone for treatment of acute rejection. This study showed that polymorphisms in KCNJ11 might predispose the patients treated by tacrolimus to development of NODAT after liver transplantation.
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Affiliation(s)
- Zahra Parvizi
- Transplant Research Center, Nemazi Hospital, Shiraz University of Medical Sciences, Zand Street, 7193711351, Shiraz, Iran
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Risk Factors for Development of New-Onset Diabetes Mellitus and Progressive Impairment of Glucose Metabolism After Living-Donor Liver Transplantation. Transplant Proc 2014; 46:865-9. [DOI: 10.1016/j.transproceed.2013.12.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Revised: 11/30/2013] [Accepted: 12/11/2013] [Indexed: 12/21/2022]
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McCaughan JA, McKnight AJ, Maxwell AP. Genetics of new-onset diabetes after transplantation. J Am Soc Nephrol 2013; 25:1037-49. [PMID: 24309190 DOI: 10.1681/asn.2013040383] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
New-onset diabetes after transplantation is a common complication that reduces recipient survival. Research in renal transplant recipients has suggested that pancreatic β-cell dysfunction, as opposed to insulin resistance, may be the key pathologic process. In this study, clinical and genetic factors associated with new-onset diabetes after transplantation were identified in a white population. A joint analysis approach, with an initial genome-wide association study in a subset of cases followed by de novo genotyping in the complete case cohort, was implemented to identify single-nucleotide polymorphisms (SNPs) associated with the development of new-onset diabetes after transplantation. Clinical variables associated with the development of diabetes after renal transplantation included older recipient age, female sex, and percentage weight gain within 12 months of transplantation. The genome-wide association study identified 26 SNPs associated with new-onset diabetes after transplantation; this association was validated for eight SNPs (rs10484821, rs7533125, rs2861484, rs11580170, rs2020902, rs1836882, rs198372, and rs4394754) by de novo genotyping. These associations remained significant after multivariate adjustment for clinical variables. Seven of these SNPs are associated with genes implicated in β-cell apoptosis. These results corroborate recent clinical evidence implicating β-cell dysfunction in the pathophysiology of new-onset diabetes after transplantation and support the pursuit of therapeutic strategies to protect β cells in the post-transplant period.
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Affiliation(s)
- Jennifer A McCaughan
- Nephrology Research Group, Queen's University, Belfast, Northern Ireland; and Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland
| | - Amy Jayne McKnight
- Nephrology Research Group, Queen's University, Belfast, Northern Ireland; and
| | - Alexander P Maxwell
- Nephrology Research Group, Queen's University, Belfast, Northern Ireland; and Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland
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Role of genetic polymorphisms of ion channels in the pathophysiology of coronary microvascular dysfunction and ischemic heart disease. Basic Res Cardiol 2013; 108:387. [PMID: 24068186 PMCID: PMC3898136 DOI: 10.1007/s00395-013-0387-4] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2013] [Revised: 08/13/2013] [Accepted: 09/11/2013] [Indexed: 01/14/2023]
Abstract
Conventionally, ischemic heart disease (IHD) is equated with large vessel coronary disease. However, recent evidence has suggested a role of compromised microvascular regulation in the etiology of IHD. Because regulation of coronary blood flow likely involves activity of specific ion channels, and key factors involved in endothelium-dependent dilation, we proposed that genetic anomalies of ion channels or specific endothelial regulators may underlie coronary microvascular disease. We aimed to evaluate the clinical impact of single-nucleotide polymorphisms in genes encoding for ion channels expressed in the coronary vasculature and the possible correlation with IHD resulting from microvascular dysfunction. 242 consecutive patients who were candidates for coronary angiography were enrolled. A prospective, observational, single-center study was conducted, analyzing genetic polymorphisms relative to (1) NOS3 encoding for endothelial nitric oxide synthase (eNOS); (2) ATP2A2 encoding for the Ca2+/H+-ATPase pump (SERCA); (3) SCN5A encoding for the voltage-dependent Na+ channel (Nav1.5); (4) KCNJ8 and KCNJ11 encoding for the Kir6.1 and Kir6.2 subunits of K-ATP channels, respectively; and (5) KCN5A encoding for the voltage-gated K+ channel (Kv1.5). No significant associations between clinical IHD manifestations and polymorphisms for SERCA, Kir6.1, and Kv1.5 were observed (p > 0.05), whereas specific polymorphisms detected in eNOS, as well as in Kir6.2 and Nav1.5 were found to be correlated with IHD and microvascular dysfunction. Interestingly, genetic polymorphisms for ion channels seem to have an important clinical impact influencing the susceptibility for microvascular dysfunction and IHD, independent of the presence of classic cardiovascular risk factors.
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Abstract
Polygenic type 2 diabetes mellitus (T2DM) is a multi-factorial disease due to the interplay between genes and the environment. Over the years, several genes/loci have been associated with this type of diabetes, with the majority of them being related to β cell dysfunction. In this review, the available information on how polymorphisms in T2DM-associated genes/loci do directly affect the properties of human islet cells are presented and discussed, including some clinical implications and the role of epigenetic mechanisms.
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Affiliation(s)
- Piero Marchetti
- Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy.
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