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Yan L, Sun J, Wang Y, Liu X, Hu J, Sun M, Suo X, Duan R, Yuan C. Lin28 affects the proliferation and osteogenic differentiation of human dental pulp stem cells by directly inhibiting let-7b maturation. BDJ Open 2024; 10:17. [PMID: 38443392 PMCID: PMC10914815 DOI: 10.1038/s41405-024-00194-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/23/2024] [Accepted: 01/27/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVE Activation of Lin28 gene under certain conditions promotes tissue damage repair. However, it remains unknown whether conditional expression of Lin28 facilitates the recovery of damaged pulp tissue. In the study, we focus on exploring the effects and possible regulatory mechanisms of Lin28 on the proliferation and differentiation of human dental pulp stem cells (hDPSCs). MATERIALS AND METHODS We adopted techniques such as the ethynyl-2'-deoxyuridine (EdU) incorporation assay, RNA-protein immunoprecipitation (RIP) analysis, and luciferase assays to study the regulation of hDPSCs by Lin28. Furthermore, gain-of-function and loss-of-function analyses were also used in explored factors regulating hDPSCs activation. RESULTS The results show that Lin28 inhibited osteogenic differentiation by directly targets pre-let-7b. Through bioinformatics sequencing and dual luciferase experiments we learned that let-7b directly targets the IGF2BP2 3'UTR. Silencing of IGF2BP2 showed a similar biological effect as overexpression of let-7b. Overexpression of IGF2BP2 counteracted the differentiation-promoting effects produced by let-7b overexpression. DISCUSSION/CONCLUSIONS In conclusion, the RNA-binding protein Lin28 regulates osteogenic differentiation of hDPSCs by inhibiting let-7 miRNA maturation. And mature let-7b directly regulated the expression of IGF2BP2 by targeting the 3'UTR region of IGF2BP2 mRNA thus further inhibiting the differentiation of hDPSCs.
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Affiliation(s)
- Liu Yan
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
- Affiliated Stomatological Hospital of Xuzhou Medical University, No.130 Huaihai West Road, Xuzhou, 221000, Jiangsu, China
| | - Jing Sun
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yushan Wang
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Xinxin Liu
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Jiayi Hu
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Mengxin Sun
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Xi Suo
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Rongquan Duan
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China.
| | - Changyong Yuan
- School of Stomatology, Xuzhou Medical University, No.209 Tongshan Road, Xuzhou, 221004, Jiangsu, China.
- Affiliated Stomatological Hospital of Xuzhou Medical University, No.130 Huaihai West Road, Xuzhou, 221000, Jiangsu, China.
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Azarova I, Polonikov A, Klyosova E. Molecular Genetics of Abnormal Redox Homeostasis in Type 2 Diabetes Mellitus. Int J Mol Sci 2023; 24:ijms24054738. [PMID: 36902173 PMCID: PMC10003739 DOI: 10.3390/ijms24054738] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
Numerous studies have shown that oxidative stress resulting from an imbalance between the production of free radicals and their neutralization by antioxidant enzymes is one of the major pathological disorders underlying the development and progression of type 2 diabetes (T2D). The present review summarizes the current state of the art advances in understanding the role of abnormal redox homeostasis in the molecular mechanisms of T2D and provides comprehensive information on the characteristics and biological functions of antioxidant and oxidative enzymes, as well as discusses genetic studies conducted so far in order to investigate the contribution of polymorphisms in genes encoding redox state-regulating enzymes to the disease pathogenesis.
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Affiliation(s)
- Iuliia Azarova
- Department of Biological Chemistry, Kursk State Medical University, 3 Karl Marx Street, 305041 Kursk, Russia
- Laboratory of Biochemical Genetics and Metabolomics, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya Street, 305041 Kursk, Russia
| | - Alexey Polonikov
- Laboratory of Statistical Genetics and Bioinformatics, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya Street, 305041 Kursk, Russia
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, 3 Karl Marx Street, 305041 Kursk, Russia
- Correspondence:
| | - Elena Klyosova
- Laboratory of Biochemical Genetics and Metabolomics, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya Street, 305041 Kursk, Russia
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The Characterization and Differential Analysis of m 6A Methylation in Hycole Rabbit Muscle and Adipose Tissue and Prediction of Regulatory Mechanism about Intramuscular Fat. Animals (Basel) 2023; 13:ani13030446. [PMID: 36766336 PMCID: PMC9913852 DOI: 10.3390/ani13030446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/24/2023] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
N6-methyladenosine (m6A) widely participates in various life processes of animals, including disease, memory, growth and development, etc. However, there is no report on m6A regulating intramuscular fat deposition in rabbits. In this study, m6A modification of Hycole rabbit muscle and adipose tissues were detected by MeRIP-Seq. In this case, 3 methylases and 12 genes modified by m6A were found to be significantly different between muscle and adipose tissues. At the same time, we found 3 methylases can regulate the expression of 12 genes in different ways and the function of 12 genes is related to fat deposition base on existing studies. 12 genes were modified by m6A methylase in rabbit muscle and adipose tissues. These results suggest that 3 methylases may regulate the expression of 12 genes through different pathways. In addition, the analysis of results showed that 6 of the 12 genes regulated eight signaling pathways, which regulated intramuscular fat deposition. RT-qPCR was used to validate the sequencing results and found the expression results of RT-qPCR and sequencing results are consistent. In summary, METTL4, ZC3H13 and IGF2BP2 regulated intramuscular fat by m6A modified gene/signaling pathways. Our work provided a new molecular basis and a new way to produce rabbit meat with good taste.
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Involvement of Cdkal1 in the etiology of type 2 diabetes mellitus and microvascular diabetic complications: a review. J Diabetes Metab Disord 2022; 21:991-1001. [PMID: 35673487 PMCID: PMC9167393 DOI: 10.1007/s40200-021-00953-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023]
Abstract
Diabetes Mellitus, being a polygenic disorder, have a set of risk genes involved in the onset of the insulin resistance, obesity and impaired insulin synthesis. Recent genome wide association studies (GWAS) shows the intimacy of CDK5 regulatory subunit Associated protein 1-Like 1 (Cdkal1) with the pathophysiology of the diabetes mellitus and its complications, although the exact molecular relation is still unknown. In this short review, we have summarized all the diverse biological roles of Cdkal1 in relation to the onset of diabetes mellitus. Variations in the Cdkal1 transcript are responsible for the accumulation of misfolded insulin and thus generating oxidative and ER stress in the pancreatic β-cells, leading to their destruction. Recent studies have shown that Cdkal1 has an intrinsic thiomethyl transferase activity, which is essential for proper posttranslational processing of pre-proinsulin to produce mature insulin. Moreover, Cdkal1 has also been claimed as an endogenous inhibitor of cdk5, which prevents the cdk5-induced interruption in insulin synthesis through PDX1 translocation from nucleus to cytosol. Recent clinical studies have identified the risk single nucleotide polymorphisms (SNPs) of Cdkal1 as one of the root causes for the onset of diabetic complications. To the best of our knowledge, it is the first comprehensive review which elaborates most of the potential Cdkal1-dependent molecular mechanisms studied yet. In this review, we present a compiled and concise summary about all the diverse roles of Cdkal1 in the context of type 2 diabetes mellitus and its associated complications. This review will be helpful to target Cdkal1 as a potential option for the management of type 2 diabetes mellitus in future. Graphical abstract
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Geng X, Li Z, Yang Y. Emerging Role of Epitranscriptomics in Diabetes Mellitus and Its Complications. Front Endocrinol (Lausanne) 2022; 13:907060. [PMID: 35692393 PMCID: PMC9184717 DOI: 10.3389/fendo.2022.907060] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/14/2022] [Indexed: 01/13/2023] Open
Abstract
Diabetes mellitus (DM) and its related complications are among the leading causes of disability and mortality worldwide. Substantial studies have explored epigenetic regulation that is involved in the modifications of DNA and proteins, but RNA modifications in diabetes are still poorly investigated. In recent years, posttranscriptional epigenetic modification of RNA (the so-called 'epitranscriptome') has emerged as an interesting field of research. Numerous modifications, mainly N6 -methyladenosine (m6A), have been identified in nearly all types of RNAs and have been demonstrated to have an indispensable effect in a variety of human diseases, such as cancer, obesity, and diabetes. Therefore, it is particularly important to understand the molecular basis of RNA modifications, which might provide a new perspective for the pathogenesis of diabetes mellitus and the discovery of new therapeutic targets. In this review, we aim to summarize the recent progress in the epitranscriptomics involved in diabetes and diabetes-related complications. We hope to provide some insights for enriching the understanding of the epitranscriptomic regulatory mechanisms of this disease as well as the development of novel therapeutic targets for future clinical benefit.
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Affiliation(s)
- Xinqian Geng
- Department of Endocrinology, The Affiliated Hospital of Yunnan University and the Second People’s Hospital of Yunnan Province, Kunming, China
| | - Zheng Li
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ying Yang
- Department of Endocrinology, The Affiliated Hospital of Yunnan University and the Second People’s Hospital of Yunnan Province, Kunming, China
- *Correspondence: Ying Yang,
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Sasaki H, Saisho Y, Inaishi J, Itoh H. Revisiting Regulators of Human β-cell Mass to Achieve β-cell-centric Approach Toward Type 2 Diabetes. J Endocr Soc 2021; 5:bvab128. [PMID: 34405128 PMCID: PMC8361804 DOI: 10.1210/jendso/bvab128] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Indexed: 02/07/2023] Open
Abstract
Type 2 diabetes (T2DM) is characterized by insulin resistance and β-cell dysfunction. Because patients with T2DM have inadequate β-cell mass (BCM) and β-cell dysfunction worsens glycemic control and makes treatment difficult, therapeutic strategies to preserve and restore BCM are needed. In rodent models, obesity increases BCM about 3-fold, but the increase in BCM in humans is limited. Besides, obesity-induced changes in BCM may show racial differences between East Asians and Caucasians. Recently, the developmental origins of health and disease hypothesis, which states that the risk of developing noncommunicable diseases including T2DM is influenced by the fetal environment, has been proposed. It is known in rodents that animals with low birthweight have reduced BCM through epigenetic modifications, making them more susceptible to diabetes in the future. Similarly, in humans, we revealed that individuals born with low birthweight have lower BCM in adulthood. Because β-cell replication is more frequently observed in the 5 years after birth, and β cells are found to be more plastic in that period, a history of childhood obesity increases BCM. BCM in patients with T2DM is reduced by 20% to 65% compared with that in individuals without T2DM. However, since BCM starts to decrease from the stage of borderline diabetes, early intervention is essential for β-cell protection. In this review, we summarize the current knowledge on regulatory factors of human BCM in health and diabetes and propose the β-cell–centric concept of diabetes to enhance a more pathophysiology-based treatment approach for T2DM.
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Affiliation(s)
- Hironobu Sasaki
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.,Center for Preventive Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yoshifumi Saisho
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Jun Inaishi
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.,Center for Preventive Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hiroshi Itoh
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
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Cao J, Yan W, Ma X, Huang H, Yan H. Insulin-like Growth Factor 2 mRNA-Binding Protein 2-a Potential Link Between Type 2 Diabetes Mellitus and Cancer. J Clin Endocrinol Metab 2021; 106:2807-2818. [PMID: 34061963 PMCID: PMC8475209 DOI: 10.1210/clinem/dgab391] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Indexed: 12/12/2022]
Abstract
CONTEXT Type 2 diabetes mellitus (T2DM) and cancer share a variety of risk factors and pathophysiological features. It is becoming increasingly accepted that the 2 diseases are related, and that T2DM increases the risk of certain malignancies. OBJECTIVE This review summarizes recent advancements in the elucidation of functions of insulin-like growth factor 2 (IGF-2) messenger RNA (mRNA)-binding protein 2 (IGF2BP2) in T2DM and cancer. METHODS A PubMed review of the literature was conducted, and search terms included IGF2BP2, IMP2, or p62 in combination with cancer or T2DM. Additional sources were identified through manual searches of reference lists. The increased risk of multiple malignancies and cancer-associated mortality in patients with T2DM is believed to be driven by insulin resistance, hyperinsulinemia, hyperglycemia, chronic inflammation, and dysregulation of adipokines and sex hormones. Furthermore, IGF-2 is oncogenic, and its loss-of-function splice variant is protective against T2DM, which highlights the pivotal role of this growth factor in the pathogenesis of these 2 diseases. IGF-2 mRNA-binding proteins, particularly IGF2BP2, are also involved in T2DM and cancer, and single-nucleotide variations (formerly single-nucleotide polymorphisms) of IGF2BP2 are associated with both diseases. Deletion of the IGF2BP2 gene in mice improves their glucose tolerance and insulin sensitivity, and mice with transgenic p62, a splice variant of IGF2BP2, are prone to diet-induced fatty liver disease and hepatocellular carcinoma, suggesting the biological significance of IGF2BP2 in T2DM and cancer. CONCLUSION Accumulating evidence has revealed that IGF2BP2 mediates the pathogenesis of T2DM and cancer by regulating glucose metabolism, insulin sensitivity, and tumorigenesis. This review provides insight into the potential involvement of this RNA binding protein in the link between T2DM and cancer.
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Affiliation(s)
- Junguo Cao
- Shaanxi Eye Hospital (Xi’an People’s Hospital), Affiliated Guangren Hospital, School of Medicine, Xi’an Jiaotong University, Xi’an 71004, Shaanxi Province, China
- Division of Experimental Neurosurgery, Department of Neurosurgery, University of Heidelberg, Heidelberg 69120, Germany
| | - Weijia Yan
- Shaanxi Eye Hospital (Xi’an People’s Hospital), Affiliated Guangren Hospital, School of Medicine, Xi’an Jiaotong University, Xi’an 71004, Shaanxi Province, China
- Department of Ophthalmology, University of Heidelberg, Heidelberg 69120, Germany
| | - Xiujian Ma
- Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Haiyan Huang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130000, China
- Haiyan Huang, Department of Neurosurgery, The First Hospital of Jilin University, Xinmin St No.71, Changchun, China.
| | - Hong Yan
- Shaanxi Eye Hospital (Xi’an People’s Hospital), Affiliated Guangren Hospital, School of Medicine, Xi’an Jiaotong University, Xi’an 71004, Shaanxi Province, China
- Correspondence: Hong Yan, Shaanxi Eye Hospital (Xi’an People’s Hospital), Affiliated Guangren Hospital, School of Medicine, Xi’an Jiaotong University, Xi’an 71004, Shaanxi Province, China.
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Lack of association between IGF2BP2 rs4402960 polymorphism and gestational diabetes mellitus: a case-control study, meta-analysis and trial sequential analysis. Biosci Rep 2021; 40:225783. [PMID: 32662505 PMCID: PMC7378266 DOI: 10.1042/bsr20200990] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 06/30/2020] [Accepted: 07/13/2020] [Indexed: 12/21/2022] Open
Abstract
Background: It is well known that insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) rs4402960 polymorphism is associated with Type 2 diabetes mellitus, which has a shared genetic background with gestational diabetes mellitus (GDM). Previous studies have yielded controversial results about the link between IGF2BP2 rs4402960 polymorphism and GDM risk. Thus, a meta-analysis was performed to obtain more conclusive results. Methods: Clinical and genotype data were determined for 305 GDM and 1216 healthy participants recruited. Eligible studies were retrieved in PubMed, Web of science, EMBASE, and Scopus. Odds ratios (ORs) with 95% confidence intervals (CIs) were utilized to evaluate the relationship between IGF2BP2 polymorphisms and GDM susceptibility in five genetic models. The subgroup stratified analysis and trial sequential analysis (TSA) were performed. Results: In this case–control study, no significant association was revealed between IGF2BP2 polymorphism and GDM (P>0.05). When combined with the previous studies in the meta-analysis, there was no statistical association between IGF2BP2 polymorphism and GDM (allele model: OR = 1.01, 95% CI = 0.86–1.18; dominant model: OR = 1.00, 95% CI = 0.81–1.24; recessive model: OR = 1.08, 95% CI = 0.91–1.29; heterozygous model: OR = 0.99, 95% CI = 0.80–1.24; homozygous model: OR = 1.06, 95% CI = 0.78–1.42). No association was observed in five genetic models in each subgroup. TSA indicated sufficient proof of such null association in the overall population. Conclusions: This meta-analysis provides sufficient statistical evidence indicating null association between IGF2BP2 rs4402960 polymorphism and GDM risk.
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Influence of IGF2BP2, HMG20A, and HNF1B genetic polymorphisms on the susceptibility to Type 2 diabetes mellitus in Chinese Han population. Biosci Rep 2021; 40:222767. [PMID: 32329795 PMCID: PMC7256674 DOI: 10.1042/bsr20193955] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 03/31/2020] [Accepted: 04/21/2020] [Indexed: 12/19/2022] Open
Abstract
Background: The present study aimed to investigate the roles of insulin related gene IGF2BP2, HMG20A, and HNF1B variants in the susceptibility of Type 2 diabetes mellitus (T2DM), and to identify their association with age, gender, BMI, and smoking and alcohol drinking behavior among the Han Chinese population. Methods: About 508 patients with T2DM and 503 healthy controls were enrolled. Rs11927381 and rs7640539 in IGF2BP2, rs7178572 in HMG20A, rs4430796, and rs11651052 in HNF1B were genotyped by using the Agena MassARRAY. Odds ratio (OR) and 95% confidence intervals (CI) were calculated by logistic regression. Results: We found that HMG20A rs7178572 (OR = 1.25, P = 0.015) and HNF1B rs11651052 (OR = 1.26, P = 0.019) increased the risk of T2DM. Rs7178572, rs4430796, and rs11651052 might be related to the higher T2DM susceptibility not only by itself but also by interacting with age, gender smoking, and alcohol drinking. Rs11927381 also conferred the higher T2DM susceptibility at age ≤ 59 years. Besides, rs7178572-AA (P = 0.032) genotype and rs11651052 GG (P = 0.018) genotype were related to higher glycated hemoglobin and insulin level, respectively. Conclusion: Specifically, we first found that rs11927381, rs7640539, and rs11651052 were associated with risk of T2DM among the Han Chinese population. We also provide evidence that age, gender, BMI, smoking, and drinking status have an interactive effect with these variants on T2DM susceptibility.
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Iafusco F, Maione G, Rosanio FM, Mozzillo E, Franzese A, Tinto N. Cystic Fibrosis-Related Diabetes (CFRD): Overview of Associated Genetic Factors. Diagnostics (Basel) 2021; 11:diagnostics11030572. [PMID: 33810109 PMCID: PMC8005125 DOI: 10.3390/diagnostics11030572] [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] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 03/19/2021] [Indexed: 12/21/2022] Open
Abstract
Cystic fibrosis (CF) is the most common autosomal recessive disease in the Caucasian population and is caused by mutations in the CF transmembrane conductance regulator (CFTR) gene that encodes for a chloride/bicarbonate channel expressed on the membrane of epithelial cells of the airways and of the intestine, as well as in cells with exocrine and endocrine functions. A common nonpulmonary complication of CF is cystic fibrosis-related diabetes (CFRD), a distinct form of diabetes due to insulin insufficiency or malfunction secondary to destruction/derangement of pancreatic betacells, as well as to other factors that affect their function. The prevalence of CFRD increases with age, and 40–50% of CF adults develop the disease. Several proposed hypotheses on how CFRD develops have emerged, including exocrine-driven fibrosis and destruction of the entire pancreas, as well as contrasting theories on the direct or indirect impact of CFTR mutation on islet function. Among contributors to the development of CFRD, in addition to CFTR genotype, there are other genetic factors related and not related to type 2 diabetes. This review presents an overview of the current understanding on genetic factors associated with glucose metabolism abnormalities in CF.
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Affiliation(s)
- Fernanda Iafusco
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; (F.I.); (G.M.)
- CEINGE Advanced Biotechnology, 80131 Naples, Italy
| | - Giovanna Maione
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; (F.I.); (G.M.)
- CEINGE Advanced Biotechnology, 80131 Naples, Italy
| | - Francesco Maria Rosanio
- Regional Center of Pediatric Diabetology, Department of Translational Medical Sciences, Section of Pediatrics, University of Naples “Federico II”, 80131 Naples, Italy; (F.M.R.); (E.M.); (A.F.)
| | - Enza Mozzillo
- Regional Center of Pediatric Diabetology, Department of Translational Medical Sciences, Section of Pediatrics, University of Naples “Federico II”, 80131 Naples, Italy; (F.M.R.); (E.M.); (A.F.)
| | - Adriana Franzese
- Regional Center of Pediatric Diabetology, Department of Translational Medical Sciences, Section of Pediatrics, University of Naples “Federico II”, 80131 Naples, Italy; (F.M.R.); (E.M.); (A.F.)
| | - Nadia Tinto
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; (F.I.); (G.M.)
- CEINGE Advanced Biotechnology, 80131 Naples, Italy
- Correspondence:
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Wang J, Chen L, Qiang P. The role of IGF2BP2, an m6A reader gene, in human metabolic diseases and cancers. Cancer Cell Int 2021; 21:99. [PMID: 33568150 PMCID: PMC7876817 DOI: 10.1186/s12935-021-01799-x] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 02/03/2021] [Indexed: 02/07/2023] Open
Abstract
The human insulin-like growth factor 2 (IGF2) mRNA binding proteins 2 (IGF2BP2/IMP2) is an RNA-binding protein that regulates multiple biological processes. Previously, IGF2BP2 was thought to be a type 2 diabetes (T2D)-associated gene. Indeed IGF2BP2 modulates cellular metabolism in human metabolic diseases such as diabetes, obesity and fatty liver through post-transcriptional regulation of numerous genes in multiple cell types. Emerging evidence shows that IGF2BP2 is an N6-methyladenosine (m6A) reader that participates in the development and progression of cancers by communicating with different RNAs such as microRNAs (miRNAs), messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). Additionally, IGF2BP2 is an independent prognostic factor for multiple cancer types. In this review, we summarize the current knowledge on IGF2BP2 with regard to diverse human metabolic diseases and its potential for cancer prognosis.
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Affiliation(s)
- Jinyan Wang
- Department of Oncology, Zhangjiagang First People's Hospital, Zhangjiagang Affiliated Hospital of Soochow University, Zhangjiagang, China.,The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Lijuan Chen
- Department of Gynecology, Zhangjiagang First People's Hospital, Zhangjiagang Affiliated Hospital of Soochow University, Zhangjiagang, 215600, Jiangsu, People's Republic of China.
| | - Ping Qiang
- Department of Gynecology, Zhangjiagang First People's Hospital, Zhangjiagang Affiliated Hospital of Soochow University, Zhangjiagang, 215600, Jiangsu, People's Republic of China.
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12
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tRNA Biology in the Pathogenesis of Diabetes: Role of Genetic and Environmental Factors. Int J Mol Sci 2021; 22:ijms22020496. [PMID: 33419045 PMCID: PMC7825315 DOI: 10.3390/ijms22020496] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 01/02/2021] [Accepted: 01/03/2021] [Indexed: 02/07/2023] Open
Abstract
The global rise in type 2 diabetes results from a combination of genetic predisposition with environmental assaults that negatively affect insulin action in peripheral tissues and impair pancreatic β-cell function and survival. Nongenetic heritability of metabolic traits may be an important contributor to the diabetes epidemic. Transfer RNAs (tRNAs) are noncoding RNA molecules that play a crucial role in protein synthesis. tRNAs also have noncanonical functions through which they control a variety of biological processes. Genetic and environmental effects on tRNAs have emerged as novel contributors to the pathogenesis of diabetes. Indeed, altered tRNA aminoacylation, modification, and fragmentation are associated with β-cell failure, obesity, and insulin resistance. Moreover, diet-induced tRNA fragments have been linked with intergenerational inheritance of metabolic traits. Here, we provide a comprehensive review of how perturbations in tRNA biology play a role in the pathogenesis of monogenic and type 2 diabetes.
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Xu N, Zhang TT, Han WJ, Yin LP, Ma NZ, Shi XY, Sun JJ. Association of CDKAL1 RS10946398 Gene Polymorphism with Susceptibility to Diabetes Mellitus Type 2: A Meta-Analysis. J Diabetes Res 2021; 2021:1254968. [PMID: 34977253 PMCID: PMC8719992 DOI: 10.1155/2021/1254968] [Citation(s) in RCA: 6] [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: 09/21/2021] [Revised: 11/12/2021] [Accepted: 11/13/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Diabetes is one of the common chronic diseases in which susceptibility is determined by a combination of genetic and environmental factors, and more than 90% of diabetic patients are diabetes mellitus type 2 (T2DM). The existing studies on the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes are inconsistent across populations. AIM We aim to explore the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes in different populations. METHODS We examined all studies before June 12, 2021, that associated CDKAL1 rs10946398 with T2DM. Heterogeneity was assessed by meta-analysis of allelic inheritance models (A vs. C), dominant inheritance models (AA vs. AC+CC), and recessive inheritance model (AA+AC vs. CC); I 2 was used to assess the heterogeneity (if I 2 < 50%, the fixed-effects model was used; if I 2 ≥ 50%, the random-effects model was used for data consolidation); correlation was judged by a forest map; potential publication bias was tested by the Egger test (p > 0.05 indicates that there is no publication bias). RESULTS Fourteen data totaling 30288 subjects, including 19272 controls and 11016 patients with T2DM, met our inclusion criteria. In the Asian population, the differences were statistically significant (p < 0.01) for dominant genetic model (OR = 0.75, 95%CI = 0.64-0.88, p = 0.0003). But the allelic effect model (OR = 0.87, 95%CI = 0.75-1.02, p = 0.08) and the recessive genetic model (OR = 0.85, 95%CI = 0.66-1.10, p = 0.23) were not statistically significant (p > 0.01). In the non-Asian population, the differences were statistically significant (p < 0.01) for the allelic effect model (OR = 0.83, 95%CI = 0.77-0.88, p < 0.00001), the dominant model (OR = 0.79, 95%CI = 0.72-0.87, p < 0.00001), and the recessive model (OR = 0.78, 95%CI = 0.70-0.87, p < 0.0001). CONCLUSION In this study, CDKAL1 RS10946398 was positively associated with T2DM, but the association was different in Asian populations.
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Affiliation(s)
- Ning Xu
- School of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China
| | - Ting-Ting Zhang
- School of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China
| | - Wen-Jia Han
- School of Dentistry, Anhui Medical University, Hefei, Anhui 230032, China
| | - Li-Ping Yin
- Medical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Nan-Zheng Ma
- Anhui Medical University, Affiliated Hospital, Nationalities, Hefei, Anhui 230032, China
| | - Xiu-Yan Shi
- Nanjing Prevention and Treatment Center for Occupational Diseases, Nanjing 23100, China
| | - Jiang-Jie Sun
- Health Management College, Anhui Medical University, Hefei, Anhui 230032, China
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14
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Verma AK, Goyal Y, Bhatt D, Beg MMA, Dev K, Alsahli MA, Rahmani AH. Association Between CDKAL1, HHEX, CDKN2A/2B and IGF2BP2 Gene Polymorphisms and Susceptibility to Type 2 Diabetes in Uttarakhand, India. Diabetes Metab Syndr Obes 2021; 14:23-36. [PMID: 33442279 PMCID: PMC7797276 DOI: 10.2147/dmso.s284998] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 12/02/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Current study aimed to find the association of genes polymorphism of CDKAL1, HHEX, CDKN2A/2B, and IGF2BP2 with type 2 diabetes (T2DM) in the population of Uttarakhand. RESEARCH DESIGN AND METHODS Overall 469 persons comprising 369 recently diagnosed T2DM cases and 100 healthy control were enrolled in the present study. The polymorphisms were analyzed through the PCR-RFLP technique. RESULTS For the rs10440833 variant (CDKAL1), CC genotype's frequency was significantly high among T2DM subjects than controls and increase the T2DM risk (OR: 4.46, 95% CI: 2.22-8.99, p <0.0001). The c allele was significantly found to increase the T2DM risk (OR: 2.20, 95% CI: 1.54-3.14, p <0.001). In the rs1111875 variant (HHEX), the difference of genotype frequencies among T2DM cases and control was statistically non-significant (p-0.138). We did not observe significant differences in allelic frequencies among T2DM cases and control (p-0.444). In the case of rs10811661 variant (CDKN2A/2B), frequency of both TC (OR: 3.16, 95% CI: 1.84-5.42, p <0.0001) and TT (OR: 5.84, 95% CI: 1.75-19.45, p -0.004) genotype were significantly higher in T2DM cases in comparison with control and significantly associated with higher T2DM risk. Compared to the C allele, a significant increase in T2DM risk was documented with the T allele (OR: 2.47, 95% CI: 1.55-3.92, p <0.001). For rs4402960 variant (IGF2BP2), TT genotype contributed to increased T2DM risk (OR: 4.25, 95% CI: 2.02-8.93, p -0.0001). T allele's frequency was significantly high in T2DM cases in comparison with healthy control. Except WHR, HDL-C, exercise, household chores, standing work more than 3 hours, and family history, significant differences were found between T2DM cases and healthy individuals in all other parameters. CONCLUSION Our study concluded a significant association of CDKAL1, CDKN2A/2B, and IGF2BP2 polymorphism with T2DM in the Uttarakhand population. For HHEX, the genotype and allelic frequencies difference between T2DM cases and control were statistically non-significant. However, a significant association of HHEX gene polymorphism with T2DM was observed only under the dominant model.
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Affiliation(s)
- Amit K Verma
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
- Correspondence: Amit K VermaDepartment of Biotechnology, Srinivasa Ramanujan Block, Mujeeb Bagh, Jamia Millia Islamia, Lab 413, Medical Biotechnology Lab, 4 Floor, New Delhi110025, IndiaTel +91-9027777719 Email
| | - Yamini Goyal
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Deepti Bhatt
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | | | - Kapil Dev
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Mohammed A Alsahli
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia
| | - Arshad Husain Rahmani
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia
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15
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Dai N. The Diverse Functions of IMP2/IGF2BP2 in Metabolism. Trends Endocrinol Metab 2020; 31:670-679. [PMID: 32586768 DOI: 10.1016/j.tem.2020.05.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/28/2020] [Accepted: 05/26/2020] [Indexed: 12/13/2022]
Abstract
The human insulin-like growth factor 2 (IGF2) mRNA binding protein family (IMPs/IGF2BPs) is involved in a spectrum of biological processes, including development, tumorigenesis, and stemness. IMPs play a major role in post-transcriptional regulation of RNAs through the ribonucleoprotein complex (RNP). They have emerged as direct mammalian target of rapamycin (mTOR) substrates that coordinate nutrient stimulation and RNA life cycle control. IMP2 is a human type 2 diabetes (T2D) gene associated with impaired insulin secretion. Recently, using murine models, the substantial progress in understanding disease mechanisms has highlighted the significance of IMP2 in metabolism. This new knowledge may have the potential for therapeutic benefit.
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Affiliation(s)
- Ning Dai
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
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16
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Choi WJ, Jin HS, Kim SS, Shin D. Dietary Protein and Fat Intake Affects Diabetes Risk with CDKAL1 Genetic Variants in Korean Adults. Int J Mol Sci 2020; 21:ijms21165607. [PMID: 32764395 PMCID: PMC7460637 DOI: 10.3390/ijms21165607] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 12/20/2022] Open
Abstract
Cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) is one of the strongest diabetes loci identified to date; evidence suggests that it plays an important role in insulin secretion. Dietary factors that affect insulin demand might enhance the risk of diabetes associated with CDKAL1 variants. Our aim was to examine the interactions between dietary protein and fat intake and CDKAL1 genetic variants in relation to the risk of diabetes in Korean adults. Single nucleotide polymorphisms (SNPs) were selected with a genome-wide association study (GWAS) for diabetes after adjustment for age, gender, and examination site. Using data from the Health Examinees (HEXA) Study of the Korean Genome and Epidemiology Study (KoGES), 3988 middle-aged Korean adults between 40–76 years of age (2034 men and 1954 women) were included in the study. Finally, rs7756992 located within the CDKAL1 gene region was selected from GWAS (p-value < 5 × 10−8). Multivariable logistic regression models were used to evaluate the interactions between genotypes and dietary protein and fat intake in relation to diabetes risk after adjustment for age, gender, BMI, waist circumference, physical activity, smoking status, drinking habits, and examination site. Significant interactions between CDKAL1 rs7756992 and dietary protein and fat intake for the risk of diabetes were observed in men (p-value < 0.05). In women, significant interactions between dietary protein and fat intake and CDKAL1 variants (rs7756992) were associated with increased risk of diabetes (p-value < 0.05). Dietary protein and fat intake interacted differently with CDKAL1 variants in relation to the risk of diabetes in Korean adults of both genders. These findings indicate that CDKAL1 variants play a significant role in diabetes and that dietary protein and fat intake could affect these associations.
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Affiliation(s)
- Woo Jeong Choi
- Department of Food and Nutrition, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea;
| | - Hyun-Seok Jin
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Korea; (H.-S.J.); (S.-S.K.)
| | - Sung-Soo Kim
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Korea; (H.-S.J.); (S.-S.K.)
| | - Dayeon Shin
- Department of Food and Nutrition, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea;
- Correspondence: ; Tel.: +82-32-860-8123
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17
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Krentz NAJ, Gloyn AL. Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics. Nat Rev Endocrinol 2020; 16:202-212. [PMID: 32099086 DOI: 10.1038/s41574-020-0325-0] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/17/2020] [Indexed: 12/30/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is an increasingly prevalent multifactorial disease that has both genetic and environmental risk factors, resulting in impaired glucose homeostasis. Genome-wide association studies (GWAS) have identified over 400 genetic signals that are associated with altered risk of T2DM. Human physiology and epigenomic data support a central role for the pancreatic islet in the pathogenesis of T2DM. This Review focuses on the promises and challenges of moving from genetic associations to molecular mechanisms and highlights efforts to identify the causal variant and effector transcripts at T2DM GWAS susceptibility loci. In addition, we examine current human models that are used to study both β-cell development and function, including EndoC-β cell lines and human induced pluripotent stem cell-derived β-like cells. We use examples of four T2DM susceptibility loci (CDKAL1, MTNR1B, SLC30A8 and PAM) to emphasize how a holistic approach involving genetics, physiology, and cellular and developmental biology can disentangle disease mechanisms at T2DM GWAS signals.
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Affiliation(s)
- Nicole A J Krentz
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Anna L Gloyn
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK.
- Stanford Diabetes Research Centre, Stanford University, Stanford, CA, USA.
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18
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Santos MCFD, Anderson CP, Neschen S, Zumbrennen-Bullough KB, Romney SJ, Kahle-Stephan M, Rathkolb B, Gailus-Durner V, Fuchs H, Wolf E, Rozman J, de Angelis MH, Cai WM, Rajan M, Hu J, Dedon PC, Leibold EA. Irp2 regulates insulin production through iron-mediated Cdkal1-catalyzed tRNA modification. Nat Commun 2020; 11:296. [PMID: 31941883 PMCID: PMC6962211 DOI: 10.1038/s41467-019-14004-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 12/06/2019] [Indexed: 12/12/2022] Open
Abstract
Regulation of cellular iron homeostasis is crucial as both iron excess and deficiency cause hematological and neurodegenerative diseases. Here we show that mice lacking iron-regulatory protein 2 (Irp2), a regulator of cellular iron homeostasis, develop diabetes. Irp2 post-transcriptionally regulates the iron-uptake protein transferrin receptor 1 (TfR1) and the iron-storage protein ferritin, and dysregulation of these proteins due to Irp2 loss causes functional iron deficiency in β cells. This impairs Fe-S cluster biosynthesis, reducing the function of Cdkal1, an Fe-S cluster enzyme that catalyzes methylthiolation of t6A37 in tRNALysUUU to ms2t6A37. As a consequence, lysine codons in proinsulin are misread and proinsulin processing is impaired, reducing insulin content and secretion. Iron normalizes ms2t6A37 and proinsulin lysine incorporation, restoring insulin content and secretion in Irp2-/- β cells. These studies reveal a previously unidentified link between insulin processing and cellular iron deficiency that may have relevance to type 2 diabetes in humans.
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Affiliation(s)
- Maria C Ferreira Dos Santos
- Department of Medicine, Division of Hematology, University of Utah, Salt Lake City, UT, 84112, USA.,Molecular Medicine Program, University of Utah, Salt Lake City, UT, 84112, USA
| | - Cole P Anderson
- Molecular Medicine Program, University of Utah, Salt Lake City, UT, 84112, USA.,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, 84112, USA.,Landstuhl Regional Medical Center, 66849, Landstuhl, Germany
| | - Susanne Neschen
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Kimberly B Zumbrennen-Bullough
- Molecular Medicine Program, University of Utah, Salt Lake City, UT, 84112, USA.,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, 84112, USA
| | - Steven J Romney
- Department of Medicine, Division of Hematology, University of Utah, Salt Lake City, UT, 84112, USA.,Molecular Medicine Program, University of Utah, Salt Lake City, UT, 84112, USA.,Thermo Fisher Scientific, Waltham, MA, 02451, USA
| | - Melanie Kahle-Stephan
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,Medizinische Hochschule Brandenburg Theodor Fontane Institut für Sozialmedizin und Epidemiologie, 14770, Brandenburg an der Havel, Germany
| | - Birgit Rathkolb
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen Strasse 25, 81377, Munich, Germany
| | - Valerie Gailus-Durner
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Helmut Fuchs
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen Strasse 25, 81377, Munich, Germany
| | - Jan Rozman
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prumyslova, 595, 252 50 Vestec, Czech Republic
| | - Martin Hrabe de Angelis
- German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.,Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Alte Akademie 8, 85354, Freising, Germany
| | - Weiling Maggie Cai
- Department of Microbiology, National University of Singapore, Singapore, Singapore, 119077.,Antimicrobial Resistance Interdisciplinary Research Group (IRG), Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore, Singapore, 138602.,Agilent Technologies, 1 Yishun Ave 7, Singapore, Singapore, 768923
| | - Malini Rajan
- Department of Medicine, Division of Hematology, University of Utah, Salt Lake City, UT, 84112, USA.,Molecular Medicine Program, University of Utah, Salt Lake City, UT, 84112, USA
| | - Jennifer Hu
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Celgene Corporation, 1616 Eastlake Ave East, Seattle, WA, 98102, USA
| | - Peter C Dedon
- Antimicrobial Resistance Interdisciplinary Research Group (IRG), Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore, Singapore, 138602.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Elizabeth A Leibold
- Department of Medicine, Division of Hematology, University of Utah, Salt Lake City, UT, 84112, USA. .,Molecular Medicine Program, University of Utah, Salt Lake City, UT, 84112, USA. .,Department of Oncological Sciences, University of Utah, Salt Lake City, UT, 84112, USA.
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19
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Human Physiology of Genetic Defects Causing Beta-cell Dysfunction. J Mol Biol 2020; 432:1579-1598. [PMID: 31953147 DOI: 10.1016/j.jmb.2019.12.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/17/2019] [Accepted: 12/18/2019] [Indexed: 02/07/2023]
Abstract
The last decade has revealed hundreds of genetic variants associated with type 2 diabetes, many especially with insulin secretion. However, the evidence for their single or combined effect on beta-cell function relies mostly on genetic association of the variants or genetic risk scores with simple traits, and few have been functionally fully characterized even in cell or animal models. Translating the measured traits into human physiology is not straightforward: none of the various indices for beta-cell function or insulin sensitivity recapitulates the dynamic interplay between glucose sensing, endogenous glucose production, insulin production and secretion, insulin clearance, insulin resistance-to name just a few factors. Because insulin sensitivity is a major determinant of physiological need of insulin, insulin secretion should be evaluated in parallel with insulin sensitivity. On the other hand, multiple physiological or pathogenic processes can either mask or unmask subtle defects in beta-cell function. Even in monogenic diabetes, a clearly pathogenic genetic variant can result in different phenotypic characteristics-or no phenotype at all. In this review, we evaluate the methods available for studying beta-cell function in humans, critically examine the evidence linking some identified variants to a specific beta-cell phenotype, and highlight areas requiring further study.
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20
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Nfor ON, Ndzinisa NB, Tsai M, Hsiao CH, Liaw YP. Interactive Effect of IGF2BP2 rs4402960 Variant, Smoking and Type 2 Diabetes. Diabetes Metab Syndr Obes 2020; 13:5097-5102. [PMID: 33408493 PMCID: PMC7779857 DOI: 10.2147/dmso.s289642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/10/2020] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Genetic and environmental factors are related to type 2 diabetes (T2D). Genetic modifiers of T2D have not been widely determined among smoking individuals. In this population-based study, we investigated the interactive association between rs4402960 polymorphism of the insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) gene and smoking with T2D among Taiwanese adults. MATERIALS AND METHODS We obtained genetic data collected between 2008 and 2018 for 22,039 participants (aged 30-70 years) from the Taiwan Biobank (TWB) database. These data were analyzed using the t-test, Chi-square (χ 2) test, and multiple logistic regression. RESULTS The mean ages for participants with and without diabetes were 58.11±8.75 and 48.58±11, respectively. Compared with the rs4402960 GG genotype, the odds ratio (OR) for T2D was 1.261 among GT and 1.545 among TT genotype individuals (p<0.05). Current smokers compared to nonsmokers were associated with a higher risk of T2D (OR=1.266, p=0.0404). There was a significant interaction between the IGF2BP2 rs4402960 variant and smoking on T2D (p = 0.0497). After stratification by rs4402960 genotypes and smoking status, the OR was substantial only in current smokers with GG genotype (OR, 1.663, p = 0.0008). CONCLUSION This population-based study indicated that the risk for T2D was stronger among current smoking rs4402960 GG individuals recruited between 2008 and 2019 in Taiwan.
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Affiliation(s)
- Oswald Ndi Nfor
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City40201, Taiwan
| | - Nokuphila Balindile Ndzinisa
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City40201, Taiwan
| | - Meng‑Hsiun Tsai
- Department of Management Information Systems, National Chung Hsing University, Taichung, Taiwan
| | - Chih-Hsuan Hsiao
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City40201, Taiwan
| | - Yung-Po Liaw
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City40201, Taiwan
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung City40201, Taiwan
- Correspondence: Yung-Po Liaw Department of Public Health and Institute of Public Health, Chung Shan Medical University, No. 110, Sec. 1 Jianguo N. Road, Taichung City40201, TaiwanTel +886-4-24730022 ext.11838Fax +886-4-23248179 Email
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21
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Gan WZ, Ramachandran V, Lim CSY, Koh RY. Omics-based biomarkers in the diagnosis of diabetes. J Basic Clin Physiol Pharmacol 2019; 31:/j/jbcpp.ahead-of-print/jbcpp-2019-0120/jbcpp-2019-0120.xml. [PMID: 31730525 DOI: 10.1515/jbcpp-2019-0120] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 10/07/2019] [Indexed: 02/06/2023]
Abstract
Diabetes mellitus (DM) is a group of metabolic diseases related to the dysfunction of insulin, causing hyperglycaemia and life-threatening complications. Current early screening and diagnostic tests for DM are based on changes in glucose levels and autoantibody detection. This review evaluates recent studies on biomarker candidates in diagnosing type 1, type 2 and gestational DM based on omics classification, whilst highlighting the relationship of these biomarkers with the development of diabetes, diagnostic accuracy, challenges and future prospects. In addition, it also focuses on possible non-invasive biomarker candidates besides common blood biomarkers.
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Affiliation(s)
- Wei Zien Gan
- Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia
| | - Valsala Ramachandran
- Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia
| | - Crystale Siew Ying Lim
- Department of Biotechnology, Faculty of Applied Sciences, UCSI University Kuala Lumpur, 56000 Kuala Lumpur, Malaysia
| | - Rhun Yian Koh
- Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia, Phone: +60327317207
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22
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Zhou Z, Sun B, Huang S, Jia W, Yu D. The tRNA-associated dysregulation in diabetes mellitus. Metabolism 2019; 94:9-17. [PMID: 30711570 DOI: 10.1016/j.metabol.2019.01.017] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 01/26/2019] [Accepted: 01/30/2019] [Indexed: 12/26/2022]
Abstract
Diabetes mellitus (DM) is a complex endocrine and metabolic disorder for human health and well-being. Deregulated glucose and lipid metabolism are the primary underlying manifestations associated with this disease. Transfer RNAs (tRNAs) are considered to mainly participate in protein translation and may contribute to complex human pathologies. Although the molecular mechanisms remain, for the most part, unknown, accumulating evidence indicates that tRNAs play a vital role in the pathogenesis of DM. This paper reviews different aspects of tRNA-associated dysregulation in DM, such as tRNA mutations, tRNA modifications, tRNA aminoacylation and tRNA derivatives, aiming at a better understanding of the pathogenesis of DM and providing new ideas for the personalized treatment of this metabolism-associated disease.
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Affiliation(s)
- Zheng Zhou
- Department of Chinese Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410000, China; Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha 410000, China
| | - Shiqiong Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410000, China; Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha 410000, China
| | - Wenrui Jia
- Department of Chinese Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Dongsheng Yu
- Department of Chinese Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
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23
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Witka BZ, Oktaviani DJ, Marcellino M, Barliana MI, Abdulah R. Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors. Diabetes Metab Syndr Obes 2019; 12:2689-2706. [PMID: 31908510 PMCID: PMC6927489 DOI: 10.2147/dmso.s230061] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 11/19/2019] [Indexed: 12/18/2022] Open
Abstract
Diabetes is a major cause of mortality worldwide. There are several types of diabetes, with type 2 diabetes mellitus (T2DM) being the most common. Many factors, including environmental and genetic factors, are involved in the etiology of the disease. Numerous studies have reported the role of genetic polymorphisms in the initiation and development of T2DM. While genome-wide association studies have identified around more than 200 susceptibility loci, it remains unclear whether these loci are correlated with the pathophysiology of the disease. The present review aimed to elucidate the potential genetic mechanisms underlying T2DM. We found that some genetic polymorphisms were related to T2DM, either in the form of single-nucleotide polymorphisms or direct amino acid changes in proteins. These polymorphisms are potential predictors for the management of T2DM.
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Affiliation(s)
- Beska Z Witka
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Dede J Oktaviani
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Marcellino Marcellino
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Melisa I Barliana
- Departement of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jatinangor, Indonesia
- Correspondence: Melisa I Barliana Department of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jl. Raya Bandung Sumedang KM. 21, Jatinangor45363, Indonesia Email
| | - Rizky Abdulah
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jatinangor, Indonesia
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Daily Yogurt Consumption Improves Glucose Metabolism and Insulin Sensitivity in Young Nondiabetic Japanese Subjects with Type-2 Diabetes Risk Alleles. Nutrients 2018; 10:nu10121834. [PMID: 30501031 PMCID: PMC6316314 DOI: 10.3390/nu10121834] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 11/12/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022] Open
Abstract
This study investigated whether the association between postprandial plasma glucose (PPG) is affected by five type 2 diabetes mellitus (T2DM) susceptibility genes, and whether four weeks of yogurt consumption would affect these responses. We performed a single-arm intervention study in young nondiabetic Japanese participants, who consumed 150 g yogurt daily for four weeks, after which a rice test meal containing 50 g carbohydrate was administered. PPG and postprandial serum insulin (PSI) were measured between 0 and 120 mins at baseline and after the intervention. Genetic risk was evaluated by weighted genetic risk score (GRS) according to published methodology, and participants were assigned to one of two groups (n = 17: L-GRS group and n = 15: H-GRS group) according to the median of weighted GRS. At baseline, the H-GRS group had higher glucose area under the curve0–120 min after intake of the test meal than the L-GRS group (2175 ± 248 mg/dL.min vs. 1348 ± 199 mg/dL.min, p < 0.001), but there were no significant differences after the yogurt intervention. However, there was an improvement in PSI in the H-GRS group compared with baseline. These results suggest that habitual yogurt consumption may improve glucose and insulin responses in nondiabetic subjects who have genetically higher PPG.
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Wei FY, Tomizawa K. tRNA modifications and islet function. Diabetes Obes Metab 2018; 20 Suppl 2:20-27. [PMID: 30230180 DOI: 10.1111/dom.13405] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 05/30/2018] [Accepted: 06/04/2018] [Indexed: 12/26/2022]
Abstract
Efficient and accurate protein translation is essential to producing insulin in pancreatic β-cells. Transfer RNA (tRNA) is known as the key component of the protein translational machinery. Interestingly, tRNA contains a wide variety of chemical modifications, which are posttranscriptionally catalysed by tRNA modifying enzymes. Recent advances in genome-sequencing technology have unveiled a number of genetic variations that are associated with the development of type 2 diabetes (T2D). Some of these mutations are located in the genes of tRNA modifying enzymes. Using cellular and animal models, it has been showed that dysregulation of tRNA modification impairs protein translation in pancreatic β-cells and leads to aberrant insulin production. In this review, we discuss the recent findings in the molecular functions of tRNA modifications and their involvement in the development of T2D.
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Affiliation(s)
- Fan-Yan Wei
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Kazuhito Tomizawa
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
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Soltani G, Hatefi Z, Salehi AR, Khosravi S, Ghiasi MR, Teke K, Aminorroaya A, Salehi R. Pharmacogenomics of Sulfonylureas Response in Relation to rs7754840 Polymorphisms in Cyclin-Dependent Kinase 5 Regulatory Subunit-associated Protein 1-like (CDKAL1) Gene in Iranian Type 2 Diabetes Patients. Adv Biomed Res 2018; 7:96. [PMID: 30050884 PMCID: PMC6036778 DOI: 10.4103/abr.abr_144_17] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: Sulfonylureas are important drugs of choice for treatment of type 2 diabetes mellitus (T2DM). It is suggested that differential response to sulfonylureas from T2DM patients is under influence of single nucleotide polymorphisms in some of the target genes. In spite of favorable therapeutic effects, sulfonylureas are associated with some adverse side effects such as microvascular complications and stroke, especially in older patients. Therefore, for T2DM patients who are getting less benefit, sulfonylureas should be avoided. Cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like (CDKAL1) gene variation is reported to be associated with sulfonylureas effectiveness. Due to the inconsistency of available data regarding association of rs7754840 in CDKAL1 gene with sulfonylureas response in T2DM patients, the present study is conducted. Materials and Methods: Fifty-one diabetic patients sensitive to sulfonylureas and 51 patients resistant to sulfonylureas treatment were recruited to this study. After extraction of DNA from patients' peripheral blood samples, rs7754840 single-nucleotide polymorphism was genotyped by polymerase chain reaction-restriction fragment length polymorphism assay using MaeII (Tail) restriction enzyme. Results: Frequency of G allele in resistant group was more than sensitive group (71, 6% vs. 57, 8%). Regression analysis was shown significant association between GG genotype and higher risk of resistance to sulfonylureas treatment (odds ratio = 2.250 [95% confidential intervals: 1.010–5.012]; P = 0.046). Conclusion: Our data confirmed that genotypes of rs7754840 are significantly associated with sulfonylureas treatment response. rs7754840 in CDKAL1 gene in combination with other clinicopathological findings would help to move towards personalized therapy of T2DM patients.
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Affiliation(s)
- Goljahan Soltani
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Zahra Hatefi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Ahmad Reza Salehi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Sharifeh Khosravi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Moosa Rahimi Ghiasi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Keimer Teke
- Iranian Blood Transfusion Organization Research Centre, Tehran, Iran
| | - Ashraf Aminorroaya
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Rasoul Salehi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
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Al Abri MA, Posbergh C, Palermo K, Sutter NB, Eberth J, Hoffman GE, Brooks SA. Genome-Wide Scans Reveal a Quantitative Trait Locus for Withers Height in Horses Near the ANKRD1 Gene. J Equine Vet Sci 2018. [DOI: 10.1016/j.jevs.2017.05.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Wood AR, Jonsson A, Jackson AU, Wang N, van Leewen N, Palmer ND, Kobes S, Deelen J, Boquete-Vilarino L, Paananen J, Stančáková A, Boomsma DI, de Geus EJC, Eekhoff EMW, Fritsche A, Kramer M, Nijpels G, Simonis-Bik A, van Haeften TW, Mahajan A, Boehnke M, Bergman RN, Tuomilehto J, Collins FS, Mohlke KL, Banasik K, Groves CJ, McCarthy MI, Pearson ER, Natali A, Mari A, Buchanan TA, Taylor KD, Xiang AH, Gjesing AP, Grarup N, Eiberg H, Pedersen O, Chen YD, Laakso M, Norris JM, Smith U, Wagenknecht LE, Baier L, Bowden DW, Hansen T, Walker M, Watanabe RM, 't Hart LM, Hanson RL, Frayling TM. A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants. Diabetes 2017; 66:2296-2309. [PMID: 28490609 PMCID: PMC5521867 DOI: 10.2337/db16-1452] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 05/02/2017] [Indexed: 01/19/2023]
Abstract
Understanding the physiological mechanisms by which common variants predispose to type 2 diabetes requires large studies with detailed measures of insulin secretion and sensitivity. Here we performed the largest genome-wide association study of first-phase insulin secretion, as measured by intravenous glucose tolerance tests, using up to 5,567 individuals without diabetes from 10 studies. We aimed to refine the mechanisms of 178 known associations between common variants and glycemic traits and identify new loci. Thirty type 2 diabetes or fasting glucose-raising alleles were associated with a measure of first-phase insulin secretion at P < 0.05 and provided new evidence, or the strongest evidence yet, that insulin secretion, intrinsic to the islet cells, is a key mechanism underlying the associations at the HNF1A, IGF2BP2, KCNQ1, HNF1B, VPS13C/C2CD4A, FAF1, PTPRD, AP3S2, KCNK16, MAEA, LPP, WFS1, and TMPRSS6 loci. The fasting glucose-raising allele near PDX1, a known key insulin transcription factor, was strongly associated with lower first-phase insulin secretion but has no evidence for an effect on type 2 diabetes risk. The diabetes risk allele at TCF7L2 was associated with a stronger effect on peak insulin response than on C-peptide-based insulin secretion rate, suggesting a possible additional role in hepatic insulin clearance or insulin processing. In summary, our study provides further insight into the mechanisms by which common genetic variation influences type 2 diabetes risk and glycemic traits.
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Affiliation(s)
- Andrew R Wood
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Royal Devon and Exeter Hospital, Exeter, U.K
| | - Anna Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI
| | - Nan Wang
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Diabetes & Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Nienke van Leewen
- Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Joris Deelen
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Lorena Boquete-Vilarino
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Royal Devon and Exeter Hospital, Exeter, U.K
| | - Jussi Paananen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Alena Stančáková
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University, Amsterdam, the Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology, VU University, Amsterdam, the Netherlands
| | - Elisabeth M W Eekhoff
- Diabetes Center, Internal Medicine Unit, VU University Medical Center, Amsterdam, the Netherlands
| | - Andreas Fritsche
- Division of Endocrinology, Diabetology, Angiology, Nephrology and Clinical Chemistry, Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
| | - Mark Kramer
- Diabetes Center, Internal Medicine Unit, VU University Medical Center, Amsterdam, the Netherlands
| | - Giel Nijpels
- EMGO+ Institute for Health and Care Research, VU University Medical Center, Department of General Practice, Amsterdam, the Netherlands
| | - Annemarie Simonis-Bik
- Diabetes Center, Internal Medicine Unit, VU University Medical Center, Amsterdam, the Netherlands
| | - Timon W van Haeften
- Department of Internal Medicine, Utrecht University Medical Center, Utrecht, the Netherlands
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI
| | - Richard N Bergman
- Diabetes & Obesity Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Jaakko Tuomilehto
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Department of Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Francis S Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Karina Banasik
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Christopher J Groves
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, U.K
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, U.K
- Oxford Biomedical Research Centre, National Institute for Health Research, Churchill Hospital, Oxford, U.K
| | | | - Andrea Natali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Andrea Mari
- Institute of Neuroscience, National Research Council, Padova, Italy
| | - Thomas A Buchanan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Diabetes & Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
- Department of Pediatrics, University of California, Los Angeles, Los Angeles, CA
| | - Anny H Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Anette P Gjesing
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hans Eiberg
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yii-Derr Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - Ulf Smith
- Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Leslie Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle, U.K.
| | - Richard M Watanabe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Diabetes & Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Leen M 't Hart
- Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Epidemiology and Biostatistics, EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Timothy M Frayling
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Royal Devon and Exeter Hospital, Exeter, U.K.
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Palmer CJ, Bruckner RJ, Paulo JA, Kazak L, Long JZ, Mina AI, Deng Z, LeClair KB, Hall JA, Hong S, Zushin PJH, Smith KL, Gygi SP, Hagen S, Cohen DE, Banks AS. Cdkal1, a type 2 diabetes susceptibility gene, regulates mitochondrial function in adipose tissue. Mol Metab 2017; 6:1212-1225. [PMID: 29031721 PMCID: PMC5641635 DOI: 10.1016/j.molmet.2017.07.013] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 07/20/2017] [Accepted: 07/25/2017] [Indexed: 01/03/2023] Open
Abstract
Objectives Understanding how loci identified by genome wide association studies (GWAS) contribute to pathogenesis requires new mechanistic insights. Variants within CDKAL1 are strongly linked to an increased risk of developing type 2 diabetes and obesity. Investigations in mouse models have focused on the function of Cdkal1 as a tRNALys modifier and downstream effects of Cdkal1 loss on pro-insulin translational fidelity in pancreatic β−cells. However, Cdkal1 is broadly expressed in other metabolically relevant tissues, including adipose tissue. In addition, the Cdkal1 homolog Cdk5rap1 regulates mitochondrial protein translation and mitochondrial function in skeletal muscle. We tested whether adipocyte-specific Cdkal1 deletion alters systemic glucose homeostasis or adipose mitochondrial function independently of its effects on pro-insulin translation and insulin secretion. Methods We measured mRNA levels of type 2 diabetes GWAS genes, including Cdkal1, in adipose tissue from lean and obese mice. We then established a mouse model with adipocyte-specific Cdkal1 deletion. We examined the effects of adipose Cdkal1 deletion using indirect calorimetry on mice during a cold temperature challenge, as well as by measuring cellular and mitochondrial respiration in vitro. We also examined brown adipose tissue (BAT) mitochondrial morphology by electron microscopy. Utilizing co-immunoprecipitation followed by mass spectrometry, we performed interaction mapping to identify new CDKAL1 binding partners. Furthermore, we tested whether Cdkal1 loss in adipose tissue affects total protein levels or accurate Lys incorporation by tRNALys using quantitative mass spectrometry. Results We found that Cdkal1 mRNA levels are reduced in adipose tissue of obese mice. Using adipose-specific Cdkal1 KO mice (A-KO), we demonstrated that mitochondrial function is impaired in primary differentiated brown adipocytes and in isolated mitochondria from A-KO brown adipose tissue. A-KO mice displayed decreased energy expenditure during 4 °C cold challenge. Furthermore, mitochondrial morphology was highly abnormal in A-KO BAT. Surprisingly, we found that lysine codon representation was unchanged in Cdkal1 A-KO adipose tissue. We identified novel protein interactors of CDKAL1, including SLC25A4/ANT1, an inner mitochondrial membrane ADP/ATP translocator. ANT proteins can account for the UCP1-independent basal proton leak in BAT mitochondria. Cdkal1 A-KO mice had increased ANT1 protein levels in their white adipose tissue. Conclusions Cdkal1 is necessary for normal mitochondrial morphology and function in adipose tissue. These results suggest that the type 2 diabetes susceptibility gene CDKAL1 has novel functions in regulating mitochondrial activity. Cdkal1 is a gene most strongly expressed in tissues with high mitochondrial content. Cdkal1 is required for normal mitochondrial morphology and function. Deletion of Cdkal1 in adipose tissue impairs the thermogenic response to a cold challenge. Cdkal1 interacts with ANT1, a mitochondrial ATP/ADP transporter. Loss of Cdkal1 does not affect protein translation as predicted for a tRNA modifying enzyme.
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Affiliation(s)
- Colin J Palmer
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Raphael J Bruckner
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Lawrence Kazak
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Jonathan Z Long
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Amir I Mina
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Zhaoming Deng
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Katherine B LeClair
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Jessica A Hall
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Shangyu Hong
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Peter-James H Zushin
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Kyle L Smith
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Susan Hagen
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - David E Cohen
- Division of Gastroenterology & Hepatology, Weill Cornell Medical College, New York, NY 10065, USA
| | - Alexander S Banks
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA 02115, USA.
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Rosta K, Al-Aissa Z, Hadarits O, Harreiter J, Nádasdi Á, Kelemen F, Bancher-Todesca D, Komlósi Z, Németh L, Rigó J, Sziller I, Somogyi A, Kautzky-Willer A, Firneisz G. Association Study with 77 SNPs Confirms the Robust Role for the rs10830963/G of MTNR1B Variant and Identifies Two Novel Associations in Gestational Diabetes Mellitus Development. PLoS One 2017; 12:e0169781. [PMID: 28072873 PMCID: PMC5224877 DOI: 10.1371/journal.pone.0169781] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 12/21/2016] [Indexed: 12/31/2022] Open
Abstract
CONTEXT Genetic variation in human maternal DNA contributes to the susceptibility for development of gestational diabetes mellitus (GDM). OBJECTIVE We assessed 77 maternal single nucleotide gene polymorphisms (SNPs) for associations with GDM or plasma glucose levels at OGTT in pregnancy. METHODS 960 pregnant women (after dropouts 820: case/control: m99'WHO: 303/517, IADPSG: 287/533) were enrolled in two countries into this case-control study. After genomic DNA isolation the 820 samples were collected in a GDM biobank and assessed using KASP (LGC Genomics) genotyping assay. Logistic regression risk models were used to calculate ORs according to IADPSG/m'99WHO criteria based on standard OGTT values. RESULTS The most important risk alleles associated with GDM were rs10830963/G of MTNR1B (OR = 1.84/1.64 [IADPSG/m'99WHO], p = 0.0007/0.006), rs7754840/C (OR = 1.51/NS, p = 0.016) of CDKAL1 and rs1799884/T (OR = 1.4/1.56, p = 0.04/0.006) of GCK. The rs13266634/T (SLC30A8, OR = 0.74/0.71, p = 0.05/0.02) and rs7578326/G (LOC646736/IRS1, OR = 0.62/0.60, p = 0.001/0.006) variants were associated with lower risk to develop GDM. Carrying a minor allele of rs10830963 (MTNR1B); rs7903146 (TCF7L2); rs1799884 (GCK) SNPs were associated with increased plasma glucose levels at routine OGTT. CONCLUSIONS We confirmed the robust association of MTNR1B rs10830963/G variant with GDM binary and glycemic traits in this Caucasian case-control study. As novel associations we report the minor, G allele of the rs7578326 SNP in the LOC646736/IRS1 region as a significant and the rs13266634/T SNP (SLC30A8) as a suggestive protective variant against GDM development. Genetic susceptibility appears to be more preponderant in individuals who meet both the modified 99'WHO and the IADPSG GDM diagnostic criteria.
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Affiliation(s)
- Klara Rosta
- Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria
- 1 Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary
| | - Zahra Al-Aissa
- 2 Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Orsolya Hadarits
- 1 Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary
| | - Jürgen Harreiter
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Ákos Nádasdi
- 2 Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Fanni Kelemen
- University of Szeged, Faculty of Medicine, Szeged, Hungary
| | | | - Zsolt Komlósi
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
| | - László Németh
- Department of Probability Theory and Statistics, Eötvös Loránd University, Budapest, Hungary
| | - János Rigó
- 1 Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary
| | - István Sziller
- Department of Obstetrics and Gynecology, Szent Imre Teaching Hospital, Budapest, Hungary
| | - Anikó Somogyi
- 2 Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Alexandra Kautzky-Willer
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Gábor Firneisz
- 2 Department of Internal Medicine, Semmelweis University, Budapest, Hungary
- Hungarian Academy of Sciences - Semmelweis University, Molecular Medicine Research Group, Budapest, Hungary
- * E-mail:
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Khodyrev DS, Nikitin AG, Brovkin AN, Lavrikova EY, Lebedeva NO, Vikulova OK, Shamhalova MS, Shestakova MV, Mayorov MY, Potapov VA, Nosikov VV, Averyanov AV. The analysis of association between type 2 diabetes and polymorphic markers in the CDKAL1 gene and in the HHEX/IDE locus. RUSS J GENET+ 2016. [DOI: 10.1134/s1022795416110065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Wang L, Xu W, Wang X. Peroxisome proliferator-activated receptor Pro12Ala polymorphism and the risks of gestational diabetes mellitus: An updated meta-analysis of 12 studies. Medicine (Baltimore) 2016; 95:e5090. [PMID: 27858842 PMCID: PMC5591090 DOI: 10.1097/md.0000000000005090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Peroxisome proliferator-activated receptors-λ (PPAR-λ) is a member of nuclear receptor superfamily and acts as a ligand-dependent transcription factor often found in the adrenal gland, the spleen, and adipose tissue. The Pro12Ala polymorphism of PPAR-λ has been associated with the risks of gestational diabetes mellitus (GDM); however, association studies have provided conflicting results. The aim of this Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) compliant meta-analysis is to reach a more up-to-date and accurate estimation of the relationship between Pro12Ala genetic polymorphisms and the risks of GDM. METHODS Eligible studies were retrieved by searching PubMed, EMBASE, Web of Science, Ovid, WanFang, and Chinese National Knowledge Databases and selected according to a pre-defined inclusion criterion. The risk of bias was assessed using the Newcastle-Ottawa quality assessment scale. The per-allele odds ratio (OR) of risk allele proline (Pro) was compared between cases and controls in each study to describe the association between the Pro allele and an individual's risk of GDM. The ORs were pooled using both the random-effects model (the DerSimonian and Laird method) and the fixed effects model (the Mantel-Haenszel method) and the 95% confidence interval (95% CI) was calculated using Woolf method. RESULTS The final meta-analysis included a total of 11 articles of 12 data sets consisting of 7054 controls and 2980 GDM cases. Our results demonstrate that the Pro allele is not associated with GDM [OR: across multiple populations, 95% CI: 0.98-1.24; P(Z) = 0.01; P(Q) = 0.003]. In the stratified analysis by ethnicity, significantly increased risks were found for the Chinese (OR = 2.36; 95% CI: 1.47-3.78) and Korean (OR = 1.39; 95% CI: 1.00-1.93) populations. CONCLUSION These data suggest the potential role of Pro allele in the pathogenesis of GDM in Asian populations. Although the funnel plot of included studies showed assymetry, the results using the "trim and fill" method did not alter the conclusion of this study.
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Affiliation(s)
- Lihong Wang
- Zhangjiagang Hospital of Chinese Medicine, Zhangjiagang
- Correspondence: Lihong Wang, Zhangjiagang Hospital of Chinese Medicine, Zhangjiagang, Jiangsu, 215600, People's Republic of China (e-mail: )
| | - Wenting Xu
- Zhangjiagang Hospital of Chinese Medicine, Zhangjiagang
| | - Xu Wang
- The First Clinical College, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China
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Abstract
This article describes phenotypes observed in a prediabetic population (i.e. a population with increased risk for type 2 diabetes) from data collected at the University hospital of Tübingen. We discuss the impact of genetic variation on insulin secretion, in particular the effect on compensatory hypersecretion, and the incretin-resistant phenotype of carriers of the gene variant TCF7L2 is described. Imaging studies used to characterise subphenotypes of fat distribution, metabolically healthy obesity and metabolically unhealthy obesity are described. Also discussed are ectopic fat stores in liver and pancreas that determine the phenotype of metabolically healthy and unhealthy fatty liver and the recently recognised phenotype of fatty pancreas. The metabolic impact of perivascular adipose tissue and pancreatic fat is discussed. The role of hepatokines, particularly that of fetuin-A, in the crosstalk between these organs is described. Finally, the role of brain insulin resistance in the development of the different prediabetes phenotypes is discussed.
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Affiliation(s)
- Hans-Ulrich Häring
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.
- Institute of Diabetes Research and Metabolic Diseases (IDM), University of Tübingen, Tübingen, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
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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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Association between IGF2BP2 Polymorphisms and Type 2 Diabetes Mellitus: A Case-Control Study and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13060574. [PMID: 27294943 PMCID: PMC4924031 DOI: 10.3390/ijerph13060574] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Revised: 05/26/2016] [Accepted: 06/01/2016] [Indexed: 12/26/2022]
Abstract
Background: Genome-wide association studies (GWAS) found that IGF2BP2 rs4402960 and rs1470579 polymorphisms were associated with type 2 diabetes mellitus (T2DM) risk. Many studies have replicated this association, but yielded inconsistent results. Materials and Methods: A case-control study consisting of 461 T2DM patients and 434 health controls was conducted to detect the genetic susceptibility of IGF2BP2 in a northern Han Chinese population. A meta-analysis was to evaluate the association more precisely in Asians. Results: In the case-control study, the carriers of TT genotype at rs4402960 had a higher T2DM risk than the G carriers (TG + GG) (adjusted odd ratio (AOR) = 1.962, 95% confidence interval (95% CI) = 1.065–3.612, p = 0.031]; CC carriers at rs1470579 were more susceptible to T2DM than A carriers (CA + AA) (AOR = 2.014, 95% CI = 1.114–3.642, p = 0.021). The meta-analysis containing 36 studies demonstrated that the two polymorphisms were associated with T2DM under the allele comparison, genetic models of dominant and recessive in Asians (p < 0.05). The rs4402960 polymorphisms were significantly associated with the T2DM risk after stratification by diagnostic criterion, size of sample and average age and BMI of cases, while there’re no consistent results for rs1470579. Conclusions: Our data suggests that IGF2BP2 polymorphisms are associated with T2DM in Asian populations.
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Abstract
Gestational diabetes mellitus (GDM) is defined as abnormal glucose tolerance with onset or first recognition during pregnancy. Women with a history of GDM are at long-term risk for developing type 2 diabetes (T2DM), raising the question to what extent GDM and T2DM share a common genetic architecture. Meta-analysis of candidate gene studies and genome-wide association analysis (GWAS) have identified a number of genes which are reproducibly associated with GDM, including TCF7L2, GCK, KCNJ11, KCNQ1, CDKAL1, IGF2BP2, MTNR1B, and IRS1. These genes are also associated with T2DM. Candidate gene and GWAS have also identified genes associated with maternal metabolic traits, most of which are also associated with metabolic traits in the general population. Two genes, BACE2 and HKDC1, are uniquely associated with maternal metabolic traits. These studies suggest that there are similarities and differences between the genetic architecture of GDM and T2DM and metabolic quantitative traits in pregnant and non-pregnant populations.
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Affiliation(s)
- William L Lowe
- Division of Endocrinology, Metabolism, and Molecular Medicine and Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff Building 420 E. Superior St., 12th Floor, Chicago, IL, 60611, USA.
| | - Denise M Scholtens
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Suite 1400 680 N Lake Shore Drive, Chicago, IL, 60611, USA.
| | - Victoria Sandler
- Division of Endocrinology, Metabolism, and Molecular Medicine and Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff Building 420 E. Superior St., 12th Floor, Chicago, IL, 60611, USA.
- Division of Endocrinology, Metabolism and Molecular Medicine, Suite 530, 645 N Michigan Avenue, Chicago, IL, 60611, USA.
| | - M Geoffrey Hayes
- Division of Endocrinology, Metabolism, and Molecular Medicine and Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff Building 420 E. Superior St., 12th Floor, Chicago, IL, 60611, USA.
- Division of Endocrinology, Metabolism and Molecular Medicine, Tarry Building, Room 15-759, 300 E Chicago Ave, Chicago, IL, 60611, USA.
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Erchen Decoction Prevents High-Fat Diet Induced Metabolic Disorders in C57BL/6 Mice. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2015; 2015:501272. [PMID: 26504476 PMCID: PMC4609407 DOI: 10.1155/2015/501272] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2015] [Accepted: 09/03/2015] [Indexed: 12/14/2022]
Abstract
Erchen decoction (ECD) is a traditional Chinese medicine prescription, which is used in the treatment of obesity, hyperlipidemia, fatty liver, diabetes, hypertension, and other diseases caused by retention of phlegm dampness. In this study we investigated the potential mechanism of ECD, using metabolism-disabled mice induced by high-fat diet. Body weight and abdominal circumference were detected. OGTT was measured by means of collecting blood samples from the tail vein. Blood lipid levels and insulin were measured using biochemical assay kit. Real-time PCR was used to measure the CDKAL1 gene expression and western blot was used to measure the protein expression. Through the research, it was found that ECD showed markedly lower body weight and abdominal circumference than those in the HFD group. Consistently, we observed that ECD significantly improved glucose tolerance, promoted the secretion of insulin and decreased the level of TG, TC level. Meanwhile, we observed significantly increased CDKAL1 mRNA and protein level in the ECD group. Therefore, we speculate that the potential molecular mechanism of ECD is to promote the CDKAL1 expression, ameliorate islet cell function, and raise insulin levels to regulate the metabolic disorder.
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Schwede F, Chepurny OG, Kaufholz M, Bertinetti D, Leech CA, Cabrera O, Zhu Y, Mei F, Cheng X, Manning Fox JE, MacDonald PE, Genieser HG, Herberg FW, Holz GG. Rp-cAMPS Prodrugs Reveal the cAMP Dependence of First-Phase Glucose-Stimulated Insulin Secretion. Mol Endocrinol 2015; 29:988-1005. [PMID: 26061564 DOI: 10.1210/me.2014-1330] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
cAMP-elevating agents such as the incretin hormone glucagon-like peptide-1 potentiate glucose-stimulated insulin secretion (GSIS) from pancreatic β-cells. However, a debate has existed since the 1970s concerning whether or not cAMP signaling is essential for glucose alone to stimulate insulin secretion. Here, we report that the first-phase kinetic component of GSIS is cAMP-dependent, as revealed through the use of a novel highly membrane permeable para-acetoxybenzyl (pAB) ester prodrug that is a bioactivatable derivative of the cAMP antagonist adenosine-3',5'-cyclic monophosphorothioate, Rp-isomer (Rp-cAMPS). In dynamic perifusion assays of human or rat islets, a step-wise increase of glucose concentration leads to biphasic insulin secretion, and under these conditions, 8-bromoadenosine-3',5'-cyclic monophosphorothioate, Rp-isomer, 4-acetoxybenzyl ester (Rp-8-Br-cAMPS-pAB) inhibits first-phase GSIS by up to 80%. Surprisingly, second-phase GSIS is inhibited to a much smaller extent (≤20%). Using luciferase, fluorescence resonance energy transfer, and bioluminescence resonance energy transfer assays performed in living cells, we validate that Rp-8-Br-cAMPS-pAB does in fact block cAMP-dependent protein kinase activation. Novel effects of Rp-8-Br-cAMPS-pAB to block the activation of cAMP-regulated guanine nucleotide exchange factors (Epac1, Epac2) are also validated using genetically encoded Epac biosensors, and are independently confirmed in an in vitro Rap1 activation assay using Rp-cAMPS and Rp-8-Br-cAMPS. Thus, in addition to revealing the cAMP dependence of first-phase GSIS from human and rat islets, these findings establish a pAB-based chemistry for the synthesis of highly membrane permeable prodrug derivatives of Rp-cAMPS that act with micromolar or even nanomolar potency to inhibit cAMP signaling in living cells.
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Affiliation(s)
- Frank Schwede
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Oleg G Chepurny
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Melanie Kaufholz
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Daniela Bertinetti
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Colin A Leech
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Over Cabrera
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Yingmin Zhu
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Fang Mei
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Xiaodong Cheng
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Jocelyn E Manning Fox
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Patrick E MacDonald
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Hans-G Genieser
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - Friedrich W Herberg
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
| | - George G Holz
- BIOLOG Life Science Institute (F.S., H.-G.G.), 28199 Bremen, Germany; Departments of Medicine (O.G.C., C.A.L., G.G.H.) and Pharmacology (G.G.H.), State University of New York, Upstate Medical University, Syracuse, New York 13210; Department of Biochemistry (M.K., D.B., F.W.H.), University of Kassel, 34132 Kassel, Germany; Eli Lilly and Company (O.C.), Indianapolis, Indiana 46225; Department of Integrative Biology and Pharmacology (Y.Z., F.M., X.C.), Texas Therapeutics Institute, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, Texas 77030; Department of Pharmacology and the Alberta Diabetes Institute (J.E.M.F., P.E.M.), University of Alberta, Edmonton, Canada AB T6G 2E1
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Liao S, Liu Y, Chen X, Tan Y, Mei J, Song W, Gan L, Wang H, Yin S, Dong X, Chi S, Deng S. The Impact of Genetic Variants for Different Physiological Characterization of Type 2 Diabetes Loci on Gestational Insulin Signaling in Nondiabetic Pregnant Chinese Women. Reprod Sci 2015; 22:1421-8. [DOI: 10.1177/1933719115580995] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Shunyao Liao
- Diabetes Center & Institute of Transplantation, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yunqiang Liu
- Department of Medical Genetics, Division of Morbid Genomics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaojuan Chen
- Columbia Center for Translational Immunology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Yuande Tan
- College of Life Science, Hunan Normal University, Changsha, Hunan, China
| | - Jie Mei
- Department of Obstetrics and Gynecology, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenzhong Song
- Department of Nuclear Medicine, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Lu Gan
- Diabetes Center & Institute of Transplantation, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hailian Wang
- Diabetes Center & Institute of Transplantation, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Shi Yin
- Diabetes Center & Institute of Transplantation, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xianjue Dong
- Diabetes Center & Institute of Transplantation, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Shu Chi
- Department of Nuclear Medicine, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Shaoping Deng
- Diabetes Center & Institute of Transplantation, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Human Islet Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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40
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Dai N, Zhao L, Wrighting D, Krämer D, Majithia A, Wang Y, Cracan V, Borges-Rivera D, Mootha VK, Nahrendorf M, Thorburn DR, Minichiello L, Altshuler D, Avruch J. IGF2BP2/IMP2-Deficient mice resist obesity through enhanced translation of Ucp1 mRNA and Other mRNAs encoding mitochondrial proteins. Cell Metab 2015; 21:609-21. [PMID: 25863250 PMCID: PMC4663978 DOI: 10.1016/j.cmet.2015.03.006] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 09/28/2014] [Accepted: 03/02/2015] [Indexed: 01/01/2023]
Abstract
Although variants in the IGF2BP2/IMP2 gene confer risk for type 2 diabetes, IMP2, an RNA binding protein, is not known to regulate metabolism. Imp2(-/-) mice gain less lean mass after weaning and have increased lifespan. Imp2(-/-) mice are highly resistant to diet-induced obesity and fatty liver and display superior glucose tolerance and insulin sensitivity, increased energy expenditure, and better defense of core temperature on cold exposure. Imp2(-/-) brown fat and Imp2(-/-) brown adipocytes differentiated in vitro contain more UCP1 polypeptide than Imp2(+/+) despite similar levels of Ucp1 mRNA; the Imp2(-/-)adipocytes also exhibit greater uncoupled oxygen consumption. IMP2 binds the mRNAs encoding Ucp1 and other mitochondrial components, and most exhibit increased translational efficiency in the absence of IMP2. In vitro IMP2 inhibits translation of mRNAs bearing the Ucp1 untranslated segments. Thus IMP2 limits longevity and regulates nutrient and energy metabolism in the mouse by controlling the translation of its client mRNAs.
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Affiliation(s)
- Ning Dai
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Liping Zhao
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Diedra Wrighting
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Dana Krämer
- European Molecular Biology Laboratory, Mouse Biology Unit, 00015-Monterotondo, Italy
| | - Amit Majithia
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Yanqun Wang
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Valentin Cracan
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Diego Borges-Rivera
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Vamsi K Mootha
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Matthias Nahrendorf
- Department of Radiology and the Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
| | - David R Thorburn
- Murdoch Childrens Research Institute and Victorian Clinical Genetics Services, Royal Children's Hospital, Flemington Road, Parkville, Melbourne, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Liliana Minichiello
- European Molecular Biology Laboratory, Mouse Biology Unit, 00015-Monterotondo, Italy; Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK
| | - David Altshuler
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
| | - Joseph Avruch
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Diabetes Unit, Medical Services, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
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41
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Banting LK, Pushkarev VP, Cieszczyk P, Zarebska A, Maciejewska-Karlowska A, Sawczuk MA, Leońska-Duniec A, Dyatlov DA, Orekhov EF, Degtyarev AV, Pushkareva YE, Yan X, Birk R, Eynon N. Elite athletes' genetic predisposition for altered risk of complex metabolic traits. BMC Genomics 2015; 16:25. [PMID: 25612568 PMCID: PMC4320608 DOI: 10.1186/s12864-014-1199-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 12/22/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic variants may predispose humans to elevated risk of common metabolic morbidities such as obesity and Type 2 Diabetes (T2D). Some of these variants have also been shown to influence elite athletic performance and the response to exercise training. We compared the genotype distribution of five genetic Single Nucleotide Polymorphisms (SNPs) known to be associated with obesity and obesity co-morbidities (IGF2BP2 rs4402960, LPL rs320, LPL rs328, KCJN rs5219, and MTHFR rs1801133) between athletes (all male, n = 461; endurance athletes n = 254, sprint/power athletes n = 207), and controls (all male, n = 544) in Polish and Russian samples. We also examined the association between these SNPs and the athletes' competition level ('elite' and 'national' level). Genotypes were analysed by Single-Base Extension and Real-Time PCR. Multinomial logistic regression analyses were conducted to assess the association between genotypes and athletic status/competition level. RESULTS IGF2BP2 rs4402960 and LPL rs320 were significantly associated with athletic status; sprint/power athletes were twice more likely to have the IGF2BP2 rs4402960 risk (T) allele compared to endurance athletes (OR = 2.11, 95% CI = 1.03-4.30, P <0.041), and non-athletic controls were significantly less likely to have the T allele compared to sprint/power athletes (OR = 0.62, 95% CI =0.43-0.89, P <0.0009). The control group was significantly more likely to have the LPL rs320 risk (G) allele compared to endurance athletes (OR = 1.26, 95% CI = 1.05-1.52, P <0.013). Hence, endurance athletes were the "protected" group being significantly (p < 0.05) less likely to have the risk allele compared to sprint/power athletes (IGF2BP2 rs4402960) and significantly (p < 0.05) less likely to have the risk allele compared to controls (LPL rs320). The other 3 SNPs did not show significant differences between the study groups. CONCLUSIONS Male endurance athletes are less likely to have the metabolic risk alleles of IGF2BP2 rs4402960 and LPL rs320, compared to sprint/power athletes and controls, respectively. These results suggest that some SNPs across the human genome have a dual effect and may predispose endurance athletes to reduced risk of developing metabolic morbidities, whereas sprint/power athletes might be predisposed to elevated risk.
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Affiliation(s)
- Lauren K Banting
- Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Melbourne, Australia, , VIC, 8001.
| | | | - Pawel Cieszczyk
- University of Szczecin, Department of Physical Culture and Health Promotion, Szczecin, Poland.
| | - Aleksandra Zarebska
- Academy of Physical Education and Sport, Department of Sport Education, Gdansk, Poland.
| | | | - M-Arek Sawczuk
- University of Szczecin, Department of Physical Culture and Health Promotion, Szczecin, Poland.
| | - Agata Leońska-Duniec
- University of Szczecin, Department of Physical Culture and Health Promotion, Szczecin, Poland.
| | | | | | | | | | - Xu Yan
- Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Melbourne, Australia, , VIC, 8001.
- Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Australia.
| | - Ruth Birk
- Department of Nutrition, Faculty of Health Sciences, Ariel University, Ariel, Israel.
| | - Nir Eynon
- Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Melbourne, Australia, , VIC, 8001.
- Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Australia.
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42
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Chanprasertyothin S, Jongjaroenprasert W, Ongphiphadhanakul B. The association of soluble IGF2R and IGF2R gene polymorphism with type 2 diabetes. J Diabetes Res 2015; 2015:216383. [PMID: 25922844 PMCID: PMC4398942 DOI: 10.1155/2015/216383] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 03/24/2015] [Accepted: 03/24/2015] [Indexed: 11/17/2022] Open
Abstract
The aim of this study is to investigate the insulin-like growth factor type 2 (IGF2R) gene and circulating soluble IGF2R in relation to type 2 diabetes (T2DM). Six hundred fifty-four subjects without history of diabetes were screened for diabetes by oral glucose tolerance test. In addition, 145 subjects with known diabetes were recruited from a local diabetes clinic. Circulating IGF2R levels were measured by ELISA method; plasma glucose was measured by colorimetric method; insulin levels were determined by chemiluminescent method; IGF2R gene rs416572 was genotyped using real-time PCR. The distributions of IGF2R genotypes were 69.2% CC, 27.8% CT, and 3.0% TT. The C allele was more commonly found in diabetes subjects, with a significant difference (P < 0.01). In the presence of the T allele, circulating IGF2R levels were significantly lower (P < 0.05). There was no significant difference in other potential confounders including age, sex, and BMI. Only circulating IGF2R, age, and BMI were independently associated with the degree of insulin resistance, as assessed by the HOMA model. It was found that age, sex, and BMI were associated with beta cell function. In conclusion, IGF2R gene polymorphism and circulating IGF2R are associated with T2DM.
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Affiliation(s)
- Suwannee Chanprasertyothin
- Research Center, Ramathibodi Hospital, Mahidol University, Rama 6 Road, Bangkok 10400, Thailand
- *Suwannee Chanprasertyothin:
| | - Wallaya Jongjaroenprasert
- Department of Medicine, Ramathibodi Hospital, Mahidol University, Rama 6 Road, Bangkok 10400, Thailand
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Lasram K, Ben Halim N, Benrahma H, Mediene-Benchekor S, Arfa I, Hsouna S, Kefi R, Jamoussi H, Ben Ammar S, Bahri S, Abid A, Benhamamouch S, Barakat A, Abdelhak S. Contribution of CDKAL1 rs7756992 and IGF2BP2 rs4402960 polymorphisms in type 2 diabetes, diabetic complications, obesity risk and hypertension in the Tunisian population. J Diabetes 2015; 7:102-13. [PMID: 24636221 DOI: 10.1111/1753-0407.12147] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2013] [Revised: 02/26/2013] [Accepted: 03/11/2014] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) and the cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) identified through genome-wide association (GWA) studies have been shown to be associated with Type 2 diabetes in various ethnic groups. In this study, we investigated the association of the rs7756992 of CDKAL1 and the rs4402960 of IGF2BP2 with Type 2 diabetes, diabetic complications (nephropathy, retinopathy and cardiovascular disease), obesity and hypertension in a Tunisian population. METHODS A case-control association study including 200 Type 2 diabetes Tunisian patients (World Health Organization criteria) and 208 controls (age ≥40; fasting plasma glucose <6.1 mmol/L; without first degree family history of diabetes) has been performed. Other parameters such as diabetic nephropathy, diabetic retinopathy, cardiovascular disease, overweight/obesity and hypertension have been also collected. Genotyping was performed using TaqMan technology. RESULTS A significant association between the rs4402960 and Type 2 diabetes (OR = 1.86, 95% CI = 1.34-2.58, P < 10(-4) ) has been found. Overweight/obese subjects bearing the T-allele have an increased risk to develop Type 2 diabetes (OR = 2.06, 95% CI = 1.40-3.03, P < 10(-4) ). Furthermore, the rs7756992 was found to be associated with the reduced risk of diabetic nephropathy in patients with diabetes (OR = 0.44, 95% CI = 0.27-0.73, P = 0.001). CONCLUSIONS The present study confirms that the rs4402960 of IGF2BP2 gene is a strong candidate for Type 2 diabetes susceptibility and overweight/obesity risk in the Tunisian population. Interestingly, our data suggest that the rs7756992 of CDKAL1 gene have a protective effect against diabetic nephropathy.
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Affiliation(s)
- Khaled Lasram
- Biomedical Genomics and Oncogenetics Laboratory (LR 11 IPT 05), Institut Pasteur de Tunis, Université El Manar de Tunis, Tunis, Tunisia
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Kawasaki K, Yamada S, Ogata K, Saito Y, Takahama A, Yamada T, Matsumoto K, Kose H. Use of Drosophila as an evaluation method reveals imp as a candidate gene for type 2 diabetes in rat locus Niddm22. J Diabetes Res 2015; 2015:758564. [PMID: 25821834 PMCID: PMC4363715 DOI: 10.1155/2015/758564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 01/03/2015] [Accepted: 01/03/2015] [Indexed: 02/06/2023] Open
Abstract
Type 2 diabetes (T2D) is one of the most common human diseases. QTL analysis of the diabetic Otsuka Long-Evans Tokushima Fatty (OLETF) rats has identified numerous hyperglycemic loci. However, molecular characterization and/or gene identification largely remains to be elucidated due mostly to the weak genetic variances contributed by each locus. Here we utilized Drosophila melanogaster as a secondary model organism for functional evaluation of the candidate gene. We demonstrate that the tissue specific knockdown of a homologue of igf2bp2 RNA binding protein leads to increased sugar levels similar to that found in the OLETF rat. In the mutant, the expression of two of the insulin-like peptides encoded in the fly genome, dilp2 and dilp3, were found to be downregulated. Consistent with previous reports of dilp mutants, the imp mutant flies exhibited an extension of life span; in contrast, starvation tolerance was reduced. These results further reinforce the possibility that imp is involved in sugar metabolism by modulating insulin expression.
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Affiliation(s)
- Kurenai Kawasaki
- Division of Natural Sciences, Department of Life Science, International Christian University, Mitaka, Tokyo 181-8585, Japan
| | - Sawaka Yamada
- Division of Natural Sciences, Department of Life Science, International Christian University, Mitaka, Tokyo 181-8585, Japan
| | - Koki Ogata
- Division of Natural Sciences, Department of Life Science, International Christian University, Mitaka, Tokyo 181-8585, Japan
| | - Yumiko Saito
- Division of Natural Sciences, Department of Life Science, International Christian University, Mitaka, Tokyo 181-8585, Japan
| | - Aiko Takahama
- Division of Natural Sciences, Department of Life Science, International Christian University, Mitaka, Tokyo 181-8585, Japan
| | - Takahisa Yamada
- Laboratory of Animal Genetics, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan
| | - Kozo Matsumoto
- Department of Animal Medical Sciences, Faculty of Life Sciences, Kyoto Sangyo University, Kyoto 603-8555, Japan
| | - Hiroyuki Kose
- Division of Natural Sciences, Department of Life Science, International Christian University, Mitaka, Tokyo 181-8585, Japan
- *Hiroyuki Kose:
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Modi H, Cornu M, Thorens B. Glutamine stimulates biosynthesis and secretion of insulin-like growth factor 2 (IGF2), an autocrine regulator of beta cell mass and function. J Biol Chem 2014; 289:31972-31982. [PMID: 25271169 DOI: 10.1074/jbc.m114.587733] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
IGF2 is an autocrine ligand for the beta cell IGF1R receptor and GLP-1 increases the activity of this autocrine loop by enhancing IGF1R expression, a mechanism that mediates the trophic effects of GLP-1 on beta cell mass and function. Here, we investigated the regulation of IGF2 biosynthesis and secretion. We showed that glutamine rapidly and strongly induced IGF2 mRNA translation using reporter constructs transduced in MIN6 cells and primary islet cells. This was followed by rapid secretion of IGF2 via the regulated pathway, as revealed by the presence of mature IGF2 in insulin granule fractions and by inhibition of secretion by nimodipine and diazoxide. When maximally stimulated by glutamine, the amount of secreted IGF2 rapidly exceeded its initial intracellular pool and tolbutamide, and high K(+) increased IGF2 secretion only marginally. This indicates that the intracellular pool of IGF2 is small and that sustained secretion requires de novo synthesis. The stimulatory effect of glutamine necessitates its metabolism but not mTOR activation. Finally, exposure of insulinomas or beta cells to glutamine induced Akt phosphorylation, an effect that was dependent on IGF2 secretion, and reduced cytokine-induced apoptosis. Thus, glutamine controls the activity of the beta cell IGF2/IGF1R autocrine loop by increasing the biosynthesis and secretion of IGF2. This autocrine loop can thus integrate changes in feeding and metabolic state to adapt beta cell mass and function.
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Affiliation(s)
- Honey Modi
- Center for Integrative Genomics, University of Lausanne, CH-1015 Lausanne, Switzerland
| | - Marion Cornu
- Center for Integrative Genomics, University of Lausanne, CH-1015 Lausanne, Switzerland
| | - Bernard Thorens
- Center for Integrative Genomics, University of Lausanne, CH-1015 Lausanne, Switzerland.
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46
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Zhang LF, Pei Q, Yang GP, Zhao YC, Mu YF, Huang Q, Zhu YL. The effect of IGF2BP2 gene polymorphisms on pioglitazone response in Chinese type 2 diabetes patients. Pharmacology 2014; 94:115-22. [PMID: 25247335 DOI: 10.1159/000363414] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 05/06/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND Genome-wide association studies identified that insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) genetic polymorphisms are related to type 2 diabetes mellitus (T2DM) in several populations. This study aimed to investigate whether the IGF2BP2 gene rs1470579 and rs4402960 polymorphisms were associated with T2DM and pioglitazone efficacy in Chinese T2DM patients. METHODS A total of 281 T2DM patients and 111 healthy volunteers were enrolled to identify the IGF2BP2 gene rs1470579 and rs4402960 polymorphisms; 86 patients were randomly selected and given a 12-week pioglitazone treatment (30 mg/day). Fasting plasma glucose, postprandial plasma glucose (PPG), glycated hemoglobin, serum triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol (HDL-C) were determined before and after pioglitazone treatment. RESULTS The results showed that the IGF2BP2 gene rs1470579 and rs4402960 polymorphisms were associated with T2DM in a Chinese population (OR = 2.002, 95% CI 1.170-3.426, p < 0.05; OR = 1.879, 95% CI 1.110-3.182, p < 0.05). The effect of pioglitazone on PPG (p < 0.05), TG (p < 0.01) and HDL-C (p < 0.05) was lower in patients with the rs1470579 AC+CC genotypes than in AA genotype carriers. Its effect on PPG level was also lower in patients with the GT+TT genotypes of rs4402960 than in patients with the GG genotype (p < 0.05). CONCLUSIONS The IGF2BP2 gene rs1470579 and rs4402960 polymorphisms were associated with T2DM and therapeutic efficacy of pioglitazone in this Chinese population.
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Affiliation(s)
- Liu-Fu Zhang
- Department of Neurology, Hefei Binhu Hospital, Hefei First People's Hospital, Hefei, PR China
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47
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Ruiz-Narváez EA, Palmer JR, Gerlovin H, Wise LA, Vimalananda VG, Rosenzweig JL, Rosenberg L. Birth weight and risk of type 2 diabetes in the black women's health study: does adult BMI play a mediating role? Diabetes Care 2014; 37:2572-8. [PMID: 25147255 PMCID: PMC4140161 DOI: 10.2337/dc14-0731] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the association of birth weight with incident type 2 diabetes, and the possible mediating influence of obesity, in a large cohort of U.S. black women. RESEARCH DESIGN AND METHODS The Black Women's Health Study is an ongoing prospective study. We used Cox proportional hazards models to estimate incidence rate ratios (IRRs) and 95% CI for categories of birth weight (very low birth weight [<1,500 g], low birth weight [1,500-2,499 g], and high birth weight [≥4,000 g]) in reference to normal birth weight (2,500-3,999 g). Models were adjusted for age, questionnaire cycle, family history of diabetes, caloric intake, preterm birth, physical activity, years of education, and neighborhood socioeconomic status with and without inclusion of terms for adult BMI. RESULTS We followed 21,624 women over 16 years of follow-up. There were 2,388 cases of incident diabetes. Women with very low birth weight had a 40% higher risk of disease (IRR 1.40 [95% CI 1.08-1.82]) than women with normal birth weight; women with low birth weight had a 13% higher risk (IRR 1.13 [95% CI 1.02-1.25]). Adjustment for BMI did not appreciably change the estimates. CONCLUSIONS Very low birth weight and low birth weight appear to be associated with increased risk of type 2 diabetes in African American women, and the association does not seem to be mediated through BMI. The prevalence of low birth weight is especially high in African American populations, and this may explain in part the higher occurrence of type 2 diabetes.
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Affiliation(s)
- Edward A Ruiz-Narváez
- Slone Epidemiology Center at Boston University, Boston, MA Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Hanna Gerlovin
- Slone Epidemiology Center at Boston University, Boston, MA Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Lauren A Wise
- Slone Epidemiology Center at Boston University, Boston, MA Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Varsha G Vimalananda
- Section of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine, Boston, MA
| | - James L Rosenzweig
- Section of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine, Boston, MA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA Department of Epidemiology, Boston University School of Public Health, Boston, MA
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Davidson HW, Wenzlau JM, O'Brien RM. Zinc transporter 8 (ZnT8) and β cell function. Trends Endocrinol Metab 2014; 25:415-24. [PMID: 24751356 PMCID: PMC4112161 DOI: 10.1016/j.tem.2014.03.008] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 03/17/2014] [Accepted: 03/19/2014] [Indexed: 02/07/2023]
Abstract
Human pancreatic β cells have exceptionally high zinc content. In β cells the highest zinc concentration is in insulin secretory granules, from which it is cosecreted with the hormone. Uptake of zinc into secretory granules is mainly mediated by zinc transporter 8 (ZnT8), the product of the SLC30A8 [solute carrier family 30 (zinc transporter), member 8] gene. The minor alleles of several single-nucleotide polymorphisms (SNPs) in SLC30A8 are associated with decreased risk of type 2 diabetes (T2D), but the precise mechanisms underlying the protective effects remain uncertain. In this article we review current knowledge of the role of ZnT8 in maintaining zinc homeostasis in β cells, its role in glucose metabolism based on knockout mouse studies, and current theories regarding the link between ZnT8 function and T2D.
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Affiliation(s)
- Howard W Davidson
- Barbara Davis Center for Diabetes, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; Integrated Department of Immunology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.
| | - Janet M Wenzlau
- Barbara Davis Center for Diabetes, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Richard M O'Brien
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
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Yang J, Liu J, Liu J, Li W, Li X, He Y, Ye L. Genetic association study with metabolic syndrome and metabolic-related traits in a cross-sectional sample and a 10-year longitudinal sample of chinese elderly population. PLoS One 2014; 9:e100548. [PMID: 24959828 PMCID: PMC4069025 DOI: 10.1371/journal.pone.0100548] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 05/29/2014] [Indexed: 11/18/2022] Open
Abstract
Background The metabolic syndrome (MetS) has been known as partly heritable, while the number of genetic studies on MetS and metabolic-related traits among Chinese elderly was limited. Methods A cross-sectional analysis was performed among 2 014 aged participants from September 2009 to June 2010 in Beijing, China. An additional longitudinal study was carried out among the same study population from 2001 to 2010. Biochemical profile and anthropometric parameters of all the participants were measured. The associations of 23 SNPs located within 17 candidate genes (MTHFR, PPARγ, LPL, INSIG, TCF7L2, FTO, KCNJ11, JAZF1, CDKN2A/B, ADIPOQ, WFS1, CDKAL1, IGF2BP2, KCNQ1, MTNR1B, IRS1, ACE) with overweight and obesity, diabetes, metabolic phenotypes, and MetS were examined in both studies. Results In this Chinese elderly population, prevalence of overweight, central obesity, diabetes, dyslipidemia, hypertension, and MetS were 48.3%, 71.0%, 32.4%, 75.7%, 68.3% and 54.5%, respectively. In the cross-sectional analyses, no SNP was found to be associated with MetS. Genotype TT of SNP rs4402960 within the gene IGF2BP2 was associated with overweight (odds ratio (OR) = 0.479, 95% confidence interval (CI): 0.316-0.724, p = 0.001) and genotype CA of SNP rs1801131 within the gene MTHFR was associated with hypertension (OR = 1.560, 95% CI: 1.194–2.240, p = 0.001). However, these associations were not observed in the longitudinal analyses. Conclusions The associations of SNP rs4402960 with overweight as well as the association of SNP rs1801131 with hypertension were found to be statistically significant. No SNP was identified to be associated with MetS in our study with statistical significance.
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Affiliation(s)
- Jinghui Yang
- Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
| | - Jianwei Liu
- Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
| | - Jing Liu
- Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
| | - Wenyuan Li
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Xiaoying Li
- Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- Department of Geriatric Cardiology, the General Hospital of the People's Liberation Army, Beijing, China
| | - Yao He
- Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- * E-mail: (LY); (YH)
| | - Ling Ye
- Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China
- * E-mail: (LY); (YH)
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Benrahma H, Charoute H, Lasram K, Boulouiz R, Atig RKB, Fakiri M, Rouba H, Abdelhak S, Barakat A. Association analysis of IGF2BP2, KCNJ11, and CDKAL1 polymorphisms with type 2 diabetes mellitus in a Moroccan population: a case-control study and meta-analysis. Biochem Genet 2014; 52:430-42. [PMID: 24898818 DOI: 10.1007/s10528-014-9658-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Accepted: 04/25/2014] [Indexed: 11/24/2022]
Abstract
Associations with type 2 diabetes mellitus have been identified for variants CDKAL1 rs7756992, KCNJ11 rs5219, and IGF2BP2 rs4402960 in different populations. In a case-control study of 250 unrelated Moroccan diabetic patients and 250 healthy controls, we used TaqMan allelic discrimination assays to genotype the three SNPs and meta-analysis to investigate the association between the polymorphisms and diabetes in Arab populations. The results showed a significant diabetes association only with the variant rs4402960 of the IGF2BP2 gene under additive 2 (GG vs. TT; p = 0.009) and recessive (TT vs. GG+GT; p = 0.003) models. Meta-analysis indicated significant association between the IGF2BP2 rs4402960 and CDKAL1 rs7756992 polymorphisms and increased risk of diabetes in Arab populations. According to our results, the case-control study and meta-analysis revealed a significant association between the IGF2BP2 rs4402960 variant and type 2 diabetes in Moroccan and Arab populations.
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Affiliation(s)
- Houda Benrahma
- Laboratoire de Génétique Moléculaire Humaine, Département de Recherche Scientifique, Institut Pasteur du Maroc, Place Louis Pasteur, 20100, Casablanca, Morocco
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