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Ramos-Levi A, Barabash A, Valerio J, García de la Torre N, Mendizabal L, Zulueta M, de Miguel MP, Diaz A, Duran A, Familiar C, Jimenez I, del Valle L, Melero V, Moraga I, Herraiz MA, Torrejon MJ, Arregi M, Simón L, Rubio MA, Calle-Pascual AL. Genetic variants for prediction of gestational diabetes mellitus and modulation of susceptibility by a nutritional intervention based on a Mediterranean diet. Front Endocrinol (Lausanne) 2022; 13:1036088. [PMID: 36313769 PMCID: PMC9612917 DOI: 10.3389/fendo.2022.1036088] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Hypothesis Gestational diabetes mellitus (GDM) entails a complex underlying pathogenesis, with a specific genetic background and the effect of environmental factors. This study examines the link between a set of single nucleotide polymorphisms (SNPs) associated with diabetes and the development of GDM in pregnant women with different ethnicities, and evaluates its potential modulation with a clinical intervention based on a Mediterranean diet. Methods 2418 women from our hospital-based cohort of pregnant women screened for GDM from January 2015 to November 2017 (the San Carlos Cohort, randomized controlled trial for the prevention of GDM ISRCTN84389045 and real-world study ISRCTN13389832) were assessed for evaluation. Diagnosis of GDM was made according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Genotyping was performed by IPLEX MassARRAY PCR using the Agena platform (Agena Bioscience, SanDiego, CA). 110 SNPs were selected for analysis based on selected literature references. Statistical analyses regarding patients' characteristics were performed in SPSS (Chicago, IL, USA) version 24.0. Genetic association tests were performed using PLINK v.1.9 and 2.0 software. Bioinformatics analysis, with mapping of SNPs was performed using STRING, version 11.5. Results Quality controls retrieved a total 98 SNPs and 1573 samples, 272 (17.3%) with GDM and 1301 (82.7%) without GDM. 1104 (70.2%) were Caucasian (CAU) and 469 (29.8%) Hispanic (HIS). 415 (26.4%) were from the control group (CG), 418 (26.6%) from the nutritional intervention group (IG) and 740 (47.0%) from the real-world group (RW). 40 SNPs (40.8%) presented some kind of significant association with GDM in at least one of the genetic tests considered. The nutritional intervention presented a significant association with GDM, regardless of the variant considered. In CAU, variants rs4402960, rs7651090, IGF2BP2; rs1387153, rs10830963, MTNR1B; rs17676067, GLP2R; rs1371614, DPYSL5; rs5215, KCNJ1; and rs2293941, PDX1 were significantly associated with an increased risk of GDM, whilst rs780094, GCKR; rs7607980, COBLL1; rs3746750, SLC17A9; rs6048205, FOXA2; rs7041847, rs7034200, rs10814916, GLIS3; rs3783347, WARS; and rs1805087, MTR, were significantly associated with a decreased risk of GDM, In HIS, variants significantly associated with increased risk of GDM were rs9368222, CDKAL1; rs2302593, GIPR; rs10885122, ADRA2A; rs1387153, MTNR1B; rs737288, BACE2; rs1371614, DPYSL5; and rs2293941, PDX1, whilst rs340874, PROX1; rs2943634, IRS1; rs7041847, GLIS3; rs780094, GCKR; rs563694, G6PC2; and rs11605924, CRY2 were significantly associated with decreased risk for GDM. Conclusions We identify a core set of SNPs in their association with diabetes and GDM in a large cohort of patients from two main ethnicities from a single center. Identification of these genetic variants, even in the setting of a nutritional intervention, deems useful to design preventive and therapeutic strategies.
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Affiliation(s)
- Ana Ramos-Levi
- Endocrinology and Nutrition Department, Hospital Universitario de la Princesa, Instituto de Investigación Princesa, Universidad Autónoma de Madrid, Madrid, Spain
| | - Ana Barabash
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Johanna Valerio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Nuria García de la Torre
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | | | | | - Maria Paz de Miguel
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Angel Diaz
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandra Duran
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Cristina Familiar
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Inés Jimenez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Laura del Valle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Veronica Melero
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Inmaculada Moraga
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Miguel A. Herraiz
- Gynecology and Obstetrics Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - María José Torrejon
- Clinical Laboratory Department Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Maddi Arregi
- Patia Europe, Clinical Laboratory, San Sebastián, Spain
| | | | - Miguel A. Rubio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Alfonso L. Calle-Pascual
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
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Ardissino M, Slob EAW, Millar O, Reddy RK, Lazzari L, Patel KHK, Ryan D, Johnson MR, Gill D, Ng FS. Maternal Hypertension Increases Risk of Preeclampsia and Low Fetal Birthweight: Genetic Evidence From a Mendelian Randomization Study. Hypertension 2022; 79:588-598. [PMID: 35138876 PMCID: PMC7612410 DOI: 10.1161/hypertensionaha.121.18617] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 12/16/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Maternal cardiovascular risk factors have been associated with adverse maternal and fetal outcomes. Given the difficulty in establishing causal relationships using epidemiological data, we applied Mendelian randomization to explore the role of cardiovascular risk factors on risk of developing preeclampsia or eclampsia, and low fetal birthweight. METHODS Uncorrelated single-nucleotide polymorphisms associated systolic blood pressure (SBP), body mass index, type 2 diabetes, LDL (low-density lipoprotein) with cholesterol, smoking, urinary albumin-to-creatinine ratio, and estimated glomerular filtration rate at genome-wide significance in studies of 298 957 to 1 201 909 European ancestry participants were selected as instrumental variables. A 2-sample Mendelian randomization study was performed with primary outcome of preeclampsia or eclampsia (PET). Risk factors associated with PET were further investigated for their association with low birthweight. RESULTS Higher genetically predicted SBP was associated increased risk of PET (odds ratio [OR] per 1-SD SBP increase 1.90 [95% CI=1.45-2.49]; P=3.23×10-6) and reduced birthweight (OR=0.83 [95% CI=0.79-0.86]; P=3.96×10-18), and this was not mediated by PET. Body mass index and type 2 diabetes were also associated with PET (respectively, OR per 1-SD body mass index increase =1.67 [95% CI=1.44-1.94]; P=7.45×10-12; and OR per logOR increase type 2 diabetes =1.11 [95% CI=1.04-1.19]; P=1.19×10-3), but not with reduced birthweight. CONCLUSIONS Our results provide evidence for causal effects of SBP, body mass index, and type 2 diabetes on PET and identify that SBP is associated with reduced birthweight independently of PET. The results provide insight into the pathophysiological basis of PET and identify hypertension as a potentially modifiable risk factor amenable to therapeutic intervention.
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Affiliation(s)
- Maddalena Ardissino
- National Heart and Lung Institute, Imperial College London, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Eric A. W. Slob
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Ophelia Millar
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Rohin K. Reddy
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Laura Lazzari
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - David Ryan
- Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Mark R Johnson
- Division of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Dipender Gill
- Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George’s University Hospitals NHS Foundation Trust, London, UK
- Department of Biostatistics and Epidemiology, School of Public Health, Imperial College London, London, UK
| | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College London, London, UK
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Identification of MODY among patients screened for gestational diabetes: a clinician's guide. Arch Gynecol Obstet 2020; 302:305-314. [PMID: 32495018 DOI: 10.1007/s00404-020-05626-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/29/2020] [Indexed: 12/26/2022]
Abstract
PURPOSE Screening of gestational diabetes/GDM (although different in different countries) represents a standard procedure allowing to identify women with pregnancy-associated diabetes. Some of the women with GDM (up to 5%) may, however, suffer from previously undiagnosed MODY (Maturity-Onset Diabetes of the Young). Currently, no international or local guidelines focused on the identification of MODY among GDM exist. Thus, the aim of this manuscript is to propose a clear guide for clinicians on how to detect MODY among pregnant women with gestational diabetes. METHODS Based on the available literature about diagnosis (in general population) of MODY and management of MODY (both, in general population and in pregnant women), we propose a clear clinical guide on how to diagnose and manage MODY in pregnancy. RESULTS The manuscript suggests a feasible clinical approach how to recognize MODY among patients with GDM and how to manage pregnancy of women with three most common MODY subtypes. CONCLUSION A correct classification of diabetes is, nonetheless, essential, particularly in case of MODY, as the management of pregnant women with MODY is different and the correct diagnosis of MODY enables individualized treatment with regard to optimal pregnancy outcomes.
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Molecular Modelling of Islet β-Cell Adaptation to Inflammation in Pregnancy and Gestational Diabetes Mellitus. Int J Mol Sci 2019; 20:ijms20246171. [PMID: 31817798 PMCID: PMC6941051 DOI: 10.3390/ijms20246171] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/03/2019] [Accepted: 12/04/2019] [Indexed: 12/16/2022] Open
Abstract
Gestational diabetes mellitus (GDM), a metabolic disease that develops with the increase in insulin resistance during late pregnancy, is currently one of the most common complications affecting pregnancy. The polygenic nature of GDM, together with the interplay between different genetic variants with nutritional and environmental factors has hindered the full understanding of the etiology of this disease. However, an important genetic overlap has been found with type 2 diabetes mellitus (T2DM) and, as in the case of T2DM, most of the identified loci are associated with β-cell function. Early detection of GDM and adequate interventions to control the maternal glycemia are necessary to avoid the adverse outcomes for both the mother and the offspring. The in utero exposure to the diabetic milieu predispose these children for future diseases, among them T2DM, originating a vicious circle implicated in the increased prevalence of both GDM and T2DM. The involvement of inflammatory processes in the development of GDM highlights the importance of pancreatic β-cell factors able to favor the adaptation processes required during gestation, concomitantly with the protection of the islets from an inflammatory milieu. In this regard, two members of the Pax family of transcription factors, PAX4 and PAX8, together with the chromatin remodeler factor HMG20A, have gained great relevance due to their involvement in β-cell mass adaptation together with their anti-inflammatory properties. Mutations in these factors have been associated with GDM, highlighting these as novel candidates for genetic screening analysis in the identification of women at risk of developing GDM.
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Li BY, Xu XY, Gan RY, Sun QC, Meng JM, Shang A, Mao QQ, Li HB. Targeting Gut Microbiota for the Prevention and Management of Diabetes Mellitus by Dietary Natural Products. Foods 2019; 8:440. [PMID: 31557941 PMCID: PMC6835620 DOI: 10.3390/foods8100440] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 09/20/2019] [Accepted: 09/23/2019] [Indexed: 12/16/2022] Open
Abstract
Diabetes mellitus is one of the biggest public health concerns worldwide, which includes type 1 diabetes mellitus, type 2 diabetes mellitus, gestational diabetes mellitus, and other rare forms of diabetes mellitus. Accumulating evidence has revealed that intestinal microbiota is closely associated with the initiation and progression of diabetes mellitus. In addition, various dietary natural products and their bioactive components have exhibited anti-diabetic activity by modulating intestinal microbiota. This review addresses the relationship between gut microbiota and diabetes mellitus, and discusses the effects of natural products on diabetes mellitus and its complications by modulating gut microbiota, with special attention paid to the mechanisms of action. It is hoped that this review paper can be helpful for better understanding of the relationships among natural products, gut microbiota, and diabetes mellitus.
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Affiliation(s)
- Bang-Yan Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Xiao-Yu Xu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Ren-You Gan
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu 610213, China.
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Quan-Cai Sun
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
| | - Jin-Ming Meng
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Ao Shang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Qian-Qian Mao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Hua-Bin Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Monsonego S, Clark H, Karovitch A, O'Meara P, Shaw T, Malcolm J. Management and Outcomes of Maturity-Onset Diabetes of the Young in Pregnancy. Can J Diabetes 2019; 43:647-654. [PMID: 31564623 DOI: 10.1016/j.jcjd.2019.07.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 07/08/2019] [Accepted: 07/12/2019] [Indexed: 02/08/2023]
Abstract
Maturity-onset diabetes of the young (MODY) is a group of monogenic disorders that accounts for 1% to 5% of diabetes. The most common mutations are those in the hepatocyte nuclear factor-1-alpha (HNF-1-alpha) and in the glucokinase (GCK) genes. Although management of MODY is well established, no guidelines currently exist for management during pregnancy. Both maternal glycemic control and fetal mutation status are factors that may influence outcomes during pregnancy. The primary aim of this project was to describe cases of MODY during pregnancy to highlight the clinical implications of management of this disorder during pregnancy. The Ottawa Hospital is the primary referral centre for high-risk obstetrical patients, including those with diabetes in pregnancy, in Ottawa, Canada. Referrals between 2008 and 2018 were reviewed and a case series of three women and five pregnancies is described. Together with the illustrative cases, a literature review of MODY in pregnancy is used to highlight clinical considerations unique to MODY in pregnancy. We describe 5 pregnancies with MODY-2 (GCK mutation) and MODY 3 (HNF-1-alpha mutation). Important issues identified included monitoring of fetal growth and individualization of maternal glycemic control, particularly in cases where fetal mutation status is unknown. Management of MODY in pregnancy is challenging and there is little evidence to guide recommendations. Fetal growth can be used to guide management of maternal glycemic targets when fetal mutation status is unknown.
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Affiliation(s)
- Sarah Monsonego
- Division of Endocrinology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
| | - Heather Clark
- Division of General Internal Medicine, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Alan Karovitch
- Division of General Internal Medicine, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Paloma O'Meara
- Division of General Internal Medicine, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Tammy Shaw
- Division of General Internal Medicine, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Janine Malcolm
- Division of Endocrinology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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Abstract
PURPOSE OF REVIEW Gestational diabetes (GDM) is associated with adverse pregnancy and neonatal outcomes and increased maternal risk for subsequent type 2 diabetes. The best diagnostic strategy for GDM is debated and the role of oral antidiabetic medications (OAD) for treatment is unclear. In this paper, we review methods of GDM diagnosis, updates in GDM therapy, and interventions to reduce future type 2 diabetes in women with a history of GDM. RECENT FINDINGS A "one-step" screening protocol for GDM using 75-g, 2-h oral glucose tolerance testing at 24-28 weeks gestation is recommended by the International Association of the Diabetes and Pregnancy Study Groups, the American Diabetes Association, and the Endocrine Society. This strategy identifies a milder degree of hyperglycemia and thus increases GDM prevalence. Studies indicate that in these cases of mild hyperglycemia, treatment decreases pregnancy and neonatal complications. Insulin analogues including detemir, aspart, and lispro have been shown to be safe in pregnancy with a pregnancy category B classification. Growing literature suggests that sulfonylureas cross the placenta and are associated with increased incidence of macrosomia and neonatal hypoglycemia. Telephone or online diabetes prevention program (DPP)-based interventions for women with GDM have shown encouraging results in pilot studies. Insurance coverage remains a barrier. Additional studies are needed to determine the safety of OAD in pregnancy. Public policy supporting DPP could help improve patient access to these proven interventions.
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Affiliation(s)
- Laura T Dickens
- Department of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, University of Chicago, 5841 S. Maryland Ave., MC 1027, Chicago, IL, 60637, USA.
| | - Celeste C Thomas
- Department of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, University of Chicago, 5841 S. Maryland Ave., MC 1027, Chicago, IL, 60637, USA
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Wang X, Li W, Ma L, Ping F, Liu J, Wu X, Mao J, Wang X, Nie M. Micro-ribonucleic acid-binding site variants of type 2 diabetes candidate loci predispose to gestational diabetes mellitus in Chinese Han women. J Diabetes Investig 2018; 9:1196-1202. [PMID: 29352517 PMCID: PMC6123053 DOI: 10.1111/jdi.12803] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Revised: 12/21/2017] [Accepted: 01/14/2018] [Indexed: 12/17/2022] Open
Abstract
AIMS/INTRODUCTION Emerging evidence has suggested that the genetic background of gestational diabetes mellitus (GDM) was analogous to type 2 diabetes mellitus. In contrast to type 2 diabetes mellitus, the genetic studies for GDM were limited. Accordingly, the aim of the present study was to extensively explore the influence of micro-ribonucleic acid-binding single-nucleotide polymorphisms (SNPs) in type 2 diabetes mellitus candidate loci on GDM susceptibility in Chinese. MATERIALS AND METHODS A total of 839 GDM patients and 900 controls were enrolled. Six micro-ribonucleic acid-binding SNPs were selected from 30 type 2 diabetes mellitus susceptibility loci and genotyped using TaqMan allelic discrimination assays. RESULTS The minor allele of three SNPs, PAX4 rs712699 (OR 1.366, 95% confidence interval 1.021-1.828, P = 0.036), KCNB1 rs1051295 (OR 1.579, 95% confidence interval 1.172-2.128, P = 0.003) and MFN2 rs1042842 (OR 1.398, 95% confidence interval 1.050-1.862, P = 0.022) were identified to significantly confer higher a risk of GDM in the additive model. The association between rs1051295 and increased fasting plasma glucose (b = 0.006, P = 0.008), 3-h oral glucose tolerance test plasma glucose (b = 0.058, P = 0.025) and homeostatic model assessment of insulin resistance (b = 0.065, P = 0.017) was also shown. Rs1042842 was correlated with higher 3-h oral glucose tolerance test plasma glucose (b = 0.056, P = 0.028). However, no significant correlation between the other included SNPs (LPIN1 rs1050800, VPS26A rs1802295 and NLRP3 rs10802502) and GDM susceptibility were observed. CONCLUSIONS The present findings showed that micro-ribonucleic acid-binding SNPs in type 2 diabetes mellitus candidate loci were also associated with GDM susceptibility, which further highlighted the similar genetic basis underlying GDM and type 2 diabetes mellitus.
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Affiliation(s)
- Xiaojing Wang
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Wei Li
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Liangkun Ma
- Department of Obstetrics and GynecologyPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Fan Ping
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Juntao Liu
- Department of Obstetrics and GynecologyPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Xueyan Wu
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Jiangfeng Mao
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Xi Wang
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
| | - Min Nie
- Department of EndocrinologyKey Laboratory of EndocrinologyMinistry of HealthPeking Union Medical College HospitalPeking Union Medical CollegeChinese Academy of Medical SciencesBeijingChina
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Butscheidt S, Delsmann A, Rolvien T, Barvencik F, Al-Bughaili M, Mundlos S, Schinke T, Amling M, Kornak U, Oheim R. Mutational analysis uncovers monogenic bone disorders in women with pregnancy-associated osteoporosis: three novel mutations in LRP5, COL1A1, and COL1A2. Osteoporos Int 2018; 29:1643-1651. [PMID: 29594386 DOI: 10.1007/s00198-018-4499-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 03/20/2018] [Indexed: 12/14/2022]
Abstract
UNLABELLED Pregnancy was found to be a skeletal risk factor promoting the initial onset of previously unrecognized monogenic bone disorders, thus explaining a proportion of cases with pregnancy-associated osteoporosis. Therapeutic measures should focus in particular on the normalization of the disturbed calcium homeostasis in order to enable the partial skeletal recovery. INTRODUCTION Pregnancy-associated osteoporosis (PAO) is a rare skeletal condition, which is characterized by a reduction in bone mineral density (BMD) in the course of pregnancy and lactation. Typical symptoms include vertebral compression fractures and transient osteoporosis of the hip. Since the etiology is not well understood, this prospective study was conducted in order to elucidate the relevance of pathogenic gene variants for the development of PAO. METHODS Seven consecutive cases with the diagnosis of PAO underwent a skeletal assessment (blood tests, DXA, HR-pQCT) and a comprehensive genetic analysis using a custom-designed gene panel. RESULTS All cases showed a reduced BMD (DXA T-score, lumbar spine - 3.2 ± 1.0; left femur - 2.2 ± 0.5; right femur - 1.9 ± 0.5), while the spine was affected more severely (p < 0.05). The trabecular and cortical thickness was overall reduced in HR-pQCT, while the trabecular number showed no alterations in most cases. The genetic analysis revealed three novel mutations in LRP5, COL1A1, and COL1A2. CONCLUSION Our data show that previously unrecognized monogenic bone disorders play an important role in PAO. Pregnancy should be considered a skeletal risk factor, which can promote the initial clinical onset of such skeletal disorders. The underlying increased calcium demand is essential in terms of prophylactic and therapeutic measures, which are especially required in individuals with a genetically determined low bone mass. The implementation of this knowledge in clinical practice can enable the partial recovery of the skeleton. Consistent genetic studies are needed to analyze the frequency of pathogenic variants in women with PAO.
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Affiliation(s)
- S Butscheidt
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany
| | - A Delsmann
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany
| | - T Rolvien
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany
- Department of Orthopedics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - F Barvencik
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany
| | - M Al-Bughaili
- Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Planck Institute for Molecular Genetics, FG Development and Disease, Berlin, Germany
| | - S Mundlos
- Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Planck Institute for Molecular Genetics, FG Development and Disease, Berlin, Germany
| | - T Schinke
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany
| | - M Amling
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany
| | - U Kornak
- Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Planck Institute for Molecular Genetics, FG Development and Disease, Berlin, Germany
| | - R Oheim
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestr. 59, 22529, Hamburg, Germany.
- National Bone Board, Martin Zeitz Center for Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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10
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Ramsey AT, Chen LS, Hartz SM, Saccone NL, Fisher SL, Proctor EK, Bierut LJ. Toward the implementation of genomic applications for smoking cessation and smoking-related diseases. Transl Behav Med 2018; 8:7-17. [PMID: 29385591 PMCID: PMC6065540 DOI: 10.1093/tbm/ibx060] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The incorporation of genomic information into routine care settings is a burgeoning area for investigation in behavioral medicine. The past decade has witnessed rapid advancements in knowledge of genetic biomarkers associated with smoking behaviors and tobacco-related morbidity and mortality, providing the basis for promising genomic applications in clinical and community settings. We assessed the current state of readiness for implementing genomic applications involving variation in the α5 nicotinic cholinergic receptor subunit gene CHRNA5 and smoking outcomes (behaviors and related diseases) using a process that could be translatable to a wide range of genomic applications in behavioral medicine. We reviewed the scientific literature involving CHRNA5 genetic variation and smoking cessation, and then summarized and synthesized a chain of evidence according to analytic validity, clinical validity, clinical utility, and ethical, legal, and social implications (ACCE), a well-established set of criteria used to evaluate genomic applications. Our review identified at least three specific genomic applications for which implementation may be considered, including the use of CHRNA5 genetic test results for informing disease risk, optimizing smoking cessation treatment, and motivating smoking behavior change. For these genomic applications, we rated analytic validity as convincing, clinical validity as adequate, and clinical utility and ethical, legal, and social implications as inadequate. For clinical genomic applications involving CHRNA5 variation and smoking outcomes, research efforts now need to focus on establishing clinical utility. This approach is compatible with pre-implementation research, which is also needed to accelerate translation, improve innovation design, and understand and refine system processes involved in implementation. This study informs the readiness to incorporate smoking-related genomic applications in real-world settings and facilitates cross-disciplinary collaboration to accelerate the integration of evidence-based genomics in behavioral medicine.
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Affiliation(s)
- Alex T Ramsey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sarah M Hartz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Nancy L Saccone
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sherri L Fisher
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Enola K Proctor
- Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
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11
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López JJ, Jardín I, Cantonero Chamorro C, Duran ML, Tarancón Rubio MJ, Reyes Panadero M, Jiménez F, Montero R, González MJ, Martínez M, Hernández MJ, Brull JM, Corbacho AJ, Delgado E, Granados MP, Gómez‐Gordo L, Rosado JA, Redondo PC. Involvement of stanniocalcins in the deregulation of glycaemia in obese mice and type 2 diabetic patients. J Cell Mol Med 2018; 22:684-694. [PMID: 28990324 PMCID: PMC5742690 DOI: 10.1111/jcmm.13355] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 07/19/2017] [Indexed: 12/18/2022] Open
Abstract
Stanniocalcins are expressed in the pancreas tissue, and it was suggested a direct correlation between circulating insulin and STC2 concentrations in human. Here, we show a significant correlation between STC1 and both glycaemia and glycosylated haemoglobin among DM2 patients, while DM2 patients who present the greatest glycosylated haemoglobin values exhibited the lowest STC2 expression. However, treatment of patients with antiglycaemic drugs does not significantly modify the expression of both STCs. On the other hand, STC2-/- mice that exhibited neonatal and adult overweight further presented deregulated glycaemia when they were feed with a hypercaloric diet (breeding pellet, BP). This alteration is more evident at the early stages of the animal life. Deregulated glycaemia in these mice was confirmed using glucose oral test. In addition, STC2-/- mice present enhanced pancreas size; thus, the histological analysis reveals that WT mice respond to BP diet by increasing the size of the pancreatic islets through inducing cell division, and STC2-/- mice lack this compensatory mechanism. Contrary, BP fed STC2-/- mice show enhanced number of islets but of similar size than those fed with regular pellet. Histopathological analysis demonstrates tissue structure disruption and erythrocytes infiltrations in STC2-/- mice, possibly due to the stress evoked by the BP diet. Finally, enhanced glucagon immunostaining was observed in the islet of STC2-/- mice, and the glucagon ELISA assay confirmed the increase in the circulating glucagon. Summarizing, we present evidence of the role of STCs, mainly STC2, as a possible early marker during development of diabetes mellitus.
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Affiliation(s)
- José Javier López
- Department of Physiology (Phycell)Veterinary FacultyUniversity of ExtremaduraCáceresSpain
| | - Isaac Jardín
- Department of Physiology (Phycell)Veterinary FacultyUniversity of ExtremaduraCáceresSpain
| | | | - Manuel Luis Duran
- Animal House of University of ExtremaduraUniversity of ExtremaduraCáceresSpain
| | | | | | - Francisca Jiménez
- Manuel Encinas's medical centerExtremadura Health ServiceCáceresSpain
| | - Rocio Montero
- Manuel Encinas's medical centerExtremadura Health ServiceCáceresSpain
| | | | - Manuel Martínez
- Manuel Encinas's medical centerExtremadura Health ServiceCáceresSpain
| | | | | | | | | | | | - Luis Gómez‐Gordo
- Department of Animal MedicineVeterinary FacultyUniversity of ExtremaduraCáceresSpain
| | - Juan Antonio Rosado
- Department of Physiology (Phycell)Veterinary FacultyUniversity of ExtremaduraCáceresSpain
| | - Pedro Cosme Redondo
- Department of Physiology (Phycell)Veterinary FacultyUniversity of ExtremaduraCáceresSpain
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