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Golshan-Tafti M, Bahrami R, Dastgheib SA, Karimi-Zarchi M, Azizi S, Marzbanrad Z, Hajizadeh N, Aghasipour M, Yeganegi M, Shiri A, Aghili K, Neamatzadeh H. Comprehensive data on the relationship between KCNJ11 polymorphisms and gestational diabetes mellitus predisposition: a meta-analysis. J Diabetes Metab Disord 2024; 23:475-486. [PMID: 38932913 PMCID: PMC11196507 DOI: 10.1007/s40200-024-01428-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/24/2024] [Indexed: 06/28/2024]
Abstract
Purpose The genetic aspect of gestational diabetes mellitus (GDM) is influenced by multiple causal genetic variants, each with different effect sizes. The KCNJ11 gene is particularly noteworthy as a potential contributor to the risk of GDM due to its role in regulating glucose-induced insulin secretion. To evaluate the association between KCNJ11 polymorphisms and GDM, a comprehensive meta-analysis was conducted to review the existing literature and quantitatively assess the correlation. Methods A thorough search was performed on the PubMed, EMBASE, Scopus, and CNKI databases until December 25, 2023, using precise terms and keywords related to Gestational Diabetes, KCNJ11 gene, and polymorphism. Odds ratios and 95% confidence intervals were used to evaluate the relationships. The statistical analysis was conducted using Comprehensive Meta-Analysis software, and the Cochrane risk of bias assessment tool was used to determine bias presence. Results The meta-analysis comprised 9 studies with 3108 GDM cases and 5374 controls for the rs5219 polymorphism, and 3 studies with 1209 GDM cases and 1438 controls for the rs5210 polymorphism. The pooled data indicated a noteworthy link between the rs5219 polymorphism and GDM globally and among various ethnic groups, notably in Caucasian and Asian populations. However, no substantial association was observed between the rs5210 polymorphism and GDM. Conclusions Pooled data showed a correlation between the KCNJ11 rs5219 polymorphism and GDM susceptibility, but no association was found for the rs5210 polymorphism. Future research with larger sample sizes and more diverse populations is needed to improve result generalizability. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-024-01428-0.
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Affiliation(s)
| | - Reza Bahrami
- Neonatal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Alireza Dastgheib
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mojgan Karimi-Zarchi
- Department of Gynecologic Oncology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Sepideh Azizi
- Shahid Akbarabadi Clinical Research Development Unit, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Marzbanrad
- Department of Obstetrics and Gynecology, Firoozgar Clinical Research Development Center, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Nazanin Hajizadeh
- Prevention Gynecology Research Center, Imam Hossein hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Aghasipour
- Department of Cancer Biology, College of Medicine, University of Cincinnati, Cincinnati, OH USA
| | - Maryam Yeganegi
- Department of Obstetrics and Gynecology, Iranshahr University of Medical Sciences, Iranshahr, Iran
| | - Amirmasoud Shiri
- Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Kazem Aghili
- Department of Radiology, School of Medicine, Shahid Rahnamoun Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Hossein Neamatzadeh
- Mother and Newborn Health Research Center, School of Medicine, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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van Poppel MNM, Corcoy R, Hill D, Simmons D, Mendizabal L, Zulueta M, Simon L, Desoye G. Interaction between rs10830962 polymorphism in MTNR1B and lifestyle intervention on maternal and neonatal outcomes: secondary analyses of the DALI lifestyle randomized controlled trial. Am J Clin Nutr 2022; 115:388-396. [PMID: 34669935 DOI: 10.1093/ajcn/nqab347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/12/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Interactions between polymorphisms of the melatonin receptor 1B (MTNR1B) gene and lifestyle intervention for gestational diabetes have been described. Whether these are specific for physical activity or the healthy eating intervention is unknown. OBJECTIVES The aim was to assess the interaction between MTNR1B rs10830962 and rs10830963 polymorphisms and lifestyle interventions during pregnancy. METHODS Women with a BMI (in kg/m2) of ≥29 (n = 436) received counseling on healthy eating (HE), physical activity (PA), or both. The control group received usual care. This secondary analysis had a factorial design with comparison of HE compared with no HE and PA compared with no PA. Maternal outcomes at 24-28 wk were gestational weight gain (GWG), maternal fasting glucose, insulin, insulin resistance (HOMA-IR), disposition index, and development of GDM. Neonatal outcomes were cord blood leptin and C-peptide and estimated neonatal fat percentage. The interaction between receiving either the HE or PA intervention and genotypes of both rs10830962 and rs10830963 was assessed using multilevel regression analysis. RESULTS GDM risk was increased in women homozygous for the G allele of rs10830962 (OR: 2.60; 95% CI: 1.34, 5.06) or rs10830963 (OR: 2.83; 95% CI: 1.24, 6.47). Significant interactions between rs10830962 and interventions were found: in women homozygous for the G allele but not in the other genotypes, the PA intervention reduced maternal fasting insulin (β: -0.16; 95% CI: -0.33, 0.02; P = 0.08) and HOMA-IR (β: -0.17; 95% CI: -0.35, 0.01; P = 0.06), and reduced cord blood leptin (β: -0.84; 95% CI: -1.42, -0.25; P = 0.01) and C-peptide (β: -0.62; 95% CI: -1.07, -0.17; P = 0.01). In heterozygous women, the HE intervention had no effect, whereas in women homozygous for the C allele, HE intervention reduced GWG (β: -1.6 kg; 95% CI: -2.4, -0.8 kg). No interactions were found. CONCLUSIONS In women homozygous for the risk allele of MTNR1B rs10830962, GDM risk was increased and PA intervention might be more beneficial than HE intervention for reducing maternal insulin resistance, cord blood C-peptide, and cord blood leptin.
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Affiliation(s)
| | - Rosa Corcoy
- Institut de Recerca de l´Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Madrid, Spain
| | - David Hill
- Recherche en Santé Lawson SA, Bronschhofen, Switzerland.,Lawson Health Research Institute, London, Ontario, Canada
| | - David Simmons
- Western Sydney University, Campbelltown, New South Wales, Australia.,Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | | | | | - Laureano Simon
- Department of Obstetrics and Gynecology, Medical University Graz, Graz, Austria
| | - Gernot Desoye
- Department of Obstetrics and Gynecology, Medical University Graz, Graz, Austria
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Liu J, Li W, Liu B, Dai A, Wang Y, She L, Zhang P, Zheng W, Dai Q, Yang M. Melatonin Receptor 1B Genetic Variants on Susceptibility to Gestational Diabetes Mellitus: A Hospital-Based Case-Control Study in Wuhan, Central China. Diabetes Metab Syndr Obes 2022; 15:1207-1216. [PMID: 35480849 PMCID: PMC9035465 DOI: 10.2147/dmso.s345036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 04/01/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE The aim of the study was to find out the associations of Melatonin receptor 1B (MTNR1B) genetic variants with gestational diabetes mellitus (GDM) in Wuhan of central China. PATIENTS AND METHODS A hospital-based case-control study that included 1679 women was carried out to explore the associations of MTNR1B single nucleotide polymorphisms (SNPs) with GDM risk, which were analyzed through logistic regression analysis by adjusting age, pre-pregnancy BMI and family history of diabetes. Multifactor dimensionality reduction was applied to determine gene-gene interactions between SNPs. RESULTS MTNR1B SNPs rs10830962, rs10830963, rs1387153, rs7936247 and rs4753426 were significantly associated with GDM risk (P<0.05). The rs10830962/G, rs10830963/G, rs1387153/T, and rs7936247/T were risk variants, whereas rs4753426/T was protective variant for GDM development. Fasting plasma glucose (FPG) and 1h-plasma glucose (PG) were significantly different among genotypes at rs10830962 and rs10830963, whereas 2h-PG levels were not. Gene-gene interactions were not found among the five SNPs on GDM risk. CONCLUSION MTNR1B genetic variants have significant associations but no gene-gene interactions with GDM risk in central Chinese population. Furthermore, MTNR1B SNPs have significant relationships with glycemic traits.
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Affiliation(s)
- Jianqiong Liu
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Wei Li
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Bei Liu
- Technical Guidance Institute, Jinan Family Planning Service Center, Jinan, Shandong Province, People's Republic of China
| | - Anna Dai
- School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Yanqin Wang
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Lu She
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
- Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Pei Zhang
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
- Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Wenpei Zheng
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Qiong Dai
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Mei Yang
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
- Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
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Analysis of Evolution and Ethnic Diversity at Glucose-Associated SNPs of Circadian Clock-Related Loci with Cryptochrome 1, Cryptochrome 2, and Melatonin receptor 1B. Biochem Genet 2021; 59:1173-1184. [PMID: 33709300 DOI: 10.1007/s10528-021-10045-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 01/29/2021] [Indexed: 10/21/2022]
Abstract
Diabetes shows high heritability and, worldwide, causes significant health problems including cardiovascular disease and stroke. There is significant variation in the frequency of diabetes between different populations. Both Cryptochromes and Melatonin have a major role to regulate the circadian clock. Circadian clock failure causes metabolic dysfunctions including diabetes and obesity. Variations in the Cryptochrome 1, the Cryptochrome 2, and the Melatonin receptor 1B (MTNR1B) genes show associations with fasting glucose, and are also related to circadian clock. Here, we analyzed evidence for genetic selection and ethnic diversity at circadian clock- and glucose-related gene loci associated with Cryptochrome 1, Cryptochrome 2, and MTNR1B. We carried out a 3-step genetic method to investigate genetic selection at the Cryptochrome 1, Cryptochrome 2, and MTNR1B on four populations from the 1000 Genomes Project and HapMap. First we used F-statistics to quantify genetic population differences and find ethnic diversity. Then we applied a long-range haplotype test to detect significant extreme long haplotypes, and then the integrated haplotype score (iHS) to find genetic selection at Cryptochrome 1, Cryptochrome 2, and MTNR1B. We observed genetic population differences and ethnic diversity at one glucose-associated Cryptochrome 1 single-nucleotide polymorphism (SNP) (rs8192440), one glucose-associated Cryptochrome 2 SNP (rs11605924), and one glucose-associated MTNR1B SNP (rs10830963) by F-statistics. Both Cryptochrome 1 and MTNR1B also showed selection by the iHS. These observations show new evidence for evolution at Cryptochrome 1, Cryptochrome 2 and MTNR1B. Further investigation should continue to examine the evolution of circadian clock- and glucose-related genes.
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