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Stevens H, Verdone G, Lang L, Graham C, Pilic L, Mavrommatis Y. A systematic review of variations in circadian rhythm genes and type 2 diabetes. Nutr Health 2024; 30:61-75. [PMID: 37282546 DOI: 10.1177/02601060231179777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
BACKGROUND Type 2 diabetes is a chronic disease that has severe individual and societal consequences, which is forecast to worsen in the future. A new field of investigation is variations in circadian rhythm genes, in conjunction with diet and sleep variables, associations with, and effects on, type 2 diabetes development. OBJECTIVE This systematic review aimed to analyse all current literature regarding circadian rhythm gene variations and type 2 diabetes, and explore their interplay with diet and sleep variables on type 2 diabetes outcomes. This review was registered with PROSPERO (CRD42021259682). METHODOLOGY Embase and Pubmed were searched on 6/8/2021/11/8/2021 for studies of all designs, including participants from both sexes, all ethnicities, ages, and geographic locations. Participants with risk alleles/genotypes were compared with the wildtype regarding type 2 diabetes outcomes. Studies risk of bias were scored according to the risk of bias in non-randomised studies - interventions/exposures criteria. RESULTS In total, 31 studies were found (association n = 29/intervention n = 2) including >600,000 participants from various ethnicities, sexes, and ages. Variations in the melatonin receptor 1B, brain and muscle arnt-like 1 and period circadian regulator (PER) genes were consistently associated with type 2 diabetes outcomes. CONCLUSIONS Individuals with variations in melatonin receptor 1B, brain and muscle arnt-like 1 and PER may be at higher risk of type 2 diabetes. Further research is needed regarding other circadian rhythm genes. More longitudinal studies and randomised trials are required before clinical recommendations can be made.
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Affiliation(s)
- Harry Stevens
- St Mary's University, Twickenham, London, UK
- Cereneo Foundation, Vitznau, Switzerland
| | | | - Leonie Lang
- St Mary's University, Twickenham, London, UK
| | - Catherine Graham
- Cereneo Foundation, Vitznau, Switzerland
- Oxford Brookes University, Oxford, UK
| | - Leta Pilic
- St Mary's University, Twickenham, London, UK
- Optimyse Nutrition LTD, London, UK
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Liu YY, Wan Q. Relationship between GCKR gene rs780094 polymorphism and type 2 diabetes with albuminuria. World J Diabetes 2023; 14:1803-1812. [PMID: 38222779 PMCID: PMC10784796 DOI: 10.4239/wjd.v14.i12.1803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/10/2023] [Accepted: 11/28/2023] [Indexed: 12/14/2023] Open
Abstract
BACKGROUND Diabetic kidney disease is one of the common complications of type 2 diabetes (T2D). There are no typical symptoms in the early stage, and the disease will progress to moderate and late stage when albuminuria reaches a high level. Treatment is difficult and the prognosis is poor. At present, the pathogenesis of diabetic kidney disease is still unclear, and it is believed that it is associated with genetic and environmental factors. AIM To explore the relationship between the glucokinase regulatory protein (GCKR) gene rs780094 polymorphism and T2D with albuminuria. METHODS We selected 252 patients (126 males and 126 females) with T2D admitted to our hospital from January 2020 to October 2020, and 66 healthy people (44 females and 22 males). According to the urinary albumin/creatinine ratio, the subjects were divided into group I (control), group II (T2D with normoalbuminuria), group III (T2D with microalbuminuria), and group IV (T2D with macroalbuminuria). Additionly, the subjects were divided into group M (normal group) or group N (albuminuria group) according to whether they developed albuminuria. We detected the GCKR gene rs780094 polymorphism (C/T) of all subjects, and measured the correlation between GCKR gene rs780094 polymorphism (C/T) and T2D with albuminuria. RESULTS Gene distribution and genotype distribution among groups I-IV accorded with the Hardy-Weinberg equilibrium. Genotype frequency was significantly different among the four groups (P = 0.048, χ2 = 7.906). T allele frequency in groups II, III, and IV was significantly higher than that in group I. Logistic regression analysis of the risk factors for T2D with albuminuria showed that the CT + TT genotype (odds ratio = 1.710, 95% confidence interval: 1.172-2.493) was a risk factor. CONCLUSION CT + TT genotype is a risk factor for T2D with albuminuria. In the future, we can assess the risk of individuals carrying susceptible genes to delay the onset of T2D.
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Affiliation(s)
- Yi-Ying Liu
- Department of Endocrinology, Deyang People’s Hospital, Deyang 618000, Sichuan Province, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China
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Alzahrani OR, Mir R, Alatwi HE, Hawsawi YM, Alharbi AA, Alessa AH, Albalawi ES, Elfaki I, Alalawi Y, Moharam L, El-Ghaiesh SH. Potential Impact of PI3K-AKT Signaling Pathway Genes, KLF-14, MDM4, miRNAs 27a, miRNA-196a Genetic Alterations in the Predisposition and Progression of Breast Cancer Patients. Cancers (Basel) 2023; 15. [PMID: 36831624 DOI: 10.3390/cancers15041281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 02/19/2023] Open
Abstract
Genome-wide association studies have reported link between SNPs and risk of breast cancer. This study investigated the association of the selected gene variants by predicting them as possible target genes. Molecular technique advances with the availability of whole-exome sequencing (WES), now offer opportunities for simultaneous investigations of many genes. The experimental protocol for PI3K, AKT-1, KLF-14, MDM4, miRNAs 27a, and miR-196a genotyping was done by ARMS-PCR and sanger sequencing. The novel and known gene variants were studied by Whole-exome sequencing using Illumina NovaSeq 6000 platform. This case control study reports significant association between BC patients, healthy controls with the polymorphic variants of PI3K C > T, AKT-1 G > A KLF 14 C > T, MDM4 A > G, miR-27a A > G, miR-196a-2 C > T genes (p < 0.05). MDM4 A > G genotypes were strongly associated with BC predisposition with OR 2.08 & 2.15, p < 0.05) in codominant and dominant models respectively. MDM4 A allele show the same effective (OR1.76, p < 0.05) whereas it remains protective in recessive model for BC risk. AKT1G > A genotypes were strongly associated with the BC susceptibility in all genetic models whereas PI3K C > T genotypes were associated with breast cancer predisposition in recessive model OR 6.96. Polymorphic variants of KLF-14 A > G, MDM4G > A, MiR-27aA >G, miR-196a-C > T were strongly associated with stage, tamoxifen treatment. Risk variants have been reported by whole exome sequencing in our BC patients. It was concluded that a strong association between the PI3K-AKT signaling pathway gene variants with the breast cancer susceptibility and progression. Similarly, KLF 14-AA, MDM4-GA, miR27a-GG and miR-196a-CT gene variants were associated with the higher risk probability of BC and were strongly correlated with staging of the BC patients. This study also reported Low, novel, and intermediate-genetic-risk variants of PI3K, AKT-1, MDM4G & KLF-14 by utilizing whole-exome sequencing. These variants should be further investigated in larger cohorts' studies.
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Akash MSH, Rasheed S, Rehman K, Ibrahim M, Imran M, Assiri MA. Biochemical Activation and Regulatory Functions of Trans-Regulatory KLF14 and Its Association with Genetic Polymorphisms. Metabolites 2023; 13:metabo13020199. [PMID: 36837818 PMCID: PMC9962810 DOI: 10.3390/metabo13020199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
Krüpple-Like family of transcription factor-14 (KLF14) is a master trans-regulatory gene that has multiple biological regulatory functions and is involved in many pathological mechanisms. It controls the expressions of several other genes which are involved in multiple regulatory functions. KLF14 plays a significant role in lipid metabolism, glucose regulation and insulin sensitivity. Cell apoptosis, proliferation, and differentiation are regulated by the KLF14 gene, and up-regulation of KLF14 prevents cancer progression. KLF14 has been used as an epigenetic biomarker for the estimation of chronological age due to the presence of different age-related CpG sites on genes that become methylated with age. Different genome-wide association studies have identified several KLF14 variants in adipose tissues. These single nucleotide polymorphisms in KLF14 have been associated with dyslipidemia, insulin resistance, and glucose intolerance. Moreover, the prevalence of genetic polymorphism is different in different populations due to ethnic differences and epigenetic modifications. In addition, environmental and physiological factors such as diet, age, gender, and obesity are also responsible for genetic mutations in KLF14.
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Affiliation(s)
- Muhammad Sajid Hamid Akash
- Department of Pharmaceutical Chemistry, Government College University, Faisalabad 38000, Pakistan
- Correspondence: (M.S.H.A.); (K.R.)
| | - Sumbal Rasheed
- Department of Pharmaceutical Chemistry, Government College University, Faisalabad 38000, Pakistan
| | - Kanwal Rehman
- Department of Pharmacy, The Women University, Multan 60000, Pakistan
- Correspondence: (M.S.H.A.); (K.R.)
| | - Muhammad Ibrahim
- Department of Applied Chemistry, Government College University, Faisalabad 38000, Pakistan
| | - Muhammad Imran
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha 62413, Saudi Arabia
- Department of Chemistry, Faculty of Science, King Khalid University, Abha 62413, Saudi Arabia
| | - Mohammed A. Assiri
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha 62413, Saudi Arabia
- Department of Chemistry, Faculty of Science, King Khalid University, Abha 62413, Saudi Arabia
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Li YY, Wang H, Zhang YY. Melatonin receptor 1B gene rs10830963 C/G polymorphism associated with type 2 diabetes mellitus: An updated meta-analysis of 13,752 participants. Heliyon 2022; 8:e11786. [DOI: 10.1016/j.heliyon.2022.e11786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/13/2022] [Accepted: 11/14/2022] [Indexed: 11/22/2022] Open
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Nikolaev G, Robeva R, Konakchieva R. Membrane Melatonin Receptors Activated Cell Signaling in Physiology and Disease. Int J Mol Sci 2021; 23:ijms23010471. [PMID: 35008896 PMCID: PMC8745360 DOI: 10.3390/ijms23010471] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 02/07/2023] Open
Abstract
The pineal hormone melatonin has attracted great scientific interest since its discovery in 1958. Despite the enormous number of basic and clinical studies the exact role of melatonin in respect to human physiology remains elusive. In humans, two high-affinity receptors for melatonin, MT1 and MT2, belonging to the family of G protein-coupled receptors (GPCRs) have been cloned and identified. The two receptor types activate Gi proteins and MT2 couples additionally to Gq proteins to modulate intracellular events. The individual effects of MT1 and MT2 receptor activation in a variety of cells are complemented by their ability to form homo- and heterodimers, the functional relevance of which is yet to be confirmed. Recently, several melatonin receptor genetic polymorphisms were discovered and implicated in pathology-for instance in type 2 diabetes, autoimmune disease, and cancer. The circadian patterns of melatonin secretion, its pleiotropic effects depending on cell type and condition, and the already demonstrated cross-talks of melatonin receptors with other signal transduction pathways further contribute to the perplexity of research on the role of the pineal hormone in humans. In this review we try to summarize the current knowledge on the membrane melatonin receptor activated cell signaling in physiology and pathology and their relevance to certain disease conditions including cancer.
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Affiliation(s)
- Georgi Nikolaev
- Faculty of Biology, Sofia University “St. Kliment Ohridski”, 1504 Sofia, Bulgaria;
- Correspondence:
| | - Ralitsa Robeva
- Department of Endocrinology, Faculty of Medicine, Medical University, 1431 Sofia, Bulgaria;
| | - Rossitza Konakchieva
- Faculty of Biology, Sofia University “St. Kliment Ohridski”, 1504 Sofia, Bulgaria;
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Hu F, Zhang Y, Qin P, Zhao Y, Liu D, Zhou Q, Tian G, Li Q, Guo C, Wu X, Qie R, Huang S, Han M, Li Y, Zhang M, Hu D. Integrated analysis of probability of type 2 diabetes mellitus with polymorphisms and methylation of KCNQ1 gene: A nested case-control study. J Diabetes 2021; 13:975-986. [PMID: 34260825 DOI: 10.1111/1753-0407.13212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 06/17/2021] [Accepted: 07/07/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND To estimate the associations between single-nucleotide polymorphisms (SNPs) and methylation of KCNQ1 gene and type 2 diabetes mellitus (T2DM) risk and the interactions among SNPs, methylation, and environmental factors on T2DM risk. METHODS We genotyped five SNPs and tested methylation at 39 CpG loci of KCNQ1 in 290 T2DM cases and 290 matched controls nested in the Rural Chinese Cohort Study. Conditional logistic regression model was used to estimate the associations between SNPs and KCNQ1 methylation and T2DM risk. Multifactor dimensionality reduction (MDR) analysis was used to estimate the effect of the interactions SNPs-SNPs, SNPs-methylation, methylation-methylation and SNPs, and methylation-environment on T2DM risk. RESULTS Probability of T2DM was decreased with rs2283228 of KCNQ1 (CA vs AA, odds ratio [OR] = 0.65, 95% confidence interval [CI] 0.42-0.99). T2DM probability was significantly increased with rs2237895 combined with hypertriglyceridemia (OReg = 2.76, 95% CI 1.35-5.62), with hypertension (OReg = 2.23, 95% CI 1.25-3.98), and with body mass index (BMI; OReg = 1.93, 95% CI 1.12-3.34). T2DM probability was associated with methylation of CG11 and CG41 (OR = 1.89, 95% CI 1.23-2.89, P = .003). It was significantly associated with the interaction between BMI, hypertriglyceridemia, and CG5 methylation (P = .028 and .028), and the combined effects of CG11 with hypertriglyceridemia and hypertension. On MDR analysis, no significant interaction was observed. CONCLUSION T2DM probability was reduced 35% with rs2283228 polymorphism. It was associated with rs2237895 combined with hypertension, with BMI and with hypertriglyceridemia. The methylation at two CpG loci of KCNQ1 significantly increased T2DM risk by 89%.
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Affiliation(s)
- Fulan Hu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Yanyan Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Pei Qin
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Qionggui Zhou
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoyan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang Li
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Ming Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Dongsheng Hu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
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Zhang Z, Huang Y, Chen H, Wu P, Deng Z, Deng G, Zheng Y, Li G, Yuan L, Xu Y. The correlation between polymorphisms in the XPC gene and glioma susceptibility in a Chinese pediatric population. Transl Pediatr 2021; 10:1896-1904. [PMID: 34430438 PMCID: PMC8349950 DOI: 10.21037/tp-21-301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/15/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND A previous study revealed that single nucleotide polymorphisms (SNPs) in coding genes play a key role in tumorigenesis, genetic disorders, and drug resistance. Xeroderma pigmentosum group C (XPC) protein is a key DNA damage recognition factor that is required for maintaining the genomic stability. However, the correlation between XPC polymorphisms and glioma susceptibility is still unclear. Hence, this study aimed to investigate the correlation between XPC polymorphisms and pediatric glioma susceptibility. METHODS A total of 399 participants (171 glioma patients and 228 controls) were enrolled to evaluate the correlation between XPC polymorphism and pediatric glioma susceptibility. The count data of two groups was analyzed by chi-squared (χ2) test. Moreover, logistic regression was used to assess the strength of XPC polymorphisms associated with glioma susceptibility. RESULTS We identified that XPC rs1870134 G>C reduced pediatric glioma susceptibility. Compared to participants with rs1870134 GG/GC genotypes, those with rs1870134 CC genotype had a significantly lower risk for glioma [adjusted odds ratio (AOR) =0.10, 95% confidence interval (CI): 0.01 to 0.78, P=0.028]. Patients with 4-5 genotypes have higher risk of glioma than those with 0-3 genotypes (AOR =1.59, 95% CI: 1.04 to 2.43, P=0.031). The stratified analysis showed that the risky effects of rs2228000 CT/TT genotypes and rs2229090 GC/CC genotypes were more predominant among children aged ≥60 months, astrocytic tumors, and clinical stage I. CONCLUSIONS We found for the first time that XPC polymorphisms had a statistically significant correlation with pediatric glioma susceptibility in a Chinese population. The XPC rs2228000 CT/TT and rs2229090 GC/CC genotypes could both increase the risk of pediatric glioma in subgroups with females, astrocytic tumors, and clinical stage I. The XPC polymorphism has potential to be a useful adjunct method to screen pediatric glioma.
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Affiliation(s)
- Zhuorong Zhang
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yihuan Huang
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Honghao Chen
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Ping Wu
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Zhijian Deng
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Gaoyan Deng
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yongqin Zheng
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Guoyuan Li
- Department of Comprehensive and Emergency Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Li Yuan
- Department of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yingyi Xu
- Department of Anesthesiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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Sadeghi MB, Nakhaee A, Saravani R, Sadeghi MH, Sargazi S, Nia MH. SIRT1 functional polymorphisms (rs12778366, rs3758391) as genetic biomarkers of susceptibility to type 2 diabetes mellitus in Iranians: a case-control study and computational analysis. Int J Diabetes Dev Ctries 2021; 41:447-55. [DOI: 10.1007/s13410-020-00898-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
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Li C, Yang Y, Liu X, Li Z, Liu H, Tan Q. Glucose metabolism-related gene polymorphisms as the risk predictors of type 2 diabetes. Diabetol Metab Syndr 2020; 12:97. [PMID: 33292424 PMCID: PMC7643457 DOI: 10.1186/s13098-020-00604-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/22/2020] [Accepted: 10/26/2020] [Indexed: 02/07/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a complex polygenic metabolic disease characterized by elevated blood glucose. Multiple environmental and genetic factors can increase the risk of T2DM and its complications, and genetic polymorphisms are no exception. This review is mainly focused on the related genes involved in glucose metabolic, including G6PC2, GCK, GCKR and OCT3. In this review, we have summarized the results reported globally and found that the genetic variants of GCK and OCT3 genes is a risk factor for T2DM while G6PC2 and GCKR genes are controversial in different ethnic groups. Hopefully, this summary could possibly help researchers and physicians understand the mechanism of T2DM so as to diagnose and even prevent T2DM at early time.
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Affiliation(s)
- Cuilin Li
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China.
| | - Yuping Yang
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
| | - Xin Liu
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
| | - Zhongyu Li
- Laboratory Medical Center, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, China
| | - Hong Liu
- Department of Metabolism and Endocrinology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, China
| | - Qiuhong Tan
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
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Cao M, Zhang L, Chen T, Shi A, Xie K, Li Z, Xu J, Chen Z, Ji C, Wen J. Genetic Susceptibility to Gestational Diabetes Mellitus in a Chinese Population. Front Endocrinol (Lausanne) 2020; 11:247. [PMID: 32390949 PMCID: PMC7188786 DOI: 10.3389/fendo.2020.00247] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 04/03/2020] [Indexed: 12/23/2022] Open
Abstract
Introduction: New genetic variants associated with susceptibility to obesity and metabolic diseases have been discovered in recent genome-wide association (GWA) studies. The aim of this study was to investigate the association of theses risk variants with gestational diabetes mellitus (GDM). Methods: We performed a case-control study including 964 unrelated pregnant women with GDM and 1,021 pregnant women with normal glucose tolerance (as controls). A total of 33 genetic variants confirmed by GWA studies for obesity and metabolic diseases were selected and measured. Results: We observed that FTO rs1121980 and KCNQ1 rs163182 conferred a decreased GDM risk in the dominant and additive model [additive model: OR (95% CI) = 0.79 (0.67-0.94), P = 0.007 for rs1121980; OR(95%CI) = 0.84 (0.73-0.96), P = 0.009 for rs163182], whereas MC4R rs12970134 and PROX1 rs340841 conferred an increased GDM risk in the dominant, recessive, and additive model [additive model: OR(95%CI) = 1.25 (1.07-1.46), P = 0.006 for rs12970134; OR(95%CI) = 1.22 (1.07-1.39), P = 0.002 for rs340841). With the increasing number of risk alleles of the four significant SNPs, GDM risk was significantly increased in a dose-dependent manner (Ptrend < 0.001). And the significant positive associations between the weighted genetic risk score and risk of GDM persisted. Further function annotation indicated that these four SNPs may fall on the functional elements of human pancreatic islets. The genotype-phenotype associations indicated that these SNPs may contribute to GDM by affecting the expression levels of their nearby or distant genes. Conclusion: Our study suggests that FTO rs1121980, KCNQ1 rs163182, MC4R rs12970134, and PROX1 rs340841 may be markers for susceptibility to GDM in a Chinese population.
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Affiliation(s)
- Minkai Cao
- Department of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China
| | - Le Zhang
- Department of Neonatology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Chen
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Aiwu Shi
- Department of MICU, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Kaipeng Xie
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Zhengying Li
- Department of Neonatology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China
| | - Jianjuan Xu
- Department of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China
| | - Zhong Chen
- Department of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China
- *Correspondence: Zhong Chen
| | - Chenbo Ji
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
- Chenbo Ji
| | - Juan Wen
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
- Juan Wen
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Yu XX, Liao MQ, Zeng YF, Gao XP, Liu YH, Sun W, Zhu S, Zeng FF, Ye YB. Associations of KCNQ1 Polymorphisms with the Risk of Type 2 Diabetes Mellitus: An Updated Meta-Analysis with Trial Sequential Analysis. J Diabetes Res 2020; 2020:7145139. [PMID: 32695830 PMCID: PMC7362295 DOI: 10.1155/2020/7145139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 04/10/2020] [Accepted: 04/28/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Previous studies have examined the role of the KQT-like subfamily Q member1 (KCNQ1) gene polymorphisms on the risk of type 2 diabetes mellitus (T2DM), but the findings are inconclusive. OBJECTIVE To examine the association between the KCNQ1 gene polymorphisms and the risk of T2DM using an updated meta-analysis with an almost tripled number of studies. METHODS Five electronic databases, such as PubMed and Embase, were searched thoroughly for relevant studies on the associations between seven most studied KCNQ1 gene polymorphisms, including rs2237892, rs2237897, rs2237895, rs2283228, rs231362, rs151290, and rs2074196, and T2DM risk up to September 14, 2019. The summary odds ratios (ORs) with their 95% confidence intervals (CIs) were applied to assess the strength of associations in the random-effects models. We used the trial sequential analysis (TSA) to measure the robustness of the evidence. RESULTS 49 publications including 55 case-control studies (68,378 cases and 66,673 controls) were finally enrolled. In overall analyses, generally, increased T2DM risk was detected for rs2237892, rs2237895, rs2283228, rs151290, and rs2074196, but not for rs231362 under all genetic models. The ORs and 95% CIs for allelic comparison were 1.23 (1.14-1.33) for rs2237892, 1.21 (1.16-1.27) for rs2237895, 1.27 (1.11-1.46) for rs2237897, 1.25 (1.09-1.42) for rs2283228, 1.14 (1.03-1.27) for rs151290, 1.31 (1.23-1.39) for rs2074196, and 1.16 (0.83, 1.61) for rs231362. Stratified analyses showed that associations for rs2237892, rs2237895, rs2283228, and rs151290 were more evident among Asians than Caucasians. TSA demonstrated that the evidence was sufficient for all polymorphisms in this study. The genotypes of the three SNPs (rs2237892, rs2283228, and rs231362) were significantly correlated with altered KCNQ1 gene expression. CONCLUSION This meta-analysis suggested that KCNQ1 gene polymorphisms (rs2237892, rs2283228, rs2237895, rs151290, and rs2074196) might be the susceptible factors for T2DM, especially among Asian population.
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Affiliation(s)
- Xiao-xuan Yu
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Min-qi Liao
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yu-fei Zeng
- Department of Obstetrics and Gynecology, Shangrao Fifth People's Hospital, Shangrao, Jiangxi 334000, China
| | - Xu-ping Gao
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yan-hua Liu
- The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052 Henan, China
| | - Wei Sun
- Customs Comprehensive Laboratory, Baiyun International Airport Customs, Hengyi Road, Guangzhou, 510080 Guangdong, China
| | - Sui Zhu
- Department of Medical Statistics, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Fang-fang Zeng
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yan-bin Ye
- Department of Nutrition, The First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou, 510080 Guangdong, China
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Li Y, Shen K, Li C, Yang Y, Yang M, Tao W, He S, Shi L, Yao Y. Identifying the association between single nucleotide polymorphisms in KCNQ1, ARAP1, and KCNJ11 and type 2 diabetes mellitus in a Chinese population. Int J Med Sci 2020; 17:2379-2386. [PMID: 32922204 PMCID: PMC7484634 DOI: 10.7150/ijms.48072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 08/21/2020] [Indexed: 12/27/2022] Open
Abstract
Background: Type 2 diabetes mellitus (T2DM) has a high global prevalence, and insufficient insulin secretion is one of the major reasons for its development. Therefore, investigating the association between T2DM and the single nucleotide polymorphisms (SNPs) in genes associated with insulin secretion is necessary. Methods: T2DM (1,194) and nondiabetic (NDM) (1,292) subjects were enrolled and the ten single nucleotide polymorphisms (SNPs) in KCNQ1, ARAP1, and KCNJ11 associated with insulin secretion were genotyped in a Chinese population. Results: Our data revealed that the rs2237897T allele in KCNQ1 is the protective allele for T2DM (P<0.001, OR=0.793; 95%CI: 0.705-0.893). However, the A allele of rs1552224 in ARAP1 may be a risk factor for T2DM (P=0.002, OR=12.070; 95% CI: 1.578-92.337). The haplotype analysis revealed that rs151290-rs2237892CC and rs2237895-rs2237897CC in KCNQ1 constitute the risk haplotype in T2DM development (P=0.010, OR=1.160; 95% CI: 1.037-1.299 and P=0.004, OR=1.192; 95% CI: 1.057-1.344). Moreover, rs2237895-rs2237897AT in KCNQ1 constitutes the protective haplotype in T2DM (P=0.001, OR=0.819; 95% CI: 0.727-0.923). In the inheritance models analysis, the rs2283228 (C/A-C/C) genotype is the protective factor compared to the A/A genotype (P=0.005, OR=0.79; 95% CI: 0.68-0.93). For rs2237897, the C/T-T/T genotype is the protective factor compared to the C/C genotype (P<0.001, OR=0.74; 95% CI: 0.63-0.87). Furthermore, when compared with the rs2237897 (C/T-T/T) genotype, rs2237897C/C genotype showed higher HbA1C levels (8.731±2.697 vs 9.282±2.921, P=0.001). Conclusion: Our results revealed that genetic variations in KCNQ1 and ARAP1 were associated with T2DM susceptibility in a Chinese population.
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Affiliation(s)
- Yiping Li
- Department of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming 650021, Yunnan, China
| | - Keyu Shen
- Department of Medicine, Dentistry and Healthy Science, The University of Melbourne, Melbourne VIC3010, Australia
| | - Chuanyin Li
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming 650118, Yunnan, China
| | - Ying Yang
- Department of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming 650021, Yunnan, China
| | - Man Yang
- Department of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming 650021, Yunnan, China
| | - Wenyu Tao
- Department of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming 650021, Yunnan, China
| | - Siqi He
- School of Clinical Medicine, Dali University, Dali 671000, Yunnan, China
| | - Li Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming 650118, Yunnan, China
| | - Yufeng Yao
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming 650118, Yunnan, China
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Kahl KG, Stapel B, Frieling H. Link between depression and cardiovascular diseases due to epigenomics and proteomics: Focus on energy metabolism. Prog Neuropsychopharmacol Biol Psychiatry 2019; 89:146-157. [PMID: 30194950 DOI: 10.1016/j.pnpbp.2018.09.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 08/13/2018] [Accepted: 09/05/2018] [Indexed: 12/11/2022]
Abstract
Major depression is the most common mental disorder and a leading cause of years lived with disability. In addition to the burden attributed to depressive symptoms and reduced daily life functioning, people with major depression are at increased risk of premature mortality, particularly due to cardiovascular diseases. Several studies point to a bi-directional relation between major depression and cardiovascular diseases, thereby indicating that both diseases may share common pathophysiological pathways. These include lifestyle factors (e.g. physical activity, smoking behavior), dysfunctions of endocrine systems (e.g. hypothalamus-pituitary adrenal axis), and a dysbalance of pro- and anti-inflammatory factors. Furthermore, recent research point to the role of epigenomic and proteomic factors, that are reviewed here with a particular focus on the mitochondrial energy metabolism.
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Affiliation(s)
- Kai G Kahl
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Germany.
| | - Britta Stapel
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Germany
| | - Helge Frieling
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Germany
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Wen Z, Zou X, Xie X, Zheng S, Chen X, Zhu K, Dong S, Liang J, Huang X, Liu D, Wang Y, Liu Y, Wu J, Ying Y, Liu K, Lu C, Zhang B, Yang G, Jing C, Nie L. Association of Polymorphisms in miRNA Processing Genes With Type 2 Diabetes Mellitus and Its Vascular Complications in a Southern Chinese Population. Front Endocrinol (Lausanne) 2019; 10:461. [PMID: 31354628 PMCID: PMC6639830 DOI: 10.3389/fendo.2019.00461] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 06/25/2019] [Indexed: 01/12/2023] Open
Abstract
Objective: To evaluate the potential association between the genetic variants in miRNA processing genes (RAN, XPO5, DICER1, and TARBP2) and susceptibility to type 2 diabetes mellitus (T2DM) and its vascular complications, as well as to further investigate their interaction with environmental factors in type 2 diabetes. Methods: We conducted a case-control study in genotyping of five polymorphic loci, including RAN rs14035, XPO5 rs11077, DICER1 rs13078, DICER1 rs3742330, and TARBP2 rs784567, in miRNA processing genes to explore the risk factors for T2DM and diabetic vascular complications. Haplotype analyses, interactions of gene-gene and interactions of gene-environment were performed too. Results: We identified a 36% decreased risk of developing T2DM in individuals with the minor A allele in DICER1 rs13078 (OR: 0.64; 95%CI: 0.42-0.95; P: 0.026). The AA haplotype in DICER1 was also associated with a protective effect on T2DM compared with the AT haplotype (OR: 0.63; 95%CI: 0.42-0.94; P-value: 0.023). T2DM patients with the TT+TC genotype at RAN rs14035 had a 1.89-fold higher risk of developing macrovascular complications than patients with the CC genotype (OR: 1.89; 95%CI: 1.04-3.45; P-value: 0.037). We also identified two three-factor interaction models. One is a three-factor [DICER1 rs13078, body mass index (BMI), and triglyceride (TG)] interaction model for T2DM (OR: 5.93; 95%CI: 1.25-28.26; P = 0.025). Another three-factor [RAN rs14035, hypertension (HP), and duration of T2DM (DOD)] interaction model was found for macrovascular complications of T2DM (OR = 41.60, 95%CI = 11.75-147.35, P < 0.001). Conclusion: Our study provides new evidence that two single nucleotide polymorphisms (SNPs) of the miRNA processing genes, DICER1 and RAN, and their interactions with certain environmental factors might contribute to the risk of T2DM and its vascular complications in the southern Chinese population.
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Affiliation(s)
- Zihao Wen
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaoqian Zou
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Xin Xie
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Shaoling Zheng
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaojing Chen
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Kehui Zhu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Shirui Dong
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Jiayu Liang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Xiuxia Huang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Dandan Liu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Yao Wang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Yumei Liu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Jing Wu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Yuting Ying
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Kailiang Liu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Congying Lu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Baohuan Zhang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Guang Yang
- Department of Pathogen Biology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, China
- *Correspondence: Guang Yang
| | - Chunxia Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, China
- Chunxia Jing
| | - Lihong Nie
- Department of Endocrine, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Lihong Nie
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Liu Y, Wang C, Chen Y, Yuan Z, Yu T, Zhang W, Tang F, Gu J, Xu Q, Chi X, Ding L, Xue F, Zhang C. A variant in KCNQ1 gene predicts metabolic syndrome among northern urban Han Chinese women. BMC Med Genet 2018; 19:153. [PMID: 30157802 PMCID: PMC6114251 DOI: 10.1186/s12881-018-0652-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 07/23/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND Previous studies have reported that the potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is associated with diabetes in both European and Asian population. This study aims to find a predictable single nucleotide polymorphism (SNP) to predict the risk of metabolic syndrome (MetS) through investigating the association of SNP in KCNQ1 gene with MetS in Han Chinese women of northern urban area. METHODS Six SNPs were selected and genotyped in 1381 unrelated women aged 21 and above, who have had physical check-up in Shandong Provincial Qianfoshan Hospital. Cox proportional model was conducted to access the association between SNPs and MetS. RESULTS Sixty one women developed MetS between 2010 and 2015 during the 3055 person-year of follow-up. The cumulative incidence density was 19.964/1000 person-year. The SNP rs163182 was associated with MetS both in the additive genetic model (RR = 1.658, 95% CI: 1.144-2.402) and in the recessive genetic model (RR = 2.461, 95% CI: 1.347-4.496). It remained significant after adjustment. This relationship was also observed in MetS components (BMI and SBP). CONCLUSION A novel association between rs163182 and MetS was found in this study, which can predict the occurrence of MetS among northern urban Han Chinese women. More investigations are needed to be done to assess the possible pathway in which KCNQ1 gene affects MetS.
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Affiliation(s)
- Yafei Liu
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.,Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China
| | - Chunxia Wang
- Jinan Kingmed Center for Clinical Laboratory Co, Ltd., 554 Zhengfeng Rd, Jinan, 250010, Shandong, China
| | - Yafei Chen
- Linyi Centre for Adverse Drug Reaction Monitoring, Linyi, 276000, Shandong, China
| | - Zhongshang Yuan
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China
| | - Tao Yu
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China
| | - Wenchao Zhang
- Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China
| | - Fang Tang
- Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China
| | - Jianhua Gu
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China
| | - Qinqin Xu
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China
| | - Xiaotong Chi
- Department of Imaging and Nuclear Medicine, Taishan Medical University, 619 Changcheng Rd, Tai'an, 271016, Shandong, China
| | - Lijie Ding
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China
| | - Fuzhong Xue
- Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
| | - Chengqi Zhang
- Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China.
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Chen YC, Xu C, Zhang JG, Zeng CP, Wang XF, Zhou R, Lin X, Ao ZX, Lu JM, Shen J, Deng HW. Multivariate analysis of genomics data to identify potential pleiotropic genes for type 2 diabetes, obesity and dyslipidemia using Meta-CCA and gene-based approach. PLoS One 2018; 13:e0201173. [PMID: 30110382 DOI: 10.1371/journal.pone.0201173] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 07/10/2018] [Indexed: 11/19/2022] Open
Abstract
Previous studies have demonstrated the genetic correlations between type 2 diabetes, obesity and dyslipidemia, and indicated that many genes have pleiotropic effects on them. However, these pleiotropic genes have not been well-defined. It is essential to identify pleiotropic genes using systematic approaches because systematically analyzing correlated traits is an effective way to enhance their statistical power. To identify potential pleiotropic genes for these three disorders, we performed a systematic analysis by incorporating GWAS (genome-wide associated study) datasets of six correlated traits related to type 2 diabetes, obesity and dyslipidemia using Meta-CCA (meta-analysis using canonical correlation analysis). Meta-CCA is an emerging method to systematically identify potential pleiotropic genes using GWAS summary statistics of multiple correlated traits. 2,720 genes were identified as significant genes after multiple testing (Bonferroni corrected p value < 0.05). Further, to refine the identified genes, we tested their relationship to the six correlated traits using VEGAS-2 (versatile gene-based association study-2). Only the genes significantly associated (Bonferroni corrected p value < 0.05) with more than one trait were kept. Finally, 25 genes (including two confirmed pleiotropic genes and eleven novel pleiotropic genes) were identified as potential pleiotropic genes. They were enriched in 5 pathways including the statin pathway and the PPAR (peroxisome proliferator-activated receptor) Alpha pathway. In summary, our study identified potential pleiotropic genes and pathways of type 2 diabetes, obesity and dyslipidemia, which may shed light on the common biological etiology and pathogenesis of these three disorders and provide promising insights for new therapies.
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Patel R, Rathwa N, Palit SP, Ramachandran AV, Begum R. Association of melatonin &MTNR1B variants with type 2 diabetes in Gujarat population. Biomed Pharmacother. 2018;103:429-434. [PMID: 29674279 DOI: 10.1016/j.biopha.2018.04.058] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 04/07/2018] [Accepted: 04/09/2018] [Indexed: 01/09/2023] Open
Abstract
AIM/HYPOTHESIS Melatonin is a circadian rhythm regulator and any imbalance in its levels can be related to various metabolic disorders. Melatonin and the genetic variants of Melatonin Receptor 1B (MTNR1B) are reported to be associated with Type 2 Diabetes (T2D) susceptibility. The aim of the present study was to investigate i) plasma melatonin levels ii) Single Nucleotide Polymorphisms (SNPs) of MTNR1B and iii) Genotype-phenotype correlation analysis in T2D patients. METHODS Plasma and PBMCs were separated from venous blood of 478 diabetes patients and 502 controls. Genomic DNA was isolated from PBMCs. PCR-RFLP was used for genotyping. Melatonin was estimated from plasma samples by ELISA. RESULTS Our study suggests: i) decreased plasma melatonin levels in T2D patients and, ii) association of MTNR1B rs10830963 GG genotype with increased Fasting Blood Glucose (FBG). CONCLUSION It can be concluded that reduced titer of melatonin along with altered FBG due to MTNR1B genetic variant could act as a potent risk factor towards T2D in Gujarat population.
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Hao JS, Zhu CJ, Yan BY, Yan CY, Ling R. Stimulation of KLF14/PLK1 pathway by thrombin signaling potentiates endothelial dysfunction in Type 2 diabetes mellitus. Biomed Pharmacother 2018; 99:859-866. [PMID: 29710485 DOI: 10.1016/j.biopha.2018.01.151] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 01/25/2018] [Accepted: 01/29/2018] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) promotes a high oxidative stress and hypercoagulable state that drives microvascular injury and multiple-organ abnormality. Elevated thrombin activity underlies T2DM-linked endothelial dysfunction, but the mechanistic links between T2DM/oxidative stress axis and thrombin-associated endothelial pathologies are incompletely understood. In this work, immunohistochemical studies and quantitative analysis using isolated endothelial cells (ECs) identified accumulated Kru¨ppel-like family of transcription factor 14 (KLF14) deposits in ECs from multiple organs as distinct features of T2DM mice. KLF14 upregulation in ECs, which was stimulated by thrombin treatment, was dependent on multiple pathways including calcium mobilization, activation of PKC and AMPK pathways. Functionally, inhibition of endogenous KLF14 expression significantly attenuated thrombin-induced endotheliocyte proliferation, endothelial cell migration and oxidative stress. Molecularly, by directly binding the promoter, KLF14 functions as a transcriptional activator of PLK1, a polo-like kinase whose overexpression induced excessive reactive oxygen species (ROS) production. Transient knockdown of PLK1 was sufficient to suppress KLF14 overexpression-potentiated endothelial dysfunction. Collectively, these data provide proof of concept that deregulation of KLF14/PLK1 cascade plays a key role in thrombin-induced endothelial dysfunction and targeting KLF14 or PLK1 may limit thrombin-associated pathologies in T2DM patients.
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Affiliation(s)
- Jun-Sheng Hao
- Department of Thyroid Gland and Breast Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, PR China
| | - Chao-Juan Zhu
- Department of Emergency Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, PR China
| | - Bin-Yuan Yan
- Department of Epidemiology, School of Public Health, Fourth Military Medical University, Xi'an 710032, PR China
| | - Chang-You Yan
- Family Planning Service Stations of Health and Family Planning Commission of Chengcheng County, Weinan City 714000, PR China.
| | - Rui Ling
- Department of Thyroid Gland and Breast Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, PR China.
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Gao K, Ren Y, Wang J, Liu Z, Li J, Li L, Wang B, Li H, Wang Y, Cao Y, Ohno K, Zhai R, Liang Z. Interactions between genetic polymorphisms of glucose metabolizing genes and smoking and alcohol consumption in the risk of type 2 diabetes mellitus. Appl Physiol Nutr Metab 2017; 42:1316-1321. [PMID: 28806535 DOI: 10.1139/apnm-2017-0232] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The impact of gene-environment interaction on diabetes remains largely unknown. We aimed to investigate if interaction between glucose metabolizing genes and lifestyle factors is associated with type 2 diabetes mellitus (T2DM). Interactions between genotypes of 4 glucose metabolizing genes (MTNR1B, KCNQ1, KLF14, and GCKR) and lifestyle factors were estimated in 722 T2DM patients and 759 controls, using multiple logistic regression. No significant associations with T2DM were detected for the single nucleotide polymorphisms of MTNR1B, KLF14 and GCKR. However, rs151290 (KCNQ1) polymorphisms were found to be associated with risk of T2DM. Compared with AA, the odds ratios (ORs) of AC or CC genotypes for developing T2DM were 1.545 (P = 0.0489) and 1.603 (P = 0.0383), respectively. In stratified analyses, the associations were stronger in smokers with CC than smokers with AA (OR = 3.668, P = 0.013); drinkers with AC (OR = 5.518, P = 0.036), CC (OR = 8.691, P = 0.0095), and AC+CC (OR = 6.764, P = 0.016) than drinkers with AA. Compared with nondrinkers with AA, drinkers who carry AC and CC had 12.072-fold (P = 0.0007) and 8.147-fold (P = 0.0052) higher risk of developing T2DM. In conclusions, rs151290 (KCNQ1) polymorphisms are associated with increased risk of T2DM, alone and especially in interaction with smoking and alcohol.
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Affiliation(s)
- Kaiping Gao
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Yongcheng Ren
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Jinjin Wang
- Department of Traditional Chinese Medicine Prevention, Preventive Medicine Research Evaluation Center, Henan University of Traditional Chinese Medicine, Zhengzhou, 450001, China
| | - Zichen Liu
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Jianna Li
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Linlin Li
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Bingyuan Wang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Hong Li
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Yaxi Wang
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Yunkai Cao
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Kinji Ohno
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, University Graduate School of Medicine, Nagoya, 4668550, Japan
| | - Rihong Zhai
- Department of Preventive Medicine, Shenzhen University School of Medicine, 3688 Nanhai Road, Shenzhen, 518060, China
| | - Zhen Liang
- Department of Geriatric Medicine, The 1st Affiliated Hospital of Shenzhen University, 3002 West Sungang Road, Shenzhen, 518035, China
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Zeng C, Zhou Z, Han Y, Wen Z, Guo C, Huang S, Xiao D, Ye X, Ou M, Huang C, Ye X, Yang G, Jing C, Nie L. Interactions of TRAF6 and NLRX1 gene polymorphisms with environmental factors on the susceptibility of type 2 diabetes mellitus vascular complications in a southern Han Chinese population. J Diabetes Complications 2017; 31:1652-1657. [PMID: 29046236 DOI: 10.1016/j.jdiacomp.2017.08.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 08/03/2017] [Accepted: 08/28/2017] [Indexed: 12/18/2022]
Abstract
AIMS To evaluate the effects of TRAF6 and NLRX1 polymorphisms and their interactions with environmental factors on the susceptibility of type 2 diabetes mellitus (T2DM) vascular complications in a southern Han Chinese population. METHODS Five single nucleotide polymorphisms (SNPs) were genotyped in a case-control study to estimate risk factors of T2DM vascular complications. Gene-gene and gene-environment interactions and haplotype associations were also estimated. RESULTS The CA genotype of the NLRX1 rs4245191 was identified as a risk factor for T2DM macrovascular complications and diabetic cerebral infarction (OR=2.88, 95% CI=1.15-7.22, P=0.024; OR=4.00, 95% CI=1.04-15.38, P=0.043, respectively). A significantly lower T allele frequency in the TRAF6 rs16928973 was observed in T2DM patients with both microvascular and macrovascular complications compared with patients without any complication under the allelic model (T vs. C: OR=0.36, 95% CI=0.14-0.98, P=0.038). No significant differences in haplotypes, gene-gene interactions and gene-environment interactions were observed among T2DM vascular subgroup patients. CONCLUSIONS Our study provides evidence that the NLRX1 rs4245191 polymorphisms influence the risk of T2DM macrovascular complications and diabetic cerebral infarction.
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Affiliation(s)
- Chengli Zeng
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Zixing Zhou
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yajing Han
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Zihao Wen
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Congcong Guo
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Shiqi Huang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Di Xiao
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Xiaohong Ye
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Meiling Ou
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Chuican Huang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Xingguang Ye
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Guang Yang
- Department of Pathogen biology, School of Medicine, Jinan University, Guangzhou 510632, China; Guangzhou Key Laboratory of Environmental Exposure and Health, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, Guangdong, China.
| | - Chunxia Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China; Guangzhou Key Laboratory of Environmental Exposure and Health, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, Guangdong, China.
| | - Lihong Nie
- Department of Endocrine, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.
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