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Mehramiz M, Porter T, O’Brien EK, Rainey-Smith SR, Laws SM. A Potential Role for Sirtuin-1 in Alzheimer's Disease: Reviewing the Biological and Environmental Evidence. J Alzheimers Dis Rep 2023; 7:823-843. [PMID: 37662612 PMCID: PMC10473168 DOI: 10.3233/adr-220088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 07/08/2023] [Indexed: 09/05/2023] Open
Abstract
Sirtuin-1 (Sirt1), encoded by the SIRT1 gene, is a conserved Nicotinamide adenine dinucleotide (NAD+) dependent deacetylase enzyme, considered as the master regulator of metabolism in humans. Sirt1 contributes to a wide range of biological pathways via several mechanisms influenced by lifestyle, such as diet and exercise. The importance of a healthy lifestyle is of relevance to highly prevalent modern chronic diseases, such as Alzheimer's disease (AD). There is growing evidence at multiple levels for a role of Sirt1/SIRT1 in AD pathological mechanisms. As such, this review will explore the relevance of Sirt1 to AD pathological mechanisms, by describing the involvement of Sirt1/SIRT1 in the development of AD pathological hallmarks, through its impact on the metabolism of amyloid-β and degradation of phosphorylated tau. We then explore the involvement of Sirt1/SIRT1 across different AD-relevant biological processes, including cholesterol metabolism, inflammation, circadian rhythm, and gut microbiome, before discussing the interplay between Sirt1 and AD-related lifestyle factors, such as diet, physical activity, and smoking, as well as depression, a common comorbidity. Genome-wide association studies have explored potential associations between SIRT1 and AD, as well as AD risk factors and co-morbidities. We summarize this evidence at the genetic level to highlight links between SIRT1 and AD, particularly associations with AD-related risk factors, such as heart disease. Finally, we review the current literature of potential interactions between SIRT1 genetic variants and lifestyle factors and how this evidence supports the need for further research to determine the relevance of these interactions with respect to AD and dementia.
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Affiliation(s)
- Mehrane Mehramiz
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- Collaborative Genomics and Translation Group, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Tenielle Porter
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- Collaborative Genomics and Translation Group, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Curtin Medical School, Curtin University, Bentley, Western Australia, Australia
| | - Eleanor K. O’Brien
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- Collaborative Genomics and Translation Group, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Stephanie R. Rainey-Smith
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - Simon M. Laws
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- Collaborative Genomics and Translation Group, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Curtin Medical School, Curtin University, Bentley, Western Australia, Australia
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Santander-Lucio H, Totomoch-Serra A, Muñoz MDL, García-Hernández N, Pérez-Ramírez G, Valladares-Salgado A, Pérez-Muñoz AA. Variants in the Control Region of Mitochondrial Genome Associated with type 2 Diabetes in a Cohort of Mexican Mestizos. Arch Med Res 2023; 54:113-123. [PMID: 36792418 DOI: 10.1016/j.arcmed.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/09/2022] [Accepted: 12/20/2022] [Indexed: 02/15/2023]
Abstract
BACKGROUND According to the International Diabetes Federation, Mexico is seventh place in the prevalence of type 2 diabetes (T2D) worldwide. Mitochondrial DNA variant association studies in multifactorial diseases like T2D are scarce in Mexican populations. AIM OF THE STUDY The objective of this study was to analyze the association between 18 variants in the mtDNA control region and T2D and related metabolic traits in a Mexican mestizo population from Mexico City. METHODS This study included 1001 participants divided into 477 cases with T2D and 524 healthy controls aged between 42 and 62 years and 18 mtDNA variants with frequencies >15%. RESULTS Association analyses matched by age and sex showed differences in the distribution between cases and controls for variants m.315_316insC (p = 1.18 × 10-6), m.489T>C (p = 0.009), m.16362T>C (p = 0.001), and m.16519T>C (p = 0.004). The associations between T2D and variants m.315_316ins (OR = 6.13, CI = 3.42-10.97, p = 1.97 × 10-6), m.489T>C (OR = 1.45, CI = 1.00-2.11, p = 0.006), m.16362T>C (OR = 2.17, CI = 1.57-3.00, p = 0.001), and m.16519T>C (OR = 1.69, CI = 1.23-2.33, p = 0.006) were significant after performing logistic regression models adjusted for age, sex, and diastolic blood pressure. Metabolic traits in the control group through linear regressions, adjusted for age, sex and BMI, and corrected for multiple comparisons showed nominal association between glucose and variants m.263A>G (p <0.050), m.16183A>C (p <0.010), m.16189T>C (p <0.020), and m.16223C>T (p <0.024); triglycerides, and cholesterol and variant m.309_310insC (p <0.010 and p <0.050 respectively); urea, and creatinine, and variant m.315_316insC (p <0.007, and p <0.004 respectively); diastolic blood pressure and variants m.235A>G (p <0.016), m.263A>G (p <0.013), m.315_316insC (p <0.043), and m.16111C>T (p <0.022). CONCLUSION These results demonstrate a strong association between variant m.315_316insC and T2D and a nominal association with T2D traits.
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Affiliation(s)
- Heriberto Santander-Lucio
- Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México
| | - Armando Totomoch-Serra
- Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México; Departamento de Electrofisiología, Instituto Nacional de Cardiología, Ignacio Chávez, Ciudad de México, México
| | - María de Lourdes Muñoz
- Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México.
| | - Normand García-Hernández
- Unidad de Investigación Médica en Genética Humana, Hospital de Pediatría, Dr. Silvestre Frenk Freud, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Gerardo Pérez-Ramírez
- Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México
| | - Adán Valladares-Salgado
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Ashael Alfredo Pérez-Muñoz
- Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México; Universidad Anáhuac México Norte, Ciudad de México, México
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Moazzam-Jazi M, Najd-Hassan-Bonab L, Masjoudi S, Tohidi M, Hedayati M, Azizi F, Daneshpour MS. Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case-control study and meta-analysis. Sci Rep 2022; 12:20709. [PMID: 36456687 PMCID: PMC9715540 DOI: 10.1038/s41598-022-24931-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
Due to the central role in insulin secretion, the potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene is one of the essential genes for type 2 diabetes (T2D) predisposition. However, the relevance of this gene to T2D development is not consistent among diverse populations. In the current study, we aim to capture the possible association of common KCNJ11 variants across Iranian adults, followed by a meta-analysis. We found that the tested variants of KCNJ11 have not contributed to T2D incidence in Iranian adults, consistent with similar insulin secretion levels among individuals with different genotypes. The integration of our results with 72 eligible published case-control studies (41,372 cases and 47,570 controls) as a meta-analysis demonstrated rs5219 and rs5215 are significantly associated with the increased T2D susceptibility under different genetic models. Nevertheless, the stratified analysis according to ethnicity showed rs5219 is involved in the T2D risk among disparate populations, including American, East Asian, European, and Greater Middle Eastern, but not South Asian. Additionally, the meta-regression analysis demonstrated that the sample size of both case and control groups was significantly associated with the magnitude of pooled genetic effect size. The present study can expand our knowledge about the KCNJ11 common variant's contributions to T2D incidence, which is valuable for designing SNP-based panels for potential clinical applications in precision medicine. It also highlights the importance of similar sample sizes for avoiding high heterogeneity and conducting a more precise meta-analysis.
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Affiliation(s)
- Maryam Moazzam-Jazi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leila Najd-Hassan-Bonab
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajedeh Masjoudi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- Prevention of Metabolic Disorder Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Hedayati
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Emerging Roles of FTO in Neuropsychiatric Disorders. BIOMED RESEARCH INTERNATIONAL 2022; 2022:2677312. [PMID: 35528183 PMCID: PMC9071897 DOI: 10.1155/2022/2677312] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/11/2022] [Indexed: 12/11/2022]
Abstract
FTO (fat mass and obesity associated) is a recently discovered gene related to obesity and expressed in various tissues of the human body, especially with high expression in the brain. Earlier studies have found that FTO is involved in several biological processes, including brain development and function. In particular, recent studies have found that FTO is a demethylase of N6-methyladenosine (m6A) and it can affect neurological function through the m6A modification of mRNA. At present, a number of studies have shown that FTO is associated with many neuropsychiatric disorders. This paper reviews the discovery, structure, function, and tissue expression of FTO followed by discussing the relationship between FTO and neuropsychiatric diseases. In addition, the potential roles of FTO gene in drug addiction, major depression (MDD), and schizophrenia (SCZ) through regulating m6A modification of dopamine related genes were also highlighted.
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Alqadri N. Independent case-control study in KCNJ11 gene polymorphism with Type 2 diabetes Mellitus. Saudi J Biol Sci 2022; 29:2794-2799. [PMID: 35531169 PMCID: PMC9073069 DOI: 10.1016/j.sjbs.2022.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/31/2021] [Accepted: 01/02/2022] [Indexed: 01/01/2023] Open
Abstract
Background Type 2 Diabetes Mellitus (T2DM) is the most common form of diabetes in the aging population. This chronic metabolic disorder has discovered many candidate genes, and KCNJ11 was one of the genes associated with insulin secretion pathways mediated by potassium channels. There have been limited studies on the rs5210 polymorphism in T2DM patients, and none of them have been conducted in Saudi Arabia. Aim The aim of this study is to investigate at genotyping levels of rs5210 polymorphism in the KCNJ11 gene in older population with T2DM in the Saudi Population. Methods Based on the sample size design, this case-control study included 102 T2DM cases and 102 controls. Using the PCR-RFLP assay, 204 patients extracted DNA was genotyped for the rs5210 polymorphism. SPSS software was used for statistical analysis, including t-tests, HWE, genotyping, and multiple logistic regression analysis. Results The t-tests performed on T2DM cases and controls revealed a significant association in age, weight, BMI, FBG, Hb1Ac, SBP, DBP, HDLC, TC, and TG parameters (p < 0.05). HWE analysis found to be in consistent with rs5210 polymorphism. Allelic association was found in the rs5210 polymorphism (OR-1.64 [95 %CI: 1.08-2.49]; p = 0.01); however, no association (p > 0.05) was observed in the multivariate logistic regression assessment performed in this study. Conclusion These results indicate that the rs5210 polymorphism was primarily associated with allele frequencies, which could be attributable to the small sample size. Large sample size studies will be required to determine whether KCNJ11 gene polymorphisms may be required as a risk marker for T2DM in the Saudi population.
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Affiliation(s)
- Nada Alqadri
- Department of Biology, Turabah University College, Taif University, PO Box-11099, Taif 21944, Saudi Arabia
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Li Y, Tao N, Chen M, Chu J, Huang X, Kong X. Gene Polymorphisms Associated with Central Precocious Puberty and Hormone Levels in Chinese Girls. Int J Endocrinol 2022; 2022:9450663. [PMID: 36046800 PMCID: PMC9420594 DOI: 10.1155/2022/9450663] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/04/2022] [Accepted: 07/28/2022] [Indexed: 11/23/2022] Open
Abstract
Central precocious puberty (CPP) is associated with adverse health outcomes in females; however, CPP pathogenesis remains unclear. In this study, we investigated the association of 20 single nucleotide polymorphisms (SNPs) in eight genes with CPP risk and hormone levels. A case-control study on 247 and 243 girls with and without CPP, respectively, was conducted at Kunming Children's Hospital, China, from September 2019 to August 2020. The genotype of the SNPs and their haplotypes were identified. Additionally, the effects of the polymorphisms on hormone levels were investigated. Three variants (rs10159082, rs7538038, and rs5780218) in KISS1 and two variants (rs7895833 and rs3758391) in SIRT1 were related to an increased CPP risk (odds ratio (OR) = 1.524, 1.507, 1.409, 1.348, and 1.737; 95% confidence interval (CI) = 1.176-1.974, 1.152-1.970, 1.089-1.824, 1.023-1.777, and 1.242-2.430, respectively). Rs3740051in SIRT1 and rs1544410 in VDR reduced CPP risk (OR = 0.689, 0.464; 95% CI, 0.511-0.928, 0.232-0.925, respectively). Rs1544410, rs7975232, and rs731236 in VDR were negatively correlated with peak follicle-stimulating hormone (FSH; β = -2.181; P=0.045), basal FSH (β = -0.391; P=0.010), and insulin-like growth factor (β = -50.360; P=0.041) levels, respectively. KISS1, SIRT1, and VDR variants were associated with CPP susceptibility, and VDR SNPs influenced hormonal levels in Chinese females with CPP. In particular, VDR polymorphism rs1544410 was associated with both CPP risk and GnRH-stimulated peak FSH levels. Further functional research and large-scale genetic studies of these loci and genes are required to confirm our findings.
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Affiliation(s)
- Yunwei Li
- Faculty of Life Science and Biotechnology, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
- Medical School, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
- Department of Pharmacy, Kunming Children's Hospital, Kunming 650228, Yunnan, China
| | - Na Tao
- Department of Endocrinology, Genetics and Metabolism of Children, Kunming Children's Hospital, Kunming 650228, Yunnan, China
| | - Minghui Chen
- Medical School, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Jiang Chu
- Medical School, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Xinwei Huang
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China
| | - Xiangyang Kong
- Medical School, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
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Naser FH, Fadheel HK, Hussain MK, Algenabi AHA, Mohammad HJ, Kaftan AN, Al-Kashwan TA. Association of CDKAL1 gene polymorphisms with type 2 diabetes mellitus in a sample of Iraqi population. GENE REPORTS 2021. [DOI: 10.1016/j.genrep.2021.101371] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Aguilera-Venegas IG, Mora-Peña JDS, Velazquez-Villafaña M, Gonzalez-Dominguez MI, Barbosa-Sabanero G, Gomez-Zapata HM, Lazo-de-la-Vega-Monroy ML. Association of diabetes-related variants in ADCY5 and CDKAL1 with neonatal insulin, C-peptide, and birth weight. Endocrine 2021; 74:318-331. [PMID: 34169461 DOI: 10.1007/s12020-021-02799-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 06/09/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND PURPOSE Neonates at the highest and lowest percentiles of birth weight present an increased risk of developing metabolic diseases in adult life. While environmental events in utero may play an important role in this association, some genetic variants are associated both with birth weight and type 2 diabetes mellitus (T2DM), suggesting a genetic link between intrauterine growth and metabolism in adult life. Variants rs11708067 in ADCY5 and rs7754840 in CDKAL1 are associated with low birth weight, risk of T2DM, and lower insulin secretion in adults. We aimed to investigate whether, besides birth weight, these polymorphisms were related to insulin secretion at birth. METHODS A cohort of 218 healthy term newborns from uncomplicated pregnancies were evaluated for anthropometric and biochemical variables. Cord blood insulin and C-peptide were analyzed by ELISA. Genotyping of rs11708067 in ADCY5 and rs7754840 in CDKAL1 was performed. RESULTS Newborns carrying the A allele of ADCY5 rs11708067 had lower cord blood insulin and C-peptide, even after adjusting by maternal glycemia, HbA1c, and pregestational BMI. Lower birth weight was found for AA-AG genotypes compared to GG, but no differences were seen in adjusted birth weight or z-score. Variant rs7754840 in CDKAL1 was not associated with birth weight, neonatal insulin, or C-peptide for any genotype or genetic model. CONCLUSIONS The variant rs11708067 in ADCY5 is associated with lower neonatal insulin and C-peptide concentrations. Our results suggest that the genetic influence on insulin secretion may be evident from birth, even in healthy newborns, independently of maternal glycemia and BMI.
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Affiliation(s)
| | | | | | - Martha-Isabel Gonzalez-Dominguez
- Universidad de la Cienega del Estado de Michoacan de Ocampo, Trayectoria de Ingenieria en Nanotecnologia, Sahuayo, Michoacan, Mexico
| | - Gloria Barbosa-Sabanero
- Medical Sciences Department, Health Sciences Division, University of Guanajuato, Guanajuato, Mexico
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Velazquez-Roman J, Angulo-Zamudio UA, León-Sicairos N, Medina-Serrano J, DeLira-Bustillos N, Villamil-Ramírez H, Canizales-Quinteros S, Macías-Kauffer L, Campos-Romero A, Alcántar-Fernández J, Canizalez-Roman A. Association of FTO, ABCA1, ADRB3, and PPARG variants with obesity, type 2 diabetes, and metabolic syndrome in a Northwest Mexican adult population. J Diabetes Complications 2021; 35:108025. [PMID: 34420811 DOI: 10.1016/j.jdiacomp.2021.108025] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 08/10/2021] [Accepted: 08/14/2021] [Indexed: 11/28/2022]
Abstract
AIM To identify associations among allelic variants of the genes FTO, ABCA1, ADRB3, and PPARG with anthropometric and biochemical traits, metabolic diseases (obesity, T2D or metabolic syndrome) in an adult population from Northwest Mexico. METHODS Blood samples were collected from 846 subjects including 266 normal weight subjects, 285 with obesity, and 295 with T2D. Of the 846 persons in the study, 365 presented metabolic syndrome diagnostic criteria. Anthropometric and biochemical traits were recorded and 4 single nucleotide polymorphisms (SNPs): FTO rs9939609 A-allele, ABCA1 rs9282541 A-allele, ADRB3 rs4994 G-allele, and PPARG rs1801282 G-allele were genotyped by real-time PCR. RESULTS FTO rs9939609 A-allele was significantly associated with obesity (p: 8.3 × 10-4), and metabolic syndrome (p: 0.001), but no individual SNPs were significantly associated with T2D. Finally, the cumulative risk of the four SNPs was significantly associated with obesity (p: 1.95 × 10-4). CONCLUSION Associations in FTO, ABCA, ADRB3, and PPARG SNPs presented in this study with obesity and metabolic syndrome could represent a risk for developing metabolic diseases in Northwest Mexican adult subjects.
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Affiliation(s)
- Jorge Velazquez-Roman
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico
| | - Uriel A Angulo-Zamudio
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico
| | - Nidia León-Sicairos
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico; Pediatric Hospital of Sinaloa, 80200 Culiacan, Sinaloa, Mexico
| | - Julio Medina-Serrano
- Programa de Maestría en Ciencias en Biomedicina Molecular, UAS, 80246 Culiacan, Sinaloa, Mexico; Coordinación de Planeación y Enlace Institucional, Órgano de Operación Administrativa Desconcentrada (OOAD) de Sinaloa, Instituto Mexicano del Seguro Social (IMSS), Culiacan Sinaloa, Mexico
| | - Nora DeLira-Bustillos
- Programa de Maestría en Ciencias en Biomedicina Molecular, UAS, 80246 Culiacan, Sinaloa, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | | | | | - Adrian Canizalez-Roman
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico; The Women's Hospital, Secretariat of Health, 80020 Culiacan, Sinaloa, Mexico.
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Ortega PEN, Meneses ME, Delgado-Enciso I, Irecta-Nájera CA, Castro-Quezada I, Solís-Hernández R, Flores-Guillén E, García-Miranda R, Valladares-Salgado A, Locia-Morales D, Ochoa-Díaz-López H. Association of rs9939609-FTO with metabolic syndrome components among women from Mayan communities of Chiapas, Mexico. J Physiol Anthropol 2021; 40:11. [PMID: 34454619 PMCID: PMC8403373 DOI: 10.1186/s40101-021-00259-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 08/01/2021] [Indexed: 11/12/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a complex cluster of risk factors, considered as a polygenic and multifactorial entity. The objective of this study was to determine the association of rs9939609-FTO polymorphism and MetS components in adult women of Mayan communities of Chiapas. Methods In a cross-sectional study, sociodemographic, anthropometric, clinical, and biochemical data were obtained from 291 adult women from three regions of Chiapas, Mexico. The prevalence of MetS and the allele and genotype frequencies of the rs9939609-FTO were estimated. Multivariate logistic regression models were used to assess the association of the single nucleotide polymorphism (SNP) with each of the MetS components. Results The MetS prevalence was 60%. We found a statistically significant association between rs9939609-FTO and hyperglycemia in the dominant model (OR 2.6; 95% CI 1.3–5.3; p = 0.007). Conclusions Women from Mayan communities of Chiapas presented a high prevalence of MetS and a relevant association of the FTO variant with hyperglycemia. This is the first study carried out in these Mayan indigenous communities from Chiapas.
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Affiliation(s)
- Pilar E Núñez Ortega
- Health Department, El Colegio de La Frontera Sur, San Cristóbal de Las Casas, Chiapas, Mexico
| | - María E Meneses
- National Council for Science and Technology, Postgraduate College Campus Puebla, Puebla, Mexico
| | - Iván Delgado-Enciso
- Facultad de Medicina, Universidad de Colima, Colima, Mexico.,Instituto Estatal de Cancer, Secretaria de Salud de Colima, Colima, Mexico
| | | | | | - Roberto Solís-Hernández
- Health Department, El Colegio de La Frontera Sur, San Cristóbal de Las Casas, Chiapas, Mexico
| | - Elena Flores-Guillén
- Faculty of Nutrition and Food Science, University of Science and Arts of Chiapas, Tuxtla Gutiérrez, Chiapas, Mexico
| | - Rosario García-Miranda
- Health Department, El Colegio de La Frontera Sur, San Cristóbal de Las Casas, Chiapas, Mexico.,School of Languages-Campus San Cristobal, Autonomous University of Chiapas, San Cristóbal de Las Casas, Chiapas, Mexico
| | - Adán Valladares-Salgado
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI. Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Daniel Locia-Morales
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI. Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Héctor Ochoa-Díaz-López
- Health Department, El Colegio de La Frontera Sur, San Cristóbal de Las Casas, Chiapas, Mexico.
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Malekizadeh A, Rahbaran M, Afshari M, Abbasi D, Aghaei Meybodi HR, Hasanzad M. Association of common genetic variants of KCNJ11 gene with the risk of type 2 diabetes mellitus. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2021; 40:530-541. [PMID: 33853507 DOI: 10.1080/15257770.2021.1905841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 03/06/2021] [Accepted: 03/16/2021] [Indexed: 10/21/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is a multifactorial polygenic disease. Potassium inwardly-rectifying channel, subfamily J, member 11 (KCNJ11) gene mutations can result in susceptibility of T2DM. The aim of this study is to investigate the relationship between risk of T2DM and its complications (retinopathy & renal) and polymorphisms rs5210 and rs5215 of the KCNJ11 gene in a group of Iranian population. In this case-control study, 111 Iranian patients with T2DM and 82 control subjects were genotyped for each polymorphism by polymerase chain reaction (PCR) and Sanger Sequencing methods. Frequencies of genotypes of rs5210 polymorphism among subjects with and without diabetes mellitus were 53.15% vs. 51.22% for GG and 37.84% vs. 42.68% for AG (p = 0.7), respectively. Corresponding frequencies for rs5215 polymorphism among diabetics and non-diabetics were 13.51% vs. 13.41% for CC and 50.45% vs. 37.80% for CT (p = 0.2). G allele carriers (rs5210 polymorphism) and C allele carriers (rs5215 polymorphism) had the same frequency among diabetics and non-diabetics (p = 0.9 for G allele and p = 0.2 for C allele). Our results suggested that none of the polymorphisms of KCNJ11, rs5210 (p = 0.7) and rs5215 (p = 0.2), were significantly associated with T2DM. Only, the relationship between CT genotype of rs5215 and retinopathy (p = 0.01) showed a borderline significant association.
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Affiliation(s)
- Azadeh Malekizadeh
- Medical Genomics Research Center, Islamic Azad Tehran Medical Sciences University, Tehran, Iran
| | - Marzieh Rahbaran
- Medical Genomics Research Center, Islamic Azad Tehran Medical Sciences University, Tehran, Iran
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Afshari
- Department of Community Medicine, Zabol University of Medical Sciences, Zabol, Iran
| | - Davood Abbasi
- Iranian Diabetes Society, Eslamshahr Branch, Eslamshahr, Iran
| | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mandana Hasanzad
- Medical Genomics Research Center, Islamic Azad Tehran Medical Sciences University, Tehran, Iran
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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12
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Alcalá-Rmz V, Galván-Tejada CE, García-Hernández A, Valladares-Salgado A, Cruz M, Galván-Tejada JI, Celaya-Padilla JM, Luna-Garcia H, Gamboa-Rosales H. Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms. Healthcare (Basel) 2021; 9:422. [PMID: 33917300 PMCID: PMC8067355 DOI: 10.3390/healthcare9040422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/02/2021] [Accepted: 03/08/2021] [Indexed: 11/16/2022] Open
Abstract
Diabetes incidence has been a problem, because according with the World Health Organization and the International Diabetes Federation, the number of people with this disease is increasing very fast all over the world. Diabetic treatment is important to prevent the development of several complications, also lipid profile monitoring is important. For that reason the aim of this work is the implementation of machine learning algorithms that are able to classify cases, that corresponds to patients diagnosed with diabetes that have diabetes treatment, and controls that refers to subjects who do not have diabetes treatment but some of them have diabetes, bases on lipids profile levels. Logistic regression, K-nearest neighbor, decision trees and random forest were implemented, all of them were evaluated with accuracy, sensitivity, specificity and AUC-ROC curve metrics. Artificial neural network obtain an acurracy of 0.685 and an AUC value of 0.750, logistic regression achieve an accuracy of 0.729 and an AUC value of 0.795, K-nearest neighbor gets an accuracy of 0.669 and an AUC value of 0.709, on the other hand, decision tree reached an accuracy pg 0.691 and a AUC value of 0.683, finally random forest achieve an accuracy of 0.704 and an AUC curve of 0.776. The performance of all models was statistically significant, but the best performance model for this problem corresponds to logistic regression.
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Affiliation(s)
- Vanessa Alcalá-Rmz
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
| | - Carlos E. Galván-Tejada
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
| | - Alejandra García-Hernández
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
| | - Adan Valladares-Salgado
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, Col. Doctores, Del. Cuauhtémoc, Mexico City 06720, Mexico; (A.V.-S.); (M.C.)
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, Col. Doctores, Del. Cuauhtémoc, Mexico City 06720, Mexico; (A.V.-S.); (M.C.)
| | - Jorge I. Galván-Tejada
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
| | - Jose M. Celaya-Padilla
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
| | - Huizilopoztli Luna-Garcia
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
| | - Hamurabi Gamboa-Rosales
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico; (V.A.-R.); (A.G.-H.); (J.I.G.-T.); (J.M.C.-P.); (H.L.-G.); (H.G.-R.)
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13
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Teng F, Qin R, Liu X, Geng H, Xu W, Wu T, Li Y, Lai P, Liang J. Interaction between the rs9356744 polymorphism and metabolic risk factors in relation to type 2 diabetes mellitus: The Cardiometabolic Risk in Chinese (CRC) Study. J Diabetes Complications 2021; 35:107855. [PMID: 33558148 DOI: 10.1016/j.jdiacomp.2021.107855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/25/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022]
Abstract
The understanding of the genetic basis of type 2 diabetes mellitus (T2DM) has progressed rapidly, but the interactions among common genetic variants and metabolic risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and metabolic environments on the risk of T2DM. Obesity is emerging as an independent risk factor for T2DM and arterial stiffness. Here, we examined the effect of the rs9356744 polymorphism in the body mass index (BMI) gene CDKAL1 on the risk of T2DM in East Asians and particularly assessed the interactions between this polymorphism and other metabolic risk factors. A total of 1975 subjects in whom the rs9356744 polymorphism had been detected in the CDKAL1 gene were enrolled in this study. The height, weight, blood pressure and relevant markers, including glucose, lipids, liver and renal function, of the participants were successfully measured. Pulse wave velocity (PWV) was measured using an automatic wave form analyzer. At baseline, we found a significant association between BMI and rs9356744 genotypes (CC, CT, TT) (P = 0.048). After adjusting for confounding factors, including sex, age and BMI, participants carrying the T allele of rs9356744 showed a lower incidence of T2DM. Further adjustment for blood pressure and lipids did not appreciably change the results (P = 0.019, 0.009, 0.015, respectively). We found significant interactions between the rs9356744 polymorphism and high-density lipoprotein (HDL), serum uric acid (SUA) and carotid-femoral pulse wave velocity (cf-PWV) in relation to T2DM incidence (P for interaction = 0.007, 0.002, 0.004, respectively), especially in the group with the lowest SUA level and the group with the highest HDL and cf-PWV levels (P for trend = 0.006, 0.008, 0.018, respectively). Furthermore, we found a significant interaction between the rs9356744 polymorphism and cf-PWV in relation to the level of 2-h plasma glucose in the oral glucose tolerance test (OGTT) (P for interaction = 0.0341). In summary, the T allele of rs9356744 was an independent protective factor for T2DM. There were significant interactions between rs9356744 and HDL, SUA, and cf-PWV in relation to T2DM risk.
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Affiliation(s)
- Fei Teng
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, The Affiliated XuZhou Hospital of Medical College of Southeast University, Jiangsu 221009, China; Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu 221000, China
| | - Ruihao Qin
- Department of Vascular and Thyroid Surgeon, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, The Affiliated XuZhou Hospital of Medical College of Southeast University, Jiangsu 221009, China
| | - Xuekui Liu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, The Affiliated XuZhou Hospital of Medical College of Southeast University, Jiangsu 221009, China
| | - Houfa Geng
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, The Affiliated XuZhou Hospital of Medical College of Southeast University, Jiangsu 221009, China
| | - Wei Xu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, The Affiliated XuZhou Hospital of Medical College of Southeast University, Jiangsu 221009, China
| | - Tingting Wu
- Xuzhou Medical University, Xuzhou, Jiangsu 221000, China
| | - Yinxia Li
- Bengbu Medical College, Bengbu, Anhui 233030, China
| | - Peng Lai
- Xuzhou Medical University, Xuzhou, Jiangsu 221000, China
| | - Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, The Affiliated XuZhou Hospital of Medical College of Southeast University, Jiangsu 221009, China; Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu 221000, China.
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14
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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. [DOI: 10.1007/s13410-020-00898-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
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15
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Xu N, Zhang TT, Han WJ, Yin LP, Ma NZ, Shi XY, Sun JJ. Association of CDKAL1 RS10946398 Gene Polymorphism with Susceptibility to Diabetes Mellitus Type 2: A Meta-Analysis. J Diabetes Res 2021; 2021:1254968. [PMID: 34977253 PMCID: PMC8719992 DOI: 10.1155/2021/1254968] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/12/2021] [Accepted: 11/13/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Diabetes is one of the common chronic diseases in which susceptibility is determined by a combination of genetic and environmental factors, and more than 90% of diabetic patients are diabetes mellitus type 2 (T2DM). The existing studies on the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes are inconsistent across populations. AIM We aim to explore the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes in different populations. METHODS We examined all studies before June 12, 2021, that associated CDKAL1 rs10946398 with T2DM. Heterogeneity was assessed by meta-analysis of allelic inheritance models (A vs. C), dominant inheritance models (AA vs. AC+CC), and recessive inheritance model (AA+AC vs. CC); I 2 was used to assess the heterogeneity (if I 2 < 50%, the fixed-effects model was used; if I 2 ≥ 50%, the random-effects model was used for data consolidation); correlation was judged by a forest map; potential publication bias was tested by the Egger test (p > 0.05 indicates that there is no publication bias). RESULTS Fourteen data totaling 30288 subjects, including 19272 controls and 11016 patients with T2DM, met our inclusion criteria. In the Asian population, the differences were statistically significant (p < 0.01) for dominant genetic model (OR = 0.75, 95%CI = 0.64-0.88, p = 0.0003). But the allelic effect model (OR = 0.87, 95%CI = 0.75-1.02, p = 0.08) and the recessive genetic model (OR = 0.85, 95%CI = 0.66-1.10, p = 0.23) were not statistically significant (p > 0.01). In the non-Asian population, the differences were statistically significant (p < 0.01) for the allelic effect model (OR = 0.83, 95%CI = 0.77-0.88, p < 0.00001), the dominant model (OR = 0.79, 95%CI = 0.72-0.87, p < 0.00001), and the recessive model (OR = 0.78, 95%CI = 0.70-0.87, p < 0.0001). CONCLUSION In this study, CDKAL1 RS10946398 was positively associated with T2DM, but the association was different in Asian populations.
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Affiliation(s)
- Ning Xu
- School of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China
| | - Ting-Ting Zhang
- School of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China
| | - Wen-Jia Han
- School of Dentistry, Anhui Medical University, Hefei, Anhui 230032, China
| | - Li-Ping Yin
- Medical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Nan-Zheng Ma
- Anhui Medical University, Affiliated Hospital, Nationalities, Hefei, Anhui 230032, China
| | - Xiu-Yan Shi
- Nanjing Prevention and Treatment Center for Occupational Diseases, Nanjing 23100, China
| | - Jiang-Jie Sun
- Health Management College, Anhui Medical University, Hefei, Anhui 230032, China
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16
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Liu X, Liang J, Geng H, Xu W, Teng F, Yang M. Association of the CDKAL1 polymorphism rs10946398 with type 2 diabetes mellitus in adults: A meta-analysis. Medicine (Baltimore) 2020; 99:e21383. [PMID: 32791750 PMCID: PMC7387030 DOI: 10.1097/md.0000000000021383] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Previous studies had reported that the CDKAL1 (cyclin-dependent kinase 5 (CDK5) regulatory subunit-associated protein 1-like 1) rs10946398 C/A polymorphism associated with type 2 diabetes mellitus (T2DM) in various ethnic groups, however, inconsistent results have been obtained in studies of different populations.We performed a meta-analysis of 13 studies for rs10946398 of CDKAL1 on genetic susceptibility for T2DM.The results showed that CDKAL1 rs10946398 C/A polymorphism associated with T2DM under allelic (odds risk (OR): 1.17, 95% CI: 1.07-1.28, P = .0007), homozygous (OR: 1.39, 95% CI: 1.15-1.69, P = .0008), and dominant models (OR: 1.26, 95% CI: 1.09-1.46, P = .001).We found that rs10946398 C/A polymorphism was associated with T2DM, and this association was significantly in population of western country (Europe and United States) and Asian populations.
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Affiliation(s)
- Xuekui Liu
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
| | - Jun Liang
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Houfa Geng
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Wei Xu
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Fei Teng
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Manqing Yang
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
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17
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Nagrani R, Foraita R, Gianfagna F, Iacoviello L, Marild S, Michels N, Molnár D, Moreno L, Russo P, Veidebaum T, Ahrens W, Marron M. Common genetic variation in obesity, lipid transfer genes and risk of Metabolic Syndrome: Results from IDEFICS/I.Family study and meta-analysis. Sci Rep 2020; 10:7189. [PMID: 32346024 PMCID: PMC7188794 DOI: 10.1038/s41598-020-64031-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 04/07/2020] [Indexed: 12/13/2022] Open
Abstract
As the prevalence of metabolic syndrome (MetS) in children and young adults is increasing, a better understanding of genetics that underlie MetS will provide critical insights into the origin of the disease. We examined associations of common genetic variants and repeated MetS score from early childhood to adolescence in a pan-European, prospective IDEFICS/I.Family cohort study with baseline survey and follow-up examinations after two and six years. We tested associations in 3067 children using a linear mixed model and confirmed the results with meta-analysis of identified SNPs. With a stringent Bonferroni adjustment for multiple comparisons we obtained significant associations(p < 1.4 × 10−4) for 5 SNPs, which were in high LD (r2 > 0.85) in the 16q12.2 non-coding intronic chromosomal region of FTO gene with strongest association observed for rs8050136 (effect size(β) = 0.31, pWald = 1.52 × 10−5). We also observed a strong association of rs708272 in CETP with increased HDL (p = 5.63 × 10−40) and decreased TRG (p = 9.60 × 10−5) levels. These findings along with meta-analysis advance etiologic understanding of childhood MetS, highlighting that genetic predisposition to MetS is largely driven by genes of obesity and lipid metabolism. Inclusion of the associated genetic variants in polygenic scores for MetS may prove to be fundamental for identifying children and subsequently adults of the high-risk group to allow earlier targeted interventions.
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Affiliation(s)
- Rajini Nagrani
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - Ronja Foraita
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Francesco Gianfagna
- Mediterranea Cardiocentro, Napoli, Italy.,EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Licia Iacoviello
- IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy
| | - Staffan Marild
- Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Nathalie Michels
- Department of Public Health and Primary Care, Ghent University, 9000, Ghent, Belgium
| | - Dénes Molnár
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Luis Moreno
- GENUD (Growth, Exercise, Nutrition, and Development) Research Group, University of Zaragoza, Zaragoza, Spain
| | - Paola Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | | | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.,Institute of Statistics, Faculty of Mathematics and Computer Science, Bremen University, Bremen, Germany
| | - Manuela Marron
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
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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] [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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Khan V, Verma AK, Bhatt D, Khan S, Hasan R, Goyal Y, Ramachandran S, Alsahli MA, Rahmani AH, Almatroudi A, Shareef MY, Meena B, Dev K. Association of Genetic Variants of KCNJ11 and KCNQ1 Genes with Risk of Type 2 Diabetes Mellitus (T2DM) in the Indian Population: A Case-Control Study. Int J Endocrinol 2020; 2020:5924756. [PMID: 33101408 PMCID: PMC7569458 DOI: 10.1155/2020/5924756] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/10/2020] [Accepted: 09/26/2020] [Indexed: 01/01/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a polygenic metabolic disease described by hyperglycemia, which is caused by insulin resistance or reduced insulin secretion. The interaction between various genetic variants and environmental factors triggers T2DM. The aim of this study was to find risk associated with genetic variants rs5210 and rs2237895 of KCNJ11 and KCNQ1 genes, respectively, in the development of T2DM in the Indian population. A total number of 300 cases of T2DM and 100 control samples were studied to find the polymorphism in KCNJ11 and KCNQ1 through PCR-RFLP. The genotype and allele frequencies in T2DM cases were significantly different compared to the control population. KCNJ11 rs5210 and KCNQ1 rs2237895 variants were found to be significantly associated with risk of T2DM in dominant (KCNJ11: OR, 2.07; 95% CI, 1.30-3.27; p - 0.001; KCNQ1: OR, 2.33; 95% CI, 1.46-3.70; p - 0.0003) and codominant models (KCNJ11: OR, 1.76; 95% CI, 1.09-2.84; p - 0.020; KCNQ1: OR, 1.85; 95% CI, 1.16-2.95; p - 0.009). We also compared clinicopathological characteristics between cases and control and observed a significant difference in all the parameters except HDL, gender, and family history. In this study, clinicopathological data with a carrier of a variant allele of both KCNJ11 and KCNQ1 genes were also analysed, and a significant association was found between the carrier of a variant allele with gender and PPG in KCNJ11 and with triglyceride in KCNQ1. We confirm the significant association of KCNJ11 (rs5210) and KCNQ1 (rs2237895) gene polymorphism with T2DM, indicating the role of these variants in developing risk for T2DM in Indian population.
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Affiliation(s)
- Vasiuddin Khan
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Amit Kumar Verma
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Deepti Bhatt
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Shahbaz Khan
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Rameez Hasan
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | - Yamini Goyal
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
| | | | - Mohammed A. Alsahli
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraidah, Saudi Arabia
| | - Arshad Husain Rahmani
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraidah, Saudi Arabia
| | - Ahmad Almatroudi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraidah, Saudi Arabia
| | - M. Y. Shareef
- Faculty of Dentistry, Jamia Millia Islamia, New Delhi, India
| | - Babita Meena
- Faculty of Dentistry, Jamia Millia Islamia, New Delhi, India
| | - Kapil Dev
- Department of Biotechnology, Jamia Millia Islamia, New Delhi, India
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Genetic Variants of Potassium Voltage-gated Channel Subfamily J Member 11 in Gestational Diabetes Mellitus: A Case-control Study. MATERNAL-FETAL MEDICINE 2019. [DOI: 10.1097/fm9.0000000000000030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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21
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Ramírez Á, Hernández M, Suárez-Sánchez R, Ortega C, Peralta J, Gómez J, Valladares A, Cruz M, Vázquez-Moreno MA, Suárez-Sánchez F. Type 2 diabetes-associated polymorphisms correlate with SIRT1 and TGF-β1 gene expression. Ann Hum Genet 2019; 84:185-194. [PMID: 31799723 DOI: 10.1111/ahg.12363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 08/08/2019] [Accepted: 10/10/2019] [Indexed: 12/27/2022]
Abstract
The polymorphisms rs3758391 and rs1800470 located in SIRT1 and TGF-β1 have been associated with type 2 diabetes in different populations but its functional effect is not clear. In this study, we evaluated their effect on the expression of SIRT1 and TGF-β1 in peripheral blood as well as their participation in the formation of DNA-protein complexes in a pancreas-derived cell line. It has been described that SIRT1 and TGF-β1 participate in cell growth and regulation of production and secretion of insulin in the pancreas. Anthropometric and biochemical profiles of 127 adults were measured. Genotypes for rs3758391 and rs1800470 were determined using TaqMan assays. Expression analysis of SIRT1 and TGF-β1 were performed using real-time PCR. Gene expression of these genes increased 1.8 ± 0.6- and 1.3 ± 0.6-fold in patients carrying the TT genotype of rs3758391 and rs1800470 when compared to carriers of the CC genotype. Then, we tested whether these single-nucleotide polymorphisms (SNPs) (and rs932658, which is in linkage disequilibrium with rs3758391) are located in regulatory DNA-protein binding sites by electrophoretic mobility shift assays using nuclear extract from the pancreas-derived cell line BxPC-3. The electrophoretic mobility shift assay showed no binding of nuclear proteins to DNA. In conclusion, the genotypes of rs3758391 and rs1800470 are associated with modifications in the expression of the genes SIRT1 and TGF-β1, respectively, but none of the tested SNPs are located in regulatory DNA-protein binding sites.
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Affiliation(s)
- Ángeles Ramírez
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | - Miriam Hernández
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | - Rocío Suárez-Sánchez
- Laboratorio de Medicina Genómica, Departamento de Genética, Instituto Nacional de Rehabilitación LGII, Ciudad de México
| | - Clara Ortega
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | - Jesús Peralta
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | - Jaime Gómez
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | - Adán Valladares
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
| | | | - Fernando Suárez-Sánchez
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Ciudad de México, México
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Tian Y, Xu J, Huang T, Cui J, Zhang W, Song W, Chen H, Huang P, Yang S, Wang L, He X, Wang L, Cui W. A Novel Polymorphism (rs35612982) in CDKAL1 Is a Risk Factor of Type 2 Diabetes: A Case-Control Study. Kidney Blood Press Res 2019; 44:1313-1326. [PMID: 31639799 DOI: 10.1159/000503175] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 09/05/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The interaction of environmental factors and genetic factors may contribute to the risk of type 2 diabetes (T2D). We aimed to investigate whether age, gender, body mass index (BMI) and lifestyle factors have an effect on the association between the CDKAL1 polymorphisms and T2D. METHODS Eight single nucleotide polymorphisms in CDKAL1 were genotyped by Agena MassARRAY in 508 T2D patients and 503 controls. The association between the CDKAL1 polymorphisms and T2D was evaluated using logistic regression model by calculating OR and 95% CIs. RESULTS We found a significant association between CDKAL1 polymorphisms (rs4712523, OR 1.42, p = 9.44 × 10-5; rs4712524, OR 1.38, p = 3.28 × 10-4; rs10946398, OR 1.43, p = 6.21 × 10-5; rs7754840, OR 1.43, p = 6.33 × 10-5; rs35612982, OR 1.34, p = 0.0010; and rs10440833, OR 1.32, p = 0.0018) and T2D risk among the Han population from Northwest China. We also found that genetic variants of CDKAL1 could modify the risk of T2D that might be influenced by age, BMI and the status of smoking and drinking. Besides, rs35612982-CT (p = 0.038) and rs10440833-AT (p = 0.044) genotypes were higher insulin level. CONCLUSION CDKAL1 rs35612982 (C/T) polymorphism, as a new polymorphism, was associated with the increased risk of T2D in the Han Chinese population. Moreover, the contribution of CDKAL1 polymorphisms to T2D risk seems to be associated with age, gender, BMI, smoking and drinking.
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Affiliation(s)
- Yanni Tian
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Xu
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ting Huang
- Department of Nursing, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jiaqi Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Zhang
- Department of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University Xi'an, Xi'an, China
| | - Wei Song
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huan Chen
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Pan Huang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shujun Yang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lu Wang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xin He
- Department of Endocrinology, Xi'an Aerospace General Hospital, Xi'an, China
| | - Lin Wang
- Department of Endocrinology, Xi'an Gaoxin Hospital, Xi'an, China
| | - Wei Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China,
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Tavakoli Faradonbeh R, Zakerkish M, Karimi Akhormeh A, Mohammadtaghvaei N, Jalali MT, Yaghooti H. Association of the rs3758391 polymorphism in the SIRT1 gene with diabetic nephropathy and decreased estimated glomerular filtration rate (GFR) in a population from southwest Iran. Int J Diabetes Dev Ctries 2019. [DOI: 10.1007/s13410-019-00742-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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24
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Geoghegan G, Simcox J, Seldin MM, Parnell TJ, Stubben C, Just S, Begaye L, Lusis AJ, Villanueva CJ. Targeted deletion of Tcf7l2 in adipocytes promotes adipocyte hypertrophy and impaired glucose metabolism. Mol Metab 2019; 24:44-63. [PMID: 30948248 PMCID: PMC6531814 DOI: 10.1016/j.molmet.2019.03.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 03/02/2019] [Accepted: 03/09/2019] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Activation of the Wnt-signaling pathway is known to inhibit differentiation in adipocytes. However, there is a gap in our understanding of the transcriptional network regulated by components of the Wnt-signaling pathway during adipogenesis and in adipocytes during postnatal life. The key intracellular effectors of the Wnt-signaling pathway occur through TCF transcription factors such as TCF7L2 (transcription factor-7-like 2). Several genetic variants in proximity to TCF7L2 have been linked to type 2 diabetes through genome-wide association studies in various human populations. Our work aims to functionally characterize the adipocyte specific gene program regulated by TCF7L2 and understand how this program regulates metabolism. METHODS We generated Tcf7l2F/F mice and assessed TCF7L2 function in isolated adipocytes and adipose specific knockout mice. ChIP-sequencing and RNA-sequencing was performed on the isolated adipocytes with control and TCF7L2 knockout cells. Adipose specific TCF7L2 knockout mice were challenged with high fat diet and assessed for body weight, glucose tolerance, and lipolysis. RESULTS Here we report that TCF7L2 regulates adipocyte size, endocrine function, and glucose metabolism. Tcf7l2 is highly expressed in white adipose tissue, and its expression is suppressed in genetic and diet-induced models of obesity. Genome-wide distribution of TCF7L2 binding and gene expression analysis in adipocytes suggests that TCF7L2 directly regulates genes implicated in cellular metabolism and cell cycle control. When challenged with a high-fat diet, conditional deletion of TCF7L2 in adipocytes led to impaired glucose tolerance, impaired insulin sensitivity, promoted weight gain, and increased adipose tissue mass. This was accompanied by reduced expression of triglyceride hydrolase, reduced fasting-induced free fatty acid release, and adipocyte hypertrophy in subcutaneous adipose tissue. CONCLUSIONS Together our studies support that TCF7L2 is a central transcriptional regulator of the adipocyte metabolic program by directly regulating the expression of genes involved in lipid and glucose metabolism.
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Affiliation(s)
- Gisela Geoghegan
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Judith Simcox
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Marcus M Seldin
- Department of Human Genetics/Medicine, University of California, Los Angeles, CA, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Timothy J Parnell
- Bioinformatics Shared Resources, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Chris Stubben
- Bioinformatics Shared Resources, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Steven Just
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Lori Begaye
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Aldons J Lusis
- Department of Human Genetics/Medicine, University of California, Los Angeles, CA, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Claudio J Villanueva
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
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25
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Alcalá-Rmz V, Zanella-Calzada LA, Galván-Tejada CE, García-Hernández A, Cruz M, Valladares-Salgado A, Galván-Tejada JI, Gamboa-Rosales H. Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E381. [PMID: 30700010 PMCID: PMC6388177 DOI: 10.3390/ijerph16030381] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 01/20/2019] [Accepted: 01/21/2019] [Indexed: 01/16/2023]
Abstract
Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health conditions that involve low organ yield until the patient death. Based on this problem, this work proposes the architecture of an Artificial Neural Network (ANN) for the automated classification of healthy patients from diabetics patients. The analysis was performed used a set of 19 para-clinical features to determine the health status of the patients. The developed model was evaluated through a statistical analysis based on the calculation of the loss function, accuracy, area under the curve (AUC) and receiving operating characteristics (ROC) curve. The results obtained present statistically significant values, with accuracy of 0.94 and AUC values of 0.98. Based on these results, it is possible to conclude that the ANN implemented in this work can classify patients with presence of diabetes from controls with significant accuracy, presenting preliminary results for the development of a diagnostic tool that can be supportive for health specialists.
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Affiliation(s)
- Vanessa Alcalá-Rmz
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juarez 147, Centro, Zacatecas 98000, Zac, Mexico.
| | - Laura A Zanella-Calzada
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juarez 147, Centro, Zacatecas 98000, Zac, Mexico.
| | - Carlos E Galván-Tejada
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juarez 147, Centro, Zacatecas 98000, Zac, Mexico.
| | - Alejandra García-Hernández
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juarez 147, Centro, Zacatecas 98000, Zac, Mexico.
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, Col. Doctores, Del. Cuauhtémoc, Ciudad de México CP 06720, Mexico.
| | - Adan Valladares-Salgado
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, Col. Doctores, Del. Cuauhtémoc, Ciudad de México CP 06720, Mexico.
| | - Jorge I Galván-Tejada
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juarez 147, Centro, Zacatecas 98000, Zac, Mexico.
| | - Hamurabi Gamboa-Rosales
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juarez 147, Centro, Zacatecas 98000, Zac, Mexico.
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Zafar U, Khaliq S, Ali Z, Lone K. Adrenergic receptor beta-3 rs4994 (T>C) and liver X receptor alpha rs12221497 (G>A) polymorphism in Pakistanis with metabolic syndrome. CHINESE J PHYSIOL 2019; 62:196-202. [DOI: 10.4103/cjp.cjp_45_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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27
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Nagamine Y, Kondo N, Yokobayashi K, Ota A, Miyaguni Y, Sasaki Y, Tani Y, Kondo K. Socioeconomic Disparity in the Prevalence of Objectively Evaluated Diabetes Among Older Japanese Adults: JAGES Cross-Sectional Data in 2010. J Epidemiol 2018; 29:295-301. [PMID: 30449769 PMCID: PMC6614078 DOI: 10.2188/jea.je20170206] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background Studies on sex-specific socioeconomic gradients in objectively evaluated diabetes among older adults are scarce. Methods We used cross-sectional data of 9,893 adults aged 65 years and older in Aichi Prefecture without long-term care insurance from the Japan Gerontological Evaluation Study (JAGES) in 2010 (Response rate: 66.3%). We collected demographic, socioeconomic (income, years of education, and longest occupation) and behavioral information using a mail-in self-reported survey. Blood samples for the objectively evaluated diabetes and self-reported medical history were collected at annual municipal health checkups. Poisson regression analysis stratified by sex with multiple imputations was conducted to calculate prevalence ratio and 95% confidence interval. Results A clear income gradient in diabetes prevalence was observed among women, from 11.7% in the lowest income quartile (Q1) to 7.8% in the highest (Q4). Among men, the findings were 17.6% in Q1 to 15.1% in Q4. The prevalence ratios for diabetes with incomes Q1 to Q4 were 1.43 (95% confidence interval [CI], 1.07–1.90) for women and 1.16 (95% CI, 0.90–1.50) for men after adjusting for age and other socioeconomic factors. Even after adjusting for marital status, body mass index, other metabolic risk factors, and lifestyle factors, the income-based gradient remained among women. Education and occupation were not significantly associated with diabetes in the study population. Conclusions Only women showed an income-based gradient in diabetes. Monitoring income gradient in diabetes is important in public health actions, even in older populations. Future longitudinal and intervention studies should evaluate the causal link of income to diabetes onset, determine the mechanisms of the potential sex differences in the income/diabetes association, and identify ways to mitigate the income-based inequality.
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Affiliation(s)
- Yuiko Nagamine
- Department of Public Health, Graduate School of Medicine, Chiba University
| | - Naoki Kondo
- Department of Health Education and Health Sociology, School of Public Health, the University of Tokyo
| | | | - Asami Ota
- Division of Health and Nutrition, University of Niigata Prefecture
| | - Yasuhiro Miyaguni
- Department of Gerontological Evaluation, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology
| | - Yuri Sasaki
- Department of International Health and Collaboration, National Institute of Public Health
| | - Yukako Tani
- Department of Global Health Promotion, Tokyo Medical and Dental University (TMDU).,Research Fellow of Japan Society for the Promotion of Science
| | - Katsunori Kondo
- Department of Public Health, Graduate School of Medicine, Chiba University.,Department of Gerontological Evaluation, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology.,Center for Well-being and Society, Nihon Fukushi University
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Wang X, Gao H, Wu W, Xie E, Yu Y, He X, Li J, Zheng W, Wang X, Cao X, Meng Z, Chen L, Min J, Wang F. The zinc transporter Slc39a5 controls glucose sensing and insulin secretion in pancreatic β-cells via Sirt1- and Pgc-1α-mediated regulation of Glut2. Protein Cell 2018; 10:436-449. [PMID: 30324491 PMCID: PMC6538592 DOI: 10.1007/s13238-018-0580-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 09/10/2018] [Indexed: 12/17/2022] Open
Abstract
Zinc levels are high in pancreatic β-cells, and zinc is involved in the synthesis, processing and secretion of insulin in these cells. However, precisely how cellular zinc homeostasis is regulated in pancreatic β-cells is poorly understood. By screening the expression of 14 Slc39a metal importer family member genes, we found that the zinc transporter Slc39a5 is significantly down-regulated in pancreatic β-cells in diabetic db/db mice, obese ob/ob mice and high-fat diet-fed mice. Moreover, β-cell-specific Slc39a5 knockout mice have impaired insulin secretion. In addition, Slc39a5-deficient pancreatic islets have reduced glucose tolerance accompanied by reduced expression of Pgc-1α and its downstream target gene Glut2. The down-regulation of Glut2 in Slc39a5-deficient islets was rescued using agonists of Sirt1, Pgc-1α and Ppar-γ. At the mechanistic level, we found that Slc39a5-mediated zinc influx induces Glut2 expression via Sirt1-mediated Pgc-1α activation. These findings suggest that Slc39a5 may serve as a possible therapeutic target for diabetes-related conditions.
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Affiliation(s)
- Xinhui Wang
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Hong Gao
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Wenhui Wu
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Enjun Xie
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Yingying Yu
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xuyan He
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Jin Li
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Wanru Zheng
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xudong Wang
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xizhi Cao
- School of Pharmaceutical Sciences, State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Zhuoxian Meng
- Department of Pathology and Pathophysiology, Key Laboratory of Disease Proteomics of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Ligong Chen
- School of Pharmaceutical Sciences, State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
| | - Junxia Min
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
| | - Fudi Wang
- School of Public Health, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
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Costa-Urrutia P, Abud C, Franco-Trecu V, Colistro V, Rodríguez-Arellano ME, Granados J, Seelaender M. Genetic susceptibility to pre diabetes mellitus and related association with obesity and physical fitness components in Mexican-Mestizos. Prim Care Diabetes 2018; 12:416-424. [PMID: 30041843 DOI: 10.1016/j.pcd.2018.07.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 05/19/2018] [Accepted: 07/01/2018] [Indexed: 12/16/2022]
Abstract
Pre diabetes mellitus (pre-DM) is considered an early-reversible condition that can progress to Type 2 diabetes mellitus (T2DM) which is the main cause of death for adult Mexican population. Gene variants influencing fasting glucose levels may constitute helpful tool for prevention purposes in pre-DM condition. Physically active Mexican-Mestizo adults (n=565) were genotyped for 6 single nucleotide polymorphisms (SNPs) (ADIPOQ rs2241766, ACSL1 rs9997745, LIPC rs1800588, PPARA rs1800206, PPARG rs1801282 and PPARGC1A rs8192678) related to lipid and carbohydrate metabolism. Fasting glucose was measured and values classified as pre-DM (≥100mg/dL) or normal fasting glucose. Logistic models were used to test associations between pre-DM condition and SNPs, and interaction with Body Mass Index (BMI) and physical fitness components. The A allele of ASCL1 rs9997745 conferred increased risk (OR=3.39, p=0.001) of pre-DM which is modulated by BMI. The A allele of the PPARGC1A rs8192678 showed significant SNP*BMI (OR=1.10, p=0.008) interaction effect for pre-DM risk, meaning that obese subjects showed higher pre-DM risk but normal weight subjects showed lower risk. The effect increased with age and was attenuated by higher cardiorespiratory values. We found that both ACSL1 rs9997745 and PPARGC1A rs8192678 are associated with pre-DM, and that BMI significantly modified their association.
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Affiliation(s)
- Paula Costa-Urrutia
- Department of Cell and Developmental Biology Institute of Biomedical Sciences, Faculty of Medicine, University of São Paulo, Av. Prof. Lineu Prestes, 2415, São Paulo, Brazil; Sport City, SA de CV, Grupo Marti, Blvd Adolfo López Mateos 1181, San Pedro de los Pinos, ZC: 01180 Álvaro Obregón, Mexico City, Mexico.
| | - Carolina Abud
- Sport City, SA de CV, Grupo Marti, Blvd Adolfo López Mateos 1181, San Pedro de los Pinos, ZC: 01180 Álvaro Obregón, Mexico City, Mexico
| | - Valentina Franco-Trecu
- Departamento de Ecología y Evolución, Facultad de Ciencias, Universidad de la República, Iguá 4225, ZC: 11400 Montevideo, Uruguay
| | - Valentina Colistro
- Departamento de Genética, Facultad de Medicina, Universidad de la República, Av. Gral. Flores 2125, ZC: 11800 Montevideo, Uruguay
| | - Martha Eunice Rodríguez-Arellano
- Laboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Av. Universidad 1321, Florida, ZC: 01030 Álvaro Obregón, Mexico City, Mexico
| | - Julio Granados
- División de Inmunogenética, Departamento de Trasplantes, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, ZC: 14080, Mexico City, Mexico
| | - Marilia Seelaender
- Department of Cell and Developmental Biology Institute of Biomedical Sciences, Faculty of Medicine, University of São Paulo, Av. Prof. Lineu Prestes, 2415, São Paulo, Brazil
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Genome-wide implicated risk variants of TCF7L2 gene contribute to type 2 diabetes susceptibility by modulating serum lipids in Pakistani population. Int J Diabetes Dev Ctries 2018. [DOI: 10.1007/s13410-018-0694-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
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Katsoulis K, Paschou SA, Hatzi E, Tigas S, Georgiou I, Tsatsoulis A. TCF7L2 gene variants predispose to the development of type 2 diabetes mellitus among individuals with metabolic syndrome. Hormones (Athens) 2018; 17:359-365. [PMID: 29971604 DOI: 10.1007/s42000-018-0047-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 06/19/2018] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Transcription factor 7-like 2 (TCF7L2) gene variants rs12255372 and rs7903146 have been consistently shown to raise genetic risk for type 2 diabetes mellitus (T2DM). The aim of this study was to investigate the possible role of these variants in the development of impaired glucose metabolism (IGM), including impaired fasting glucose (IFG) or T2DM, in patients with metabolic syndrome (MS). PATIENTS AND METHODS The study population consisted of 228 patients with MS who were divided into two groups. The first group consisted of 148 patients with MS and IGM [39M/109F, 59.8 ± 14.6 (mean ± SD) years] and the second group of 80 patients with MS and normoglycemia (NGM) (16M/64F, 56.1 ± 15.8 years). The diagnosis of MS was based on the criteria proposed by the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) Scientific Statement. Anthropometric parameters including BMI and waist circumference were recorded and blood samples were obtained after overnight fasting for biochemical tests. The rs12255372 and rs7903146 TCF7L2 polymorphisms were genotyped in peripheral blood leucocytes. RESULTS Analysis of the distribution of the TCF7L2 polymorphic alleles revealed that the frequency of the T allele of the TCF7L2 variant rs12255372 was 38.2% in the study population, while the frequency of the T allele of the TCF7L2 rs7903146 variant was 35.3%. The T allele of the rs12255372 variant was more frequently present in patients with MS and IGM (48.3%) compared to patients with MS and NGM (19.4%, p < 0.001). Also, the T allele of rs7903146 was more frequently present in patients with MS and IGM (44.6%) compared to patients with MS and NGM (18.1%, p < 0.001). Logistic regression analysis followed and revealed that the presence of the T allele for both rs12255372 and rs7903146 TCF7L2 gene variants is a very powerful predictor of the presence of glucose disorders, increasing the risk more than fourfold in patients with MS and after adjustment for potential confounders, such as age, gender, BMI, and waist circumference (TCF7L2 rs12255372: Exp(B) 4.917, p < 0.001 and TCF7L2 rs7903146: Exp(B) 5.460, p < 0.001). CONCLUSION The presence of the rs12255372 and rs7903146 TCF7L2 gene variants plays an important role in the development of T2DM among individuals with MS. These findings support the notion that among subjects with MS, those who finally develop T2DM have a genetic predisposition to β-cell dysfunction.
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Affiliation(s)
- Konstantinos Katsoulis
- Department of Endocrinology and Diabetes, Medical School, University of Ioannina, 45110, Ioannina, Greece
| | - Stavroula A Paschou
- Department of Endocrinology and Diabetes, Medical School, University of Ioannina, 45110, Ioannina, Greece
- Division of Endocrinology and Diabetes, "Aghia Sophia" Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Elissavet Hatzi
- Laboratory of Human Reproductive Genetics, University of Ioannina, Ioannina, Greece
| | - Stelios Tigas
- Department of Endocrinology and Diabetes, Medical School, University of Ioannina, 45110, Ioannina, Greece
| | - Ioannis Georgiou
- Laboratory of Human Reproductive Genetics, University of Ioannina, Ioannina, Greece
| | - Agathocles Tsatsoulis
- Department of Endocrinology and Diabetes, Medical School, University of Ioannina, 45110, Ioannina, Greece.
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Peng Y, Zhang G, Tang H, Dong L, Gao C, Yang X, Peng Y, Xu Y. Influence of SIRT1 polymorphisms for diabetic foot susceptibility and severity. Medicine (Baltimore) 2018; 97:e11455. [PMID: 29995800 PMCID: PMC6076161 DOI: 10.1097/md.0000000000011455] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The present study aimed to explore the influence of sirtuin 1 (SIRT1) polymorphisms (rs12778366 and rs3758391) on diabetic foot (DF) susceptibility and severity in patients with type 2 diabetes mellitus (T2DM).This case-control study recruited 142 patients with DF, 148 patients with T2DM, and 148 healthy controls. SIRT1 gene polymorphisms were sequenced by polymerase chain reaction (PCR) and direct sequencing method. The relative expression of SIRT1 mRNA was estimated using quantitative real-time PCR (qRT-PCR) assay. Odds ratio (OR) with 95% confidence interval (95% CI) were used to represent the association of SIRT1 polymorphisms with DF susceptibility and severity. The results were adjusted using logistic regression analysis.C allele of rs12778366 polymorphism was significantly correlated with reduced DF susceptibility which deriving from healthy controls (adjusted OR = 0.364, 95% CI = 0.158-0.835) so was patients with T2DM (P = .047, OR = 0.591, 95%CI = 0.349-0.998), but the results became nonsignificant adjusted by clinical features (adjusted OR = 0.654, 95% CI = 0.391-1.094). We failed to find any significant association between rs3758391 polymorphisms and T2DM, DF susceptibility. No significant association has been discovered between SIRT1 polymorphisms and DF severity or characteristics. In addition, compared to healthy control and T2DM cases, patients with DF exhibited significant downregulation of SIRT1. The 2 studied polymorphisms had no effects on its gene expression (P > .05 for all).SIRT1 rs12778366 polymorphism C allele might act as a protective factor for DF onset.
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Daghestani M, Daghestani M, Daghistani M, Eldali A, Hassan ZK, Elamin MH, Warsy A. ADRB3 polymorphism rs4994 (Trp64Arg) associates significantly with bodyweight elevation and dyslipidaemias in Saudis but not rs1801253 (Arg389Gly) polymorphism in ARDB1. Lipids Health Dis 2018; 17:58. [PMID: 29587766 PMCID: PMC5870215 DOI: 10.1186/s12944-018-0679-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 02/19/2018] [Indexed: 11/25/2022] Open
Abstract
Background In some populations, obesity and body weight related disorders show a correlation with polymorphisms in three subtypes of beta-adrenoceptor (β1, β2, and β3) [ADRB1, ADRB2 and ADRB3] genes. We scanned for the polymorphism of Arg389Gly (rs1801253) in ADRB1 and Trp64Arg (rs4994) in ADRB3 genes in Saudi population to determine association, if any, of these polymorphisms with obesity and related disorders. Methods We studied 329 non-related adults (33.1% men and 66.9% women), aged 18–36 years. Anthropometric measurements were recorded, and Body mass index (BMI) and waist/hip ratio were calculated; leptin, insulin, lipidogram, and glucose concentrations were determined. ADRB1 and ADRB3 polymorphisms (Arg389Gly and Trp64Arg, respectively) were screened by DNA sequencing. The subjects were divided into three groups according to BMI: normal weight (BMI < 25 kg/m2), overweight (BMI ≥25.1–29.9 kg/m2) subjects, and obese (≥30 kg/m2). Results In the age-matched groups of the normal weight, overweight and obese male and female subjects, all anthropometric parameters were found to be significantly higher, and in the obese group, all biochemical parameters were significantly elevated compared to the normal weight controls. The allelic frequency of Gly389 ADRB1 did not differ amongst the three groups, whereas the frequency of Arg64 of ADRB3 gene was significantly higher in the overweight and obese subjects, compared with the normal weight subjects. In addition, subjects carrying Arg64 allele regardless of their BMI had a greater waist and hip circumference, W/H ratio, plasma cholesterol, triglyceride, LDL, leptin, insulin, and glucose level compared to those with the wild-type Trp allele. Conclusion The results of this study have shown a significant association between the Trp64Arg polymorphism in ADRB3 gene and the development of overweight and obesity in Saudi populations. It also has an influence on the levels of lipid, insulin, leptin, and glucose, whereas, Arg389Gly polymorphism in ADRB1 is not associated with overweight, obesity or dyslipidaemias in Saudis.
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Affiliation(s)
- Maha Daghestani
- Department of Zoology, Center for Scientific and Medical Female Colleges, King Saud University, P.O. Box 22455, Riyadh, 11495, Saudi Arabia
| | - Mazin Daghestani
- Department of Obstetrics and Gynecology, Umm-Al-Qura University, P.O.Box 424, Makkah, 21955, Saudi Arabia
| | - Mamoon Daghistani
- Department of Surgery, King Abdulaziz Medical City, National Guard Health Affairs, P.O.Box, Jeddah, 9515, Saudi Arabia
| | - Abdelmoneim Eldali
- Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, P.O. Box3354, Riyadh, 11211, Saudi Arabia
| | - Zeinab K Hassan
- Virology and Immunology Unit, Cancer Biology Department, National Cancer Institute Cairo University, Cairo, Egypt
| | - Maha H Elamin
- Department of Zoology, Faculty of Sciences, King Saud University, P.O. Box 22452, Riyadh, 11495, Saudi Arabia
| | - Arjumand Warsy
- Senior Scientist, Central Laboratory, Center for Scientific and Medical Female Colleges, King Saud University, P.O. Box 22455, Riyadh, 11495, Saudi Arabia.
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A meta-analysis of associations of LEPR Q223R and K109R polymorphisms with Type 2 diabetes risk. PLoS One 2018; 13:e0189366. [PMID: 29293570 PMCID: PMC5749718 DOI: 10.1371/journal.pone.0189366] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 11/26/2017] [Indexed: 12/17/2022] Open
Abstract
Background Leptin receptor (LEPR) plays a pivotal role in the control of body weight, energy metabolism, and insulin sensitivity. Various genetic association studies were performed to evaluate associations of LEPR genetic variants with type 2 diabetes (T2D) susceptibility. Methods A comprehensive search was conducted to identify all eligible case-control studies for examining the associations of LEPR single nucleotide polymorphisms (SNPs) Q223R (rs1137101) and K109R (rs1137100) with T2D risk. Odds ratios (OR) and corresponding 95% confidence intervals (CIs) were used to measure the magnitudes of association. Results For Q223R, 13 studies (11 articles) consisting of a total of 4030 cases and 2844 controls, and for K109R 7 studies (7 articles) consisting of 3319 cases and 2465 controls were available. Under an allele model, Q223R was not significantly associated with T2D risk (OR = 1.09, 95% CI: 0.80–1.48, P-value = 0.5989), which was consistent with results obtained under four genotypic models (ranges: ORs 1.08–1.20, 95% CIs: 0.58–2.02 to 0.64–2.26; P-values, 0.3650–0.8177, which all exceeded multiplicity-adjusted α = 0.05/5 = 0.01). In addition, no significant association was found between K109R and T2D risk based on either an allele model (OR = 0.93, 95% CI: 0.85–1.03, P-value = 0.1868) or four genotypic models (ranges: ORs 0.81–0.99, 95% CIs: 0.67–0.86 to 0.97–1.26, P-values, 0.0207–0.8804 which all exceeded multiplicity-adjusted α of 0.01). The magnitudes of association for these two SNPs were not dramatically changed in subgroup analyses by ethnicity or sensitivity analyses. Funnel plot inspections as well as Begg and Mazumdar adjusted rank correlation test and Egger linear regression test did not reveal significant publication biases in main and subgroup analyses. Bioinformatics analysis predicted that both missense SNPs were functionally neutral and benign. Conclusions The present meta-analysis did not detect significant genetic associations between LEPR Q223R and K109R polymorphisms and T2D risk.
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Zaharan NL, Muhamad NH, Jalaludin MY, Su TT, Mohamed Z, Mohamed MNA, A. Majid H. Non-Synonymous Single-Nucleotide Polymorphisms and Physical Activity Interactions on Adiposity Parameters in Malaysian Adolescents. Front Endocrinol (Lausanne) 2018; 9:209. [PMID: 29755414 PMCID: PMC5934415 DOI: 10.3389/fendo.2018.00209] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 04/13/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Several non-synonymous single-nucleotide polymorphisms (nsSNPs) have been shown to be associated with obesity. Little is known about their associations and interactions with physical activity (PA) in relation to adiposity parameters among adolescents in Malaysia. METHODS We examined whether (a) PA and (b) selected nsSNPs are associated with adiposity parameters and whether PA interacts with these nsSNPs on these outcomes in adolescents from the Malaysian Health and Adolescents Longitudinal Research Team study (n = 1,151). Body mass indices, waist-hip ratio, and percentage body fat (% BF) were obtained. PA was assessed using Physical Activity Questionnaire for Older Children (PAQ-C). Five nsSNPs were included: beta-3 adrenergic receptor (ADRB3) rs4994, FABP2 rs1799883, GHRL rs696217, MC3R rs3827103, and vitamin D receptor rs2228570, individually and as combined genetic risk score (GRS). Associations and interactions between nsSNPs and PAQ-C scores were examined using generalized linear model. RESULTS PAQ-C scores were associated with % BF (β = -0.44 [95% confidence interval -0.72, -0.16], p = 0.002). The CC genotype of ADRB3 rs4994 (β = -0.16 [-0.28, -0.05], corrected p = 0.01) and AA genotype of MC3R rs3827103 (β = -0.06 [-0.12, -0.00], p = 0.02) were significantly associated with % BF compared to TT and GG genotypes, respectively. Significant interactions with PA were found between ADRB3 rs4994 (β = -0.05 [-0.10, -0.01], p = 0.02) and combined GRS (β = -0.03 [-0.04, -0.01], p = 0.01) for % BF. CONCLUSION Higher PA score was associated with reduced % BF in Malaysian adolescents. Of the nsSNPs, ADRB3 rs4994 and MC3R rs3827103 were associated with % BF. Significant interactions with PA were found for ADRB3 rs4994 and combined GRS on % BF but not on measurements of weight or circumferences. Targeting body fat represent prospects for molecular studies and lifestyle intervention in this population.
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Affiliation(s)
- Nur Lisa Zaharan
- Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- *Correspondence: Nur Lisa Zaharan, ,
| | - Nor Hanisah Muhamad
- Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Tin Tin Su
- Centre for Population Health (CePH), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Zahurin Mohamed
- Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - M. N. A. Mohamed
- Sports Medicine Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Hazreen A. Majid
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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Miranda-Lora AL, Cruz M, Molina-Díaz M, Gutiérrez J, Flores-Huerta S, Klünder-Klünder M. Associations of common variants in the SLC16A11, TCF7L2, and ABCA1 genes with pediatric-onset type 2 diabetes and related glycemic traits in families: A case-control and case-parent trio study. Pediatr Diabetes 2017; 18:824-831. [PMID: PMID: 28101933 DOI: 10.1111/pedi.12497] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 12/14/2016] [Accepted: 12/15/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND There is evidence of associations of single-nucleotide polymorphisms (SNPs) with type 2 diabetes (T2D) and related glycemic traits in adults, but there is a little information about such associations in youths. OBJECTIVE The aim of this study was to evaluate the associations of SNPs in the TCF7L2, SLC16A11, and ABCA1 genes with T2D and related glycemic traits in Mexican children and adolescents. SUBJECTS A total of 99 families with children with T2D (n = 327) and 83 families with children without the disease (n = 212). METHODS The associations between SNPs of TCF7L2 (rs7903146 and rs12255372), SLC16A11 (rs13342232), and ABCA1 (rs9282541) with T2D were analyzed. We also evaluated the effects of SNPs on quantitatively related glycemic traits after adjusting for age, sex, and the presence of overweight or obesity. RESULTS The G allele of SLC16A1 /rs13342232 was associated with T2D in adults (adjusted odds ratio [ORadj] = 1.89; 95% confidence interval [CI]: 1.18; 3.06) and children (ORadj = 1.94; 95% CI: 1.25; 3.00). In addition, the combined analysis of case-control and case-parent trio was also significant (OR = 1.43; 95% CI: 1.12; 1.74). After adjusting for known confounding factors, we found a significant association between TCF7L2/rs122555372 and C-peptide (β = -0.76, P = .005) in patients with diabetes and between fasting glucose (β = 2.05, P = .039) and homeostatic model assessment of β-cell function (β = -32.14, P = .025) levels in individuals without diabetes. CONCLUSIONS The results suggest that SLC16A1 /rs13342232 might be involved in the risk of pediatric-onset T2D in Mexican families. Moreover, TCF7L2/rs122555372 was associated with pancreatic reserve in patients with T2D and with fasting glucose and β-cell function in individuals without diabetes.
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Affiliation(s)
- América L Miranda-Lora
- Research Unit of Medicine Based on Evidence, Hospital Infantil de México Federico Gómez, Mexico City, Mexico
| | - Miguel Cruz
- Medical Research Unit in Biochemistry, Hospital de Especialidades Centro Médico Nacional SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Mario Molina-Díaz
- Department of Endocrinology, Hospital Infantil de México Federico Gómez, Mexico City, Mexico
| | - Jorge Gutiérrez
- Medical Research Unit in Biochemistry, Hospital de Especialidades Centro Médico Nacional SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Samuel Flores-Huerta
- Department of Community Health Research, Hospital Infantil de México Federico Gómez, Mexico City, Mexico
| | - Miguel Klünder-Klünder
- Department of Community Health Research, Hospital Infantil de México Federico Gómez, Mexico City, Mexico
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Razi S, Cogger VC, Kennerson M, Benson VL, McMahon AC, Blyth FM, Handelsman DJ, Seibel MJ, Hirani V, Naganathan V, Waite L, de Cabo R, Cumming RG, Le Couteur DG. SIRT1 Polymorphisms and Serum-Induced SIRT1 Protein Expression in Aging and Frailty: The CHAMP Study. J Gerontol A Biol Sci Med Sci 2017; 72:870-876. [PMID: 28329314 DOI: 10.1093/gerona/glx018] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Accepted: 02/21/2017] [Indexed: 01/02/2023] Open
Abstract
The nutrient sensing protein, SIRT1 influences aging and nutritional interventions such as caloric restriction in animals, however, the role of SIRT1 in human aging remains unclear. Here, the role of SIRT1 single-nucleotide polymorphisms (SNPs) and serum-induced SIRT1 protein expression (a novel assay that detects circulating factors that influence SIRT1 expression in vitro) were studied in the Concord Health and Ageing in Men Project (CHAMP), a prospective cohort of community dwelling men aged 70 years and older. Serum-induced SIRT1 expression was not associated with age or mortality, however participants within the lowest quintile were less likely to be frail (odds ratio (OR) 0.34, 95% confidence interval (CI) 0.17-0.69, N = 1,309). Serum-induced SIRT1 expression was associated with some markers of body composition and nutrition (height, weight, body fat and lean % mass, albumin, and cholesterol) but not disease. SIRT1 SNPs rs2273773, rs3740051, and rs3758391 showed no association with age, frailty, or mortality but were associated with weight, height, body fat and lean, and albumin levels. There were some weak associations between SIRT1 SNPs and arthritis, heart attack, deafness, and cognitive impairment. There was no association between SIRT1 SNPs and the serum-induced SIRT1 assay. SIRT1 SNPs and serum-induced SIRT1 expression in older men may be more closely associated with nutrition and body composition than aging and age-related conditions.
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Affiliation(s)
- Shajjia Razi
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia.,ANZAC Research Institute and
| | - Victoria C Cogger
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia.,ANZAC Research Institute and.,Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | | | - Vicky L Benson
- Department of Physiology, University of Auckland, New Zealand
| | - Aisling C McMahon
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia.,Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - Fiona M Blyth
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia
| | | | | | - Vasant Hirani
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia.,Charles Perkins Centre, University of Sydney, New South Wales, Australia
| | - Vasikaran Naganathan
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia
| | - Louise Waite
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia
| | - Rafael de Cabo
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland
| | - Robert G Cumming
- School of Public Health, University of Sydney, New South Wales, Australia
| | - David G Le Couteur
- Centre for Education and Research on Ageing and the Ageing and Alzheimers Institute, University of Sydney and Concord Hospital, New South Wales, Australia.,ANZAC Research Institute and.,Charles Perkins Centre, University of Sydney, New South Wales, Australia
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Ryuk JA, Zhang X, Ko BS, Daily JW, Park S. Association of β3-adrenergic receptor rs4994 polymorphisms with the risk of type 2 diabetes: A systematic review and meta-analysis. Diabetes Res Clin Pract 2017; 129:86-96. [PMID: 28521197 DOI: 10.1016/j.diabres.2017.03.034] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Revised: 02/16/2017] [Accepted: 03/28/2017] [Indexed: 11/30/2022]
Abstract
AIM The association of ADRB3 polymorphism with the risk of T2DM remains unclear perhaps due to different ethnicities and small study sizes. We systemically evaluated the association of β3-adrenergic receptor(ADRB3)rs4994 and type 2 diabetes(T2DM) by pooling all of the case-control studies reported, and also elucidated the association according to the ethnicity and obesity of the subjects. METHODS A literature search was conducted using PubMed, EMBASE, Cochrane Library, Korean scientific database, Chinese medical databases, and the Indian medical database to identify eligible studies for determining the association of ADRB3 rs4994 and T2DM risk. The association was examined in five genetic models: the allelic(AG), recessive(RG), dominant(DG), homozygous(HMG), and heterozygous(HTG) genetic models. Subgroup analyses stratified by ethnicity(Asians and others) were assessed. RESULTS This meta-analysis included 17 eligible studies meeting Hardy-Weinberg equilibrium consisting of 4864 patients with T2DM(cases) and 8779 people without diabetes(controls). All models had no heterogeneity or publication bias in the meta-analysis including all subjects. ADRB3 rs4994 polymorphism of all subjects was significantly associated with an increased risk of T2DM in all genetic models with random effects: AG(OR=1.18, 95% CI: 1.05-1.32), RG(OR=1.76, 95% CI: 1.27-2.42), DG(OR=1.16, 95% CI: 1.03-1.30), HMG (OR=1.78, 95% CI: 1.25-2.52), and HTG(OR=1.11, 95% CI: 1.01-1.23). Furthermore, in sub-group analysis all models except HTG exhibited significant associations between T2DM and ADRB3 in Asians. However, the non-Asian group had no significant association in any genetic models with random effects. CONCLUSIONS Middle-age adult Asians with the ADRB3 rs4994 minor alleles are at increased risk of T2DM.
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Affiliation(s)
- Jin Ah Ryuk
- Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Xin Zhang
- Dept. of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
| | - Byoung-Seob Ko
- Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - James W Daily
- Dept. of R&D, Daily Manufacturing Inc., Rockwell, NC, USA
| | - Sunmin Park
- Dept. of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea.
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García-Chapa EG, Leal-Ugarte E, Peralta-Leal V, Durán-González J, Meza-Espinoza JP. Genetic Epidemiology of Type 2 Diabetes in Mexican Mestizos. BIOMED RESEARCH INTERNATIONAL 2017; 2017:3937893. [PMID: 28607931 PMCID: PMC5451767 DOI: 10.1155/2017/3937893] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 04/18/2017] [Indexed: 12/31/2022]
Abstract
There are currently about 415 million people with diabetes worldwide, a figure likely to increase to 642 million by 2040. In 2015, Mexico was the second Latin American country and sixth in the world in prevalence of this disorder with nearly 11.5 million of patients. Type 2 diabetes (T2D) is the main kind of diabetes and its etiology is complex with environmental and genetic factors involved. Indeed, polymorphisms in several genes have been associated with this disease worldwide. To estimate the genetic epidemiology of T2D in Mexican mestizos a systematic bibliographic search of published articles through PubMed, Scopus, Google Scholar, and Web of Science was conducted. Just case-control studies of candidate genes about T2D in Mexican mestizo inhabitants were included. Nineteen studies that met the inclusion criteria were found. In total, 68 polymorphisms of 41 genes were assessed; 26 of them were associated with T2D risk, which were located in ABCA1, ADRB3, CAPN10, CDC123/CAMK1D, CDKAL1, CDKN2A/2B, CRP, ELMO1, FTO, HHEX, IGF2BP2, IRS1, JAZF1, KCNQ1, LOC387761, LTA, NXPH1, SIRT1, SLC30A8, TCF7L2, and TNF-α genes. Overall, 21 of the 41 analyzed genes were associated with T2D in Mexican mestizos. Such a genetic heterogeneity compares with findings in other ethnic groups.
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Affiliation(s)
- Eiralí Guadalupe García-Chapa
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional Km 3, Col. San José, Matamoros, TAMPS, 87349, Mexico
| | - Evelia Leal-Ugarte
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional Km 3, Col. San José, Matamoros, TAMPS, 87349, Mexico
| | - Valeria Peralta-Leal
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional Km 3, Col. San José, Matamoros, TAMPS, 87349, Mexico
| | - Jorge Durán-González
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional Km 3, Col. San José, Matamoros, TAMPS, 87349, Mexico
| | - Juan Pablo Meza-Espinoza
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional Km 3, Col. San José, Matamoros, TAMPS, 87349, Mexico
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Yang Y, Liu B, Xia W, Yan J, Liu HY, Hu L, Liu SM. FTO Genotype and Type 2 Diabetes Mellitus: Spatial Analysis and Meta-Analysis of 62 Case-Control Studies from Different Regions. Genes (Basel) 2017; 8:E70. [PMID: 28208657 PMCID: PMC5333059 DOI: 10.3390/genes8020070] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 02/06/2017] [Accepted: 02/07/2017] [Indexed: 02/08/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a global health problem that results from the interaction of environmental factors with genetic variants. Although a number of studies have suggested that genetic polymorphisms in the fat mass and obesity-associated (FTO) gene are associated with T2DM risk, the results have been inconsistent. To investigate whether FTO polymorphisms associate with T2DM risk and whether this association is region-related, we performed this spatial analysis and meta-analysis. More than 60,000 T2DM patients and 90,000 controls from 62 case-control studies were included in this study. Odds ratios (ORs), 95% confidence intervals (CIs) and Moran's I statistic were used to estimate the association between FTO rs9939609, rs8050136, rs1421085, and rs17817499, and T2DM risk in different regions. rs9939609 (OR = 1.15, 95% CI 1.11-1.19) and rs8050136 (OR = 1.14, 95% CI 1.10-1.18) conferred a predisposition to T2DM. After adjustment for body mass index (BMI), the association remained statistically significant for rs9939609 (OR = 1.11, 95% CI 1.05-1.17) and rs8050136 (OR = 1.08, 95% CI 1.03-1.12). In the subgroup analysis of rs9939609 and rs8050136, similar results were observed in East Asia, while no association was found in North America. In South Asia, an association for rs9939609 was revealed but not for rs8050136. In addition, no relationship was found with rs1421085 or rs17817499 regardless of adjustment for BMI. Moran's I statistic showed that significant positive spatial autocorrelations existed in rs9939609 and rs8050136. Studies on rs9939609 and rs8050136 focused on East Asia and South Asia, whereas studies on rs1421085 and rs17817499 were distributed in North America and North Africa. Our data suggest that the associations between FTO rs9939609, rs8050136 and T2DM are region-related, and the two single-nucleotide polymorphisms contribute to an increased risk of T2DM. Future studies should investigate this issue in more regions.
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Affiliation(s)
- Ying Yang
- Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Donghu Road 169#, Wuhan 430071, China.
| | - Boyang Liu
- Department of Geography, Wilkeson Hall, State University of New York at Buffalo, Buffalo, NY 14261, USA.
| | - Wei Xia
- Department of Clinical Laboratory, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430016, China.
| | - Jing Yan
- Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China.
| | - Huan-Yu Liu
- Department of Clinical Medicine, Hubei University of Medicine, Hubei 442000, China.
| | - Ling Hu
- Department of Neurology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430016, China.
| | - Song-Mei Liu
- Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Donghu Road 169#, Wuhan 430071, China.
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Sánchez-Pozos K, Menjívar M. Genetic Component of Type 2 Diabetes in a Mexican Population. Arch Med Res 2016; 47:496-505. [DOI: 10.1016/j.arcmed.2016.12.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 12/05/2016] [Indexed: 01/15/2023]
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Monroy-Muñoz IE, Angeles-Martinez J, Posadas-Sánchez R, Villarreal-Molina T, Alvarez-León E, Flores-Dominguez C, Cardoso-Saldaña G, Medina-Urrutia A, Juárez-Rojas JG, Posadas-Romero C, Alarcon GV. PLA2G2A polymorphisms are associated with metabolic syndrome and type 2 diabetes mellitus. Results from the genetics of atherosclerotic disease Mexican study. Immunobiology 2016; 222:967-972. [PMID: 27608594 DOI: 10.1016/j.imbio.2016.08.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 07/25/2016] [Accepted: 08/30/2016] [Indexed: 01/14/2023]
Abstract
The secretory phospholipase A2 II A (sPLA2-IIA) encoded by PLA2G2A gene hydrolyzes phospholipids liberating free fatty acids (FFAs) and lysophospholipids. If lipolysis exceeds lipogenesis, the free fatty acids undergo a continuous release into circulation. A sustained excessive increase in this release contributes to metabolic disease. The aim of the present study was to evaluate the role of PLA2G2A gene polymorphisms as susceptibility markers for metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) in Mexican population. Three PLA2G2A gene polymorphisms (rs876018, rs3753827 and rs11573156) were genotyped by 5' exonuclease TaqMan assays in a group of 338 patients with T2DM, 460 individuals with MetS and 366 healthy controls. Under codominant 1(codom1), dominant (dom) and additive (add) models adjusted by age, gender, body mass index (BMI), smoking habit, and hypertension, the rs876018T allele was associated with increased risk of MetS [Odds Ratio (OR)=1.66, Pcodom1=0.005; OR=1.67, Pdom=0.003; OR=1.49, Padd=0.005] as compared to controls. On the other hand, under several models adjusted by the same variables, the rs3753827A (OR=1.52, Pcodom1=0.039 and OR=1.49, Pdom=0.039) and rs11573156C alleles (OR=6.46, Pcodom1=0.013; OR=6.70, Pcodom2=0.009; OR=6.65, Pdom=0.009) were associated with increased risk of T2DM when compared with controls. In addition, the rs876018T allele was associated with hypercholesterolemia (Pdom=0.017, Padd=0.009) and risk of subclinical atherosclerosis (SA) (Pdom=0.041) in MetS when compared with controls. Also, this allele was associated with SA in T2DM patients (Pdom=0.007). The TAG haplotype was significantly associated with increased risk of MetS (OR=1.54, P=0.006). Results suggest that PLA2G2A polymorphisms are involved in the risk of developing MetS and T2D and are associated with SA in this group of patients.
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Affiliation(s)
- Irma Eloisa Monroy-Muñoz
- Department of Human Genetics and Genomics, Instituto Nacional de Perinatología Isidro Espinoza de los Reyes, Mexico City, Mexico
| | - Javier Angeles-Martinez
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | | | - Teresa Villarreal-Molina
- Cardiovascular Genomics Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Edith Alvarez-León
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | | | | | - Aida Medina-Urrutia
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | | | - Carlos Posadas-Romero
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Gilberto Vargas Alarcon
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
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Effects of self-reported calorie restriction on correlations between SIRT1 polymorphisms and body mass index and long-term weight change. Gene 2016; 594:16-22. [PMID: 27591970 DOI: 10.1016/j.gene.2016.08.051] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Revised: 06/11/2016] [Accepted: 06/13/2016] [Indexed: 11/20/2022]
Abstract
SIRT1 acts as a cellular sensor to detect energy availability and modulates fat and glucose metabolism. This study assessed the effects of self-reported calorie restriction (CR) and exercise on correlations between SIRT1 polymorphisms and body mass index (BMI) and long-term weight change. This cross-sectional study enrolled 4023 subjects aged 35-69years (1847 men and 2176 women) selected from participants in the Japan Multi-Institutional Collaborative Cohort Study. This study was based on a self-administered questionnaire. No significant correlations between SIRT1 polymorphisms and BMI or long-term weight change were found in either the CR or the active groups. In the no-CR group, women with the rs1467568 G allele had a higher BMI than women without (p=0.02). Moreover, women with the rs7895833 A or rs1467568 G allele gained more weight from the age of 20years than women without these alleles (p=0.03 for rs7895833 and p=0.003 for rs1467568). In addition, the odds ratios (95% confidence intervals) of these alleles for overweight (BMI >27.5kg/m2) were significantly high in the no-CR women group (1.78 (1.06-2.99) for rs7895833 and 1.88 (1.13-3.15) for rs1467568) but not in the CR group. The results of this study suggest that CR might override the genetic contributions of the SIRT1 rs7895833 A and rs1467568 G alleles to BMI and long-term weight change.
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Kurylowicz A. In Search of New Therapeutic Targets in Obesity Treatment: Sirtuins. Int J Mol Sci 2016; 17:ijms17040572. [PMID: 27104517 PMCID: PMC4849028 DOI: 10.3390/ijms17040572] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2016] [Revised: 03/29/2016] [Accepted: 04/06/2016] [Indexed: 12/11/2022] Open
Abstract
Most of the available non-invasive medical therapies for obesity are non-efficient in a long-term evaluation; therefore there is a constant need for new methods of treatment. Research on calorie restriction has led to the discovery of sirtuins (silent information regulators, SIRTs), enzymes regulating different cellular pathways that may constitute potential targets in the treatment of obesity. This review paper presents the role of SIRTs in the regulation of glucose and lipid metabolism as well as in the differentiation of adipocytes. How disturbances of SIRTs’ expression and activity may lead to the development of obesity and related complications is discussed. A special emphasis is placed on polymorphisms in genes encoding SIRTs and their possible association with susceptibility to obesity and metabolic complications, as well as on data regarding altered expression of SIRTs in human obesity. Finally, the therapeutic potential of SIRTs-targeted strategies in the treatment of obesity and related disorders is discussed.
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Affiliation(s)
- Alina Kurylowicz
- Department of Human Epigenetics, Mossakowski Medical Research Centre, Polish Academy of Sciences, 5 Pawinskiego Street, 02-106 Warsaw, Poland.
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45
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Stryjecki C, Peralta-Romero J, Alyass A, Karam-Araujo R, Suarez F, Gomez-Zamudio J, Burguete-Garcia A, Cruz M, Meyre D. Association between PPAR-γ2 Pro12Ala genotype and insulin resistance is modified by circulating lipids in Mexican children. Sci Rep 2016; 6:24472. [PMID: 27075119 PMCID: PMC4830984 DOI: 10.1038/srep24472] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 03/30/2016] [Indexed: 12/03/2022] Open
Abstract
The Pro12Ala (rs1801282) polymorphism in peroxisome proliferator-activated receptor-γ2 (PPAR-γ2) has been convincingly associated with insulin resistance (IR) and type 2 diabetes (T2D) among Europeans, in interaction with a high-fat diet. Mexico is disproportionally affected by obesity and T2D however, whether the Pro12Ala polymorphism is associated with early metabolic complications in this population is unknown. We assessed the association of PPAR-γ2 Pro12Ala with metabolic traits in 1457 Mexican children using linear regression models. Interactions between PPAR-γ2 Pro12Ala and circulating lipids on metabolic traits were determined by adding an interaction term to regression models. We observed a high prevalence of overweight/obesity (49.2%), dyslipidemia (34.9%) and IR (11.1%). We detected nominally significant/significant interactions between lipids (total cholesterol, HDL-cholesterol, LDL-cholesterol), the PPAR-γ2 Pro12Ala genotype and waist-to-hip ratio, fasting insulin, HOMA-IR and IR (9.30 × 10−4 ≤ Pinteraction ≤ 0.04). Post-hoc subgroup analyses evidenced that the association between the PPAR-γ2 Pro12Ala genotype and fasting insulin, HOMA-IR and IR was restricted to children with total cholesterol or LDL-cholesterol values higher than the median (0.02 ≤ P ≤ 0.03). Our data support an association of the Pro12Ala polymorphism with IR in Mexican children and suggest that this relationship is modified by dyslipidemia.
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Affiliation(s)
- Carolina Stryjecki
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada
| | - Jesus Peralta-Romero
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Akram Alyass
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada
| | - Roberto Karam-Araujo
- Health Promotion Division, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Fernando Suarez
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Jaime Gomez-Zamudio
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Ana Burguete-Garcia
- Centro de investigación sobre enfermedades infecciosas. Instituto Nacional de Salud Pública. Cuernavaca, Morelos, Mexico
| | - Miguel Cruz
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - David Meyre
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
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Rizk SM, Shahin NN, Shaker OG. Association between SIRT1 Gene Polymorphisms and Breast Cancer in Egyptians. PLoS One 2016; 11:e0151901. [PMID: 26999517 PMCID: PMC4801365 DOI: 10.1371/journal.pone.0151901] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 03/02/2016] [Indexed: 12/23/2022] Open
Abstract
Background Breast cancer is reported to cause the highest mortality among female cancer patients. Previous studies have explored the association of silent mating-type information regulator 2 homolog 1 (SIRT1) gene expression with prognosis in breast cancer. However, no studies exist, so far, on the role of SIRT1 gene polymorphism in breast cancer risk or prognosis. The present study aimed to assess the association between SIRT1 gene polymorphisms and breast cancer in Egyptians. Methods The study comprised 980 Egyptian females divided into a breast cancer group (541 patients) and a healthy control group (439 subjects). SIRT1 gene single nucleotide polymorphisms (SNPs) rs3758391, rs3740051 and rs12778366 were genotyped using real-time polymerase chain reaction (RT-PCR). Allelic and genotypic frequencies were determined in both groups and association with breast cancer and clinicopathological characteristics was assessed. Results Breast cancer patients exhibited elevated serum SIRT1 levels which varied among different tumor grades. SIRT1 rs3758391 and rs12778366 TT genotypes were more frequent, exhibited higher SIRT1 levels than CC and CT genotypes and were associated with histologic grade and lymph node status. SIRT1 rs12778366 TT genotype also correlated with negative estrogen receptor (ER) and progesterone receptor (PR) statuses. The T allele frequency for both SNPs was higher in breast cancer patients than in normal subjects. Combined GG and AG genotypes of rs3740051 were more frequent, showed higher serum SIRT1 levels than the AA genotype, and were associated with ER and PR expression. Furthermore, inheritance of the G allele was associated with breast cancer. Conclusions Our findings reveal that rs3758391 and rs12778366 polymorphisms of SIRT1 gene are associated with breast cancer risk and prognosis in the Egyptian population.
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Affiliation(s)
- Sherine M. Rizk
- Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Nancy N. Shahin
- Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt
- * E-mail:
| | - Olfat G. Shaker
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt
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Elouej S, Nagara M, Attaoua R, Sallem OK, Rejeb I, Hsouna S, Lasram K, Halim NB, Chargui M, Jamoussi H, Turki Z, Kamoun I, Belfki-Benali H, Abid A, Slama CB, Bahri S, Triki D, Romdhane HB, Abdelhak S, Kefi R, Grigorescu F. Association of genetic variants in the FTO gene with metabolic syndrome: A case-control study in the Tunisian population. J Diabetes Complications 2016; 30:206-11. [PMID: 26700404 DOI: 10.1016/j.jdiacomp.2015.11.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 10/25/2015] [Accepted: 11/12/2015] [Indexed: 02/07/2023]
Abstract
AIMS Variants in the fat mass and obesity-associated gene (FTO) are associated with obesity and type 2 diabetes. However, the association of FTO variants in the MENA (Middle East and North Africa) region with MetS is largely unknown. In this study, we aimed to investigate the association of FTO gene with MetS and its components in Tunisian population. METHODS Two variants in the FTO gene were genotyped: rs1421085 T>C and rs8057044 A>G in cases and controls from Tunisian population. Anthropometric and biochemical parameters were assessed. Metabolic syndrome was defined according to the International Diabetes Federation (IDF). RESULTS The FTO rs1421085 variant conferred an increased risk to MetS (OR=1.61, 95% CI=1.14-2.26, P=0.024) that was abolished when adjusted for fasting plasma glucose (FPG), suggesting that the association may be due to variation in FPG levels. Indeed, this variant was associated to FPG (OR = 1.7, 95% CI=1.23-2.44, P=0.002) independently from BMI or age. The second polymorphism rs8057044 was associated with high blood pressure levels (OR=1.45, 95% CI=1.06-1.99, P=0.019). CONCLUSIONS This is the first study highlighting the association between FTO gene variants and MetS in Tunisian population. These findings provide evidence that FTO gene may play a critical role in leading to MetS in Tunisian population.
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Affiliation(s)
- Sahar Elouej
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Majdi Nagara
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Redha Attaoua
- Molecular Endocrinology Laboratory, IURC, 641, Avenue du Doyen Gaston Giraud, 34093 Montpellier Cedex5, Consortium MEDIGENE, France
| | - Om Kalthoum Sallem
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Department of External Consultation, National Institute of Nutrition and Food Technology, 11 Rue Jebel lakdhar, 1007 Tunis, Tunisia
| | - Insaf Rejeb
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Sana Hsouna
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Khaled Lasram
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Nizar Ben Halim
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Mariem Chargui
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia
| | - Henda Jamoussi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Department of External Consultation, National Institute of Nutrition and Food Technology, 11 Rue Jebel lakdhar, 1007 Tunis, Tunisia
| | - Zinet Turki
- Department of Endocrinology and Metabolic Diseases, National Institute of Nutrition and Food Technology, 11 Rue Jebel lakdhar, 1007 Tunis, Tunisia
| | - Ines Kamoun
- Department of Endocrinology and Metabolic Diseases, National Institute of Nutrition and Food Technology, 11 Rue Jebel lakdhar, 1007 Tunis, Tunisia
| | - Hanen Belfki-Benali
- Cardiovascular Epidemiology and Prevention Research Laboratory, Faculty of Medicine, 15 rue Djebel Akdhar-La Rabta-Bab Saâdoun, 1007 Tunis, Tunisia
| | - Abdelmajid Abid
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Department of External Consultation, National Institute of Nutrition and Food Technology, 11 Rue Jebel lakdhar, 1007 Tunis, Tunisia
| | - Claude Ben Slama
- Department of Endocrinology and Metabolic Diseases, National Institute of Nutrition and Food Technology, 11 Rue Jebel lakdhar, 1007 Tunis, Tunisia
| | - Sonia Bahri
- Central Laboratory of Medical Biology, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, 1002 Tunis, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Dalenda Triki
- Directorate of Basic Health Care, DSSB, 31 Rue de khartoum, 1002 Tunis, Tunisia
| | - Habiba Ben Romdhane
- Cardiovascular Epidemiology and Prevention Research Laboratory, Faculty of Medicine, 15 rue Djebel Akdhar-La Rabta-Bab Saâdoun, 1007 Tunis, Tunisia
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Consortium MEDIGENE, Tunisia; Université de Tunis El Manar, 2092 El Manar I, Tunis, Tunisia.
| | - Florin Grigorescu
- Molecular Endocrinology Laboratory, IURC, 641, Avenue du Doyen Gaston Giraud, 34093 Montpellier Cedex5, Consortium MEDIGENE, France
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Elouej S, Belfki-Benali H, Nagara M, Lasram K, Attaoua R, Sallem OK, Kamoun I, Chargui M, Romdhane L, Jamoussi H, Turki Z, Abid A, Ben Slama C, Bahri S, Abdelhak S, Grigorescu F, Ben Romdhane H, Kefi R. Association of rs9939609 Polymorphism with Metabolic Parameters and FTO Risk Haplotype Among Tunisian Metabolic Syndrome. Metab Syndr Relat Disord 2016; 14:121-8. [DOI: 10.1089/met.2015.0090] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Sahar Elouej
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Faculté des Sciences de Tunis, Université de Tunis El Manar, El Manar I Tunis, Tunisia
| | - Hanen Belfki-Benali
- Cardiovascular Epidemiology and Prevention Research Laboratory, Faculty of Medicine, Tunis, Tunisia
| | - Majdi Nagara
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Faculté des Sciences de Tunis, Université de Tunis El Manar, El Manar I Tunis, Tunisia
| | - Khaled Lasram
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Faculté des Sciences de Tunis, Université de Tunis El Manar, El Manar I Tunis, Tunisia
| | - Redha Attaoua
- Molecular Endocrinology Laboratory, IURC, Montpellier, France
| | - Om Kalthoum Sallem
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Department of External Consultation, National Institute of Nutrition and Food Technology, Tunis, Tunisia
| | - Ines Kamoun
- Department of Endocrinology and Metabolic Diseases, National Institute of Nutrition, Tunis, Tunisia
| | - Mariem Chargui
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Lilia Romdhane
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Henda Jamoussi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Department of External Consultation, National Institute of Nutrition and Food Technology, Tunis, Tunisia
| | - Zinet Turki
- Department of Endocrinology and Metabolic Diseases, National Institute of Nutrition, Tunis, Tunisia
| | - Abdelmajid Abid
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Department of External Consultation, National Institute of Nutrition and Food Technology, Tunis, Tunisia
| | - Claude Ben Slama
- Department of Endocrinology and Metabolic Diseases, National Institute of Nutrition, Tunis, Tunisia
| | - Sonia Bahri
- Faculté des Sciences de Tunis, Université de Tunis El Manar, El Manar I Tunis, Tunisia
- Laboratoire Central de Biologie Médicale, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Faculté des Sciences de Tunis, Université de Tunis El Manar, El Manar I Tunis, Tunisia
| | | | - Habiba Ben Romdhane
- Cardiovascular Epidemiology and Prevention Research Laboratory, Faculty of Medicine, Tunis, Tunisia
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Faculté des Sciences de Tunis, Université de Tunis El Manar, El Manar I Tunis, Tunisia
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Gesteiro E, Sánchez-Muniz FJ, Ortega-Azorín C, Guillén M, Corella D, Bastida S. Maternal and neonatal FTO rs9939609 polymorphism affect insulin sensitivity markers and lipoprotein profile at birth in appropriate-for-gestational-age term neonates. J Physiol Biochem 2016; 72:169-81. [PMID: 26851950 DOI: 10.1007/s13105-016-0467-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 01/27/2016] [Indexed: 11/30/2022]
Abstract
The influence of maternal fat mass and obesity (FTO) gene polymorphism on neonatal insulin sensitivity/resistance biomarkers and lipoprotein profile has not been tested. The study aimed to assess the association between the FTO rs9939609 polymorphism in mother-neonate couples and neonatal anthropometrical measurements, insulin sensitivity/resistance, and lipid and lipoprotein concentrations at birth. Fifty-three term, appropriate-for-gestational-age, Caucasian newborns together with their respective mothers participated in a cross-sectional study. Sixty-six percent of mothers and neonates carried the A allele (being AA or AT). TT mothers gained less weight during pregnancy, but non-significant maternal gene influence was found for neonatal bodyweight, body mass index, or ponderal index. Neonates from AA + AT mothers showed lower glucose, insulin, and homeostatic model assessment insulin resistance (HOMA-IR) but higher homeostatic model assessment insulin sensitivity (HOMA-IS) and homocysteine than neonates whose mothers were TT. AA + AT neonates had higher insulin and HOMA-IR than TT. The genotype neonatal × maternal association was tested in the following four groups of neonates: TT neonates × TT mothers (nTT × mTT), TT neonates × AA + AT mothers (nTT × mAA + AT), AA + AT neonates × TT mothers (nAA + AT × mTT), and AA + AT neonates × AA + AT mothers (nAA + AT × mAA + AT). Non-significant interactions between neonatal and maternal alleles were found for any parameter tested. However, maternal alleles affected significantly glucose, insulin, HOMA-IR, and homocysteine while neonatal alleles the arylesterase activity. Most significant differences were found between nATT + AA × mTT and nATT + AA × mAA + AT. Glycemia, insulinemia, and HOMA-IR were lower, while the Mediterranean diet adherence (MDA) was higher in the mAA + AT vs. mTT whose children were AA + AT. This dietary fact seems to counterbalance the potential negative effect on glucose homeostasis of the obesogenic A allele in neonates.
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Affiliation(s)
- Eva Gesteiro
- Departamento de Nutrición y Bromatología I (Nutrición), Facultad de Farmacia, Universidad Complutense de Madrid, Plaza Ramón y Cajal s/n, 28040, Madrid, Spain.,Servicio de Análisis Clínicos, Hospital de Mérida, Polígono Nueva Ciudad s/n, 06800, Mérida (Badajoz), Spain
| | - Francisco J Sánchez-Muniz
- Departamento de Nutrición y Bromatología I (Nutrición), Facultad de Farmacia, Universidad Complutense de Madrid, Plaza Ramón y Cajal s/n, 28040, Madrid, Spain.
| | - Carolina Ortega-Azorín
- Departamento de Medicina Preventiva y CIBER Fisiopatología de la Obesidad y Nutrición, ISCIII, Facultad de Medicina, Universidad de Valencia, 46010, Valencia, Spain
| | - Marisa Guillén
- Departamento de Medicina Preventiva y CIBER Fisiopatología de la Obesidad y Nutrición, ISCIII, Facultad de Medicina, Universidad de Valencia, 46010, Valencia, Spain
| | - Dolores Corella
- Departamento de Medicina Preventiva y CIBER Fisiopatología de la Obesidad y Nutrición, ISCIII, Facultad de Medicina, Universidad de Valencia, 46010, Valencia, Spain
| | - Sara Bastida
- Departamento de Nutrición y Bromatología I (Nutrición), Facultad de Farmacia, Universidad Complutense de Madrid, Plaza Ramón y Cajal s/n, 28040, Madrid, Spain
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50
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Yang MM, Wang J, Fan JJ, Ng TK, Sun DJ, Guo X, Teng Y, Li YB. Variations in the Obesity Gene "LEPR" Contribute to Risk of Type 2 Diabetes Mellitus: Evidence from a Meta-Analysis. J Diabetes Res 2016; 2016:5412084. [PMID: 27195302 PMCID: PMC4852360 DOI: 10.1155/2016/5412084] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Revised: 03/21/2016] [Accepted: 03/24/2016] [Indexed: 12/23/2022] Open
Abstract
Leptin is a hormone protein regulating food intake and energy expenditure. A number of studies have evaluated the genetic effect of leptin (LEP) and leptin receptor (LEPR) genes on T2DM. This study aimed to investigate the association between these gene polymorphisms and T2DM by a systematic review and meta-analysis. Published studies were identified through extensive search in PubMed and EMBASE. A total of 5143 T2DM cases and 5021 controls from 14 articles were included in this study. Five functional variants in LEPR were well evaluated. Meta-analysis showed that rs1137101 (p.R223Q) was significantly associated with T2DM in all genetic models: allele model (OR = 1.27, 95% confidence interval (CI) = 1.13-1.42), dominant model (OR = 1.19, 95% CI = 1.05-1.35), homozygote model (OR = 1.82, 95% CI = 1.38-2.39), and recessive model (OR = 1.75, 95% CI = 1.35-2.28), with minimal heterogeneity and no indication of publication bias. Similar associations with T2DM were also found for rs62589000 (p.P1019P) and 3'UTR ins/del, although the data was obtained from a small number of studies. For the other two polymorphisms rs1137100 (p.R109K) and rs8179183 (p.K656N), they were not significantly associated with T2DM. Our results provide robust evidences for the genetic association of rs1137101 (p.R223Q) in LEPR with T2DM susceptibility.
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Affiliation(s)
- Ming Ming Yang
- Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
- The Centre for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150001, China
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Sha Tin 999077, Hong Kong
| | - Jun Wang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Jiao Jie Fan
- Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Tsz Kin Ng
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Sha Tin 999077, Hong Kong
| | - Dian Jun Sun
- The Centre for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150001, China
| | - Xin Guo
- Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Yan Teng
- Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Yan-Bo Li
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
- *Yan-Bo Li:
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