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Sun Q, Ye F, Liu J, Yang Y, Hui Q, Chen Y, Liu D, Guo J, Wang C, Lv D, Tang L, Zhang Q. Outdoor artificial light at night exposure and gestational diabetes mellitus: a case-control study. Front Public Health 2024; 12:1396198. [PMID: 38660366 PMCID: PMC11039930 DOI: 10.3389/fpubh.2024.1396198] [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: 03/05/2024] [Accepted: 04/02/2024] [Indexed: 04/26/2024] Open
Abstract
Objective This study aims to explore the association between outdoor artificial light at night (ALAN) exposure and gestational diabetes mellitus (GDM). Methods This study is a retrospective case-control study. According with quantiles, ALAN has been classified into three categories (Q1-Q3). GDM was diagnosed through oral glucose tolerance tests. Conditional logistic regression models were used to evaluate the association between ALAN exposure and GDM risk. The odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. Restricted cubic spline analysis (RCS) was utilized to investigate the no liner association between ALAN and GDM. Results A total of 5,720 participants were included, comprising 1,430 individuals with GDM and 4,290 matched controls. Pregnant women exposed to higher levels of ALAN during the first trimester exhibited an elevated risk of GDM compared to those with lower exposure levels (Q2 OR = 1.39, 95% CI 1.20-1.63, p < 0.001); (Q3 OR = 1.70, 95% CI 1.44-2.00, p < 0.001). Similarly, elevated ALAN exposure during the second trimester also conferred an increased risk of GDM (second trimester: Q2 OR = 1.70, 95% CI 1.45-1.98, p < 0.001; Q3 OR = 2.08, 95% CI 1.77-2.44, p < 0.001). RCS showed a nonlinear association between ALAN exposure and GDM risk in second trimester pregnancy, with a threshold value of 4.235. Conclusion Outdoor ALAN exposure during pregnancy is associated with an increased risk of GDM.
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Affiliation(s)
- Qi Sun
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Precision and Smart Imaging Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Fang Ye
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Yang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Qin Hui
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuanmei Chen
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Die Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jianning Guo
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Wang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Di Lv
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Lijuan Tang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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Liu X, Zhao H, Wong A. Accounting for the health risk of probiotics. Heliyon 2024; 10:e27908. [PMID: 38510031 PMCID: PMC10950733 DOI: 10.1016/j.heliyon.2024.e27908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/22/2024] Open
Abstract
Probiotics have long been associated with a myriad of health benefits, so much so that their adverse effects whether mild or severe, are often neglected or overshadowed by the enormous volume of articles describing their beneficial effects in the current literature. Recent evidence has demonstrated several health risks of probiotics that warrant serious reconsideration of their applications and further investigations. This review aims to highlight studies that report on how probiotics might cause opportunistic systemic and local infections, detrimental immunological effects, metabolic disturbance, allergic reactions, and facilitating the spread of antimicrobial resistance. To offer a recent account of the literature, articles within the last five years were prioritized. The narration of these evidence was based on the nature of the studies in the following order of preference: clinical studies or human samples, in vivo or animal models, in situ, in vitro and/or in silico. We hope that this review will inform consumers, food scientists, and medical practitioners, on the health risks, while also encouraging research that will focus on and clarify the adverse effects of probiotics.
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Affiliation(s)
- Xiangyi Liu
- Department of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, 88 Daxue Road, Ouhai, Wenzhou, Zhejiang Province, 325060, China
- Department of Biology, Dorothy and George Hennings College of Science, Mathematics and Technology, Kean, University, 1000 Morris Ave, Union, NJ, 07083, USA
| | - Haiyi Zhao
- Department of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, 88 Daxue Road, Ouhai, Wenzhou, Zhejiang Province, 325060, China
- Department of Biology, Dorothy and George Hennings College of Science, Mathematics and Technology, Kean, University, 1000 Morris Ave, Union, NJ, 07083, USA
| | - Aloysius Wong
- Department of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, 88 Daxue Road, Ouhai, Wenzhou, Zhejiang Province, 325060, China
- Department of Biology, Dorothy and George Hennings College of Science, Mathematics and Technology, Kean, University, 1000 Morris Ave, Union, NJ, 07083, USA
- Wenzhou Municipal Key Lab for Applied Biomedical and Biopharmaceutical Informatics, Ouhai, Wenzhou, Zhejiang Province, 325060, China
- Zhejiang Bioinformatics International Science and Technology Cooperation Center, Ouhai, Wenzhou, Zhejiang Province, 325060, China
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Suthon S, Tangjittipokin W. Mechanisms and Physiological Roles of Polymorphisms in Gestational Diabetes Mellitus. Int J Mol Sci 2024; 25:2039. [PMID: 38396716 PMCID: PMC10888615 DOI: 10.3390/ijms25042039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/03/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a significant pregnancy complication linked to perinatal complications and an elevated risk of future metabolic disorders for both mothers and their children. GDM is diagnosed when women without prior diabetes develop chronic hyperglycemia due to β-cell dysfunction during gestation. Global research focuses on the association between GDM and single nucleotide polymorphisms (SNPs) and aims to enhance our understanding of GDM's pathogenesis, predict its risk, and guide patient management. This review offers a summary of various SNPs linked to a heightened risk of GDM and explores their biological mechanisms within the tissues implicated in the development of the condition.
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Affiliation(s)
- Sarocha Suthon
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Center of Research Excellence Management, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Watip Tangjittipokin
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
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Agostini LDC, Silva, NNT, Lopes ACF, Melo AS, Bicalho LSM, Almeida TC, Belo VDA, Coura-Vital W, Teixeira LFDM, Lima AA, da Silva GN. G Protein Subunit Beta 3 (GNB3) Variant Is Associated with Biochemical Changes in Brazilian Patients with Hypertension. Arq Bras Cardiol 2023; 120:e20230396. [PMID: 38126445 PMCID: PMC10789371 DOI: 10.36660/abc.20230396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/11/2023] [Accepted: 09/20/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Central Illustration : G Protein Subunit Beta 3 (GNB3) Variant Is Associated with Biochemical Changes in Brazilian Patients with Hypertension. BACKGROUND Genes and their variants associated with environmental factors contribute to the development of the hypertensive phenotype. The G protein beta 3 subunit gene (GNB3) is involved in the intracellular signaling process, and its variants have been related to susceptibility to arterial hypertension. OBJECTIVE To determine the association of the GNB3 variant (rs5443:C>T) with arterial hypertension, biochemical parameters, age, and obesity in hypertensive and normotensive individuals from Ouro Preto, Minas Gerais, Brazil. METHOD The identification of variants was performed by real-time PCR, using the TaqMan® system, in 310 samples (155 hypertensive and 155 normotensive). Biochemical analyses (renal function, lipid profile and glycemia) were performed from the serum using UV/Vis spectrophotometry and ion-selective electrode. A multiple logistic regression model was used to identify factors associated with arterial hypertension. The analysis of continuous variables with normal distribution was performed using the unpaired Student's t test; non-normal data were analyzed using Mann-Whitney. P < 0.05 was considered significant. RESULTS The rs5443:C>T variant was not associated with arterial hypertension in the evaluated population (p = 0.88). Regarding biochemical measures, the T allele was associated with high levels of triglycerides, glucose and uric acid in hypertensive individuals (p < 0.05). CONCLUSION These results show the importance of genetic diagnosis to prevent the causes and consequences of diseases and imply that the GNB3 rs5443:C>T variant may be associated with changes in the biochemical profile in hypertensive individuals.
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Affiliation(s)
- Lívia da Cunha Agostini
- Universidade Federal de Ouro PretoOuro PretoMGBrasil Universidade Federal de Ouro Preto (UFOP), Ouro Preto , MG – Brasil
| | - Nayara Nascimento Toledo Silva,
- Universidade Federal de Ouro PretoDepartamento de Análises ClínicasOuro PretoMGBrasil Universidade Federal de Ouro Preto (UFOP) – Departamento de Análises Clínicas (DEACL), Ouro Preto , MG – Brasil
| | - Ana Cláudia Faria Lopes
- Universidade Federal de Ouro PretoDepartamento de Análises ClínicasOuro PretoMGBrasil Universidade Federal de Ouro Preto (UFOP) – Departamento de Análises Clínicas (DEACL), Ouro Preto , MG – Brasil
| | - André Sacramento Melo
- Universidade Federal de Ouro PretoOuro PretoMGBrasil Universidade Federal de Ouro Preto (UFOP), Ouro Preto , MG – Brasil
| | - Luciana Soares Moreira Bicalho
- Universidade Federal de Ouro PretoOuro PretoMGBrasil Universidade Federal de Ouro Preto (UFOP), Ouro Preto , MG – Brasil
| | | | - Vanessa de Almeida Belo
- Universidade Federal de Ouro PretoCiPharmaDEFAROuro PretoMGBrasil Universidade Federal de Ouro Preto – Programa de Pós-Graduação em Ciências Farmacêuticas ( CiPharma ) – Departamento de Farmácia ( DEFAR ), Ouro Preto , MG – Brasil
| | - Wendel Coura-Vital
- Universidade Federal de Ouro PretoCiPharmaDEACLOuro PretoMGBrasil Universidade Federal de Ouro Preto – Programa de Pós-Graduação em Ciências Farmacêuticas ( CiPharma ) – Departamento de Análises Clínicas ( DEACL ), Ouro Preto , MG – Brasil
| | - Luiz Fernando de Medeiros Teixeira
- Universidade Federal de Ouro PretoDepartamento de Análises ClínicasOuro PretoMGBrasil Universidade Federal de Ouro Preto (UFOP) – Departamento de Análises Clínicas (DEACL), Ouro Preto , MG – Brasil
| | - Angélica Alves Lima
- Universidade Federal de Ouro PretoCiPharmaDEACLOuro PretoMGBrasil Universidade Federal de Ouro Preto – Programa de Pós-Graduação em Ciências Farmacêuticas ( CiPharma ) – Departamento de Análises Clínicas ( DEACL ), Ouro Preto , MG – Brasil
| | - Glenda Nicioli da Silva
- Universidade Federal de Ouro PretoCiPharmaDEACLOuro PretoMGBrasil Universidade Federal de Ouro Preto – Programa de Pós-Graduação em Ciências Farmacêuticas ( CiPharma ) – Departamento de Análises Clínicas ( DEACL ), Ouro Preto , MG – Brasil
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Zhu M, Lv Y, Peng Y, Wu Y, Feng Y, Jia T, Xu S, Li S, Wang W, Tian J, Sun L. GCKR and ADIPOQ gene polymorphisms in women with gestational diabetes mellitus. Acta Diabetol 2023; 60:1709-1718. [PMID: 37524927 PMCID: PMC10587232 DOI: 10.1007/s00592-023-02165-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/18/2023] [Indexed: 08/02/2023]
Abstract
AIMS To investigate the associations of GCKR and ADIPOQ variants with the risk of gestational diabetes mellitus (GDM) in Chinese women. METHODS GCKR rs1260326, ADIPOQ rs266729, and rs1501299 were selected and genotyped in 519 GDM patients and 498 controls. Candidate SNPs were genotyped using multiplex polymerase chain reaction (PCR) combined with next-generation sequencing methods, and the association of these SNPs with GDM was analyzed. RESULTS We found that GCKR rs1260326 was significantly associated with an increased risk of GDM in the allele model, the codominant model (CC vs. TT), the dominant model, the recessive model, and the genotypic model distributions (p = 0.0029, p = 0.0022, p = 0.0402, p = 0.0038, and p = 0.0028, respectively). The rs1260326 polymorphism was shown to be associated with 1 h-OGTT level and gravidity in GDM patients (CC vs. TT: p = 0.0475 and p = 0.0220, respectively). Diastolic blood pressure (DBP) was significantly higher in the GDM patients with the rs266729 GG genotype compared to those with the CC or CG genotype (p = 0.0444 and p = 0.0339, respectively). The DBP of the GDM patients with the rs1501299 GT genotype was lower than that of those with the GG genotype (p = 0.0197). There was a weak linkage disequilibrium value between the GCKR and ADIPOQ SNPs. CONCLUSIONS The genes GCKR and ADIPOQ may be involved in the pathophysiology of GDM.
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Affiliation(s)
- Manning Zhu
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yaer Lv
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yanqing Peng
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yingnan Wu
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yanan Feng
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Tianshuang Jia
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Songcheng Xu
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Songxue Li
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Wei Wang
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Jiawei Tian
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
| | - Litao Sun
- Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
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Fernandez LFA, Pineda-Cortel MRB. ADIPOQ gene (T45G and G276T) single nucleotide polymorphisms and their association with gestational diabetes mellitus in a Filipino population. BMC Endocr Disord 2023; 23:248. [PMID: 37953238 PMCID: PMC10641948 DOI: 10.1186/s12902-023-01479-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 10/06/2023] [Indexed: 11/14/2023] Open
Abstract
Several studies have associated the presence of ADIPOQ gene polymorphisms with insulin resistance, adiponectin levels, and metabolic diseases such as diabetes, although with varying degrees of correlation depending on ethnicity. Here we aim to identify individual's susceptibility to gestational diabetes mellitus (GDM) in the presence of T45G and G276T single nucleotide polymorphisms (SNPs) within the ADIPOQ gene among Filipino pregnant women. A total of 285 pregnant women (95 GDM cases and 190 controls) were included in this study. Two ADIPOQ gene polymorphisms were genotyped using TaqMan assay. Results of SNP genotyping showed no significant differences in the frequencies of TT, TG and GG genotypes of T45G SNP between the GDM and control group [p = 1.0000, 0.6179, 0.5797; OR (95%CI) = 1.030 (0.582-1.874), 1.135 (0.683-1.828), 0.833 (0.481-1.420)]. Similarly, the frequencies of GG, GT, and TT genotypes of G276T SNP were comparable in both groups [p = 0.8002, 1.0000, 0.3466; OR (95%CI) = 1.090 (0.654-1.785), 1.022 (0.616-1.665), 0.433 (0.092-1.698)]. Moreover, although adiponectin levels were significantly decreased in GDM group (p = 0.0196) and have shown substantial negative correlations with FBS, 1-hour OGTT, 2-hour OGTT, and HOMA-IR (p < 0.05), they were not significantly different according to genotypes of T45G and G276T polymorphisms both in GDM and control group. Our results suggest that neither of the two ADIPOQ gene polymorphisms influence adiponectin levels and development of GDM in a Filipino population.
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Affiliation(s)
- Larah Francesca A Fernandez
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Department of Medical Technology, Faculty of Pharmacy, University of Santo Tomas, Manila, Philippines
| | - Maria Ruth B Pineda-Cortel
- The Graduate School, University of Santo Tomas, Manila, Philippines.
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.
- Department of Medical Technology, Faculty of Pharmacy, University of Santo Tomas, Manila, Philippines.
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Alshammary AF, Ansar S, Farzan R, Alsobaie SF, Alageel AA, Al-Hakeem MM, Ali Khan I. Dissecting the Molecular Role of ADIPOQ SNPs in Saudi Women Diagnosed with Gestational Diabetes Mellitus. Biomedicines 2023; 11:biomedicines11051289. [PMID: 37238960 DOI: 10.3390/biomedicines11051289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/12/2023] [Accepted: 04/19/2023] [Indexed: 05/28/2023] Open
Abstract
The traditional definition of gestational diabetes mellitus (GDM) is the leading cause of carbohydrate intolerance in hyperglycemia of varying severity, with onset or initial detection during pregnancy. Previous studies have reported a relationship among obesity, adiponectin (ADIPOQ), and diabetes in Saudi Arabia. ADIPOQ is an adipokine that is produced and secreted by adipose tissue involved in the regulation of carbohydrate and fatty acid metabolism. This study investigated the molecular association between rs1501299, rs17846866, and rs2241766 single-nucleotide polymorphisms (SNPs) in ADIPOQ and GDM in Saudi Arabia. Patients with GDM and control patients were selected, and serum and molecular analyses were performed. Statistical analyses were performed on clinical data, Hardy Weinberg Equilibrium, genotype and allele frequencies, multiple logistic regression, ANOVA, haplotype, linkage disequilibrium, as well as MDR and GMDR analyses. The clinical data showed significant differences in various parameters between the GDM and non-GDM groups (p < 0.05). In GDM women with alleles, genotypes, and different genetic models, the rs1501299 and rs2241766 SNPs showed a strong association (p < 0.05). Multiple logistic regression analysis revealed a negative correlation (p > 0.05). This study concluded that rs1501299 and rs2241766 SNPs were strongly associated with GDM in women in Saudi Arabia.
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Affiliation(s)
- Amal F Alshammary
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Sabah Ansar
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Raed Farzan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Sarah F Alsobaie
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Arwa A Alageel
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Malak Mohammed Al-Hakeem
- Department of Obstetrics and Gynecology, College of Medicine, King Khalid University Hospital, Riyadh 11451, Saudi Arabia
| | - Imran Ali Khan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
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Role of melatonin receptor 1B gene polymorphism and its effect on the regulation of glucose transport in gestational diabetes mellitus. J Zhejiang Univ Sci B 2023; 24:78-88. [PMID: 36632752 PMCID: PMC9837374 DOI: 10.1631/jzus.b2200136] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Melatonin receptor 1B (MT2, encoded by the MTNR1B gene), a high-affinity receptor for melatonin, is associated with glucose homeostasis including glucose uptake and transport. The rs10830963 variant in the MTNR1B gene is linked to glucose metabolism disorders including gestational diabetes mellitus (GDM); however, the relationship between MT2-mediated melatonin signaling and a high birth weight of GDM infants from maternal glucose abnormality remains poorly understood. This article aims to investigate the relationship between rs10830963 variants and GDM development, as well as the effects of MT2 receptor on glucose uptake and transport in trophoblasts. TaqMan-MGB (minor groove binder) probe quantitative real-time polymerase chain reaction (qPCR) assays were used for rs10930963 genotyping. MT2 expression in the placenta of GDM and normal pregnant women was detected by immunofluorescence, western blot, and qPCR. The relationship between MT2 and glucose transporters (GLUTs) or peroxisome proliferator-activated receptor γ (PPARγ) was established by western blot, and glucose consumption of trophoblasts was measured by a glucose assay kit. The results showed that the genotype and allele frequencies of rs10830963 were significantly different between GDM and normal pregnant women (P<0.05). The fasting, 1-h and 2-h plasma glucose levels of G-allele carriers were significantly higher than those of C-allele carriers (P<0.05). Besides, the protein and messenger RNA (mRNA) expression of MT2 in the placenta of GDM was significantly higher than that of normal pregnant women (P<0.05). Melatonin could stimulate glucose uptake and GLUT4 and PPARγ protein expression in trophoblasts, which could be attenuated by MT2 receptor knockdown. In conclusion, the rs10830963 variant was associated with an increased risk of GDM. The MT2 receptor is essential for melatonin to raise glucose uptake and transport, which may be mediated by PPARγ.
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Lu W, Hu C. Molecular biomarkers for gestational diabetes mellitus and postpartum diabetes. Chin Med J (Engl) 2022; 135:1940-1951. [PMID: 36148588 PMCID: PMC9746787 DOI: 10.1097/cm9.0000000000002160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Indexed: 11/25/2022] Open
Abstract
ABSTRACT Gestational diabetes mellitus (GDM) is a growing public health problem worldwide that threatens both maternal and fetal health. Identifying individuals at high risk for GDM and diabetes after GDM is particularly useful for early intervention and prevention of disease progression. In the last decades, a number of studies have used metabolomics, genomics, and proteomic approaches to investigate associations between biomolecules and GDM progression. These studies clearly demonstrate that various biomarkers reflect pathological changes in GDM. The established markers have potential use as screening and diagnostic tools in GDM and in postpartum diabetes research. In the present review, we summarize recent studies of metabolites, single-nucleotide polymorphisms, microRNAs, and proteins associated with GDM and its transition to postpartum diabetes, with a focus on their predictive value in screening and diagnosis.
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Affiliation(s)
- Wenqian Lu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
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Wang Y, Lu S, Xu X, Zhang L, Yang J, Hu W. The interactive effects of pre-pregnancy body mass index, thyroid function, and blood lipid levels on the risk of gestational diabetes mellitus: a crossover analysis. BMC Pregnancy Childbirth 2022; 22:580. [PMID: 35858832 PMCID: PMC9301852 DOI: 10.1186/s12884-022-04908-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
Background Studies have demonstrated the associations between pre-pregnancy obesity, thyroid dysfunction, dyslipidemia, and increased risk of gestational diabetes mellitus (GDM) in pregnant women. This study was designed to investigate whether and to what extent, the interactions between these factors contribute to the risk of GDM. Methods A case–control study of 232 GDM cases and 696 controls was conducted among pregnant women from Hangzhou, China. Multiple logistic regression analysis was applied to identify independent risk factors of GDM. Crossover analysis was performed to assess the interactive effects of pre-pregnancy body mass index (pBMI), thyroid hormones, and blood lipid profiles on the risk of GDM. The indexes including attributable proportion (AP) to the interaction and the relative excess risk due to interaction (RERI) were calculated. Results Chinese pregnant women with pBMI > 23 kg/m2 (adjusted: OR = 4.162, p < 0.001), high triglyceride levels (> 2.30 mmol/L) (adjusted: OR = 1.735, p < 0.001), and the free triiodothyronine/free thyroxine (FT3/FT4) ratio ≥ 0.502 (OR = 4.162, p < 0.001) have significantly increased risk of GDM. Crossover analysis indicated that there were significant interactions between pre-pregnancy overweight/obesity and FT3/FT4 ≥ 0.502 (AP = 0.550, p < 0.001; RERI = 7.586, p = 0.009), high TG levels and FT3/FT4 ≥ 0.502 (AP = 0.348, 95%CI = 0.081–0.614, P = 0.010; RERI = 2.021, 95%CI = 0.064–3.978, p = 0.043) on the risk of GDM. Conclusion The interactions between pBMI and FT3/FT4 ratio, TG level and FT3/FT4 ratio may have significant impacts on the risk of GDM in pregnant women. Such findings may help improve our understanding of the pathogenesis of GDM as well as develop comprehensive strategies for the management of GDM.
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Affiliation(s)
- Ying Wang
- Department of Nutrition and Toxicology, Hangzhou Normal University School of Public Health, Hangzhou, China.,Department of Obstetrics, The Affiliated Hangzhou Women's Hospital, Hangzhou Normal University, Hangzhou, China
| | - Sha Lu
- Department of Obstetrics, The Affiliated Hangzhou Women's Hospital, Hangzhou Normal University, Hangzhou, China
| | - Xianrong Xu
- Department of Nutrition and Toxicology, Hangzhou Normal University School of Public Health, Hangzhou, China
| | - Lijun Zhang
- Department of Nutrition and Toxicology, Hangzhou Normal University School of Public Health, Hangzhou, China
| | - Jun Yang
- Department of Nutrition and Toxicology, Hangzhou Normal University School of Public Health, Hangzhou, China. .,Zhejiang Provincial Research Center for the Diagnosis and Treatment of Uterine Cancer, The Affiliated Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Wensheng Hu
- Department of Obstetrics, The Affiliated Hangzhou Women's Hospital, Hangzhou Normal University, Hangzhou, China.
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11
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Genetic Susceptibility to Insulin Resistance and Its Association with Estimated Longevity in the Hungarian General and Roma Populations. Biomedicines 2022; 10:biomedicines10071703. [PMID: 35885008 PMCID: PMC9313401 DOI: 10.3390/biomedicines10071703] [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: 06/17/2022] [Revised: 07/06/2022] [Accepted: 07/12/2022] [Indexed: 11/23/2022] Open
Abstract
Diabetes mellitus is a major public health problem with a wide range of prevalence among different ethnic groups. Early recognition of pre-diabetes is important to prevent the development of the disease, its complications, co-morbidities, and consequently early death. Insulin resistance (IR) is considered a condition that precedes type 2 diabetes; thus, understanding its underlying causes (genetic and non-genetic factors) will bring us closer to preventing it. The present study aimed to investigate the genetic susceptibility to IR and its impact on estimated longevity in populations with different ethnic origins using randomly selected samples of 372 Hungarian general (HG, as a reference with Caucasian origin) and 334 Roma participants (largest ethnic minority in Europe, with a northern India origin). In the present study, we used the Homeostasis Model Assessment—Insulin Resistance (HOMA—IR) to identify people with IR (>3.63) at the population level. To investigate the genetic predisposition to IR, 29 single nucleotide polymorphisms (SNPs) identified in a systematic literature search were selected and genotyped in sample populations. In the analyses, the adjusted p < 0.0033 was considered significant. Of these 29 SNPs, the commutative effects of 15 SNPs showing the strongest association with HOMA—IR were used to calculate an optimized genetic risk score (oGRS). The oGRS was found nominally significantly (p = 0.019) higher in the Roma population compared to HG one, and it was more strongly correlated with HOMA—IR. Therefore, it can be considered as a stronger predictor of the presence of IR among the Roma (AUCRoma = 0.673 vs. AUCHG = 0.528). Furthermore, oGRS also showed a significant correlation with reduced estimated longevity in the Roma population (β = −0.724, 95% CI: −1.230−−0.218; p = 0.005), but not in the HG one (β = 0.065, 95% CI: −0.388−0.518; p = 0.779). Overall, IR shows a strong correlation with a genetic predisposition among Roma, but not in the HG population. Furthermore, the increased genetic risk of Roma is associated with shorter estimated longevity, whereas this association is not observed in the HG one. Increased genetic susceptibility of Roma to IR should be considered in preventive programs targeting the development of type 2 diabetes, which may also reduce the risk of preventable premature death among them.
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12
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Ortega-Contreras B, Armella A, Appel J, Mennickent D, Araya J, González M, Castro E, Obregón AM, Lamperti L, Gutiérrez J, Guzmán-Gutiérrez E. Pathophysiological Role of Genetic Factors Associated With Gestational Diabetes Mellitus. Front Physiol 2022; 13:769924. [PMID: 35450164 PMCID: PMC9016477 DOI: 10.3389/fphys.2022.769924] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 03/15/2022] [Indexed: 11/13/2022] Open
Abstract
Gestational Diabetes Mellitus (GDM) is a highly prevalent maternal pathology characterized by maternal glucose intolerance during pregnancy that is, associated with severe complications for both mother and offspring. Several risk factors have been related to GDM; one of the most important among them is genetic predisposition. Numerous single nucleotide polymorphisms (SNPs) in genes that act at different levels on various tissues, could cause changes in the expression levels and activity of proteins, which result in glucose and insulin metabolism dysfunction. In this review, we describe various SNPs; which according to literature, increase the risk of developing GDM. These SNPs include: (1) those associated with transcription factors that regulate insulin production and excretion, such as rs7903146 (TCF7L2) and rs5015480 (HHEX); (2) others that cause a decrease in protective hormones against insulin resistance such as rs2241766 (ADIPOQ) and rs6257 (SHBG); (3) SNPs that cause modifications in membrane proteins, generating dysfunction in insulin signaling or cell transport in the case of rs5443 (GNB3) and rs2237892 (KCNQ1); (4) those associated with enzymes such as rs225014 (DIO2) and rs9939609 (FTO) which cause an impaired metabolism, resulting in an insulin resistance state; and (5) other polymorphisms, those are associated with growth factors such as rs2146323 (VEGFA) and rs755622 (MIF) which could cause changes in the expression levels of these proteins, producing endothelial dysfunction and an increase of pro-inflammatory cytokines, characteristic on GDM. While the pathophysiological mechanism is unclear, this review describes various potential effects of these polymorphisms on the predisposition to develop GDM.
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Affiliation(s)
- B. Ortega-Contreras
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - A. Armella
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - J. Appel
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - D. Mennickent
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
- Department of Instrumental Analysis, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - J. Araya
- Department of Instrumental Analysis, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - M. González
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universidad de Concepción, Concepción, Chile
| | - E. Castro
- Departamento de Obstetricia y Puericultura, Facultad de Ciencias de la Salud, Universidad de Atacama, Copiapó, Chile
| | - A. M. Obregón
- Faculty of Health Care, Universidad San Sebastián, Concepción, Chile
| | - L. Lamperti
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - J. Gutiérrez
- Faculty of Health Sciences, Universidad San Sebastián, Santiago,Chile
| | - E. Guzmán-Gutiérrez
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
- *Correspondence: E. Guzmán-Gutiérrez,
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13
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Zhang S, Liu X, Yang T, Wang T, Chen L, Qin J. Association of maternal dietary habits and ADIPOQ gene polymorphisms with the risk of congenital heart defects in offspring: a hospital-based case-control study. Eur J Clin Nutr 2022; 76:373-381. [PMID: 34230631 DOI: 10.1038/s41430-021-00969-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 05/27/2021] [Accepted: 06/21/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To estimate the association of maternal ADIPOQ gene, dietary habits in early pregnancy, and their interactions with the risk of congenital heart defects (CHDs) in offspring. METHODS A case-control study of 464 mothers of CHDs children and 504 mothers of healthy children was included. Maternal dietary habits and genetic polymorphisms of ADIPOQ were the main exposure of interest. Their independent effects and interactions in the development of CHDs were analyzed in our study. RESULTS The excessive consumption of pickled vegetables (aOR = 1.58, 95%CI: 1.17-2.12), smoked foods (aOR = 1.84, 95%CI:1.34-2.52), barbecued foods (aOR = 1.62, 95%CI: 1.09-2.39), fish and shrimp (aOR = 0.37, 95%CI: 0.27-50), and milk products (aOR = 0.64, 95%CI: 0.51-80) had a significant association with total CHDs risk. The polymorphisms of ADIPOQ gene at rs1501299 (T/T vs G/G: aOR = 0.27, 95%CI: 0.14-50; G/T vs G/G: aOR = 0.67, 95%CI: 0.46-98) and rs2241766 (G/G vs T/T: aOR = 4.35, 95%CI: 2.23-8.51; T/G vs T/T: aOR = 2.23, 95%CI: 1.51-3.28) showed a significant association with total CHDs risk. Likewise, our results found that maternal dietary habits and ADIPOQ genetic variants also were significantly related to the risk of specific CHDs phenotypes. In addition, gene-diet interaction revealed significant associations between the ADIPOQ gene and maternal dietary habits with total CHDs. CONCLUSIONS Maternal dietary habits, ADIPOQ gene, and their interactions show a significant association with the risk of CHDs. However, our study has some limitations, thus our findings need to be taken with caution, which highlights that more studies are required to further corroborate our findings.
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Affiliation(s)
- Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Xiaoying Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Tubao Yang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Tingting Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,National Health Commission Key Laboratory for Birth Defect Research and Prevention, Changsha, Hunan, China
| | - Lizhang Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. .,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China.
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. .,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China. .,National Health Commission Key Laboratory for Birth Defect Research and Prevention, Changsha, Hunan, China. .,Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
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14
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Howlader M, Sultana MI, Akter F, Hossain MM. Adiponectin gene polymorphisms associated with diabetes mellitus: A descriptive review. Heliyon 2021; 7:e07851. [PMID: 34471717 PMCID: PMC8387910 DOI: 10.1016/j.heliyon.2021.e07851] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/17/2021] [Accepted: 08/18/2021] [Indexed: 01/24/2023] Open
Abstract
Diabetes is currently a growing concern of the age. Prevention and treatment of diabetes is a global health priority. Adiponectin is an adipocyte derived protein hormone that enhances insulin sensitivity and ameliorates diabetes by enhancing fatty acid oxidation and glucose uptake in skeletal muscle and reducing glucose production in the liver. Low serum adiponectin concentrations are associated with diabetes, central obesity, insulin resistance and metabolic syndrome. Adiponectin gene is located on chromosome 3q27, where a locus of susceptibility to diabetes was mapped. Several cross-sectional studies showed that single nucleotide polymorphisms (SNPs) in adiponectin gene (ADIPOQ) were associated with diabetes. SNPs in ADIPOQ help in assessing the association of common variants with levels of adiponectin and the risk of diabetes. Two common SNPs, rs2241766 and rs1501299, have been linked significantly to type 1 diabetes mellitus which endow the world with a block of haplotypes. Experimental evidences also suggest that rs1501299, rs2241766, rs266729, rs17366743, rs17300539, rs182052, rs822396, rs17846866, rs3774261 and rs822393 are significantly associated with type 2 diabetes mellitus which is the predominant form of the disease. In addition, rs2241766 and rs266729 are extensively associated with gestational diabetes, a condition that develops in women during pregnancy. Therefore not a particular single mutation but a number of SNPs in adiponectin gene could be a risk factor for developing diabetes among the individuals worldwide. This study firmly suggests that adiponectin plays a crucial role in the pathogenesis of type 1, type 2 and gestational diabetes mellitus.
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Affiliation(s)
- Mithu Howlader
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - Mst Irin Sultana
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - Farzana Akter
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - Md. Murad Hossain
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
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15
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Wei W, He Y, Wang X, Tan G, Zhou F, Zheng G, Tian D, Ma X, Yu H. Gestational Diabetes Mellitus: The Genetic Susceptibility Behind the Disease. Horm Metab Res 2021; 53:489-498. [PMID: 34384105 DOI: 10.1055/a-1546-1652] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Gestational diabetes mellitus (GDM), a type of pregnancy-specific glucose intolerance or hyperglycemia, is one of the most common metabolic disorders in pregnant women with 16.9% of the global prevalence of gestational hyperglycemia. Not only are women with GDM likely to develop T2DM, but their children are also at risk for birth complications or metabolic disease in adulthood. Therefore, identifying the potential risk factors for GDM is very important in the prevention and treatment of GDM. Previous studies have shown that genetic predisposition is an essential component in the occurrence of GDM. In this narrative review, we describe the role of polymorphisms in different functional genes associated with increased risk for GDM, and available evidence on genetic factors in the risk of GDM is summarized and discussed.
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Affiliation(s)
- Wenwen Wei
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Yuejuan He
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Xin Wang
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Guiqin Tan
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Fangyu Zhou
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Guangbing Zheng
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Dan Tian
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Xiaomin Ma
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Hongsong Yu
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
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16
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Shahriari A, Karimi E, Shahriari M, Aslani N, Khooshideh M, Arab A. The effect of probiotic supplementation on the risk of gestational diabetes mellitus among high-risk pregnant women: A parallel double-blind, randomized, placebo-controlled clinical trial. Biomed Pharmacother 2021; 141:111915. [PMID: 34328109 DOI: 10.1016/j.biopha.2021.111915] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 06/21/2021] [Accepted: 07/06/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Based on a comprehensive search, we realized that the findings of the available literature are contradictory, and also limited data are available on Middle Eastern populations in terms of probiotic supplementation during the pregnancy. Therefore, the current double-blind, randomized, placebo-controlled clinical trial was carried out to investigate the effects of probiotic supplementation during pregnancy on the risk of gestational diabetes mellitus and also other maternal and neonatal outcomes. MATERIALS AND METHODS The pregnant women were randomized to either received probiotic supplement (n = 271) or placebo (n = 271) from the first half of the second trimester (14 weeks of pregnancy) up to 24 weeks when pregnant women routinely evaluated regarding the GDM. During the 24-28 weeks of pregnancy, mothers were evaluated regarding the presence of GDM using a 75 g oral glucose tolerance test (OGTT). The fasting blood glucose (FBG) was also evaluated within OGTT processes. Each 500 mg probiotic capsule was a mixture of Lactobacillus acidophilus LA1 (>7.5 × 109 CFU), Bifidobacterium longum sp54 cs (>1.5 × 109 CFU), and Bifidobacterium bifidum sp9 cs (>6 × 109 CFU). RESULTS Overall, 507 pregnant women make up our study population with a mean age of 32.03 years and a Body Mass Index (BMI) of 30.20 kg/m2. There was no significant difference between the intervention and the control group regarding FBG (88.68 vs. 89.61 mg/dL; P = 0.338), OGTT-1h (163.86 vs. 166.88; mg/dL; P = 0.116), and OGTT-2h (138.39 vs. 139.27; mg/dL; P = 0.599). The incidence of GDM in the intervention group was 41.9% which was not significantly different from the control group (40.2%) (P = 0.780). Likewise, no significant difference was detected in terms of other studied parameters. CONCLUSIONS It seems that probiotics supplementation of pregnant women from the first half of the second trimester up to 24 weeks of pregnancy does not reduce the risk of GDM, or improve other neonatal and maternal outcomes.
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Affiliation(s)
- Ali Shahriari
- Department of Anesthesiology, Roozbe Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Elham Karimi
- Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Research Development Center, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | | | - Neda Aslani
- Research Development Center, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maryam Khooshideh
- Research Development Center, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Arman Arab
- Department of Community Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
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Liu J, Song G, Zhao G, Meng T. Association between TNF-α polymorphisms and gestational diabetes mellitus: a meta-analysis and trial sequential analysis. Gynecol Endocrinol 2021; 37:506-510. [PMID: 32772885 DOI: 10.1080/09513590.2020.1804549] [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] [Indexed: 10/23/2022] Open
Abstract
AIM Previous studies have yielded controversial results about the link between tumor necrosis factor-α (TNF-α) gene polymorphisms (rs1800629, rs361525, and rs1799724) and risk of gestational diabetes mellitus (GDM). Thus, a meta-analysis was performed to obtain a more conclusive result. MATERIALS AND METHODS Eligible studies were retrieved in PubMed, Embase, China National Knowledge Infrastructure, and Wanfang databases on February 18 2020. Odds ratios (ORs) with 95% confidence intervals (CIs) were utilized to evaluate the relationship between TNF-α polymorphisms and GDM susceptibility in five genetic models. The subgroup stratified analysis and trial sequential analysis (TSA) were both performed. RESULTS In total, 15 studies on TNF-α polymorphism including 1289 GDM patients and 1445 healthy women were identified. For rs1800629, significant associations were found in Asian subgroup in five genetic models (for example: allele model, p = .001, OR = 2.20, 95% CI = 1.38-3.52). The existing samples were adequate revealed by TSA, which reached a shred of solid evidence. No association was observed between TNF-α rs361525 and rs1799724 polymorphisms with the GDM risk within all genetic models (p > .05). CONCLUSIONS For Asian populations, TNF-α rs1800629 is a risk factor for GDM. There was no association between two TNF-α polymorphisms (rs361525 and rs1799724) and GDM under all genetic models. More multi-ethnic and larger sample size studies are needed to confirm these null associations.
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Affiliation(s)
- Jing Liu
- Department of Obstetrics, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Guang Song
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ge Zhao
- Department of Obstetrics, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Tao Meng
- Department of Obstetrics, The First Affiliated Hospital of China Medical University, Shenyang, China
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18
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Cheng H, Zhu W, Zhu M, Sun Y, Sun X, Jia D, Yang C, Yu H, Zhang C. Meta-analysis: Interleukin 6 gene -174G/C polymorphism associated with type 2 diabetes mellitus and interleukin 6 changes. J Cell Mol Med 2021; 25:5628-5639. [PMID: 33960655 PMCID: PMC8184671 DOI: 10.1111/jcmm.16575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 03/21/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022] Open
Abstract
The gene coding interleukin 6 (IL‐6) is a promising candidate in predisposition to type 2 diabetes mellitus (T2DM). This study aimed to meta‐analytically examine the association of IL‐6 gene −174G/C polymorphism with T2DM and circulating IL‐6 changes across −174G/C genotypes. Odds ratio (OR) and standard mean difference (SMD) with 95% confidence interval (CI) were calculated. Twenty‐five articles were meta‐analysed, with 20 articles for T2DM risk and 9 articles for circulating IL‐6 changes. Overall, there was no detectable significance for the association between −174G/C polymorphism and T2DM, and this association was relatively obvious under dominant model (OR: 0.82, 95% CI: 0.56‐1.21). Improved heterogeneity was seen in some subgroups, with statistical significance found in studies involving subjects of mixed races (OR: 0.63, 95% CI: 0.46‐0.86). Begg's and filled funnel plots, along with Egger's tests revealed week evidence of publication bias. In genotype‐phenotype analyses, carriers of −174CC and −174CG genotypes separately had 0.10 and 0.03 lower concentrations (pg/mL) of circulating IL‐6 than −174GG carriers. Albeit no detectable significance for the association of −174G/C with T2DM, our findings provided suggestive evidence on a dose‐dependent relation between −174G/C mutant alleles and circulating IL‐6 concentrations, indicating possible implication of this polymorphism in the pathogenesis of T2DM.
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Affiliation(s)
- Hao Cheng
- Department of Clinics, Qiqihar Medical University, Qiqihar, China
| | - Wenbin Zhu
- Department of Molecular Biology Laboratory, Qiqihar Medical University, Qiqihar, China
| | - Mou Zhu
- Department of Biochemistry and Molecular Biology, Qiqihar Medical University, Qiqihar, China
| | - Yan Sun
- Department of Clinical Pathogen Microbiology, Qiqihar Medical University, Qiqihar, China
| | - Xiaojie Sun
- Department of Clinical Biochemistry, Qiqihar Medical University, Qiqihar, China
| | - Di Jia
- Department of Biochemistry and Molecular Biology, Qiqihar Medical University, Qiqihar, China
| | - Chao Yang
- Department of Biochemistry and Molecular Biology, Qiqihar Medical University, Qiqihar, China
| | - Haitao Yu
- Department of Cell Biology, Qiqihar Medical University, Qiqihar, China
| | - Chunjing Zhang
- Department of Biochemistry and Molecular Biology, Qiqihar Medical University, Qiqihar, China
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19
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Yu XY, Song LP, Wei SD, Wen XL, Liu DB. CDK5 Regulatory Subunit-Associated Protein 1-Like 1 Gene Polymorphisms and Gestational Diabetes Mellitus Risk: A Trial Sequential Meta-Analysis of 13,306 Subjects. Front Endocrinol (Lausanne) 2021; 12:722674. [PMID: 34721291 PMCID: PMC8551443 DOI: 10.3389/fendo.2021.722674] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/20/2021] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES The CDK5 regulatory subunit-associated protein 1-like 1 (CDKAL1) contributes to islet β-cell function and insulin secretion by inhibiting the activation of CDK5. The current studies on the relationship between CDKAL1 polymorphisms rs7756992 A>G and rs7754840 C>G and the risk of gestational diabetes mellitus (GDM) have drawn contradictory conclusions. MATERIALS AND METHODS A meta-analysis with a fixed- or random-effects model was conducted to estimate the correlation between studied CDKAL1 polymorphisms and GDM risk with the summary odds ratio (OR) and 95% confidence interval (CI). In addition, trial sequential analysis (TSA) and false-positive report probability (FPRP) analysis were performed to confirm the study findings. RESULTS A total of 13,306 subjects were included in the present study. Meta-analysis results showed that the variant heterozygous and homozygous genotypes of the two polymorphisms were associated with increased GDM risk in comparison with the wild-type AA genotype (AG vs. AA: OR = 1.23, 95% CI = 1.08, 1.41, p = 0.002; GG vs. AA: OR = 1.47, 95% CI = 1.05, 2.05, p = 0.024 for rs7756992; and CG vs. GG: OR = 1.36, 95% CI = 1.13, 1.65, p = 0.002; CC vs. GG: OR = 1.76, 95% CI = 1.37, 2.26, p < 0.001 for rs7754840). The TSA confirmed a significant association between rs7754840 and the susceptibility to GDM because the cumulative Z-curve crossed both the conventional cutoff value and the TSA boundaries under the heterozygote and homozygote models. CONCLUSIONS This study supported the finding that rs7756992 and rs7754840 are associated with susceptibility to GDM. However, further functional studies are warranted to clarify the mechanism.
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Affiliation(s)
- Xiang-yuan Yu
- Department of Epidemiology and Health Statistics, Guilin Medical University, Guilin, China
- *Correspondence: Xiang-yuan Yu, ; Da-bin Liu,
| | - Li-ping Song
- Department of Epidemiology and Health Statistics, Guilin Medical University, Guilin, China
| | - Shu-dan Wei
- Department of Epidemiology and Health Statistics, Guilin Medical University, Guilin, China
| | - Xiao-lan Wen
- Department of Epidemiology and Health Statistics, Guilin Medical University, Guilin, China
| | - Da-bin Liu
- Fujian Key Laboratory of Women and Children’s Critical Diseases Research, Fujian Maternity and Child Health Hospital, Fuzhou, China
- *Correspondence: Xiang-yuan Yu, ; Da-bin Liu,
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Álvarez D, Muñoz Y, Ortiz M, Maliqueo M, Chouinard-Watkins R, Valenzuela R. Impact of Maternal Obesity on the Metabolism and Bioavailability of Polyunsaturated Fatty Acids during Pregnancy and Breastfeeding. Nutrients 2020; 13:nu13010019. [PMID: 33374585 PMCID: PMC7822469 DOI: 10.3390/nu13010019] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/09/2020] [Accepted: 12/16/2020] [Indexed: 12/13/2022] Open
Abstract
Prenatal and postnatal development are closely related to healthy maternal conditions that allow for the provision of all nutritional requirements to the offspring. In this regard, an appropriate supply of fatty acids (FA), mainly n-3 and n-6 long-chain polyunsaturated fatty acids (LCPUFA), is crucial to ensure a normal development, because they are an integral part of cell membranes and participate in the synthesis of bioactive molecules that regulate multiple signaling pathways. On the other hand, maternal obesity and excessive gestational weight gain affect FA supply to the fetus and neonate, altering placental nutrient transfer, as well as the production and composition of breast milk during lactation. In this regard, maternal obesity modifies FA profile, resulting in low n-3 and elevated n-6 PUFA levels in maternal and fetal circulation during pregnancy, as well as in breast milk during lactation. These modifications are associated with a pro-inflammatory state and oxidative stress with short and long-term consequences in different organs of the fetus and neonate, including in the liver, brain, skeletal muscle, and adipose tissue. Altogether, these changes confer to the offspring a higher risk of developing obesity and its complications, as well as neuropsychiatric disorders, asthma, and cancer. Considering the consequences of an abnormal FA supply to offspring induced by maternal obesity, we aimed to review the effects of obesity on the metabolism and bioavailability of FA during pregnancy and breastfeeding, with an emphasis on LCPUFA homeostasis.
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Affiliation(s)
- Daniela Álvarez
- Endocrinology and Metabolism Laboratory, West Division, Faculty of Medicine, University of Chile, Santiago 8380000, Chile; (D.Á.); (Y.M.); (M.O.); (M.M.)
| | - Yasna Muñoz
- Endocrinology and Metabolism Laboratory, West Division, Faculty of Medicine, University of Chile, Santiago 8380000, Chile; (D.Á.); (Y.M.); (M.O.); (M.M.)
| | - Macarena Ortiz
- Endocrinology and Metabolism Laboratory, West Division, Faculty of Medicine, University of Chile, Santiago 8380000, Chile; (D.Á.); (Y.M.); (M.O.); (M.M.)
| | - Manuel Maliqueo
- Endocrinology and Metabolism Laboratory, West Division, Faculty of Medicine, University of Chile, Santiago 8380000, Chile; (D.Á.); (Y.M.); (M.O.); (M.M.)
| | - Raphaël Chouinard-Watkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S1A8, Canada;
| | - Rodrigo Valenzuela
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON M5S1A8, Canada;
- Nutrition Department, Faculty of Medicine, University of Chile, Santiago 8380000, Chile
- Correspondence: or ; Tel.: +56-2-9786746
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Zhang M, Wang X, Yang X, Dong T, Hu W, Guan Q, Tun HM, Chen Y, Chen R, Sun Z, Chen T, Xia Y. Increased risk of gestational diabetes mellitus in women with higher prepregnancy ambient PM 2.5 exposure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 730:138982. [PMID: 32388108 DOI: 10.1016/j.scitotenv.2020.138982] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 04/21/2020] [Accepted: 04/23/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Air pollution is a serious environmental problem in China. This study was designed to investigate whether exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5) before pregnancy is associated with gestational diabetes mellitus (GDM) and fasting glucose in China. METHODS We recruited subjects and collected clinical data from the Nanjing Maternity and Child Health Care Hospital from July 2016 to October 2017. A series of validated land-use regression (LUR) models were built to assess individual exposure to PM2.5 in a 1 × 1 km area at both work and home addresses following a time-weighted pattern. Multiple linear regression and logistic regression analyses were performed to examine the association between PM2.5 exposure and GDM and fasting glucose. RESULTS In total, 11,639 of 16,995 women were included in the final analysis. Among the 11,639 women, 2776 (23.85%) had GDM. Individual exposure to PM2.5 within three months before pregnancy ranged from 21.58 to 85.92 μg/m3. Positive associations were observed among the interquartile ranges (IQRs) of exposure to PM2.5 within three months before pregnancy and GDM (OR = 2.61, 95% CI: 1.40-4.93, p < .01) as well as fasting glucose levels (β = 0.57, 95% CI: 0.45-0.68, p < .01). The diabetogenic effects of PM2.5 gradually increased from the first month before pregnancy, peaked in the second month and then gradually decreased until the third month when the week-specific exposure were analyzed to identify the sensitive time window. CONCLUSION Our study confirmed that higher exposure to PM2.5 within three months before pregnancy is significantly associated with increased risk of GDM and elevated fasting glucose levels, reflecting the importance of preconceptional environmental exposure in the development of maternal GDM.
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Affiliation(s)
- Mingzhi Zhang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xu Wang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xu Yang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Tianyu Dong
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Weiyue Hu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Quanquan Guan
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Hein M Tun
- HKU-Pasteur Research Pole, School of Public Health, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yi Chen
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, China
| | - Rui Chen
- School of Public Health, Capital Medical University, China
| | - Zhiwei Sun
- School of Public Health, Capital Medical University, China
| | - Ting Chen
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Hospital, Nanjing, China.
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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Babadi M, Khorshidi A, Aghadavood E, Samimi M, Kavossian E, Bahmani F, Mafi A, Shafabakhsh R, Satari M, Asemi Z. The Effects of Probiotic Supplementation on Genetic and Metabolic Profiles in Patients with Gestational Diabetes Mellitus: a Randomized, Double-Blind, Placebo-Controlled Trial. Probiotics Antimicrob Proteins 2020; 11:1227-1235. [PMID: 30535534 DOI: 10.1007/s12602-018-9490-z] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
This study was carried out to evaluate the effects of probiotic supplementation on genetic and metabolic profiles in patients with gestational diabetes mellitus (GDM) who were not on oral hypoglycemic agents. This randomized, double-blind, placebo-controlled clinical trial was conducted in 48 patients with GDM. Participants were randomly divided into two groups to intake either probiotic capsule containing Lactobacillus acidophilus, Lactobacillus casei, Bifidobacterium bifidum, Lactobacillus fermentum (2 × 109 CFU/g each) (n = 24) or placebo (n = 24) for 6 weeks. Probiotic intake upregulated peroxisome proliferator-activated receptor gamma (P = 0.01), transforming growth factor beta (P = 0.002) and vascular endothelial growth factor (P = 0.006), and downregulated gene expression of tumor necrosis factor alpha (P = 0.03) in peripheral blood mononuclear cells of subjects with GDM. In addition, probiotic supplementation significantly decreased fasting plasma glucose (β, - 3.43 mg/dL; 95% CI, - 6.48, - 0.38; P = 0.02), serum insulin levels (β, - 2.29 μIU/mL; 95% CI, - 3.60, - 0.99; P = 0.001), and insulin resistance (β, - 0.67; 95% CI, - 1.05, - 0.29; P = 0.001) and significantly increased insulin sensitivity (β, 0.009; 95% CI, 0.004, 0.01; P = 0.001) compared with the placebo. Additionally, consuming probiotic significantly decreased triglycerides (P = 0.02), VLDL-cholesterol (P = 0.02), and total-/HDL-cholesterol ratio (P = 0.006) and significantly increased HDL-cholesterol levels (P = 0.03) compared with the placebo. Finally, probiotic administration led to a significant reduction in plasma malondialdehyde (P < 0.001), and a significant elevation in plasma nitric oxide (P = 0.01) and total antioxidant capacity (P = 0.01) was observed compared with the placebo. Overall, probiotic supplementation for 6 weeks to patients with GDM had beneficial effects on gene expression related to insulin and inflammation, glycemic control, few lipid profiles, inflammatory markers, and oxidative stress.
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Affiliation(s)
- Mahtab Babadi
- Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Ahmad Khorshidi
- Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.
| | - Esmat Aghadavood
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, I.R., Iran
| | - Mansooreh Samimi
- Department of Gynecology and Obstetrics, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Elham Kavossian
- Department of Gynecology and Obstetrics, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Fereshteh Bahmani
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, I.R., Iran
| | - Alireza Mafi
- Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Rana Shafabakhsh
- Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Mahbobeh Satari
- Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, I.R., Iran.
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Shiqiao H, Bei X, Yini Z, Lei J. Risk factors of gestational diabetes mellitus during assisted reproductive technology procedures. Gynecol Endocrinol 2020; 36:318-321. [PMID: 31432718 DOI: 10.1080/09513590.2019.1648418] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
To investigate risk factors of gestational diabetes mellitus (GDM) during assisted reproductive technology (ART) procedures. A total of 1022 patients were included in this retrospective cohort study from January 1, 2014 to August 31, 2017. While patients were divided into two groups: the non- GDM group and the GDM group. There was no significant difference in basal FSH, AFC, infertility years, gestational age, number of fetus, method of fertilization, and reason of infertility between the two groups. However, age, BMI, and fresh cycle were verified to be association with GDM by using logistic regression model. During the process of controlled ovarian hyperstimulation (COH), estradiol (E2) was significantly lower in the GDM group. The incidence of GDM was highest when E2 level less than 200 pg/mL of per oocyte. Our study showed maternal fundamental factors had greater impacts on subsequent GDM.
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Affiliation(s)
- Hu Shiqiao
- Reroductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Xu Bei
- Reroductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Zhang Yini
- Reroductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Jin Lei
- Reroductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
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Yahaya TO, Salisu T, Abdulrahman YB, Umar AK. Update on the genetic and epigenetic etiology of gestational diabetes mellitus: a review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2020. [DOI: 10.1186/s43042-020-00054-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Abstract
Background
Many studies have been conducted on the genetic and epigenetic etiology of gestational diabetes mellitus (GDM) in the last two decades because of the disease’s increasing prevalence and role in global diabetes mellitus (DM) explosion. An update on the genetic and epigenetic etiology of GDM then becomes imperative to better understand and stem the rising incidence of the disease. This review, therefore, articulated GDM candidate genes and their pathophysiology for the awareness of stakeholders.
Main body (genetic and epigenetic etiology, GDM)
The search discovered 83 GDM candidate genes, of which TCF7L2, MTNR1B, CDKAL1, IRS1, and KCNQ1 are the most prevalent. Certain polymorphisms of these genes can modulate beta-cell dysfunction, adiposity, obesity, and insulin resistance through several mechanisms. Environmental triggers such as diets, pollutants, and microbes may also cause epigenetic changes in these genes, resulting in a loss of insulin-boosting and glucose metabolism functions. Early detection and adequate management may resolve the condition after delivery; otherwise, it will progress to maternal type 2 diabetes mellitus (T2DM) and fetal configuration to future obesity and DM. This shows that GDM is a strong risk factor for T2DM and, in rare cases, type 1 diabetes mellitus (T1DM) and maturity-onset diabetes of the young (MODY). This further shows that GDM significantly contributes to the rising incidence and burden of DM worldwide and its prevention may reverse the trend.
Conclusion
Mutations and epigenetic changes in certain genes are strong risk factors for GDM. For affected individuals with such etiologies, medical practitioners should formulate drugs and treatment procedures that target these genes and their pathophysiology.
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Wang X, Liu J, Wang D, Zhu H, Kang L, Jiang J. Expression and correlation of Chemerin and FABP4 in peripheral blood of gestational diabetes mellitus patients. Exp Ther Med 2019; 19:710-716. [PMID: 31897106 PMCID: PMC6913377 DOI: 10.3892/etm.2019.8247] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 11/18/2019] [Indexed: 02/07/2023] Open
Abstract
Expression and correlation of Chemerin and fatty acid-binding protein 4 (FABP4) in peripheral blood of gestational diabetes mellitus (GDM) patients were investigated. Sixty patients with GDM from March 2018 to March 2019 in the People's Hospital of Zhangqiu Area were selected as the study group (SG) and another 50 healthy pregnant women corresponding to their age and pregnancy were selected as the control group (CG). Enzyme linked immunosorbent assay (ELISA) was used to detect the expression of Chemerin and FABP4 in serum. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of Chemerin and FABP4 in peripheral blood for GDM patients. Pearson's correlation coefficient was used to analyze the correlation between Chemerin and FABP4 and the correlation between Chemerin and inflammatory factors such as interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). Expression of Chemerin and FABP4 in peripheral blood of GDM patients were significantly higher than those in CG. The AUC of GDM patients diagnosed with Chemerin and FABP4 in peripheral blood was 0.820 and 0.814, while the AUC of GDM patients diagnosed with Chemerin combined with FABP4 in peripheral blood was 0.904. Expression of inflammatory factors IL-6 and TNF-α in the SG were significantly higher than those in the CG. Chemerin in the SG was positively correlated with FABP4 and positively correlated with inflammatory factors IL-6 and TNF-α. Patients with advanced age (≥35 years), family history of diabetes, hyperlipidemia, high pre-pregnancy BMI, high fasting blood glucose, high Chemerin and high FABP4 expression have high risk of GDM. In conclusion, Chemerin and FABP4 were upregulated in the peripheral blood of GDM patients. There was a positive correlation between the two and a positive correlation with the inflammatory factors IL-6 and TNF-α.
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Affiliation(s)
- Xueling Wang
- Department of Obstetrics and Gynecology, The People's Hospital of Zhangqiu Area, Jinan, Shandong 250200, P.R. China
| | - Juanjuan Liu
- Department of Obstetrics, The Third People's Hospital of Qingdao, Qingdao, Shandong 266041, P.R. China
| | - Dongqing Wang
- Department of Obstetrics (Maternal and Child Health Center), The People's Hospital of Zhangqiu Area, Jinan, Shandong 250200, P.R. China
| | - Honghua Zhu
- Department of Gastroenterology, The People's Hospital of Zhangqiu Area, Jinan, Shandong 250200, P.R. China
| | - Le Kang
- Department of Obstetrics, The People's Hospital of Zhangqiu Area, Jinan, Shandong 250200, P.R. China
| | - Juan Jiang
- Department of Nursing, The Third People's Hospital of Qingdao, Qingdao, Shandong 266041, P.R. China
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Altered foetoplacental vascular endothelial signalling to insulin in diabesity. Mol Aspects Med 2019; 66:40-48. [DOI: 10.1016/j.mam.2019.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 02/19/2019] [Accepted: 02/28/2019] [Indexed: 12/26/2022]
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Obesity: Pathophysiology, monosodium glutamate-induced model and anti-obesity medicinal plants. Biomed Pharmacother 2019; 111:503-516. [DOI: 10.1016/j.biopha.2018.12.108] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 12/13/2018] [Accepted: 12/23/2018] [Indexed: 02/08/2023] Open
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Antidiabetic‐Like Effects of Naringenin‐7‐O‐glucoside from EdibleChrysanthemum‘Kotobuki’ and Naringenin by Activation of the PI3K/Akt Pathway and PPARγ. Chem Biodivers 2018; 16:e1800434. [DOI: 10.1002/cbdv.201800434] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 10/08/2018] [Indexed: 01/11/2023]
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Li J, Li N, Yan S, Liu M, Sun B, Lu Y, Shao Y. Ursolic acid alleviates inflammation and against diabetes‑induced nephropathy through TLR4‑mediated inflammatory pathway. Mol Med Rep 2018; 18:4675-4681. [PMID: 30221655 DOI: 10.3892/mmr.2018.9429] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 06/25/2018] [Indexed: 12/06/2022] Open
Abstract
Ursolic acid (UA) is a triterpenoid isolated from Chinese herbal medicine. It is extensively distributed in the plant kingdom in at least 63 Chinese herbal medicines of 26 families. UA has multiple bioactivities, including anti‑viral hepatitis, antitumor, anti‑oxidation, anti‑bacterium and anti‑inflammation. The aim of this in vitro study was to examine the effects of UA on diabetes‑induced nephropathy and its possible mechanism. In mice with diabetes‑induced nephropathy, UA increased the body weight, reduced kidney/body weight index, protected kidney cells, alleviated inflammation [tumor necrosis factor (TNF)‑α, interleukin (IL)‑1β, IL‑6 and IL‑18 levels] and kidney cell damage. It was also indicated that UA suppressed Toll‑like receptor 4 (TLR4), myeloid differentiation factor 88 and nuclear factor‑κB protein expression in mice with diabetes‑induced nephropathy. The inhibition of TLR4 increased the anti‑inflammation of UA on inflammation in rat with diabetes‑induced nephropathy through the TLR4 signaling pathway. In conclusion, UA alleviates inflammation and inhibits diabetes‑induced nephropathy through a TLR4‑mediated inflammatory pathway. The present findings indicated that UA may be a possible therapeutic agent against diabetic nephropathy.
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Affiliation(s)
- Jian Li
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, National Clinical Center of Geriatric Medicine, Beijing 100853, P.R. China
| | - Nan Li
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, National Clinical Center of Geriatric Medicine, Beijing 100853, P.R. China
| | - Shuangtong Yan
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, National Clinical Center of Geriatric Medicine, Beijing 100853, P.R. China
| | - Minyan Liu
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, National Clinical Center of Geriatric Medicine, Beijing 100853, P.R. China
| | - Banruo Sun
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, National Clinical Center of Geriatric Medicine, Beijing 100853, P.R. China
| | - Yanhui Lu
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, National Clinical Center of Geriatric Medicine, Beijing 100853, P.R. China
| | - Yinghong Shao
- Outpatient Department, Chinese PLA General Hospital, Beijing 100853, P.R. China
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Maktabi M, Jamilian M, Amirani E, Chamani M, Asemi Z. The effects of magnesium and vitamin E co-supplementation on parameters of glucose homeostasis and lipid profiles in patients with gestational diabetes. Lipids Health Dis 2018; 17:163. [PMID: 30025522 PMCID: PMC6053775 DOI: 10.1186/s12944-018-0814-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 07/09/2018] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Magnesium and vitamin E are known to exert multiple beneficial effects, such as anti-glycemic and anti-lipidemic properties. The aim of this study was to determine the effects of magnesium and vitamin E co-supplementation on metabolic status of women with gestational diabetes (GDM). METHODS This randomized, double-blinded, placebo-controlled trial was conducted among 60 subjects diagnosed with GDM, aged 18-40 years. Subjects were randomly allocated into two groups to receive 250 mg/day magnesium oxide plus 400 IU/day vitamin E supplements or placebo (n = 30 each group) for 6 weeks. Participants' blood samples were taken to determine their metabolic profiles. RESULTS Subjects who received magnesium plus vitamin E supplements had significantly lower fasting plasma glucose (β - 5.20 mg/dL; 95% CI, - 7.88, - 2.52; P = 0.002), serum insulin levels (β - 2.93 μIU/mL; 95% CI, - 5.68, - 0.18; P = 0.02) and homeostasis model of assessment-insulin resistance (β - 0.78; 95% CI, - 1.42, - 0.14; P = 0.01), and higher quantitative insulin sensitivity check index (β 0.01; 95% CI, 0.005, 0.02; P = 0.002) compared with placebo. In addition, magnesium plus vitamin E supplementation resulted in a significant reduction in serum triglycerides (β - 50.31 mg/dL; 95% CI, - 67.58, - 33.04; P < 0.001), VLDL- (β - 10.06 mg/dL; 95% CI, - 13.51, - 6.60; P < 0.001), total- (β - 26.10 mg/dL; 95% CI, - 41.88, - 10.33; P = 0.004), LDL- (β - 15.20 mg/dL; 95% CI, - 29.50, - 0.91; P = 0.03) and total-/HDL-cholesterol ratio (β - 0.46; 95% CI, - 0.72, - 0.19; P < 0.001) compared with placebo. Magnesium and vitamin E co-supplementation did not affect HDL-cholesterol levels. CONCLUSIONS Overall, magnesium and vitamin E co-supplementation for 6 weeks in women with GDM significantly improved glycemic control and lipid profiles, except for HDL-cholesterol levels. CLINICAL TRIAL REGISTRATION NUMBER http://www.irct.ir : IRCT20170513033941N24.
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Affiliation(s)
- Maryam Maktabi
- Endocrinology and Metabolism Research Center, Department of Gynecology and Obstetrics, School of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Mehri Jamilian
- Endocrinology and Metabolism Research Center, Department of Gynecology and Obstetrics, School of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Elaheh Amirani
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
| | - Maryam Chamani
- Department of Gynecology and Obstetrics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Iran
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