1
|
Li Y, Zhong X, Yang M, Yuan L, Wang D, Li T, Guo Y. A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors. J OBSTET GYNAECOL 2024; 44:2372665. [PMID: 38963181 DOI: 10.1080/01443615.2024.2372665] [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: 01/12/2023] [Accepted: 06/21/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication during pregnancy. We aimed to evaluate a risk prediction model of GDM based on traditional and genetic factors. METHODS A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to gather general data. Serum test results were collected from the laboratory information system. Independent risk factors for GDM were identified using univariate and multivariate logistic regression analyses. A GDM risk prediction model was constructed and evaluated with the Hosmer-Lemeshow goodness-of-fit test, goodness-of-fit calibration plot, receiver operating characteristic curve and area under the curve. RESULTS Among traditional factors, age ≥30 years, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms (SNPs) (rs2779116, rs5215, rs11605924, rs7072268, rs7172432, rs10811661, rs2191349, rs10830963, rs174550, rs13266634 and rs11071657) were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. CONCLUSIONS Both genetic and traditional factors contribute to the risk of GDM in women, operating through diverse mechanisms. Strengthening the risk prediction of SNPs for postpartum DM among women with GDM history is crucial for maternal and child health protection.
Collapse
Affiliation(s)
- Ying Li
- Xinjiang Medical University, Urumqi, China
| | - Xinli Zhong
- Department of Gynecology and Obstetrics, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Mengjiao Yang
- Department of Laboratory, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Lu Yuan
- Department of Endocrinology, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Dandan Wang
- Department of Endocrinology, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Ting Li
- Department of Endocrinology, The First People's Hospital of Shuangliu District, Chengdu, China
| | - Yanying Guo
- Department of Endocrinology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| |
Collapse
|
2
|
Chermon D, Birk R. Association of BDNF polymorphism with gestational diabetes mellitus risk: a novel insight into genetic predisposition. J Perinat Med 2024; 52:611-616. [PMID: 38726479 DOI: 10.1515/jpm-2023-0366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 04/09/2024] [Indexed: 07/14/2024]
Abstract
OBJECTIVES Gestational diabetes mellitus (GDM) is a prevalent metabolic disorder during pregnancy with potential long-term health implications for the mother and child. The interplay between genetics and GDM susceptibility remains an area of active research. Recently, brain-derived neurotrophic factor (BDNF) was investigated in relation to obesity and impaired glucose metabolism and pathogenesis. We aimed to investigate the association of common BDNF polymorphisms, with GDM risk in Israeli females. METHODS A cohort of 4,025 Israeli women data for BDNF common SNPs was analyzed for potential association with GDM using binary logistic regressions analysis (SPSS 29.0 and R) adjusted for confounding variables (age, T1DM, T2DM, PCOS) under different genetic models. RESULTS The GDM and Non-GDM genetic frequencies for the BDNF rs925946 Tag-SNP were significantly different. The genetic frequencies were 54.16 %, and 66.91 % for the wild type (GG), 38.88 and 29.64 % for the heterozygotes (TC), and 6.94 and 3.48 % for the risk allele homozygotes (TT) for the GDM non-GDM populations, respectively. Carriers of BDNF rs925946 were significantly associated with higher risk for GDM, following the dominant genetic model (OR=1.7, 95 % CI 1.21-2.39, p=0.002), the recessive genetic model (OR=2.05, 95 % CI 1.04-4.03, p=0.03), and the additive genetic model (OR=1.62, 95 % CI 1.13-2.3, p=0.008). This association persisted after adjusting for age, T1DM, T2DM, and polycystic ovary syndrome (PCOS). CONCLUSIONS Carrying BDNF rs925946 polymorphism predisposes to a higher risk of GDM pathogenesis. Its role and implications warrant further investigation, especially when considering preventive measures for GDM development.
Collapse
Affiliation(s)
- Danyel Chermon
- Nutrition Department, Health Sciences Faculty, 42732 Ariel University , Ariel, Israel
| | - Ruth Birk
- Nutrition Department, Health Sciences Faculty, 42732 Ariel University , Ariel, Israel
| |
Collapse
|
3
|
Pakha DN, Yudhani RD, Irham LM. Investigation of missense mutation-related type 1 diabetes mellitus through integrating genomic databases and bioinformatic approach. Genomics Inform 2024; 22:8. [PMID: 38926794 PMCID: PMC11201337 DOI: 10.1186/s44342-024-00005-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/03/2024] [Indexed: 06/28/2024] Open
Abstract
Though genes are already known to be responsible for type 1 diabetes mellitus (T1DM), the knowledge of missense mutation of that disease gene has still to be under covered. A genomic database and a bioinformatics-based approach are integrated in the present study in order to address this issue. Initially, nine variants associated with T1DM were retrieved from the GWAS catalogue. Different genomic algorithms such as PolyPhen2.0, SNPs and GTEx analyser programs were used to study the structural and functional effects of these mutations. Subsequently, SNPnexus was also employed to understand the effect of these mutations on the function of the expressed protein. Nine missense variants of T1DM were identified using the GWAS catalogue database. Among these nine SNPs, three were predicted to be related to the progression of T1DM disease by affecting the protein level. TYK2 gene variants with SNP rs34536443 were thought to have a probably damaging effect. Meanwhile, both COL4A3 and IFIH1 genes with SNPs rs55703767 and rs35667974, respectively, might alter protein function through a possibly damaging prediction. Among the variants of the three genes, the TYK2 gene with SNP rs34536443 had the strongest contribution in affecting the development of T1DM, with a score of 0.999. We sincerely hope that the results could be of immense importance in understanding the genetic basis of T1DM.
Collapse
Affiliation(s)
- Dyonisa Nasirochmi Pakha
- Department of Pharmacology, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, 57126, Indonesia
| | - Ratih Dewi Yudhani
- Department of Pharmacology, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, 57126, Indonesia.
| | | |
Collapse
|
4
|
Kasuga Y, Takahashi M, Kajikawa K, Akita K, Otani T, Ikenoue S, Tanaka M. Perinatal Outcomes of Diet Therapy in Gestational Diabetes Mellitus Diagnosed before 24 Gestational Weeks. Nutrients 2024; 16:1553. [PMID: 38892487 PMCID: PMC11174494 DOI: 10.3390/nu16111553] [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: 04/25/2024] [Revised: 05/15/2024] [Accepted: 05/18/2024] [Indexed: 06/21/2024] Open
Abstract
To evaluate perinatal outcomes and risk factors for large for gestational age (LGA; birth weight over 90 percentile) in gestational diabetes diagnosed before 24 gestational weeks and treated with diet therapy alone until delivery (Diet Early gestational diabetes mellitus (Diet Early GDM)), we assessed the maternal characteristics and perinatal outcomes of patients with early GDM (n = 309) and normal glucose tolerance (NGT; n = 309) at Keio University Hospital. The gestational weight gain (GWG) expected at 40 weeks was significantly lower in the Diet Early GDM group than in the NGT group. The Diet Early GDM group exhibited a significantly lower incidence of low birth weight (<2500 g) and higher Apgar score at 5 min than the NGT group. Multiple logistic regression analysis revealed that the pre-pregnancy body mass index and GWG expected at 40 weeks were significantly associated with LGA for Diet Early GDM. No differences were observed in random plasma glucose levels in the first trimester, 75 g oral glucose tolerance test values, and initial increase or subsequent decrease between the two groups. Dietary early GDM did not exhibit a worse prognosis than NGT. To prevent LGA, it might be important to control maternal body weight not only during pregnancy but also before conception.
Collapse
Affiliation(s)
- Yoshifumi Kasuga
- Department of Obstetrics and Gynecology, Keio University School of Medicine, 5 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan (S.I.); (M.T.)
| | | | | | | | | | | | | |
Collapse
|
5
|
Ray GW, Zeng Q, Kusi P, Zhang H, Shao T, Yang T, Wei Y, Li M, Che X, Guo R. Genetic and inflammatory factors underlying gestational diabetes mellitus: a review. Front Endocrinol (Lausanne) 2024; 15:1399694. [PMID: 38694942 PMCID: PMC11061502 DOI: 10.3389/fendo.2024.1399694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 03/28/2024] [Indexed: 05/04/2024] Open
Abstract
Gestational diabetes mellitus (GDM) poses a significant global health concern, impacting both maternal and fetal well-being. Early detection and treatment are imperative to mitigate adverse outcomes during pregnancy. This review delves into the pivotal role of insulin function and the influence of genetic variants, including SLC30A8, CDKAL1, TCF7L2, IRS1, and GCK, in GDM development. These genetic variations affect beta-cell function and insulin activity in crucial tissues, such as muscle, disrupting glucose regulation during pregnancy. We propose a hypothesis that this variation may disrupt zinc transport, consequently impairing insulin production and secretion, thereby contributing to GDM onset. Furthermore, we discussed the involvement of inflammatory pathways, such as TNF-alpha and IL-6, in predisposing individuals to GDM. Genetic modulation of these pathways may exacerbate glucose metabolism dysregulation observed in GDM patients. We also discussed how GDM affects cardiovascular disease (CVD) through a direct correlation between pregnancy and cardiometabolic function, increasing atherosclerosis, decreased vascular function, dyslipidemia, and hypertension in women with GDM history. However, further research is imperative to unravel the intricate interplay between inflammatory pathways, genetics, and GDM. This understanding is pivotal for devising targeted gene therapies and pharmacological interventions to rectify genetic variations in SLC30A8, CDKAL1, TCF7L2, IRS1, GCK, and other pertinent genes. Ultimately, this review offers insights into the pathophysiological mechanisms of GDM, providing a foundation for developing strategies to mitigate its impact.
Collapse
Affiliation(s)
- Gyan Watson Ray
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Qiaoli Zeng
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Phidelia Kusi
- University of Ghana, Ministry of Fisheries and Aquaculture Development, Fisheries Commission, Accra, Ghana
| | - Hengli Zhang
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Taotao Shao
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
| | - Taili Yang
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Yue Wei
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Mianqin Li
- Department of Obstetric, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Xiaoqun Che
- Department of Obstetric, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
- Reproductive Medicine Center, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Runmin Guo
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| |
Collapse
|
6
|
Xie YP, Lin S, Xie BY, Zhao HF. Recent progress in metabolic reprogramming in gestational diabetes mellitus: a review. Front Endocrinol (Lausanne) 2024; 14:1284160. [PMID: 38234430 PMCID: PMC10791831 DOI: 10.3389/fendo.2023.1284160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 12/11/2023] [Indexed: 01/19/2024] Open
Abstract
Gestational diabetes mellitus is a prevalent metabolic disease that can impact the normal course of pregnancy and delivery, leading to adverse outcomes for both mother and child. Its pathogenesis is complex and involves various factors, such as insulin resistance and β-cell dysfunction. Metabolic reprogramming, which involves mitochondrial oxidative phosphorylation and glycolysis, is crucial for maintaining human metabolic balance and is involved in the pathogenesis and progression of gestational diabetes mellitus. However, research on the link and metabolic pathways between metabolic reprogramming and gestational diabetes mellitus is limited. Therefore, we reviewed the relationship between metabolic reprogramming and gestational diabetes mellitus to provide new therapeutic strategies for maternal health during pregnancy and reduce the risk of developing gestational diabetes mellitus.
Collapse
Affiliation(s)
- Ya-ping Xie
- Nursing Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Shu Lin
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
- Group of Neuroendocrinology, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Bao-yuan Xie
- Nursing Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Hui-fen Zhao
- Nursing Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| |
Collapse
|
7
|
Xie W, Zhang L, Wang J, Wang Y. Association of HHEX and SLC30A8 Gene Polymorphisms with Gestational Diabetes Mellitus Susceptibility: A Meta-analysis. Biochem Genet 2023; 61:2203-2221. [PMID: 37103601 DOI: 10.1007/s10528-023-10385-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 04/14/2023] [Indexed: 04/28/2023]
Abstract
Genetics plays a role in the development of gestational diabetes mellitus (GDM), which poses serious risks to pregnant women and their children. Several studies have demonstrated a link between GDM susceptibility and rs13266634 C/T polymorphism in SLC30A8 gene and rs1111875 C/T and rs5015480 C/T, which are located near the linkage disequilibrium block containing the IDE, HHEX, and KIF11 genes. However, the results are conflicting. Therefore, we aimed to investigate the association between susceptibility to GDM and HHEX and SLC30A8 gene polymorphisms. PubMed, Web of Science, EBSCO, CNKI, Wanfang Data, VIP, and SCOPUS were used to search for research articles. The quality of the selected literature was evaluated using the Newcastle-Ottawa scale. A meta-analysis was performed using Stata 15.1. Allelic, dominant, recessive, homozygote, and heterozygote models were used for the analysis. Nine articles with 15 studies were included. (1) Four studies about HHEX rs1111875 showed that the C allele was associated with the susceptibility to GDM; (2) three studies on HHEX rs5015480 indicated that the C allele in rs5015480 was significantly associated with GDM; (3) eight studies about SLC30A8 rs13266634 showed that the C allele was significantly associated with the susceptibility to GDM; and (4) a subgroup analysis showed that the rs5015480 polymorphism in HHEX and rs13266634 polymorphism in SLC30A8 gene were associated with GDM susceptibility in Asians. The meta-analysis provided evidence that the C allele in rs1111875 and rs5015480 in HHEX and rs13266634 in SLC30A8 can increase the risk of GDM.PROSPERO registration number CRD42022342280.
Collapse
Affiliation(s)
- Wanting Xie
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, No.48, Xinxi Road, Haidian District, Beijing, 100084, China
| | - Liuwei Zhang
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, No.48, Xinxi Road, Haidian District, Beijing, 100084, China.
- Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing, 100084, China.
| | - Jiawei Wang
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, No.48, Xinxi Road, Haidian District, Beijing, 100084, China
| | - Yirui Wang
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, No.48, Xinxi Road, Haidian District, Beijing, 100084, China
| |
Collapse
|
8
|
Ren Q, Wang H, Zeng Y, Tan X, Cheng X, Zhou T, Huang W, Xu Y. The Association Between Serum Magnesium Levels and Gestational Diabetes Mellitus: a Systematic Review and Meta-Analysis. Biol Trace Elem Res 2023; 201:5115-5125. [PMID: 36790586 DOI: 10.1007/s12011-023-03591-6] [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: 10/15/2022] [Accepted: 02/02/2023] [Indexed: 02/16/2023]
Abstract
Observational studies suggest that the potential role of magnesium remains controversial in gestational diabetes mellitus (GDM). This meta-analysis aims to consolidate the available information from observational studies that have focused on the relationship between magnesium levels and GDM. A systematic and comprehensive literature search was conducted in PubMed, Embase, Web of Science, CNKI, and Wanfang databases. Data were extracted independently by two investigators. Standardized mean differences (SMD) and 95% confidence intervals (CIs) were used to summarize the circulating magnesium levels (CI). This meta-analysis included a total of 17 studies involving 2858 participants including 1404 GDM cases and 1454 healthy controls, which showed that magnesium levels were significantly lower in GDM compared to healthy controls (SMD: - 0.35; 95% CI: - 0.62, - 0.07, P = 0.013). Likewise, the same phenomenon was observed in the third trimester (SMD = - 1.07; 95% CI: - 1.84 to - 0.29, P = 0.007). Other subgroup analyses revealed that this trend of decreasing magnesium concentration was only observed in Europeans (SMD = - 0.64; 95% CI: - 0.90, - 0.38, P < 0.0001). This meta-analysis revealed that serum magnesium levels were lower in patients with GDM than in healthy pregnant women, and this discrepancy was most pronounced in European populations and during the third trimester. Nevertheless, current evidence suggests that circulating magnesium deficiency is associated with gestational diabetes; the challenge for the future is to further elucidate the possible benefits of preventing gestational diabetes through magnesium supplementation.
Collapse
Affiliation(s)
- Qian Ren
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China
| | - Hongya Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China
| | - Yan Zeng
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China
- Faculty of Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, China
| | - Xiaozhen Tan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China
- Experimental Medicine Center, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xi Cheng
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China
| | - Tingting Zhou
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China
| | - Wei Huang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China.
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China.
| | - Yong Xu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China.
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
- Sichuan Clinical Research Center for Nephropathy, Luzhou, Sichuan, China.
| |
Collapse
|
9
|
Alam KA, Svalastoga P, Martinez A, Glennon JC, Haavik J. Potassium channels in behavioral brain disorders. Molecular mechanisms and therapeutic potential: A narrative review. Neurosci Biobehav Rev 2023; 152:105301. [PMID: 37414376 DOI: 10.1016/j.neubiorev.2023.105301] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/26/2023] [Accepted: 06/30/2023] [Indexed: 07/08/2023]
Abstract
Potassium channels (K+-channels) selectively control the passive flow of potassium ions across biological membranes and thereby also regulate membrane excitability. Genetic variants affecting many of the human K+-channels are well known causes of Mendelian disorders within cardiology, neurology, and endocrinology. K+-channels are also primary targets of many natural toxins from poisonous organisms and drugs used within cardiology and metabolism. As genetic tools are improving and larger clinical samples are being investigated, the spectrum of clinical phenotypes implicated in K+-channels dysfunction is rapidly expanding, notably within immunology, neurosciences, and metabolism. K+-channels that previously were considered to be expressed in only a few organs and to have discrete physiological functions, have recently been found in multiple tissues and with new, unexpected functions. The pleiotropic functions and patterns of expression of K+-channels may provide additional therapeutic opportunities, along with new emerging challenges from off-target effects. Here we review the functions and therapeutic potential of K+-channels, with an emphasis on the nervous system, roles in neuropsychiatric disorders and their involvement in other organ systems and diseases.
Collapse
Affiliation(s)
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway; Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | | | - Jeffrey Colm Glennon
- Conway Institute for Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland.
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Norway.
| |
Collapse
|
10
|
Zhang M, Li Q, Wang KL, Dong Y, Mu YT, Cao YM, Liu J, Li ZH, Cui HL, Liu HY, Hu AQ, Zheng YJ. Lipolysis and gestational diabetes mellitus onset: a case-cohort genome-wide association study in Chinese. J Transl Med 2023; 21:47. [PMID: 36698149 PMCID: PMC9875546 DOI: 10.1186/s12967-023-03902-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/17/2023] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Genetic knowledge of gestational diabetes mellitus (GDM) in Chinese women is quite limited. This study aimed to identify the risk factors and mechanism of GDM at the genetic level in a Chinese population. METHODS We conducted a genome-wide association study (GWAS) based on single nucleotide polymorphism (SNP) array genotyping (ASA-CHIA Bead chip, Illumina) and a case-cohort study design. Variants including SNPs, copy number variants (CNVs), and insertions-deletions (InDels) were called from genotyping data. A total of 2232 pregnant women were enrolled in their first/second trimester between February 2018 and December 2020 from Anqing Municipal Hospital in Anhui Province, China. The GWAS included 193 GDM patients and 819 subjects without a diabetes diagnosis, and risk ratios (RRs) and their 95% confidence intervals (CIs) were estimated by a regression-based method conditional on the population structure. The calling and quality control of genotyping data were performed following published guidelines. CNVs were merged into CNV regions (CNVR) to simplify analyses. To interpret the GWAS results, gene mapping and overexpression analyses (ORAs) were further performed to prioritize the candidate genes and related biological mechanisms. RESULTS We identified 14 CNVRs (false discovery rate corrected P values < 0.05) and two suggestively significant SNPs (P value < 0.00001) associated with GDM, and a total of 19 candidate genes were mapped. Ten genes were significantly enriched in gene sets related to lipase (triglyceride lipase and lipoprotein lipase) activity (LIPF, LIPK, LIPN, and LIPJ genes), oxidoreductase activity (TPH1 and TPH2 genes), and cellular components beta-catenin destruction complex (APC and GSK3B genes), Wnt signalosome (APC and GSK3B genes), and lateral element in the Gene Ontology resource (BRCA1 and SYCP2 genes) by two ORA methods (adjusted P values < 0.05). CONCLUSIONS Genes related to lipolysis, redox reaction, and proliferation of islet β-cells are associated with GDM in Chinese women. Energy metabolism, particularly lipolysis, may play an important role in GDM aetiology and pathology, which needs further molecular studies to verify.
Collapse
Affiliation(s)
- Miao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Qing Li
- Department of Obstetrics and Gynecology, Anqing Municipal Hospital, Anqing, 246003, China
| | - Kai-Lin Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Yao Dong
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Yu-Tong Mu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Yan-Min Cao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Jin Liu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Zi-Heng Li
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Hui-Lu Cui
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Hai-Yan Liu
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China.
| | - An-Qun Hu
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China.
| | - Ying-Jie Zheng
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, 200032, China.
| |
Collapse
|