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Groen in ‘t Woud S, van Gelder MMHJ, van Rooij IALM, Feitz WFJ, Roeleveld N, Schreuder MF, van der Zanden LFM. Genetic and environmental factors driving congenital solitary functioning kidney. Nephrol Dial Transplant 2024; 39:463-472. [PMID: 37738450 PMCID: PMC10899751 DOI: 10.1093/ndt/gfad202] [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: 03/31/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Congenital solitary functioning kidney (CSFK) is an anomaly predisposing to hypertension, albuminuria and chronic kidney disease. Its aetiology is complex and includes genetic and environmental factors. The role of gene-environment interactions (G×E), although relevant for other congenital anomalies, has not yet been investigated. Therefore, we performed a genome-wide G×E analysis with six preselected environmental factors to explore the role of these interactions in the aetiology of CSFK. METHODS In the AGORA (Aetiologic research into Genetic and Occupational/environmental Risk factors for Anomalies in children) data- and biobank, genome-wide single-nucleotide variant (SNV) data and questionnaire data on prenatal exposure to environmental risk factors were available for 381 CSFK patients and 598 healthy controls. Using a two-step strategy, we first selected independent significant SNVs associated with one of the six environmental risk factors. These SNVs were subsequently tested in G×E analyses using logistic regression models, with Bonferroni-corrected P-value thresholds based on the number of SNVs selected in step one. RESULTS In step one, 7-40 SNVs were selected per environmental factor, of which only rs3098698 reached statistical significance (P = .0016, Bonferroni-corrected threshold 0.0045) for interaction in step two. The interaction between maternal overweight and this SNV, which results in lower expression of the Arylsulfatase B (ARSB) gene, could be explained by lower insulin receptor activity in children heterozygous for rs3098698. Eight other G×E interactions had a P-value <.05, of which two were biologically plausible and warrant further study. CONCLUSIONS Interactions between genetic and environmental factors may contribute to the aetiology of CSFK. To better determine their role, large studies combining data on genetic and environmental risk factors are warranted.
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Affiliation(s)
- Sander Groen in ‘t Woud
- Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands
- Radboudumc Amalia Children's Hospital, Department of Paediatric Nephrology, Nijmegen, The Netherlands
| | | | - Iris A L M van Rooij
- Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands
| | - Wout F J Feitz
- Radboudumc Amalia Children's Hospital, Division of Pediatric Urology, Department of Urology, Nijmegen, The Netherlands
| | - Nel Roeleveld
- Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands
| | - Michiel F Schreuder
- Radboudumc Amalia Children's Hospital, Department of Paediatric Nephrology, Nijmegen, The Netherlands
| | - Loes F M van der Zanden
- Radboud University Medical Center, Department for Health Evidence, Nijmegen, The Netherlands
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Liu Y, Yue L, Chang L. Maternal Gestational Diabetes Mellitus and Congenital Heart Disease in Offspring: A Meta-Analysis. Horm Metab Res 2024. [PMID: 38307090 DOI: 10.1055/a-2238-1710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2024]
Abstract
Maternal diabetes has been related to an increased risk of congenital heart disease (CHD) in offspring. However, inconsistent results were retrieved for studies evaluating the association between gestational diabetes mellitus (GDM) and CHD in offspring. We therefore performed a systematic review and meta-analysis for comprehensive investigation. Observational studies were identified by searching PubMed, Embase, and Web of Science according to the aim of the meta-analysis. A randomized-effects model was used to pool the data by incorporating the influence of potential heterogeneity. Twenty-three observational studies, involving 46953078 mother-child pairs, were available for the meta-analysis. Among them, 2131800 mothers were diagnosed as GDM and 214379 newborns had CHD. Overall, maternal GDM was associated with a higher incidence of CHD in offspring [odds ratio (OR): 1.32, 95% confidence interval (CI): 1.21 to 1.45, p<0.001; I2=62%]. Sensitivity analysis limited to studies with adjustment of maternal age and other potential confounding factors showed similar results (OR: 1.40, 95% CI: 1.30 to 1.51, p<0.001; I2=47%). Subgroup analysis suggested that the association between maternal GDM and CHD in offspring was not significantly affected by methods for diagnosis of GDM, methods for confirmation of CHD, or study quality scores (p for subgroup difference all>0.05). Subsequent analysis according to types of CHD showed that maternal GDM was associated with higher risks of atrial septal defect, ventricular septal defect, and Tetralogy of Fallot. Maternal GDM may be associated with a higher risk of CHD in offspring.
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Affiliation(s)
- Yun Liu
- Obstetrical Department, Xiangyang Central Hospital, Xiangyang City, China
| | - Lina Yue
- Department of Pediatrics, Xiangyang Maternal and Child Health Hospital, Xiangyang City, China
| | - Li Chang
- Department of Pediatrics, Xiangyang Maternal and Child Health Hospital, Xiangyang City, China
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Peng Z, Wei J, Chen B, Huang X, Song P, Liang L, He J, Feng B, Que T, Qin J, Xie Y, Qiu X, Wei H, He S. Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors. Front Pediatr 2023; 11:1165477. [PMID: 37547102 PMCID: PMC10401059 DOI: 10.3389/fped.2023.1165477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 07/05/2023] [Indexed: 08/08/2023] Open
Abstract
Background Birth defects (BDs) are associated with many potential risk factors, and its causes are complex. Objectives This study aimed to explore the epidemiological characteristics of BDs in Guangxi of China and the associated risk factors of BDs. Methods BDs data of perinatal infants (PIs) were obtained from the Guangxi birth defects monitoring network between 2016 and 2020. Univariate Poisson regression was used to calculate the prevalence-rate ratios (PRR) to explore the changing trends of BDs prevalence by year and the correlation between the regarding of characteristics of BDs (including infant gender, maternal age, and quarter) and BDs. Clinical characteristics of PIs with BDs and general characteristics of their mothers were documented, and Spearman correlation analysis was used to explore the potential associated risk factors of BDs. Results Between 2016 and 2020, 44,146 PIs with BDs were monitored, with an overall BDs prevalence of 121.71 (95% CI: 120.58-122.84) per 10,000 PIs, showing a significant increase trend (PRR = 1.116, 95% CI: 1.108-1.123), especially the prevalence of congenital heart defects (CHDs) that most significantly increased (PRR = 1.300, 95% CI: 1.283-1.318). The 10 most common BDs were CHDs, polydactyly, congenital talipes equinovarus, other malformation of external ear, syndactyly, hypospadias, cleft lip with cleft palate, cleft lip, hemoglobin Bart's hydrops fetalis syndrome (BHFS), and congenital atresia of the rectum and anus. BDs were positively correlated with pregnant women's age (R = 0.732, P < 0.01) and education level (R = 0.586, P < 0.05) and having pre-gestational diabetes mellitus (PGDM)/gestational diabetes mellitus (GDM) (R = 0.711, P < 0.01), while when the pregnant women had a family history of a dead fetus (R = -0.536, P < 0.05) and a birth of a fetus with BDs (R = -0.528, P < 0.05) were negatively correlated with BDs. Conclusion A significant increase in the prevalence of BDs was detected between 2016 and 2020 in Guangxi, especially the prevalence of CHDs that most significantly increased. Older maternal age, higher maternal education level, and having PGDM before pregnancy or GDM in early pregnancy were the risk factors for BDs.
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Affiliation(s)
- Zhenren Peng
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Jie Wei
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Biyan Chen
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Xiuning Huang
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Pengshu Song
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Lifang Liang
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Jiajia He
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Baoying Feng
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Ting Que
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Jie Qin
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Yu'an Xie
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Xiaoxia Qiu
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Hongwei Wei
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Sheng He
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
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Perera N, Rudland VL, Simmons D, Price SAL. Folate Supplementation in Women with Pre-Existing Diabetes. Nutrients 2023; 15:nu15081879. [PMID: 37111098 PMCID: PMC10145371 DOI: 10.3390/nu15081879] [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: 03/20/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
Folate supplementation in the periconceptual period is the standard of care for the prevention of neural tube defects. To support dietary folate intake, some countries have introduced mandatory folic acid fortification of food products. Robust evidence supports the additional use of a low-dose folic acid supplement (0.4 mg/day) in all women from 2-3 months preconception until the end of the 12th week of gestation. For women with pre-existing diabetes, high-dose folic acid supplementation (5 mg/day) is recommended in some, but not all international guidelines. The recommendation is made based on consensus opinion and reflects the increased risk of neural tube defects in pregnant women with pre-existing diabetes. However, there is limited evidence to clarify the high-risk groups that benefit from high-dose folic acid versus those that do not. There are also some data to suggest that high-dose folic acid may be harmful to mothers and offspring, although this issue remains controversial. This narrative review explores the evidence that supports the recommendation for women with pre-existing diabetes to take high-dose folic acid in the periconceptual period. It explores the potential benefits of high-dose supplemental folate beyond the prevention of neural tube defects, and also the potential adverse impacts of high-dose folate use. These topics are considered with a specific focus on the issues that are pertinent to women with pre-existing diabetes. Based on the available evidence, a pragmatic approach to the use of folic acid supplements in women with pre-existing diabetes during the periconception period is suggested. The need for comprehensive preconception care that optimises glycaemic control and addresses other modifiable risk factors before pregnancy is emphasized.
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Affiliation(s)
- Nayomi Perera
- Department of Obstetric Medicine, Royal Women's Hospital, Flemington Rd, North Melbourne, VIC 3051, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Grattan St, Parkville, VIC 3010, Australia
| | - Victoria L Rudland
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - David Simmons
- Macarthur Clinical School, Western Sydney University, Campbelltown, NSW 2560, Australia
| | - Sarah A L Price
- Department of Obstetric Medicine, Royal Women's Hospital, Flemington Rd, North Melbourne, VIC 3051, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Grattan St, Parkville, VIC 3010, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Grattan St, Parkville, VIC 3010, Australia
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7
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Yu Z, Liu Z, Ravichandran V, Lami B, Gu M. Endocardium in Hypoplastic Left Heart Syndrome: Implications from In Vitro Study. J Cardiovasc Dev Dis 2022; 9:jcdd9120442. [PMID: 36547439 PMCID: PMC9786329 DOI: 10.3390/jcdd9120442] [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: 11/28/2022] [Revised: 12/06/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Endocardium lines the inner layer of the heart ventricle and serves as the source of valve endothelial cells and interstitial cells. Previously, endocardium-associated abnormalities in hypoplastic left heart syndrome (HLHS) have been reported, including endocardial fibroelastosis (EFE) and mitral and aortic valve malformation. However, few mechanistic studies have investigated the molecular pathological changes in endocardial cells. Recently, the emergence of a powerful in vitro system-induced pluripotent stem cells (iPSCs)-was applied to study various genetic diseases, including HLHS. This review summarized current in vitro studies in understanding the endocardial pathology in HLHS, emphasizing new findings of the cellular phenotypes and underlying molecular mechanisms. Lastly, a future perspective is provided regarding the better recapitulation of endocardial phenotypes in a dish.
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Affiliation(s)
- Zhiyun Yu
- Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Center for Stem Cell and Organoid Medicine, CuSTOM, Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Ziyi Liu
- Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Center for Stem Cell and Organoid Medicine, CuSTOM, Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Vidhya Ravichandran
- Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Center for Stem Cell and Organoid Medicine, CuSTOM, Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Bonny Lami
- Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Center for Stem Cell and Organoid Medicine, CuSTOM, Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Mingxia Gu
- Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Center for Stem Cell and Organoid Medicine, CuSTOM, Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
- Correspondence:
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