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Tallarek AC, Sirico A, Goletzke J, Pagenkemper M, Huhn E, Hansen G, Stahl F, Arck PC, Diemert A. Placental volume as a potential early marker for metabolic pertubations during pregnancy. J Reprod Immunol 2025; 168:104456. [PMID: 39970615 DOI: 10.1016/j.jri.2025.104456] [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: 08/08/2024] [Revised: 01/03/2025] [Accepted: 02/11/2025] [Indexed: 02/21/2025]
Abstract
The placenta has a central function in fetal glucose supply and placental volume has received rising awareness as a potential predicting factor for adverse pregnancy outcomes. We aimed to examine whether placental volume is a prognostic marker for metabolic perturbations affecting both mother and child. Data from 100 women participating in a longitudinal cohort study of healthy pregnant women were obtained. Placental volume was assessed via transabdominal ultrasound at gestational weeks 12-14. Additional ultrasound measurements were conducted at gestational weeks 23-25, 28-30, and 34-36 to assess fetal anthropometry. HbA1c was measured in first trimester blood samples. Both cross-sectional and prospective associations between first trimester placental volume and selected fetal and maternal parameters were examined using multivariable linear regression models. Interactions by gender were observed for associations with HbA1c, anterior abdominal wall thickness (AAWT), gestational weight gain and estimated fetal weight. A higher first trimester placental volume was related to higher HbA1c levels in the first trimester, higher AAWT measures in the third trimester, and greater gestational weight gain in women carrying a male fetus only (all p = 0.02). In women carrying a female fetus, a positive association was observed between placental volume and estimated fetal weight at gestational week 34-36 (p = 0.045). None of the other maternal or fetal parameters were related to placental volume (p ≥ 0.1). Our results indicate first trimester placental volume to be a potential prognostic factor for maternal glucose metabolism and both fetal and maternal anthropometric perturbations particularly for those mothers carrying a male fetus.
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Affiliation(s)
- Ann-Christin Tallarek
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
| | - Angelo Sirico
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Janina Goletzke
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Mirja Pagenkemper
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Evelyn Huhn
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Gudula Hansen
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Felix Stahl
- Center for Diagnostics, Clinical Chemistry and Laboratory Medicine, University Medical-Centre Hamburg Eppendorf, Hamburg, Germany
| | - Petra Clara Arck
- Division for Experimental Feto-Maternal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; Hamburg Center for Translational Immunology, Hamburg, Germany
| | - Anke Diemert
- Department of Obstetrics and Fetal Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
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Klöppel E, Cruz LL, Prado-Souza LFL, Eckhardt A, Corrente JE, Dos Santos DC, Justulin LA, Rodrigues T, Volpato GT, Damasceno DC. Insulin signaling and mitochondrial phenotype of skeletal muscle are programmed in utero by maternal diabetes. Mol Cell Endocrinol 2024; 588:112199. [PMID: 38552944 DOI: 10.1016/j.mce.2024.112199] [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: 11/13/2023] [Revised: 02/29/2024] [Accepted: 03/05/2024] [Indexed: 04/06/2024]
Abstract
Maternal diabetes may influence glucose metabolism in adult offspring, an area with limited research on underlying mechanisms. Our study explored the impact of maternal hyperglycemia during pregnancy on insulin resistance development. Adult female Sprague-Dawley rats from control and diabetic mothers were mated, and their female offspring were monitored for 150 days. The rats were euthanized for blood and muscle samples. Maternal diabetes led to heightened insulin levels, increased HOMA-IR, elevated triglycerides, and a raised TyG index in adult offspring. Muscle samples showed a decreased protein expression of AMPK, PI3K, MAPK, DRP1, and MFF. These changes induced intergenerational metabolic programming in female pups, resulting in insulin resistance, dyslipidemia, and glucose intolerance by day 150. Findings highlight the offspring's adaptation to maternal hyperglycemia, involving insulin resistance, metabolic alterations, the downregulation of insulin signaling sensors, and disturbed mitochondrial morphology. Maintaining maternal glycemic control emerges as crucial in mitigating diabetes-associated disorders in adult offspring.
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Affiliation(s)
- Eduardo Klöppel
- Laboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Gynecology and Obtetrics, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, 18618-689, São Paulo State, Brazil; Laboratory of Translational Metabolism, Institute of Physiology (IPHYS) of the Czech Academy of Sciences (CAS), 142 00, Prague, Czech Republic
| | - Larissa L Cruz
- Laboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Gynecology and Obtetrics, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, 18618-689, São Paulo State, Brazil; Laboratory of System Physiology and Reproductive Toxicology, Institute of Biological and Health Sciences, Federal University of Mato Grosso (UFMT), Barra do Garças, 78600-000, Mato Grosso State, Brazil
| | - Laura F L Prado-Souza
- Center for Natural and Human Sciences (CCNH), Federal University of ABC (UFABC), Santo André, 09210-580, São Paulo State, Brazil
| | - Adam Eckhardt
- Laboratory of Translational Metabolism, Institute of Physiology (IPHYS) of the Czech Academy of Sciences (CAS), 142 00, Prague, Czech Republic
| | - José E Corrente
- Research Support Office, Botucatu Medical School, Sao Paulo State University (UNESP), 18618-689, São Paulo State, Brazil
| | - Daniela C Dos Santos
- Department of Structural and Functional Biology, Institute of Biosciences, Sao Paulo State University (UNESP), 18618-689, São Paulo State, Brazil
| | - Luís A Justulin
- Department of Structural and Functional Biology, Institute of Biosciences, Sao Paulo State University (UNESP), 18618-689, São Paulo State, Brazil
| | - Tiago Rodrigues
- Center for Natural and Human Sciences (CCNH), Federal University of ABC (UFABC), Santo André, 09210-580, São Paulo State, Brazil
| | - Gustavo T Volpato
- Laboratory of System Physiology and Reproductive Toxicology, Institute of Biological and Health Sciences, Federal University of Mato Grosso (UFMT), Barra do Garças, 78600-000, Mato Grosso State, Brazil
| | - Débora C Damasceno
- Laboratory of Experimental Research on Gynecology and Obstetrics, Postgraduate Course on Gynecology and Obtetrics, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, 18618-689, São Paulo State, Brazil.
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da Silva Rodrigues F, Jantsch J, de Farias Fraga G, Luiza de Camargo Milczarski V, Silva Dias V, Scheid C, de Oliveira Merib J, Giovernardi M, Padilha Guedes R. Cannabidiol improves maternal obesity-induced behavioral, neuroinflammatory and neurochemical dysfunctions in the juvenile offspring. Brain Behav Immun 2024; 119:301-316. [PMID: 38608740 DOI: 10.1016/j.bbi.2024.04.010] [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: 01/18/2024] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024] Open
Abstract
Maternal obesity is associated with an increased risk of psychiatric disorders such as anxiety, depression, schizophrenia and autism spectrum disorder in the offspring. While numerous studies focus on preventive measures targeting the mothers, only a limited number provide practical approaches for addressing the damages once they are already established. We have recently demonstrated the interplay between maternal obesity and treatment with cannabidiol (CBD) on hypothalamic inflammation and metabolic disturbances, however, little is known about this relationship on behavioral manifestations and neurochemical imbalances in other brain regions. Therefore, here we tested whether CBD treatment could mitigate anxiety-like and social behavioral alterations, as well as neurochemical disruptions in both male and female offspring of obese dams. Female Wistar rats were fed a cafeteria diet for 12 weeks prior to mating, and during gestation and lactation. Offspring received CBD (50 mg/kg) from weaning for 3 weeks. Behavioral tests assessed anxiety-like manifestations and social behavior, while neuroinflammatory and neurochemical markers were evaluated in the prefrontal cortex (PFC) and hippocampus. CBD treatment attenuated maternal obesity-induced anxiety-like and social behavioral alterations, followed by rescuing effects on imbalanced neurotransmitter and endocannabinoid concentrations and altered expression of glial markers, CB1, oxytocin and dopamine receptors, with important differences between sexes. Overall, the findings of this study provide insight into the signaling pathways for the therapeutic benefits of CBD on neuroinflammation and neurochemical imbalances caused by perinatal maternal obesity in the PFC and the hippocampus, which translates into the behavioral manifestations, highlighting the sexual dimorphism encompassing both the transgenerational effect of obesity and the endocannabinoid system.
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Affiliation(s)
- Fernanda da Silva Rodrigues
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jeferson Jantsch
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Gabriel de Farias Fraga
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Vitória Luiza de Camargo Milczarski
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Victor Silva Dias
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Camila Scheid
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Josias de Oliveira Merib
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil
| | - Marcia Giovernardi
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil; Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, 90050-170 Rio Grande do Sul, Brazil
| | - Renata Padilha Guedes
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), 90050-170, Porto Alegre, Rio Grande do Sul, Brazil; Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, 90050-170 Rio Grande do Sul, Brazil.
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Yu HT, Xu WH, Gong JY, Chen YF, He Y, Chen ST, Wu YY, Liu GL, Zhang HY, Xie L. Effect of high-fat diet on the fatty acid profiles of brain in offspring mice exposed to maternal gestational diabetes mellitus. Int J Obes (Lond) 2024; 48:849-858. [PMID: 38341506 DOI: 10.1038/s41366-024-01486-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 01/11/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVE Fatty acids play a critical role in the proper functioning of the brain. This study investigated the effects of a high-fat (HF) diet on brain fatty acid profiles of offspring exposed to maternal gestational diabetes mellitus (GDM). METHODS Insulin receptor antagonist (S961) and HF diet were used to establish the GDM animal model. Brain fatty acid profiles of the offspring mice were measured by gas chromatography at weaning and adulthood. Protein expressions of the fatty acid transport pathway Wnt3/β-catenin and the target protein major facilitator superfamily domain-containing 2a (MFSD2a) were measured in the offspring brain by Western blot. RESULTS Maternal GDM increased the body weight of male offspring (P < 0.05). In weaning offspring, factorial analysis showed that maternal GDM increased the monounsaturated fatty acid (MUFA) percentage of the weaning offspring's brain (P < 0.05). Maternal GDM decreased offspring brain arachidonic acid (AA), but HF diet increased brain linoleic acid (LA) (P < 0.05). Maternal GDM and HF diet reduced offspring brain docosahexaenoic acid (DHA), and the male offspring had higher DHA than the female offspring (P < 0.05). In adult offspring, factorial analysis showed that HF diet increased brain MUFA in offspring, and male offspring had higher brain MUFA than female offspring (P < 0.05). The HF diet increased brain LA in the offspring. Male offspring had higher level of AA than female offspring (P < 0.05). HF diet reduced DHA in the brains of female offspring. The brain protein expression of β-catenin and MFSD2a in both weaning and adult female offspring was lower in the HF + GDM group than in the CON group (P < 0.05). CONCLUSIONS Maternal GDM increased the susceptibility of male offspring to HF diet-induced obesity. HF diet-induced adverse brain fatty acid profiles in both male and female offspring exposed to GDM.
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Affiliation(s)
- Hai-Tao Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Wen-Hui Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Jia-Yu Gong
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Yi-Fei Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Yuan He
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Shu-Tong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Yan-Yan Wu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Guo-Liang Liu
- Experimental Teaching Center for Preventive Medicine, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Hai-Ying Zhang
- Experimental Teaching Center for Radiation Medicine, School of Public Health, Jilin University, Changchun, 130021, Jilin, China
| | - Lin Xie
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
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Xue L, Sun J, Sun Y, Wang Y, Zhang K, Fan M, Qian H, Li Y, Wang L. Maternal Brown Rice Diet during Pregnancy Promotes Adipose Tissue Browning in Offspring via Reprogramming PKA Signaling and DNA Methylation. Mol Nutr Food Res 2024:e2300861. [PMID: 38566521 DOI: 10.1002/mnfr.202300861] [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: 12/09/2023] [Revised: 02/23/2024] [Indexed: 04/04/2024]
Abstract
SCOPE Brown rice, the most consumed food worldwide, has been shown to possess beneficial effects on the prevention of metabolic diseases. However, the way in which maternal brown rice diet improves metabolism in offspring and the regulatory mechanisms remains unclear. The study explores the epigenetic regulation of offspring energy metabolic homeostasis by maternal brown rice diet during pregnancy. METHODS AND RESULTS Female mice are fed brown rice during pregnancy, and then body phenotypes, the histopathological analysis, and adipose tissues biochemistry assay of offspring mice are detected. It is found that maternal brown rice diet significantly reduces body weight and fat mass, increases energy expenditure and heat production in offspring. Maternal brown rice diet increases uncoupling protein 1 (UCP1) protein level and upregulates the mRNA expression of thermogenic genes in adipose tissues. Mechanistically, protein kinase A (PKA) signaling is likely responsible in the induced thermogenic program in offspring adipocytes, and the progeny adipocytes browning program is altered due to decreased level of DNA methyltransferase 1 protein and hypomethylation of the transcriptional coregulator positive regulatory domain containing 16 (PRDM16). CONCLUSIONS These findings demonstrate that maternal brown rice during pregnancy improves offspring mice metabolic homeostasis via promoting adipose browning, and its mechanisms may be mediated by DNA methylation reprogramming.
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Affiliation(s)
- Lamei Xue
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Juan Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Yujie Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Yu Wang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Kuiliang Zhang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Mingcong Fan
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Haifeng Qian
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Yan Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Li Wang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
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Peña A, Miller AM, Campbell AG, Holden RJ, Scifres CM. Mapping Lifestyle Interventions for Gestational Diabetes Prevention: A Scoping Review. Curr Diab Rep 2024; 24:74-83. [PMID: 38367172 DOI: 10.1007/s11892-024-01535-5] [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] [Accepted: 02/01/2024] [Indexed: 02/19/2024]
Abstract
PURPOSE OF REVIEW The purpose of this study was to conduct a scoping review to map intervention, sample, and physiologic measurement characteristics of lifestyle interventions for gestational diabetes mellitus (GDM) prevention. RECENT FINDINGS A total of 19 studies met selection criteria from 405 articles screened (PubMed, Web of Science). No studies were US-based (47% multi-site), and all were delivered in clinical settings. The most targeted nutrition components were low carbohydrate intake (sugar rich foods/added sugars, low glycemic index), low fat intake (mainly low-fat meat, dairy, and saturated fat), and increased fruits and vegetables. Many studies promoted 150 min/week moderate-intensity physical activity. Only two studies provided supervised physical activity sessions. Dietitians and nurses were the most common implementers. Samples were characterized as adults with obesity (mean age 31 yr, BMI 31 kg/m2). Asian populations were predominantly studied. Four studies used theoretical frameworks (75% of which used Social Cognitive Theory). GDM diagnostic criteria set forth by the American Diabetes Association were the most widely used. Insulin sensitivity was commonly assessed via fasting indices. There was a lack of multi-disciplinary, multi-level, and theory-based lifestyle interventions for reducing GDM risk. Addressing these gaps and prioritizing high-risk populations in the US with measurement of traditional and novel biomarkers will advance the field.
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Affiliation(s)
- Armando Peña
- Department of Health & Wellness Design, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA.
| | - Alison M Miller
- Department of Health & Wellness Design, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA
| | - Angela G Campbell
- Applied Health Sciences, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA
| | - Richard J Holden
- Department of Health & Wellness Design, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA
| | - Christina M Scifres
- Department of Obstetrics and Gynecology, School of Medicine, Indiana University, Indianapolis, IN, USA
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Thøgersen M, Nielsen KK, Wibaek R, Damm P, Jensen RB, Nielsen H, Maindal HT, Andersen GS. Body Mass Index Trajectories in Children Exposed to Gestational Diabetes in Utero: A Nationwide Register-based Study. J Clin Endocrinol Metab 2023; 108:e1551-e1559. [PMID: 37379575 DOI: 10.1210/clinem/dgad384] [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: 05/10/2023] [Revised: 06/19/2023] [Accepted: 06/26/2023] [Indexed: 06/30/2023]
Abstract
CONTEXT Children exposed to gestational diabetes mellitus (GDM) in utero are at high risk of developing overweight and obesity, but their postnatal growth trajectories and risk profiles remain unclear. OBJECTIVE We aimed to identify distinct body mass index (BMI) trajectories from birth to 10 years of age in children exposed to GDM and to explore their associations with infant and maternal characteristics. METHODS This nationwide cohort study linked data from Danish registries on 15 509 children exposed to GDM in utero, born in Denmark from January 2008 to October 2019. We applied latent class trajectory modeling to identify distinct BMI trajectories. Associations of BMI trajectories with infant and maternal characteristics were analyzed using multiple linear regression. RESULTS We identified 3 distinct BMI trajectories characterized by a "normal" (60%), a "late accelerating" (28%) and an "early accelerating" (12%) BMI trajectory, the 2 latter at risk of overweight and obesity, respectively, at age 10 years, relative to World Health Organization child growth standards. Children in the "late accelerating" BMI trajectory were more often born large for gestational age (P < .001). More children in the "early accelerating" BMI trajectory were boys, born small for gestational age, and had mothers with a higher pre-pregnancy BMI compared to the other groups (P < .001). CONCLUSION Children exposed to GDM in utero differ widely in their BMI trajectory. The detection of risk profiles based on early BMI growth and infant and maternal characteristics provides an opportunity for future targeted care and prevention.
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Affiliation(s)
- Maja Thøgersen
- Health Promotion Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark
- Department of Public Health, Faculty of Health, Aarhus University, 8000 Aarhus, Denmark
| | - Karoline Kragelund Nielsen
- Health Promotion Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark
| | - Rasmus Wibaek
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark
| | - Peter Damm
- Center for Pregnant Women with Diabetes, Department of Obstetrics, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Rikke Beck Jensen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Department of Growth and Reproduction, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark
| | - Helene Nielsen
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark
| | - Helle Terkildsen Maindal
- Health Promotion Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark
- Department of Public Health, Faculty of Health, Aarhus University, 8000 Aarhus, Denmark
| | - Gregers Stig Andersen
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark
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Muñoz-Islas E, Vargas-Balderas DI, Hernandez I, Vazquez-Mora JA, Acosta-González RI, Jiménez-Andrade JM. Long-term effects of streptozotocin-induced gestational diabetes mellitus on mechanical sensitivity and intraepidermal nerve fibers in female and male mice offspring. Neurosci Lett 2023; 812:137402. [PMID: 37507046 DOI: 10.1016/j.neulet.2023.137402] [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: 03/23/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023]
Abstract
While the long-term complications of gestational diabetes mellitus (GDM) in the cardiovascular, endocrine, and central nervous systems from offspring have been widely studied, less is known about the long-term outcomes of GDM on the peripheral nervous system. Thus, here we assessed the mechanical sensitivity and density of nerve fibers of the hind paw from middle-aged offspring born from dams with GDM. GDM was induced by the intraperitoneal administration of streptozotocin (STZ) in mouse dams. Mechanical sensitivity in male and female offspring was bi-weekly evaluated from week 18 to week 40 of age. At 40 weeks old, offspring were sacrificed and glabrous hind paw skin was processed for immunohistochemistry to determine the density of intraepidermal CGRP and PGP9.5 positive nerve fibers. Offspring mice born from STZ-treated dams had significantly greater mechanical sensitivity from 18 to 40 weeks of age compared to offspring born from vehicle-treated dams (control group). The density of intraepidermal CGRP+ and PGP9.5+ nerve fibers were significantly lower in the hind paw skin of female but not male offspring, born from STZ-treated dams versus the control group. These results suggest that GDM has long-term sex-dependent complications on the nociceptive system. Further studies are necessary to elucidate the mechanisms underlying the GDM-induced long-term consequences.
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Affiliation(s)
- Enriqueta Muñoz-Islas
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Reynosa, Tamaulipas, Mexico.
| | | | - Ivanna Hernandez
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Reynosa, Tamaulipas, Mexico
| | - Juan Antonio Vazquez-Mora
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Reynosa, Tamaulipas, Mexico
| | - Rosa Issel Acosta-González
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Reynosa, Tamaulipas, Mexico
| | - Juan Miguel Jiménez-Andrade
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Reynosa, Tamaulipas, Mexico
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Rodrigues FDS, Jantsch J, Fraga GDF, Dias VS, Eller S, De Oliveira TF, Giovenardi M, Guedes RP. Cannabidiol treatment improves metabolic profile and decreases hypothalamic inflammation caused by maternal obesity. Front Nutr 2023; 10:1150189. [PMID: 36969815 PMCID: PMC10033544 DOI: 10.3389/fnut.2023.1150189] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 02/24/2023] [Indexed: 03/11/2023] Open
Abstract
IntroductionThe implications of maternal overnutrition on offspring metabolic and neuroimmune development are well-known. Increasing evidence now suggests that maternal obesity and poor dietary habits during pregnancy and lactation can increase the risk of central and peripheral metabolic dysregulation in the offspring, but the mechanisms are not sufficiently established. Furthermore, despite many studies addressing preventive measures targeted at the mother, very few propose practical approaches to treat the damages when they are already installed.MethodsHere we investigated the potential of cannabidiol (CBD) treatment to attenuate the effects of maternal obesity induced by a cafeteria diet on hypothalamic inflammation and the peripheral metabolic profile of the offspring in Wistar rats.ResultsWe have observed that maternal obesity induced a range of metabolic imbalances in the offspring in a sex-dependant manner, with higher deposition of visceral white adipose tissue, increased plasma fasting glucose and lipopolysaccharides (LPS) levels in both sexes, but the increase in serum cholesterol and triglycerides only occurred in females, while the increase in plasma insulin and the homeostatic model assessment index (HOMA-IR) was only observed in male offspring. We also found an overexpression of the pro-inflammatory cytokines tumor necrosis factor-alpha (TNFα), interleukin (IL) 6, and interleukin (IL) 1β in the hypothalamus, a trademark of neuroinflammation. Interestingly, the expression of GFAP, a marker for astrogliosis, was reduced in the offspring of obese mothers, indicating an adaptive mechanism to in utero neuroinflammation. Treatment with 50 mg/kg CBD oil by oral gavage was able to reduce white adipose tissue and revert insulin resistance in males, reduce plasma triglycerides in females, and attenuate plasma LPS levels and overexpression of TNFα and IL6 in the hypothalamus of both sexes.DiscussionTogether, these results indicate an intricate interplay between peripheral and central counterparts in both the pathogenicity of maternal obesity and the therapeutic effects of CBD. In this context, the impairment of internal hypothalamic circuitry caused by neuroinflammation runs in tandem with the disruptions of important metabolic processes, which can be attenuated by CBD treatment in both ends.
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Affiliation(s)
- Fernanda da Silva Rodrigues
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Jeferson Jantsch
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Gabriel de Farias Fraga
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Victor Silva Dias
- Undergraduate Program in Biomedical Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Sarah Eller
- Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Tiago Franco De Oliveira
- Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Márcia Giovenardi
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
| | - Renata Padilha Guedes
- Graduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil
- *Correspondence: Renata Padilha Guedes,
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Tranidou A, Dagklis T, Magriplis E, Apostolopoulou A, Tsakiridis I, Chroni V, Tsekitsidi E, Kalaitzopoulou I, Pazaras N, Chourdakis M. Pre-Pregnancy Adherence to Mediterranean Diet and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study in Greece. Nutrients 2023; 15:nu15040848. [PMID: 36839206 PMCID: PMC9967881 DOI: 10.3390/nu15040848] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Gestational Diabetes Mellitus (GDM) is a growing epidemic affecting pregnant women and their offspring. This study aimed to identify the relationship between adherence to a Mediterranean diet (MD) before conception and the risk of GDM in a contemporary Greek pregnant cohort. A prospective cohort of pregnant women was recruited at the routine first trimester visit. Nutritional intake was evaluated using a population specific validated food frequency questionnaire (FFQ). Pre-pregnancy adherence to MD was derived using two different scoring systems, the Mediterranean diet index score (MDS), and a modified version. Adjusted odds ratios (aOR) were computed using multiple logistic regression models for each score derived. Of 743 participating women, 112 (15.1%) developed GDM. The MDS index showed that scoring 5-9 points (high adherence) was associated with a lower GDM incidence (aOR: 0.57 95% CI (0.32, 0.90), p = 0.02), while the modified MDS index showed no significant association for any level of adherence. Pre-pregnancy consumption of "meat and derivatives" and "fatty meat and processed meat" was associated with a higher risk of GDM, with both scoring systems (p = 0.008, p = 0.004, respectively). A higher adherence to a MD pre-pregnancy, especially with less meat consumption, may have a protective effect on the occurrence of GDM.
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Affiliation(s)
- Antigoni Tranidou
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
| | - Themistoklis Dagklis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
- Correspondence:
| | - Emmanuella Magriplis
- Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
| | - Aikaterini Apostolopoulou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Ioannis Tsakiridis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
| | - Violeta Chroni
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Eirini Tsekitsidi
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Ioustini Kalaitzopoulou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Nikolaos Pazaras
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Michail Chourdakis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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11
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Dai FC, Wang P, Li Q, Zhang L, Yu LJ, Wu L, Tao RX, Zhu P. Mediterranean diet during pregnancy and infant neurodevelopment: A prospective birth cohort study. Front Nutr 2023; 9:1078481. [PMID: 36726814 PMCID: PMC9885498 DOI: 10.3389/fnut.2022.1078481] [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: 10/24/2022] [Accepted: 12/28/2022] [Indexed: 01/18/2023] Open
Abstract
Background Embryonic neural development is associated with intrauterine nutritional status. However, few cohort studies estimated the relationship between maternal dietary patterns during pregnancy and offspring's early neurodevelopment. Objective To examine the impact of the Mediterranean diet (MD) during pregnancy on infant neurodevelopment, including the potential mediating role of cord blood metabolites. Methods Among 1,471 mother-child pairs in a prospective birth cohort study in Hefei, China, we investigated the associations between maternal MD score [calculated based on a validated food frequency questionnaire (FFQ)] and child neurodevelopment at infancy [assessed using Ages and Stages Questionnaires, Third Edition (ASQ-3)]. The cord blood metabolic markers (including C-peptide, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, total cholesterol, and triglycerides) were measured. Results The MD score was negatively associated with communication domain developmental delays in infants [relative risk (RR) with 95% CI: 0.34 (0.16, 0.72)]. Compared with girls, boys born from mothers with lower MD scores during pregnancy were inclined to the failure of the communication domain [RRs with 95% CI for boys: 0.34 (0.14, 0.84); for girls: 0.26 (0.06, 1.18)]. Mediation analysis showed that the association between the maternal MD score and failure of communication domain mediated by C-peptide was 19.4% in boys but not in girls. Conclusion Adhering to the MD during pregnancy was associated with a decreased risk of poor neurodevelopment, possibly mediated by lower levels of cord blood C-peptide.
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Affiliation(s)
- Fei-cai Dai
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Peng Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Qiong Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Li-jun Yu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Lin Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Rui-xue Tao
- Department of Gynecology and Obstetrics, Hefei First People's Hospital, Hefei, China,*Correspondence: Rui-xue Tao ✉
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China,Peng Zhu ✉
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12
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Brand C, Fochesatto CF, Villa-González E, Silveira JFDC, Dias AF, Quevedo Alves F, Gaya AR, Renner JDP, Reuter CP. From pregnancy to breastfeeding: adequate maternal body mass index is essential to prevent a high body mass index in your children. J Pediatr Endocrinol Metab 2022; 35:1033-1040. [PMID: 35822721 DOI: 10.1515/jpem-2022-0174] [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: 03/29/2022] [Accepted: 06/15/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES To verify the associations between prenatal and perinatal factors with offspring body mass index (BMI) and the moderator role of maternal BMI in this relationship. METHODS Cross-sectional study developed with 1,562 children and adolescents aged between 6 and 17 years, as well as their mothers, from southern Brazil. The prenatal and perinatal factors, weight, and height for the calculation of maternal BMI were self-reported. For the calculation of BMI, weight and height of the child/adolescent were measured on an anthropometric scale with a coupled stadiometer. Linear regression models were used for the moderation analysis. All analyzes were adjusted for the mother's and child's age, sex, sexual maturation, skin color/race, and educational level. RESULTS cesarean as type of delivery (β=0.66; 95% CI=0.22 1.04; p=0.002) and pregnancy complications (β=0.60; 95% CI=0.15 1.04; p=0.002) were positively associated with offspring BMI. Schoolchildren who were breastfed for 4-6 months showed -0.56 kg/m2 of BMI (95% CI=-1.06-0.06; p=0.02). Birth weight was also associated with BMI, with low weight being inversely (β=-0.59; 95% CI=-1.03-0.15; p=0.008), while overweight was positively related (β=0.84; 95% CI=0.08 1.60; p=0.02). The moderation analysis indicated a positive interaction between the mother's BMI and cesarean, pregnancy complications, and smoking with the offspring's BMI. On the other hand, there was an inverse association between breastfeeding from 7 to 12 months and the offspring BMI, only in mothers with high BMI. CONCLUSIONS Adequate maternal BMI is essential to prevent a high BMI in their children, especially when considering the influence of prenatal and perinatal risk factors.
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Affiliation(s)
- Caroline Brand
- Graduate Program in Health Promotion, University of Santa Cruz do Sul (UNISC), Santa Cruz do Sul, Rio Grande do Sul, Brazil
| | - Camila Felin Fochesatto
- School of Physical Education, Physiotherapy and Dance, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | | | - João Francisco de Castro Silveira
- Graduate Program in Health Promotion, University of Santa Cruz do Sul (UNISC), Santa Cruz do Sul, Rio Grande do Sul, Brazil.,School of Physical Education, Physiotherapy and Dance, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Arieli Fernandes Dias
- School of Physical Education, Physiotherapy and Dance, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | | | - Anelise Reis Gaya
- School of Physical Education, Physiotherapy and Dance, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Jane Dagmar Pollo Renner
- Graduate Program in Health Promotion, University of Santa Cruz do Sul (UNISC), Santa Cruz do Sul, Rio Grande do Sul, Brazil
| | - Cézane Priscila Reuter
- Graduate Program in Health Promotion, University of Santa Cruz do Sul (UNISC), Santa Cruz do Sul, Rio Grande do Sul, Brazil
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Sex differences in preterm nutrition and growth: the evidence from human milk associated studies. J Perinatol 2022; 42:987-992. [PMID: 35210540 DOI: 10.1038/s41372-022-01354-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 01/25/2022] [Accepted: 02/09/2022] [Indexed: 11/08/2022]
Abstract
Sexual dimorphism of the fetus manifests itself even during pregnancy. Preterm births are more common in pregnancies with male fetuses. Intrauterine and postnatal growth nomograms are sex-specific. The human milk composition in term infants appears to be sex-specific. Early nutrition has sex-specific effects and neurodevelopmental outcomes. A large same-sex twin study suggests that a mother's own milk (MOM) provides sex-specific growth advantages probably related to the calibration of a mother's milk based on her newborn's sex. Formula composition does not vary with infant sex, which may be one reason why body composition data favors the use of MOM over formula. However, given the lack of data on this subject, we need more detailed information on how the sex-specific micronutrients in MOM influence infant well-being. We also need more information to ascertain the sex differences in infants' macronutrient requirements, such as whether preterm females have higher fat requirements and preterm males have higher protein requirements for optimal growth and neurodevelopmental outcomes. This information may also influence milk banking and the use of donor human milk (DBM). Further research may help us determine if we should provide sex-specific DBM to those preterm infants who cannot get their MOM.
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14
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Antoniou MC, Gilbert L, Gross J, Rossel JB, Fumeaux CJF, Vial Y, Puder JJ. Sex-dependent influence of maternal predictors on fetal anthropometry in pregnancies with gestational diabetes mellitus. BMC Pregnancy Childbirth 2022; 22:460. [PMID: 35650561 PMCID: PMC9158189 DOI: 10.1186/s12884-022-04767-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/06/2022] [Indexed: 11/25/2022] Open
Abstract
Background Third trimester fetal anthropometric parameters are known to predict neonatal complications. A better understanding of predictors of adverse fetal parameters might help to personalize the use and frequency of fetal ultrasound. The objectives of this study were: (a) to evaluate the utility of maternal sociodemographic, anthropometric and metabolic predictors to predict 3rd trimester fetal anthropometric parameters in women with gestational diabetes mellitus (GDM), (b) to assess whether the impact of these maternal predictors is fetal sex-dependent, and (c) to provide a risk stratification for markers of fetal overgrowth (fetal weight centile (FWC) and fetal abdominal circumference centile (FACC) depending on prepregnancy BMI and gestational weight gain (GWG) until the 1st GDM visit. Methods This prospective study included 189 women with GDM. Maternal predictors were age, ethnicity, prepregnancy BMI, GWG and excessive weight gain until the 1st GDM visit, fasting, 1-hour and 2-hour blood glucose oral glucose tolerance test values, HbA1c at the 1st visit and medical treatment requirement. Fetal outcomes included FWC, FWC >90% and <10%, FACC, FACC >90% and <10%, at 29 0/7 to 35 6/7 weeks of gestational age. We performed univariate and multivariate regression analyses and probability analyses. Results In multivariate analyses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC. GWG until the 1st GDM visit was associated with FWC, FACC and FACC > 90% (all p ≤ 0.045). Other maternal parameters were not significantly associated with fetal anthropometry in multivariate analyses (all p ≥ 0.054). In female fetuses, only GWG was associated with FACC (p= 0.044). However, in male fetuses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC and GWG with FWC in multivariate analyses (all p ≤ 0.030). In women with a prepregnancy BMI of ≥ 25 kg/m2 and a GWG until the 1st GDM visit ≥ 10.3 kg (mean GWG), the risk for FWC > 90% and FACC > 90% was 5.3 and 4 times higher than in their counterparts. Conclusions A personalized fetal ultrasound surveillance guided by fetal sex, prepregnancy BMI and GWG may be beneficial in reducing adverse fetal and neonatal outcomes. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04767-z.
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Affiliation(s)
- Maria-Christina Antoniou
- Pediatric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
| | - Leah Gilbert
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Justine Gross
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.,Service of Endocrinology, Diabetes and Metabolism, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Jean-Benoît Rossel
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Céline Julie Fischer Fumeaux
- Clinic of Neonatology, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Yvan Vial
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Jardena Jacqueline Puder
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
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15
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Associations of Gestational Diabetes Mellitus and Excessive Gestational Weight Gain with Offspring Obesity Risk. Curr Med Sci 2022; 42:520-529. [PMID: 35486298 DOI: 10.1007/s11596-022-2547-y] [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: 11/18/2020] [Accepted: 05/10/2021] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) and gestational weight gain (GWG) are important risk factors that are known to affect offspring growth, but these outcomes are inconsistent and it remains unknown if both risk factors have a synergetic effect on early childhood growth. The present study aimed to conduct offspring body mass index-for-age Z-scores (BMIZ) trajectories and to evaluate the independent and interactive effect of the status of GDM and excessive GWG on the risks of overweight/obesity from birth to 24 months of age. METHODS A total of 7949 mother-child pairs were enrolled in this study. The weight and length of children were measured at birth, 6, 12, and 24 months of age to calculate BMIZ. RESULTS The status of GDM was positively associated with offspring BMIZ and risk of macrosomia at birth but was not associated with offspring BMIZ or the risks of overweight/obesity at 6, 12, and 24 months of age. In contrast, excessive GWG was positively linked to offspring BMIZ, the stable high BMIZ trajectory pattern, and risks of overweight/obesity in the first 24 months of age. These two risk factors also had a significant synergistic effect on macrosomia at birth, but the interactive effect was only significant in boys during the follow-up years in the sex-stratified analyses. CONCLUSION The maternal GWG was a more pronounced predictor than GDM with relation to BMIZ and risk of overweight/obesity in early childhood. The interactive effect between these risk factors on offspring overweight/obesity may vary by sex.
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16
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Guo M, Ren Q, Yang F, Han T, Du W, Zhao F, Li W, Li J, Feng Y, Zhang Y, Wang S, Wu W. Association between AMPKα1 gene polymorphisms and gestational diabetes in the Chinese population: A case-control study. Diabet Med 2021; 38:e14613. [PMID: 34053110 DOI: 10.1111/dme.14613] [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: 10/27/2020] [Accepted: 05/25/2021] [Indexed: 12/01/2022]
Abstract
AIM The aim is to examine the association between seven candidate single nucleotide polymorphisms in AMPKα1 and gestational diabetes in Chinese people. METHOD We used a matched nested case-control study design, individuals including 334 participants with gestational diabetes and 334 healthy pregnant women. Confirmed 334 gestational diabetes cases and maternal age and district of residence matched controls (1:1) were enrolled. We examined seven candidate single nucleotide polymorphisms in AMPKα1 gene and the risk of gestational diabetes. The associations were estimated in Co-dominant, Dominant, Recessive, and Alleles models. The odds ratios (ORs) and their 95% confidence intervals (95% CI) were estimated by unconditional logistical regression as a measure of the associations between genotypes and gestational diabetes adjusting for maternal age, prepregnancy body mass index (BMI), fetal sex and parity. RESULT At the gene level, we found that AMPKα1 was associated with gestational diabetes (p = 0.008). After adjusting the covariates and multiple comparison correction, AMPKα1 (rsc1002424, rs10053664, rs13361707) polymorphisms were associated with the risk of gestational diabetes. In addition, gestational diabetes was related to the AAGGA haplotype comprising rs1002424, rs2570091, rs10053664, rs13361707 and rs3805486 in the haplotype models (p = 0.011). CONCLUSIONS This study provides evidence that the AMPKα1 genotypes (rs1002424 G/A, rs10053664 A/G, rs13361707 A/G) and the haplotype (AAGGA) are relevant genetic factors in a Chinese population with gestational diabetes.
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Affiliation(s)
- Mengzhu Guo
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Qingwen Ren
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Feifei Yang
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Tianbi Han
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Wenqiong Du
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Feng Zhao
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Wangjun Li
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Jinbo Li
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - YongLiang Feng
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Yawei Zhang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Suping Wang
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Weiwei Wu
- Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
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Wang P, Xie J, Jiao XC, Ma SS, Liu Y, Yin WJ, Tao RX, Hu HL, Zhang Y, Chen XX, Tao FB, Zhu P. Maternal Glycemia During Pregnancy and Early Offspring Development: A Prospective Birth Cohort Study. J Clin Endocrinol Metab 2021; 106:2279-2290. [PMID: 33982055 DOI: 10.1210/clinem/dgab331] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Indexed: 12/18/2022]
Abstract
CONTEXT The association of maternal gestational diabetes mellitus (GDM) with neurodevelopmental outcomes remains controversial and evidence that maternal increasing levels of glucose during pregnancy associated with the risk for impaired neurodevelopment were limited. OBJECTIVE To identify the continuous association of increasing maternal glucose levels with neurodevelopmental disorders in offspring and explore the potential contribution of cord metabolites to this association. METHODS The prospective birth cohort study included 1036 mother-child pairs. Primary predictors were maternal exposure GDM and maternal glucose values at a 75-g oral-glucose-tolerance test at 24 to 28 weeks during pregnancy. Primary neurodevelopmental outcomes at 12 months in offspring were assessed by the Ages and Stages Questionnaires, Third Edition (ASQ-3). RESULTS Maternal GDM was associated with failing the communication domain in offspring in the adjusted models [relative risk (RR) with 95% CI: 1.97 (1.11, 3.52)]. Increasing levels of fasting plasma glucose (FPG), 1-h plasma glucose (1-h PG) and 2-h plasma glucose (2-h PG) with 1 SD change were at higher risks in failing the personal social domain of ASQ-3 [RRs with 95% CI for FPG: 1.49 (1.09, 2.04); for 1-h PG: 1.70 (1.27, 2.29); for 2-h PG: 1.36 (1.01, 1.84)]. The linear association was also demonstrated. Compared with girls, boys exposed to higher maternal glucose levels were inclined to the failure of the personal social domain. Mediation analysis showed the contribution of maternal GDM to failure of communication domain mediated by C-peptide. CONCLUSIONS Maternal glucose levels below those diagnostic of diabetes are continuously associated with impaired neurodevelopment in offspring at 12 months.
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Affiliation(s)
- Peng Wang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
| | - Jun Xie
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
| | - Xue-Chun Jiao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Shuang-Shuang Ma
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Yang Liu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Wan-Jun Yin
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Rui-Xue Tao
- Department of Obstetrics and Gynecology, the First People's Hospital of Hefei City, Hefei, China
| | - Hong-Lin Hu
- Department of endocrinology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ying Zhang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xian-Xia Chen
- Department of Obstetrics and Gynecology, Anhui Women and Child Health Care Hospital, Hefei, China
| | - Fang-Biao Tao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
| | - Peng Zhu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
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Jalali-Farahani S, Amiri P, Lashkari B, Cheraghi L, Hosseinpanah F, Azizi F. Prognostic value of different maternal obesity phenotypes in predicting offspring obesity in a family-based cohort study. BMC Public Health 2021; 21:885. [PMID: 33964905 PMCID: PMC8106828 DOI: 10.1186/s12889-021-10932-4] [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: 11/11/2020] [Accepted: 04/28/2021] [Indexed: 12/12/2022] Open
Abstract
Background Parental weight is studied as an important determinant of childhood obesity; however, obesity-related metabolic abnormalities have been less considered as determinants of childhood obesity. This study aimed to investigate the association between maternal obesity phenotypes and incidence of obesity in their offspring. Methods This longitudinal study was conducted within the framework of the Tehran Lipid and Glucose Study. A total of 2151 non-obese children who had complete parental information were followed for incidence of obesity over a mean of 148.7 ± 34.7 months. Obesity in children was defined using the World Health Organization criteria. Maternal body mass index (BMI) was classified into three categories: normal weight, overweight and obese. Dysmetabolic status was considered as having metabolic syndrome or diabetes. Metabolic syndrome and diabetes were defined according to the Joint Interim Statement and American diabetes association criteria, respectively. Considering maternal BMI categories and metabolic status, six obesity phenotypes were defined as followed: 1) normal weight and normal metabolic status, 2) overweight and normal metabolic status, 3) obese and normal metabolic status, 4) normal weight and dysmetabolic status, 5) overweight and dysmetabolic status, and 6) obese and dysmetabolic status. The association between maternal obesity phenotypes and incidence of obesity in children was studied using Cox proportional regression hazard model. Results In male offspring, the risk of incidence of obesity significantly increased in those with maternal obesity phenotypes including overweight/normal metabolic: 1.75(95% CI: 1.10–2.79), obese/normal metabolic: 2.60(95%CI: 1.51–4.48), overweight/dysmetabolic: 2.34(95%CI: 1.35–4.03) and obese/dysmetabolic: 3.21(95%CI: 1.94–5.03) compared to the normal weight/normal metabolic phenotype. Similarly, in girls, the risk of incidence of obesity significantly increased in offspring with maternal obesity phenotypes including overweight/normal metabolic: 2.39(95%CI: 1.46–3.90), obese/normal metabolic: 3.55(95%CI: 1.94–6.46), overweight/dysmetabolic: 1.92(95%CI: 1.04–3.52) and obese/dysmetabolic: 3.89(95%CI: 2.28–6.64) compared to normal weight/normal metabolic phenotype. However, maternal normal weight/dysmetabolic phenotype did not significantly change the risk of obesity in both male and female offspring. Conclusion Except for normal weight/dysmetabolic phenotype, all maternal obesity phenotypes had significant prognostic values for incidence of offspring obesity with the highest risk for obese/dysmetabolic phenotype. This study provides valuable findings for identifying the first line target groups for planning interventions to prevent childhood obesity. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10932-4.
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Affiliation(s)
- Sara Jalali-Farahani
- Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O.Box: 19395-4763, Tehran, Iran.,Students' Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parisa Amiri
- Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O.Box: 19395-4763, Tehran, Iran.
| | - Bita Lashkari
- Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O.Box: 19395-4763, Tehran, Iran
| | - Leila Cheraghi
- Department of Epidemiology and Biostatistics, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Rahman ML, Feng YCA, Fiehn O, Albert PS, Tsai MY, Zhu Y, Wang X, Tekola-Ayele F, Liang L, Zhang C. Plasma lipidomics profile in pregnancy and gestational diabetes risk: a prospective study in a multiracial/ethnic cohort. BMJ Open Diabetes Res Care 2021; 9:9/1/e001551. [PMID: 33674279 PMCID: PMC7939004 DOI: 10.1136/bmjdrc-2020-001551] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 11/17/2020] [Accepted: 11/29/2020] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Disruption of lipid metabolism is implicated in gestational diabetes (GDM). However, prospective studies on lipidomics and GDM risk in race/ethnically diverse populations are sparse. Here, we aimed to (1) identify lipid networks in early pregnancy to mid-pregnancy that are associated with subsequent GDM risk and (2) examine the associations of lipid networks with glycemic biomarkers to understand the underlying mechanisms. RESEARCH DESIGN AND METHODS This study included 107 GDM cases confirmed using the Carpenter and Coustan criteria and 214 non-GDM matched controls from the National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort, untargeted lipidomics data of 420 metabolites (328 annotated and 92 unannotated), and information on glycemic biomarkers in maternal plasma at visit 0 (10-14 weeks) and visit 1 (15-26 weeks). We constructed lipid networks using weighted correlation network analysis technique. We examined prospective associations of lipid networks and individual lipids with GDM risk using linear mixed effect models. Furthermore, we calculated Pearson's partial correlation for GDM-related lipid networks and individual lipids with plasma glucose, insulin, C-peptide and glycated hemoglobin at both study visits. RESULTS Lipid networks primarily characterized by elevated plasma diglycerides and short, saturated/low unsaturated triglycerides and lower plasma cholesteryl esters, sphingomyelins and phosphatidylcholines were associated with higher risk of developing GDM (false discovery rate (FDR) <0.05). Among individual lipids, 58 metabolites at visit 0 and 96 metabolites at visit 1 (40 metabolites at both time points) significantly differed between women who developed GDM and who did not (FDR <0.05). Furthermore, GDM-related lipid networks and individual lipids showed consistent correlations with maternal glycemic markers particularly in early pregnancy at visit 0. CONCLUSIONS Plasma lipid metabolites in early pregnancy both individually and interactively in distinct networks were associated with subsequent GDM risk in race/ethnically diverse US women. Future research is warranted to assess lipid metabolites as etiologic markers of GDM.
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Affiliation(s)
- Mohammad L Rahman
- Department of Population Medicine and Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA
| | - Yen-Chen A Feng
- Massachusetts General Hospital Center for Genomic Medicine, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute Harvard, Cambridge, Massachusetts, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California Davis, Davis, California, USA
| | - Paul S Albert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Michael Y Tsai
- Laboratory Medicine and Pathology, University of Minnesota System, Minneapolis, Minnesota, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Xiaobin Wang
- Department of Population, Family, and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA
| | - Liming Liang
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA
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20
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Subramanian A, Idkowiak J, Toulis KA, Thangaratinam S, Arlt W, Nirantharakumar K. Pubertal timing in boys and girls born to mothers with gestational diabetes mellitus: a systematic review. Eur J Endocrinol 2021; 184:51-64. [PMID: 33112263 PMCID: PMC7707806 DOI: 10.1530/eje-20-0296] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 10/08/2020] [Indexed: 01/11/2023]
Abstract
CONTEXT The incidence of gestational diabetes mellitus (GDM) has been on the rise, driven by maternal obesity. In parallel, pubertal tempo has increased in the general population, driven by childhood obesity. OBJECTIVE To evaluate the available evidence on pubertal timing of boys and girls born to mothers with GDM. DATA SOURCES We searched MEDLINE, EMBASE, CINAHL Plus, Cochrane library and grey literature for observational studies up to October 2019. STUDY SELECTION AND EXTRACTION Two reviewers independently selected studies, collected data and appraised the studies for risk of bias. Results were tabulated and narratively described as reported in the primary studies. RESULTS Seven articles (six for girls and four for boys) were included. Study quality score was mostly moderate (ranging from 4 to 10 out of 11). In girls born to mothers with GDM, estimates suggest earlier timing of pubarche, thelarche and menarche although for each of these outcomes only one study each showed a statistically significant association. In boys, there was some association between maternal GDM and earlier pubarche, but inconsistency in the direction of shift of age at onset of genital and testicular development and first ejaculation. Only a single study analysed growth patterns in children of mothers with GDM, describing a 3-month advancement in the age of attainment of peak height velocity and a slight increase in pubertal tempo. CONCLUSIONS Pubertal timing may be influenced by the presence of maternal GDM, though current evidence is sparse and of limited quality. Prospective cohort studies should be conducted, ideally coupled with objective biochemical tests.
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Affiliation(s)
| | - Jan Idkowiak
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Department of Endocrinology and Diabetes, Birmingham Children’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
- Correspondence should be addressed to J Idkowiak;
| | | | - Shakila Thangaratinam
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Wiebke Arlt
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
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21
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Tint MT, Sadananthan SA, Soh SE, Aris IM, Michael N, Tan KH, Shek LPC, Yap F, Gluckman PD, Chong YS, Godfrey KM, Velan SS, Chan SY, Eriksson JG, Fortier MV, Zhang C, Lee YS. Maternal glycemia during pregnancy and offspring abdominal adiposity measured by MRI in the neonatal period and preschool years: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective mother-offspring birth cohort study. Am J Clin Nutr 2020; 112:39-47. [PMID: 32219421 PMCID: PMC7351532 DOI: 10.1093/ajcn/nqaa055] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 02/26/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Gestational diabetes is associated with unfavorable body fat distribution in offspring. However, less is known about the effects across the range of maternal gestational glycemia on offspring abdominal adiposity (AA) in infancy and early childhood. OBJECTIVES This study determined the association between gestational glycemia and offspring AA measured by MRI in the neonatal period and during the preschool years. METHODS Participants were mother-offspring pairs from the GUSTO (Growing Up in Singapore Towards healthy Outcomes) prospective cohort study. Children who underwent MRI within 2 wk postdelivery (n = 305) and/or at preschool age, 4.5 y (n = 273), and whose mothers had a 2-h 75-g oral-glucose-tolerance test (OGTT) at 26-28 weeks of gestation were included. AA measured by adipose tissue compartment volumes-abdominal superficial (sSAT), deep subcutaneous (dSAT), and internal (IAT) adipose tissue-was quantified from MRI images. RESULTS Adjusting for potential confounders including maternal prepregnancy BMI, each 1-mmol/L increase in maternal fasting glucose was associated with higher SD scores for sSAT (0.66; 95% CI: 0.45, 0.86), dSAT (0.65; 95% CI: 0.44, 0.87), and IAT (0.64; 95% CI: 0.42, 0.86) in neonates. Similarly, each 1-mmol/L increase in 2-h OGTT glucose was associated with higher neonatal sSAT (0.11; 95% CI: 0.03, 0.19) and dSAT (0.09; 95% CI: 0.00, 0.17). These associations were stronger in female neonates but only persisted in girls between fasting glucose, and sSAT and dSAT at 4.5 y. CONCLUSIONS A positive association between maternal glycemia and neonatal AA was observed across the whole range of maternal mid-gestation glucose concentrations. These findings may lend further support to efforts toward optimizing maternal hyperglycemia during pregnancy. The study also provides suggestive evidence on sex differences in the impact of maternal glycemia, which merits further confirmation in other studies.This trial was registered at clinicaltrials.gov as NCT01174875.
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Affiliation(s)
- Mya-Thway Tint
- Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Suresh A Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Shu-E Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Kok H Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
- Academic Medicine, Duke–National University of Singapore Graduate Medical School, Singapore
| | - Lynette P C Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Fabian Yap
- Department of Pediatric Endocrinology, KK Women's and Children's Hospital, Singapore
- Duke–National University of Singapore Graduate Medical School, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap-Seng Chong
- Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, Univeristyof Southhampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton, NHS Foundation Trust, Southhampton, United Kingdom
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD, USA
| | - Yung S Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Pediatric Endocrinology, Department of Pediatrics, Khoo Teck Puat—National University Children's Medical Institute, National University Health System, Singapore
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22
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Cardiovascular risk factors in offspring exposed to gestational diabetes mellitus in utero: systematic review and meta-analysis. J Dev Orig Health Dis 2020; 11:599-616. [PMID: 31902382 DOI: 10.1017/s2040174419000850] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Gestational diabetes mellitus (GDM) is a pregnancy complication that affects one in seven pregnancies. Emerging evidence demonstrates that children born of pregnancies complicated by GDM may be at increased risk of cardiovascular disease (CVD) in adulthood. Therefore, the aim of this study was to determine cardiovascular risk factors in offspring exposed to GDM in utero. PubMed, CINAHL, SCOPUS, and EMBASE databases were searched. Information was extracted on established CVD risk factors including blood pressure, lipids, blood glucose, fasting insulin, body mass index (BMI), and endothelial/microvascular function. The review protocol is registered in PROSPERO (CRD42018094983). Prospective and retrospective studies comparing offspring exposed to GDM compared to controls (non-GDM pregnancies) were considered. We included studies that defined GDM based on the International Association of Diabetes and Pregnancy Study Groups (IADPSG) definition, or prior definitions. The PRISMA guidelines were followed in conducting this systematic review. Methodological quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Study selection, data extraction, and quality assessment were done by two independent reviewers. The data were pooled using a random-effects model. Of 59 eligible studies, 24 were included in the meta-analysis. Offspring exposed to GDM had higher systolic blood pressure (mean difference (MD): 1.75 mmHg, 95% CI 0.57-2.94; eight studies, 7264 participants), BMI z-score (MD 0.11, 95% CI 0.02-0.20; nine studies, 8759 participants), and glucose (standard MD 0.43, 95% CI 0.08-0.77; 11 studies, 6423 participants) than control participants. In conclusion, offspring exposed to GDM have elevated systolic blood pressure, BMI, and glucose. Those exposed to GDM in utero may benefit from early childhood blood pressure measurements.
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23
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Xie K, Zhang Y, Wen J, Chen T, Kong J, Zhang J, Wu X, Hu C, Xu B, Ji C, Guo X, Wu J. Genetic predisposition to gestational glucose metabolism and gestational diabetes mellitus risk in a Chinese population. J Diabetes 2019; 11:869-877. [PMID: 30912250 DOI: 10.1111/1753-0407.12923] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 02/16/2019] [Accepted: 03/22/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified several genetic variants affecting gestational glucose metabolism. However, information regarding their known associations with gestational diabetes mellitus (GDM) risk remains scarce. METHODS This study examined the associations of 12 gestational glucose metabolism-related variants with GDM risk in a Chinese population (964 GDM cases, 1021 controls). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression analysis. RESULTS Rs10830963 in melatonin receptor 1B (MTNR1B) was found to be associated with an increased risk of GDM, after adjusting for age, prepregnancy body mass index, parity, abnormal pregnancy history, and family history of diabetes (OR 1.20; 95% CI 1.05-1.36; P = 0.007). Compared with women with a family history of diabetes, there was a significant association of rs7936247 with GDM risk among pregnant women without a family history of diabetes (OR 1.20; 95% CI 1.04-1.38; P = 0.014; Pheterogeneity = 0.035). Further functional annotations showed that rs10830963 and rs7936247 fell in the functional elements of human pancreatic islets. Genotype-phenotype associations indicated that the variants may contribute to GDM risk by affecting the expression of nearby or distant genes. CONCLUSIONS The findings of this study suggest that rs10830963 and rs7936247 may be markers for susceptibility to GDM in a Chinese population. Additional studies are warranted to validate our findings and clarify the underlying mechanism.
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Affiliation(s)
- Kaipeng Xie
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Yue Zhang
- School of Information Management, Nanjing University, Nanjing, China
| | - Juan Wen
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Ting Chen
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jing Kong
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jinyu Zhang
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Xiaoli Wu
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Chen Hu
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Chenbo Ji
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Xirong Guo
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jiangping Wu
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
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de Brito Alves JL, de Oliveira Y, Carvalho NNC, Cavalcante RGS, Pereira Lira MM, Nascimento LCPD, Magnani M, Vidal H, Braga VDA, de Souza EL. Gut microbiota and probiotic intervention as a promising therapeutic for pregnant women with cardiometabolic disorders: Present and future directions. Pharmacol Res 2019; 145:104252. [PMID: 31054952 DOI: 10.1016/j.phrs.2019.104252] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 04/10/2019] [Accepted: 04/30/2019] [Indexed: 12/12/2022]
Abstract
Maternal cardiometabolic disorders, such as gestational diabetes mellitus, pre-eclampsia, obesity, and dyslipidemia, are the most common conditions that predispose offspring to risk for future cardiometabolic diseases, needing appropriate therapeutic approach. The implications of microbiota in the pathophysiology of maternal cardiometabolic disorders are progressively emerging and probiotics may be a simple and safe therapeutic strategy for maternal cardiometabolic management. In this review, we argue the importance of cardiometabolic dysfunction during pregnancy and/or lactation on the offspring risk for cardiometabolic disease in later life. In addition, we comprehensively discuss the microbial diversity observed in maternal cardiometabolic disorders and we present the main findings on probiotic intervention as a potential strategy for management of maternal cardiometabolic disorders. Current data reveal that gut microbiota may be transmitted from mother to offspring. Whether targeting microbiota with probiotic intervention during the periconceptional period prevents or delays the onset of cardiometabolic disorders in adult offspring should be tested in future clinical trials.
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Affiliation(s)
- José Luiz de Brito Alves
- Department of Nutrition, Health Sciences Center, Federal University of Paraíba, João Pessoa, Brazil.
| | - Yohanna de Oliveira
- Department of Nutrition, Health Sciences Center, Federal University of Paraíba, João Pessoa, Brazil
| | | | | | | | | | - Marciane Magnani
- Department of Food Engineering, Technology Center, Federal University of Paraiba, Joao Pessoa, Brazil
| | - Hubert Vidal
- Univ-Lyon, CarMeN(Cardio, Metabolism,Diabetes and Nutrition) Laboratory, INSERM U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Oullins, France
| | - Valdir de Andrade Braga
- Department of Biotechnology, Biotechnology Center, Federal University of Paraíba, João Pessoa, PB, Brazil
| | - Evandro Leite de Souza
- Department of Nutrition, Health Sciences Center, Federal University of Paraíba, João Pessoa, Brazil
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25
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Koutoukidis DA, Jebb SA, Ordóñez-Mena JM, Noreik M, Tsiountsioura M, Kennedy S, Payne-Riches S, Aveyard P, Piernas C. Prominent positioning and food swaps are effective interventions to reduce the saturated fat content of the shopping basket in an experimental online supermarket: a randomized controlled trial. Int J Behav Nutr Phys Act 2019; 16:50. [PMID: 31174547 PMCID: PMC6555993 DOI: 10.1186/s12966-019-0810-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Accepted: 05/23/2019] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Interventions to reduce the saturated fat (SFA) content of food purchases may help reduce SFA consumption and lower cardiovascular risk. This factorial RCT aimed to examine the effect of altering the default order of foods and being offered a swap on the SFA content of food selected during an online shopping experiment. METHODS UK adults who were the primary grocery shoppers for their household were recruited online and invited to select items in a custom-made experimental online supermarket using a 10-item shopping list. Participants were randomly allocated to one of four groups (i) to see products within a category ranked in ascending order of SFA content, (ii) receive an offer to swap to a product with less SFA, (iii) a combination of both interventions, or (iv) no intervention. The primary outcome was the difference in percentage energy from SFA in the shopping basket between any of the four groups. The outcome assessors and statistician were blinded to intervention allocation. RESULTS Between March and July 2018, 1240 participants were evenly randomised and 1088 who completed the task were analysed (88%). Participants were 65% female and aged 38y (SD 12). Compared with no intervention (n = 275) where the percentage energy from SFA was 25.7% (SD 5.6%), altering the order of foods (n = 261) reduced SFA by [mean difference (95%CI)] -5.0% (- 6.3 to - 3.6) and offering swaps (n = 279) by - 2.0% (- 3.3 to - 0.6). The combined intervention (n = 273) was significantly more effective than swaps alone (- 3.4% (- 4.7 to - 2.1)) but not different than altering the order alone (- 0.4% (- 1.8 to 0.9)), p = 0.04 for interaction. CONCLUSIONS Altering the default order to show foods in ascending order of SFA and offering a swap with lower SFA reduced percentage energy from SFA in an experimental online supermarket. Environmental-level interventions, such as altering the default order, may be a more promising way to improve food purchasing than individual-level ones, such as offering swaps. TRIAL REGISTRATION ISRCTN13729526 https://doi.org/10.1186/ISRCTN13729526 26th February 2018.
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Affiliation(s)
- Dimitrios A. Koutoukidis
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Susan A. Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - José M. Ordóñez-Mena
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Michaela Noreik
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Melina Tsiountsioura
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sarah Kennedy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sarah Payne-Riches
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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Effect of maternal lifestyle intervention on metabolic health and adiposity of offspring: Findings from the Finnish Gestational Diabetes Prevention Study (RADIEL). DIABETES & METABOLISM 2019; 46:46-53. [PMID: 31175958 DOI: 10.1016/j.diabet.2019.05.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 05/18/2019] [Accepted: 05/26/2019] [Indexed: 12/17/2022]
Abstract
AIM To assess in women at high risk of gestational diabetes mellitus (GDM) the effect of a lifestyle intervention on the metabolic health of their offspring around 5 years after delivery. METHODS For the original Finnish gestational diabetes prevention study (RADIEL), 720 women with a prepregnancy body mass index (BMI)≥30kg/m2 and/or previous GDM were enrolled before or during early pregnancy and allocated to either an interventional (n=126) or conventional (n=133) care group. The present 5-year follow-up substudy assessed the metabolic health outcomes of their offspring. Age- and gender-standardized residuals of metabolic health components (waist circumference, mean arterial pressure, high-density lipoprotein and triglyceride levels, and fasting insulin/glucose ratio) were also combined to determine the accumulation of metabolic effects. Body composition was assessed by electrical bioimpedance. RESULTS Offspring of women in the intervention group had a less optimal metabolic profile after the 5-year follow-up compared with offspring in the usual care group (P=0.014). This difference in metabolic health was primarily related to lipid metabolism, and was more prominent among boys (P=0.001) than girls (P=0.74). Neither GDM, gestational weight gain, prepregnancy BMI, offspring age nor timing of randomization (before or during pregnancy) could explain the detected difference, which was also more pronounced among the offspring of GDM pregnancies (P=0.010). Offspring body composition was similar in both groups (P>0.05). CONCLUSION The lifestyle intervention aimed at GDM prevention was associated with unfavourable metabolic outcomes among offspring at around 5 years of age.
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Garcia-Martin I, Penketh RJA, Janssen AB, Jones RE, Grimstead J, Baird DM, John RM. Metformin and insulin treatment prevent placental telomere attrition in boys exposed to maternal diabetes. PLoS One 2018; 13:e0208533. [PMID: 30533028 PMCID: PMC6289439 DOI: 10.1371/journal.pone.0208533] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Accepted: 11/18/2018] [Indexed: 12/30/2022] Open
Abstract
Shortened leukocyte and placental telomeres associated with gestational diabetes mellitus (GDM) suggest this exposure triggers telomere attrition contributing to adverse outcomes. We applied high resolution Single Telomere Length Analysis (STELA) to placenta from GDM pregnancies with different treatment pathways to determine their effectiveness at preventing telomere attrition. Differences in telomere length between control (N = 69), GDM lifestyle intervention (n = 14) and GDM treated with metformin and/or insulin (n = 17) was tested by Analysis of Covariance (ANCOVA) followed by group comparisons using Fisher's least significant difference. For male placenta only, there were differences in mean telomere length (F(2,54) = 4.98, P = 0.01) and percentage of telomeres under 5 kb (F(2,54) = 4.65, P = 0.01). Telomeres were shorter in the GDM lifestyle intervention group compared to both controls (P = 0.02) and medically treated pregnancies (P = 0.003). There were more telomeres under 5 kb in the GDM lifestyle intervention group compared to the other two groups (P = 0.03 and P = 0.004). Although further work is necessary, we suggest that early adoption of targeted medical treatment of GDM pregnancies where the fetus is known to be male may be an effective strategy for ameliorating adverse outcomes for children.
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Affiliation(s)
- Isabel Garcia-Martin
- Division of Biomedicine, Cardiff School of Biosciences, Cardiff University, Cardiff, Wales, United Kingdom
| | - Richard J. A. Penketh
- Department of Obstetrics and Gynaecology, University Hospital Wales, Cardiff, Wales, United Kingdom
| | - Anna B. Janssen
- Division of Biomedicine, Cardiff School of Biosciences, Cardiff University, Cardiff, Wales, United Kingdom
| | - Rhiannon E. Jones
- Division of Cancer and Genetics, Cardiff School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Julia Grimstead
- Division of Cancer and Genetics, Cardiff School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Duncan M. Baird
- Division of Cancer and Genetics, Cardiff School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Rosalind M. John
- Division of Biomedicine, Cardiff School of Biosciences, Cardiff University, Cardiff, Wales, United Kingdom
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Talbot CPJ, Dolinsky VW. Sex differences in the developmental origins of cardiometabolic disease following exposure to maternal obesity and gestational diabetes 1. Appl Physiol Nutr Metab 2018; 44:687-695. [PMID: 30500266 DOI: 10.1139/apnm-2018-0667] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Over the past 30 years, the worldwide prevalence of obesity has nearly doubled. In addition, more and more women in their child-bearing years are overweight or obese, which increases the risk of gestational diabetes mellitus (GDM). It is increasingly accepted by the scientific community that early life exposure to environmental stress influences the long-term health of an individual, which has been termed the Developmental Origins of Health and Disease theory. Evidence from human cohorts and epidemiological and animal studies has shown that maternal obesity and GDM condition the offspring for cardiometabolic disease development. These effects are most likely regulated by epigenetic mechanisms; however, biological sex is an important factor in defining the risk of the development of several metabolic health disorders. The aim of this review is to describe the current evidence from human cohort and animal model studies that implicates sex differences in the developmental origins of cardiometabolic disease following exposure to maternal obesity and GDM. In addition, this review addresses the potential mechanisms involved in these sex differences. In many studies, sex is ignored as an important variable in disease development; however, the results presented in this review highlight important differences between sexes in the developmental programming of biological responses to exposures during the fetal stage. This knowledge will ultimately help in the development of effective therapeutic strategies for the treatment of cardiometabolic diseases that exhibit sexual dimorphism.
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Affiliation(s)
- Charlotte Pauline Joëlle Talbot
- a Department of Pharmacology and Therapeutics, Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB R3E 3P4, Canada.,b Diabetes Research Envisioned and Accomplished in Manitoba (DREAM) Research Theme of the Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB R3E 3P4, Canada.,c Manitoba Developmental Origins of Chronic Diseases in Children Network (DEVOTION), University of Manitoba, Winnipeg, MB R3E 3P4, Canada
| | - Vernon Wayne Dolinsky
- a Department of Pharmacology and Therapeutics, Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB R3E 3P4, Canada.,b Diabetes Research Envisioned and Accomplished in Manitoba (DREAM) Research Theme of the Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB R3E 3P4, Canada.,c Manitoba Developmental Origins of Chronic Diseases in Children Network (DEVOTION), University of Manitoba, Winnipeg, MB R3E 3P4, Canada
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Chu DT, Minh Nguyet NT, Dinh TC, Thai Lien NV, Nguyen KH, Nhu Ngoc VT, Tao Y, Son LH, Le DH, Nga VB, Jurgoński A, Tran QH, Van Tu P, Pham VH. An update on physical health and economic consequences of overweight and obesity. Diabetes Metab Syndr 2018; 12:1095-1100. [PMID: 29799416 DOI: 10.1016/j.dsx.2018.05.004] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 05/04/2018] [Indexed: 12/21/2022]
Abstract
Overweight and obesity (OW and OB) have been on the increase globally and posed health risks to the world's population of all ages, including pre-born babies, children, adolescents, adults and elderly people, via their comorbid conditions. Excellent examples of comorbidities associated with obesity include cancer, cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM). In this article, we aimed to review and update scientific evidence regarding the relationships between obesity and its common physical health consequences, including CVD, T2DM, hypertension, ischemic stroke, cancer, dyslipidemia and reproductive disorders. In addition, the economic burden of OW and OB will be discussed. Abundant evidence is found to support the associations between obesity and other diseases. In general, the odd ratios, risk ratios or hazard ratios are often higher in OW and OB people than in the normal-weight ones. However, the molecular mechanism of how OW and OB induce the development of other diseases has not been fully understood. Figures also showed that obesity and its-related disorders exert enormous pressure on the economy which is projected to increase. This review highlights the fact that obesity can lead to numerous lethal health problems; therefore, it requires a lot of economic resources to fight against this epidemic.
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Affiliation(s)
- Dinh-Toi Chu
- Faculty of Biology, Hanoi National University of Education, Hanoi, Vietnam; Institute for Research and Development, Duy Tan University, 03 Quang Trung, Danang, Vietnam.
| | - Nguyen Thi Minh Nguyet
- Center for Environment and Health Studies, Thai Binh Medical University, Thai Binh, Vietnam
| | - Thien Chu Dinh
- Institute for Research and Development, Duy Tan University, 03 Quang Trung, Danang, Vietnam
| | | | - Khanh-Hoang Nguyen
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom
| | | | - Yang Tao
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, 8 210095, China
| | - Le Hoang Son
- VNU University of Science, Vietnam National University, Hanoi, Vietnam
| | - Duc-Hau Le
- VINMEC Research Institute of Stem Cell and Gene Technology, Hanoi, Vietnam
| | - Vu Bich Nga
- National Institute of Diabetes and Metabolic Disorders, Hanoi, Vietnam
| | - Adam Jurgoński
- Department of Biological Function of Food, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Tuwima 10 Str., 10-748, Olsztyn, Poland
| | - Quoc-Hung Tran
- University of Economics and Business, Vietnam National University, Hanoi, Vietnam
| | - Pham Van Tu
- Faculty of Social Work, Hanoi National University of Education, Hanoi, Vietnam
| | - Van-Huy Pham
- AI Lab, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
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Macaulay S, Munthali RJ, Dunger DB, Norris SA. The effects of gestational diabetes mellitus on fetal growth and neonatal birth measures in an African cohort. Diabet Med 2018; 35:1425-1433. [PMID: 29766563 DOI: 10.1111/dme.13668] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/10/2018] [Indexed: 01/17/2023]
Abstract
AIM Fetal exposure to gestational diabetes mellitus (GDM) is said to alter fetal growth and increase the risk of macrosomia. However, little research on GDM exists in African populations. This study aimed to assess longitudinal fetal growth and neonatal birth measures among Black African babies exposed to GDM. METHODS Pregnant women (Soweto, South Africa) enrolled into a cohort study were followed up with repeated fetal ultrasounds. At 24-28 weeks' gestation a 2-h 75 g oral glucose tolerance test was performed and GDM was diagnosed using the World Health Organization's 2013 criteria. Neonatal birth measures were assessed. RESULTS The study involved 741 women; 83 (11.2%) with GDM and 658 (88.8%) without. A total of 4040 fetal ultrasounds were performed. GDM exposure was associated with an increase in fetal growth measures, especially abdominal circumference, which was already seen at 16-18 weeks' gestation. Male fetuses in particular, showed a significant association between GDM exposure and increased abdominal circumference (P = 0.009). Most women with GDM (66.3%) received management; all received diet therapy and 32.7% were prescribed medication. There was no difference in birth measures between the GDM-exposed and unexposed neonates. CONCLUSION Repeated ultrasound measures identified the effects of GDM as early as 16-18 weeks' gestation, well before a diagnosis of GDM would usually be made. Sex differences in fetal growth were observed, with GDM-exposed male fetuses being more affected with larger abdominal circumferences than females. A low rate of macrosomia was observed compared with historical GDM populations.
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Affiliation(s)
- S Macaulay
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Division of Human Genetics, School of Pathology, University of the Witwatersrand and National Health Laboratory Service, Johannesburg, South Africa
| | - R J Munthali
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - D B Dunger
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, Cambridge, UK
| | - S A Norris
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
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Pitchika A, Vehik K, Hummel S, Norris JM, Uusitalo UM, Yang J, Virtanen SM, Koletzko S, Andrén Aronsson C, Ziegler AG, Beyerlein A. Associations of Maternal Diabetes During Pregnancy with Overweight in Offspring: Results from the Prospective TEDDY Study. Obesity (Silver Spring) 2018; 26:1457-1466. [PMID: 30226003 PMCID: PMC6146413 DOI: 10.1002/oby.22264] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 07/02/2018] [Indexed: 01/06/2023]
Abstract
OBJECTIVE This study aimed to determine the relationship between different forms of, and potential pathways between, maternal diabetes and childhood obesity at different ages. METHODS Prospective cohort data from The Environmental Determinants of Diabetes in the Young (TEDDY) study, which was composed of 5,324 children examined from 0.25 to 6 years of age, were analyzed. Cross-sectional and longitudinal analyses taking into account potential confounders and effect modifiers such as maternal prepregnancy BMI and birth weight z scores were performed. RESULTS Offspring of mothers with gestational diabetes mellitus (GDM) or type 1 diabetes mellitus (T1DM) showed a higher BMI standard deviation score and increased risk for overweight and obesity at 5.5 years of age than offspring of mothers without diabetes. While these associations could be substantially explained by maternal prepregnancy BMI in offspring of mothers with GDM, significant associations disappeared after adjustment for birth weight z scores in offspring of T1DM mothers. Furthermore, overweight risk became stronger with increasing age in offspring of mothers with diabetes compared with offspring of mothers without diabetes. CONCLUSIONS Maternal diabetes is associated with increased risk of offspring overweight, and the association appears to get stronger as children grow older. Indeed, intrauterine exposure to maternal T1DM may predispose children to later obesity through increased birth weight, while maternal BMI is more important in children exposed to GDM.
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Affiliation(s)
- Anitha Pitchika
- Institute of Diabetes Research, Helmhtoltz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Forschergruppe Diabetes e.V, Helmhtoltz Zentrum München, Munich, Germany
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Sandra Hummel
- Institute of Diabetes Research, Helmhtoltz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Forschergruppe Diabetes e.V, Helmhtoltz Zentrum München, Munich, Germany
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Ulla M Uusitalo
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Jimin Yang
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Suvi M Virtanen
- Unit of Nutrition, National Institute for Health and Welfare, Helsinki, Finland
- Faculty of Social Sciences/Health Sciences, University of Tampere, Tampere, Finland
- Center for Child Health Research, University of Tampere and Tampere University Hospital, Tampere, Finland
- The Science Center of Pirkanmaa Hospital District, Tampere, Finland
| | - Sibylle Koletzko
- Dr. v. Hauner Children's Hospital, University Medical Center, LMU, Munich, Germany
| | - Carin Andrén Aronsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital SUS, Malmö, Sweden
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmhtoltz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Forschergruppe Diabetes e.V, Helmhtoltz Zentrum München, Munich, Germany
| | - Andreas Beyerlein
- Institute of Diabetes Research, Helmhtoltz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Forschergruppe Diabetes e.V, Helmhtoltz Zentrum München, Munich, Germany
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Maternal Lipid Concentrations during Early Pregnancy and Eating Behaviour and Energy Intake in the Offspring. Nutrients 2018; 10:nu10081026. [PMID: 30082636 PMCID: PMC6115740 DOI: 10.3390/nu10081026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/25/2018] [Accepted: 08/03/2018] [Indexed: 01/22/2023] Open
Abstract
Worldwide, childhood obesity is rapidly increasing, making it a pressing public health issue. Obesity is strongly linked to eating behaviour and energy intake but little is known about their prenatal determinants. In an exploratory study of data collected within the Amsterdam Born Children and their Development (ABCD) study, we hypothesized that intra-uterine exposure to increased lipids is associated with adverse eating behaviour and increased energy intake in the offspring at age 5. During early gestation, a non-fasting blood sample was taken from 1463 non-diabetic Dutch women, including: total cholesterol (TC), triglycerides (TG), free fatty acids (FFA), Apolipoprotein A1 (ApoA1) and Apolipoprotein B (ApoB). Eating behaviour, measured using the Children’s Eating Behaviour Questionnaire, included food approaching (enjoyment of food, food responsiveness) and food avoidant behaviour (satiety responsiveness, slowness of eating). Energy intake (total energy, fat and carbohydrate intake) was measured using a validated food frequency questionnaire. Associations were analysed using multivariable linear regression. Increased maternal TC concentrations were associated with lower enjoyment of food, higher satiety responsiveness and increased slowness of eating, as well as decreased kcal and fat intake in the offspring. Elevated ApoA1 was associated with increased slowness of eating, lower enjoyment of food and lower kcal, fat and carbohydrate intake. ApoB was positively associated with satiety responsiveness and slowness of eating. Higher TG concentrations were associated with higher food responsiveness. Maternal FFA did not show significant associations. Findings demonstrated that the maternal prenatal lipid profile was associated with offspring’s eating behaviour and energy intake, although not always in the hypothesized direction.
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Ding M, Chavarro J, Olsen S, Lin Y, Ley SH, Bao W, Rawal S, Grunnet LG, Thuesen ACB, Mills JL, Yeung E, Hinkle SN, Zhang W, Vaag A, Liu A, Hu FB, Zhang C. Genetic variants of gestational diabetes mellitus: a study of 112 SNPs among 8722 women in two independent populations. Diabetologia 2018; 61:1758-1768. [PMID: 29947923 PMCID: PMC6701842 DOI: 10.1007/s00125-018-4637-8] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 03/26/2018] [Indexed: 12/12/2022]
Abstract
AIMS/HYPOTHESIS Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has substantial short- and long-term adverse health implications for women and their children. However, large-scale studies on genetic risk loci for GDM remain sparse. METHODS We conducted a case-control study among 2636 women with GDM and 6086 non-GDM control women from the Nurses' Health Study II and the Danish National Birth Cohort. A total of 112 susceptibility genetic variants confirmed by genome-wide association studies for type 2 diabetes were selected and measured. A weighted genetic risk score (GRS) was created based on variants that were significantly associated with risk of GDM after correcting for the false discovery rate. RESULTS For the first time, we identified eight variants associated with GDM, namely rs7957197 (HNF1A), rs10814916 (GLIS3), rs3802177 (SLC30A8), rs9379084 (RREB1), rs34872471 (TCF7L2), rs7903146 (TCF7L2), rs11787792 (GPSM1) and rs7041847 (GLIS3). In addition, we confirmed three variants, rs10830963 (MTNR1B), rs1387153 (MTNR1B) and rs4506565 (TCF7L2), that had previously been significantly associated with GDM risk. Furthermore, compared with participants in the first (lowest) quartile of weighted GRS based on these 11 SNPs, the ORs for GDM were 1.07 (95% CI 0.93, 1.22), 1.23 (95% CI 1.07, 1.41) and 1.53 (95% CI 1.34, 1.74) for participants in the second, third and fourth (highest) quartiles, respectively. The significant positive associations between the weighted GRS and risk of GDM persisted across most of the strata of major risk factors for GDM, including family history of type 2 diabetes, smoking status, BMI and age. CONCLUSIONS/INTERPRETATION In this large-scale case-control study with women from two independent populations, eight novel GDM SNPs were identified. These findings offer the potential to improve our understanding of the aetiology of GDM, and particularly of biological mechanisms related to beta cell function.
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Affiliation(s)
- Ming Ding
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jorge Chavarro
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sjurdur Olsen
- Centre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark
| | - Yuan Lin
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Sylvia H Ley
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Shristi Rawal
- Department of Nutritional Sciences, School of Health Professions, Rutgers University, Newark, NJ, USA
| | - Louise G Grunnet
- Department of Endocrinology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | | | - James L Mills
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Edwina Yeung
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Stefanie N Hinkle
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Wei Zhang
- Centre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark
| | - Allan Vaag
- AstraZeneca, Early Clinical Development and Innovative Medicines, Mölndal, Sweden
| | - Aiyi Liu
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Cuilin Zhang
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA.
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Le Moullec N, Fianu A, Maillard O, Chazelle E, Naty N, Schneebeli C, Gérardin P, Huiart L, Charles MA, Favier F. Sexual dimorphism in the association between gestational diabetes mellitus and overweight in offspring at 5-7 years: The OBEGEST cohort study. PLoS One 2018; 13:e0195531. [PMID: 29621322 PMCID: PMC5886576 DOI: 10.1371/journal.pone.0195531] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 03/23/2018] [Indexed: 01/10/2023] Open
Abstract
Evidence from literature is mixed regarding a possible association of maternal gestational diabetes mellitus (GDM) and overweight in the offspring. Sexual dimorphism, or sex disparities in the pathogenesis linking GDM exposure to overweight, could be at play. The objective of this study was to investigate the association between GDM and child overweight at 5–7 years. Six hundred pairs (1:1) of Reunionese liveborn singletons selected from a hospital-based birth registry, matched for sex, gestational age, and birth period, underwent a prospective in-home follow-up and were analyzed with respect to their exposure to GDM. The primary outcome was child overweight at 5–7 years, as defined by the International Obesity Task Force. The association between GDM exposure and child overweight was estimated by the odds ratio (OR) using conditional logistic regression models. For the subset of children exposed to GDM with available maternal glycemic data, we analyzed the relationship between maternal glycemic levels during pregnancy and child body mass index (BMI) at 5–7 years with a linear regression model. In light of the significant interaction between sex and GDM, all statistical analyses were then stratified by sex. After controlling for pre-pregnancy BMI and maternal sociodemographic characteristics, the risk of overweight increased with exposure to GDM for boys (adjusted OR: 2.34; 95% confidence interval = 1.26–4.34, P = 0.007) but not for girls (adjusted OR: 0.56; 95%CI = 0.28–1.10, P = 0.093). Consistent with this, the linear increase of boys’ BMI at 5–7 years with maternal blood glucose levels during pregnancy, in the exposed group, displayed a dose-response relationship. Our findings indicate that exposure to GDM is a risk factor for childhood overweight in boys but not in girls, which adds to the growing body of evidence suggesting greater sensitivity of male offspring to intrauterine hyperglycemia.
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Affiliation(s)
- Nathalie Le Moullec
- Department of Endocrinology, Diabetology and Nutrition, Centre Hospitalier Universitaire (CHU) Réunion, Saint-Pierre, Reunion, France
| | - Adrian Fianu
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
- UMR1027, Université de Toulouse, UPS, Inserm, Toulouse, France
- * E-mail:
| | - Olivier Maillard
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
| | - Emilie Chazelle
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
| | - Nadège Naty
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
| | - Chantal Schneebeli
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
| | - Patrick Gérardin
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
| | - Laetitia Huiart
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
| | - Marie-Aline Charles
- Center for Research in Epidemiology and Population Health, Paris, France
- Paris Descartes University, Paris, France
| | - François Favier
- INSERM CIC 1410 Clinical and Epidemiology/ CHU Réunion/Université de la Réunion, Saint-Pierre, Reunion, France
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