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Dufault RJ. Biomarkers for tracking metabolic changes pre-post nutritional epigenetics diet/intervention to prevent autism and attention deficit/hyperactivity disorders in children. World J Exp Med 2025; 15:101555. [DOI: 10.5493/wjem.v15.i2.101555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 01/20/2025] [Accepted: 02/06/2025] [Indexed: 04/16/2025] Open
Abstract
The prevalence of autism and attention deficit/hyperactivity disorders is increasing worldwide. Recent studies suggest the excessive intake of ultra-processed food plays a role in the inheritance of these disorders via heavy metal exposures and nutritional deficits that impact the expression of genes. In the case of the metallothionein (MT) gene, biomarker studies show dietary zinc (Zn) deficits impact MT protein levels in children with autism and are associated with the bioaccumulation of lead and/or mercury in children exhibiting autism/attention deficit/hyperactivity disorders symptomology. The impact of dietary changes on lead and mercury exposures and MT gene behavior could be determined using a randomized test and control group design. Pregnant women serving in the test-group would participate in a nutritional epigenetics education intervention/course designed to reduce ultra-processed food intake and heavy metal levels in blood while increasing whole food intake and MT and Zn levels. Changes in maternal diet would be measured using data derived from an online diet survey administered to the test and control groups pre-post intervention. Changes in maternal lead, mercury, Zn, and MT levels would be measured via blood sample analyses prior to the intervention and after childbirth via cord blood analyses to determine infant risk factors.
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Affiliation(s)
- Renee J Dufault
- College of Graduate Health Studies, A.T. Still University, Kirksville, MO 63501, United States
- Food Ingredient and Health Research Institute, Naalehu, HI 96772, United States
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2
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Ahmed A, Hawken S, Gunz A, Talarico R, Yu C, Messerlian C, Zhang Y, Chen H, Weichenthal S, van Donkelaar A, Martin RV, Lavigne É. Prenatal exposure to fine particulate matter composition and risk of cerebral palsy: A population-based retrospective cohort study in Ontario, Canada. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 375:126302. [PMID: 40280264 DOI: 10.1016/j.envpol.2025.126302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 04/16/2025] [Accepted: 04/22/2025] [Indexed: 04/29/2025]
Abstract
BACKGROUND Existing literature suggests an association between prenatal exposure to fine particulate air pollution (PM2.5) and cerebral palsy (CP). However, the impact of individual PM2.5 components (SO42-, NH4+, NO3-, SS, BC, dust, OM) on CP risk remains unknown. OBJECTIVE To examine the associations between prenatal exposure to PM2.5 components, and risk of CP among term births in Ontario, Canada. METHODS This was a retrospective cohort study that examined term births (gestational age ≥37 completed weeks) from April 2002 to December 2020. PM2.5 total mass and composition measures were assigned to maternal residence at birth using satellite-based estimates and ground-level monitoring data. Cohort data were compiled using health administrative databases. Single-pollutant distributed lag cox proportional hazard models, with and without additional adjustment for PM2.5 residuals, were used to investigate the associations between gestational exposures to PM2.5 total mass and its components. RESULTS 2,193,427 mother-infant pairs were identified, of which 3907 were diagnosed with CP during the follow-up period. Increased risk of CP was found for SO42- exposure during early pregnancy in both residual-adjusted (HR: 1.052, 95 % CI: 1.009-1.097, per IQR = 0.94 μg/m3), and non-adjusted models (HR: 1.050, 95 % CI: 1.007-1.095, per IQR = 0.94 μg/m3). The concentration-response relationship between the sensitive window found for SO42- and CP risk (weeks 4-9 of gestation) showcased a supralinear pattern. CONCLUSIONS Prenatal exposure to SO42- may be associated with increased CP risk during the early pregnancy period. Associations between prenatal PM2.5 total mass and composition exposure and CP risk should be further investigated.
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Affiliation(s)
- Amrin Ahmed
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Steven Hawken
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; ICES UOttawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Anna Gunz
- Children's Health Research Institute, London, Ontario, Canada; Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Robert Talarico
- ICES UOttawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Chengchun Yu
- ICES UOttawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Carmen Messerlian
- Department of Environmental Health, Harvard T.H. Chan School of Public Heath, Boston, MA, United States of America; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America; Massachusetts General Hospital Fertility Center, Department of Obstetrics and Gynecology, Boston, MA, United States of America
| | - Yu Zhang
- Department of Environmental Health, Harvard T.H. Chan School of Public Heath, Boston, MA, United States of America
| | - Hong Chen
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; ICES UOttawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Aaron van Donkelaar
- Department of Energy, Environmental, and Chemical Engineering McKelvey School of Engineering, St. Louis, Missouri, United States of America
| | - Randall V Martin
- Department of Energy, Environmental, and Chemical Engineering McKelvey School of Engineering, St. Louis, Missouri, United States of America
| | - Éric Lavigne
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada; ICES UOttawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
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Kahn LG, Hipwell AE, Charifson M, Ling R, Cajachagua-Torres KN, Ghassabian A. Maternal polycystic ovarian syndrome and offspring psychopathology and neurodevelopment. Hum Reprod 2025:deaf079. [PMID: 40380372 DOI: 10.1093/humrep/deaf079] [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: 09/06/2024] [Revised: 03/26/2025] [Indexed: 05/19/2025] Open
Abstract
Polycystic ovarian syndrome (PCOS) is a common female endocrinologic condition that affects both the metabolic and reproductive systems and is the most frequent cause of anovulatory infertility. It is also associated with a range of psychiatric outcomes in individuals, including bulimia nervosa, schizophrenia, bipolar disorder, depression, anxiety, and personality disorders. At the same time, evidence suggests that hyperandrogenism, the characteristic trait of PCOS, may impair fetal neurodevelopment. Epidemiological studies have linked maternal PCOS with a variety of behavioral and psychiatric conditions in offspring including autism spectrum disorder and attention deficit hyperactivity disorder. In this review, we explore evidence for potential underlying biological mechanisms that might explain these observed associations, discuss the complex interplay between genetics and various environmental factors across generations, and highlight avenues for future research.
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Affiliation(s)
- Linda G Kahn
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mia Charifson
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Rui Ling
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Kim N Cajachagua-Torres
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
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4
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Han J, Tan X, Wei Y, Hu Z, Yang Q, Zhu Y, Chen Z, Zhang Y, Yu H, Cai X, Cui S. Gestational Diabetes Mellitus Rats Induce Anxiety-Depression-Like Behavior in Offspring: Association with Neuroinflammation and NF-κB Pathway. Mol Neurobiol 2025:10.1007/s12035-025-05033-x. [PMID: 40360956 DOI: 10.1007/s12035-025-05033-x] [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: 09/19/2024] [Accepted: 05/02/2025] [Indexed: 05/15/2025]
Abstract
The gestational diabetes mellitus (GDM) rat model was established through a combination of high-fat diet and streptozotocin. GDM is a common disease during pregnancy with high morbidity, which is associated with a high risk of neurological changes in the offspring. Neuroinflammation plays an important role in the development of anxiety-depression-like behavior. However, the mechanisms involved are unknown. This study aimed to investigate whether GDM induces chronic neuroinflammation in the offspring, resulting in anxiety-depression-like behavior. Our study used high-fat diets and streptozotocin to establish a gestational diabetes rat model. Eight-week-old offspring were assessed for anxiety-depression-like behavior using the open field test and the modified forced swimming test. Prefrontal cortex (PFC) tissue was observed by H&E staining. The expression level of peripheral and central inflammation was monitored by ELISA. Differentially expressed genes in the PFC were detected by RNA-sequencing. The results of RNA-sequencing were verified by RT-qPCR, Western blot, and Wes™ Automatic Western Blot Quantitative Analysis. Anxiety-depression-like behavior was observed in the offspring of GDM. It indicated that PFC neurons were impaired and neuroinflammation was more serious in the GDM offspring, in which the increased concentration of CXCL10 was observed. Moreover, it revealed that the PI3K/AKT pathway was enriched by KEGG analysis. Mechanistically, GDM increased astrocyte activation and facilitated the nuclear translocation of phosphorylated-nuclear factor-κ B (p-NF-κB) in the offspring. The development of anxiety-depression-like behavior in the offspring of GDM rats was influenced by neuroinflammation in the PFC. These effects may be associated with astrocyte activation and activation of the NF-κB pathway.
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Affiliation(s)
- Jing Han
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Xiaomu Tan
- Department of Neurology, Beijing Xiaotangshan Hospital, Beijing, 102211, People's Republic of China
- Department of Neurology, Luhe Hospital of Capital Medical University, Beijing, 101149, People's Republic of China
| | - Yuchen Wei
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Zhuo Hu
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Department of Clinical Nutrition, Xi' an Daxing Hospital, Xi'an, 710016, People's Republic of China
| | - Qian Yang
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Department of Clinical Nutrition, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, People's Republic of China
| | - Yandi Zhu
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Zhaoyang Chen
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Yadi Zhang
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Huanling Yu
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Xiaxia Cai
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China.
| | - Shanshan Cui
- Beijing Key Laboratory of Environment and Aging, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China.
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Valle-Bautista R, de la Merced-García DS, Díaz-Piña DA, Díaz NF, Ávila-González D, Molina-Hernández A. Maternal diabetes disrupts early corticogenesis through altered mitotic gene regulation: a transcriptomic analysis. Front Endocrinol (Lausanne) 2025; 16:1564441. [PMID: 40433412 PMCID: PMC12106025 DOI: 10.3389/fendo.2025.1564441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Accepted: 04/11/2025] [Indexed: 05/29/2025] Open
Abstract
Maternal diabetes is linked to neurodevelopmental impairments in offspring, but the underlying molecular mechanisms remain unclear. Early cortical neurogenesis is a critical window vulnerable to maternal metabolic disturbances. Here, we analyzed global gene expression by RNA sequencing in dorsal prosencephalon tissue from 12-day-old embryos without neural tube defects. Gene ontology (GO) enrichment identified key candidates, validated by qRT-PCR, Western blotting, and immunofluorescence. We found 247 differentially expressed genes (111 upregulated, 136 downregulated), with upregulated genes enriched in mitosis, microtubule organization, and chromosome segregation pathways. Aurkb and Numa1 emerged as central regulators and were confirmed upregulated by qRT-PCR. Although Western blotting showed no protein-level changes, immunofluorescence revealed altered subcellular localization, disrupted spindle architecture, monopolar spindles, and increased asymmetric divisions in neural stem cells. These results suggest maternal diabetes disrupts mitotic regulation, accelerates neurogenic differentiation, and depletes the neural stem cell pool, potentially contributing to cortical defects and neurodevelopmental impairments in offspring. This study provides new insight into the developmental origins of neurodevelopmental disorders in the context of maternal diabetes, highlighting mitotic dysregulation as a potential mechanistic link in fetal programming.
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Affiliation(s)
| | | | | | | | | | - Anayansi Molina-Hernández
- Departamento de Fisiología y Desarrollo Celular, Instituto Nacional de
Perinatología ”Isidro Espinosa de los Reyes“, Mexico City, Mexico
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Wei C, Zeng X, Wang K, Wang M, Lei M, Zhu Z, Xu Y, Zhao Y, Yang Q, Sun Y. Nicotinamide riboside supplementation protects against maternal diabetes-associated decline in oocyte quality. Reproduction 2025; 169:e240350. [PMID: 40110863 PMCID: PMC12023624 DOI: 10.1530/rep-24-0350] [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: 09/18/2024] [Revised: 02/17/2025] [Accepted: 03/20/2025] [Indexed: 03/22/2025]
Abstract
In brief NAD+ levels were reduced in streptozotocin (STZ)-induced diabetic mice, but nicotinamide riboside (NR) supplementation improved these levels in diabetic ovaries and oocytes, enhancing oocyte quality and early embryo development by improving mitochondrial function and lowering reactive oxygen species (ROS) levels. Abstract Diabetes mellitus is strongly correlated with a decline in oocyte quality; however, noninvasive and effective methods to improve this issue have yet to be fully development. Here, we demonstrate that in vivo supplementation with NR 400 mg/kg/day for 14 days effectively enhances the quality of oocytes from diabetic mice induced by streptozocin 190 mg/kg by restoring nicotinamide adenine dinucleotide (NAD+) levels. NR supplementation not only improved superovulation function of diabetic mice but also improved their oocyte quality and embryonic development potential after fertilization by maintaining normal spindle structure and alleviating mitochondrial dysfunction. In addition, NR supplementation reduced ROS levels in oocytes from diabetic mice. Overall, our findings suggest that dietary NR supplementation is a viable strategy to protect oocytes from diabetes-related deterioration, thereby enhancing reproductive outcomes in maternal diabetes and improving the efficacy of assisted reproductive technology.
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Affiliation(s)
- Chenlu Wei
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinxin Zeng
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Keer Wang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengchen Wang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Min Lei
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhenye Zhu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yining Xu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanqing Zhao
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qingling Yang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yingpu Sun
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Cao S, Wan Y, Xiong Z, Li R, Wang Y, Qian X, Chen R, Wang J, Zhang L, Cui Y, Cheng R, Li Y, Xu S, Xia W. Trimester-specific associations of exposure to epoxide alkanes, alkenals, and 1,3-butadiene with preschool children's intellectual development: A birth cohort study in Wuhan, China. ENVIRONMENT INTERNATIONAL 2025; 199:109456. [PMID: 40252551 DOI: 10.1016/j.envint.2025.109456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Revised: 04/07/2025] [Accepted: 04/10/2025] [Indexed: 04/21/2025]
Abstract
The impact of prenatal exposure to contaminants with neurotoxicity like epoxide alkanes (ethylene oxide, propylene oxide), alkenals (acrolein, crotonaldehyde), and 1,3-butadiene on children's intellectual development remains underreported, and related sensitive window is of interest. In this cohort study, metabolites of these contaminants were measured in 3,081 urine samples from 1,027 pregnant women across three trimesters. Children's intelligence quotient was evaluated at 4-6 years old. Generalized estimating equation models showed that higher urinary concentrations of 2-hydroxypropyl mercapturic acid (a metabolite of propylene oxide), 3-hydroxypropyl mercapturic acid (HPMMA, a metabolite of crotonaldehyde), and the sum of acrolein metabolites in the first trimester were associated with lower visual spatial index (VSI), working memory index (WMI), or processing speed index scores. Quantile g-computation models revealed that co-exposure to these contaminants in the first trimester were associated with lower VSI (β = -0.98, 95 % CI: -1.94, -0.03) and WMI (β = -0.86, 95 % CI: -1.66, -0.06) scores, with HPMMA as the major contributor. These results suggested that early pregnancy could be a sensitive window during which exposure to propylene oxide, crotonaldehyde, and acrolein may impair offspring's intellectual development.
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Affiliation(s)
- Shuting Cao
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Yanjian Wan
- Center for Public Health Laboratory Service, Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Zhaoying Xiong
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Ruiying Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Yin Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Xi Qian
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Ruixin Chen
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Jingyu Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Liping Zhang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Yuan Cui
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Rongrong Cheng
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Yuanyuan Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
| | - Shunqing Xu
- School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, PR China.
| | - Wei Xia
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, PR China.
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8
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Qian L, Xin T, Xu W, Zhu J. Effect of maternal gestational diabetes mellitus on neurodevelopment in late preterm infants at the corrected age of 12 months. Sci Rep 2025; 15:14139. [PMID: 40269066 PMCID: PMC12019377 DOI: 10.1038/s41598-025-98987-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2024] [Accepted: 04/16/2025] [Indexed: 04/25/2025] Open
Abstract
Previous studies have examined the associations of gestational diabetes mellitus(GDM) with autism spectrum disorder and attention deficit hyperactivity disorder. However, the associations between GDM and other neurodevelopmental domains, such as the motor and language, are rarely studied. The primary objective of this study was to examine the effect of maternal GDM on the neurodevelopmental outcomes of late preterm infants at the corrected age of 12 months. This prospective cohort study included 205 late preterm infants born between January 1, 2022, and June 30, 2023 in Jiangsu, China. These infants were grouped according to whether their mothers had GDM, and their neurodevelopment was assessed using the Gesell Developmental Schedules (GDS) at 3, 6, and 12 months of corrected age. Statistical analyses were performed to compare the differences in various parameters between the two groups. A total of 205 infants were enrolled in the study, with 61 in the GDM group and 144 in the non-GDM group. At the corrected age of 3 and 6 months, no significant differences (P > 0.05) were observed in the gross motor, fine motor, adaptability, language, and social-emotional response, nor in rates of abnormal scores, between the GDM and non-GDM groups. However, at the corrected age of 12 months, the GDM group exhibited significantly lower scores in gross motor function and fine motor function compared to the non-GDM group (P < 0.05), while the abnormal rate of language was significantly lower in the GDM group (P < 0.05). Maternal GDM may adversely affect gross motor, fine motor, and language development in late preterm infants at the corrected age of 12 months. These findings highlight the importance of early monitoring and intervention for neurodevelopmental outcomes in this population. Future research should explore the underlying mechanisms and long-term neurodevelopmental trajectories associated with maternal GDM, providing additional insights for clinical practice and public health strategies.
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Affiliation(s)
- Lidan Qian
- The First People's Hospital of Zhangjiagang City, No. 68 Jiyang West Road, Zhangjiagang, China
| | - Tiantian Xin
- The First People's Hospital of Zhangjiagang City, No. 68 Jiyang West Road, Zhangjiagang, China
| | - Weidong Xu
- The First People's Hospital of Zhangjiagang City, No. 68 Jiyang West Road, Zhangjiagang, China
| | - Jialin Zhu
- The First People's Hospital of Zhangjiagang City, No. 68 Jiyang West Road, Zhangjiagang, China.
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9
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Cendra-Duarte E, Becerra-Tomás N, Canals J, Jardí C, Arija V. Association of Prenatal Healthy and Unhealthy Plant-Based Diets with Behavioral Outcomes in Preschool Children. Nutrients 2025; 17:1372. [PMID: 40284235 PMCID: PMC12030138 DOI: 10.3390/nu17081372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2025] [Revised: 04/14/2025] [Accepted: 04/17/2025] [Indexed: 04/29/2025] Open
Abstract
BACKGROUND/OBJECTIVES Dietary patterns rich in plant-based foods during pregnancy have been associated with neurodevelopmental outcomes in offspring. However, not all components of these diets are healthy, and the impact of their quality on behavioral outcomes remains unexplored. Therefore, this study aimed to examine the association between healthy and unhealthy plant-based diets and offspring behavioral problems at the age of four. METHODS This research involved 201 mother-child pairs from the ECLIPSES study. Maternal diet during pregnancy was assessed using a validated food frequency questionnaire, from which the healthy plant-based diet index (hPDI) was calculated, emphasizing the consumption of fruits, vegetables, legumes and nuts, along with the unhealthy plant-based diet index (uPDI), highlighting the intake of sugary drinks and refined grains. Children's behavior was evaluated using the Child Behavior Checklist 1.5-5. Multivariable logistic regression analyses were conducted to estimated odds ratios (ORs) and their 95% confidence intervals (CIs). RESULTS Greater adherence to the uPDI during pregnancy was associated with higher odds for externalizing problems, including attention-deficit/hyperactivity problems (OR = 1.08; 95%CI from 1.01 to 1.16) and oppositional defiant behavior (OR = 1.09; 95%CI from 1.00 to 1.19) in offspring, particularly girls. Higher adherence to the hPDI was not associated with children's behavior. CONCLUSIONS The consumption of unhealthy components of a plant-based dietary pattern during gestation has been associated with adverse behavioral outcomes in children at age four. These findings underscore the importance of discerning between the healthy and unhealthy components of plant-based diets when assessing their impact on child development.
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Affiliation(s)
- Esther Cendra-Duarte
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, 43204 Reus, Spain; (E.C.-D.); (N.B.-T.); (J.C.); (C.J.)
- Collaborative Group on Lifestyles, Nutrition, and Tobacco (CENIT), Institut d’Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut (ICS), 43202 Reus, Spain
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, 43204 Reus, Spain; (E.C.-D.); (N.B.-T.); (J.C.); (C.J.)
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43003 Tarragona, Spain
| | - Josefa Canals
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, 43204 Reus, Spain; (E.C.-D.); (N.B.-T.); (J.C.); (C.J.)
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43003 Tarragona, Spain
- Universitat Rovira i Virgili, Department of Psychology, Centre de Recerca en Avaluació i Mesura de la Conducta (CRAMC), 43007 Tarragona, Spain
| | - Cristina Jardí
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, 43204 Reus, Spain; (E.C.-D.); (N.B.-T.); (J.C.); (C.J.)
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43003 Tarragona, Spain
| | - Victoria Arija
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, 43204 Reus, Spain; (E.C.-D.); (N.B.-T.); (J.C.); (C.J.)
- Collaborative Group on Lifestyles, Nutrition, and Tobacco (CENIT), Institut d’Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut (ICS), 43202 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43003 Tarragona, Spain
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10
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Nafadi E, Farag W. Which has a more protective effect against neuronal changes in the cingulate cortex of newborn rats of diabetic mothers: omega 3 or glutathione? Ultrastruct Pathol 2025; 49:243-256. [PMID: 40214094 DOI: 10.1080/01913123.2025.2490161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2025] [Revised: 03/24/2025] [Accepted: 04/03/2025] [Indexed: 04/15/2025]
Abstract
Different researches suggests that unchecked maternal hyperglycemia during pregnancy may negatively impact the offspring's neurodevelopment. Omega 3 polyunsaturated fatty acids are vital antioxidant micronutrients for neurological health. Glutathione (GSH) is an essential non-enzymatic antioxidant in mammalian cells. The study aimed to assess the possible ameliorative effect of omega3 versus GSH against the neuronal changes in the cingulate cortex of new born rats of diabetic mothers. Fifty female rats were divided randomly into 5 equal groups: Group I given saline, group II where induction of diabetes by single intraperitoneal injection of 150 mg/kg of alloxan monohydrate, group III given oral omega 3 at a dose of 300 mg/kg, group IV given intraperitoneal injections of GSH at a dose of (200 mg/kg) and group V given both omega 3 and GSH with the same routes and regimens as group III and IV throughout the whole pregnancy. The newborn of each group was collected and anaesthetized then brain specimens were extracted and processed for the light, immunohistochemical and electron microscopic studies. Group II showed marked degenerative changes in the all layers of cingulate cortex by light and electron microscopy. The cingulate cortex of group V showed the most degree of improvement in comparison to group III and IV. There was strong caspase3 immunoreaction in group II while weak reaction appeared with group III, IV and V. We concluded that the combined administration of omega 3 and GSH mitigate the adverse effects of maternal diabetes on the newborn's cingulate cortex.
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Affiliation(s)
- Esraa Nafadi
- Department of Human Anatomy and Embryology, Faculty of Medicine, Assiut University Egypt, Assiut Governorate, Egypt
| | - Walaa Farag
- Department of Human Anatomy and Embryology, Faculty of Medicine, Assiut University Egypt, Assiut Governorate, Egypt
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11
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Wood EK, Nomura O, Ablow JC, Elliot A, Horgan A, Nigg JT, Gustafsson HC, Sullivan EL. Higher prenatal dietary glycemic index in the third trimester of pregnancy is associated with infant negative affect at 6 months. Sci Rep 2025; 15:8357. [PMID: 40069302 PMCID: PMC11897411 DOI: 10.1038/s41598-025-91886-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 02/24/2025] [Indexed: 03/15/2025] Open
Abstract
The dietary glycemic index (GI) reflects post-prandial plasma glucose generation rate, with higher-GI foods rapidly increasing blood sugar. Prenatal consumption of high-GI foods is associated with offspring risk for obesity and metabolic disorders. The impact of prenatal dietary GI exposure on infant neurodevelopment remains unclear. Maternal dietary intake, percent adiposity, and insulin resistance were prospectively assessed during the second and third trimesters in a sample of women with healthy, singleton pregnancies (N = 302). Infant negative affect was prospectively assessed at six months using observer ratings (Still Face Paradigm) and caregiver-reports (Infant-Behavior Questionnaire-Revised). Structural equation models assessed the independent effects of second and third trimester maternal dietary GI, adiposity, insulin resistance on infant negative affect, adjusted for relevant covariates. Higher third, but not second, trimester dietary GI was associated with increased observer-rated infant negative affect (β = 0.14, p = .04) and with higher caregiver-reported infant sadness (β = 0.17, p = .01), suggesting a programming effect of prenatal dietary GI on infant neurodevelopment. Targeted interventions that decrease dietary GI in later pregnancy may prove more effective for optimizing infant behavioral health compared to longer-term changes needed to alter metabolic state. Identifying modifiable early contributors to infant negative affect supports proactive strategies for mitigating future psychopathology risk.
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Affiliation(s)
- Elizabeth K Wood
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, 97239, USA
- Center for Mental Health Innovation, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Olivia Nomura
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, 97239, USA
- Center for Mental Health Innovation, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Jennifer C Ablow
- Department of Psychology, University of Oregon, Eugene, OR, 97403, USA
| | - Annaliese Elliot
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, 97239, USA
- Center for Mental Health Innovation, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Angela Horgan
- Clinical & Translational Research Center, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Joel T Nigg
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, 97239, USA
- Center for Mental Health Innovation, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Hanna C Gustafsson
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, 97239, USA
- Center for Mental Health Innovation, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Elinor L Sullivan
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, 97239, USA.
- Center for Mental Health Innovation, Oregon Health & Science University, Portland, OR, 97239, USA.
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, 97239, USA.
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, 97006, USA.
- Departments of Psychiatry and Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, 97239, USA.
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12
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Huang H, Apaijai N, Thonusin C, Suntornsaratoon P, Chattipakorn N, Charoenphandhu N, Chattipakorn SC. Mothers with obesity and gestational diabetes did not induce brain pathologies or premature brain aging in their adolescent and early adult offspring in rats. Neuroscience 2025; 568:454-464. [PMID: 39894436 DOI: 10.1016/j.neuroscience.2025.01.056] [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: 11/11/2024] [Revised: 01/22/2025] [Accepted: 01/28/2025] [Indexed: 02/04/2025]
Abstract
This study investigated the effect of a medium high-fat diet (HFD)-induced maternal obesity and gestational diabetes mellitus (GDM) on rat offspring to verify the hypothesis that maternal obesity and GDM cause brain pathologies and premature brain aging in the prefrontal cortex and hippocampus of the adolescent and early adult offspring. Maternal obesity and GDM were generated by a medium HFD and HFD combined with streptozotocin, respectively. Metabolic parameters were used to confirm the successful model in mothers. Systemic alterations and brain pathology were investigated in their adolescent and early adult offspring. During pregnancy, HFD-fed rats exhibited obesity, while GDM rats had hyperglycemia with insulin resistance. Offspring from high-fat diet dams (OHFD) had higher body weight when compared with offspring from normal diet dams (OND), while offspring from gestational diabetes mellitus dams (OGDM) had lower body weight than OHFD but comparable with OND. No significant alterations were found in glucose tolerance, systemic oxidative stress, and inflammation in the offspring. Additionally, neither adolescent nor early adult rats OHFD or OGDM developed brain pathologies or premature aging with no difference in oxidative stress, inflammation, mitochondrial dynamics, mitophagy, blood-brain barrier, synaptic plasticity, apoptosis, and aging markers among the offspring groups. Our results indicated that maternal obesity and GDM did not cause brain pathologies or premature brain aging at the adolescent and early adult stages of offspring in rats. Our study highlights the importance of maintaining a healthy diet in the offspring of obese and GDM mothers to keep healthy later in their lives.
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Affiliation(s)
- Huatuo Huang
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Center for Medical Laboratory Science, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Nattayaporn Apaijai
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand
| | - Chanisa Thonusin
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand
| | - Panan Suntornsaratoon
- Center of Calcium and Bone Research (COCAB), Faculty of Science, Mahidol University, Bangkok, Thailand; Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Nipon Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Narattaphol Charoenphandhu
- Center of Calcium and Bone Research (COCAB), Faculty of Science, Mahidol University, Bangkok, Thailand; Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand; The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand; Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand.
| | - Siriporn C Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
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13
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Mittal R, Prasad K, Lemos JRN, Arevalo G, Hirani K. Unveiling Gestational Diabetes: An Overview of Pathophysiology and Management. Int J Mol Sci 2025; 26:2320. [PMID: 40076938 PMCID: PMC11900321 DOI: 10.3390/ijms26052320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Revised: 02/14/2025] [Accepted: 02/28/2025] [Indexed: 03/14/2025] Open
Abstract
Gestational diabetes mellitus (GDM) is characterized by an inadequate pancreatic β-cell response to pregnancy-induced insulin resistance, resulting in hyperglycemia. The pathophysiology involves reduced incretin hormone secretion and signaling, specifically decreased glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP), impairing insulinotropic effects. Pro-inflammatory cytokines, including tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6), impair insulin receptor substrate-1 (IRS-1) phosphorylation, disrupting insulin-mediated glucose uptake. β-cell dysfunction in GDM is associated with decreased pancreatic duodenal homeobox 1 (PDX1) expression, increased endoplasmic reticulum stress markers (CHOP, GRP78), and mitochondrial dysfunction leading to impaired ATP production and reduced glucose-stimulated insulin secretion. Excessive gestational weight gain exacerbates insulin resistance through hyperleptinemia, which downregulates insulin receptor expression via JAK/STAT signaling. Additionally, hypoadiponectinemia decreases AMP-activated protein kinase (AMPK) activation in skeletal muscle, impairing GLUT4 translocation. Placental hormones such as human placental lactogen (hPL) induce lipolysis, increasing circulating free fatty acids which activate protein kinase C, inhibiting insulin signaling. Placental 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) overactivity elevates cortisol levels, which activate glucocorticoid receptors to further reduce insulin sensitivity. GDM diagnostic thresholds (≥92 mg/dL fasting, ≥153 mg/dL post-load) are lower than type 2 diabetes to prevent fetal hyperinsulinemia and macrosomia. Management strategies focus on lifestyle modifications, including dietary carbohydrate restriction and exercise. Pharmacological interventions, such as insulin or metformin, aim to restore AMPK signaling and reduce hepatic glucose output. Emerging therapies, such as glucagon-like peptide-1 receptor (GLP-1R) agonists, show potential in improving glycemic control and reducing inflammation. A mechanistic understanding of GDM pathophysiology is essential for developing targeted therapeutic strategies to prevent both adverse pregnancy outcomes and the progression to overt diabetes in affected women.
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Affiliation(s)
| | | | | | | | - Khemraj Hirani
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; (K.P.); (J.R.N.L.); (G.A.)
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14
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Oikonomou E, Chatzakis C, Stavros S, Potiris A, Nikolettos K, Sotiriou S, Domali E, Nikolettos N, Sotiriadis A, Gerede A. A Review of the Impact of Gestational Diabetes on Fetal Brain Development: An Update on Neurosonographic Markers During the Last Decade. Life (Basel) 2025; 15:210. [PMID: 40003619 PMCID: PMC11856126 DOI: 10.3390/life15020210] [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: 12/10/2024] [Revised: 01/28/2025] [Accepted: 01/29/2025] [Indexed: 02/27/2025] Open
Abstract
Gestational diabetes mellitus (GDM) is a prevalent medical complication in pregnancy that is rapidly escalating worldwide, with epidemic implications. This systematic review aims to identify fetal brain changes using neurosonography and pinpoint potential markers for the early diagnosis of GDM. We conducted a literature search from 6 January 2013 to 4 September 2024 to identify studies examining fetal brain development using ultrasound in pregnancies affected by GDM compared to uncomplicated pregnancies. The outcome measures included the cavum septum pellucidum (CSP), corpus callosum (CC), lateral ventricle (LV), cisterna magna (CM), transcerebellar diameter (TCD), cerebral fissures (CF), and others. For pregnancies affected by GDM, results were reported. Five studies were included. The findings suggest that the width of the CSP was larger in fetuses of mothers with GDM compared to the control group, and the mean widths of LVs were also larger in the fetuses of diabetic mothers compared to the control group. The influence of GDM on fetal brain development as assessed by neurosonography necessitates thorough investigation in future studies.
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Affiliation(s)
- Efthymios Oikonomou
- Unit of Maternal-Fetal-Medicine, Department of Obstetrics and Gynecology, Medical School, Democritus University of Thrace, GR-68100 Alexandroupoli, Greece; (E.O.); (K.N.); (N.N.)
| | - Christos Chatzakis
- Second Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece; (C.C.); (A.S.)
| | - Sofoklis Stavros
- Third Department of Obstetrics and Gynecology, Medical School, National and Kapodistrian University of Athens, GR-11527 Athens, Greece; (S.S.); (A.P.)
| | - Anastasios Potiris
- Third Department of Obstetrics and Gynecology, Medical School, National and Kapodistrian University of Athens, GR-11527 Athens, Greece; (S.S.); (A.P.)
| | - Konstantinos Nikolettos
- Unit of Maternal-Fetal-Medicine, Department of Obstetrics and Gynecology, Medical School, Democritus University of Thrace, GR-68100 Alexandroupoli, Greece; (E.O.); (K.N.); (N.N.)
| | - Sotirios Sotiriou
- Department of Embryology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41334 Larissa, Greece;
| | - Ekaterini Domali
- First Department of Obstetrics and Gynecology, Medical School, National and Kapodistrian University of Athens, GR-11527 Athens, Greece;
| | - Nikolaos Nikolettos
- Unit of Maternal-Fetal-Medicine, Department of Obstetrics and Gynecology, Medical School, Democritus University of Thrace, GR-68100 Alexandroupoli, Greece; (E.O.); (K.N.); (N.N.)
| | - Alexandros Sotiriadis
- Second Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece; (C.C.); (A.S.)
| | - Angeliki Gerede
- Unit of Maternal-Fetal-Medicine, Department of Obstetrics and Gynecology, Medical School, Democritus University of Thrace, GR-68100 Alexandroupoli, Greece; (E.O.); (K.N.); (N.N.)
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15
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Pretorius RA, Avraam D, Guxens M, Julvez J, Harris JR, Nader JT, Cadman T, Elhakeem A, Strandberg-Larsen K, Marroun HE, Defina S, Yang TC, McEachan R, Wright J, Ibarluzea J, Santa-Marina L, Delgado JM, Rebagliato M, Charles MA, Vainqueur C, Maritano S, Zugna D, Yuan WL, Heude B, Huang RC. Is maternal diabetes during pregnancy associated with neurodevelopmental, cognitive and behavioural outcomes in children? Insights from individual participant data meta-analysis in ten birth cohorts. BMC Pediatr 2025; 25:76. [PMID: 39885386 PMCID: PMC11783732 DOI: 10.1186/s12887-024-05365-y] [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: 06/20/2024] [Accepted: 12/24/2024] [Indexed: 02/01/2025] Open
Abstract
BACKGROUND Growing evidence shows that dysregulated metabolic intrauterine environments can affect offspring's neurodevelopment and behaviour. However, the results of individual cohort studies have been inconsistent. We aimed to investigate the association between maternal diabetes before pregnancy and gestational diabetes mellitus (GDM) with neurodevelopmental, cognitive and behavioural outcomes in children. METHODS Harmonised data from > 200 000 mother-child pairs across ten birth cohorts in Europe and Australia were available. Mother-child pairs were included for analysis to determine whether GDM was recorded (yes or no) and whether at least one neurodevelopmental, cognitive and behavioural outcome was available in children aged 3 to 13 years. Confounder-adjusted regression models were used to estimate associations between maternal diabetes and child outcomes using two-stage individual participant data (IPD) meta-analysis. Model 1 included a crude estimate. The full adjustment model (model 2) included adjustment for child sex, maternal age, pre-pregnancy BMI, pregnancy weight gain, maternal smoking during pregnancy, plurality, parity and maternal education. RESULTS Children (aged 7-10 years) born to mothers with GDM had higher attention-deficient hyperactive disorder (ADHD) symptoms compared to non-exposed controls (model 2, regression coefficient (β) 3.67 (95% CI 1.13, 6.20), P = 0.001). Moreover, children (aged 4-6 years) born to mothers with GDM exhibited more externalising problems than those born to mothers without GDM (model 2, β 2.77 (95% CI 0.52, 5.02), P = 0.01). A pre-existing maternal history of type 1 and type 2 diabetes mellitus was associated with ADHD symptoms at 4-6 years (model 1, β 8.82 (95% CI 2.21, 15.45, P = 0.009) and β 7.90 (95% CI 0.82, 14.98, P = 0.02), respectively). The association was no longer apparent in further adjustments. CONCLUSIONS This study found that children between 4 - 6 and 7-10 years of age born to mothers with GDM have a greater likelihood of developing externalising problems and ADHD symptoms, respectively. Externalising problems often co-exist with ADHD symptoms and precede formal ADHD diagnosis. Overall, this large-scale multi-cohort study suggested that a dysregulated metabolic environment during pregnancy may contribute to ADHD symptoms and externalising problems in young children.
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Affiliation(s)
- Rachelle A Pretorius
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, WA, Australia.
- Medical School, The University of Western Australia, Crawly, Perth, WA, Australia.
- School of Medical, Molecular and Forensic Sciences, College of Environmental and Life Sciences, Murdoch University, Murdoch, Perth, WA, Australia.
| | - Demetris Avraam
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Mònica Guxens
- ISGlobal in Barcelona, Barcelona, Catalonia, Spain
- Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Jordi Julvez
- ISGlobal in Barcelona, Barcelona, Catalonia, Spain
- Clinical and Epidemiological Neuroscience Group (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus (Tarragona), Catalonia, Barcelona, Spain
| | - Jennifer R Harris
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Johanna Thorbjornsrud Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Tim Cadman
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- UMCG Genetics Department, Genetics Department, University Medical Centre Groningen, GCC - Genomic Coordination Centre), Groningen, The Netherlands
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Hanan El Marroun
- Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Serena Defina
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rosie McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Jesús Ibarluzea
- Biogipuzkoa Health Research Institute, Environmental Epidemiology and Child Development San Sebastian, Madrid, Spain
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, San Sebastian, Madrid, Spain
| | - Juana Mari Delgado
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, Castellón de la Plana, 12071, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Marisa Rebagliato
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, Castellón de la Plana, 12071, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Paris, F-75004, France
- Joint unit Elfe, Ined, Inserm, Aubervilliers, 93322, France
| | - Chloe Vainqueur
- Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Paris, F-75004, France
| | - Silvia Maritano
- Cancer Epidemiology Unit, Medical Science Department, University of Turin and CPO Piemonte, Via Santena 7, Turin, 10126, Italy
- University School for Advanced Studies IUSS, Palazzo del Broletto, Piazza della Vittoria, Pavia, PV, 27100, Italy
| | - Daniela Zugna
- Cancer Epidemiology Unit, Medical Science Department, University of Turin and CPO Piemonte, Via Santena 7, Turin, 10126, Italy
| | - Wen Lun Yuan
- Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Paris, F-75004, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Paris, F-75004, France
| | - Rae-Chi Huang
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, WA, Australia
- The Kids Research Institute Australia, The University of Western Australia, WA, Perth, Australia
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Dudzik D, Atanasova V, Barbas C, Bartha JL. First-trimester metabolic profiling of gestational diabetes mellitus: insights into early-onset and late-onset cases compared with healthy controls. Front Mol Biosci 2025; 11:1452312. [PMID: 39881810 PMCID: PMC11774710 DOI: 10.3389/fmolb.2024.1452312] [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: 06/20/2024] [Accepted: 12/30/2024] [Indexed: 01/31/2025] Open
Abstract
Introduction Gestational diabetes mellitus (GDM) is a global health concern with significant short and long-term complications for both mother and baby. Early prediction of GDM, particularly late-onset, is crucial for implementing timely interventions to mitigate adverse outcomes. In this study, we conducted a comprehensive metabolomic analysis to explore potential biomarkers for early GDM prediction. Methods Plasma samples were collected during the first trimester from 60 women: 20 with early-onset GDM, 20 with late-onset GDM, and 20 with normal glucose tolerance. Using advanced analytical techniques, including liquid chromatography-tandem mass spectrometry (LC-MS/MS) and gas chromatography-mass spectrometry (GC-MS), we profiled over 150 lipid species and central carbon metabolism intermediates. Results Significant metabolic alterations were observed in both early- and late-onset GDM groups compared to healthy controls, with a specific focus on glycerolipids, fatty acids, and glucose metabolism. Key findings revealed a 4.0-fold increase in TG(44:0), TG(46:0), TG(46:1) with p-values <0.001 and TG(46:2) with 4.7-fold increase and p-value <0.0001 as well as changes in several phospholipids as PC(38:3), PC(40:4) with 1.4-fold increase, p < 0.001 and PE(34:1), PE(34:2) and PE(36:2) with 1.5-fold change, p < 0.001 in late-onset GDM. Discussion Observed lipid changes highlight disruptions in energy metabolism and inflammatory pathways. It is suggested that lipid profiles with distinct fatty acid chain lengths and degrees of unsaturation can serve as early biomarkers of GDM risk. These findings underline the importance of integrating metabolomic insights with clinical data to develop predictive models for GDM. Such models could enable early risk stratification, allowing for timely dietary, lifestyle, or medical interventions aimed at optimizing glucose regulation and preventing complications such as preeclampsia, macrosomia, and neonatal metabolic disorders. By focusing on metabolic disruptions evident in the first trimester, this approach addresses a critical window for improving maternal and fetal outcomes. Our study demonstrates the value of metabolomics in understanding the metabolic perturbations associated with GDM. Future research is needed to validate these biomarkers in larger cohorts and assess their integration into clinical workflows for personalized pregnancy care.
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Affiliation(s)
- Danuta Dudzik
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdańsk, Gdańsk, Poland
| | - Vangeliya Atanasova
- Division of Maternal and Fetal Medicine, Fundación Para la Investigación Biomédica, La Paz University Hospital, Madrid, Spain
| | - Coral Barbas
- Department of Chemistry and Biochemistry, Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain
| | - Jose Luis Bartha
- Division of Maternal and Fetal Medicine, Fundación Para la Investigación Biomédica, La Paz University Hospital, Madrid, Spain
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Jiang Z, Li G, Zeng S, Li J, Li Y, Lin J, Fan Q. Causal Relationship between Attention-Deficit Hyperactivity Disorder and Autism Spectrum Disorder: A Two-Sample Mendelian Randomization. Br J Hosp Med (Lond) 2024; 85:1-16. [PMID: 39831504 DOI: 10.12968/hmed.2024.0588] [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] [Indexed: 01/22/2025]
Abstract
Aims/Background Despite the exponential increase in the incidence rate of Autism spectrum disorder (ASD), effective therapies for the disorder are still limited. According to vast clinical observations, the pathogeneses of ASD and Attention-deficit hyperactivity disorder (ADHD) share a great deal of similarities. This serves as a prompt to investigate, in this study, whether patients with ADHD are at a higher risk for ASD, which is significant for disease prevention. Methods Data concerning ADHD as the exposure variable and ASD as the outcome variable were collected from the publicly available Integrative Epidemiology Unit Open GWAS project (IEU GWAS) database. After screening the instrumental variables (IVs), statistical analysis was performed using the TwoSampleMR package of version R4.3.1, and sensitivity testing was conducted to evaluate the stability and reliability of the results. Results After screening the Single nucleotide polymorphisms (SNPs) through the calculation of F-value and Mendelian randomization (MR) Pleiotropy RESidual Sum and Outlier test (MR-PRESSO), seven SNPs that satisfied the three major assumptions of Mendelian randomization were selected as IVs and could be used in place of ADHD in exploring the aforementioned causal relationship. The Odds ratio (OR) for the random-effect Inverse-variance weighted (IVW) method was 1.31 (95% Confidence interval [CI]: 1.14-1.52; p = 0.0001). A similar trend was observed for the Weighted median estimator (WME) method, with an OR of 1.37 (wider 95% CI: 1.15-1.64; p = 0.0005). Conclusion This study includes the pooled data on ADHD and ASD from the IEU GWAS public database, and there is sufficient evidence that patients with ADHD have a higher risk of ASD.
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Affiliation(s)
- Ziqing Jiang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Guanhong Li
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Siying Zeng
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Jingjun Li
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yongchun Li
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jintao Lin
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qin Fan
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China
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18
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Di Pietrantonio N, Sánchez-Ceinos J, Shumliakivska M, Rakow A, Mandatori D, Di Tomo P, Formoso G, Bonfini T, Baldassarre MPA, Sennström M, Almahmeed W, Pandolfi A, Cosentino F. The inflammatory and oxidative phenotype of gestational diabetes is epigenetically transmitted to the offspring: role of methyltransferase MLL1-induced H3K4me3. Eur Heart J 2024; 45:5171-5185. [PMID: 39471481 DOI: 10.1093/eurheartj/ehae688] [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: 02/08/2024] [Revised: 06/16/2024] [Accepted: 09/25/2024] [Indexed: 11/01/2024] Open
Abstract
BACKGROUND AND AIMS Hyperglycaemia during gestational diabetes (GD) predisposes women and their offspring to later cardiometabolic disease. The hyperglycaemia-mediated epigenetic changes remain to be elucidated. Methyltransferase MLL1-induced trimethylation of histone 3 at lysine 4 (H3K4me3) activates inflammatory and oxidative phenotype. This epigenetic mark in GD women and its transmission to the offspring were investigated. METHODS Peripheral blood mononuclear cells (PBMC) were collected from GD and control (C) women and also from adolescents born to women of both groups. Endothelial human umbilical vein endothelial cells (HUVEC) and cord blood mononuclear cells (CBMC) were from umbilical cords. The NF-κBp65 and NOX4 expressions were investigated by reverse transcription quantitative polymerase chain reaction and immunofluorescence (IF). MLL1 and H3K4me3 were investigated by immunoblotting and IF. H3K4me3 on NF-κBp65 and NOX4 promoters was studied by chromatin immunoprecipitation. Superoxide anion generation was measured by electron spin resonance spectroscopy. Plasma cytokines were measured by enzyme-linked immunosorbent assay. To investigate the role of MLL1, HUVEC were exposed to inhibitor MM102 or siRNA transfection. RESULTS PBMC, CBMC, and HUVEC showed an increase of NF-κBp65, IL-6, ICAM-1, MCP-1, and VCAM-1 mRNAs. These findings were associated with H3K4me3 enrichment in the promoter of NF-κBp65. Elevated H3K4me3 and cytokine levels were observed in GD adolescents. MLL1 drives H3K4me3 not only on NF-kB p65, but also on NOX4 promoter. Inhibition of MLL1 blunted NF-κBp65 and NOX4 by modulating inflammatory and oxidative phenotype. CONCLUSIONS Such proof-of-concept study shows persistence of MLL1-dependent H3K4me3 in offspring born to GD women, suggesting an epigenetic-driven transmission of maternal phenotype. These findings may pave the way for pharmacological reprogramming of adverse histone modifications to mitigate abnormal phenotypes underlying early ASCVD.
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Affiliation(s)
- Nadia Di Pietrantonio
- Cardiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm 171 76, Sweden
- Department of Medical, Oral and Biotechnological Sciences, Center for Advanced Studies and Technology-CAST, University G. D'Annunzio of Chieti-Pescara, Chieti 66100, Italy
| | - Julia Sánchez-Ceinos
- Cardiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm 171 76, Sweden
| | - Mariana Shumliakivska
- Cardiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm 171 76, Sweden
| | - Alexander Rakow
- Department of Neonatology, Karolinska University Hospital, Stockholm, Sweden
| | - Domitilla Mandatori
- Department of Medical, Oral and Biotechnological Sciences, Center for Advanced Studies and Technology-CAST, University G. D'Annunzio of Chieti-Pescara, Chieti 66100, Italy
| | - Pamela Di Tomo
- Department of Medical, Oral and Biotechnological Sciences, Center for Advanced Studies and Technology-CAST, University G. D'Annunzio of Chieti-Pescara, Chieti 66100, Italy
| | - Gloria Formoso
- Department of Medicine and Aging Sciences, Center for Advanced Studies and Technology-CAST, University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Tiziana Bonfini
- Department of Oncology Hematology, Pescara Hospital, Pescara, Italy
| | - Maria Pompea Antonia Baldassarre
- Department of Medicine and Aging Sciences, Center for Advanced Studies and Technology-CAST, University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Maria Sennström
- Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden
| | - Wael Almahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE
| | - Assunta Pandolfi
- Department of Medical, Oral and Biotechnological Sciences, Center for Advanced Studies and Technology-CAST, University G. D'Annunzio of Chieti-Pescara, Chieti 66100, Italy
| | - Francesco Cosentino
- Cardiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm 171 76, Sweden
- Heart and Vascular Theme, Karolinska University Hospital, Stockholm 171 76, Sweden
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19
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Zheng W, Yuan X, Zhao J, Han W, Huang J, Yan X, Zhang L, Li L, Wang S, Kong Y, Li G. Neonatal Amino Acids and Acylcarnitines Associated With Maternal Blood Glucose Levels Throughout Pregnancy: Insights From the Beijing Birth Cohort Study. Diabetes Care 2024; 47:2128-2138. [PMID: 38861482 DOI: 10.2337/dc23-2489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 05/15/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVE To determine the association between maternal blood glucose patterns throughout pregnancy and neonatal amino acids and acylcarnitines. RESEARCH DESIGN AND METHODS We conducted a prospective cohort study involving 11,457 singleton pregnant women without preexisting diabetes from the Beijing Birth Cohort Study, along with their neonates born between July 2021 and October 2022 in Beijing, China. Distinct maternal glucose trajectories were identified using a latent class model based on blood glucose levels across the three trimesters, and their association with neonatal circulating metabolites, including 11 amino acids and 33 acylcarnitines, was examined, adjusting for potential confounding factors. RESULTS Three distinct groups of maternal glucose trajectories were identified: consistent normoglycemia (n = 8,648), mid-to-late gestational hyperglycemia (n = 2,540), and early-onset hyperglycemia (n = 269). Mid-to-late gestational hyperglycemia was associated with decreased levels of amino acids (alanine, arginine, ornithine, and proline) involved in the arginine and proline metabolism and urea cycle pathway, as well as increased levels of C4DC+C5-OH and decreased level of C6DC and C10:1. Early-onset hyperglycemia was associated with elevated levels of free acylcarnitine and C4DC+C5-OH and a decreased level of C10:1, involved in the fatty acid oxidation pathway. However, these associations were primarily observed in male neonates rather than in female neonates. CONCLUSIONS Our findings revealed a significant link between maternal glucose trajectories throughout pregnancy and neonatal arginine and proline metabolism, urea cycle pathway, and fatty acid oxidation pathway. These results highlight the importance of maintaining optimal blood glucose levels throughout pregnancy to promote healthy neonatal metabolic outcomes.
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Affiliation(s)
- Wei Zheng
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xianxian Yuan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Jinqi Zhao
- Beijing Maternal and Child Health Care Hospital, Beijing, China
- Department of Newborn Screening Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Weiling Han
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Junhua Huang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xin Yan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Lirui Zhang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Lulu Li
- Beijing Maternal and Child Health Care Hospital, Beijing, China
- Department of Newborn Screening Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Shunan Wang
- Beijing Maternal and Child Health Care Hospital, Beijing, China
- Department of Newborn Screening Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Yuanyuan Kong
- Beijing Maternal and Child Health Care Hospital, Beijing, China
- Department of Newborn Screening Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Guanghui Li
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
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20
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Al-Gailani L, Al-Kaleel A. The Relationship Between Prenatal, Perinatal, and Postnatal Factors and ADHD: The Role of Nutrition, Diet, and Stress. Dev Psychobiol 2024; 66:e70004. [PMID: 39508433 DOI: 10.1002/dev.70004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 10/14/2024] [Accepted: 10/25/2024] [Indexed: 11/15/2024]
Abstract
Attention-Deficit Hyperactive Disorder (ADHD) is a neurobehavioral syndrome affecting children aged 6-17 with symptoms manifesting before age 12. ADHD presents heterogeneously and is associated with various psychiatric disorders. The cause remains elusive, but genetic and environmental factors, brain region maturation delays, and neurotransmitter dysregulation are implicated. Effective treatment requires a multi-disciplinary approach, primarily involving pharmacological and behavioral intervention. Stimulants like methylphenidate and amphetamines are first-line medications, but non-stimulants may be considered for some patients. However, stimulants face challenges related to misuse, dependence, and long-term tolerability issues. The etiology of ADHD involved genetic predisposition, environmental influences, and prenatal, perinatal, and postnatal factors. Prenatal causes encompass maternal diet, alcohol consumption, viral infections, and stress. Postnatal factors include head trauma, meningitis, toxin, nutritional deficiencies, as well as iodine deficiency and hypothyroidism. The gut microbiome's role in ADHD is emerging, influencing neurodevelopment through microbiota-gut-brain axis. Understanding these diverse etiological factors is essential for comprehensive ADHD management.
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Affiliation(s)
- Lubna Al-Gailani
- Faculty of Medicine, Cyprus International University, Nicosia, Cyprus
| | - Ali Al-Kaleel
- Faculty of Medicine, Cyprus International University, Nicosia, Cyprus
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21
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Karcz K, Królak-Olejnik B. Impact of Gestational Diabetes Mellitus on Fetal Growth and Nutritional Status in Newborns. Nutrients 2024; 16:4093. [PMID: 39683486 DOI: 10.3390/nu16234093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 11/23/2024] [Accepted: 11/25/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is one of the most prevalent complications associated with pregnancy, exhibiting a gradual rise in prevalence worldwide. Given the potential for numerous short- and long-term complications for both mother and child, patients diagnosed with GDM require individualised treatment to compensate for metabolic abnormalities and ultimately reduce the risk of the known adverse consequences of impaired glucose tolerance. METHODS AND RESULTS The manuscript presents a summary of the current knowledge on changes in maternal metabolism during physiological pregnancy and pregnancy complicated by gestational diabetes. Furthermore, the article provides a synthesis of the findings from recent research examining the impacts of gestational diabetes and the therapeutic modalities employed on the nutritional status of the fetus and neonate. Additionally, the review elucidates the function of the placenta and placental hormones in fetal development, as well as the impact of hyperglycemia, insulin resistance and adipokines on fetal and neonatal nutritional programming and predisposition to metabolic complications in adulthood. CONCLUSIONS The metabolic environment, resulting from abnormal glucose tolerance during pregnancy, exerts a particularly significant impact on fetal growth and, consequently, on the birth weight and fat mass of the newborn infants. This is a pivotal factor influencing the nutritional and metabolic programming of the developing fetus, predisposing the individual to the development of metabolic complications throughout their lifetime.
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Affiliation(s)
- Karolina Karcz
- Department of Neonatology, Wroclaw Medical University, 50-367 Wrocław, Poland
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22
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Salazar-García M, Villavicencio-Guzmán L, Revilla-Monsalve C, Patiño-Morales CC, Jaime-Cruz R, Ramírez-Fuentes TC, Corona JC. Harmful Effects on the Hippocampal Morpho-Histology and on Learning and Memory in the Offspring of Rats with Streptozotocin-Induced Diabetes. Int J Mol Sci 2024; 25:11335. [PMID: 39518888 PMCID: PMC11546933 DOI: 10.3390/ijms252111335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 10/15/2024] [Accepted: 10/18/2024] [Indexed: 11/16/2024] Open
Abstract
Learning alterations in the child population may be linked to gestational diabetes as a causal factor, though this remains an open and highly controversial question. In that sense, it has been reported that maternal hyperglycemia generates a threatening condition that affects hippocampal development in offspring. The pyramidal cells of the CA3 subfield, a key structure in learning and memory processes, are particularly important in cognitive deficiencies. We evaluate the effect of the hyperglycemic intrauterine environment on hippocampal histomorphometry in offspring, correlating it with spatial learning and memory, as well as the morphology of dendrites and spines in 30-day-old pups (P30). The maternal hyperglycemia affected the body weight, height, and brain size of fetuses at 21 days of gestation (F21), newborn pups (P0) and P30 pups from diabetic rats, which were smaller compared to the control group. Consequently, this resulted in a decrease in hippocampal size, lower neuronal density and cytoarchitectural disorganization in the CA3 region of the hippocampus in the offspring at the three ages studied. The behavioral tests performed showed a direct relationship between morpho-histological alterations and deficiencies in learning and memory, as well as alterations in the morphology of the dendrites and spines. Therefore, knowing the harmful effects caused by gestational diabetes can be of great help to establish therapeutic and educational strategies that can help to improve learning and memory in children.
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Affiliation(s)
- Marcela Salazar-García
- Laboratorio de Investigación en Biología del Desarrollo y Teratogénesis Experimental, Hospital Infantil de México Federico Gómez, Mexico City 06720, Mexico; (L.V.-G.); (C.C.P.-M.)
| | - Laura Villavicencio-Guzmán
- Laboratorio de Investigación en Biología del Desarrollo y Teratogénesis Experimental, Hospital Infantil de México Federico Gómez, Mexico City 06720, Mexico; (L.V.-G.); (C.C.P.-M.)
| | - Cristina Revilla-Monsalve
- Unidad de Investigación en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06725, Mexico;
| | - Carlos César Patiño-Morales
- Laboratorio de Investigación en Biología del Desarrollo y Teratogénesis Experimental, Hospital Infantil de México Federico Gómez, Mexico City 06720, Mexico; (L.V.-G.); (C.C.P.-M.)
| | - Ricardo Jaime-Cruz
- Departamento de Ciencias de la Salud, Universidad Tecnológica de México-UNITEC México-Campus Sur, Mexico City 09810, Mexico;
| | - Tania Cristina Ramírez-Fuentes
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina del Instituto Politécnico Nacional, Mexico City 11340, Mexico;
| | - Juan Carlos Corona
- Laboratory of Neurosciences, Hospital Infantil de México Federico Gómez, Mexico City 06720, Mexico
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23
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Gan M, Zhu X, Wang W, Ye K, Jiang Y, Jiang T, Lv H, Lu Q, Qin R, Tao S, Huang L, Xu X, Liu C, Dou Y, Ke K, Sun T, Liu Y, Jiang Y, Han X, Jin G, Ma H, Shen H, Hu Z, Guan Y, Lin Y, Du J. Associations of inflammation related prenatal adversities with neurodevelopment of offspring in one year: a longitudinal prospective birth cohort study. BMC Pregnancy Childbirth 2024; 24:636. [PMID: 39358694 PMCID: PMC11445952 DOI: 10.1186/s12884-024-06839-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 09/17/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND The recent Maternal Immune Activation (MIA) theory suggests maternal systemic inflammation may serve as a mediator in associations between prenatal maternal adversities and neurodevelopmental diseases in offspring. Given the co-exposure to multiple adversities may be experienced by pregnant person, it is unclear whether a quantitative index can be developed to characterize the inflammation related exposure level, and whether this index is associated with neurodevelopmental delays in offspring. METHODS Based on Jiangsu Birth Cohort (JBC), a total of 3051 infants were included in the analysis. Inflammation related Prenatal Adversity Index (IPAI) was constructed using maternal data. Neurodevelopmental outcomes were assessed using the Bayley Scales of Infant and Toddler Development, third edition, screening test in one year. Multivariate linear regression and Poisson regression model were performed to analyze the associations between IPAI and neurodevelopment in offspring. RESULTS Compared with "low IPAI" group, offspring with "high IPAI" have lower scores of cognition, receptive communication, expressive communication, and fine motor. The adjusted β were - 0.23 (95%CI: -0.42, -0.04), -0.47 (95%CI: -0.66, -0.28), -0.30 (95%CI: -0.49, -0.11), and - 0.20 (95%CI: -0.33, -0.06). Additionally, the elevated risk for noncompetent development of cognition and receptive communication among "high IPAI" group was observed. The relative risk [RR] and 95% confidence interval [CI] were 1.35 (1.01, 1.69) and 1.37 (1.09, 1.72). CONCLUSIONS Our results revealed a significant association between higher IPAI and lower scores across cognition, receptive communication, expressive communication, and fine motor domains, and an increased risk of noncompetent development in the cognition and receptive communication domains.
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Affiliation(s)
- Ming Gan
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Taizhou People's Hospital, Affiliated to Nanjing Medical University, Taizhou, 225300, Jiangsu, China
| | - Xianxian Zhu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Weiting Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Kan Ye
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215002, Jiangsu, China
| | - Yangqian Jiang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Tao Jiang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215002, Jiangsu, China
| | - Qun Lu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Rui Qin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Shiyao Tao
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Lei Huang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Xin Xu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Cong Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Yuanyan Dou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Kang Ke
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Tianyu Sun
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Yuxin Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Yue Jiang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215002, Jiangsu, China
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215002, Jiangsu, China
| | - Yichun Guan
- Department of Reproductive Medicine Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- State Key Laboratory of Reproductive Medicine (Henan Centre), The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215002, Jiangsu, China.
- Department of Maternal, Child and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
- State Key Laboratory of Reproductive Medicine (Suzhou Centre), Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, 215002, Jiangsu, China.
- Taizhou People's Hospital, Affiliated to Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
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24
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Cendra-Duarte E, Canals J, Becerra-Tomás N, Jardí C, Martín-Luján F, Arija V. Maternal dietary patterns and offspring behavioral problems. Pediatr Res 2024:10.1038/s41390-024-03462-3. [PMID: 39266631 DOI: 10.1038/s41390-024-03462-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/11/2024] [Accepted: 07/22/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Mental health problems often begin in early childhood and could predict psychiatric and behavioral outcomes. Prenatal factors such as maternal nutrition have an impact on neurodevelopment. This study aims to investigate the association between maternal dietary patterns and emotional and behavioral problems in 4-year-old children. METHODS Within a cohort of 205 mother-child pairs, three maternal dietary patterns were identified: 'Sweet and Superfluous', 'Fish and Vegetables' and 'Meat and Cereals'. Child behavior was evaluated by means of the Child Behavior Checklist 1.5-5 (CBCL 1.5-5), the Teacher's Report Form 1.5-5 (TRF 1.5-5), and the Behavior Rating Inventory of Executive Function - Preschool Version (BRIEF-P). Multivariable analysis determined associations between maternal dietary patterns and their children's behavior. RESULTS Maternal adherence to the 'Sweet and Superfluous' pattern was positively associated with externalizing and depressive problems in children. The 'Meat and Cereals' pattern was linked to a higher risk for attention, hyperactivity and depressive problems as somatic complaints. Conversely, the 'Fish and Vegetables' pattern was associated with a reduced risk of hyperactivity problems. All these associations were more pronounced in girls than in boys. CONCLUSIONS Maternal diet during pregnancy is associated with the emotional and behavioral development of children at 4 years of age. IMPACT Previous research on prenatal dietary patterns and children's behavior is inconclusive. In our study, children of mothers who had higher intakes of sugar and processed foods during pregnancy were more likely to have emotional and behavioral problems at age 4, especially girls. A high-quality diet characterized by fish and vegetable consumption during pregnancy was associated with reduced anxiety and hyperactivity problems in girls. Our findings highlight the importance of prenatal nutrition for child neurodevelopment.
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Affiliation(s)
- Esther Cendra-Duarte
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, Reus, Spain
- Institut Català de la Salut (ICS), Collaborative Group on Lifestyles, Nutrition, and Tobacco (CENIT), Institut d´Investigació en Atenció Primària IDIAP Jordi Gol, Reus, Spain
| | - Josefa Canals
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Universitat Rovira i Virgili, Department of Psychology, Centre de Recerca en Avaluació i Mesura de la Conducta (CRAMC), Tarragona, Spain
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Cristina Jardí
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Francisco Martín-Luján
- Institut Català de la Salut (ICS), Collaborative Group on Lifestyles, Nutrition, and Tobacco (CENIT), Institut d´Investigació en Atenció Primària IDIAP Jordi Gol, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Institut Català de la Salut (ICS), Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Barcelona, Spain
| | - Victoria Arija
- Universitat Rovira i Virgili, Nutrition and Mental Health (NUTRISAM) Research Group, Reus, Spain.
- Institut Català de la Salut (ICS), Collaborative Group on Lifestyles, Nutrition, and Tobacco (CENIT), Institut d´Investigació en Atenció Primària IDIAP Jordi Gol, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain.
- Institut Català de la Salut (ICS), Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Barcelona, Spain.
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25
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Qiu Y, Liu Y, Gan M, Wang W, Jiang T, Jiang Y, Lv H, Lu Q, Qin R, Tao S, Huang L, Xu X, Liu C, Dou Y, Ke K, Sun T, Jiang Y, Xu B, Jin G, Ma H, Shen H, Hu Z, Lin Y, Du J. Association of prenatal multiple metal exposures with child neurodevelopment at 3 years of age: A prospective birth cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 942:173812. [PMID: 38857795 DOI: 10.1016/j.scitotenv.2024.173812] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/13/2024] [Accepted: 06/04/2024] [Indexed: 06/12/2024]
Abstract
Prenatal exposures to toxic metals and trace elements have been linked to childhood neurodevelopment. However, existing evidence remains inconclusive, and further research is needed to investigate the mixture effects of multiple metal exposures on childhood neurodevelopment. We aimed to examine the associations between prenatal exposure to specific metals and metal mixtures and neurodevelopment in children. In this prospective cohort study, we used the multivariable linear regressions and the robust modified Poisson regressions to explore the associations of prenatal exposure to 25 specific metals with neurodevelopment among children at 3 years of age in 854 mother-child pairs from the Jiangsu Birth Cohort (JBC) Study. The Bayesian kernel machine regression (BKMR) was employed to assess the joint effects of multiple metals on neurodevelopment. Prenatal manganese (Mn) exposure was negatively associated with the risk of non-optimal cognition development of children, while vanadium (V), copper (Cu), zinc (Zn), antimony (Sb), cerium (Ce) and uranium (U) exposures were positively associated with the risk of non-optimal gross motor development. BKMR identified an interaction effect between Sb and Ce on non-optimal gross motor development. Additionally, an element risk score (ERS), representing the mixture effect of multiple metal exposures including V, Cu, Zn, Sb, Ce and U was constructed based on weights from a Poisson regression model. Children with ERS in the highest tertile had higher probability of non-optimal gross motor development (RR = 2.37, 95 % CI: 1.15, 4.86) versus those at the lowest tertile. Notably, Sb [conditional-posterior inclusion probabilities (cPIP) = 0.511] and U (cPIP = 0.386) mainly contributed to the increased risk of non-optimal gross motor development. The findings highlight the importance of paying attention to the joint effects of multiple metals on children's neurodevelopment. The ERS score may serve as an indicator of comprehensive metal exposure risk for children's neurodevelopment.
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Affiliation(s)
- Yun Qiu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Yuxin Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Ming Gan
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Weiting Wang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Tao Jiang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Yangqian Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Qun Lu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Rui Qin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Shiyao Tao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Lei Huang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xin Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Cong Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Yuanyan Dou
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Kang Ke
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Tianyu Sun
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Yue Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China.
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China; State Key Laboratory of Reproductive Medicine (Suzhou Centre), The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, Jiangsu, China.
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26
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Feig DS, Artani A, Asaf A, Li P, Booth GL, Shah BR. Long-term Neurobehavioral and Metabolic Outcomes in Offspring of Mothers With Diabetes During Pregnancy: A Large, Population-Based Cohort Study in Ontario, Canada. Diabetes Care 2024; 47:1568-1575. [PMID: 38820461 DOI: 10.2337/dc24-0108] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 05/03/2024] [Indexed: 06/02/2024]
Abstract
OBJECTIVE Offspring of women with diabetes are at increased risk of developing neurobehavioral and cardiometabolic disorders, but there is scant evidence regarding the association between glycemic level during pregnancy and these long-term offspring outcomes. RESEARCH DESIGN AND METHODS We conducted a population-based, cohort study of deliveries in Ontario between April 1991 and March 2018. Women had preexisting diabetes, gestational diabetes, or no diabetes. We applied a Cox proportional hazard model to examine the risk of developing attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and cardiometabolic outcomes in offspring and assessed the association between pregnancy HbA1c levels and risk of outcomes, adjusting for confounders. RESULTS A total of 3,407,961 mother-infant pairs were followed up to 29 years. Using a Cox proportional hazard model, offspring of women with type 1 diabetes had the highest risk of ADHD (adjusted hazard ratio [aHR] 1.43 [95% CI 1.36-1.49]), ASD (aHR 1.94 [1.80-2.09]), diabetes (aHR 4.73 [4.34-5.16]), hypertension (aHR 2.32 [2.07-2.61]), and cardiovascular disease (CVD) (aHR 1.72 [1.56-1.90]), followed by offspring of women with type 2 diabetes and gestational diabetes compared with those unexposed. Among women with preexisting diabetes, there was an association between level of pregnancy HbA1c and offspring diabetes (aHR 1.22 [95% CI 1.12-1.32]), hypertension (aHR 1.42 [1.29-1.57]), and CVD (aHR 1.20 [1.11-1.29]) but no statistically significant association with neurobehavioral outcomes. CONCLUSIONS In utero exposure to maternal diabetes was associated with an increase in ADHD, ASD, and cardiometabolic outcomes in offspring, with differences seen across diabetes subtypes. Pregnancy glycemia was associated with cardiometabolic outcomes, but not neurobehavioral outcomes, and provides a potentially modifiable risk factor to decrease cardiometabolic outcomes in offspring.
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Affiliation(s)
- Denice S Feig
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Sinai Health System, Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada
| | - Azmina Artani
- Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada
| | - Ayesha Asaf
- Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada
| | - Ping Li
- Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada
| | - Gillian L Booth
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada
- Department of Medicine, St. Michael's Hospital, Unity Health, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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27
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Farooqi HA, Safwan Z, Nabi R. Innovative approaches in stroke care: insights from recent studies on patient delay, telemedicine, artificial intelligence, and machine learning. Neurosurg Rev 2024; 47:392. [PMID: 39088136 DOI: 10.1007/s10143-024-02651-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 07/20/2024] [Accepted: 07/29/2024] [Indexed: 08/02/2024]
Affiliation(s)
| | | | - Rayyan Nabi
- Islamic International Medical College, Rawalpindi, Pakistan
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28
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Haarbauer K, Burke R, Smith MC, Miller AN, Moran PN, Moise AA, Cottrell L, Polak MJ. The Legacy of the COVID-19 Pandemic: Impact on Infant and Maternal and Health from an Appalachian Academic Medical Center. CHILDREN (BASEL, SWITZERLAND) 2024; 11:924. [PMID: 39201859 PMCID: PMC11352866 DOI: 10.3390/children11080924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/25/2024] [Accepted: 07/27/2024] [Indexed: 09/03/2024]
Abstract
BACKGROUND/OBJECTIVES The COVID-19 pandemic period from 2020 to 2022 had a significant impact on maternal infant health with mothers impacted more than their infants. We questioned whether there have been any lingering effects from the pandemic. METHODS We examined intermediate and long-term pandemic effects on maternal and neonatal outcomes before, during, and after the COVID-19 pandemic period. We reviewed mother-infant pairs from the following three epochs: (1) the pre-COVID-19 period, (2) the COVID-19 pandemic period, and (3) the post-pandemic period. The Case Mix Index (CMI) for the neonates from all three epochs were detailed. RESULTS Post-pandemic, we noted a rising trend of LGA infants (10%) and an increase in SGA infants (13%). For women in 2023, we noted an increase in hypertension, preeclampsia, diabetes, and a higher BMI than in the pre-pandemic period. There have also been more congenital anomalies (9%), and neonatal CMI increased in the post-pandemic period. CONCLUSIONS Well after the pandemic period, maternal-infant health continues to be affected. For women, the increase in hypertension and diabetes during pregnancy is concerning. For infants, being LGA or SGA may have long-term consequences. The post-pandemic increase in infants with congenital anomalies compared to the pre-pandemic era is an area that needs ongoing review.
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Affiliation(s)
- Kelsey Haarbauer
- Department of Pediatrics, West Virginia University School of Medicine, Morgantown, WV 26506, USA; (K.H.); (M.C.S.); (L.C.)
| | - Rebecca Burke
- Division of Neonatology, Department of Pediatrics, Penn State College of Medicine, Penn State Health Children’s Hospital, Hershey, PA 17033, USA;
| | - M. Cody Smith
- Department of Pediatrics, West Virginia University School of Medicine, Morgantown, WV 26506, USA; (K.H.); (M.C.S.); (L.C.)
| | | | - Patricia N. Moran
- Perinatal Medicine, Department of Pediatrics, University of Virginia, Charlottesville, VA 22903, USA;
| | - Alicia A. Moise
- Department of Pediatrics, University of Oklahoma College of Medicine, Oklahoma City, OK 73104, USA;
| | - Lesley Cottrell
- Department of Pediatrics, West Virginia University School of Medicine, Morgantown, WV 26506, USA; (K.H.); (M.C.S.); (L.C.)
| | - Mark J. Polak
- Department of Pediatrics, West Virginia University School of Medicine, Morgantown, WV 26506, USA; (K.H.); (M.C.S.); (L.C.)
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29
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Biete M, Vasudevan S. Gestational diabetes mellitus: Impacts on fetal neurodevelopment, gut dysbiosis, and the promise of precision medicine. Front Mol Biosci 2024; 11:1420664. [PMID: 39055983 PMCID: PMC11269231 DOI: 10.3389/fmolb.2024.1420664] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/11/2024] [Indexed: 07/28/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disorder affecting approximately 16.5% of pregnancies worldwide and causing significant health concerns. GDM is a serious pregnancy complication caused by chronic insulin resistance in the mother and has been associated with the development of neurodevelopmental disorders in offspring. Emerging data support the notion that GDM affects both the maternal and fetal microbiome, altering the composition and function of the gut microbiota, resulting in dysbiosis. The observed dysregulation of microbial presence in GDM pregnancies has been connected to fetal neurodevelopmental problems. Several reviews have focused on the intricate development of maternal dysbiosis affecting the fetal microbiome. Omics data have been instrumental in deciphering the underlying relationship among GDM, gut dysbiosis, and fetal neurodevelopment, paving the way for precision medicine. Microbiome-associated omics analyses help elucidate how dysbiosis contributes to metabolic disturbances and inflammation, linking microbial changes to adverse pregnancy outcomes such as those seen in GDM. Integrating omics data across these different layers-genomics, transcriptomics, proteomics, metabolomics, and microbiomics-offers a comprehensive view of the molecular landscape underlying GDM. This review outlines the affected pathways and proposes future developments and possible personalized therapeutic interventions by integrating omics data on the maternal microbiome, genetics, lifestyle factors, and other relevant biomarkers aimed at identifying women at high risk of developing GDM. For example, machine learning tools have emerged with powerful capabilities to extract meaningful insights from large datasets.
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Affiliation(s)
| | - Sona Vasudevan
- Department of Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, United States
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30
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Del Campo-Rota IM, Delgado-Casillas OM, Ibarra A. Cognitive Impairment Induced by Gestational Diabetes: The Role of Oxidative Stress. Arch Med Res 2024; 55:103016. [PMID: 38870549 DOI: 10.1016/j.arcmed.2024.103016] [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: 03/01/2024] [Revised: 05/01/2024] [Accepted: 05/30/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Cognitive impairment is defined as a neurological condition that alters multiple cerebral functions such as reasoning, memory, concentration, and association, among others. It has found to be widely correlated with several factors such as oxidative stress. The latter could be induced by numerous pathological conditions characterized by increased levels of free radicals and decreased levels of antioxidants. Pregnancy is a period when women undergo a physiological state of oxidative stress due to hormonal changes and increased oxygen requirements to maintain pregnancy. However, when oxidative stress exceeds antioxidant capacity, this leads to cellular damage that promotes a diabetogenic state. Recent studies suggest a possible association between gestational diabetes and cognitive impairment, but the underlying mechanisms remain unclear. AIMS We aim to explore the pathophysiological relationship between cognitive impairment and oxidative stress, focusing on the possible involvement of oxidative stress as the inducing mechanism. METHODS We performed a comprehensive literature review through PubMed and Google Scholar. Our keywords were "neuroinflammation", "cognitive impairment", "gestational diabetes", "oxidative stress", "antioxidants", and "free radicals". RESULTS From the initial 400 records identified, a total of 78 studies were analyzed and included in our study. CONCLUSION Oxidative stress plays a fundamental role in the development of cognitive impairment. Understanding this correlation is essential to the development of targeted medical interventions and, ultimately, promote research and prevention that will benefit the mother-child binomial in the short and long term.
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Affiliation(s)
- Isabel Martin Del Campo-Rota
- Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México, Campus Norte, Huixquilucan, Edo. de México, Mexico
| | - Oscar Mario Delgado-Casillas
- Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México, Campus Norte, Huixquilucan, Edo. de México, Mexico
| | - Antonio Ibarra
- Centro de Investigación en Ciencias de la Salud, Universidad Anáhuac México, Campus Norte, Huixquilucan, Edo. de México, Mexico; Secretaría de la Defensa Nacional, Escuela Militar de Graduados en Sanidad, Ciudad de México, Mexico.
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31
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Ghamri KA. Mutual effects of gestational diabetes and schizophrenia: how can one promote the other?: A review. Medicine (Baltimore) 2024; 103:e38677. [PMID: 38905391 PMCID: PMC11191934 DOI: 10.1097/md.0000000000038677] [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: 04/03/2024] [Accepted: 05/31/2024] [Indexed: 06/23/2024] Open
Abstract
Although the physical complications of gestational diabetes mellitus (GDM) are well known, emerging evidence suggests a significant link with psychiatric conditions such as schizophrenia (SCZ). This review aimed to explore the extent, nature, and implications of the association between GDM and SCZ, exploring how the 2 conditions may reciprocally influence each other. We conducted a comprehensive literature review and, analyzed clinical and mechanistic evidence supporting the mutual effects of GDM and SCZ. This review examined factors such as neurodevelopment and the impact of antipsychotics. The study found that Maternal GDM increases the risk of SCZ in offspring. Conversely, women with SCZ were more prone to hyperglycemic pregnancies. The research highlights significant regional variations in GDM prevalence, with the highest rate in the Middle East, North Africa, and South-East Asia regions. These regional variations may have an impact on the epidemiology of SCZ. Furthermore, this review identifies the potential biological and environmental mechanisms underlying these associations. There is a bidirectional relationship between GDM and SCZ, with each disorder potentially exacerbating the others. This relationship has significant implications for maternal and offspring health, particularly in regions with high GDM prevalence. These findings underline the need for integrated care approaches for women with SCZ during pregnancy and the importance of monitoring and managing GDM to mitigate the risk of SCZ in the offspring. Notably, this study recognizes the need for further research to fully understand these complex interactions and their implications for healthcare.
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Affiliation(s)
- Kholoud A. Ghamri
- Department of Internal Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
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Muhammad Ismail HI. Preventing Childhood Neurodisability. Malays J Med Sci 2024; 31:1-5. [PMID: 38694588 PMCID: PMC11057827 DOI: 10.21315/mjms2024.31.2.1] [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: 01/22/2024] [Accepted: 01/28/2024] [Indexed: 05/04/2024] Open
Abstract
Globally 8.4% of children under 5 years old have a neurodisability. The important factors contributing to this are infection and inflammation, nutrition and quality of care especially during pregnancy and in the first 2 years of life. In an attempt to reduce neurodisability arising from these factors, WHO launched the 1,000 days initiative in 2014. Recent data from the National Health and Morbidity, and Malaysian National Neonatal Registry is a cause for concern. The rate of low weight babies has shown a significant increase during this period. The percentage of pregnant mothers with diabetes has doubled over the last 6 years. In addition, 20% of children under 5 years old are stunted and 46% have anaemia. All of these impact on neurological development, potentially increasing the incidence of developmental disorders and motor deficits.
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Mehri K, Hamidian G, Babri S, Farajdokht F, Zavvari Oskuye Z. Exercise and insulin glargine administration in mothers with diabetes during pregnancy ameliorate function of testis in offspring: Consequences on apelin-13 and its receptor. Life Sci 2024; 342:122517. [PMID: 38395385 DOI: 10.1016/j.lfs.2024.122517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/11/2024] [Accepted: 02/20/2024] [Indexed: 02/25/2024]
Abstract
AIMS Despite the evidence exhibited that diabetes during gestation (DDG) is linked with reproductive dysfunction in offspring, the underlying cellular mechanisms involved are not precisely defined. This study was designed to assess the impact of voluntary exercise and insulin glargine on DDG-induced metabolic and reproductive disorders in male offspring. MAIN METHODS Fifty female Wistar rats (three weeks old) received a control diet (n = 10) or high-fat-high-sucrose diet (to induce DDG; n = 40) for six weeks before breeding. From the 7th day of pregnancy onwards, blood glucose over 140 mg/dL was characterized as DDG. Then, the DDG animals were randomly divided into four subgroups with/without voluntary exercise and/or insulin glargine. To evaluate insulin resistance, a glucose tolerance test was performed on the 15th day of pregnancy. After three weeks, male offspring were weaned, and fed a control diet until 12 weeks old. At the end of the experiment, the lipid profile, sex hormones, and apelin-13 in the serum, mRNA expression of apelin receptors (APJ) in the testis and sperm analysis were assessed. KEY FINDINGS Our results indicated that voluntary exercise and/or insulin glargine administration in mothers with DDG ameliorated lipid profile, and sex hormones alterations, reduced the serum level of apelin-13, as well as increased APJ expression in testis, and quality of sperm in offspring. SIGNIFICANCE Combined administration of voluntary exercise and insulin glargine during pregnancy by regulating of apelinergic system and inhibiting the metabolic and reproductive complications induced by DDG, can be considered as a suitable therapeutic strategy for improving sub-or in-fertility in the male offspring.
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Affiliation(s)
- Keyvan Mehri
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Gholamreza Hamidian
- Department of Basic Sciences, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran.
| | - Shirin Babri
- Department of Physiology, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fereshteh Farajdokht
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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34
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Marra MC, Mappa I, Pietrolucci ME, Lu JLA, D' Antonio F, Rizzo G. Fetal brain development in pregnancies complicated by gestational diabetes mellitus. J Perinat Med 2024; 52:310-316. [PMID: 38231478 DOI: 10.1515/jpm-2023-0456] [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: 10/26/2023] [Accepted: 12/23/2023] [Indexed: 01/18/2024]
Abstract
OBJECTIVES Gestational diabetes mellitus (GDM) carries an increased risk of neurocognitive impairment in offsprings. However, the contribution of maternal hyperglycemia in affecting fetal brain development is not fully elucidated yet. The aim of this study was to evaluate fetal brain and sulci development in pregnancies complicated by GDM. METHODS Prospective observational study including 100 singleton pregnancies complicated by GDM and 100 matched controls. All fetuses underwent neurosonography at 29-34 weeks of gestation, including the assessment of the length of the corpus callosum (CC), cerebellar vermis (CV), Sylvian (SF), parieto-occipital (POF) and calcarine fissures (CF). Sub-group analysis according to the specific treatment regimen adopted (n 67 diet vs. 33 insulin therapy) was also performed. RESULTS Fetuses from mothers with GDM under insulin therapy had a smaller CC (35.54 mm) compared to both controls (40 mm; p<0.001) and women with GDM under diet (39.26 mm; p=0.022) while there was no difference in the HC between the groups. Likewise, when corrected for HC, CV depth was smaller in fetuses with GDM both under insulin therapy (7.03 mm) and diet (7.05 mm,) compared to controls (7.36 mm; p=0.013). Finally, when assessing the sulci development of the brain SF (p≤0.0001), POF (p≤0.0001) and CF (p≤0.0001) were significantly smaller in fetuses with maternal GDM. Post-hoc analysis showed that fetuses of GDM mothers requiring insulin therapy had significantly lower values of SF (p=0.032), POF (p=0.016) and CF (p=0.001). CONCLUSIONS Pregnancies complicated by GDM showed a peculiar pattern of fetal brain growth and cortical development and these changes, which are more evident in those requiring insulin supplementation.
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Affiliation(s)
- Maria Chiara Marra
- Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Roma, Italy
| | - Ilenia Mappa
- Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Roma, Italy
| | - Maria Elena Pietrolucci
- Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Roma, Italy
| | - Jia Li Angela Lu
- Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Roma, Italy
| | | | - Giuseppe Rizzo
- Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Roma, Italy
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35
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Arabiat D, AL Jabery M, Whitehead L. Does Intrauterine Exposure to Diabetes Impact Mental and Motor Skills? A Meta-Analysis of the Bayley Scales of Infant Development. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:191. [PMID: 38397682 PMCID: PMC10888024 DOI: 10.3390/ijerph21020191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Attempts to conduct meta-analyses of the association between child development and diabetes have been limited by the wide range of tools and definitions of developmental outcomes used in the literature. We aim to meta-analyze a widely used measure of child development, the Bayley Scales of Infant Development, with respect to exposure to diabetes and developmental scores. METHODS PsycINFO, MEDLINE/PubMed, EMBASE, Emcare, and Google Scholar databases were searched. Two independent reviewers screened, extracted, and quality-appraised the studies using JBI SUMARI software. Forest plots were created with the standardized mean difference using the random-effects model, and heterogeneity was assessed using I2. RESULTS Seven studies were identified. The pooled results on psychomotor and mental development index mean scores were lower for infants born to mothers with diabetes than for the control group (Cohen's d = -4.49, df = 7, I2 = 0%, p = 0.001 and Cohen's d = -3.4, df = 9, I2 = 27%, p = 0.001, respectively). Effects were larger in infants born to mothers with type 1 and 2 diabetes and at age 12 months. CONCLUSIONS Maternal diabetes should be considered as a risk factor for children's development, mainly when born to mothers with pre-existing diabetes.
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Affiliation(s)
- Diana Arabiat
- Maternal and Child Nursing Department, School of Nursing, The University of Jordan, Amman 11942, Jordan;
- The Centre for Evidence Informed Nursing, Midwifery and Healthcare Practice, Joondalup 6027, Australia
- School of Nursing and Midwifery, Edith Cowan University, Joondalup 6027, Australia
| | - Mohammad AL Jabery
- Department of Special Education, School of Educational Sciences, The University of Jordan, Amman 11942, Jordan;
| | - Lisa Whitehead
- Maternal and Child Nursing Department, School of Nursing, The University of Jordan, Amman 11942, Jordan;
- The Centre for Evidence Informed Nursing, Midwifery and Healthcare Practice, Joondalup 6027, Australia
- School of Nursing and Midwifery, Edith Cowan University, Joondalup 6027, Australia
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Morgan NG. Insulitis in human type 1 diabetes: lessons from an enigmatic lesion. Eur J Endocrinol 2024; 190:R1-R9. [PMID: 38231086 PMCID: PMC10824273 DOI: 10.1093/ejendo/lvae002] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/14/2023] [Accepted: 12/18/2023] [Indexed: 01/18/2024]
Abstract
Type 1 diabetes is caused by a deficiency of insulin secretion which has been considered traditionally as the outcome of a precipitous decline in the viability of β-cells in the islets of Langerhans, brought about by autoimmune-mediated attack. Consistent with this, various classes of lymphocyte, as well as cells of the innate immune system have been found in association with islets during disease progression. However, analysis of human pancreas from subjects with type 1 diabetes has revealed that insulitis is often less intense than in equivalent animal models of the disease and can affect many fewer islets than expected, at disease onset. This is especially true in subjects developing type 1 diabetes in, or beyond, their teenage years. Such studies imply that both the phenotype and the number of immune cells present within insulitic lesions can vary among individuals in an age-dependent manner. Additionally, the influent lymphocytes are often mainly arrayed peripherally around islets rather than gaining direct access to the endocrine cell core. Thus, insulitis remains an enigmatic phenomenon in human pancreas and this review seeks to explore the current understanding of its likely role in the progression of type 1 diabetes.
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Affiliation(s)
- Noel G Morgan
- Department of Clinical and Biomedical Science, Islet Biology Exeter (IBEx), Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, Exeter EX2 5DW, United Kingdom
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37
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Sahin R, Tanacan A, Serbetci H, Agaoglu Z, Haksever M, Ozkavak OO, Karagoz B, Kara O, Sahin D. The impact of gestational diabetes on the development of fetal frontal lobe: A case-control study from a tertiary center. JOURNAL OF CLINICAL ULTRASOUND : JCU 2024; 52:32-36. [PMID: 37883124 DOI: 10.1002/jcu.23593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/21/2023] [Accepted: 10/10/2023] [Indexed: 10/27/2023]
Abstract
PURPOSE To determine the effects of gestational diabetes mellitus (GDM) on fetal frontal lobe development. METHODS This study was conducted prospectively between May 2023 and August 2023 in Ankara City Hospital perinatology clinic. Maternal age, maternal body mass index (BMI), gestational week (GW), biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), femur length (FL), estimated fetal weight (EFW), frontal antero-posterior diameter (FAPD), occipito-frontal diameter (OFD), FAPD/OFD ratio, and FAPD/HC ratio, were compared between GDM (n = 40) and low risk controls (n = 56). RESULTS The mean maternal age was found higher in the GDM group compared to control group (p = 0.002). Maternal BMI was significantly higher in the GDM group than the control group (p = 0.01). Abdominal circumference (AC) was significantly higher in the GDM group compared to control group (p = 0.04). EFW was significantly higher in the GDM group compared to control group (p = 0.04). FAPD/OFD ratio was found to be higher in the GDM group than in the control group (p = 0.001). Among GDM patients, no statistically significant difference was found in the ultrasound measurements between the groups receiving insulin treatment and those without treatment. According to the correlation analysis results a moderate, positive, and statistically significant correlation was present between FAPD/OFD and GDM. In perinatal outcomes, the rate of neonatal intensive care unit admission was significantly higher in the GDM group. DISCUSSION Fetal frontal lobe development seems to be affected by GDM.
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Affiliation(s)
- Refaettin Sahin
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
- Department of Obstetrics and Gynecology, University of Health Sciences, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Atakan Tanacan
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Hakki Serbetci
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Zahid Agaoglu
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Murat Haksever
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Osman Onur Ozkavak
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Busra Karagoz
- Department of Obstetrics and Gynecology, University of Health Sciences, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Ozgur Kara
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
| | - Dilek Sahin
- Perinatology Clinic, Turkish Ministry of Health, Ankara City Hospital, Ankara, Turkey
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Willinger Y, Friedland Cohen DR, Turgeman G. Exogenous IL-17A Alleviates Social Behavior Deficits and Increases Neurogenesis in a Murine Model of Autism Spectrum Disorders. Int J Mol Sci 2023; 25:432. [PMID: 38203599 PMCID: PMC10779042 DOI: 10.3390/ijms25010432] [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: 10/25/2023] [Revised: 12/17/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Among the proposed mechanisms for autism spectrum disorders (ASD) is immune dysregulation. The proinflammatory cytokine Interleukine-17A (IL-17A) was shown to play a key role in mediating immune-related neurodevelopmental impairment of social behavior. Nevertheless, post-developmental administration of IL-17A was found to increase social behavior. In the present study, we explored the effect of post-developmental administration of IL-17A on ASD-like behaviors induced by developmental exposure to valproic acid (VPA) at postnatal day 4. At the age of seven weeks, VPA-exposed mice were intravenously injected twice with recombinant murine IL-17A (8 μg), and a week later, they were assessed for ASD-like behavior. IL-17A administration increased social behavior and alleviated the ASD-like phenotype. Behavioral changes were associated with increased serum levels of IL-17 and Th17-related cytokines. Exogenous IL-17A also increased neuritogenesis in the dendritic tree of doublecortin-expressing newly formed neurons in the dentate gyrus. Interestingly, the effect of IL-17A on neuritogenesis was more noticeable in females than in males, suggesting a sex-dependent effect of IL-17A. In conclusion, our study suggests a complex role for IL-17A in ASD. While contributing to its pathology at the developmental stage, IL-17 may also promote the alleviation of behavioral deficits post-developmentally by promoting neuritogenesis and synaptogenesis in the dentate gyrus.
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Affiliation(s)
- Yehoshua Willinger
- Department of Molecular Biology, Faculty of Natural Sciences, Ariel University, Ariel 40700, Israel; (Y.W.); (D.R.F.C.)
| | - Daniella R. Friedland Cohen
- Department of Molecular Biology, Faculty of Natural Sciences, Ariel University, Ariel 40700, Israel; (Y.W.); (D.R.F.C.)
| | - Gadi Turgeman
- Department of Molecular Biology, Faculty of Natural Sciences, Ariel University, Ariel 40700, Israel; (Y.W.); (D.R.F.C.)
- The Adelson School of Medicine, Ariel University, Ariel 40700, Israel
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Guleroglu FY, Ocal A, Bakirci IT, Cetin A. Does diabetes mellitus affect the development of fetal brain structures and spaces including corpus callosum, subarachnoid space, insula, and parieto-occipital fissure? JOURNAL OF CLINICAL ULTRASOUND : JCU 2023; 51:1483-1491. [PMID: 37864816 DOI: 10.1002/jcu.23597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/14/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023]
Abstract
PURPOSE We investigated the impact of pregestational and gestational diabetes mellitus (PGDM and GDM) on the development of fetal intracranial structures and spaces. METHODS This prospective cross-sectional study involved singleton pregnancies between 20 and 32 weeks of gestation. The study comprised a control group (n = 65) of healthy pregnant women without diabetes mellitus (DM); a PGDM group (n = 43) of pregnant women having type 2 DM in a controlled diabetic state; and a GDM group (n = 26) of pregnant women with GDM diagnosed with 2-h 75-g oral glucose tolerance test and received intervention to reduce the diabetic impact on fetus. During neurosonographic evaluation, the simultaneous measurements of corpus callosum (CC) width and depth in the midsagittal image; and lateral craniocortical and posterior craniocortical widths of the subarachnoid space and insular and parieto-occipital fissure depths in the axial image were performed. Before statistical analysis, these values were carefully adjusted for the occipitofrontal diameter. RESULTS The DM groups displayed substantially higher frequencies of family history of DM and obstetric history of GDM compared to the control group (p < 0.05). Regarding the neurosonographic parameters, the CC length and insular and parieto-occipital fissure depths were significantly increased in the GDM group but not in the PGDM group (p < 0.05). No significant difference was found among the study groups regarding other neurosonographic parameters (p > 0.05). CONCLUSION The results of neurosonographical evaluation of fetal brain structures and spaces reveal that diabetic impact may not be seen in the presence of PGDM, especially in pregnant women receiving prenatal interventions to reduce or avoid diabetic adverse effects on fetal brain development. The effect of GDM on neurosonographically assessed fetal brain development should be evaluated in further studies with subjects matched for gestational weeks and antenatal care conditions.
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Affiliation(s)
- Filiz Yarsilikal Guleroglu
- Department of Obstetrics and Gynecology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Aydın Ocal
- Department of Obstetrics and Gynecology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Isil Turan Bakirci
- Department of Obstetrics and Gynecology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Ali Cetin
- Department of Obstetrics and Gynecology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
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40
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Muntean M, Prelipcean I, Racean MA, Cucerea M, Fagarasan A, David CT, Marginean C, Suciu LM. Optimally Controlled Diabetes and Its Influence on Neonatal Outcomes at a Level II Center: A Study on Infants Born to Diabetic Mothers. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1768. [PMID: 37893486 PMCID: PMC10607977 DOI: 10.3390/medicina59101768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 10/01/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023]
Abstract
Background and Objectives: We investigated the effect of optimal maternal glycemic control on neonatal outcomes among infants born to mothers with diabetes. Materials and Methods: In this prospective study, we assessed 88 eligible mothers admitted to the obstetrics department for pregnancy evaluation. Our analysis included 46 infants born to diabetic mothers (IDMs) and 138 infants born to unaffected mothers, all admitted to the Level II Neonatal Intensive Care Unit (NICU). Results: Mothers affected by diabetes were generally older and exhibited a higher body mass index (BMI) and a greater number of gestations, although parity did not differ significantly. Cesarean section emerged as the most frequently chosen mode of delivery. A significantly higher proportion of infants in the affected group presented with respiratory disease (3% vs. 19.5%), which required NICU admission (4.3% vs. 23.9%), phototherapy (18.1% vs. 43.5%), and had congenital heart defects or myocardial hypertrophy (15.2% and 26% vs. 3% and 4.3%) compared to matched controls (p < 0.05). Conclusions: This study underscores the persistence of adverse neonatal outcomes in IDMs, even when maternal glycemic control is optimized. It calls for further investigation into potential interventions and strategies aimed at enhancing neonatal outcomes in this population.
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Affiliation(s)
- Mihai Muntean
- Department of Obstetrics and Gynecology, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania; (M.M.); (C.M.)
| | - Irina Prelipcean
- Department of Neonatology, University of Rochester Medical Center Golisano Children’s Hospital at Strong, Rochester, NY 14642, USA
| | - Maria-Andreea Racean
- Department of Neonatology, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania; (M.-A.R.); (M.C.)
| | - Manuela Cucerea
- Department of Neonatology, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania; (M.-A.R.); (M.C.)
| | - Amalia Fagarasan
- Department of Pediatric Cardiology, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania;
| | - Carmen Tamara David
- Faculty of Medicine, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania;
| | - Claudiu Marginean
- Department of Obstetrics and Gynecology, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania; (M.M.); (C.M.)
| | - Laura Mihaela Suciu
- Department of Neonatology, University of Medicine Pharmacy Science and Technology George Emil Palade of Târgu Mures, 540142 Târgu Mures, Romania; (M.-A.R.); (M.C.)
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Tocci V, Mirabelli M, Salatino A, Sicilia L, Giuliano S, Brunetti FS, Chiefari E, De Sarro G, Foti DP, Brunetti A. Metformin in Gestational Diabetes Mellitus: To Use or Not to Use, That Is the Question. Pharmaceuticals (Basel) 2023; 16:1318. [PMID: 37765126 PMCID: PMC10537239 DOI: 10.3390/ph16091318] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/12/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
In recent years, there has been a dramatic increase in the number of pregnancies complicated by gestational diabetes mellitus (GDM). GDM occurs when maternal insulin resistance develops and/or progresses during gestation, and it is not compensated by a rise in maternal insulin secretion. If not properly managed, this condition can cause serious short-term and long-term problems for both mother and child. Lifestyle changes are the first line of treatment for GDM, but if ineffective, insulin injections are the recommended pharmacological treatment choice. Some guidance authorities and scientific societies have proposed the use of metformin as an alternative pharmacological option for treating GDM, but there is not yet a unanimous consensus on this. Although the use of metformin appears to be safe for the mother, concerns remain about its long-term metabolic effects on the child that is exposed in utero to the drug, given that metformin, contrary to insulin, crosses the placenta. This review article describes the existing lines of evidence about the use of metformin in pregnancies complicated by GDM, in order to clarify its potential benefits and limits, and to help clinicians make decisions about who could benefit most from this drug treatment.
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Affiliation(s)
- Vera Tocci
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
- Operative Unit of Endocrinology, Diabetes in Pregnancy Ambulatory Care Center, Renato Dulbecco University Hospital, 88100 Catanzaro, Italy
| | - Maria Mirabelli
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
- Operative Unit of Endocrinology, Diabetes in Pregnancy Ambulatory Care Center, Renato Dulbecco University Hospital, 88100 Catanzaro, Italy
| | - Alessandro Salatino
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
| | - Luciana Sicilia
- Operative Unit of Endocrinology, Diabetes in Pregnancy Ambulatory Care Center, Renato Dulbecco University Hospital, 88100 Catanzaro, Italy
| | - Stefania Giuliano
- Operative Unit of Endocrinology, Diabetes in Pregnancy Ambulatory Care Center, Renato Dulbecco University Hospital, 88100 Catanzaro, Italy
| | - Francesco S. Brunetti
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
| | - Eusebio Chiefari
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
| | - Giovambattista De Sarro
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
| | - Daniela P. Foti
- Department of Experimental and Clinical Medicine, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy;
| | - Antonio Brunetti
- Department of Health Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy; (V.T.); (M.M.)
- Operative Unit of Endocrinology, Diabetes in Pregnancy Ambulatory Care Center, Renato Dulbecco University Hospital, 88100 Catanzaro, Italy
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