Imidacloprid (IMI), a commonly utilized neonicotinoid insecticide, has been identified to adversely impact glucose homeostasis. Pregnant women are believed to be more sensitive to toxins than non-pregnant women, and the impact of IMI exposure on gestational hyperglycemia remain unclear. To explore the impact, pregnant mice fed a high-fat diet were exposed to different doses (0.06, 0.6, 6 mg/kg bw/day) of IMI by gavage. Glucose homeostasis-related parameters were measured. The glucose homeostasis influenced by IMI treatment was explored through integrating gut microbiota, metabolomic and transcriptomic analysis. Results showed that IMI-H (6 mg/kg bw/day) exposure notably restricted gestational weight gain and perturbed glucose homeostasis characterized by reduced glucose tolerance and insulin sensitivity, alongside elevated levels of fasting blood glucose and insulin. Multi-omics analysis revealed that IMI-H exposure induced significant changes in the richness and composition of the gut microbiome. The metabolite profiles of serum samples and cecal contents, and transcriptome of liver and ileum were all affected by IMI-H treatment. The altered gut microbiota, metabolites and genes exhibited significant correlations with glucose homeostasis-related parameters. These differential metabolites and genes were implicated in various metabolic pathways including bile secretion, glucagon signaling pathway, lipid metabolism, fatty acid metabolism. Significant correlations were observed between the altered gut microbiota and caecum metabolome as well as liver transcriptome. For example, the abundance of Oscillibacter was strongly correlated with gut microflora-related metabolites (Icosenoic acid, Lysosulfatide, and fluticasone) and liver differential genes (Grin3b, Lifr, and Spta1). Together, IMI exposure resulted in significant changes in microbial composition, along with alterations in certain metabolites and genes associated with metabolic process, which may promote gestational hyperglycemia.
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http://dx.doi.org/10.1016/j.ecoenv.2024.116561 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Editorial Board of Jiangsu Medical Journal, the First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
Background: Gestational diabetes mellitus is hyperglycemia in special populations (pregnant women), however gestational diabetes mellitus (GDM) not only affects maternal health, but also has profound effects on offspring health. The prevalence of gestational diabetes in my country is gradually increasing.
Objective: To study the application effect of self-transcendence nursing model in GDM patients.
Nutrients
January 2025
Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
Background/objectives: This study investigates the impact of maternal glycemic levels during early and late pregnancy on offspring neurodevelopment in China.
Methods: Fasting plasma glucose (FPG) and triglyceride (TG) levels were measured in maternal blood during pregnancy, and the TyG index was calculated to assess insulin resistance. Hyperglycemia was defined as FPG > 5.
Endocr Pract
January 2025
University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, 1775 Aurora Court, Aurora, CO 80045, USA. Electronic address:
Objectives: Type 1 diabetes (T1D) in pregnancy is challenging. This study explores how assisted hybrid closed-loop (HCL) therapy versus sensor-augmented pump therapy (SAPT) impacts quality of life (QoL) in pregnancy.
Methods: We interviewed 22 of 24 participants randomized to HCL therapy or SAPT in the Pregnancy Intervention with a Closed-Loop System study.
Diabetes Obes Metab
January 2025
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.
Aims: Physiological changes during pregnancy can infuence the performance of blood glucose meters. This study aimed to evaluate the analytical and clinical accuracy of glucose meters in pregnant women with hyperglycaemia.
Materials And Methods: Glucose was measured by four commonly used meters among consecutive women with diabetes in pregnancy.
BMC Genomics
January 2025
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Background: There is increasing need for effective incorporation of high-dimensional genetics data from individuals with varied ancestry in genome-wide association (GWAS) analyses. Classically, multi-ancestry GWAS analyses are performed using statistical meta-analysis to combine results conducted within homogeneous ancestry groups. The emergence of cosmopolitan reference panels makes collective preprocessing of GWAS data possible, but impact on downstream GWAS results in a mega-analysis framework merits investigation.
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