Background: Family history of obesity is known to increase the odds of developing childhood obesity in the offspring, but its influence in underlying molecular complications remains unexplored.
Subjects/methods: Here, we investigated a population-based cohort comprising children with obesity, with and without parental obesity (PO+, N = 20; PO-, N = 29), and lean healthy children as controls (N = 30), from whom plasma and erythrocyte samples were collected to characterize their multi-elemental profile, inflammatory status, as well as carbohydrate and lipid metabolisms.
Results: We found parental obesity to be associated with unhealthier outcomes in children, as reflected in increased blood insulin levels and reduced insulin sensitivity, unfavorable lipid profile, and pro-inflammatory milieu. This was accompanied by moderate alterations in the content of trace elements, including increased copper-to-zinc ratios and iron deficiency in circulation, as well as metal accumulation within erythrocytes.
Conclusions: Therefore, we hypothesize that family history of obesity could be an important risk factor in modulating the characteristic multi-elemental alterations behind childhood obesity, which in turn could predispose to boost related comorbidities and metabolic complications.
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http://dx.doi.org/10.1038/s41387-024-00258-6 | DOI Listing |
Ophthalmol Ther
January 2025
Dr. Rolf M. Schwiete Center for Limbal Stem Cell and Congenital Aniridia Research, Saarland University, Homburg, Saar, Germany.
Introduction: Congenital aniridia is increasingly recognized as part of a complex syndrome with numerous ocular developmental anomalies and non-ocular systemic manifestations. This requires comprehensive care and treatment of affected patients. Our purpose was to analyze systemic diseases in patients with congenital aniridia within the Homburg Aniridia Registry.
View Article and Find Full Text PDFWorld J Pediatr
January 2025
Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Background: Some studies have revealed various sleep patterns in adolescents and adults using multidimensional objective sleep parameters. However, it remains unknown whether these patterns are consistent from adolescence to young adulthood and how they relate to long-term obesity.
Methods: Seven-day accelerometry was conducted in German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development (GINIplus) and Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany (LISA) birth cohorts during the 15-year and 20-year follow-ups, respectively.
J Autism Dev Disord
January 2025
Department of Public Health Sciences, Clemson University, Clemson, SC, USA.
Youth with autism spectrum disorder (ASD) are at nearly twice the risk of experiencing obesity, compared to youth without ASD. Wellness Education to Create Healthy habits and Actions to Thrive (WE CHAT) is a novel chatbot that engages participants to enhance primary care delivery and associated care coordination services through mobile health (mHealth) technology focused on social determinants of health (SDOH) and social-emotional health. This study examines multiple perspectives regarding the development and implementation of innovative mHealth technology among youth with ASD.
View Article and Find Full Text PDFCurr Nutr Rep
January 2025
Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527, Athens, Greece.
Purpose Of The Review: Ultra-processed foods (UPFs) represent foods that have undergone substantial industrial processing, such as the addition of preservatives and various other ingredients, thereby making them more tasty, appealing and easy to consume. UPFs are often rich in sugars, saturated fats and salt, while they are low in essential nutrients.The aim of this review is to examine the relationship between the widespread consumption of UPFs and the development of obesity among children and adolescents.
View Article and Find Full Text PDFBMC Public Health
January 2025
Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Background: To investigate the joint associations between various body fat distribution parameters and high blood pressure (HBP) using the Bayesian Kernel Machine Regression (BKMR) model in school-aged children.
Methods: A diverse sample of 7 ∼ 17 years old (N = 1423; 50.25% boys) was recruited for this study.
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