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Sánchez-Solís de Querol, Manuel

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Sánchez-Solís de Querol, Manuel
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Universidad de Murcia. Departamento de Cirugía, Pediatría, Obstetriciay Ginecología
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Author: Ramos-Molina, Bruno × Subject: Childhood obesity ×

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    Inherited epigenetic hallmarks of childhood obesity derived from prenatal exposure to obesogens
    (MDPI, 2023-03-07) Núñez-Sánchez, María Á.; Jiménez-Méndez, Almudena; Suárez Cortés, María; Martínez-Sánchez, María A.; Sánchez-Solís de Querol, Manuel; Blanco Carnero, José Eliseo; Ruiz Alcaraz, Antonio José; Ramos-Molina, Bruno; Bioquímica y Biología Molecular B e Inmunología; Facultad de Biología
    Childhood obesity has reached epidemic levels in developed countries and is becoming a major cause for concern in the developing world. The causes of childhood obesity are complex and multifactorial, involving the interaction between individual genetics and environmental and developmental factors. Among the environmental factors, there is a growing interest in understanding the possible relationship between the so-called environmental obesogens and the development of obesity in children. Exposure to these obesogens such as phthalates, bisphenol A, or parabens, has been identified as a promoter of obesity through different mechanisms such as the alteration of adipocyte development from mesenchymal progenitors, the interference with hormone receptors, and induced inflammation. However, less attention has been paid to the inheritance of epigenetic modifications due to maternal exposure to these compounds during pregnancy. Thus, the aim of this review is to summarize the current knowledge of epigenetic modifications due to maternal exposure to those obesogens during pregnancy as well as their potential implication on long-term obesity development in the offspring and transgenerational inheritance of epiphenotypes.
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    Dynamics of the epigenome, microbiome, and metabolome in relation to early adiposity in the maternal–infant axis: protocol for a prospective, observational pilot study in the spanish NEMO cohort
    (MDPI, 2025-09-23) Suárez Cortés, María; Juan-Pérez, Almudena; Molina Rodríguez, Alonso; Araújo de Castro, Julia; Castaño Molina, María de los Ángeles; Fernández Ruiz, Virginia Esperanza; Jiménez-Méndez, Almudena; Pérez-Munar, Paula Martínez; Rico-Chazarra, Sara; Ramos-Molina, Bruno; Sánchez-Solís de Querol, Manuel; Blanco Carnero, José Eliseo; Ruiz Alcaraz, Antonio José; Núñez-Sánchez, María Ángeles; Bioquímica y Biología Molecular B e Inmunología; Facultad de Biología
    Background: Childhood obesity has reached epidemic levels in developed countries and is an emerging concern in developing regions. Children with excess weight are more likely to maintain this condition over time into adulthood and face a higher risk of developing metabolic disorders such as type 2 diabetes, hypertension, metabolic dysfunction-associated liver disease, and dyslipidemia. Early identification of obesity risk is, therefore, a key public health challenge. Methods: This is an observational, prospective, single-center cohort pilot study in 66 mother–infant dyads recruited at the Gynecology and Obstetrics Service of the Virgen de la Arrixaca University Hospital (Murcia, Spain). The primary objective is to identify early-life, non-invasive biomarkers associated with increased adiposity by integrating multi-omics approaches and analyzing maternal–infant interactions. Pregnant women will be enrolled during the third trimester and will undergo a baseline visit at 38 weeks of gestation for clinical and anthropometric assessment. Buccal swabs and fecal samples will be collected at baseline and in the peripartum period for epigenetic (DNA methylation), metagenomic, and metabolomic analyses. Infants will be evaluated at birth and followed at 6 months, 1 year, 2 years, and 3 years. Each visit will include detailed anthropometric measurements, along with collection of buccal swabs and fecal samples for multi-omics profiling. Conclusions: This multidisciplinary study aims to assess how maternal factors influence infant epigenetic and microbial patterns, and their relation to adiposity development. Early identification of such biomarkers may guide personalized prevention strategies and reduce the long-term burden of obesity-related comorbidities.
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