Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contattaci
  • Manda Feedback
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Ricerca

    Tutto RIUBUArchivi & CollezioniData di pubblicazioneAutoriTitoliSoggettiQuesta CollezioneData di pubblicazioneAutoriTitoliSoggetti

    My Account

    LoginRegistrazione

    Statistiche

    Ver Estadísticas de uso

    Compartir

    Mostra Item 
    •   RIUBU Home
    • E-Prints
    • Untitled
    • Departamento de Ciencias de la Salud
    • Untitled
    • Untitled
    • Mostra Item
    •   RIUBU Home
    • E-Prints
    • Untitled
    • Departamento de Ciencias de la Salud
    • Untitled
    • Untitled
    • Mostra Item

    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/8561

    Título
    NMR-Based Metabolomics Approach to Explore Brain Metabolic Changes Induced by Prenatal Exposure to Autism-Inducing Chemicals
    Autor
    Abreu, Ana Cristina
    Morales Navas, MiguelAutoridad UBU Orcid
    Pérez Fernández, Cristian AntonioAutoridad UBU Orcid
    Sánchez Santed, Fernando
    Fernández, Ignacio
    Publicado en
    ACS Chemical Biology. 2021, V. 16, n. 4, p. 753-765
    Editorial
    American Chemical Society
    Fecha de publicación
    2021
    ISSN
    1554-8929
    DOI
    10.1021/ACSCHEMBIO.1C00053
    Abstract
    NMR offers the unique potential to holistically screen hundreds of metabolites and has already proved to be a powerful technique able to provide a global picture of a wide range of metabolic processes underlying complex and multifactorial diseases, such as neurodegenerative and neurodevelopmental diseases. The aim of this study was to apply an NMR-based metabolomics approach to explore brain metabolic changes in both male and female rats induced by prenatal exposure to two chemicals associated with autism disorders—the organophosphorus pesticide chlorpyrifos (CPF) and the antiepileptic drug valproic acid (VPA)—at different postnatal ages. Depending on the age and on the brain region (hippocampus and cerebellum), several metabolites were shown to be significantly affected by exposure to both compounds. The evaluation of the spectral profiles revealed that the nervous-system-specific metabolite N-acetylaspartate (NAA), amino acid neurotransmitters (e.g., glutamate, glutamine, GABA, glycine), pyroglutamic acid, unsaturated fatty acids, and choline-based compounds are discriminant biomarkers. Additionally, metabolic changes varied as a function of age, but importantly not of sex.
    Materia
    Fisiología
    Physiology
    Química física
    Chemistry, Physical and theoretical
    Psicología
    Psychology
    Salud
    Health
    URI
    http://hdl.handle.net/10259/8561
    Versión del editor
    https://doi.org/10.1021/ACSCHEMBIO.1C00053
    Aparece en las colecciones
    • Untitled
    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Files in questo item
    Nombre:
    Abreu-acscb_2021.pdf
    Tamaño:
    3.146Mb
    Formato:
    Adobe PDF
    Thumbnail
    Mostra/Apri

    Métricas

    Citas

    Academic Search
    19
    CITATIONS
    19 total citations on Dimensions.
    19 Total citations
    11 Recent citations
    2.71 Field Citation Ratio
    1.01 Relative Citation Ratio
    Ver estadísticas de uso

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Mostra tutti i dati dell'item