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Author Altimiras, F.; Garcia, J.A.; Palacios-Garcia, I.; Hurley, M.J.; Deacon, R.; Gonzalez, B.; Cogram, P. doi  openurl
  Title Altered Gut Microbiota in a Fragile X Syndrome Mouse Model Type
  Year 2021 Publication Frontiers in Neuroscience Abbreviated Journal Front. Neurosci.  
  Volume 15 Issue Pages 653120  
  Keywords AKKERMANSIA-MUCINIPHILA; BRAIN; AUTISM; METABOLISM; ECOLOGY; HEALTH; BOWEL  
  Abstract The human gut microbiome is the ecosystem of microorganisms that live in the human digestive system. Several studies have related gut microbiome variants to metabolic, immune and nervous system disorders. Fragile X syndrome (FXS) is a neurodevelopmental disorder considered the most common cause of inherited intellectual disability and the leading monogenetic cause of autism. The role of the gut microbiome in FXS remains largely unexplored. Here, we report the results of a gut microbiome analysis using a FXS mouse model and 16S ribosomal RNA gene sequencing. We identified alterations in the fmr1 KO2 gut microbiome associated with different bacterial species, including those in the genera Akkermansia, Sutterella, Allobaculum, Bifidobacterium, Odoribacter, Turicibacter, Flexispira, Bacteroides, and Oscillospira. Several gut bacterial metabolic pathways were significantly altered in fmr1 KO2 mice, including menaquinone degradation, catechol degradation, vitamin B6 biosynthesis, fatty acid biosynthesis, and nucleotide metabolism. Several of these metabolic pathways, including catechol degradation, nucleotide metabolism and fatty acid biosynthesis, were previously reported to be altered in children and adults with autism. The present study reports a potential association of the gut microbiome with FXS, thereby opening new possibilities for exploring reliable treatments and non-invasive biomarkers.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1662-453X ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000659516900001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1415  
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Author Goles, E.; Palacios, A.G. pdf  doi
openurl 
  Title Dynamical complexity in cognitive neural networks Type
  Year 2007 Publication Biological Research Abbreviated Journal Biol. Res.  
  Volume 40 Issue 4 Pages 479-485  
  Keywords artificial; neural net; brain; dynamical complexity; computational Neurosciences; cellular automata  
  Abstract In the last twenty years an important effort in brain sciences, especially in cognitive science, has been the development of mathematical tool that can deal with the complexity of extensive recordings corresponding to the neuronal activity obtained from hundreds of neurons. We discuss here along with some historical issues, advantages and limitations of Artificial Neural Networks (ANN) that can help to understand how simple brain circuits work and whether ANN can be helpful to understand brain neural complexity.  
  Address [Goles, Eric] Univ Adolfo Ibanez, Fac Ciencias, Santiago, Chile, Email: eric.chacc@uai.cl  
  Corporate Author Thesis  
  Publisher Soc Biolgia Chile Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0716-9760 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000256072000009 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 33  
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