1. A Meta-analysis of Gut Microbiota in Children with Autism
- Author
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Alejandro Veas, Pedro Andreo-Martínez, Agustín Ernesto Martínez-González, María Rubio-Aparicio, Julio Sánchez-Meca, Universidad de Alicante. Departamento de Psicología de la Salud, Universidad de Alicante. Departamento de Psicología Evolutiva y Didáctica, Psicología Aplicada a la Salud y Comportamiento Humano (PSYBHE), Habilidades, Competencias e Instrucción, and Grupo de Investigación Integral en el Neurodesarrollo Típico y Atípico (GINTA)
- Subjects
medicine.medical_specialty ,Autism Spectrum Disorder ,Gut microbiota ,Gut flora ,medicine.disease_cause ,digestive system ,03 medical and health sciences ,Psicología Evolutiva y de la Educación ,0302 clinical medicine ,Internal medicine ,mental disorders ,Developmental and Educational Psychology ,medicine ,Humans ,0501 psychology and cognitive sciences ,Autistic Disorder ,Child ,Bifidobacterium ,Bacteria ,biology ,Streptococcus ,05 social sciences ,Microbiota-gut-brain axis ,medicine.disease ,biology.organism_classification ,Autism spectrum disorders (ASD) ,Child development ,Gastrointestinal Microbiome ,Meta-analysis ,Reporting bias ,Personalidad, Evaluación y Tratamiento Psicológico ,Systematic review ,Dysbiosis ,Autism ,Psychology ,030217 neurology & neurosurgery ,050104 developmental & child psychology - Abstract
Previous studies have reported dysbiosis in the gut microbiota (GM) of children with autism spectrum disorders (ASD), which may be a determining factor on child development through the microbiota-gut-brain axis. However, it is not clear if there is a specific group of dysbiotic bacteria in ASD. The aim of this study was to carry out a meta-analysis on the studies that analyze GM in children with ASD. 18 studies fulfilled our selection criteria. Our results showed a lower relative abundance of Streptococcus (SMD(+) = - 0.999; 95% CI - 1.549, - 0.449) and Bifidobacterium genera (SMD(+) = - 0.513; 95% CI - 0.953, - 0.073) in children with ASD. Overall, the Bifidobacterium genera is involved. However, differences found between studies are attributed to factors such as reporting bias.
- Published
- 2021
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