<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Morton JT</submitter><funding>Eunice Kennedy Shriver National Institute of Child Health and Human Development</funding><funding>European Research Council</funding><funding>Israel Science Foundation</funding><funding>National Natural Science Foundation of China</funding><funding>Wellcome Trust</funding><pagination>1208-1217</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10322709</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(7)</volume><pubmed_abstract>Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut-brain axis (GBA) has been implicated in ASD although with limited reproducibility across studies. In this study, we developed a Bayesian differential ranking algorithm to identify ASD-associated molecular and taxa profiles across 10 cross-sectional microbiome datasets and 15 other datasets, including dietary patterns, metabolomics, cytokine profiles and human brain gene expression profiles. We found a functional architecture along the GBA that correlates with heterogeneity of ASD phenotypes, and it is characterized by ASD-associated amino acid, carbohydrate and lipid profiles predominantly encoded by microbial species in t</pubmed_abstract><journal>Nature neuroscience</journal><pubmed_title>Multi-level analysis of the gut-brain axis shows autism spectrum disorder-associated molecular and microbial profiles.</pubmed_title><pmcid>PMC10322709</pmcid><funding_grant_id>WT206194</funding_grant_id><funding_grant_id>101001355</funding_grant_id><funding_grant_id>82071733)</funding_grant_id><funding_grant_id>818/17</funding_grant_id><pubmed_authors>McDonald D</pubmed_authors><pubmed_authors>Danilenko VN</pubmed_authors><pubmed_authors>Elliott E</pubmed_authors><pubmed_authors>Frankiensztajn LM</pubmed_authors><pubmed_authors>Lawley TD</pubmed_authors><pubmed_authors>Cardenas P</pubmed_authors><pubmed_authors>Donovan SM</pubmed_authors><pubmed_authors>Jiang Y</pubmed_authors><pubmed_authors>Wang M</pubmed_authors><pubmed_authors>Noto A</pubmed_authors><pubmed_authors>Shao Y</pubmed_authors><pubmed_authors>Koren O</pubmed_authors><pubmed_authors>Morton JT</pubmed_authors><pubmed_authors>Balaban M</pubmed_authors><pubmed_authors>Averina OV</pubmed_authors><pubmed_authors>Bonneau R</pubmed_authors><pubmed_authors>Mazmanian SK</pubmed_authors><pubmed_authors>Jin DM</pubmed_authors><pubmed_authors>David M</pubmed_authors><pubmed_authors>Jacquemont S</pubmed_authors><pubmed_authors>Zurita MF</pubmed_authors><pubmed_authors>Needham BD</pubmed_authors><pubmed_authors>Mills RH</pubmed_authors><pubmed_authors>Frank DN</pubmed_authors><pubmed_authors>Wall DP</pubmed_authors><pubmed_authors>Li E</pubmed_authors><pubmed_authors>Cantrell K</pubmed_authors><pubmed_authors>Taroncher-Oldenburg G</pubmed_authors><pubmed_authors>Xavier RJ</pubmed_authors><pubmed_authors>Carmel J</pubmed_authors><pubmed_authors>Rahman G</pubmed_authors><pubmed_authors>Martin-Brevet S</pubmed_authors><pubmed_authors>Zhou W</pubmed_authors><pubmed_authors>Gilbert JA</pubmed_authors><pubmed_authors>Fanos V</pubmed_authors><pubmed_authors>Knight R</pubmed_authors><pubmed_authors>Kovtun AS</pubmed_authors><pubmed_authors>Carpenter B</pubmed_authors><pubmed_authors>Mussap M</pubmed_authors><pubmed_authors>Baldeon ME</pubmed_authors><pubmed_authors>Berding K</pubmed_authors><pubmed_authors>Zhu Q</pubmed_authors><pubmed_authors>Gonzalez A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multi-level analysis of the gut-brain axis shows autism spectrum disorder-associated molecular and microbial profiles.</name><description>Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut-brain axis (GBA) has been implicated in ASD although with limited reproducibility across studies. In this study, we developed a Bayesian differential ranking algorithm to identify ASD-associated molecular and taxa profiles across 10 cross-sectional microbiome datasets and 15 other datasets, including dietary patterns, metabolomics, cytokine profiles and human brain gene expression profiles. We found a functional architecture along the GBA that correlates with heterogeneity of ASD phenotypes, and it is characterized by ASD-associated amino acid, carbohydrate and lipid profiles predominantly encoded by microbial species in t</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jul</publication><modification>2025-06-01T00:14:31.669Z</modification><creation>2025-06-01T00:14:31.669Z</creation></dates><accession>S-EPMC10322709</accession><cross_references><pubmed>37365313</pubmed><doi>10.1038/s41593-023-01361-0</doi></cross_references></HashMap>