小柯机器人

美国西蒙基金会Gaspar Taroncher-Oldenburg研究组发现，肠-脑轴的多层次分析显示自闭症谱系障碍相关的分子和微生物特征。这一研究成果于2023年6月26日在线发表在国际学术期刊《自然—神经科学》上。

研究人员开发了一种贝叶斯差异排名算法，在10个横断面微生物组数据集和其他15个数据集（包括饮食模式、代谢组学、细胞因子谱和人脑基因表达谱）中识别与自闭症谱系障碍（ASD）相关的分子和分类群谱。研究人员发现沿肠-脑轴（GBA）的功能架构与ASD表型的异质性相关，其特点是ASD相关的氨基酸、碳水化合物和脂质概况主要由普雷沃特菌属、双歧杆菌属、脱硫弧菌属和细菌属的微生物物种编码，并与大脑基因表达变化、限制性饮食模式和促炎症细胞因子概况相关。

在年龄匹配和性别匹配的队列中所显示的功能结构并不存在于同胞匹配的队列中。研究人员还显示了微生物组组成的时间变化与ASD表型之间的密切联系。总之，研究人员提出了一个框架，从而利用来自定义明确的队列的多组数据集来揭示GBA如何影响ASD。

据悉，ASD是一种神经发育障碍，其特点是有不同的认知、行为和交流障碍。GBA的破坏已被发现牵涉到ASD中，尽管不同研究的可重复性有限。

附：英文原文

Title: Multi-level analysis of the gut–brain axis shows autism spectrum disorder-associated molecular and microbial profiles

Author: Morton, James T., Jin, Dong-Min, Mills, Robert H., Shao, Yan, Rahman, Gibraan, McDonald, Daniel, Zhu, Qiyun, Balaban, Metin, Jiang, Yueyu, Cantrell, Kalen, Gonzalez, Antonio, Carmel, Julie, Frankiensztajn, Linoy Mia, Martin-Brevet, Sandra, Berding, Kirsten, Needham, Brittany D., Zurita, Mara Fernanda, David, Maude, Averina, Olga V., Kovtun, Alexey S., Noto, Antonio, Mussap, Michele, Wang, Mingbang, Frank, Daniel N., Li, Ellen, Zhou, Wenhao, Fanos, Vassilios, Danilenko, Valery N., Wall, Dennis P., Crdenas, Pal, Balden, Manuel E., Jacquemont, Sbastien, Koren, Omry, Elliott, Evan, Xavier, Ramnik J., Mazmanian, Sarkis K., Knight, Rob, Gilbert, Jack A., Donovan, Sharon M., Lawley, Trevor D., Carpenter, Bob, Bonneau, Richard, Taroncher-Oldenburg, Gaspar

Issue&Volume: 2023-06-26

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 the genera Prevotella, Bifidobacterium, Desulfovibrio and Bacteroides and correlates with brain gene expression changes, restrictive dietary patterns and pro-inflammatory cytokine profiles. The functional architecture revealed in age-matched and sex-matched cohorts is not present in sibling-matched cohorts. We also show a strong association between temporal changes in microbiome composition and ASD phenotypes. In summary, we propose a framework to leverage multi-omic datasets from well-defined cohorts and investigate how the GBA influences ASD.

DOI: 10.1038/s41593-023-01361-0

Source: https://www.nature.com/articles/s41593-023-01361-0

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex