Microbiota I-Center (MagIC), Hong Kong SAR, China.
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Nat Microbiol. 2024 Sep;9(9):2344-2355. doi: 10.1038/s41564-024-01739-1. Epub 2024 Jul 8.
Associations between the gut microbiome and autism spectrum disorder (ASD) have been investigated although most studies have focused on the bacterial component of the microbiome. Whether gut archaea, fungi and viruses, or function of the gut microbiome, is altered in ASD is unclear. Here we performed metagenomic sequencing on faecal samples from 1,627 children (aged 1-13 years, 24.4% female) with or without ASD, with extensive phenotype data. Integrated analyses revealed that 14 archaea, 51 bacteria, 7 fungi, 18 viruses, 27 microbial genes and 12 metabolic pathways were altered in children with ASD. Machine learning using single-kingdom panels showed area under the curve (AUC) of 0.68 to 0.87 in differentiating children with ASD from those that are neurotypical. A panel of 31 multikingdom and functional markers showed a superior diagnostic accuracy with an AUC of 0.91, with comparable performance for males and females. Accuracy of the model was predominantly driven by the biosynthesis pathways of ubiquinol-7 or thiamine diphosphate, which were less abundant in children with ASD. Collectively, our findings highlight the potential application of multikingdom and functional gut microbiota markers as non-invasive diagnostic tools in ASD.
虽然大多数研究都集中在微生物组的细菌成分上,但人们已经研究了肠道微生物组与自闭症谱系障碍(ASD)之间的关联。在 ASD 中,肠道古菌、真菌和病毒,或者肠道微生物组的功能是否发生改变尚不清楚。在这里,我们对 1627 名儿童(年龄 1-13 岁,24.4%为女性)的粪便样本进行了宏基因组测序,这些儿童患有或不患有 ASD,并具有广泛的表型数据。综合分析显示,14 种古菌、51 种细菌、7 种真菌、18 种病毒、27 种微生物基因和 12 种代谢途径在患有 ASD 的儿童中发生了改变。使用单菌群面板进行机器学习显示,区分 ASD 儿童和神经典型儿童的曲线下面积(AUC)为 0.68 至 0.87。由 31 种多菌群和功能标志物组成的面板具有更高的诊断准确性,AUC 为 0.91,男性和女性的性能相当。该模型的准确性主要由泛醌-7 或硫胺素二磷酸的生物合成途径驱动,这些物质在 ASD 儿童中含量较少。总之,我们的研究结果强调了多菌群和功能肠道微生物群标志物作为 ASD 非侵入性诊断工具的潜在应用。