Gut microbiota (GM) alterations have been implicated in autism spectrum disorder (ASD), yet the specific functional architecture remains elusive. Here, employing multi-omics approaches, we investigate stool samples from two distinct cohorts comprising 203 children with mild ASD or typical development. In our screening cohort, regression-based analysis for metabolomic profiling identifies an elevated γ-aminobutyric acid (GABA) to glutamate (Glu) ratio as a metabolic signature of ASD, independent of age and gender. In the validating cohort, we affirm the GABA/Glu ratio as an ASD diagnostic indicator after adjusting for geography, age, gender, and specific food-consuming frequency. Integrated analysis of metabolomics, 16S rRNA sequencing, and metagenomics reveals a correlation between overrepresented Escherichia and disrupted GABA metabolism. Furthermore, we observe social behavioral impairments in weaning mice transplanted with E. coli, suggesting a potential link to ASD symptomatology. Collectively, these findings provide insights into potential diagnostic and therapeutic strategies aimed at evaluating and restoring gut microbial neurotransmitter homeostasis.
Gut microbial GABA imbalance emerges as a metabolic signature in mild autism spectrum disorder linked to overrepresented Escherichia.
肠道微生物 GABA 失衡是轻度自闭症谱系障碍的代谢特征,与大肠杆菌过度表达有关
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作者:Wang Dilong, Jiang Youheng, Jiang Jian, Pan Yihang, Yang Yanming, Fang Xiaoyi, Liang Liyang, Li Hai, Dong Zepeng, Fan Shilu, Ma Daqing, Zhang Xue-Song, Li Huiliang, He Yulong, Li Ningning
| 期刊: | Cell Reports Medicine | 影响因子: | 10.600 |
| 时间: | 2025 | 起止号: | 2025 Jan 21; 6(1):101919 |
| doi: | 10.1016/j.xcrm.2024.101919 | 研究方向: | 代谢、微生物学 |
| 疾病类型: | 自闭症 | ||
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