Autism spectrum disorder (ASD) affects an estimated 1%-2% of children worldwide, but its specific etiology remains unclear. In recent years, the gut microbio me's role in ASD pathogenesis has garnered increasing attention. However, the exact relationship between microbiota and ASD-such as which microbial species significantly impact disease onset and progression-remains unresolved, and effective methods to measure microbial interactions are still lacking. In this study, we introduce an innova tive stiffness network analysis (SNA) method to quantify changes in microbial network structure and identify disease-specific microbial bacteria theoretically. The SNA method was applied to reanalyze eight ASD gut microbiome data sets, encompassing 898 ASD samples and 467 healthy control (HC) samples from 16S-rRNA sequencing data. Key findings include the following: (i) an allies biomarker subgroup consisting of Bacter oides plebeius, Sutterella, Lachnospira, and Prevotella copri was identified; (ii) a profile monitoring score of 0.72 for the biomarker subgroup, indicating significant relationship changes between HC and ASD states, and (iii) a P/N ratio of biomarker subgroup in ASD-associated gut bacteria that was three times higher than that of HC microbiomes. Additionally, we discuss the non-monotonic relationship alterations within microbial sub-communities in the ASD gut microbiome.
Chen, HJ,Yi, B,Ma, ZS. Resilience of human gut microbiomes in autism spectrum disorder: measured using stiffness network analysis[J]. MICROBIOL SPECTR,2025,13(3).
APA
Chen, HJ,Yi, B,&Ma, ZS.(2025).Resilience of human gut microbiomes in autism spectrum disorder: measured using stiffness network analysis.MICROBIOL SPECTR,13(3).
MLA
Chen, HJ,et al."Resilience of human gut microbiomes in autism spectrum disorder: measured using stiffness network analysis".MICROBIOL SPECTR 13.3(2025).
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