Microbiota-Metabolite-Immune Axis Profiles for Fragile X Syndrome and Autism

A cross-sectional multi-omics dataset compares the Microbiota-Metabolite-Immune axis in individuals with Fragile X syndrome and autism spectrum disorder. It includes results from 16S rRNA gut microbiota sequencing, untargeted serum metabolomics identifying 152 altered metabolites, and profiling of 13 serum cytokines. The dataset, created by Jianen Zhu and last updated in April 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Identify differentially abundant microbial taxa between FXS and ASD groups based on 16S rRNA sequencing results.
• Analyze dysregulated serum metabolite pathways, such as caffeine metabolism or steroid hormone biosynthesis.
• Compare cytokine profiles, including IL-17A levels, between the two disorder groups.
• Investigate shared and distinct dysregulation patterns within the Microbiota-Metabolite-Immune axis framework.

Strengths

• Integrates three distinct omics data types: 16S rRNA sequencing, untargeted metabolomics, and cytokine profiling.
• Identifies 152 significantly altered serum metabolites and 11 differentially abundant microbial taxa.
• Provides a direct comparative analysis between Fragile X syndrome and autism spectrum disorder.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (17.5 KB), indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare, author Jianen Zhu.

Collection Method

Cross-sectional study using 16S rRNA sequencing, UPLC-MS-based metabolomics, and cytokine quantification.

Time Range

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Freshness

Last updated 2026-04-10 05:29:19; freshness should be verified.

Geography

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