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

A cross-sectional study by Jianen Zhu, last updated in April 2026, compares the Microbiota-Metabolite-Immune axis in Fragile X syndrome and autism spectrum disorder. The dataset includes results from 16S rRNA sequencing, untargeted serum metabolomics, and cytokine profiling. It contains findings on 11 differentially abundant microbial taxa, 152 altered serum metabolites, and 13 analyzed cytokines.

Use Cases

• Identify potential biomarkers for neurodevelopmental disorders based on differential metabolite profiles.
• Compare immune dysregulation patterns between monogenic and idiopathic autism based on cytokine data.
• Analyze shared and distinct gut microbiota profiles between Fragile X syndrome and autism spectrum disorder.
• Investigate correlations between microbial taxa, serum metabolites, and immune markers within the MMI axis.

Strengths

• Includes multi-omics data from three distinct analytical methods: 16S rRNA sequencing, untargeted metabolomics, and cytokine profiling.
• Identifies specific quantitative findings: 11 differentially abundant taxa and 152 significantly altered serum metabolites.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

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 (21.0 KB), indicating it likely contains summary or processed results rather than raw sequencing or spectral data.

Provenance

Source

figshare

Collection Method

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

Time Range

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Freshness

Last updated 2026-04-10 05:29:17; freshness should be verified.

Geography

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