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

152 significantly altered serum metabolites and 11 differentially abundant microbial taxa characterize this multi-omics dataset comparing Fragile X syndrome and autism spectrum disorder. The cross-sectional study by Jianen Zhu, published in 2026, includes 16S rRNA sequencing, untargeted metabolomics, and profiling of 13 serum cytokines. It identifies distinct dysregulation patterns in the Microbiota-Metabolite-Immune axis between the two neurodevelopmental conditions.

Use Cases

• Identify potential biomarkers for Fragile X syndrome based on 152 differentially altered serum metabolites.
• Compare microbial community structures between neurodevelopmental disorders using 16S rRNA sequencing results.
• Investigate immune dysregulation patterns by analyzing profiles of 13 serum cytokines, including elevated IL-17A.
• Explore shared and distinct pathophysiological mechanisms in the Microbiota-Metabolite-Immune axis.

Strengths

• Includes 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.
• Published under a CC-BY-4.0 license, facilitating open reuse and redistribution.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 11.4 KB, indicating limited scope or summary-level data.
• The cross-sectional study design may limit causal inference from the findings.

Provenance

Source

figshare, author Jianen Zhu.

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 05:29:18.

Geography

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