Table 1_Dysbiosis of intestinal microbiota in patients with neuromyelitis optica spectrum

Fecal microbial composition and metabolomic profiles from 21 treatment-naïve neuromyelitis optica spectrum disorder (NMOSD) patients and 21 matched healthy controls. Data was generated using 16S rRNA gene sequencing and ultra-high-performance liquid chromatography-mass spectrometry, with a longitudinal follow-up after immunosuppressant treatment. The dataset was authored by Qin Du and last updated on March 18, 2026.

Use Cases

• Identify microbial biomarkers for NMOSD based on reported genus-level abundances like Streptococcus and Faecalibacterium.
• Analyze metabolic pathway alterations associated with NMOSD using the 19 differentially abundant metabolites mentioned.
• Assess the longitudinal impact of immunosuppressant treatment on gut microbiome composition over six months.
• Compare alpha-diversity metrics between patient and control groups as reported in the study.

Strengths

• Includes longitudinal data with samples collected before and after immunosuppressant treatment for the same patients.
• Dataset is paired, with 21 NMOSD patients matched to 21 healthy controls.
• Analysis includes both 16S rRNA sequencing for microbial composition and metabolomic profiling via mass spectrometry.

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 very small at 20.0 KB, indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare, author Qin Du.

Collection Method

16S rRNA gene sequencing and ultra-high-performance liquid chromatography-mass spectrometry on fecal samples.

Freshness

Last updated 2026-03-18 07:37:26; freshness should be verified.