Significantly Altered Metabolites in COVID-19 Immune Clusters

Additional file 6 from a multi-omics study by Ronaldo Lira-Junior, last updated in May 2026, lists metabolites significantly altered in COVID-19 patients grouped by interferon-stimulated gene clusters. The dataset is 674.8 KB in size and is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify metabolic biomarkers linked to severe disease based on interferon response clusters.
• Investigate the relationship between lipid metabolism and immune dysregulation based on significantly altered metabolites.
• Validate multi-omics findings by correlating metabolite changes with gene expression patterns mentioned in the study.

Strengths

• The data is directly linked to a peer-reviewed multi-omics analysis of severe COVID-19.
• It is shared under a permissive CC-BY-4.0 license, facilitating reuse.
• The file size of 674.8 KB suggests a focused, manageable list of significant findings.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The data is a supplementary file; its context is dependent on the main study's methods and cohort.

Provenance

Source

Ronaldo Lira-Junior via figshare.

Collection Method

Derived from a systemic multi-omics analysis of severe COVID-19 patients.

Freshness

Last updated 2026-05-30 03:35:29