Differentially Expressed Inflammatory Mediators in COVID-19 Patients by Disease Severity

A supplementary dataset from a multi-omics study of severe COVID-19, authored by Ronaldo Lira-Junior and last updated in May 2026. The 35.9 KB XLSX file lists inflammatory mediators that are differentially expressed between patients with mild and severe disease. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Identify potential biomarker candidates for severe COVID-19 based on differential expression of inflammatory mediators.
• Investigate links between specific inflammatory pathways and clinical disease severity.
• Validate findings from multi-omics analyses by examining the inflammatory mediator component.
• Perform secondary analyses on immune response heterogeneity in viral infections.

Strengths

• File size is precisely 35.9 KB, indicating a focused dataset.
• License is clearly stated as CC-BY-4.0, permitting open reuse.
• Last update timestamp is provided (2026-05-30 03:35:29).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to a single supplementary table from a larger study.

Provenance

Source

figshare

Collection Method

Likely generated as part of a systemic multi-omics analysis of COVID-19 patient samples.

Freshness

Last updated 2026-05-30 03:35:29; freshness should be verified.