Multi-Omics Profiles for Viral-Associated Pulmonary Aspergillosis Patients

35 patients with viral pneumonia and 20 with viral-associated pulmonary aspergillosis were profiled using proteomics and metabolomics. Xue Li published this dataset on figshare in 2026, identifying 1,930 proteins and 1,532 metabolites. The data reveals systemic inflammatory, immune, and metabolic alterations associated with the severe coinfection.

Use Cases

• Identify protein biomarkers for disease severity based on differential abundance of inflammatory and immune signaling proteins.
• Analyze metabolic pathway dysregulation based on alterations in lipid metabolism and oxidative stress-related metabolites.
• Train classifiers to distinguish viral pneumonia from viral-fungal coinfection based on integrated proteomic and metabolomic features.
• Investigate correlations between coagulation abnormalities and specific proteomic profiles mentioned in the results.

Strengths

• Integrated multi-omics data covering 1,930 proteins and 1,532 metabolites from a single study.
• Includes a defined cohort of 55 patients across two clinical conditions (VP and VAPA).
• Data is structured with differential analyses and pathway enrichment (GO/KEGG) already performed, as described.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 120.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Plasma samples analyzed via data-independent acquisition (DIA) proteomics and untargeted metabolomics.

Freshness

Last updated 2026-05-28 04:52:48; freshness should be verified.