Inflammation and iron metabolism dysregulation as hallmarks of COVID-19 severity
Frontiers in Immunology·
- DOI
- 10.3389/fimmu.2026.1908452
- PMID
- —
- PMCID
- —
- OpenAlex
- —
- Study type
- Case-control study
- Publisher
- Frontiers Media SA
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings suggest that inflammatory and iron metabolism biomarkers may help stratify COVID-19 severity and identify mechanisms underlying disease progression, including persistent pathology in severe long COVID-19.
Structured evidence summary
Research question
The study examined the association between inflammatory markers, iron metabolism parameters, and COVID-19 disease severity, and explored whether these features also relate to long COVID-19 severity.
Study design
This was a retrospective, multicentre, case-control-cross-sectional observational study with 144 hospitalized COVID-19 patients and 139 COVID-19-negative controls enrolled at two hospitals in Lombardy, Italy. An exploratory transcriptomic analysis of publicly available PBMC data was included to assess long COVID-19.
Population and setting
The study enrolled 144 hospitalized COVID-19 patients stratified into four severity groups and 139 COVID-19-negative controls (individuals referred for vaccination) from two hospitals in Lombardy, Italy.
Main findings
COVID-19 patients showed elevated inflammatory markers (IL-6, S100A8/A9, C-reactive protein), ferritin, and hepcidin, alongside reduced serum iron, transferrin, and saturated transferrin compared to controls. Greater disease severity correlated with higher ferritin, inflammatory markers, and white blood cell and neutrophil counts, but lower total transferrin. Transcriptomic analysis revealed that alterations in iron metabolism and inflammation pathways persisted in patients with severe long COVID-19.
Public-health relevance
The findings suggest that inflammatory and iron metabolism biomarkers may help stratify COVID-19 severity and identify mechanisms underlying disease progression, including persistent pathology in severe long COVID-19.
Important limitations
This summary is limited to the supplied single-article abstract and metadata. Decision-grade interpretation requires review of the original paper, including detailed methods, statistical analyses, adjustment for confounders, and full discussion of study limitations.
GIDS interpretation
The article was linked to COVID-19 and Italy by classification metadata, and vaccination appears as a contextual descriptor for the control group rather than a primary exposure or outcome. These tags aid discoverability but do not establish that the paper addresses a current surveillance signal or public health alert.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 6 auditable classifier relationships to diseases, places, topics, and study design.