Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms
Infectious Diseases of Poverty·
- DOI
- 10.1186/s40249-026-01483-0
- PMID
- 42576235
- PMCID
- —
- OpenAlex
- W7202047524
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The documented reporting patterns indicate a rationale for strengthening psychiatric symptom tracking during post-vaccination windows and refining safety communications within biodefense preparedness programs.
Structured evidence summary
Research question
This analysis investigates whether depression-related adverse event reports occur at disproportionate frequencies following adsorbed anthrax vaccine administration compared to baseline, and how these patterns compare to reports for anthrax-targeted antibacterial medications.
Study design
The investigation employed an observational retrospective design utilizing two national spontaneous reporting databases to conduct disproportionality assessments and machine learning-based predictor identification, alongside exploratory transcriptomic mapping.
Population and setting
Data originated from voluntary submissions within United States pharmacovigilance systems, with demographic stratification emphasizing adult males and specific middle-aged cohorts.
Main findings
Disproportionality testing revealed elevated reporting ratios for depression-related events after vaccine administration, with concentrated signals in older adults and men. Predictive modeling identified event severity and patient age as primary drivers, while parallel drug queries detected comparable reporting trends for levofloxacin and doxycycline. Exploratory genomic screening pointed toward overlapping inflammatory biological pathways.
Public-health relevance
The documented reporting patterns indicate a rationale for strengthening psychiatric symptom tracking during post-vaccination windows and refining safety communications within biodefense preparedness programs.
Important limitations
Reliance on voluntary spontaneous submission frameworks inherently restricts the ability to calculate accurate incidence rates or determine definitive causal relationships.
GIDS interpretation
These pharmacovigilance outputs supply searchable contextual metadata regarding psychiatric symptom reports linked to specific biodefense countermeasures, supporting literature discovery and thematic clustering without implying active outbreak monitoring.
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 10 auditable classifier relationships to diseases, places, topics, and study design.