Global Neuroinflammation Biomarkers in Depression 2020-2024

Meta-analysis data from up to 58,256 participants on neuroinflammation biomarkers in depression and major depressive disorder. It includes biomarker levels, AUC diagnostic values, symptom correlations, and country-level prevalence estimates. The dataset supports research on the neuroinflammatory hypothesis of depression.

Use Cases

• Analyze IL-6 and TNF-alpha AUC values to evaluate their diagnostic performance for distinguishing MDD from controls.
• Investigate correlations between biomarker levels and symptom severity or treatment outcomes across global cohorts.
• Model country-level prevalence estimates of depression using compiled statistics from meta-analyses.
• Examine the relationship between CRP levels and specific patient demographics or clinical outcomes.

Strengths

• Compiles data from up to 58,256 participants, providing a substantial sample for analysis.
• Includes specific diagnostic performance metrics, such as an AUC of 0.861 for TNF-alpha.
• Covers a global scope with country-level prevalence estimates and data from 2020 to 2024.

Limitations

• The exact number of rows, columns, and file structure is unknown, complicating direct analysis.
• As a compilation from meta-analyses, the underlying individual-level patient data is not available.
• Potential for heterogeneity in measurement methods and cohort definitions across the source studies.

Provenance

Source

Juan Moises de la Serna Dataverse

Collection Method

Compiled from global meta-analyses and research studies.

Time Range

2020-2024

Freshness

Last updated in March 2026, containing data up to 2024.

Geography

Global