Examining the Association between Systemic Inflammation and White Matter Hyperintensities: A Systematic Review with Meta-Analysis
Year: 2026
Type: review
Study designs: Systematic Review, Meta-Analysis
Abstract: BACKGROUND: White matter hyperintensities (WMH) are common MRI markers of cerebral small vessel disease, and systemic inflammation may contribute to their development. PURPOSE: To investigate the association between blood inflammatory markers and WMH burden. DATA SOURCES: PubMed, Embase, and the Cochrane Library (January 2010–January 2025). STUDY SELECTION: Studies reporting blood inflammatory biomarkers and quantitative WMH burden on brain MRI were included. Studies not published in English, nonhuman studies, retracted publications, reviews, and reports without extractable data were excluded. Of 392 records, 309 unique records were screened; 29 studies met inclusion criteria, and 11 were included in the meta-analysis (n = 8846). DATA ANALYSIS: Study and patient characteristics, WMH volume, and sample size were extracted. Methodological quality was assessed with MINORS and certainty of evidence with GRADE. DATA SYNTHESIS: Random-effects meta-analysis and meta-regression were performed. Heterogeneity was substantial (I2 = 99.9%), and the pooled mean WMH volume was 2576.4 mm³ (95% CI, 2391.4–2761.4). In univariate meta-regression, age (β = 356.1; 95% CI, 125.5–586.2; P = .002) and diabetes (β = 652.4; 95% CI, 370.5–934.3; P < .001) were associated with greater WMH burden; in multivariate analysis, only diabetes remained significant (β = 442.0; 95% CI, 98.7–785.3; P = .01). CRP was not significantly associated with WMH volume. LIMITATIONS: The overall certainty of evidence was low and between-study heterogeneity was high. CONCLUSIONS: Diabetes and aging may be associated with higher WMH burden, whereas CRP showed no significant association. ABBREVIATIONS: CI – Confidence Interval CRP – C-reactive protein MRI – Magnetic Resonance Imaging WMH – White Matter Hyperintensities
DOI: 10.3174/ajnr.a9163
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7123545447