European Journal of Neurology · 2023 · 13 citations · 29 references
Life SciencesGeneticsImmunologyGenetic EpidemiologyInflammationNeuroimmunologyCytokine BiologyGenome-wide Association StudiesGenotype-phenotype CorrelationInflammatory BiomarkersInflammatory SignalingStrokeBidirectional Mendelian RandomizationGenetic Association AnalysisGenetic Biomarkers Of InflammationInflammation-related Gene ExpressionInflammatory Mediator PolymorphismsInverse Variance Weighted EstimationInverse Variance WeightingProinflammatory Cytokine Variants
OBJECTIVES: Previous observational studies have indicated correlations between various inflammatory cytokines and functional outcomes following ischemic stroke (IS); however, the causality remains unclear. We aimed to further evaluate the causal association between 41 circulating inflammatory cytokines and functional outcomes following IS. METHODS: Two-sample bidirectional Mendelian randomization (MR) analysis was used in this study. The genetic variation of 41 circulating inflammatory cytokines were derived from genome-wide association study (GWAS) data of European ancestry (n = 8293). The corresponding genetic association of functional outcomes following IS were derived from European ancestry GWAS data (n = 6021). RESULTS: Inverse variance weighted (IVW) analysis showed that genetically predicted increased levels of regulation and activation in normal T-cell expression and secretion factor (RANTES/CCL5) and eosinophilic chemotactic factor (EOTAXIN/CCL11) were positively correlated with the increased adverse functional outcomes (modified Rankin Scale [mRS≥3] following IS (OR: 1.40, 95% CI: 1.002-1.96, p = 0.049; OR: 1.33, 95% CI: 1.15-1.54, p = 0.0001). Interleukin 18 (IL-18) level might be the downstream consequence of adverse functional outcomes following IS (β: -0.09, p = 0.039). Other inflammatory cytokines and functional outcomes following IS did not appear to be causally related. CONCLUSIONS: This study suggests a causality between inflammation and adverse functional outcomes following IS. RANTES (CCL5) and EOTAXIN (CCL11) may be the upstream factors of adverse functional outcomes following IS, while IL-18 may be the downstream effect of adverse functional outcomes following IS. Whether these cytokines can be used to predict or improve adverse functional outcomes after IS requires further researches.
29
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations
Mihir Kamat, James Blackshaw, Robin Young et al. · Bioinformatics · 2019 · 2.4K citations · Full text
Activation of Dual T Cell Signaling Pathways by the Chemokine RANTES
Kevin B. Bacon, Brett A. Premack, Phyllis Gardner et al. · Science · 1995 · 457 citations