Unraveling the Link Between Inflammatory Biomarkers and Delirium

Published on August 15, 2023

Think of your body as a bustling city with different neighborhoods. In this study, scientists zoomed in on a particular neighborhood called ‘inflammatory biomarkers’ and examined its relationship with another neighborhood called ‘delirium.’ Using a fancy technique called Mendelian randomization (MR), they analyzed genetic instruments associated with various inflammatory biomarkers and their impact on the risk of developing delirium. So, what did they find? Well, they discovered that one specific inflammatory biomarker called sIL-6Rα was associated with a decreased risk of delirium. However, this finding wasn’t significant when a less stringent threshold was applied. Interestingly, they found no evidence to support a causal relationship between other inflammatory biomarkers like TNF-α or IL-1β and delirium. It’s clear that more research is needed to fully understand how these inflammatory factors contribute to the development of delirium in our vibrant city of the human body!

BackgroundThe association between inflammatory biomarkers and individual delirium symptoms remains controversial in observational studies. We investigated the relationship between inflammatory biomarkers and the risk of developing delirium.MethodsA bidirectional two-sample Mendelian randomization (MR) was performed. Genetic instruments associated with peripheral tumor necrosis factor-a (TNF-a) C-reactive protein (CRP), interleukin (IL)-1α, IL-1β, IL-2, IL-8, IL-6, soluble IL-6 receptor alpha (sIL-6Rα), and soluble gp130 were identified in three different large summary genome-wide association studies (GWAS) conducted in the European population. Summary-level statistics for delirium not induced by alcohol and other psychoactive substances were obtained from the FinnGen consortium (2,612 cases and 325,306 controls). The estimated causal effects were performed using instruments’ variants at the genome-wide significant level (P < 5e-8 and P < 5e-6), applying a linkage disequilibrium clumping approach with a threshold of r2 < 0.001 for each of the exposures. Reverse causation was also performed. The inverse-variance weighted method (IVW), MR-Egger method, weighted median method, MR-Egger regression, and MR Pleiotropy RESidual Sum were used for MR analyses.ResultsAt the genome-wide significant level (P < 5e-8, r2 < 0.001), genetically predicted sIL-6Rα was significantly associated with a decreased risk of delirium with less than three single-nucleotide polymorphisms (SNPs) in all three GWAS data sources (ORWaldratio = 0.89, 95% CI: 0.79–0.96, PWaldratio = 0.0016; ORIVW = 0.88, 95% CI: 0.79–0.97, PIVW = 0.008; ORIVW = 0.88, 95% CI: 0.80–0.96, PIVW = 0.004). The causal relationship between sIL-6Rα and delirium became non-significant when a more liberal threshold of P of < 5e-6 was applied (all PIVW > 0.05). At the two genome-wide significance levels (P < 5e-8 and P < 5e-6), we found no evidence for the causal effects of peripheral TNF-α, CRP, IL-1α, IL-1β, IL-2, IL-6, IL-8, and soluble gp130 on delirium (all P > 0.05). The MR-Egger intercept and MR-PRESSO results indicated that no SNP had possible pleiotropy (all P > 0.05). Regarding the reverse, no evidence for an effect of delirium on these inflammatory biomarkers could be found (all P > 0.05).ConclusionThe results of this MR analysis did not support that peripheral TNF-α, CRP, IL-1α, IL-1β, IL-2, IL-6, sIL-6Rα, soluble gp130, and IL-8 were causally associated with delirium. More research is needed to explore the role of inflammatory factors in the pathogenesis of delirium.

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