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• W4387309318 abstract "Abstract Previous observational inquiries have revealed a correlation between depression and infectious maladies. This study endeavors to scrutinize the causal linkages between depression and infectious diseases. Nonetheless, the causative nature of the association between Major Depressive Disorder (MDD) and infectious diseases remains enigmatic. Two-sample Mendelian Randomization (MR) analysis was executed utilizing single nucleotide polymorphisms (SNPs) significantly connected with MDD and infectious diseases as instrumental variables (IVs). A series of sensitivity analyses were subsequently conducted. Genetic variants linked to MDD were employed as instrumental variables sourced from a genome-wide meta-analysis comprising 500,199 individuals. Summary-level data on five infectious diseases, including candidiasis, pneumonia, skin and soft tissue infections (SSTI), upper respiratory tract infections (URTI), and urinary tract infections (UTI), were acquired from the UK Biobank and FinnGen study. Our findings evinced that genetically predicted MDD exhibited a heightened risk of candidiasis (OR = 1.52, 95% CI 1.06–2.17; P = 2.38E-02), pneumonia (OR = 1.14, 95% CI 1.01–1.29; P = 3.16E-02), URTI (OR = 1.23, 95% CI 1.12–1.36; P = 3.71E-05), and UTI (OR = 1.26, 95% CI 1.12–1.42; P = 8.90E-05). Additionally, we identified bidirectional causal relationships between UTI and MDD. The associations between MDD and the risk of URTI and UTI remained consistent in multivariable MR analysis, accounting for genetically predicted smoking and body mass index. In conclusion, this investigation ascertained a causal connection between MDD and the susceptibility to infectious diseases, particularly URTI and UTI." @default.
• W4387309318 created "2023-10-04" @default.
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• W4387309318 date "2023-10-03" @default.
• W4387309318 modified "2023-10-05" @default.
• W4387309318 title "Depression and risk of infectious diseases: A mendelian randomization study" @default.
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• W4387309318 doi "https://doi.org/10.21203/rs.3.rs-3203717/v1" @default.
• W4387309318 hasPublicationYear "2023" @default.
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