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Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data.
He, Qian; Wu, Kevin Chun Hei; Bennett, Adam N; Fan, Beifang; Liu, Jundong; Huang, Ruixuan; Kong, Alice P S; Tian, Xiaoyu; Kwok, Man Ki Maggie; Chan, Kei Hang Katie.
Afiliação
  • He Q; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Wu KCH; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Bennett AN; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Fan B; Department of Mental Health, Shenzhen Nanshan Centre for Chronic Disease Control, Shenzhen, China.
  • Liu J; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Huang R; Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
  • Kong APS; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Tian X; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Kwok MKM; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Chan KHK; School of Biomedical Sciences and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China.
Pharmacogenomics J ; 23(4): 95-104, 2023 07.
Article em En | MEDLINE | ID: mdl-36966195
ABSTRACT
Previous observational studies reported associations between non-steroidal anti-inflammatory drugs (NSAIDs) and major depressive disorder (MDD), however, these associations are often inconsistent and underlying biological mechanisms are still poorly understood. We conducted a two-sample Mendelian randomisation (MR) study to examine relationships between genetic variants and NSAID target gene expression or DNA methylation (DNAm) using publicly available expression, methylation quantitative trait loci (eQTL or mQTL) data and genetic variant-disease associations from genome-wide association studies (GWAS of MDD). We also assessed drug exposure using gene expression and DNAm levels of NSAID targets as proxies. Genetic variants were robustly adjusted for multiple comparisons related to gene expression, DNAm was used as MR instrumental variables and GWAS statistics of MDD as the outcome. A 1-standard deviation (SD) lower expression of NEU1 in blood was related to lower C-reactive protein (CRP) levels of -0.215 mg/L (95% confidence interval (CI) 0.128-0.426) and a decreased risk of MDD (odds ratio [OR] = 0.806; 95% CI 0.735-0.885; p = 5.36 × 10-6). A concordant direction of association was also observed for NEU1 DNAm levels in blood and a risk of MDD (OR = 0.886; 95% CI 0.836-0.939; p = 4.71 × 10-5). Further, the genetic variants associated with MDD were mediated by NEU1 expression via DNAm (ß = -0.519; 95% CI -0.717 to -0.320256; p = 3.16 × 10-7). We did not observe causal relationships between inflammatory genetic marker estimations and MDD risk. Yet, we identified a concordant association of NEU1 messenger RNA and an adverse direction of association of higher NEU1 DNAm with MDD risk. These results warrant increased pharmacovigilance and further in vivo or in vitro studies to investigate NEU1 inhibitors or supplements for MDD.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Pharmacogenomics J Assunto da revista: BIOLOGIA MOLECULAR / FARMACOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Pharmacogenomics J Assunto da revista: BIOLOGIA MOLECULAR / FARMACOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China