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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
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 ra...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382318/ https://www.ncbi.nlm.nih.gov/pubmed/36966195 http://dx.doi.org/10.1038/s41397-023-00302-1 |
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author | 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 |
author_facet | 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 |
author_sort | He, Qian |
collection | PubMed |
description | 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 (β = −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. |
format | Online Article Text |
id | pubmed-10382318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103823182023-07-30 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 Pharmacogenomics J Article 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 (β = −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. Nature Publishing Group UK 2023-03-25 2023 /pmc/articles/PMC10382318/ /pubmed/36966195 http://dx.doi.org/10.1038/s41397-023-00302-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data |
title | Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data |
title_full | Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data |
title_fullStr | Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data |
title_full_unstemmed | Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data |
title_short | Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data |
title_sort | non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a mendelian randomisation study integrating gwas, eqtl and mqtl data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382318/ https://www.ncbi.nlm.nih.gov/pubmed/36966195 http://dx.doi.org/10.1038/s41397-023-00302-1 |
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