Cargando…
Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk
BACKGROUND: There is very limited evidence on the causal effects of blood metabolites on pancreatitis risks. To reveal the causal associations between plasma metabolites and pancreatitis risks, we performed two-sample Mendelian randomization (MR) and Bayesian model averaging (MR-BMA) analyses in Eur...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589364/ https://www.ncbi.nlm.nih.gov/pubmed/36299997 http://dx.doi.org/10.3389/fnut.2022.1021942 |
_version_ | 1784814288609738752 |
---|---|
author | Mi, Jiarui Liu, Zhengye Jiang, Lingjuan Li, Meizi Wu, Xia Zhao, Nan Wan, Ziqi Bai, Xiaoyin Feng, Yunlu |
author_facet | Mi, Jiarui Liu, Zhengye Jiang, Lingjuan Li, Meizi Wu, Xia Zhao, Nan Wan, Ziqi Bai, Xiaoyin Feng, Yunlu |
author_sort | Mi, Jiarui |
collection | PubMed |
description | BACKGROUND: There is very limited evidence on the causal effects of blood metabolites on pancreatitis risks. To reveal the causal associations between plasma metabolites and pancreatitis risks, we performed two-sample Mendelian randomization (MR) and Bayesian model averaging (MR-BMA) analyses in European ancestry. METHODS: The summary-level statistics from two genome-wide association studies with 249 and 123 metabolic traits derived from two separate cohorts involving ~115,000 (UK Biobank) and ~25,000 individuals from European ancestry were used for the analyses. The summary statistics of four pancreatitis datasets from FinnGen R5 and two pancreatitis datasets from UK Biobank were exploited as the outcome. We first performed univariable MR analysis with different metabolic GWAS data on multiple pancreatitis datasets to demonstrate the association pattern among different metabolites categories. Next, we exploited the MR-BMA method to pinpoint the dominating factors on the increased risk of pancreatitis. RESULTS: In the primary analysis with 249 traits, we found that plasma triglycerides were positively associated with pancreatitis risk. Intriguingly, a large number of traits associated with saturation or unsaturation of fatty acids also demonstrated causal associations. The replication study analyzing 123 metabolic traits suggested that bisallylic groups levels and omega-3 fatty acids were inversely correlated with pancreatitis risk. MR-BMA analyses indicated that the ratio of triglycerides to total lipid in various HDL particles played leading roles in pancreatitis susceptibility. In addition, the degree of unsaturation, the ratio of polyunsaturated fatty acids to monounsaturated fatty acids and the level of monounsaturated fatty acids showed causal associations with either decreased or increased pancreatitis susceptibility. CONCLUSIONS: Our MR study provided an atlas of causal associations of genetically predicted blood metabolites on pancreatitis, and offered genetic insights showing intervention in triglycerides and the supplementation of unsaturated fatty acids are potential strategies in the primary prevention of pancreatitis. |
format | Online Article Text |
id | pubmed-9589364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95893642022-10-25 Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk Mi, Jiarui Liu, Zhengye Jiang, Lingjuan Li, Meizi Wu, Xia Zhao, Nan Wan, Ziqi Bai, Xiaoyin Feng, Yunlu Front Nutr Nutrition BACKGROUND: There is very limited evidence on the causal effects of blood metabolites on pancreatitis risks. To reveal the causal associations between plasma metabolites and pancreatitis risks, we performed two-sample Mendelian randomization (MR) and Bayesian model averaging (MR-BMA) analyses in European ancestry. METHODS: The summary-level statistics from two genome-wide association studies with 249 and 123 metabolic traits derived from two separate cohorts involving ~115,000 (UK Biobank) and ~25,000 individuals from European ancestry were used for the analyses. The summary statistics of four pancreatitis datasets from FinnGen R5 and two pancreatitis datasets from UK Biobank were exploited as the outcome. We first performed univariable MR analysis with different metabolic GWAS data on multiple pancreatitis datasets to demonstrate the association pattern among different metabolites categories. Next, we exploited the MR-BMA method to pinpoint the dominating factors on the increased risk of pancreatitis. RESULTS: In the primary analysis with 249 traits, we found that plasma triglycerides were positively associated with pancreatitis risk. Intriguingly, a large number of traits associated with saturation or unsaturation of fatty acids also demonstrated causal associations. The replication study analyzing 123 metabolic traits suggested that bisallylic groups levels and omega-3 fatty acids were inversely correlated with pancreatitis risk. MR-BMA analyses indicated that the ratio of triglycerides to total lipid in various HDL particles played leading roles in pancreatitis susceptibility. In addition, the degree of unsaturation, the ratio of polyunsaturated fatty acids to monounsaturated fatty acids and the level of monounsaturated fatty acids showed causal associations with either decreased or increased pancreatitis susceptibility. CONCLUSIONS: Our MR study provided an atlas of causal associations of genetically predicted blood metabolites on pancreatitis, and offered genetic insights showing intervention in triglycerides and the supplementation of unsaturated fatty acids are potential strategies in the primary prevention of pancreatitis. Frontiers Media S.A. 2022-10-10 /pmc/articles/PMC9589364/ /pubmed/36299997 http://dx.doi.org/10.3389/fnut.2022.1021942 Text en Copyright © 2022 Mi, Liu, Jiang, Li, Wu, Zhao, Wan, Bai and Feng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Mi, Jiarui Liu, Zhengye Jiang, Lingjuan Li, Meizi Wu, Xia Zhao, Nan Wan, Ziqi Bai, Xiaoyin Feng, Yunlu Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
title | Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
title_full | Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
title_fullStr | Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
title_full_unstemmed | Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
title_short | Mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
title_sort | mendelian randomization in blood metabolites identifies triglycerides and fatty acids saturation level as associated traits linked to pancreatitis risk |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589364/ https://www.ncbi.nlm.nih.gov/pubmed/36299997 http://dx.doi.org/10.3389/fnut.2022.1021942 |
work_keys_str_mv | AT mijiarui mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT liuzhengye mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT jianglingjuan mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT limeizi mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT wuxia mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT zhaonan mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT wanziqi mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT baixiaoyin mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk AT fengyunlu mendelianrandomizationinbloodmetabolitesidentifiestriglyceridesandfattyacidssaturationlevelasassociatedtraitslinkedtopancreatitisrisk |