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Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus
AIM: To explore the genetic effects of CYP2C8, CYP2C9, CYP2J2, and EPHX2, the key genes involved in epoxyeicosatrienoic acid processing and degradation pathways in gestational diabetes mellitus (GDM) and metabolic traits in Chinese pregnant women. METHODS: A total of 2548 unrelated pregnant women we...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303330/ https://www.ncbi.nlm.nih.gov/pubmed/37370090 http://dx.doi.org/10.1186/s12937-023-00862-9 |
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author | Lai, Siyu Yan, Dandan Xu, Jie Yu, Xiangtian Guo, Jingyi Fang, Xiangnan Tang, Mengyang Zhang, Rong Zhang, Hong Jia, Weiping Luo, Mingjuan Hu, Cheng |
author_facet | Lai, Siyu Yan, Dandan Xu, Jie Yu, Xiangtian Guo, Jingyi Fang, Xiangnan Tang, Mengyang Zhang, Rong Zhang, Hong Jia, Weiping Luo, Mingjuan Hu, Cheng |
author_sort | Lai, Siyu |
collection | PubMed |
description | AIM: To explore the genetic effects of CYP2C8, CYP2C9, CYP2J2, and EPHX2, the key genes involved in epoxyeicosatrienoic acid processing and degradation pathways in gestational diabetes mellitus (GDM) and metabolic traits in Chinese pregnant women. METHODS: A total of 2548 unrelated pregnant women were included, of which 938 had GDM and 1610 were considered as controls. Common variants were genotyped using the Infinium Asian Screening Array. Association studies of single nucleotide polymorphisms (SNPs) with GDM and related traits were performed using logistic regression and multivariable linear regression analyses. A genetic risk score (GRS) model based on 12 independent target SNPs associated with GDM was constructed. Logistic regression was used to estimate odds ratios and 95% confidence intervals, adjusting for potential confounders including age, pre-pregnancy body mass index, history of polycystic ovarian syndrome, history of GDM, and family history of diabetes, with GRS entered both as a continuous variable and categorized groups. The relationship between GRS and quantitative traits was also evaluated. RESULTS: The 12 SNPs in CYP2C8, CYP2C9, CYP2J2, and EPHX2 were significantly associated with GDM after adjusting for covariates (all P < 0.05). The GRS generated from these SNPs significantly correlated with GDM. Furthermore, a significant interaction between CYP2J2 and CYP2C8 in GDM (P(Interaction) = 0.014, OR(Interaction)= 0.61, 95%CI 0.41–0.90) was observed. CONCLUSION: We found significant associations between GDM susceptibility and 12 SNPs of the four genes involved in epoxyeicosatrienoic acid processing and degradation pathways in a Chinese population. Subjects with a higher GRS showed higher GDM susceptibility with higher fasting plasma glucose and area under the curve of glucose and poorer β-cell function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12937-023-00862-9. |
format | Online Article Text |
id | pubmed-10303330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103033302023-06-29 Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus Lai, Siyu Yan, Dandan Xu, Jie Yu, Xiangtian Guo, Jingyi Fang, Xiangnan Tang, Mengyang Zhang, Rong Zhang, Hong Jia, Weiping Luo, Mingjuan Hu, Cheng Nutr J Research AIM: To explore the genetic effects of CYP2C8, CYP2C9, CYP2J2, and EPHX2, the key genes involved in epoxyeicosatrienoic acid processing and degradation pathways in gestational diabetes mellitus (GDM) and metabolic traits in Chinese pregnant women. METHODS: A total of 2548 unrelated pregnant women were included, of which 938 had GDM and 1610 were considered as controls. Common variants were genotyped using the Infinium Asian Screening Array. Association studies of single nucleotide polymorphisms (SNPs) with GDM and related traits were performed using logistic regression and multivariable linear regression analyses. A genetic risk score (GRS) model based on 12 independent target SNPs associated with GDM was constructed. Logistic regression was used to estimate odds ratios and 95% confidence intervals, adjusting for potential confounders including age, pre-pregnancy body mass index, history of polycystic ovarian syndrome, history of GDM, and family history of diabetes, with GRS entered both as a continuous variable and categorized groups. The relationship between GRS and quantitative traits was also evaluated. RESULTS: The 12 SNPs in CYP2C8, CYP2C9, CYP2J2, and EPHX2 were significantly associated with GDM after adjusting for covariates (all P < 0.05). The GRS generated from these SNPs significantly correlated with GDM. Furthermore, a significant interaction between CYP2J2 and CYP2C8 in GDM (P(Interaction) = 0.014, OR(Interaction)= 0.61, 95%CI 0.41–0.90) was observed. CONCLUSION: We found significant associations between GDM susceptibility and 12 SNPs of the four genes involved in epoxyeicosatrienoic acid processing and degradation pathways in a Chinese population. Subjects with a higher GRS showed higher GDM susceptibility with higher fasting plasma glucose and area under the curve of glucose and poorer β-cell function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12937-023-00862-9. BioMed Central 2023-06-28 /pmc/articles/PMC10303330/ /pubmed/37370090 http://dx.doi.org/10.1186/s12937-023-00862-9 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lai, Siyu Yan, Dandan Xu, Jie Yu, Xiangtian Guo, Jingyi Fang, Xiangnan Tang, Mengyang Zhang, Rong Zhang, Hong Jia, Weiping Luo, Mingjuan Hu, Cheng Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
title | Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
title_full | Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
title_fullStr | Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
title_full_unstemmed | Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
title_short | Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
title_sort | genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303330/ https://www.ncbi.nlm.nih.gov/pubmed/37370090 http://dx.doi.org/10.1186/s12937-023-00862-9 |
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