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Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension

BACKGROUND: Observational studies demonstrated a bidirectional association between type 2 diabetes (T2D) and hypertension, whereas Mendelian randomization (MR) analyses supported the causality from T2D to hypertension but not causal from hypertension to T2D. We previously found that IgG N-glycosylat...

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Autores principales: Wang, Haotian, Li, Yuan, Cao, Weijie, Zhang, Jie, Cao, Mingyang, Meng, Xiaoni, Liu, Di, Wang, Youxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127371/
https://www.ncbi.nlm.nih.gov/pubmed/37095539
http://dx.doi.org/10.1186/s13098-023-01053-6
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author Wang, Haotian
Li, Yuan
Cao, Weijie
Zhang, Jie
Cao, Mingyang
Meng, Xiaoni
Liu, Di
Wang, Youxin
author_facet Wang, Haotian
Li, Yuan
Cao, Weijie
Zhang, Jie
Cao, Mingyang
Meng, Xiaoni
Liu, Di
Wang, Youxin
author_sort Wang, Haotian
collection PubMed
description BACKGROUND: Observational studies demonstrated a bidirectional association between type 2 diabetes (T2D) and hypertension, whereas Mendelian randomization (MR) analyses supported the causality from T2D to hypertension but not causal from hypertension to T2D. We previously found that IgG N-glycosylation is associated with both T2D and hypertension, and thus IgG N-glycosylation might link the causality between them. METHODS: We carried out a genome-wide association study (GWAS) to identify IgG N-glycosylation-quantitative-trait loci (QTLs) integrating GWAS for T2D and hypertension and then performed bidirectional univariable and multivariable MR analyses to infer the causal association among them. The inverse-variance-weighted (IVW) analysis was performed as the primary analysis, followed by some sensitivity analyses to explore the stability of the results. RESULTS: Six putatively causal IgG N-glycans for T2D and four for hypertension were identified in the IVW method. Genetically predicted T2D increased the risk of hypertension (odds ratio [OR] = 1.177, 95% confidence interval (95% CI) = 1.037–1.338, P = 0.012) and vice versa (OR = 1.391, 95% CI = 1.081–1.790, P = 0.010). Multivariable MR showed that T2D remained at risk effect with hypertension ([OR] = 1.229, 95% CI = 1.140–1.325, P = 7.817 × 10(–8)) after conditioning on T2D-related IgG-glycans. Conversely, hypertension was associated with higher T2D risk (OR = 1.287, 95% CI = 1.107–1.497, P = 0.001) after adjusting for related IgG-glycans. No evidence of horizontal pleiotropy was observed, as MR‒Egger regression provided P values for intercept > 0.05. CONCLUSION: Our study validated the mutual causality between T2D and hypertension from the perspective of IgG N-glycosylation, further validating the “common soil” hypothesis underlying the pathogenesis of T2D and hypertension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01053-6.
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spelling pubmed-101273712023-04-26 Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension Wang, Haotian Li, Yuan Cao, Weijie Zhang, Jie Cao, Mingyang Meng, Xiaoni Liu, Di Wang, Youxin Diabetol Metab Syndr Research BACKGROUND: Observational studies demonstrated a bidirectional association between type 2 diabetes (T2D) and hypertension, whereas Mendelian randomization (MR) analyses supported the causality from T2D to hypertension but not causal from hypertension to T2D. We previously found that IgG N-glycosylation is associated with both T2D and hypertension, and thus IgG N-glycosylation might link the causality between them. METHODS: We carried out a genome-wide association study (GWAS) to identify IgG N-glycosylation-quantitative-trait loci (QTLs) integrating GWAS for T2D and hypertension and then performed bidirectional univariable and multivariable MR analyses to infer the causal association among them. The inverse-variance-weighted (IVW) analysis was performed as the primary analysis, followed by some sensitivity analyses to explore the stability of the results. RESULTS: Six putatively causal IgG N-glycans for T2D and four for hypertension were identified in the IVW method. Genetically predicted T2D increased the risk of hypertension (odds ratio [OR] = 1.177, 95% confidence interval (95% CI) = 1.037–1.338, P = 0.012) and vice versa (OR = 1.391, 95% CI = 1.081–1.790, P = 0.010). Multivariable MR showed that T2D remained at risk effect with hypertension ([OR] = 1.229, 95% CI = 1.140–1.325, P = 7.817 × 10(–8)) after conditioning on T2D-related IgG-glycans. Conversely, hypertension was associated with higher T2D risk (OR = 1.287, 95% CI = 1.107–1.497, P = 0.001) after adjusting for related IgG-glycans. No evidence of horizontal pleiotropy was observed, as MR‒Egger regression provided P values for intercept > 0.05. CONCLUSION: Our study validated the mutual causality between T2D and hypertension from the perspective of IgG N-glycosylation, further validating the “common soil” hypothesis underlying the pathogenesis of T2D and hypertension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01053-6. BioMed Central 2023-04-25 /pmc/articles/PMC10127371/ /pubmed/37095539 http://dx.doi.org/10.1186/s13098-023-01053-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Wang, Haotian
Li, Yuan
Cao, Weijie
Zhang, Jie
Cao, Mingyang
Meng, Xiaoni
Liu, Di
Wang, Youxin
Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension
title Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension
title_full Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension
title_fullStr Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension
title_full_unstemmed Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension
title_short Leveraging IgG N-glycosylation to infer the causality between T2D and hypertension
title_sort leveraging igg n-glycosylation to infer the causality between t2d and hypertension
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127371/
https://www.ncbi.nlm.nih.gov/pubmed/37095539
http://dx.doi.org/10.1186/s13098-023-01053-6
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