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Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease

BACKGROUND: We aimed to investigate the protein pathways linking obesity and lifestyle factors to coronary artery disease (CAD). METHODS: Summary-level genome-wide association statistics of CAD were obtained from the CARDIoGRAMplusC4D consortium (60,801 cases and 123,504 controls) and the FinnGen st...

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Autores principales: Yang, Fangkun, Xu, Fengzhe, Zhang, Han, Gill, Dipender, Larsson, Susanna C., Li, Xue, Cui, Hanbin, Yuan, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696760/
https://www.ncbi.nlm.nih.gov/pubmed/38049831
http://dx.doi.org/10.1186/s12916-023-03197-8
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author Yang, Fangkun
Xu, Fengzhe
Zhang, Han
Gill, Dipender
Larsson, Susanna C.
Li, Xue
Cui, Hanbin
Yuan, Shuai
author_facet Yang, Fangkun
Xu, Fengzhe
Zhang, Han
Gill, Dipender
Larsson, Susanna C.
Li, Xue
Cui, Hanbin
Yuan, Shuai
author_sort Yang, Fangkun
collection PubMed
description BACKGROUND: We aimed to investigate the protein pathways linking obesity and lifestyle factors to coronary artery disease (CAD). METHODS: Summary-level genome-wide association statistics of CAD were obtained from the CARDIoGRAMplusC4D consortium (60,801 cases and 123,504 controls) and the FinnGen study (R8, 39,036 cases and 303,463 controls). Proteome-wide Mendelian randomization (MR) analysis was conducted to identify CAD-associated blood proteins, supplemented by colocalization analysis to minimize potential bias caused by linkage disequilibrium. Two-sample MR analyses were performed to assess the associations of genetically predicted four obesity measures and 13 lifestyle factors with CAD risk and CAD-associated proteins’ levels. A two-step network MR analysis was conducted to explore the mediating effects of proteins in the associations between these modifiable factors and CAD. RESULTS: Genetically predicted levels of 41 circulating proteins were associated with CAD, and 17 of them were supported by medium to high colocalization evidence. PTK7 (protein tyrosine kinase-7), RGMB (repulsive guidance molecule BMP co-receptor B), TAGLN2 (transgelin-2), TIMP3 (tissue inhibitor of metalloproteinases 3), and VIM (vimentin) were identified as promising therapeutic targets. Several proteins were found to mediate the associations between some modifiable factors and CAD, with PCSK9, C1S, AGER (advanced glycosylation end product-specific receptor), and MST1 (mammalian Ste20-like kinase 1) exhibiting highest frequency among the mediating networks. CONCLUSIONS: This study suggests pathways explaining the associations of obesity and lifestyle factors with CAD from alterations in blood protein levels. These insights may be used to prioritize therapeutic intervention for further study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03197-8.
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spelling pubmed-106967602023-12-06 Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease Yang, Fangkun Xu, Fengzhe Zhang, Han Gill, Dipender Larsson, Susanna C. Li, Xue Cui, Hanbin Yuan, Shuai BMC Med Research Article BACKGROUND: We aimed to investigate the protein pathways linking obesity and lifestyle factors to coronary artery disease (CAD). METHODS: Summary-level genome-wide association statistics of CAD were obtained from the CARDIoGRAMplusC4D consortium (60,801 cases and 123,504 controls) and the FinnGen study (R8, 39,036 cases and 303,463 controls). Proteome-wide Mendelian randomization (MR) analysis was conducted to identify CAD-associated blood proteins, supplemented by colocalization analysis to minimize potential bias caused by linkage disequilibrium. Two-sample MR analyses were performed to assess the associations of genetically predicted four obesity measures and 13 lifestyle factors with CAD risk and CAD-associated proteins’ levels. A two-step network MR analysis was conducted to explore the mediating effects of proteins in the associations between these modifiable factors and CAD. RESULTS: Genetically predicted levels of 41 circulating proteins were associated with CAD, and 17 of them were supported by medium to high colocalization evidence. PTK7 (protein tyrosine kinase-7), RGMB (repulsive guidance molecule BMP co-receptor B), TAGLN2 (transgelin-2), TIMP3 (tissue inhibitor of metalloproteinases 3), and VIM (vimentin) were identified as promising therapeutic targets. Several proteins were found to mediate the associations between some modifiable factors and CAD, with PCSK9, C1S, AGER (advanced glycosylation end product-specific receptor), and MST1 (mammalian Ste20-like kinase 1) exhibiting highest frequency among the mediating networks. CONCLUSIONS: This study suggests pathways explaining the associations of obesity and lifestyle factors with CAD from alterations in blood protein levels. These insights may be used to prioritize therapeutic intervention for further study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03197-8. BioMed Central 2023-12-05 /pmc/articles/PMC10696760/ /pubmed/38049831 http://dx.doi.org/10.1186/s12916-023-03197-8 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 Article
Yang, Fangkun
Xu, Fengzhe
Zhang, Han
Gill, Dipender
Larsson, Susanna C.
Li, Xue
Cui, Hanbin
Yuan, Shuai
Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
title Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
title_full Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
title_fullStr Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
title_full_unstemmed Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
title_short Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
title_sort proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696760/
https://www.ncbi.nlm.nih.gov/pubmed/38049831
http://dx.doi.org/10.1186/s12916-023-03197-8
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