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Integrating GWAS and proteome data to identify novel drug targets for MU

Mouth ulcers have been associated with numerous loci in genome wide association studies (GWAS). Nonetheless, it remains unclear what mechanisms are involved in the pathogenesis of mouth ulcers at these loci, as well as what the most effective ulcer drugs are. Thus, we aimed to screen hub genes respo...

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Autores principales: Wu, Yadong, Song, Jukun, Liu, Manyi, Ma, Hong, Zhang, Junmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299993/
https://www.ncbi.nlm.nih.gov/pubmed/37369724
http://dx.doi.org/10.1038/s41598-023-37177-y
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author Wu, Yadong
Song, Jukun
Liu, Manyi
Ma, Hong
Zhang, Junmei
author_facet Wu, Yadong
Song, Jukun
Liu, Manyi
Ma, Hong
Zhang, Junmei
author_sort Wu, Yadong
collection PubMed
description Mouth ulcers have been associated with numerous loci in genome wide association studies (GWAS). Nonetheless, it remains unclear what mechanisms are involved in the pathogenesis of mouth ulcers at these loci, as well as what the most effective ulcer drugs are. Thus, we aimed to screen hub genes responsible for mouth ulcer pathogenesis. We conducted an imputed/in-silico proteome-wide association study to discover candidate genes that impact the development of mouth ulcers and affect the expression and concentration of associated proteins in the bloodstream. The integrative analysis revealed that 35 genes play a significant role in the development of mouth ulcers, both in terms of their protein and transcriptional levels. Following this analysis, the researchers identified 6 key genes, namely BTN3A3, IL12B, BPI, FAM213A, PLXNB2, and IL22RA2, which were related to the onset of mouth ulcers. By combining with multidimensional data, six genes were found to correlate with mouth ulcer pathogenesis, which can be useful for further biological and therapeutic research.
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spelling pubmed-102999932023-06-29 Integrating GWAS and proteome data to identify novel drug targets for MU Wu, Yadong Song, Jukun Liu, Manyi Ma, Hong Zhang, Junmei Sci Rep Article Mouth ulcers have been associated with numerous loci in genome wide association studies (GWAS). Nonetheless, it remains unclear what mechanisms are involved in the pathogenesis of mouth ulcers at these loci, as well as what the most effective ulcer drugs are. Thus, we aimed to screen hub genes responsible for mouth ulcer pathogenesis. We conducted an imputed/in-silico proteome-wide association study to discover candidate genes that impact the development of mouth ulcers and affect the expression and concentration of associated proteins in the bloodstream. The integrative analysis revealed that 35 genes play a significant role in the development of mouth ulcers, both in terms of their protein and transcriptional levels. Following this analysis, the researchers identified 6 key genes, namely BTN3A3, IL12B, BPI, FAM213A, PLXNB2, and IL22RA2, which were related to the onset of mouth ulcers. By combining with multidimensional data, six genes were found to correlate with mouth ulcer pathogenesis, which can be useful for further biological and therapeutic research. Nature Publishing Group UK 2023-06-27 /pmc/articles/PMC10299993/ /pubmed/37369724 http://dx.doi.org/10.1038/s41598-023-37177-y 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/) .
spellingShingle Article
Wu, Yadong
Song, Jukun
Liu, Manyi
Ma, Hong
Zhang, Junmei
Integrating GWAS and proteome data to identify novel drug targets for MU
title Integrating GWAS and proteome data to identify novel drug targets for MU
title_full Integrating GWAS and proteome data to identify novel drug targets for MU
title_fullStr Integrating GWAS and proteome data to identify novel drug targets for MU
title_full_unstemmed Integrating GWAS and proteome data to identify novel drug targets for MU
title_short Integrating GWAS and proteome data to identify novel drug targets for MU
title_sort integrating gwas and proteome data to identify novel drug targets for mu
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299993/
https://www.ncbi.nlm.nih.gov/pubmed/37369724
http://dx.doi.org/10.1038/s41598-023-37177-y
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