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Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction

Disorders of gut-brain interaction (DGBIs), formerly known as functional gastrointestinal disorders, are extremely common and historically difficult to manage. This is largely because their cellular and molecular mechanisms have remained poorly understood and understudied. One approach to unravel th...

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Autores principales: Majd, Alireza, Richter, Mikayla N, Samuel, Ryan M, Cesiulis, Andrius, Ghazizadeh, Zaniar, Wang, Jeffrey, Fattahi, Faranak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275016/
https://www.ncbi.nlm.nih.gov/pubmed/37333423
http://dx.doi.org/10.1101/2023.06.02.23290906
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author Majd, Alireza
Richter, Mikayla N
Samuel, Ryan M
Cesiulis, Andrius
Ghazizadeh, Zaniar
Wang, Jeffrey
Fattahi, Faranak
author_facet Majd, Alireza
Richter, Mikayla N
Samuel, Ryan M
Cesiulis, Andrius
Ghazizadeh, Zaniar
Wang, Jeffrey
Fattahi, Faranak
author_sort Majd, Alireza
collection PubMed
description Disorders of gut-brain interaction (DGBIs), formerly known as functional gastrointestinal disorders, are extremely common and historically difficult to manage. This is largely because their cellular and molecular mechanisms have remained poorly understood and understudied. One approach to unravel the molecular underpinnings of complex disorders such as DGBIs is performing genome wide association studies (GWASs). However, due to the heterogenous and non-specific nature of GI symptoms, it has been difficult to accurately classify cases and controls. Thus, to perform reliable studies, we need to access large patient populations which has been difficult to date. Here, we leveraged the UK Biobank (UKBB) database, containing genetic and medical record data of over half a million individuals, to perform GWAS for five DGBI categories: functional chest pain, functional diarrhea, functional dyspepsia, functional dysphagia, and functional fecal incontinence. By applying strict inclusion and exclusion criteria, we resolved patient populations and identified genes significantly associated with each condition. Leveraging multiple human single-cell RNA-sequencing datasets, we found that the disease associated genes were highly expressed in enteric neurons, which innervate and control GI functions. Further expression and association testing-based analyses revealed specific enteric neuron subtypes consistently linked with each DGBI. Furthermore, protein-protein interaction analysis of each of the disease associated genes revealed protein networks specific to each DGBI, including hedgehog signaling for functional chest pain and neuronal function and neurotransmission for functional diarrhea and functional dyspepsia. Finally, through retrospective medical record analysis we found that drugs that inhibit these networks are associated with an increased disease risk, including serine/threonine kinase 32B drugs for functional chest pain, solute carrier organic anion transporter family member 4C1, mitogen-activated protein kinase 6, and dual serine/threonine and tyrosine protein kinase drugs for functional dyspepsia, and serotonin transporter drugs for functional diarrhea. This study presents a robust strategy for uncovering the tissues, cell types, and genes involved in DGBIs, presenting novel predictions of the mechanisms underlying these historically intractable and poorly understood diseases.
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spelling pubmed-102750162023-06-17 Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction Majd, Alireza Richter, Mikayla N Samuel, Ryan M Cesiulis, Andrius Ghazizadeh, Zaniar Wang, Jeffrey Fattahi, Faranak medRxiv Article Disorders of gut-brain interaction (DGBIs), formerly known as functional gastrointestinal disorders, are extremely common and historically difficult to manage. This is largely because their cellular and molecular mechanisms have remained poorly understood and understudied. One approach to unravel the molecular underpinnings of complex disorders such as DGBIs is performing genome wide association studies (GWASs). However, due to the heterogenous and non-specific nature of GI symptoms, it has been difficult to accurately classify cases and controls. Thus, to perform reliable studies, we need to access large patient populations which has been difficult to date. Here, we leveraged the UK Biobank (UKBB) database, containing genetic and medical record data of over half a million individuals, to perform GWAS for five DGBI categories: functional chest pain, functional diarrhea, functional dyspepsia, functional dysphagia, and functional fecal incontinence. By applying strict inclusion and exclusion criteria, we resolved patient populations and identified genes significantly associated with each condition. Leveraging multiple human single-cell RNA-sequencing datasets, we found that the disease associated genes were highly expressed in enteric neurons, which innervate and control GI functions. Further expression and association testing-based analyses revealed specific enteric neuron subtypes consistently linked with each DGBI. Furthermore, protein-protein interaction analysis of each of the disease associated genes revealed protein networks specific to each DGBI, including hedgehog signaling for functional chest pain and neuronal function and neurotransmission for functional diarrhea and functional dyspepsia. Finally, through retrospective medical record analysis we found that drugs that inhibit these networks are associated with an increased disease risk, including serine/threonine kinase 32B drugs for functional chest pain, solute carrier organic anion transporter family member 4C1, mitogen-activated protein kinase 6, and dual serine/threonine and tyrosine protein kinase drugs for functional dyspepsia, and serotonin transporter drugs for functional diarrhea. This study presents a robust strategy for uncovering the tissues, cell types, and genes involved in DGBIs, presenting novel predictions of the mechanisms underlying these historically intractable and poorly understood diseases. Cold Spring Harbor Laboratory 2023-06-05 /pmc/articles/PMC10275016/ /pubmed/37333423 http://dx.doi.org/10.1101/2023.06.02.23290906 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Majd, Alireza
Richter, Mikayla N
Samuel, Ryan M
Cesiulis, Andrius
Ghazizadeh, Zaniar
Wang, Jeffrey
Fattahi, Faranak
Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
title Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
title_full Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
title_fullStr Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
title_full_unstemmed Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
title_short Combined GWAS and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
title_sort combined gwas and single cell transcriptomics uncover the underlying genes and cell types in disorders of gut-brain interaction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275016/
https://www.ncbi.nlm.nih.gov/pubmed/37333423
http://dx.doi.org/10.1101/2023.06.02.23290906
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