Evidence map›Paper›PMID 37333423›Full record

ArticlemedRxiv : the preprint server for health sciences2023

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

Alireza Majd, Mikayla N Richter, Ryan M Samuel, Andrius Cesiulis, Zaniar Ghazizadeh, Jeffrey Wang, Faranak Fattahi

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Alireza MajdDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
Mikayla N RichterDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
Ryan M SamuelDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
Andrius CesiulisDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
Zaniar GhazizadehDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Jeffrey WangDepartment of Biochemistry and Biophysics, University of California, San Francisco, California, USA.
Faranak FattahiDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
University of California, San Francisco · USStanford University · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
PREDOCTORAL TRAINING IN DEVELOPMENTAL BIOLOGYT32HD007470 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Todd Nystul · 1994 to 2026
$7.7M
Modeling Neurodegenerative Disease Manifestations in Human Enteric NeuronsDP2NS116769 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FATTAHI, FARANAK · 2019 to 2019
$2.4M
Human pluripotent stem cells for the study of gastrointestinal dysmotilityR01DK121169 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FATTAHI, FARANAK · 2020 to 2024
$1.8M
NCATS NIH HHS UL1 TR001872NICHD NIH HHS T32 HD007470NIDDK NIH HHS R01 DK121169NINDS NIH HHS DP2 NS116769
6 · The paper itself

Abstract

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.

Identifiers

PMID37333423
PMCPMC10275016
OpenAlexW4379377829

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.