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Record W4391873482 · doi:10.1093/jcag/gwad061.029

A29 INVESTIGATING THE IMPACT OF PARKINSON’S DISEASE-ASSOCIATED GENES ON INTESTINAL HOMEOSTASIS

2024· article· en· W4391873482 on OpenAlexaff
Jessica Pei, Sherilyn Junelle Recinto, Adam MacDonald, Alexandra Kazanova, C Gavino, Louis‐Éric Trudeau, Michel Desjardins, J. Stratton, Samantha Gruenheid

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsUniversité de MontréalMcGill University
Fundersnot available
KeywordsDiseaseHomeostasisParkinson's diseaseGeneNeuroscienceBiologyMedicineBioinformaticsGeneticsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Intestinal epithelial cells (IECs) provide an essential physical barrier between harsh luminal contents and underlying host tissue. The maintenance of intestinal homeostasis must be intricately regulated through the proliferation and differentiation of intestinal stem cells (ISCs). Dysregulation of this system results in the loss of barrier function, causing pathologies in both intestinal and extra-intestinal diseases. While Parkinson’s Disease (PD) is primarily a neurodegenerative disorder, there is increasing evidence linking PD progression and gastrointestinal (GI) dysfunction. Constipation and increased bowel permeability are often observed years prior to development of motor dysfunction in PD, and people with inflammatory bowel disease are more likely to develop PD. Our group developed a model to investigate the role of the gut in PD, demonstrating that mice with genetic ablation of the PD-associated gene Pink1 exhibited motor phenotypes only when previously infected with Gram-negative Citrobacter rodentium intestinal bacteria. As Pink1 and other PD-associated genes are expressed in IECs, we hypothesize that PD-associated gene mutations directly affect the epithelium and impact early PD pathophysiology. Aims 1. Determine how Pink1 mutation affects the transcriptional profiles in IECs at steady state and in vivo C. rodentium infection. 2. Use colonoid systems to study the effect of Pink1 mutation on epithelial activity. Methods ScRNAseq was performed on IECs isolated from uninfected and infected Pink1 WT and KO mice, sacrificed at day 7 and 14 (early and peak infection) to elucidate transcriptional differences between epithelial lineages of each genotype. Additionally, colonoids were derived from primary mouse tissue and treated with lipopolysaccharide (LPS) to determine how Pink1 KO affects the inflammatory response of the epithelium. Results Our data revealed that Pink1 KO profoundly affected several epithelial lineages. ISCs from infected Pink1 KO mice had dysregulated cell cycle genes, transit amplifying cells showed dysregulated expression of tight junction genes, and enterocytes displayed dysregulation in oxidative damage and apoptotic genes. Preliminary data from colonoids showed that Pink1 KO mice, when stimulated with LPS, had altered pro-inflammatory cytokine gene expression. We are also evaluating colon motility differences between genotypes through transit time assays, counting fecal pellets per hour, and fecal water content. Conclusions In Pink1 KO IECs, there is indeed an altered cellular response upon infection, but more information is needed to decern the mechanistic role of IECs in PD. By investigating the role of PD genes in the GI tract, these studies carry important implications for understanding the initiation and progression of PD. Funding Agencies CIHR

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.260
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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