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Record W4407285752 · doi:10.1093/jcag/gwae059.150

A150 THE PARKINSON’S DISEASE-ASSOCIATED MUTATION LRRK2 G2019S INCITES NEUTROPHILIC INFLAMMATION AND INCREASED TISSUE DAMAGE IN A MOUSE MODEL OF INFECTIOUS COLITIS.

2025· article· en· W4407285752 on OpenAlexaff
Nathalia Oliveira, Jessica Pei, Sherilyn Junelle Recinto, Alexandra Kazanova, Celso Martins Queiroz‐Junior, Zhigang Li, Camila Cristina Neves Romanato Ribeiro, Austen J. Milnerwood, Michel Desjardins, Ajitha Thanabalasuriar, Jo Anne Stratton, Samantha Gruenheid

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversité de MontréalMcGill University
Fundersnot available
KeywordsLRRK2InflammationColitisDiseaseParkinson's diseaseImmunologyMutationMedicineBiologyPathologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Background The gut-brain axis is an area of intense interest in Parkinson’s disease (PD) research. PD is characterized by inflammation and gastrointestinal (GI) dysfunction, such as recurrent constipation, dysphagia, and intestinal bacterial overgrowth. GI symptoms in PD appear decades before motor symptoms. Mutations in the protein leucine-rich repeat kinase 2 (LRRK2) are associated with increased risk for PD and inflammatory bowel disease. Among them, the LRRK2 Gly2019Ser is the most common PD-associated mutation. It is unknown whether and how the LRRK2 mutation affects intestinal inflammation susceptibility or pathogenesis of PD. Aims To understand how the LRRK2 mutation affects intestinal inflammation susceptibility or pathogenesis of PD. Methods LRRK2 knock-in G2019S (GKI) and WT mice were infected with the mouse-specific pathogen Citrobacter rodentium and intestinal immune response was evaluated by single cell RNA sequencing (scRNAseq), flow cytometry, and ELISA. Results Results revealed that, at day 7 of infection, GKI mice had increased histopathology in colon after infection, compared to WT mice. The most prominent features were inflammatory infiltrate, edema, erosion, and goblet cells loss, although the control of infection was comparable, since the CFU counts were equal in both infected groups. Multiplex analysis of colon homogenates demonstrated that LRRK2 mutation changed cytokine production in response to the infection, including increase in G-CSF, CCL5, and decrease of IL-6 and CXCL2 levels. Myeloperoxidase ELISA in colon tissue showed a tendency to be higher in GKI mice, after infection, compared to WT mice. Single cell RNA sequencing (scRNAseq) of colonic LP cells demonstrated that after infection, LRRK2 G2019S mutation has a great impact in the number of differentially expressed genes (DEGs) on innate immune cells, such as neutrophils, monocytes, and NK cells. In fact, neutrophil was the only cell type proportionally significant after infection. Their DEGs were mostly upregulated and accounted for cell signalling, inflammatory pathways, myeloid leukocyte migration, and interferon response. In addition, flow cytometry revealed that after C. rodentium infection, GKI mice had increased neutrophil infiltration of colonic lamina propria (LP), compared to WT infected mice. Analysis in CD4 T cells by scRNA sequencing and RT-qPCR showed an increase in IL-17a expression, known for its G-CSF stimulating neutrophil migration effect. Conclusions Our results suggest that the LRRK2 GKI mutation promotes neutrophilic pathology in response to intestinal bacterial infection and this could be linked to an increase of IL-17a-mediated immune response. Funding Agencies Aligning Science Across Parkinson’s: ASAP - Michael Fox Foundation

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.004
GPT teacher head0.202
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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