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Factors Regulating Murine Tuft cell Hyperplasia in the Small Intestine during Infection with <i>Hymenolepis Diminuta</i>

2020· article· en· W3016665904 on OpenAlexaff
Sruthi Rajeev, Manon Defaye, Adam Shute, Arthur Wang, Susan Wang, Christophe Altier, Derek M. McKay

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTuftBiologyHymenolepis diminutaImmunologyImmune systemHyperplasiaCell biologyAcquired immune systemEndocrinologyHelminthsCestoda

Abstract

fetched live from OpenAlex

Introduction At homeostasis, tuft cells form a rare epithelial cell population in the intestine. During parasitic infections with nematodes, the tuft cell has been shown to mobilize innate lymphoid type 2 cells (ILC2) by releasing the alarmin cytokine IL‐25. Enteric tuft cells possess key elements of the taste receptor pathway and may be luminal sensors of parasitic infections. Hymenolepis diminuta is a rat tapeworm that is rapidly expelled when introduced in immunocompetent murine hosts. During infection with this non‐abrasive, lumen dwelling parasite, immunocompetent mice display dramatic tuft cell hyperplasia across the small intestine. The factors regulating tuft cell response in this cestode model of infection are poorly understood. As observed in the nematode model of infection, we previously showed that tuft cell hyperplasia in response to H. diminuta is dependent on IL‐4 receptor mediated signalling. The influence of the adaptive immune system, which partakes in immunity against H. diminuta , was yet to be understood. Helminth infections are accompanied by alterations in the composition of the microbiota and may contribute to important luminal influences. Finally, it is poorly understood if tuft cell hyperplasia is regulated by changes in the sensory‐motor functions of the gut during helminth infection. Aims To test if mice lacking (1) a functional adaptive immune system, (2) a microbiome, and (3) TRPV1 + gut‐innervating sensory nerves display enteric tuft cell hyperplasia following infection with H. diminuta . Methods RAG‐1 −/− (male and female) and germ‐free mice (n=3–6) were orally gavaged with 5 cysticercoids of H. diminuta . Age matched non‐infected mice served as control groups. Male C57BL/6j mice (n=3–4) were treated with resiniferatoxin (RTX) to ablate TRPV1 + sensory neurons before infection. Mid‐jejunum cryosections (10mm) or paraffin embedded sections (5mm) were immuno‐stained against doublecortin‐like kinase ‐1 (DCLK‐1), a tuft cell marker, at 5, 8, 11 and 14 days post‐infection. Results Wild‐type C57BL/6j mice expel H. diminuta by 11 days post infection and display ~ 10–15 fold increase in tuft cells at this time. In RAG‐1 −/− mice, tuft cell hyperplasia at 11 days post‐infection was observed at a lesser magnitude than wild type mice. Germ‐free mice displayed tuft cell hyperplasia and kinetics of worm expulsion that were not different from wild‐type mice. RTX‐treated mice with confirmed loss of TRPV1 + nerve fibers in the gut and their cell soma in the dorsal root and nodose ganglia, had a greater increase (~2‐fold) in tuft cell numbers compared to the untreated infected wild‐type mice at day 11 post infection. Conclusion In the H. diminuta ‐ mouse model system, we find that tuft cell hyperplasia is largely, but not entirely dependent on adaptive immunity and occurs independent of the gut microbiota. The observation that TRPV1 + sensory nerves appear to contribute to regulation of tuft cell hyperplasia warrants further study on tuft cell‐sensory nerve interactions. Support or Funding Information NSERC, CIHR, Henry Koopman Memorial Entrance Scholarship in Gastrointestinal Nutrition, Metabolism and Inflammation

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.229
Teacher spread0.196 · 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 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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