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P-205 Systemic Detection of Nod-Like Receptor Ligands Upregulates CD103 on Spleen-Resident Dendritic Cells

2014· article· en· W2328980189 on OpenAlexaff
Prescott Dave, Philpott Dana, Girardin Stephen

Bibliographic record

VenueInflammatory Bowel Diseases · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMuramyl dipeptideNOD2SpleenNodNOD miceImmunologyMesenteric lymph nodesDendritic cellT cellCD11cLamina propriaBiologyMedicineImmune systemPathologyEndocrinologyInnate immune systemAutoimmunity

Abstract

fetched live from OpenAlex

Polymorphisms in the gene encoding for the Nod-like receptor NOD2 are well known to increase the risk of developing Crohn's disease. However, the mechanisms by which alterations in NOD2 function lead to intestinal pathology remain poorly understood. One possibility is that NOD2 activation plays a role in the development of immunological tolerance to the intestinal microbiota by a yet to be determined mechanism. CD103+ dendritic cells (DCs) represent an interesting candidate cell type in this sense, as they are known to play a significant role in the generation of tolerance while expressing among the highest amount of NOD2 of any cell in the body. Thus, we chose to explore the role of Nod-like receptor activation in the control of CD103+ populations in various organs and tissues. Mice were administered muramyl dipeptide (MDP; NOD2), FK-565 (NOD1), or lipopolysaccharide (LPS; TLR4) via intraperitoneal injection in PBS, or rectal installation in 50% ethanol. Leukocytes were then isolated from the spleen, mesenteric lymph node (MLN), peritoneal cavity (PC), and lamina propria (LP), and immunophenotyped by flow cytometry. Administration of MDP and FK-565 by either route did not affect the number or proportion in any tissue of CD103+CD11b+ dendritic cells, which are the classical dendritic cell type believed to be involved in the generation of tolerance. However, both intraperitoneal injection and rectal instillation of MDP and FK565 led to the appearance of a CD11chiCD103hi-expressing cell type within the spleen. Subsequent immunophenotyping identified the upregulation of CD103 to be primarily occurring on CD8α+CD24+ resident DCs, as proportions of these cells expressing CD103 increased from 18.8 ± 6.9% in untreated mice to 72.5 ± 0.8% without inducing a change in absolute cell number. Conversely, administration of LPS led to a near abolishment of CD8α DCs in all tissues, and this phenomenon could not be reversed by co-administration of MDP. Surprisingly, mice expressing a CD11c-specific knockout of NOD2 still displayed increased CD103 on splenic DCs following MDP injection, suggesting that a non-DC is responsible for the initial detection of MDP. This study shows that detection of peptidoglycan induces the upregulation of CD103 on spleen-resident DCs. This is a very interesting finding, as this surface phenotype is indicative of a population of cells that are thought to play a role in the development of peripheral tolerance by cross-presenting antigens captured from ingested apoptotic cells to CD8+ T-cells. To our knowledge, this is the first report to show that a specific stimulus can augment numbers of these cells in vivo, while suggesting that the detection of bacterial products might be involved in the generation of immunological tolerance that could potentially be lost in patients with CD carrying mutations in NOD2.

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 score0.002
Threshold uncertainty score0.006

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 head0.005
GPT teacher head0.203
Teacher spread0.198 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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