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Lymphatic pump function in the inflamed gut

2010· review· en· W1593417665 on OpenAlexaff
Pierre‐Yves von der Weid, Sonia Rehal

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2010
Typereview
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLymphatic systemInflammationContext (archaeology)MedicineEdemaInflammatory bowel diseaseImmunologyPathogenesisLymphatic vesselImmune systemPathologyInternal medicineDiseaseBiologyMetastasis

Abstract

fetched live from OpenAlex

The role of the lymphatic circulation to actively remove fluid, cells, proteins, and other particles from the interstitium to prevent mounting edema is well appreciated, but whether and how this function is compromised during inflammation has been scarcely investigated. We discuss here the mechanisms of lymphatic pumping and their modulation in inflammatory conditions or by inflammatory mediators in the context of inflammatory bowel disease (IBD), an ensemble of disorders typically described with abnormal or dysfunctional intestinal or mesenteric lymphatic vessels. We report our findings showing impaired mesenteric lymphatic contractile activity in an animal model of intestinal inflammation that recapitulates some features of IBD and suggests a role for prostanoids in this dysfunction. With the knowledge that prostaglandin E(2) and prostacyclin are implicated in IBD pathogenesis and induce a potent inhibition of lymphatic pumping, we established the pharmacological profile for these prostaglandin receptors in mesenteric lymphatic vessels and their respective role in pumping inhibition. Inhibition of mesenteric lymphatic pumping during inflammation may be a cause of edema, compromised immune response, and granuloma associated with IBD.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.176
GPT teacher head0.404
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations37
Published2010
Admission routes1
Has abstractyes

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Same venueAnnals of the New York Academy of SciencesSame topicLymphatic System and DiseasesFrench-language works237,207