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Interplay between NO, prostaglandins and K <sub>ATP</sub> channels in the lymphatic pumping dysfunction observed during experimental intestinal inflammation

2012· article· en· W3176781667 on OpenAlexafffund
Pierre‐Yves von der Weid, Ryan Mathias, Sonia Rehal

Bibliographic record

VenueThe FASEB Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsLymphatic systemInflammationLymphNitric oxide synthaseInternal medicineNitric oxidePotassium channelEndocrinologyIleitisLymphatic vesselChemistryPathologyMedicineDisease

Abstract

fetched live from OpenAlex

Lymphatic vessels rhythmically contract to actively propel lymph. This function, critical to tissue fluid homeostasis and immune cell trafficking is impaired in Crohn's disease and in the guinea‐pig model of TNBS ileitis, suggesting compromised lymph flow and lymphatic vessels potential players in the disease. Nitric oxide (NO) and prostaglandins (PGs), abundantly produced during intestinal inflammation, are known to activate ATP‐sensitive potassium (K ATP ) channels expressed in lymphatic muscle. Our aim was to assess the role of K ATP channels, NO and PGs in inflammation‐induced lymphatic pumping dysfunction. After induction of intestinal inflammation, mesenteric lymphatics were collected for qPCR analysis, or isolated to assess their contractile and electrophysiological properties. Expression of mRNA for K ATP channel subunits Kir6.1 and SUR2B, nitric oxide synthase iNOS and cyclooxygenase COX2 was significantly upregulated in lymphatics from TNBS‐compared to sham‐treated animals. Vessels from TNBS‐treated animals were dilated, quiescent, with strongly hyperpolarized muscle. Administration of the K ATP blocker glibenclamide, iNOS inhibitor 1400W and COX inhibitor indomethacin restored pumping and depolarized lymphatic muscle. Our findings suggest that NO and PGs mediate lymphatic contractile dysfunction seen in TNBS‐treated animals via K ATP channel opening. Supported by 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)0.000
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 score0.007
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.035
GPT teacher head0.280
Teacher spread0.245 · 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
Published2012
Admission routes2
Has abstractyes

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