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Microvascular Dysfunction, Inflammation and Tissue Injury in Polymicrobial Sepsis

2018· article· en· W3177211060 on OpenAlexaff
Paulina M. Kowalewska, Christopher G. Ellis

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsSepsisSeptic shockInflammationMedicineMicrocirculationContext (archaeology)HemodynamicsPathologyH&E stainIntravital microscopyPerfusionParenchymaOrgan dysfunctionInternal medicineBiologyStaining

Abstract

fetched live from OpenAlex

Sepsis is an overwhelming systemic inflammatory response to infection that may lead to multiple organ failure and shock. One of the characteristics of sepsis is early microvascular dysfunction. In our rat model of polymicrobial sepsis, microvascular dysfunction is detected as early as 3 hours after infection (Bateman et al., Am J Physiol Heart Circ Physiol, 2001). The objective of this study was to examine the timing of microvascular dysfunction in the context of tissue injury and inflammation. Sepsis was induced in male Sprague‐Dawley rats with an intraperitoneal injection of a fecal slurry. Control animals were injected with normal saline. The septic and control animals were then prepared for intravital video microscopy (IVVM) of the right extensor digitorum longus (EDL) muscle. The microvasculature was examined for changes in hemodynamics and erythrocyte oxygen saturation using dual wavelength IVVM for a period of 4 or 6 hours after the injection of the fecal slurry. The data were set aside for future analysis and comparisons were made to our existing hemodynamic data in order to further characterize our sepsis model. Completion of IVVM observations was followed by perfusion fixation and organ collection. Hematoxylin and eosin‐stained sections were graded for pathological and inflammatory changes normalized to tissues collected from naïve control animals. Livers from septic and control animals were both marked by mild leukocyte infiltration in the 4‐hour and 6‐ hour groups, while erythrocyte trapping within the microvasculature did not rise above naïve levels and parenchymal cell architecture was not altered. The EDL muscles from septic animals did not exhibit increased inflammatory cell infiltration. Immunohistochemical labelling of brain sections for rat MHC class II did not show signs of inflammatory microglial activation in coronal slices spanning the entire brain in the septic animals from the 4‐hour and 6‐hour groups. Intravenous injection of Evans Blue prior to perfusion fixation also indicated that the blood‐brain barrier was not broken. On the other hand, septic rats had evidence of increased dye leakage in the liver and kidneys, which was not observed in the saline‐injected animals. Evans Blue leakage was not observed in the intact EDL muscles of either group. The findings of this study suggest that microvascular dysfunction occurs before detectable organ injury in our rat fecal‐induced peritonitis model of sepsis. Support or Funding Information Collaborative Health Research Projects ( CHRP ) This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.024
GPT teacher head0.291
Teacher spread0.268 · 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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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