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Record W2902642335 · doi:10.1111/ceo.13453

Effects of intravitreal bevacizumab in Gram‐positive and Gram‐negative models of ocular inflammation

2018· article· en· W2902642335 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical and Experimental Ophthalmology · 2018
Typearticle
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health Research
KeywordsMedicineBevacizumabChemokineInflammationEndophthalmitisIntravitreal administrationCXCL1Proinflammatory cytokineEotaxinTumor necrosis factor alphaLipopolysaccharideImmunologyPharmacologyRetinalOphthalmologyInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

BACKGROUND: Exogenous endophthalmitis is a potential complication of intraocular surgery and frequently results in visual impairment. Current treatment involves administration of intravitreal (IVT) antibiotics with or without vitrectomy surgery. Evidence for the use of adjunctive anti-inflammatory agents is conflicting. We set out to determine if bevacizumab, a humanized monoclonal IgG1 antibody targeted against vascular endothelial growth factor (VEGF), has anti-inflammatory properties in experimental models of Gram-positive and Gram-negative inflammation. METHODS: BALB/c mice were subjected to lipopolysaccharide- (LPS) or peptidoglycan- (PGN) induced ocular inflammation and treated with IVT bevacizumab. Iris microvasculature was imaged 6 hours following irritant/treatment using intravital microscopy (IVM) before the mice were euthanized and the eyes were enucleated immediately post-mortem. Following enucleation, levels of VEGF and 23 cytokines and chemokines (IL-1α, IL-1β, IL-2, IL-3, IL-4, IL-5, IL-6, IL-10, IL-12 (p40), IL-12 (p70), IL-13, IL-17, TNF, KC, G-CSF, GM-CSF, Eotaxin, INF-γ, MCP-1, MIP-1α, MIP-1β, RANTES) were quantified using a multiplex assay. RESULTS: Levels of VEGF were significantly increased during the inflammatory response, triggered by either PGN or LPS. Both the adherence of leukocytes to the iris vascular endothelium and the levels of pro-inflammatory cytokines and chemokines were significantly increased following administration of either irritant. Treatment with bevacizumab decreased levels of leukocyte adherence in LPS-treated eyes, however, not in PGN-treated eyes. Conversely, bevacizumab treatment decreased levels of cytokines and chemokines (TNF, IL-6, MCP-1, MIP-1α, MIP-1β, RANTES, KC) in PGN-treated eyes, however, not in LPS-treated eyes. CONCLUSIONS: Within a 6-hour window bevacizumab had anti-inflammatory actions that were distinct in both Gram-positive (PIU) and Gram-negative (EIU) models, respectively. Given our findings, this would suggest that bevacizumab may have utility as an adjunctive therapy to IVT antibiotics and vitrectomy in the management of exogenous endophthalmitis.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.367
Teacher spread0.343 · 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