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Antimicrobial peptides CATH‐2 and LL‐37 produce no protective effect after intratracheal co‐administration with LPS in vivo

2016· article· en· W2971738546 on OpenAlexafffundabout
Brandon J. H. Banaschewski, Julianna Decuzzi, Edwin J.A. Veldhuizen, Henk P. Haagsman, Cory Yamashita, Ruud A. W. Veldhuizen

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsIn vivoAntimicrobialPharmacologyChemistryMedicineBiologyBiotechnology

Abstract

fetched live from OpenAlex

Background The host inflammatory response produced in bacterial pneumonia is a major contributing factor of the pathophysiologic processes observed in a respiratory infection. Antimicrobial peptides (AMPs) have been shown to possess potent broad‐spectrum antimicrobial activity as well as immunomodulatory properties. As a potential therapy for bacterial pneumonia, we have previously investigated the anti‐bacterial properties of AMPs in the presence of a pulmonary delivery agent, exogenous surfactant. To further explore the properties of these compounds, the current study evaluates the effects of AMPs with and without exogenous surfactant on pulmonary inflammation in vivo . Objective The objective of this study was to investigate the potential of two cathelicidin peptides, CATH‐2 and LL‐37 and the exogenous surfactant/cathelicidin mixture BLES+CATH‐2, to reduce the inflammatory response produced upon LPS stimulation in vivo . Hypothesis Intrapulmonary administration of AMPs, with and without exogenous surfactant, will reduce lipopolysaccharide (LPS) induced inflammation. Methods Two cathelicidin peptides, CATH‐2 and LL‐37, were used in this study. CATH‐2 was also administered in combination with bovine lipid‐extract surfactant (BLES), as previous studies have shown bactericidal activity and enhanced biophysical function of this combination in vitro . C57Bl/6 mice were anesthetized, intubated, and intratracheally instilled 2 mg/kg of LPS. Five minutes later, mice were intratracheally instilled with 50μL one of the following treatments: Sham (no LPS), Air, Saline, BLES (20 mg phospholipid/kg BW), CATH‐2 (100 μM), LL‐37 (100 μM), or BLES+CATH‐2. The mice were monitored for six hours, and were then euthanized. A FlexiVent was used to measure lung compliance, and bronchoalveolar lavage (BAL) fluid was collected in order to determine cell counts, cell differentials, protein content and inflammatory cytokine concentrations. Results Animals that were administered LPS showed a significant increase in neutrophil recruitment and lavage IL‐6 content compared to sham control. Animals treated with CATH‐2 and LL‐37 showed a significant decrease in lung compliance compared to all other treatment groups, as well as an increase in lavage protein and IL‐6 content obtained from the BAL fluid. There was no significant difference among treatment groups with respect to total cells found in the BAL fluid, or percentage of neutrophils recovered between treatment groups. Discussion The results from this experiment did not support our initial hypothesis, as CATH‐2 and LL‐37 did not reduce the inflammatory response elicited by LPS challenge, but instead produced an exacerbated inflammatory response as well as decreased lung function, as observed through a decrease in lung compliance. It is possible that at the doses utilized, the cytotoxic effects of cathelicidins contributed to the inflammatory responses observed. The addition of exogenous surfactant BLES mitigated the deleterious effects of CATH‐2 administration; however it did not affect the markers of inflammation compared to controls. Support or Funding Information Canadian Institutes of Health Research Program of Experimental Medicine Cystic Fibrosis Foundation

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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
Published2016
Admission routes3
Has abstractyes

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