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Record W2921906210 · doi:10.1093/jbcr/irz013.081

79 Burn Injury Alters Pulmonary Neutrophil Extracellular Trap (NET) Formation

2019· article· en· W2921906210 on OpenAlexaff
Miyuki Sakuma, M. S. Khan, Shingo Yasuhara, M Jeevendra A, Nades Palaniyar

Bibliographic record

VenueJournal of Burn Care & Research · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeutrophil extracellular trapsBronchoalveolar lavageMedicineLungPneumoniaPathologyBurn injuryImmunologyInflammationInternal medicineSurgery

Abstract

fetched live from OpenAlex

It is well known that burn patients suffer from serious lung complications such as acute respiratory distress syndrome, acute lung injury and pneumonia. However, the reasons for the development of these conditions after burn injury (BI) are not clearly understood. Several studies have been examined the importance of macrophages after burn injury. However, the involvement of neutrophils in lung complications after BI has not been studied in detail. Particularly, the importance of recently identified neutrophil extracellular traps (NETs) in the lungs after BI is unknown. NETs are considered to help trap infectious agents to protect the host; however, excess NETs could damage and destroy the airways and cause lung dysfunction. We established an in vivo model to study NETosis in the lungs after BI using an LPS model and investigated neutrophil behavior in burn injured individuals with/without LPS-mediated pneumonia. We have first created a 15% body burn, and instilled various amounts of LPS (0–50 µg/kg) into the airways of BALB/c mice. After various time points (30mins, 3 h, 16 h, 1-7day), we have collected bronchoalveolar lavage (BAL) fluid, and lung tissues. Immune cells present in the BAL fluid were deposited on slides by Cytospin preparations, stained and quantified by microscopy. DNA-protein complexes present in the BAL supernatant and lung tissues were analyzed by agarose gel electrophoresis and PicoGreen assays. Presence of a NET marker, citrullinated histone, and further quantification of neutrophils with MPO in the lung, were analyzed by Western blots and immunohistochemistry. The data obtained from these studies show that neutrophils are not detectable in the airways under baseline or after BI; however, different numbers of neutrophils and amounts of NETs were present under various experimental conditions and time points-post BI. These data show that we could measure NET components in the airways of mice instilled with LPS after BI. We have successfully established a mouse model to study pulmonary NETosis in BI, and optimized the range of LPS concentrations and time points necessary to observe differences in NETosis under various experimental conditions. BI reduces the LPS-mediated pulmonary innate immune response. A decrease in innate immune response may be responsible for the increase in pneumonia incidence in patients with BI. This model should help understand the roles of NETs in pulmonary dysfunction after BI, and for testing potential drugs for correcting NET-mediated lung complications.

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 score0.004
Threshold uncertainty score0.014

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)0.0040.001

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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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
Published2019
Admission routes1
Has abstractyes

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