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Record W2939103462 · doi:10.1002/eji.201847485

Innate immune cells orchestrate the repair of sterile injury in the liver and beyond

2019· review· en· W2939103462 on OpenAlexafffund
Mokarram Hossain, Paul Kubes

Bibliographic record

VenueEuropean Journal of Immunology · 2019
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchServier
KeywordsBiologyInnate immune systemImmune systemImmunologyCell biology

Abstract

fetched live from OpenAlex

There is a close association between inflammation and sterile injury, however not all sterile injuries are the same. While a regulated inflammatory response is crucial for proper healing, a dysregulated or nonterminating response leads to disrepair. While immune cells are thought to contribute to the disrepair, they may also be critical for proper healing and as such, their actions may dictate the end result. In all forms of sterile injury, release of damage-associated molecular patterns from necrotic cells causes robust recruitment of innate immune cells. The subsequent release of toxic mediators from immune cells is thought to be damaging in non-resolving sterile injuries in which the dysregulated immune response leads to chronic inflammatory disease. While similar mediators may be released from immune cells in resolution of acute injury, the spatial localization, timing, and self-termination may all be critical. In this review, we summarize the recent advances in our understanding of the temporal and spatial recruitment of various innate immune cells that beget appropriate healing of acute injuries. Where possible we try to compare this appropriate response to dysregulated sterile injuries in an attempt to identify novel therapeutic targets.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.003
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 head0.031
GPT teacher head0.272
Teacher spread0.240 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations49
Published2019
Admission routes2
Has abstractyes

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