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Caspases in Inflammation and Immunity

2009· other· en· W1498781671 on OpenAlexaff
Philippe M. LeBlanc, Maya Saleh

Bibliographic record

VenueEncyclopedia of Life Sciences · 2009
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsInnate immune systemBiologyCaspaseAcquired immune systemImmunityCell biologyEffectorInflammationProgrammed cell deathImmune systemPattern recognition receptorImmunologyApoptosisGenetics

Abstract

fetched live from OpenAlex

Abstract Two of the main challenges that eukaryotic multicellular organisms faced during evolution were to cope with invading microorganisms and to eliminate infected cells. The immune system evolved to handle both tasks. Intertwined with immunity is programmed cell death that tailors the immune response and provides an effective way to remove infected cells. Caspases, effectors of inflammation and programmed cell death cascades, are perfectly suited to regulate the host response to invaders and injury. Their activity as inflammatory and killer proteases is regulated by direct binding to sensors of pathogens or danger, they can be modified following activation of signalling cascades by feedback mechanisms to terminate the inflammatory response and control cell survival, and they associate with coactivators and corepressors whose expression is closely linked to the needs of the cell. Key concepts Cell death and innate immunity are ancient evolutionarily conserved processes that utilize a number of related effectors and parallel signal transduction mechanisms. Innate immunity provides first line defences against pathogens and acts as a sentinel that primes adaptive immunity. Innate immunity depends on evolutionarily conserved germline‐encoded pattern recognition receptors (PRRs) that ‘sense’ pathogen‐associated molecular patterns (PAMPs) and ‘danger’ signals. The role of caspases in innate immunity is conserved through evolution. Caspase‐1, the prototypical member of the inflammatory caspase subfamily, contributes to host defence through different interrelated mechanisms, notably cell repair, inflammation and cell death. Caspase‐1 activity is necessary for host resistance to pathogens; however, when deregulated, it is at the basis of multiple inflammatory diseases. Inflammatory caspases are activated in NLR‐scaffolded multiprotein complexes termed ‘inflammasomes’ that are reminiscent of the apoptosome. Caspase‐12, an inflammatory caspase related to caspase‐1, is an endogenous inhibitor of the inflammasome. Apoptosis tailors adaptive immunity. Mutations in Casp‐8 and Casp‐10 cause autoimmune lymphoproliferative syndrome (ALPS). Excessive apoptotic caspase activity contributes to the pathogenesis of inflammatory diseases such as severe sepsis.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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 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

Citations4
Published2009
Admission routes1
Has abstractyes

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