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Record W3126468232 · doi:10.26443/mjm.v1i1.754

Immune-Mediated Tissue Injury (Hypersensitivity Reactions)

2020· article· en· W3126468232 on OpenAlexvenueno aff
Gérald J. Prud’homme

Bibliographic record

VenueMcGill Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsImmunologyMedicineHypersensitivity pneumonitisImmune systemCytotoxic T cellAntigenDelayed hypersensitivityImmune complexSerum sicknessAntibodyBiology

Abstract

fetched live from OpenAlex

Hypersensitivity is synonymous with immune-mediated tissue injury. Hypersensitivity reactions occur in several forms and give rise to numerous conditions including allergies, autoimmune disease, allograft rejection, granulomatous inflammation, and a variety of acute or chronic inflammatory disorders (vasculitis, glomerulonephritis, arthritis, pneumonitis, encephalitis, etc.). While hypersensitivity is usually detrimental, in some cases it represents a normal response to a pathogen (e.g., the granulomatous inflammation of tuberculosis). Several years ago, Gell and Coombs divided hypersensitivity states into four basic types (1), and this classification remains useful today (Table 1). Type I hypersensitivity reactions result from IgE-dependent degranulation of mast cells or basophils. Type II, or "cytotoxic" hypersensitivity, results from the binding of IgG or IgM antibodies to cell membranes or fixed tissue antigens, causing activation of the complement system. Type III, or "immune-complex" hypersensitivity, results from the formation of immune complexes that precipitate in tissues (or form in situ), also with activation of complement. Type IV, or "cell-mediated" reactions, can be subdivided into two basic types: type IV-A is synonymous with delayed-type hypersensitivity (DTH) and usually occurs in response to soluble antigens; type IV-B results from the direct killing of target cells by cytotoxic T lymphocytes (CTL). Stimulation of cells by anti-receptor autoantibodies (such as the anti-TSH receptor antibodies of Graves' disease) has been designated as type V hypersensitivity by some authors. In addition, there are syndromes caused by massive cytokine release that are not usually referred to as hypersensitivity reactions, although (in accord with the definition) they should be included in that category. Examples are anti-CD3 mAb therapy, superantigen- (superAg) induced diseases (toxic shock syndrome, scalded skin syndrome), and shock caused by endotoxins (gram negative septicemia). Despite the occurrence of tissue injury, it should be understood that hypersensitivity mechanisms evolved as a means of fighting infectious agents. The mechanisms underlying these hypersensitivity states will be described and some clinical examples will be mentioned. In particular, the important role of cytokines, which is an area where considerable progress has occurred in recent years, will be emphasized.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.027
GPT teacher head0.291
Teacher spread0.264 · 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.

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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