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Record W2053389505 · doi:10.1080/00365540310015962

Association of Human Leukocyte Antigen with Outcomes of Infectious Diseases: The Streptococcal Experience

2003· review· en· W2053389505 on OpenAlexaff
Malak Kotb, Anna Norrby‐Teglund, Allison McGeer, K. Green, Donald E. Low

Bibliographic record

VenueScandinavian Journal of Infectious Diseases · 2003
Typereview
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSuperantigenImmunologyBiologyImmune systemDiseaseAntigenGenetic predispositionPathogenHuman leukocyte antigenHaplotypeGenotypeMedicineGeneticsT cellGene

Abstract

fetched live from OpenAlex

The role of host genetic factors in determining susceptibility to infections has become more evident. Certain individuals appear to be predisposed to certain infections, whereas others are protected. By studying the immune response and the genetic makeup of susceptible and resistant individuals a better understanding of the disease process can be achieved. Infections caused by group A streptococci offer an excellent model to study host-pathogen interactions and how the host genetic variation can influence the infection outcome. These studies showed that the same clone of these bacteria can cause severe or non-severe invasive disease. This difference was largely related to the human leukocyte antigen class 11 type of the patient. Certain class II haplotypes present the streptococcal superantigens in a way that results in responses, whereas others present the same superantigens in a way that elicits very potent inflammatory responses that can lead to organ failure and shock. These findings underscore the role of host genetic factors in determining the outcome of serious infections and warrants further investigations into how the same or different genetic factors affect susceptibility to other emerging and re-emerging pathogens.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.203
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.343
Teacher spread0.320 · 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 designObservational
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

Citations37
Published2003
Admission routes1
Has abstractyes

Explore more

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