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Record W2000545144 · doi:10.1097/mog.0b013e3282f0d012

The functional interactions of commensal bacteria with intestinal secretory IgA

2007· review· en· W2000545144 on OpenAlexaff
Andrew J. Macpherson, Emma Slack

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2007
Typereview
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsImmune systemBiologyCommensalismImmunologyMicrobiologyCytokineSecretionDendritic cellIntestinal mucosaCell biologyBacteriaMedicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The aim of this article is to describe the immune geography of IgA induction by commensal intestinal bacteria and the underlying mechanisms of cytokine and costimulatory signalling between dendritic cells, B cells and T cells. RECENT FINDINGS: Intestinal dendritic cells sample commensal intestinal bacteria that penetrate the epithelial layer and induce IgA+ B cells to seed the mucosa with IgA plasma cells. Constitutive secretion of retinoic acid by intestinal dendritic cells directs the specificity of the IgA class switch and homing receptor expression in Peyer's patch B cells. In-vivo experiments have shown that TGF-beta is a vital cytokine for IgA induction in vivo, and the tumour necrosis factor family members BAFF and APRIL provide key costimulatory signals. After transport through the epithelial layer secretory IgA limits penetration of commensal bacteria back through the epithelium and shapes the density of different bacterial species in the intestinal lumen. SUMMARY: Production of IgA is an important adaptation to the presence of commensal intestinal bacteria and induction of the response is compartmentalized within the intestinal mucosal immune system. This compartmentalization allows a vigorous mucosal immune response to commensals without needing the systemic immune system to be tolerant of these organisms.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.080
GPT teacher head0.336
Teacher spread0.256 · 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

Citations155
Published2007
Admission routes1
Has abstractyes

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