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Record W2101337950 · doi:10.1177/154411130301400402

T<scp>he </scp>R<scp>ole of </scp>A<scp>cquired </scp>I<scp>mmunity and </scp>P<scp>eriodontal </scp>D<scp>isease </scp>P<scp>rogression</scp>

2003· review· en· W2101337950 on OpenAlexaff
Yen-Tung A. Teng

Bibliographic record

VenueCritical Reviews in Oral Biology & Medicine · 2003
Typereview
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsLondon Health Sciences CentreLawson Health Research InstituteWestern University
FundersNational Institute of Dental and Craniofacial Research
KeywordsImmune systemImmunologyBiologyContext (archaeology)PathogenesisAntigenT cellCytokineCD8

Abstract

fetched live from OpenAlex

Our understanding of the pathogenesis in human periodontal diseases is limited by the lack of specific and sensitive tools or models to study the complex microbial challenges and their interactions with the host’s immune system. Recent advances in cellular and molecular biology research have demonstrated the importance of the acquired immune system not only in fighting the virulent periodontal pathogens but also in protecting the host from developing further devastating conditions in periodontal infections. The use of genetic knockout and immunodeficient mouse strains has shown that the acquired immune response—in particular, CD4 + T-cells—plays a pivotal role in controlling the ongoing infection, the immune/inflammatory responses, and the subsequent host’s tissue destruction. In particular, studies of the pathogen-specific CD4 + T-cell-mediated immunity have clarified the roles of: (i) the relative diverse immune repertoire involved in periodontal pathogenesis, (ii) the contribution of pathogen-associated Th1-Th2 cytokine expressions in periodontal disease progression, and (iii) micro-organism-triggered periodontal CD4 + T-cell-mediated osteoclastogenic factor, ‘RANK-L’, which is linked to the induction of alveolar bone destruction in situ. The present review will focus on some recent advances in the acquired immune responses involving B-cells, CD8 + T-cells, and CD4 + T-cells in the context of periodontal disease progression. New approaches will further facilitate our understanding of their underlying molecular mechanisms that may lead to the development of new treatment modalities for periodontal diseases and their associated complications. Abbreviations used in the paper are as follows: Antibody, Ab; antigen, Ag; antigen-presenting cells, APC; Actinobacillus actinomycetemcomitans, A. actinomycetemcomitans or Aa; β 2 -microglobulin, β 2 m; cytotoxic CD8 + αβ T-lymphocytes, CTL; dendritic cells, DC; delayed-type hypersensitivity, DTH; immunoglobulin, Ig; Fc receptor, Fc-R; interferon-γ, IFN-γ; receptor activator of NF-κB ligand, RANK-L; molecular weight, MW; Porphyromonas gingivalis, P. gingivalis or Pg; localized juvenile periodontitis, LJP; lipopolysaccharide, LPS; mouse mammalian tumor virus, MMTV; non-obese diabetic and severe combined immunodeficiency mice, NOD/SCID mice; osteoclast, OC; T-helper cells, Th; superantigen, SAg; transforming growth factor-β, TGF-β; secretory-IgA, s-IgA; T-cell receptor, TCR; T cytotoxic-1 cells, Tc1; and T cytotoxic-2 cells, Tc2.

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)0.017
metaresearch head score (Gemma)0.278
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.261
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.278
Meta-epidemiology (narrow)0.0080.007
Meta-epidemiology (broad)0.0240.005
Bibliometrics0.0040.007
Science and technology studies0.0030.019
Scholarly communication0.0010.002
Open science0.0090.005
Research integrity0.0120.016
Insufficient payload (model declined to judge)0.0010.005

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 head0.084
GPT teacher head0.416
Teacher spread0.332 · 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; both teacher heads agree on what is shown here.

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

Citations147
Published2003
Admission routes1
Has abstractyes

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