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Record W2314392855 · doi:10.1679/aohc.76.9

<b>Pivotal role of duct epithelia in salivary gland </b><b>GVHD </b>

2016· article· en· W2314392855 on OpenAlexaff
Masaru Sasaki, Yasushi Sawanobori, Toshiya Tanaka, Hisashi Ueta, Yusuke Kitazawa, Sachiko Kikuta, Thomas B. Issekutz, Kenjiro Matsuno

Bibliographic record

VenueArchives of Histology and Cytology · 2016
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsDalhousie University
FundersJapan Society for the Promotion of ScienceNational Center for Child Health and Development
KeywordsDuctal cellsSalivary glandPathologyDownregulation and upregulationImmunostainingCXCR3Submandibular glandSublingual glandGraft-versus-host diseaseInfiltration (HVAC)EpitheliumReceptorMedicineBiologyChemokineChemokine receptorImmunohistochemistryInternal medicineDisease

Abstract

fetched live from OpenAlex

Although salivary glands are one of the target organs in graft-versus host disease (GVHD), mechanism of disease-related tissue injury has been poorly understood. To investigate it, we employed rat GVHD model including irradiation and donor cell transfer. Immunostaining revealed that submandibular and parotid, but not sublingual glands showed acinar reduction whereas ducts were almost intact. Ductal area of sublingual glands was significantly smaller than those of submandibular and parotid glands. Ductal epithelial cells upregulated expression of class II major histocompatibility complex antigens overtime. This expression preceded donor cell infiltration. Donor cell infiltration was preferentially found in ductal area at the early phase of the disease. While ductal epithelial cells exhibited upregulated mRNA expression of Th1-type chemokines, infiltrating donor cells exhibited their receptors CXCR3 and CCR5. These results suggest ductal epithelial cells have a pivotal role in the progression of GVHD.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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
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
Published2016
Admission routes1
Has abstractyes

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