MétaCan
Menu
Back to cohort
Record W1976887335 · doi:10.1182/blood-2010-07-295436

Cutaneous GVHD is associated with the expansion of tissue-localized Th1 and not Th17 cells

2010· article· en· W1976887335 on OpenAlexafffund
Raewyn Broady, Jie Yu, Vickie Chow, Adisak Tantiworawit, Christine Y. Kang, Kyra B. Berg, Magdalena Martinka, Mehran Ghoreishi, Jan Dutz, Megan K. Levings

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsVancouver Coastal Health Research InstituteUniversity of British ColumbiaChild and Family Research InstituteVancouver Coastal Health
FundersCanadian Institutes of Health Research
KeywordsProinflammatory cytokineInterleukin 17ImmunologyGraft-versus-host diseaseMedicineInterferonDiseaseInflammationPathology

Abstract

fetched live from OpenAlex

Studies in mice have shown that proinflammatory Th17 cells can cause acute graft-versus-host disease (aGVHD) related tissue damage; however, whether they play a role in human aGVHD remains unclear. In a prospective study, we measured the proportion of Th17 cells in the blood and skin of patients at the onset of aGVHD. We found no difference in the proportion or amount of IL-17 produced by T cells in the blood of patients with aGVHD (n = 20) compared with time-matched patients without GVHD (n = 14). Moreover, Th17 cells were not increased in the skin of patients with cutaneous aGVHD (n = 7) compared with healthy controls (n = 10). In contrast, we found significantly more interferon-γ-producing T cells in the skin of patients with aGVHD compared with controls. These data support the long-standing paradigm that tissue localized interferon-γ-producing cells are the perpetrators of aGVHD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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

Citations75
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueBloodSame topicT-cell and B-cell ImmunologyFrench-language works237,207