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Record W2142809909 · doi:10.1093/ndt/gfm890

Presence of autoantibodies against tubular and uveal cells in a patient with tubulointerstitial nephritis and uveitis (TINU) syndrome

2007· article· en· W2142809909 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNephrology Dialysis Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineUveitisAutoantibodyNephritisInterstitial nephritisImmunologyDermatologyPathologyInternal medicineKidneyAntibody

Abstract

fetched live from OpenAlex

Tubulointerstitial nephritis and uveitis (TINU) syndrome is characterized by acute tubulointerstitial nephritis with a favourable course and chronic recurrent uveitis. Since the first description in 1975 [ 1 ], more than 150 cases have been described in the literature [ 2 ]. Most of the patients with TINU syndrome are adolescents and young women, with a median age of onset of 15 (range 9 to 74) years. Renal tubulointerstitial infiltrates are primarily composed of activated lymphocytes, among which the helper/inducer T-cell subset is reported to be predominant [ 3,4 ]. In addition, TINU syndrome can be associated with granuloma in kidney or in another localization like bone marrow [ 1 , 5–7 ]. The pathogenesis of TINU syndrome remains unclear, but cell-mediated immunity, in particular delayed-type hypersensitivity, could play a large role in this disorder [ 8 ]. In addition, some studies suggest that uveitis and tubulointerstitial nephritis have a common immunological pathogenesis and so it was postulated that there may be a common antigenicity between renal and ocular tissues [ 3 , 9 ].

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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