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Record W2077282883 · doi:10.1160/th08-09-0575

Hereditary and acquired complement dysregulation in membranoproliferative glomerulonephritis

2009· article· en· W2077282883 on OpenAlexaff
Véronique Frémeaux‐Bacchi, Christoph Licht

Bibliographic record

VenueThrombosis and Haemostasis · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMembranoproliferative glomerulonephritisComplement systemImmunologyMedicineComplement (music)Immune dysregulationGlomerulonephritisAlternative complement pathwayBiologyAntibodyGeneticsInternal medicinePhenotypeImmune systemKidneyGene

Abstract

fetched live from OpenAlex

Membranoproliferative glomerulonephritis (MPGN) is a chronic progressive renal disease that is diagnosed on the basis of renal histological features. Several MPGN subtypes have been defined by the localization and composition of glomerular deposits (electron dense, Ig and C3). MPGN II or dense deposit disease (DDD) which is defined by the occurrence of electron dense deposits within the lamina densa of the glomerular basement membrane (GBM) is strongly associated with dysregulation of the alternative complement pathway (AP). However, C3 Nephritic Factor (C3NeF), an autoantibody against the alternative C3 convertase C3bBb, and mutations in regulatory proteins of the AP have also been identified in other subtypes of MPGN and even in glomerulonephritis with mesangial C3 deposits. Clinically, MPGN is characterized by proteinuria (up to nephrotic range) and hypertension, frequent progression to end-stage kidney disease and disease recurrence after renal transplantation. The age of onset varies from childhood to adulthood. In the following we will review our current knowledge of pathogenesis of MPGN and will present a novel classification system of the disease based on pathogenesis rather than on morphology. A better understanding of the pathogenesis of MPGN is crucial for the development of novel, specific treatment strategies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.711

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 studies0.0000.000
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 head0.043
GPT teacher head0.305
Teacher spread0.262 · 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 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

Citations61
Published2009
Admission routes1
Has abstractyes

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