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Record W2117415385 · doi:10.2215/cjn.03230314

M2 Macrophage Infiltrates in the Early Stages of ANCA-Associated Pauci-Immune Necrotizing GN

2014· article· en· W2117415385 on OpenAlexaff
Lei Zhao, Michael David, Elizabeth Hyjek, Anthony Chang, Shane M. Meehan

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2014
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsUniversity of Toronto
FundersNational Center for Advancing Translational Sciences
KeywordsPathologyFibrinoid necrosisMedicineCD68CD163Immune systemGlomerulonephritisGlomerular basement membraneKidneyMacrophageImmunohistochemistryImmunologyVasculitisInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: This study examined kidney biopsies with focal segmental glomerular fibrinoid necrosis to identify early features of pauci-immune necrotizing GN and the primary effector cells mediating initial capillary injury. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Seventeen consecutive kidney biopsies with focal pauci-immune necrotizing GN, obtained over a 6-year period (2007-2012), were studied. Neutrophils and CD68(+), CD163(+), CD3(+), CD56(+), and CD20(+) cells were scored in paraffin sections counterstained with periodic acid-Schiff. Electron microscopy was performed in 15 of 17 biopsies and additional examples of pauci-immune necrotizing GN (n=25). Biopsies with thin basement membrane nephropathy (n=5) served as immunohistologic normal controls. RESULTS: Biopsies with pauci-immune necrotizing GN had a mean of 10 (range=3-25) normal-appearing glomeruli, a mean of 2 (range=1-5) glomeruli with segmental fibrinoid necrosis, and a mean of 2 (range=1-11) glomeruli with cellular crescents. CD68(+) and CD163(+) macrophages predominated at sites of fibrinoid necrosis in pauci-immune necrotizing GN, exceeding the quantity of neutrophils and T cells (mean scores [SD]=2.5 [0.7] and 2.2 [0.75] versus 0.6 [0.5] and 0.1 [0.3], respectively; P<0.001). B and natural killer cells were rare. Normal-appearing glomeruli in pauci-immune necrotizing GN had significantly more CD68(+) and CD163(+) macrophages than the controls (CD68(+), 0.9 [0.3] versus 0.4 [0.3]; CD163(+), 1 [0.4] versus 0.4 [0.3]; P<0.001). The quantity of other glomerular infiltrates did not differ from controls. The serum creatinine level at biopsy correlated with the glomerular CD68 and neutrophil scores (r=0.74 and r=0.71, respectively; P=0.001) but did not correlate with the extent of fibrinoid necrosis (r=0.36). Macrophages were localized at minute perforations and attenuations of the capillary basement membrane by electron microscopy. CONCLUSIONS: Early pauci-immune necrotizing GN is characterized by a selective localization of CD163(+) M2 macrophages at sites of glomerular fibrinoid necrosis and in normal-appearing glomeruli. These observations indicate that alternatively activated macrophages are positioned as potential effectors of glomerular injury in the early stages of pauci-immune necrotizing GN and may be potential targets for therapeutic intervention.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.026
GPT teacher head0.328
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), 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

Citations95
Published2014
Admission routes1
Has abstractyes

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