Evidence map›Paper›PMID 21342299›Full record

ReviewInternational journal of experimental pathology2011

Strain differences and the genetic basis of experimental autoimmune anti-glomerular basement membrane glomerulonephritis.

John Reynolds

Open access · greenAbstract readComparative StudyReview
In one paragraph

Review in International journal of experimental pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Experimental models of renal disease.International journal of experimental pathology · 2011
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

John ReynoldsDivision of Science, Park Square Campus, University of Bedfordshire, Luton, UK. john.reynolds@beds.ac.uk
University of Bedfordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Goodpasture's, or anti-glomerular basement membrane (GBM), disease presents with rapidly progressive glomerulonephritis, caused by autoimmunity to a component of the GBM, the non-collagenous domain of the α3 chain of type IV collagen [α3(IV)NC1]. To investigate the mechanisms of inflammation in glomerulonephritis and to test new approaches to treatment, animal models of glomerulonephritis, termed experimental autoimmune glomerulonephritis (EAG), have been developed in susceptible strains of rats and mice. This review article describes how these models of EAG have been developed over the past three decades, discusses the evidence for the involvement of both humoral and cell-mediated immunity in the induction and pathogenesis of glomerulonephritis in these models and highlights recent, emerging data that have identified potential candidate genes that may control the genetic susceptibility in these different strains of rats and mice. The identification of these susceptibility genes has lead to a better understanding of the genetic basis of this model of anti-GBM disease, which may be relevant to the immunopathogenesis of Goodpasture's disease, and more generally to the progression from autoimmunity to target-organ damage.

Indexed as

AnimalsAnti-Glomerular Basement Membrane DiseaseDisease Models, AnimalGenetic Predisposition to DiseaseImmunity, CellularImmunity, HumoralMiceMice, Inbred AKRMice, Inbred C57BLMice, Inbred CBAMice, Inbred DBARatsRats, Inbred BNRats, Inbred F344Rats, Inbred LewRats, Inbred WKY

Identifiers

PMID21342299
PMCPMC3101493
OpenAlexW1958660186

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.