Evidence map›Paper›PMID 37239388›Full record

ReviewGenes2023

Deciphering the Genetic Code of Autoimmune Kidney Diseases.

Stephanie U-Shane Huang, Oneli Kulatunge, Kim Maree O'Sullivan

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. CAR-T Cell Therapy for Autoimmune Kidney Diseases: Where Do We Stand Now?International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. [Update on lupus nephritis].Zeitschrift fur Rheumatologie · 2024
    Review
  7. Targeting inerleukin-6 for renoprotection.Frontiers in immunology · 2024
    Review
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

3 authors at 1 institution in 1 country.

Stephanie U-Shane HuangDepartment of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC 3168, Australia.ORCID 0000-0003-1581-160X
Oneli KulatungeDepartment of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC 3168, Australia.
Kim Maree O'SullivanDepartment of Medicine, Centre for Inflammatory Diseases, Monash University, Clayton, VIC 3168, Australia.ORCID 0000-0002-3098-7948
Monash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune kidney diseases occur due to the loss of tolerance to self-antigens, resulting in inflammation and pathological damage to the kidneys. This review focuses on the known genetic associations of the major autoimmune kidney diseases that result in the development of glomerulonephritis: lupus nephritis (LN), anti-neutrophil cytoplasmic associated vasculitis (AAV), anti-glomerular basement disease (also known as Goodpasture's disease), IgA nephropathy (IgAN), and membranous nephritis (MN). Genetic associations with an increased risk of disease are not only associated with polymorphisms in the human leukocyte antigen (HLA) II region, which governs underlying processes in the development of autoimmunity, but are also associated with genes regulating inflammation, such as

Indexed as

Anti-Glomerular Basement Membrane DiseaseAutoimmune DiseasesKidney DiseasesGenetic CodeGenome-Wide Association StudyHumansInflammationKidneyKidney Glomerulusanti-neutrophil cytoplasmic antibody vasculitisgene mutationsglomerulonephritisIgA nephropathy anti-glomerular basement diseaseinflammationlupus nephritisneutrophil extracellular traps

Identifiers

PMID37239388
PMCPMC10218028
OpenAlexW4367625091

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.