Evidence map›Paper›PMID 23732627›Full record

ReviewGenomics, proteomics & bioinformatics2013

Biomarker profiling for lupus nephritis.

Yajuan Li, Xiangdong Fang, Quan-Zhen Li

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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  14. Review
  15. Review
  16. Review
  17. MicroRNAs in kidney physiology and disease.Nature reviews. Nephrology · 2015
    Review
  18. Article
  19. Article
  20. 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

3 authors.

Yajuan LiDepartment of Immunology and Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Xiangdong Fang
Quan-Zhen Li

Funding

SLAM Genes-from Mouse to ManP50AR055503 · NIAMS · UT SOUTHWESTERN MEDICAL CENTER · PI KARP, DAVID R · 2007 to 2011
$8.3M
IMMUNOGENETICS--TARGET ORGAN DAMAGE IN IMMUNE NEPHRITISR01AR050812 · NIAMS · UT SOUTHWESTERN MEDICAL CENTER · PI MOHAN, CHANDRA · 2003 to 2012
$3.2M
Tissue Kallikrein In Immune Mediated NephritisR03AR055778 · NIAMS · UT SOUTHWESTERN MEDICAL CENTER · PI LI, QUAN-ZHEN · 2009 to 2011
$232k
NIAMS NIH HHS P50 AR055503NIAMS NIH HHS P50 CORT AR055503NIAMS NIH HHS R01 AR050812NIAMS NIH HHS R03 AR055778
6 · The paper itself

Abstract

Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE), which is associated with significant morbidity and mortality of SLE patients. The pathogenesis of LN involves multiple factors, including genetic predisposition, epigenetic regulation and environmental interaction. Over the last decade, omics-based techniques have been extensively utilized for biomarker screening and a wide variety of variations which are associated with SLE and LN have been identified at the levels of genomics, transcriptomics and proteomics. These studies and discoveries have expanded our understanding of the molecular basis of the disease and are important for identification of potential therapeutic targets for disease prediction and early treatment. In this review, we summarize some of the recent studies targeted at the identification of LN-associated biomarkers using genomics and proteomic approaches.

Indexed as

AnimalsBiomarkersDNA MethylationEpigenesis, GeneticGene-Environment InteractionGene Expression ProfilingGenetic MarkersGenetic Predisposition to DiseaseHistonesHumansLupus NephritisMicroRNAsPolymorphism, GeneticProteomeTranscriptomeBiomarkersGenetic MarkersHistonesMicroRNAsProteome

Identifiers

PMID23732627
PMCPMC4357827

What OpenQuestion holds

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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.