Evidence map›Paper›PMID 22565294›Full record

ArticleMetallomics : integrated biometal science2012

A systems approach implicates nuclear receptor targeting in the Atp7b(-/-) mouse model of Wilson's disease.

Phillip A Wilmarth, Kristopher K Short, Oliver Fiehn, Svetlana Lutsenko, Larry L David, Jason L Burkhead

Open access · greenAbstract read
In one paragraph

Article in Metallomics : integrated biometal science, 2012. 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
1.4field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Wilson Disease: Update on Pathophysiology and Treatment.Frontiers in cell and developmental biology · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Metabolic dysregulation in theProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Article
  13. Metabolomics profiles of patients with Wilson disease reveal a distinct metabolic signature.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  14. Altered zinc balance in the Atp7bMetallomics : integrated biometal science · 2018
    Article
  15. Animal models of Wilson disease.Journal of neurochemistry · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Modifying factors and phenotypic diversity in Wilson's disease.Annals of the New York Academy of Sciences · 2014
    Review
  20. 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

6 authors at 4 institutions in 1 country.

Phillip A WilmarthDept. Biochemistry and Molecular Biology, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
Kristopher K Short
Oliver Fiehn
Svetlana Lutsenko
Larry L David
Jason L Burkhead
In-Q-Tel · USOregon Health & Science University · USJohns Hopkins University · USUniversity of California, Davis · US

Funding

The Administrative CoreP20GM103395 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI BRIAN M BARNES · 2012 to 2026
$66.1M
VIROLOGISTP20RR016466 · NCRR · UNIVERSITY OF ALASKA FAIRBANKS · PI LEIGH, MARY BETH · 2001 to 2011
$37.0M
The role of transferrin receptor 2 in iron homeostasisP01GM067166 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI UNGER, VINZENZ · 2003 to 2013
$14.6M
NCRR NIH HHS 5P20RR016466-11NCRR NIH HHS P20 RR016466NIGMS NIH HHS P01 GM067166NIGMS NIH HHS P20GM103395
6 · The paper itself

Abstract

Wilson's disease (WD) is an inherited disorder of copper metabolism characterized by liver disease and/or neurologic and psychiatric pathology. The disease is a result of mutation in ATP7B, which encodes the ATP7B copper transporting ATPase. Loss of copper transport function by ATP7B results in copper accumulation primarily in the liver, but also in other organs including the brain. Studies in the Atp7b(-/-) mouse model of WD revealed specific transcript and metabolic changes that precede development of liver pathology, most notably downregulation of transcripts in the cholesterol biosynthetic pathway. In order to gain insight into the molecular mechanisms of transcriptomic and metabolic changes, we used a systems approach analysing the pre-symptomatic hepatic nuclear proteome and liver metabolites. We found that ligand-activated nuclear receptors FXR/NR1H4 and GR/NR3C1 and nuclear receptor interacting partners are less abundant in Atp7b(-/-) hepatocyte nuclei, while DNA repair machinery and the nucleus-localized glutathione peroxidase, SelH, are more abundant. Analysis of metabolites revealed an increase in polyol sugar alcohols, indicating a change in osmotic potential that precedes hepatocyte swelling observed later in disease. This work is the first application of quantitative Multidimensional Protein Identification Technology (MuDPIT) to a model of WD to investigate protein-level mechanisms of WD pathology. The systems approach using "shotgun" proteomics and metabolomics in the context of previous transcriptomic data reveals molecular-level mechanisms of WD development and facilitates targeted analysis of hepatocellular copper toxicity.

Indexed as

Adenosine TriphosphatasesAnimalsCation Transport ProteinsCopperCopper-Transporting ATPasesDisease Models, AnimalDNA DamageDNA RepairDown-RegulationGene Regulatory NetworksGlucocorticoidsHepatolenticular DegenerationLipid MetabolismMetabolomeMiceOsmotic PressureAdenosine TriphosphatasesAtp7a protein, mouseCation Transport ProteinsCopperCopper-Transporting ATPasesGlucocorticoidsNR3C1 protein, mouseProteomeReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearReceptors, Glucocorticoid

Identifiers

PMID22565294
PMCPMC3695828
OpenAlexW2064284484

What OpenQuestion holds

Textmetadata
LicenceTDM
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.