Evidence map›Paper›PMID 20655343›Full record

ReviewAdvanced drug delivery reviews2010

Nuclear receptors as drug targets for metabolic disease.

Ira G Schulman

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Trial
  2. Review
  3. Mechanisms and Therapeutic Advances of PXR in Metabolic Diseases and Cancer.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Role of FXR in Renal Physiology and Kidney Diseases.International journal of molecular sciences · 2023
    Review
  17. Review
  18. Article
  19. Significant association ofJournal of diabetes and metabolic disorders · 2021
    Article
  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

1 author.

Ira G SchulmanCenter for Molecular Design and Department of Pharmacology, University of Virginia Health System, 1340 Jefferson Park Avenue, Charlottesville, VA 22908, USA. igs4c@virginia.edu

Funding

Subtype Specific LXR Activity Limits AtherosclerosisR01HL096864 · NHLBI · UNIVERSITY OF VIRGINIA · PI SCHULMAN, IRA G · 2010 to 2013
$1.5M
NHLBI NIH HHS 1R01HL096864-01A1NHLBI NIH HHS R01 HL096864
6 · The paper itself

Abstract

Nuclear hormone receptors comprise a superfamily of ligand-activated transcription factors that control development, differentiation, and homeostasis. Over the last 15 years a growing number of nuclear receptors have been identified that coordinate genetic networks regulating lipid metabolism and energy utilization. Several of these receptors directly sample the levels of metabolic intermediates including fatty acids and cholesterol derivatives and use this information to regulate the synthesis, transport, and breakdown of the metabolite of interest. In contrast, other family members sense metabolic activity via the presence or absence of interacting proteins. The ability of these nuclear receptors to impact metabolism will be discussed and the challenges facing drug discovery efforts for this class of targets will be highlighted.

Indexed as

Molecular Targeted TherapyAnimalsDrug DiscoveryEnergy MetabolismHumansLigandsLipid MetabolismLiver X ReceptorsMetabolic DiseasesNeoplasmsOrphan Nuclear ReceptorsPeroxisome Proliferator-Activated ReceptorsReceptors, Cytoplasmic and NuclearSignal TransductionLigandsLiver X ReceptorsOrphan Nuclear ReceptorsPeroxisome Proliferator-Activated ReceptorsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID20655343
PMCPMC2987515

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.