Evidence map›Paper›PMID 30129636›Full record

ReviewHepatology communications2018

Nuclear receptors and liver disease: Summary of the 2017 basic research symposium.

Melanie Tran, Yanjun Liu, Wendong Huang, Li Wang

Open access · goldAbstract readReview
In one paragraph

Review in Hepatology communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Sexual dimorphism in the liver.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Non-coding RNA crosstalk with nuclear receptors in liver disease.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Lysine methylation signaling of non-histone proteins in the nucleus.Cellular and molecular life sciences : CMLS · 2019
    Review
  11. 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

4 authors at 2 institutions in 1 country.

Melanie TranDepartment of Physiology and Neurobiology and Institute for Systems Genomics, University of Connecticut, Storrs, CT.
Yanjun LiuDepartment of Diabetes Complications and Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute City of Hope National Medical Center Duarte CA.
Wendong HuangDepartment of Diabetes Complications and Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute City of Hope National Medical Center Duarte CA.
Li WangDepartment of Physiology and Neurobiology and Institute for Systems Genomics, University of Connecticut, Storrs, CT.
City Of Hope National Medical Center · USUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nuclear receptor superfamily contains important transcriptional regulators that play pleiotropic roles in cell differentiation, development, proliferation, and metabolic processes to govern liver physiology and pathology. Many nuclear receptors are ligand-activated transcription factors that regulate the expression of their target genes by modulating transcriptional activities and epigenetic changes. Additionally, the protein complex associated with nuclear receptors consists of a multitude of coregulators, corepressors, and noncoding RNAs. Therefore, acquiring new information on nuclear receptors may provide invaluable insight into novel therapies and shed light on new interventions to reduce the burden and incidence of liver diseases. (

Identifiers

PMID30129636
PMCPMC6049066
OpenAlexW2807794489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.