Evidence map›Paper›PMID 28164071›Full record

ReviewAnnals of pediatric endocrinology & metabolism2016

Transcriptional coordination of hepatic autophagy by nutrient-sensing nuclear receptor PPARα and FXR.

Jae Man Lee

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of pediatric endocrinology & metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Application ofInternational journal of molecular sciences · 2023
    Review
  4. Article
  5. Transcriptional Control ofInternational journal of molecular sciences · 2022
    Article
  6. Review
  7. Multi-Target Approaches in Metabolic Syndrome.Frontiers in pharmacology · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. [Research progress on the involvement of nuclear receptor in regulating autophagy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2018
    Review
  12. 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

1 author at 1 institution in 1 country.

Jae Man LeeDepartment of Biochemistry and Cell Biology, Cell and Matrix Research Institute, Kyungpook National University School of Medicine, Daegu, Korea.; BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Sicence, Kyungpook National University School of Medicine, Daegu, Korea.ORCID 0000-0003-2707-5136
Kyungpook National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear receptors are in general ligand-dependent transcription factors that control a variety of mammalian physiologies including development, differentiation, proliferation, and homeostasis. Recent studies have found that two nutrient-sensing nuclear receptors, peroxisome proliferator-activated receptor α and farnesoid x receptor, responding to fasting or feeding state, respectively are able to regulate autophagy, an evolutionarily conserved catabolic process involved in lysosomal degradation. In this review, we discuss the role of these nutrient-sensing nuclear receptors in an aspect of transcriptional regulation of autophagy, and how these nuclear receptor-driven transcriptional programs integrate lipophagy, a lipid autophagy with fatty acid oxidation to coordinate hepatic lipid metabolism in the fasted state of the liver.

Indexed as

AutophagyNonalcoholic fatty liver diseaseNonalcoholic steatohepatitisNuclear receptorTranscription

Identifiers

PMID28164071
PMCPMC5290173
OpenAlexW2584791521

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.