Evidence map›Paper›PMID 24339733›Full record

ReviewInternational journal of biological sciences2013

The regulation of the autophagic network and its implications for human disease.

Jing Yang, Serena Carra, Wei-Guo Zhu, Harm H Kampinga

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 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. Review
  2. Article
  3. Regulation of alveolar macrophage death in pulmonary fibrosis: a review.Apoptosis : an international journal on programmed cell death · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. COPD-Related Modification to the Airway Epithelium Permits Intracellular Residence of NontypeableInternational journal of chronic obstructive pulmonary disease · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. The role of C/EBP-α expression in human liver and liver fibrosis and its relationship with autophagy.International journal of clinical and experimental pathology · 2015
    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

4 authors.

Jing Yang1. Department of Cell Biology; University Medical Center Groningen, University of Groningen; Groningen, The Netherlands. ; 2. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education); Department of Biochemistry and Molecular Biology; Peking University Health Science Center, Beijing 100191, China;
Serena Carra
Wei-Guo Zhu
Harm H Kampinga

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy has attracted a lot of attention in recent years. More and more proteins and signaling pathways have been discovered that somehow feed into the autophagy regulatory pathways. Regulation of autophagy is complex and condition-specific, and in several diseases, autophagic fluxes are changed. Here, we review the most well-established concepts in this field as well as the reported signaling pathways or components which steer the autophagy machinery. Furthermore, we will highlight how autophagic fluxes are changed in various diseases either as cause for or as response to deal with an altered cellular homeostasis and how modulation of autophagy might be used as potential therapy for such diseases.

Indexed as

AutophagyDiseaseHumansSignal TransductionATGsAutophagyFOXO1Heat Shock Proteins (HSP)HSF1Human diseases.mTORUPR

Identifiers

PMID24339733
PMCPMC3858585

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.