Evidence map›Paper›PMID 22028701›Full record

SynthesisExperimental diabetes research2012

Autophagy as a therapeutic target in diabetic nephropathy.

Yuki Tanaka, Shinji Kume, Munehiro Kitada, Keizo Kanasaki, Takashi Uzu, Hiroshi Maegawa, Daisuke Koya

Abstract readSystematic Review
In one paragraph

Synthesis in Experimental diabetes research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. The role of extracellular vesicles in podocyte autophagy in kidney disease.Journal of cell communication and signaling · 2021
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Autophagy in diabetic nephropathy: a review.International urology and nephrology · 2020
    Review
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Yuki TanakaDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan.
Shinji Kume
Munehiro Kitada
Keizo Kanasaki
Takashi Uzu
Hiroshi Maegawa
Daisuke Koya

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy is a serious complication of diabetes mellitus, and its prevalence has been increasing worldwide. Therefore, there is an urgent need to identify a new therapeutic target to prevent diabetic nephropathy. Autophagy is a major catabolic pathway involved in degrading and recycling macromolecules and damaged organelles to maintain intracellular homeostasis. The study of autophagy in mammalian systems is advancing rapidly and has revealed that it is involved in the pathogenesis of various metabolic or age-related diseases. The functional role of autophagy in the kidneys is also currently under intense investigation although, until recently, evidence showing the involvement of autophagy in the pathogenesis of diabetic nephropathy has been limited. We provide a systematic review of autophagy and discuss the therapeutic potential of autophagy in diabetic nephropathy to help future investigations in this field.

Indexed as

AutophagyAMP-Activated Protein KinasesAnimalsDiabetic NephropathiesEndoplasmic ReticulumHomeostasisHumansHypoxiaKidneyMiceMicroscopy, ElectronNephronsOxidative StressPrevalenceReactive Oxygen SpeciesSirtuin 1AMP-Activated Protein KinasesReactive Oxygen SpeciesSIRT1 protein, humanSirtuin 1TOR Serine-Threonine Kinases

Identifiers

PMID22028701
PMCPMC3199112

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.