Evidence map›Paper›PMID 36430158›Full record

ReviewInternational journal of molecular sciences2022

Ferroptosis Signaling in Pancreatic β-Cells: Novel Insights & Therapeutic Targeting.

Suma Elumalai, Udayakumar Karunakaran, Jun-Sung Moon, Kyu-Chang Won

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Diabetic neuropathy: A NRF2 disease?Journal of diabetes · 2024
    Review
  8. Article
  9. 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 at 1 institution in 1 country.

Suma ElumalaiInnovative Center for Aging Research, Yeungnam University Medical Center, Daegu 42415, Korea.
Udayakumar KarunakaranInnovative Center for Aging Research, Yeungnam University Medical Center, Daegu 42415, Korea.
Jun-Sung MoonInnovative Center for Aging Research, Yeungnam University Medical Center, Daegu 42415, Korea.ORCID 0000-0003-1569-3068
Kyu-Chang WonInnovative Center for Aging Research, Yeungnam University Medical Center, Daegu 42415, Korea.ORCID 0000-0001-5945-3395
Yeungnam University Medical Center · KR

Funding

National Research Foundation of Korea NRF-2020R1A2C1003649National Research Foundation of Korea NRF-2020R1A2C4002626
6 · The paper itself

Abstract

Metabolic stress impairs pancreatic β-cell survival and function in diabetes. Although the pathophysiology of metabolic stress is complex, aberrant tissue damage and β-cell death are brought on by an imbalance in redox equilibrium due to insufficient levels of endogenous antioxidant expression in β-cells. The vulnerability of β-cells to oxidative damage caused by iron accumulation has been linked to contributory β-cell ferroptotic-like malfunction under diabetogenic settings. Here, we take into account recent findings on how iron metabolism contributes to the deregulation of the redox response in diabetic conditions as well as the ferroptotic-like malfunction in the pancreatic β-cells, which may offer insights for deciphering the pathomechanisms and formulating plans for the treatment or prevention of metabolic stress brought on by β-cell failure.

Indexed as

FerroptosisInsulin-Secreting CellsIronOxidative StressSignal TransductionIrondiabetesferroptosisironNADPH oxidaseoxidative stressreactive oxygen species

Identifiers

PMID36430158
PMCPMC9690757
OpenAlexW4308581860

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.