Evidence map›Paper›PMID 29663887›Full record

ReviewCurrent neuropharmacology2018

The Role of IRE1 Signaling in the Central Nervous System Diseases.

Haibo Ni, Qin Rui, Di Li, Rong Gao, Gang Chen

Abstract readReview
In one paragraph

Review in Current neuropharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Metabolites · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. ER-Phagy: A New Regulator of ER Homeostasis.Frontiers in cell and developmental biology · 2021
    Review
  14. Article
  15. 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

5 authors.

Haibo NiDepartment of Neurosurgery, The First People`s Hospital of Zhangjiagang City, Suzhou, Jiangsu, China.
Qin RuiDepartment of Laboratory, The First People`s Hospital of Zhangjiagang City, Suzhou, Jiangsu, China.
Di LiDepartment of Translational Medicine Center, The First People`s Hospital of Zhangjiagang City, Suzhou, Jiangsu, China.
Rong GaoDepartment of Neurosurgery, The First People`s Hospital of Zhangjiagang City, Suzhou, Jiangsu, China.
Gang ChenDepartment of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accumulation of misfolded or unfolded proteins in endoplasmic reticulum (ER) lumen results in the activation of an adaptive stress process called the unfolded protein response (UPR). As the most conserved signaling branch of the UPR, Inositol-requiring enzyme 1 (IRE1) possesses both Ser/Thr kinase and RNase activities operating as major stress sensors, mediating both adaptive and pro-apoptotic pathways under ER stress. Over the last three decades, a mounting body of evidence has shown that IRE1 signaling dysfunction is involved in the pathology of various neurological disorders. Targeting this pathway has emerged as a promising therapeutic strategy against these diseases. In this review, we provide a general overview about the expression and physiological function of IRE1 signaling and its pathophysiological roles in the central nervous system diseases.

Indexed as

AnimalsCentral Nervous System DiseasesEndoribonucleasesHumansProtein Serine-Threonine KinasesSignal TransductionEndoribonucleasesProtein Serine-Threonine KinasesAlzheimer`s diseasecentral nervous systemdiseasesInositol-requiring enzyme 1ischemic stroke.Parkinson`s diseaseX box-binding protein 1

Identifiers

PMID29663887
PMCPMC6251047

What OpenQuestion holds

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Registered trials

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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.