Evidence map›Paper›PMID 32170713›Full record

ArticleJournal of molecular neuroscience : MN2020

Targeting Inflammation, PHA-767491 Shows a Broad Spectrum in Protein Aggregation Diseases.

Yu-Han Chung, Chia-Wei Lin, Hsin-Yu Huang, Shu-Ling Chen, Hei-Jen Huang, Ying-Chieh Sun, Guan-Chiun Lee, Guey-Jen Lee-Chen, Ya-Ching Chang, Hsiu Mei Hsieh-Li

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular neuroscience : MN, 2020. 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 17% 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, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Metal Nanoparticles in Alzheimer's Disease.Journal of Alzheimer's disease reports · 2023
    Review
  7. Review
  8. UsingFrontiers in pharmacology · 2022
    Review
  9. Review
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

10 authors at 3 institutions in 1 country.

Yu-Han ChungDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Chia-Wei LinDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Hsin-Yu HuangDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Shu-Ling ChenDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Hei-Jen HuangDepartment of Nursing, Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan.
Ying-Chieh SunDepartment of Chemistry, National Taiwan Normal University, Taipei, Taiwan.
Guan-Chiun LeeDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Guey-Jen Lee-ChenDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Ya-Ching ChangDepartment of Pharmacy, Taiwan Adventist Hospital, Taipei, Taiwan. 147943@tahsda.org.tw.
Hsiu Mei Hsieh-LiDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan. hmhsieh@ntnu.edu.tw.
National Taiwan Normal University · TWMackay Junior College of Medicine, Nursing and Management · TWTaiwan Adventist Hospital · TW

Funding

Ministry of Science and Technology, Taiwan MOST 104-2320-B-003-009-MY3Ministry of Science and Technology, Taiwan MOST 107-2320-B-003-007Ministry of Science and Technology, Taiwan MOST 107-2320-B-003-009
6 · The paper itself

Abstract

Many protein aggregation diseases (PAD) affect the nervous system. Deposits of aggregated disease-specific proteins are found within or around the neuronal cells of neurodegenerative diseases. Although the main protein component is disease-specific, oligomeric aggregates are presumed to be the key agents causing the neurotoxicity. Evidence has shown that protein aggregates cause a chronic inflammatory reaction in the brain, resulting in neurodegeneration. Therefore, strategies targeting anti-inflammation could be beneficial to the therapeutics of PAD. PHA-767491 was originally identified as an inhibitor of CDC7/CDK9 and was found to reduce TDP-43 phosphorylation and prevent neurodegeneration in TDP-43 transgenic animals. We recently identified PHA-767491 as a GSK-3β inhibitor. In this study, we established mouse hippocampal primary culture with tau-hyperphosphorylation through the activation of GSK-3β using Wortmannin and GF109203X. We found that PHA-767491 significantly improved the neurite outgrowth of hippocampal primary neurons against the neurotoxicity induced by GSK-3β. We further showed that PHA-767491 had neuroprotective ability in hippocampal primary culture under oligomeric Aβ treatment. In addition, PHA-767491 attenuated the neuroinflammation in mouse cerebellar slice culture with human TBP-109Q agitation. Further study of SCA17 transgenic mice carrying human TBP-109Q showed that PHA-767491 ameliorated the gait ataxia and the inflammatory response both centrally and peripherally. Our findings suggest that PHA-767491 has a broad spectrum of activity in the treatment of different PAD and that this activity could be based on the anti-inflammation mechanism.

Indexed as

Amyloid beta-PeptidesAnimalsAnti-Inflammatory AgentsCell Cycle ProteinsCells, CulturedCerebellumCyclin-Dependent Kinase 9DNA-Binding ProteinsHippocampusHumansMiceMice, Inbred C57BLNeuronsNeuroprotective AgentsPiperidonesProtein Aggregation, PathologicalAmyloid beta-PeptidesAnti-Inflammatory AgentsCdc7 protein, mouseCdk9 protein, mouseCell Cycle ProteinsCyclin-Dependent Kinase 9DNA-Binding ProteinsNeuroprotective AgentsPHA 767491PiperidonesProtein Kinase InhibitorsProtein Serine-Threonine KinasesPyrrolesTardbp protein, mouseGSK-3β inhibitorInflammationPHA-767491Protein aggregation diseases

Identifiers

PMID32170713
OpenAlexW3011893586

What OpenQuestion holds

Textmetadata
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.