| Title |
Opposite Interplay Between the Canonical WNT/β-Catenin Pathway and PPAR Gamma: A Potential Therapeutic Target in Gliomas
|
|---|---|
| Published in |
Neuroscience Bulletin, March 2018
|
| DOI | 10.1007/s12264-018-0219-5 |
| Pubmed ID | |
| Authors |
Alexandre Vallée, Yves Lecarpentier, Rémy Guillevin, Jean-Noël Vallée |
| Abstract |
In gliomas, the canonical Wingless/Int (WNT)/β-catenin pathway is increased while peroxisome proliferator-activated receptor gamma (PPAR-γ) is downregulated. The two systems act in an opposite manner. This review focuses on the interplay between WNT/β-catenin signaling and PPAR-γ and their metabolic implications as potential therapeutic target in gliomas. Activation of the WNT/β-catenin pathway stimulates the transcription of genes involved in proliferation, invasion, nucleotide synthesis, tumor growth, and angiogenesis. Activation of PPAR-γ agonists inhibits various signaling pathways such as the JAK/STAT, WNT/β-catenin, and PI3K/Akt pathways, which reduces tumor growth, cell proliferation, cell invasiveness, and angiogenesis. Nonsteroidal anti-inflammatory drugs, curcumin, antipsychotic drugs, adiponectin, and sulforaphane downregulate the WNT/β-catenin pathway through the upregulation of PPAR-γ and thus appear to provide an interesting therapeutic approach for gliomas. Temozolomide (TMZ) is an antiangiogenic agent. The downstream action of this opposite interplay may explain the TMZ-resistance often reported in gliomas. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 13% |
| Professor > Associate Professor | 6 | 13% |
| Student > Bachelor | 6 | 13% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Other | 7 | 15% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 21% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Agricultural and Biological Sciences | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2018.
All research outputs
#18,594,219
of 23,031,582 outputs
Outputs from Neuroscience Bulletin
#497
of 783 outputs
Outputs of similar age
#256,671
of 330,380 outputs
Outputs of similar age from Neuroscience Bulletin
#6
of 12 outputs
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