ReviewInternational journal of molecular sciences2019
Potential Utility of Biased GPCR Signaling for Treatment of Psychiatric Disorders.
Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- Boolean Modeling of Biological Network Applied to Protein-Protein Interaction Network of Autism Patients.Biology · 2024Article
- Potential of olfactory neuroepithelial cells as a model to study schizophrenia: A focus on GPCRs (Review).International journal of molecular medicine · 2024Review
- Nicotine Exposure in a Phencyclidine-Induced Mice Model of Schizophrenia: Sex-Selective Medial Prefrontal Cortex Protein Markers of the Combined Insults in Adolescent Mice.International journal of molecular sciences · 2023Article
- Schizophrenia: A Narrative Review of Etiopathogenetic, Diagnostic and Treatment Aspects.Journal of clinical medicine · 2022Article
- α-Arrestins and Their Functions: From Yeast to Human Health.International journal of molecular sciences · 2022Review
- Insights into the Promising Prospect of G Protein and GPCR-Mediated Signaling in Neuropathophysiology and Its Therapeutic Regulation.Oxidative medicine and cellular longevity · 2022Review
- Phosphorylation of NF-κBp65 drives inflammation-mediated hepatocellular carcinogenesis and is a novel therapeutic target.Journal of experimental & clinical cancer research : CR · 2021Article
- Aripiprazole Lauroxil, a Novel Injectable Long-Acting Antipsychotic Treatment for Adults with Schizophrenia: A Comprehensive Review.Neurology international · 2021Review
- Amino Acid-Induced Impairment of Insulin Signaling and Involvement of G-Protein Coupling Receptor.Nutrients · 2021Review
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- Review
- Review
- Biased Ligands Differentially Shape the Conformation of the Extracellular Loop Region in 5-HTInternational journal of molecular sciences · 2020Article
- Non-Functional Trace Amine-Associated Receptor 1 Variants in Patients With Mental Disorders.Frontiers in pharmacology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tremendous advances have been made recently in the identification of genes and signaling pathways associated with the risks for psychiatric disorders such as schizophrenia and bipolar disorder. However, there has been a marked reduction in the pipeline for the development of new psychiatric drugs worldwide, mainly due to the complex causes that underlie these disorders. G-protein coupled receptors (GPCRs) are the most common targets of antipsychotics such as quetiapine and aripiprazole, and play pivotal roles in controlling brain function by regulating multiple downstream signaling pathways. Progress in our understanding of GPCR signaling has opened new possibilities for selective drug development. A key finding has been provided by the concept of biased ligands, which modulate some, but not all, of a given receptor's downstream signaling pathways. Application of this concept raises the possibility that the biased ligands can provide therapeutically desirable outcomes with fewer side effects. Instead, this application will require a detailed understanding of the mode of action of antipsychotics that drive distinct pharmacologies. We review our current understanding of the mechanistic bases for multiple signaling modes by antipsychotics and the potential of the biased modulators to treat mental disorders.
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Registered trials
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.