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Revisiting Antipsychotic Drug Actions Through Gene Networks Associated With Schizophrenia.
Kauppi, Karolina; Rosenthal, Sara Brin; Lo, Min-Tzu; Sanyal, Nilotpal; Jiang, Mian; Abagyan, Ruben; McEvoy, Linda K; Andreassen, Ole A; Chen, Chi-Hua.
  • Kauppi K; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Rosenthal SB; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Lo MT; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Sanyal N; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Jiang M; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Abagyan R; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • McEvoy LK; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Andreassen OA; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
  • Chen CH; From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå U
Am J Psychiatry ; 175(7): 674-682, 2018 07 01.
Article en En | MEDLINE | ID: mdl-29495895
ABSTRACT

OBJECTIVE:

Antipsychotic drugs were incidentally discovered in the 1950s, but their mechanisms of action are still not understood. Better understanding of schizophrenia pathogenesis could shed light on actions of current drugs and reveal novel "druggable" pathways for unmet therapeutic needs. Recent genome-wide association studies offer unprecedented opportunities to characterize disease gene networks and uncover drug-disease relationships. Polygenic overlap between schizophrenia risk genes and antipsychotic drug targets has been demonstrated, but specific genes and pathways constituting this overlap are undetermined. Risk genes of polygenic disorders do not operate in isolation but in combination with other genes through protein-protein interactions among gene product.

METHOD:

The protein interactome was used to map antipsychotic drug targets (N=88) to networks of schizophrenia risk genes (N=328).

RESULTS:

Schizophrenia risk genes were significantly localized in the interactome, forming a distinct disease module. Core genes of the module were enriched for genes involved in developmental biology and cognition, which may have a central role in schizophrenia etiology. Antipsychotic drug targets overlapped with the core disease module and comprised multiple pathways beyond dopamine. Some important risk genes like CHRN, PCDH, and HCN families were not connected to existing antipsychotics but may be suitable targets for novel drugs or drug repurposing opportunities to treat other aspects of schizophrenia, such as cognitive or negative symptoms.

CONCLUSIONS:

The network medicine approach provides a platform to collate information of disease genetics and drug-gene interactions to shift focus from development of antipsychotics to multitarget antischizophrenia drugs. This approach is transferable to other diseases.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Antipsicóticos / Redes Reguladoras de Genes Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Antipsicóticos / Redes Reguladoras de Genes Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article