Omics in schizophrenia: current progress and future directions of antipsychotic treatments

Abstract. Schizophrenia is a life-long, complex mental illness that still lacks satisfactory treatments. In recent years, increasing numbers of candidate biomarkers of schizophrenia occurrences and drug responses to schizophrenia therapies have been successfully identified by many omics studies. Thi...

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Main Authors: Yidan Sun, Wei Zhou, Luan Chen, Cong Huai, Hailiang Huang, Lin He, Shengying Qin
Format: Article
Language:English
Published: Wolters Kluwer Health 2019-12-01
Series:Journal of Bio-X Research
Online Access:http://journals.lww.com/10.1097/JBR.0000000000000049
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spelling doaj-5c2360db713f40f9b969ee5546c7ff052020-11-25T03:42:46ZengWolters Kluwer HealthJournal of Bio-X Research2096-56722577-35852019-12-012414515210.1097/JBR.0000000000000049201912000-00001Omics in schizophrenia: current progress and future directions of antipsychotic treatmentsYidan SunWei ZhouLuan ChenCong HuaiHailiang HuangLin HeShengying QinAbstract. Schizophrenia is a life-long, complex mental illness that still lacks satisfactory treatments. In recent years, increasing numbers of candidate biomarkers of schizophrenia occurrences and drug responses to schizophrenia therapies have been successfully identified by many omics studies. This review discusses the latest discoveries regarding effective drug targets and relevant drug classifications in schizophrenia. It also assesses our understanding of biomarkers for drug efficacy and adverse drug reactions in current schizophrenia treatments using omics technologies. Future applications in clinical practice have been proposed based on these new findings, and are now considered highly promising strategies to better treat schizophrenia. Finally, we explore several novel approaches that aim to reveal additional genetic signatures of schizophrenia using multi-omics data, which are hoped to improve the diagnosis and treatment of this illness in the future.http://journals.lww.com/10.1097/JBR.0000000000000049
collection DOAJ
language English
format Article
sources DOAJ
author Yidan Sun
Wei Zhou
Luan Chen
Cong Huai
Hailiang Huang
Lin He
Shengying Qin
spellingShingle Yidan Sun
Wei Zhou
Luan Chen
Cong Huai
Hailiang Huang
Lin He
Shengying Qin
Omics in schizophrenia: current progress and future directions of antipsychotic treatments
Journal of Bio-X Research
author_facet Yidan Sun
Wei Zhou
Luan Chen
Cong Huai
Hailiang Huang
Lin He
Shengying Qin
author_sort Yidan Sun
title Omics in schizophrenia: current progress and future directions of antipsychotic treatments
title_short Omics in schizophrenia: current progress and future directions of antipsychotic treatments
title_full Omics in schizophrenia: current progress and future directions of antipsychotic treatments
title_fullStr Omics in schizophrenia: current progress and future directions of antipsychotic treatments
title_full_unstemmed Omics in schizophrenia: current progress and future directions of antipsychotic treatments
title_sort omics in schizophrenia: current progress and future directions of antipsychotic treatments
publisher Wolters Kluwer Health
series Journal of Bio-X Research
issn 2096-5672
2577-3585
publishDate 2019-12-01
description Abstract. Schizophrenia is a life-long, complex mental illness that still lacks satisfactory treatments. In recent years, increasing numbers of candidate biomarkers of schizophrenia occurrences and drug responses to schizophrenia therapies have been successfully identified by many omics studies. This review discusses the latest discoveries regarding effective drug targets and relevant drug classifications in schizophrenia. It also assesses our understanding of biomarkers for drug efficacy and adverse drug reactions in current schizophrenia treatments using omics technologies. Future applications in clinical practice have been proposed based on these new findings, and are now considered highly promising strategies to better treat schizophrenia. Finally, we explore several novel approaches that aim to reveal additional genetic signatures of schizophrenia using multi-omics data, which are hoped to improve the diagnosis and treatment of this illness in the future.
url http://journals.lww.com/10.1097/JBR.0000000000000049
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