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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2019-12-01
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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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