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Consensus paper of the WFSBP Task Force on Biological Markers: Criteria for biomarkers and endophenotypes of schizophrenia, part III: Molecular mechanisms

Authors
Schmitt, AndreaMartins-de-Souza, DanielAkbarian, SchahramCassoli, Juliana S.Ehrenreich, HanneloreFischer, AndreFonteh, AlfredGattaz, Wagner F.Gawlik, MichaelGerlach, ManfredGrunblatt, EdnaHalene, TobiasHasan, AlkomietHashimoto, KenijKim, Yong-KuKirchner, Sophie-KathrinKornhuber, JohannesKraus, Theo F. J.Malchow, BerendNascimento, Juliana M.Rossner, MoritzSchwarz, MarkusSteiner, JohannTalib, LedaThibaut, FlorenceRiederer, PeterFalkai, Peter
Issue Date
2017
Publisher
TAYLOR & FRANCIS LTD
Keywords
Schizophrenia; biomarkers; proteomics; epigenetics; lipids
Citation
WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY, v.18, no.5, pp.330 - 356
Indexed
SCIE
SCOPUS
Journal Title
WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY
Volume
18
Number
5
Start Page
330
End Page
356
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/86482
DOI
10.1080/15622975.2016.1224929
ISSN
1562-2975
Abstract
Objectives: Despite progress in identifying molecular pathophysiological processes in schizophrenia, valid biomarkers are lacking for both the disease and treatment response. Methods: This comprehensive review summarises recent efforts to identify molecular mechanisms on the level of protein and gene expression and epigenetics, including DNA methylation, histone modifications and micro RNA expression. Furthermore, it summarises recent findings of alterations in lipid mediators and highlights inflammatory processes. The potential that this research will identify biomarkers of schizophrenia is discussed. Results: Recent studies have not identified clear biomarkers for schizophrenia. Although several molecular pathways have emerged as potential candidates for future research, a complete understanding of these metabolic pathways is required to reveal better treatment modalities for this disabling condition. Conclusions: Large longitudinal cohort studies are essential that pair a thorough phenotypic and clinical evaluation for example with gene expression and proteome analysis in blood at multiple time points. This approach might identify biomarkers that allow patients to be stratified according to treatment response and ideally also allow treatment response to be predicted. Improved knowledge of molecular pathways and epigenetic mechanisms, including their potential association with environmental influences, will facilitate the discovery of biomarkers that could ultimately be effective tools in clinical practice.
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