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Evaluation of state and trait biomarkers in healthy volunteers for the development of novel drug treatments in schizophrenia.

Koychev, Ivan; Barkus, Emma; Ettinger, Ulrich; Killcross, Simon; Roiser, Jonathan P; Wilkinson, Lawrence; Deakin, Bill

Journal of psychopharmacology (Oxford, England). 2011;25(9):1207-25.

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Abstract

Antipsychotic drugs are the mainstay of treatment for schizophrenia but they have little effect on core negative symptoms or cognitive impairment. To meet the deficiencies of current treatments, novel potential compounds are emerging from preclinical research but translation to clinical success has been poor. This article evaluates the possibility that cognitive and physiological abnormalities in schizophrenia can be used as central nervous system biomarkers to predict, in healthy volunteers, the likely efficacy of entirely new pharmacological approaches to treatment. Early detection of efficacy would focus resource on rapidly developing, effective drugs. We review the relevance of selected cognitive and physiological abnormalities as biomarkers in schizophrenia and three of its surrogate populations: (i) healthy volunteers with high trait schizotypy; (ii) unaffected relatives of patients; and (iii) healthy volunteers in a state of cortical glutamate disinhibition induced by low-dose ketamine. Several biomarkers are abnormal in these groups and in some instances there has been exploratory work to determine their sensitivity to drug action. They are generally insensitive to current antipsychotics and therefore their predictive validity cannot be established until novel, therapeutically useful drugs are discovered. Until then such biomarker studies can provide evidence of drugs engaging with the mechanism of interest and encouragement of the concept.

Bibliographic metadata

Type of resource:
Content type:
Publication type:
Published date:
Abbreviated journal title:
ISSN:
Place of publication:
United States
Volume:
25
Issue:
9
Pagination:
1207-25
Digital Object Identifier:
10.1177/0269881111414450
Pubmed Identifier:
21994315
Pii Identifier:
25/9/1207
Access state:
Active

Institutional metadata

University researcher(s):
Academic department(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:177534
Created by:
Deakin, Bill
Created:
12th October, 2012, 14:42:03
Last modified by:
Deakin, Bill
Last modified:
12th October, 2012, 14:42:03

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