Cited by 92Schizophrenia research and treatmentTryptophan and brain disordersMental Health and Psychiatry

Identification of blood-based molecular signatures for prediction of response and relapse in schizophrenia patients

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Schwarz, E, Guest, P C, Steiner, J, Bogerts, B, Bahn, S·2012·Translational Psychiatry

Abstract

The current inability of psychiatric medicine to objectively select the most appropriate treatment or to predict imminent relapse are major factors contributing to the severity and clinical burden of schizophrenia. We have previously used multiplexed immunoassays to show that schizophrenia patients have a distinctive molecular signature in serum compared with healthy control subjects. In the present study, we used the same approach to measure biomarkers in a population of 77 schizophrenia patients who were followed up over 25 months with four aims: (1) to identify molecules associated with symptom severity in antipsychotic naive and unmedicated patients, (2) to determine biomarker signatures that could predict response over a 6-week treatment period, (3) to identify molecular panels that could predict the time to relapse in a cross-sectional population of patients in remission and (4) to investigate how the biological relapse signature changed throughout the treatment course. This led to identification of molecular signatures that could predict symptom improvement over the first 6 weeks of treatment as well as predict time to relapse in a subset of 18 patients who experienced recurrence of symptoms. This study provides the groundwork for the development of novel objective clinical tests that can help psychiatrists in the clinical management of schizophrenia.

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  • Interleukin 16 protein levels have been reported to be altered in serum samples of MDD patients and to be associated with symptom severity in schizophrenia.

    “interleukin 16 protein levels have been reported to be altered in a molecular profiling study on serum samples of MDD patients (Stelzhammer et al., 2014) and to be associated with symptom severity in schizophrenia (Schwarz et al., 2012).”

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Authors
Schwarz, E., Guest, P. C., Steiner, J., Bogerts, B., & Bahn, S.
Affiliations
  • University of Cambridge (GB)
  • Otto-von-Guericke-Universität Magdeburg (DE)
Corresponding author
  • Schwarz, E
  • Bahn, S
Venue
Translational Psychiatry
Published
2012-02-21
Volume
2
Issue
2
Pages
e82-e82
ISSN
2158-3188 (ISSN-L)
OpenAlex
W2038358884
Cited by
91
References
31
Citations by year
2026: 1 · 2025: 3 · 2024: 9 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 10 · 2017: 12 · 2016: 7 · 2015: 10 · 2014: 8 · 2013: 7 · 2012: 2
FWCI
6.15
Type
journal article
Language
en
Open access
Locations
  • Translational Psychiatry (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
Funders
  • Stanley Medical Research Institute
  • European Commission (223427)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
  • Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords
schizophrenia, serum biomarkers, treatment response prediction, recurrence prediction, symptom severity, antipsychotic-naive patients, multiplex immunoassay, biomarker panel, treatment course
MeSH terms
Adult, C-Reactive Protein, Cross-Sectional Studies, Female, Ferritins, Humans, Male, Middle Aged, Myoglobin, Prolactin, Psychiatric Status Rating Scales, Recurrence, Risk Factors, Schizophrenia, Antipsychotic Agents, Biomarkers, Body Mass Index, Treatment Outcome, Interleukin-16, Proteomics

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