title: Identification of blood-based molecular signatures for prediction of response and relapse in schizophrenia patients.
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.
authors: Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK. es404@cam.ac.uk
authors: E
authors: E
authors: Schwarz
authors: P C
authors: PC
authors: Guest
authors: J
authors: J
authors: Steiner
authors: B
authors: B
authors: Bogerts
authors: S
authors: S
authors: Bahn
mesh_terms: D000328:Adult; D014150:Antipsychotic Agents / Q000009:adverse effects / Q000627:therapeutic use*; D015415:Biomarkers / Q000097:blood*; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D003430:Cross-Sectional Studies; D005260:Female; D005293:Ferritins / Q000097:blood; D006801:Humans; D019410:Interleukin-16 / Q000097:blood; D008297:Male; D008875:Middle Aged; D009211:Myoglobin / Q000097:blood; D011388:Prolactin / Q000097:blood; D040901:Proteomics; D011569:Psychiatric Status Rating Scales; D012008:Recurrence; D012307:Risk Factors; D012559:Schizophrenia / Q000175:diagnosis / Q000188:drug therapy* / Q000235:genetics*; D016896:Treatment Outcome
chemical_list: D014150:Antipsychotic Agents; D015415:Biomarkers; D019410:Interleukin-16; D009211:Myoglobin; D011388:Prolactin; D002097:C-Reactive Protein; D005293:Ferritins