Application of SWATH mass spectrometry in the identification of circulating proteins does not predict future weight gain in early psychosis

Adrian Heald, Narges Azadbakht, Bethany Geary, Silke Conen, Helene Fachim, Dave Chi Hoo Lee, Nophar Geifman, Sanam Farman, Oliver Howes, Anthony Whetton, Bill Deakin

Research output: Contribution to journalLetterpeer-review

4 Scopus citations

Abstract

Weight gain is a common consequence of treatment with antipsychotic drugs in early psychosis, leading to further morbidity and poor treatment adherence. Identifying tools that can predict weight change in early psychosis may contribute to better-individualised treatment and adherence. Recently we showed that proteomic profiling with sequential window acquisition of all theoretical fragment ion spectra (SWATH) mass spectrometry (MS) can identify individuals with pre-diabetes more likely to experience weight change in relation to lifestyle change. We investigated whether baseline proteomic profiles predicted weight change over time using data from the BeneMin clinical trial of the anti-inflammatory antibiotic, minocycline, versus placebo. Expression levels for 844 proteins were determined by SWATH proteomics in 83 people (60 men and 23 women). Hierarchical clustering analysis and principal component analysis of baseline proteomics data did not reveal distinct separation between the proteome profiles of participants in different weight change categories. However, individuals with the highest weight loss had higher Positive and Negative Syndrome Scale (PANSS) scores. Our findings imply that mode of treatment i.e. the pharmacological intervention for psychosis may be the determining factor in weight change after diagnosis, rather than predisposing proteomic dynamics.

Original languageEnglish
Article number38
JournalClinical Proteomics
Volume17
Issue number1
DOIs
StatePublished - 1 Dec 2020
Externally publishedYes

Keywords

  • Molecular approaches
  • SWATH MS
  • Schizophrenia
  • Weight change

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Clinical Biochemistry

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