Biomarkers of treatment-resistant schizophrenia: A systematic review

Claudia Pisanu1, Giovanni Severino1, Alessandra Minelli2,3

  • 1Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.

Neuroscience Applied
|July 14, 2025
PubMed

Insights

Identifying reliable biological markers for treatment-resistant schizophrenia (TRS) is crucial. Research suggests TRS has significant heritability, with inflammation and cytokine imbalance being key pathways.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Treatment-resistant schizophrenia (TRS) leads to significant disability and socioeconomic costs.
  • Current treatment guidelines for TRS involve empirical trials before clozapine, delaying effective therapy.
  • Predictive biological markers could enable earlier and more effective management of TRS.

Purpose of the Study:

  • To systematically review existing literature on peripheral biological markers for treatment-resistant schizophrenia.
  • To identify promising biomarkers for predicting TRS risk and guiding early treatment.

Main Methods:

  • Systematic literature search across PubMed, Scopus, and Web of Science databases.
  • Inclusion of 75 articles investigating genetic, protein, metabolite, RNA, methylation, and gut microbiota markers.
  • Analysis of study designs, including genome-wide and candidate-gene approaches.

Main Results:

  • Genetic markers were the most frequently investigated (42 studies).
  • Protein/metabolite markers were also explored (23 studies), with fewer studies on RNA, methylation, or microbiota.
  • Significant heterogeneity in study definitions and sample sizes challenges biomarker elucidation.
  • Available data indicates substantial heritability of TRS and implicates inflammation and cytokine imbalance.

Conclusions:

  • Peripheral biomarkers for TRS are challenging to identify due to study heterogeneity.
  • Genetic factors and inflammatory pathways, including cytokine imbalance, are promising areas for TRS biomarker research.
  • Further large-scale, multi-omic studies are needed to validate potential biomarkers for early TRS detection and management.

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