Evidence map›Paper›PMID 40656095›Full record

ArticleNeuroscience applied2024

Biomarkers of treatment-resistant schizophrenia: A systematic review.

Claudia Pisanu, Giovanni Severino, Alessandra Minelli, Mara Dierssen, Marie-Claude Potier, Chiara Fabbri, Alessandro Serretti, Massimo Gennarelli, European College of Neuropsychopharmacology (ECNP) Pharmacogenomics & Transcriptomics Network, Bernhard T Baune and 1 more

Abstract read
In one paragraph

Article in Neuroscience applied, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Claudia PisanuDepartment of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
Giovanni SeverinoDepartment of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
Alessandra MinelliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Mara DierssenCenter for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Marie-Claude PotierParis Brain Institute ICM, Salpetriere Hospital, Paris, France.
Chiara FabbriDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
Alessandro SerrettiDepartment of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
Massimo GennarelliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
European College of Neuropsychopharmacology (ECNP) Pharmacogenomics & Transcriptomics Network
Bernhard T BauneDepartment of Psychiatry, University of Münster, Germany.
Alessio SquassinaDepartment of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment-resistant schizophrenia (TRS) is associated with great disability, functional impairment, and substantial socioeconomic costs. While clozapine is indicated in patients with TRS, its use is restricted to patients who have not responded to at least 2 other antipsychotics, thus implying a series of empirical trials of different drugs before receiving effective treatment. In this scenario, the identification of reliable biological markers to predict the risk for TRS before starting pharmacological treatments might significantly improve the management of TRS in its early stages. We conducted a systematic review on PubMed, Scopus and Web of Science to identify studies investigating peripheral biological markers of TRS. A total of 75 articles were included. These studies mostly investigated the association between TRS and genetic markers (n = 42, of which 16 with a genome-wide and 25 with a candidate-gene design) and protein/metabolite markers (n = 23), while only a minority of studies investigated RNA markers (n = 5), methylation levels (n = 4), gut microbiota profiles (n = 1), or more than one type of marker (n = 3). The elucidation of peripheral biomarkers of TRS is challenging due to the large heterogeneity across studies in terms of clinical definition of TRS, the relatively small sample size of many studies, as well as the lack of powered studies integrating data at a multi-omic level. Nonetheless, available studies suggest TRS to be a trait with a significant heritability and point to inflammation and cytokine imbalance as the most promising pathways involved in this complex phenotype.

Indexed as

BiomarkersGWASIL-6InflammationInterleukin 6MethylationPersonalized medicinePrecision medicinePrecision psychiatryRNA

Identifiers

PMID40656095
PMCPMC12243982

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.