Evidence map›Paper›PMID 36604602›Full record

ArticleMolecular psychiatry2023

A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psychosis onset subgroup.

Paolo Enrico, Giuseppe Delvecchio, Nunzio Turtulici, Rosario Aronica, Alessandro Pigoni, Letizia Squarcina, Filippo M Villa, Cinzia Perlini, Maria G Rossetti, Marcella Bellani and 17 more

Abstract read
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Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  6. Microglia-neuron interactions in schizophrenia.Frontiers in cellular neuroscience · 2024
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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

27 authors at 15 institutions in 2 countries.

Paolo Enrico *Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.ORCID 0000-0002-6497-2699
Giuseppe Delvecchio *Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Nunzio TurtuliciDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Rosario AronicaDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Alessandro PigoniDepartment of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0002-9122-5656
Letizia SquarcinaDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Filippo M VillaChild Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
Cinzia PerliniDepartment of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy.
Maria G RossettiDepartment of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Marcella BellaniDepartment of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.ORCID 0000-0003-1727-5396
Antonio LasalviaDepartment of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.
Chiara BonettoDepartment of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.
Paolo ScoccoDepartment of Mental Health, AULSS 6 Euganea, Padua, Italy.
Armando D'AgostinoDepartment of Health Sciences, San Paolo University Hospital, University of Milan, Milano, Milan, Italy.ORCID 0000-0002-2126-799X
Stefano TorresaniDepartment of Psychiatry, ULSS, Bolzano Suedtiroler Sanitaetbetrieb- Azienda Sanitaria dell'Alto Adige, Bolzano, Italy.
Massimiliano ImbesiDepartment of Psychiatry, AUSL Emilia, Reggio Emilia, Italy.
Francesca BelliniDepartment of Psychiatry, AUSL Romagna, Ravenna, Italy.
Angelo VeroneseDepartment of Mental Health, AULSS 6 Euganea, Padua, Italy.
Luisella Bocchio-ChiavettoFaculty of Psychology, eCampus University, Novedrate, Como, Italy.
Massimo GennarelliGenetics Unit, IRCCS Istituto Centro San Giovanni di Dio, Fatebenefratelli, Brescia, Italy.
Matteo BalestrieriDepartment of Medicine (DAME), University of Udine, Udine, Italy.
Gualtiero I ColomboCentro Cardiologico Monzino IRCCS, Immunology and Functional Genomics Unit, Milan, Italy.ORCID 0000-0002-7348-1939
Annamaria FinardiClinical Neuroimmunology Unit, Institute of Experimental Neurology, IRCCS Ospedale San Raffaele, Milano, Italy.
Mirella RuggeriDepartment of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.
Roberto FurlanClinical Neuroimmunology Unit, Institute of Experimental Neurology, IRCCS Ospedale San Raffaele, Milano, Italy.ORCID 0000-0001-7376-9425
Paolo BrambillaDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy. paolo.brambilla1@unimi.it.ORCID 0000-0002-4021-8456
GET UP Group
Azienda Ospedaliera Universitaria Integrata Verona · ITUniversity of Verona · ITAgenzia Sanitaria e Sociale Regionale · ITUniversity of Milan · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITCentro San Giovanni di Dio Fatebenefratelli · ITIRCCS Ospedale San Raffaele · ITAzienda Sanitaria Unità Locale di Reggio Emilia · ITAzienda Unità Sanitaria Locale Della Romagna · ITCentro Cardiologico Monzino · ITIMT School for Advanced Studies Lucca · ITIRCCS Eugenio Medea · ITOspedale di Bolzano · ITUniversità degli Studi eCampus · ITUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychosis onset is a transdiagnostic event that leads to a range of psychiatric disorders, which are currently diagnosed through clinical observation. The integration of multimodal biological data could reveal different subtypes of psychosis onset to target for the personalization of care. In this study, we tested the existence of subgroups of patients affected by first-episode psychosis (FEP) with a possible immunopathogenic basis. To do this, we designed a data-driven unsupervised machine learning model to cluster a sample of 127 FEP patients and 117 healthy controls (HC), based on the peripheral blood expression levels of 12 psychosis-related immune gene transcripts. To validate the model, we applied a resampling strategy based on the half-splitting of the total sample with random allocation of the cases. Further, we performed a post-hoc univariate analysis to verify the clinical, cognitive, and structural brain correlates of the subgroups identified. The model identified and validated two distinct clusters: 1) a FEP cluster characterized by the high expression of inflammatory and immune-activating genes (IL1B, CCR7, IL12A and CXCR3); 2) a cluster consisting of an equal number of FEP and HC subjects, which did not show a relative over or under expression of any immune marker (balanced subgroup). None of the subgroups was related to specific symptoms dimensions or longitudinal diagnosis of affective vs non-affective psychosis. FEP patients included in the balanced immune subgroup showed a thinning of the left supramarginal and superiorfrontal cortex (FDR-adjusted p-values < 0.05). Our results demonstrated the existence of a FEP patients' subgroup identified by a multivariate pattern of immunomarkers involved in inflammatory activation. This evidence may pave the way to sample stratification in clinical studies aiming to develop diagnostic tools and therapies targeting specific immunopathogenic pathways of psychosis.

Indexed as

BrainPsychotic DisordersBiomarkersHumansInflammationMachine LearningBiomarkers

Identifiers

PMID36604602
OpenAlexW4313648139

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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.