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Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort
FOISELLE, Marianne
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
GODIN, Ophelia
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
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Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
FOISELLE, Marianne
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
GODIN, Ophelia
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
Hôpital Henri Mondor
Fondation FondaMental [Créteil]
IMRB - "Neuropsychiatrie translationnelle" [Créteil] [U955 Inserm - UPEC]
ANDRE, Myrtille
Centre Hospitalier Régional Universitaire [Montpellier] [CHRU Montpellier]
Fondation FondaMental [Créteil]
Centre Hospitalier Régional Universitaire [Montpellier] [CHRU Montpellier]
Fondation FondaMental [Créteil]
BERNA, Fabrice
Neuropsychologie Cognitive et Physiopathologie de la Schizophrénie [NCPS]
Fondation FondaMental [Créteil]
Neuropsychologie Cognitive et Physiopathologie de la Schizophrénie [NCPS]
Fondation FondaMental [Créteil]
CAPDEVIELLE, Delphine
Centre Hospitalier Régional Universitaire [Montpellier] [CHRU Montpellier]
Fondation FondaMental [Créteil]
Centre Hospitalier Régional Universitaire [Montpellier] [CHRU Montpellier]
Fondation FondaMental [Créteil]
VIDAILHET, Pierre
Neuropsychologie Cognitive et Physiopathologie de la Schizophrénie [NCPS]
Fondation FondaMental [Créteil]
Neuropsychologie Cognitive et Physiopathologie de la Schizophrénie [NCPS]
Fondation FondaMental [Créteil]
CHEREAU, Isabelle
Fondation FondaMental [Créteil]
Neuro-Psycho Pharmacologie des Systèmes Dopaminergiques sous-corticaux [NPsy-Sydo]
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Fondation FondaMental [Créteil]
Neuro-Psycho Pharmacologie des Systèmes Dopaminergiques sous-corticaux [NPsy-Sydo]
Langue
EN
Article de revue
Ce document a été publié dans
Brain, Behavior, and Immunity - Health. 2022-07, vol. 22
Résumé en anglais
Background: Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component ...Lire la suite >
Background: Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method: A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results: Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion: We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific “immuno-metabolic” profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry. © 2022 The Authors< Réduire
Mots clés en anglais
Metabolic syndrome
Schizophrenia
Psychosis
Inflammation
Machine learning
Precision medicine
Project ANR
Immuno-Génétique, Inflammation, retro-Virus, Environnement : de l'étiopathogénie des troubles psychotiques aux modèles animaux
Réseau d'Innovation sur les Voies de Signalisation en Sciences de la Vie
Réseau d'Innovation sur les Voies de Signalisation en Sciences de la Vie
Unités de recherche