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Metabolic polygenic risk scores effect on antipsychotic-induced metabolic dysregulation: A longitudinal study in a first episode psychosis cohort

Authors :
Neurociencias
Neurozientziak
Segura, Alex G.
Martínez Pinteño, Albert
Gassó, Patricia
Rodríguez, Natalia
Cuesta, Manuel J.
González Peñas, Javier
García Rizo, Clemente
Lobo, Antonio
González Pinto Arrillaga, Ana María
García Alcón, Alicia
Roldán, Alexandra
Vieta, Eduard
Castro Fornieles, Josefina
Mané, Anna
Sáiz, Jerónimo
Bernardo, Miguel
Mas, Sergi
PEPs Group
Neurociencias
Neurozientziak
Segura, Alex G.
Martínez Pinteño, Albert
Gassó, Patricia
Rodríguez, Natalia
Cuesta, Manuel J.
González Peñas, Javier
García Rizo, Clemente
Lobo, Antonio
González Pinto Arrillaga, Ana María
García Alcón, Alicia
Roldán, Alexandra
Vieta, Eduard
Castro Fornieles, Josefina
Mané, Anna
Sáiz, Jerónimo
Bernardo, Miguel
Mas, Sergi
PEPs Group
Publication Year :
2022

Abstract

[EN] Objective: Metabolic syndrome is a health-threatening condition suffered by approximately one third of schizophrenia patients and largely attributed to antipsychotic medication. Previous evidence reports a common genetic background of psychotic and metabolic disorders. In this study, we aimed to assess the role of polygenic risk scores (PRSs) on the progression of the metabolic profile in a first-episode psychosis (FEP) cohort. Method: Of the 231 FEP individuals included in the study, 192-220 participants were included in basal analysis and 118-179 in longitudinal 6-month models. Eleven psychopathologic and metabolic PRSs were constructed. Basal and longitudinal PRSs association with metabolic measurements was assessed by statistical analyses.Results: No major association of psychopathological PRSs with the metabolic progression was found. However, high risk individuals for depression and cholesterol-related PRSs reported a higher increase of cholesterol levels during the follow-up (FDR <= 0.023 for all analyses). Their effect was comparable to other well-established pharmacological and environmental risk factors (explaining at least 1.2% of total variance).Conclusion: Our findings provide new evidence of the effects of metabolic genetic risk on the development of metabolic dysregulation. The future establishment of genetic profiling tools in clinical procedures could enable practitioners to better personalize antipsychotic treatment selection and dosage.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1346952199
Document Type :
Electronic Resource