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A multimodal study of a first episode psychosis cohort: potential markers of antipsychotic treatment resistance.
Yang, Kun; Longo, Luisa; Narita, Zui; Cascella, Nicola; Nucifora, Frederick C; Coughlin, Jennifer M; Nestadt, Gerald; Sedlak, Thomas W; Mihaljevic, Marina; Wang, Min; Kenkare, Anshel; Nagpal, Anisha; Sethi, Mehk; Kelly, Alexandra; Di Carlo, Pasquale; Kamath, Vidyulata; Faria, Andreia; Barker, Peter; Sawa, Akira.
Afiliação
  • Yang K; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Longo L; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Narita Z; Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
  • Cascella N; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Nucifora FC; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Coughlin JM; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Nestadt G; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Sedlak TW; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Mihaljevic M; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Wang M; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Kenkare A; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Nagpal A; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
  • Sethi M; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Kelly A; Department of Public Health Studies, Johns Hopkins University Zanvyl Krieger School of Arts and Sciences, Baltimore, MD, 21218, USA.
  • Di Carlo P; Department of Applied Math and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, 21218, USA.
  • Kamath V; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Faria A; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
  • Barker P; Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
  • Sawa A; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Mol Psychiatry ; 27(2): 1184-1191, 2022 02.
Article em En | MEDLINE | ID: mdl-34642460
Treatment resistant (TR) psychosis is considered to be a significant cause of disability and functional impairment. Numerous efforts have been made to identify the clinical predictors of TR. However, the exploration of molecular and biological markers is still at an early stage. To understand the TR condition and identify potential molecular and biological markers, we analyzed demographic information, clinical data, structural brain imaging data, and molecular brain imaging data in 7 Tesla magnetic resonance spectroscopy from a first episode psychosis cohort that includes 136 patients. Age, gender, race, smoking status, duration of illness, and antipsychotic dosages were controlled in the analyses. We found that TR patients had a younger age at onset, more hospitalizations, more severe negative symptoms, a reduction in the volumes of the hippocampus (HP) and superior frontal gyrus (SFG), and a reduction in glutathione (GSH) levels in the anterior cingulate cortex (ACC), when compared to non-TR patients. The combination of multiple markers provided a better classification between TR and non-TR patients compared to any individual marker. Our study shows that ACC-GSH, HP and SFG volumes, and age at onset, could potentially be biomarkers for TR diagnosis, while hospitalization and negative symptoms could be used to evaluate the progression of the disease. Multimodal cohorts are essential in obtaining a comprehensive understanding of brain disorders.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia / Antipsicóticos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia / Antipsicóticos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos