TY - JOUR
T1 - A multimodal study of a first episode psychosis cohort
T2 - potential markers of antipsychotic treatment resistance
AU - Yang, Kun
AU - Longo, Luisa
AU - Narita, Zui
AU - Cascella, Nicola
AU - Nucifora, Frederick C.
AU - Coughlin, Jennifer M.
AU - Nestadt, Gerald
AU - Sedlak, Thomas W.
AU - Mihaljevic, Marina
AU - Wang, Min
AU - Kenkare, Anshel
AU - Nagpal, Anisha
AU - Sethi, Mehk
AU - Kelly, Alexandra
AU - Di Carlo, Pasquale
AU - Kamath, Vidyulata
AU - Faria, Andreia
AU - Barker, Peter
AU - Sawa, Akira
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2022/2
Y1 - 2022/2
N2 - 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.
AB - 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.
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U2 - 10.1038/s41380-021-01331-7
DO - 10.1038/s41380-021-01331-7
M3 - Article
C2 - 34642460
AN - SCOPUS:85116908975
SN - 1359-4184
VL - 27
SP - 1184
EP - 1191
JO - Molecular psychiatry
JF - Molecular psychiatry
IS - 2
ER -