Publication: Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study
Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study
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Byrne, J. F., Healy, C., Föcking, M., Susai, S. R., Mongan, D., Wynne, K., Kodosaki, E., Heurich, M., de Haan, L., Hickie, I. B., Smesny, S., Thompson, A., Markulev, C., Young, A. R., Schäfer, M. R., Riecher-Rössler, A., Mossaheb, N., Berger, G., Schlögelhofer, M., … et al. (2024). Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study. Schizophrenia Bulletin, 50(3), 579–588. https://doi.org/10.1093/schbul/sbad184
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Psychosis risk prediction is one of the leading challenges in psychiatry. Previous investigations have suggested that plasma proteomic data may be useful in accurately predicting transition to psychosis in individuals at clinical high risk (CHR). We hypothesized that an a priori-specified proteomic prediction model would have strong predictive accuracy for psychosis risk and aimed to replicate longitudinal associations between plasma proteins and transition to psychosis. This study used plasma samples from participants in 3 CHR cohort
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Byrne, J. F., Healy, C., Föcking, M., Susai, S. R., Mongan, D., Wynne, K., Kodosaki, E., Heurich, M., de Haan, L., Hickie, I. B., Smesny, S., Thompson, A., Markulev, C., Young, A. R., Schäfer, M. R., Riecher-Rössler, A., Mossaheb, N., Berger, G., Schlögelhofer, M., … et al. (2024). Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study. Schizophrenia Bulletin, 50(3), 579–588. https://doi.org/10.1093/schbul/sbad184
