Comprehensive review of multidimensional biomarkers in the ShangHai At Risk for Psychosis (SHARP) program for early psychosis identification

TianHong Zhang, LiHua Xu, XiaoChen Tang, YanYan Wei, YeGang Hu, HuiRu Cui, YingYing Tang, ChunBo Li, JiJun Wang
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Abstract

Abstract Psychosis is recognized as one of the largest contributors to nonfatal health loss, and early identification can largely improve routine clinical activity by predicting the psychotic course and guiding treatment. Clinicians have used the clinical high‐risk for psychosis (CHR) paradigm to better understand the risk factors that contribute to the onset of psychotic disorders. Clinical factors have been widely applied to calculate the individualized risks for conversion to psychosis 1–2 years later. However, there is still a dearth of valid biomarkers to predict psychosis. Biomarkers, in the context of this paper, refer to measurable biological indicators that can provide valuable information about the early identification of individuals at risk for psychosis. The aim of this paper is to critically review studies assessing CHR and suggest possible biomarkers for application of prediction. We summarized the studies on biomarkers derived from the findings of the ShangHai at Risk for Psychosis (SHARP) program, including those that are considered to have the most potential. This comprehensive review was conducted based on expert opinions within the SHARP research team, and the selection of studies and results presented in this paper reflects the collective expertise of the team in the field of early psychosis identification. The three dimensions with potential candidates include neuroimaging dimension of brain structure and function, electrophysiological dimension of event‐related potentials (ERPs), and immune dimension of inflammatory cytokines and complement proteins, which proved to be useful in supporting the prediction of psychosis from the CHR state. We suggest that these three dimensions could be useful as risk biomarkers for treatment optimization. In the future, when available for the integration of multiple dimensions, clinicians may be able to obtain a comprehensive report with detailed information of psychosis risk and specific indications about preferred prevention.
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上海精神病风险(SHARP)项目中用于早期精神病识别的多维生物标志物的综合综述
精神病被认为是造成非致死性健康损失的最大因素之一,早期识别可以通过预测精神病病程和指导治疗在很大程度上改善常规临床活动。临床医生已经使用临床精神病高风险(CHR)范式来更好地理解导致精神障碍发病的危险因素。临床因素被广泛应用于计算1-2年后转化为精神病的个体化风险。然而,仍然缺乏有效的生物标志物来预测精神病。在本文中,生物标志物指的是可测量的生物指标,这些指标可以为早期识别有精神病风险的个体提供有价值的信息。本文的目的是对评估CHR的研究进行批判性回顾,并提出可能用于预测的生物标志物。我们总结了来自上海精神病风险(SHARP)项目结果的生物标志物研究,包括那些被认为最有潜力的生物标志物。这项综合审查是基于SHARP研究团队内部的专家意见进行的,本文中所选择的研究和结果反映了该团队在早期精神病鉴定领域的集体专业知识。具有潜在候选的三个维度包括脑结构和功能的神经影像学维度,事件相关电位(ERPs)的电生理维度以及炎症细胞因子和补体蛋白的免疫维度,这些维度被证明有助于从CHR状态预测精神病。我们建议这三个维度可以作为治疗优化的风险生物标志物。在未来,当可以整合多个维度时,临床医生可能能够获得一份全面的报告,其中包含精神病风险的详细信息和首选预防的具体适应症。
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