Yue Weihua, Huang Hailiang, Duan Jubao
Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.
National Clinical Research Center for Mental Disorders & NHC Key Laboratory of Mental Health (Peking University) and Chinese Academy of Medical Sciences Research Unit, Beijing, China.
Med Rev (2021). 2022 Aug 2;2(4):385-416. doi: 10.1515/mr-2022-0009. eCollection 2022 Aug.
Schizophrenia (SCH) is a complex and severe mental disorder with high prevalence, disability, mortality and carries a heavy disease burden, the lifetime prevalence of SCH is around 0.7%-1.0%, which has a profound impact on the individual and society. In the clinical practice of SCH, key problems such as subjective diagnosis, experiential treatment, and poor overall prognosis are still challenging. In recent years, some exciting discoveries have been made in the research on objective biomarkers of SCH, mainly focusing on genetic susceptibility genes, metabolic indicators, immune indices, brain imaging, electrophysiological characteristics. This review aims to summarize the biomarkers that may be used for the prediction and diagnosis of SCH.
精神分裂症(SCH)是一种复杂且严重的精神障碍,具有高患病率、致残率、死亡率,疾病负担沉重,其终生患病率约为0.7%-1.0%,对个人和社会都有深远影响。在精神分裂症的临床实践中,主观诊断、经验性治疗以及总体预后不佳等关键问题仍然具有挑战性。近年来,在精神分裂症客观生物标志物的研究方面取得了一些令人振奋的发现,主要集中在遗传易感基因、代谢指标、免疫指标、脑成像、电生理特征等方面。本综述旨在总结可能用于精神分裂症预测和诊断的生物标志物。