Suppr超能文献

精神分裂症的潜在诊断生物标志物。

Potential diagnostic biomarkers for schizophrenia.

作者信息

Yue Weihua, Huang Hailiang, Duan Jubao

机构信息

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.

出版信息

Med Rev (2021). 2022 Aug 2;2(4):385-416. doi: 10.1515/mr-2022-0009. eCollection 2022 Aug.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa1c/10388817/7b5b8d0d892e/j_mr-2022-0009_fig_001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验