重性抑郁障碍
生物标志物
模式
医学
生物信息学
精神科
认知
生物
社会科学
生物化学
社会学
作者
Tao Dong,Chenghui Yu,Qi Mao,Feng Han,Zhenwei Yang,Zhaochu Yang,Nuno Pires,Xueyong Wei,Weixuan Jing,Qijing Lin,Fei Hu,Xiao Hu,Libo Zhao,Zhuangde Jiang
标识
DOI:10.1016/j.bios.2024.116291
摘要
Depression is one of the most common mental disorders and is mainly characterized by low mood or lack of interest and pleasure. It can be accompanied by varying degrees of cognitive and behavioral changes and may lead to suicide risk in severe cases. Due to the subjectivity of diagnostic methods and the complexity of patients' conditions, the diagnosis of major depressive disorder (MDD) has always been a difficult problem in psychiatry. With the discovery of more diagnostic biomarkers associated with MDD in recent years, especially emerging non-coding RNAs (ncRNAs), it is possible to quantify the condition of patients with mental illness based on biomarker levels. Point-of-care biosensors have emerged due to their advantages of convenient sampling, rapid detection, miniaturization, and portability. After summarizing the pathogenesis of MDD, representative biomarkers, including proteins, hormones, and RNAs, are discussed. Furthermore, we analyzed recent advances in biosensors for detecting various types of biomarkers of MDD, highlighting representative electrochemical sensors. Future trends in terms of new biomarkers, new sample processing methods, and new detection modalities are expected to provide a complete reference for psychiatrists and biomedical engineers.
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