精神分裂症(面向对象编程)
神经影像学
神经化学
心理干预
生物标志物
精神科
重症监护医学
医学
生物
生物信息学
疾病
病理
内科学
生物化学
作者
Rajwinder Kaur,Ankita Sood,Damanpreet Kaur Lang,Ravi Goyal,Balraj Saini
标识
DOI:10.2174/1568026621666210521162832
摘要
Schizophrenia is a serious psychiatric disorder leading to cognitive impairment and has higher rates of morbidity and mortality. There is a need to understand the mechanisms underlying the onset and progression of the disease as the clinical presentation may vary in patients and inadequate knowledge of neurochemical alterations can lead to decreased efficacy in treatment which makes it necessary to identify new potent biomarkers. Identification of biomarkers in schizophrenia offers significant benefits to the well-being of patients, including better prognosis, diagnosis, detection, screening, enhancement in treatment efficacy, prevention of relapse, and better clinical results. Incorporation of advanced technological techniques is necessary to provide an approach for the diagnosis and treatment of psychiatric disorders and to permit specific therapeutic interventions. This review highlights the particulars about the current use and application of various biomarkers such as proteomics, miRNAs, language techniques, antibodies, blood biomarkers, gut microbiota, such as analysis, neuroimaging techniques, and inflammatory biomarkers in effective prognosis, detection, and treatment of schizophrenia and which would contribute as an additional tool for a psychiatrist in cases where an appropriate diagnosis is lacking clarity.
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