Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Joint first authors.
Schizophr Bull. 2019 Jan 1;45(1):233-246. doi: 10.1093/schbul/sby021.
Blood-based biomarker discovery for psychotic disorders has yet to impact upon routine clinical practice. In physical disorders antibodies have established roles as diagnostic, prognostic and predictive (theranostic) biomarkers, particularly in disorders thought to have a substantial autoimmune or infective aetiology. Two approaches to antibody biomarker identification are distinguished: a "top-down" approach, in which antibodies to specific antigens are sought based on the known function of the antigen and its putative role in the disorder, and emerging "bottom-up" or "omics" approaches that are agnostic as to the significance of any one antigen, using high-throughput arrays to identify distinctive components of the antibody repertoire. Here we review the evidence for antibodies (to self-antigens as well as infectious organism and dietary antigens) as biomarkers of diagnosis, prognosis, and treatment response in psychotic disorders. Neuronal autoantibodies have current, and increasing, clinical utility in the diagnosis of organic or atypical psychosis syndromes. Antibodies to selected infectious agents show some promise in predicting cognitive impairment and possibly other symptom domains (eg, suicidality) within psychotic disorders. Finally, infectious antibodies and neuronal and other autoantibodies have recently emerged as potential biomarkers of response to anti-infective therapies, immunotherapies, or other novel therapeutic strategies in psychotic disorders, and have a clear role in stratifying patients for future clinical trials. As in nonpsychiatric disorders, combining biomarkers and large-scale use of "bottom-up" approaches to biomarker identification are likely to maximize the eventual clinical utility of antibody biomarkers in psychotic disorders.
用于精神疾病的基于血液的生物标志物的发现尚未对常规临床实践产生影响。在物理疾病中,抗体已作为诊断、预后和预测(治疗诊断)的生物标志物确立了其地位,特别是在那些被认为具有实质性自身免疫或感染病因的疾病中。抗体生物标志物识别有两种方法:一种是“自上而下”的方法,根据抗原的已知功能及其在疾病中的潜在作用,寻找针对特定抗原的抗体;另一种是新兴的“自下而上”或“组学”方法,这种方法不考虑任何一种抗原的意义,而是使用高通量阵列来识别抗体库的独特成分。在这里,我们回顾了抗体(自身抗原以及感染性生物和饮食抗原)作为精神疾病诊断、预后和治疗反应生物标志物的证据。神经元自身抗体在诊断器质性或非典型精神病综合征方面具有当前和不断增加的临床应用价值。针对选定的传染性病原体的抗体在预测认知障碍以及精神疾病中可能的其他症状领域(例如,自杀倾向)方面显示出一定的前景。最后,感染性抗体以及神经元和其他自身抗体最近已成为精神疾病中对抗感染治疗、免疫治疗或其他新治疗策略的反应的潜在生物标志物,并在为未来临床试验分层患者方面发挥着明确的作用。与非精神疾病一样,结合生物标志物和大规模使用“自下而上”的生物标志物识别方法可能会最大限度地提高抗体生物标志物在精神疾病中的最终临床应用价值。