Biomarker Profiles in Psychosis Risk Groups Within Unaffected Relatives Based on Familiality and Age.
Biomarker Profiles in Psychosis Risk Groups Within Unaffected Relatives Based on Familiality and Age.
复制标题
DOI：
10.1093/schbul/sbab013
复制
发表时间：
2021-03
影响因子：
6.6
通讯作者：
Halide Bilge Türközer;E. Ivleva;Jayme M. Palka;B. Clementz;R. Shafee;G. Pearlson;J. Sweeney;M. Keshavan;E. Gershon;C. Tamminga
中科院分区：
文献类型：
--
作者：
Halide Bilge Türközer;E. Ivleva;Jayme M. Palka;B. Clementz;R. Shafee;G. Pearlson;J. Sweeney;M. Keshavan;E. Gershon;C. Tamminga
在精神病患者未受影响的亲属（UR）中调查生物标志物已经在精神病神经生物学研究中证明是富有成效的。然而，有相当大的异质性UR的基础上的功能与精神病的脆弱性。在这里，使用中间表型双极-精神分裂症网络（B-SNIP）数据集，我们检查了精神病先证者的一级UR的认知和神经生理学生物标志物，按2个广泛使用的风险因素分层：先证者的家庭关系（存在或不存在有精神病史的一级或二级亲属）和年龄（在发生精神病的常见年龄范围内或以上）。我们研究了最能区分上述特定风险亚组的生物标志物。此外，我们还研究了高加索先证者和健康对照（HC）子样本中生物标志物与精神分裂症多基因风险评分（PRSSCZ）的关系。我们的研究结果表明，精神分裂症患者认知能力的简要评估（BACS）评分、反跳跃错误（ASE）因子和停止信号任务（SST）因子最能区分UR（n = 169）和HC（n = 137）（P = 0.013）。家族性（n = 82）和非家族性（n = 83）先证者的UR生物标志物谱无显著差异。此外，ASE和SST因素最能区分年轻UR（年龄≤ 30岁）（n = 59）和老年UR（n = 110）以及两个年龄组的HC（年龄≤ 30岁，n=49;年龄> 30岁，n = 88）（P < .001）。此外，BACS（r =-0.175，P = 0.006）和ASE因子（r = 0.188，P = 0.006）与PRSSCZ相关。总之，我们的研究结果表明，认知生物标志物-特别是“自上而下抑制”损伤-可能是至关重要的精神病脆弱性的指标。
Investigating biomarkers in unaffected relatives (UR) of individuals with psychotic disorders has already proven productive in research on psychosis neurobiology. However, there is considerable heterogeneity among UR based on features linked to psychosis vulnerability. Here, using the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) dataset, we examined cognitive and neurophysiologic biomarkers in first-degree UR of psychosis probands, stratified by 2 widely used risk factors: familiality status of the respective proband (the presence or absence of a first- or second-degree relative with a history of psychotic disorder) and age (within or older than the common age range for developing psychosis). We investigated biomarkers that best differentiate the above specific risk subgroups. Additionally, we examined the relationship of biomarkers with Polygenic Risk Scores for Schizophrenia (PRSSCZ) in a subsample of Caucasian probands and healthy controls (HC). Our results demonstrate that the Brief Assessment of Cognition in Schizophrenia (BACS) score, antisaccade error (ASE) factor, and stop-signal task (SST) factor best differentiate UR (n = 169) from HC (n = 137) (P = .013). Biomarker profiles of UR of familial (n = 82) and non-familial (n = 83) probands were not significantly different. Furthermore, ASE and SST factors best differentiated younger UR (age ≤ 30) (n = 59) from older UR (n = 110) and HC from both age groups (age ≤ 30 years, n=49; age > 30 years, n = 88) (P < .001). In addition, BACS (r = -0.175, P = .006) and ASE factor (r = 0.188, P = .006) showed associations with PRSSCZ. Taken together, our findings indicate that cognitive biomarkers-"top-down inhibition" impairments in particular-may be of critical importance as indicators of psychosis vulnerability.