自闭症谱系障碍儿童的认知灵活性和免疫组生物标志物

Casara Jean Ferretti , Benjamin Lê Cook , Aakash Mahant Mahant , Philip Chu , Yin Zhao , Bonnie P. Taylor , Betsy C. Herold , Eric Hollander
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引用次数: 0

摘要

认知僵化是一种跨诊断的内表型,表现为一系列疾病,包括自闭症谱系障碍(ASD)。有证据表明,ASD 亚群存在免疫功能障碍,包括全身炎症、细胞因子失调和抗脑自身抗体。虽然免疫组通路参与了 ASD 的病理生理学,但人们对它们与症状领域或症状严重程度的关系以及这些生物标志物是否有助于优化未来的临床试验却知之甚少。我们将阿尔伯特-爱因斯坦医学院(AECOM)5-18 岁 ABC-I 评分≥18 分、CGI-S 评分≥4 分和 SRS-2 评分≥66T 的 ASD 患儿的认知不灵活和由此产生的易激惹性的基线临床测量结果与免疫组生物标志物水平进行了相关分析。研究人员完成了非参数斯皮尔曼相关性分析和估计的多变量回归分析,并对其他临床变量、种族、性别和年龄等潜在混杂因素进行了调整。研究发现,蒙特菲奥雷爱因斯坦僵化量表-修订版(MERS-R)总分与促炎症细胞因子IL-6(rs=.80)、粒细胞集落刺激因子(GCSF;rs=.72)、巨噬细胞炎症蛋白-1 alpha(MIP-1a;rs=.71)之间存在很强的正相关性(rs > .70)。MERS-R 分量表与免疫组生物标志物也有中等和较强的相关性。MERS-R总刚性分量表得分与IL-6(rs = 0.7856)有很强的正相关性。通过多变量回归分析发现,MERS-R总僵硬度分量表得分与促炎细胞因子IL-18之间存在显著关系(p = 0.02),与IFN-α2之间存在非显著趋势(β = -4.982,p = 0.058)。ABC-I 与促炎细胞因子 IL-18 (p = .013)、IFN-α2 (p = 0.039)、抗炎细胞因子 IL-10 (p = 0.02)和适应性免疫细胞因子 IL-2 (p = 0.041)明显相关。这一初步数据首次研究了ASD儿童认知不灵活的临床测量与免疫组生物标志物之间的关系,可为更好地理解免疫组机制、认知不灵活和ASD症状之间的关系提供一个框架。临床试验:NCT03202303。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive inflexibility and immunome biomarkers in children with autism spectrum disorder

Cognitive inflexibility is a transdiagnostic endophenotype that presents across a range of disorders, including autism spectrum disorder (ASD), which is maintained through adulthood, and encompasses both cognitive and behavioral rigidity. There is evidence for immune dysfunction in a subgroup of ASD, including systemic inflammation, cytokine dysregulation and anti-brain autoantibodies. Although immunome pathways are involved in ASD pathophysiology, there is little known about how they relate to symptom domains or symptom severity, and whether such biomarkers may be useful in optimizing future clinical trials. We correlated baseline clinical measures of cognitive inflexibility and resultant irritability with immunome biomarker levels in children with ASD, aged 5–18 years with ABC-I scores ≥18, CGI-S scores ≥4 and SRS-2 scores ≥66T, at Albert Einstein College of Medicine (AECOM). Non-parametric Spearman correlations and estimated multivariable regression analyses adjusting for potential confounders, including other clinical variables, race, sex, and age were completed. Strong positive correlations (rs > .70) were found between the Montefiore Einstein Rigidity Scale – Revised (MERS-R) Total Score and the pro-inflammatory cytokines IL-6 (rs=.80), granulocyte-colony stimulating factor (GCSF; rs =.72), macrophage inflammatory protein-1 alpha (MIP-1a; rs =.71). The MERS-R subscales also had moderate and strong correlations with the immunome biomarkers. The MERS-R Total Rigidity Subscale Score had a strong positive relationship with IL-6 (rs = 0.7856). Using multivariable regression analyses significant relationships were found between the MERS-R Total Rigidity Subscale Score and proinflammatory cytokine IL-18 (p = 0.02), and a nonsignificant trend was found between it and IFN-alpha2 (β = −4.982, p = 0.058). The ABC-I was significantly correlated with pro-inflammatory cytokine IL-18 (p = .013), IFN-alpha2 (p = 0.039), the anti-inflammatory cytokine IL-10 (p = 0.02), and adaptive immunity cytokine IL-2 (p = 0.041). This preliminary data is the first to examine the relationship of clinical measures of cognitive inflexibility and immunome biomarkers in children with ASD, and may provide a framework for better understanding the relationship between immunome mechanisms, cognitive inflexibility, and ASD symptomatology. Clinicaltrials.gov: NCT03202303.

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