Key Clinical Laboratory of Henan Province, Department of Clinical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Department of Pediatrics, Qilu Hospital of Shandong University, No. 107, Wen Hua Xi Road, Jinan, 250012, Shandong, China.
Mol Neurobiol. 2024 Aug;61(8):6031-6044. doi: 10.1007/s12035-024-03965-4. Epub 2024 Jan 24.
Several studies have linked branched-chain amino acid (BCAA) metabolism disorders with autism spectrum disorder (ASD), but the results have been inconsistent. The purpose of this study was to explore the association between BCAA concentrations and the risk of ASD. A total of 313 participants were recruited from two tertiary referral hospitals from May 2018 to July 2021. Concentrations of BCAAs in dried blood spots were analyzed using liquid chromatography-tandem mass spectrometry-based analysis. Multivariate analyses and restricted cubic spline models were used to identify the association between BCAAs and the risk of ASD, and a nomogram was developed by using multivariate logistic regression and the risk was determined by receiver operating characteristic curve analysis and calibration curve analysis. Concentrations of total BCAA, valine, and leucine/isoleucine were higher in the ASD group, and all of them were positively and non-linearly associated with the risk of ASD even after adjusting for potential confounding factors such as age, gender, body mass index, and concentrations of BCAAs (P < 0.05). The nomogram integrating total BCAA and valine showed a good discriminant AUC value of 0.756 (95% CI 0.676-0.835). The model could yield net benefits across a reasonable range of risk thresholds. In the stratified analysis, the diagnostic ability of the model was more pronounced in children older than 3 years. We provide evidence that increased levels of BCAAs are associated with the risk of ASD, and the nomogram model of BCAAs presented here can serve as a marker for the early diagnosis of ASD.
已有多项研究将支链氨基酸(BCAA)代谢紊乱与自闭症谱系障碍(ASD)联系起来,但结果并不一致。本研究旨在探索 BCAA 浓度与 ASD 风险之间的关联。2018 年 5 月至 2021 年 7 月,我们从两家三级转诊医院招募了 313 名参与者。采用基于液相色谱-串联质谱的分析方法检测干血斑中 BCAA 的浓度。采用多元分析和限制性立方样条模型来确定 BCAA 与 ASD 风险之间的关联,并通过多元逻辑回归建立列线图,通过受试者工作特征曲线分析和校准曲线分析来确定风险。ASD 组的总 BCAA、缬氨酸和亮氨酸/异亮氨酸浓度较高,所有这些与 ASD 风险呈正相关且非线性关联,即使在调整了年龄、性别、体重指数和 BCAA 浓度等潜在混杂因素后也是如此(P<0.05)。整合总 BCAA 和缬氨酸的列线图显示出良好的判别 AUC 值为 0.756(95%CI 0.676-0.835)。该模型在合理的风险阈值范围内可以产生净收益。在分层分析中,该模型的诊断能力在 3 岁以上的儿童中更为明显。我们提供的证据表明,BCAA 水平升高与 ASD 风险相关,这里提出的 BCAA 列线图模型可作为 ASD 早期诊断的标志物。