Integrated analysis of nutrition profiles and dried blood spot proteomics reveals patterns associated with autism spectrum disorder.

IF 3.1 4区 医学 Q2 NEUROSCIENCES
Hoshik Kwon, Su-In Yoon, Sooyeon Baek, Yerin Hyun, Ju Yeon Kim, Dong Hui Park, Jiyoung Yu, Jin Ah Cho, Hyo-Won Kim, Kyunggon Kim
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Abstract

Objectives: To investigate whether dietary behavior-derived nutritional profiles and proteomic analysis of dried blood spots (DBS) could identify patterns associated with autism spectrum disorder (ASD).

Methods: A total of 29 children with ASD (mean age, 56.0 ± 8.7 months; 23 boys) and 27 control children (mean age, 60.6 ± 9.5 months; 20 boys) participated in the study. Three-day food records were used to assess nutrient and food group intakes. Blood samples were collected as DBS. To evaluate group separation, partial least squares discriminant analysis was applied to food group data, nutrient intake, and proteomic data. Balanced accuracy (average of sensitivity and specificity) was estimated using 5-fold cross-validation (100 repeats). Candidate markers were selected based on variable importance in projection (VIP) scores, followed by pathway enrichment analysis of proteomic candidates. Tripartite relationships among candidate nutritional and proteomic markers and clinical measures (Childhood Autism Rating Scale; Aberrant Behavior Checklist; Social Responsiveness Scale; Full-Scale IQ; Vineland Adaptive Behavior Scales) were explored using correlation heatmaps.

Results: We prioritized 18 candidate nutritional markers and 10 proteomic markers. The proteins were significantly enriched in nervous system pathways. Correlation analyses revealed several tripartite relationships among nutritional markers, proteomic markers, and clinical measures, including an S100A6-(omega-6 intake or meat intake)-clinical measures relationship and an ALDH18A1-nuts/seeds intake-clinical measures relationship.

Discussion: Specific combinations of nutritional profiles and DBS-derived proteomic signatures were associated with symptom severity and functional outcomes in children with ASD. Dietary intake may help interpret these molecular and clinical patterns. Future studies are necessary to elucidate these interrelationships.

综合分析营养概况和干血斑蛋白质组学揭示了与自闭症谱系障碍相关的模式。
目的:探讨饮食行为衍生的营养谱和干血斑(DBS)蛋白质组学分析是否可以识别自闭症谱系障碍(ASD)的相关模式。方法:共29例ASD患儿(平均年龄56.0±8.7个月,男孩23例)和27例对照患儿(平均年龄60.6±9.5个月,男孩20例)参与研究。三天的饮食记录用于评估营养和食物组的摄入量。采集血液样本作为DBS。为了评估组间的分离程度,我们对食物组数据、营养摄入数据和蛋白质组数据进行了偏最小二乘判别分析。使用5倍交叉验证(100次重复)估计平衡准确性(敏感性和特异性的平均值)。根据预测的可变重要性(VIP)评分选择候选标记,然后对候选蛋白质组学进行途径富集分析。利用相关热图探讨候选营养和蛋白质组学指标与临床指标(儿童自闭症评定量表、异常行为量表、社会反应量表、全面智商量表、Vineland适应行为量表)之间的三方关系。结果:优选出18个候选营养标记和10个候选蛋白质组学标记。这些蛋白在神经系统通路中显著富集。相关分析揭示了营养标志物、蛋白质组学标志物和临床指标之间的几种三方关系,包括S100A6-(ω -6摄入量或肉类摄入量)与临床指标之间的关系,以及aldh18a1 -坚果/种子摄入量与临床指标之间的关系。讨论:营养状况和dbs衍生的蛋白质组学特征的特定组合与ASD儿童的症状严重程度和功能结局相关。饮食摄入可能有助于解释这些分子和临床模式。未来的研究有必要阐明这些相互关系。
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来源期刊
Nutritional Neuroscience
Nutritional Neuroscience 医学-神经科学
CiteScore
8.50
自引率
2.80%
发文量
236
审稿时长
>12 weeks
期刊介绍: Nutritional Neuroscience is an international, interdisciplinary broad-based, online journal for reporting both basic and clinical research in the field of nutrition that relates to the central and peripheral nervous system. Studies may include the role of different components of normal diet (protein, carbohydrate, fat, moderate use of alcohol, etc.), dietary supplements (minerals, vitamins, hormones, herbs, etc.), and food additives (artificial flavours, colours, sweeteners, etc.) on neurochemistry, neurobiology, and behavioural biology of all vertebrate and invertebrate organisms. Ideally this journal will serve as a forum for neuroscientists, nutritionists, neurologists, psychiatrists, and those interested in preventive medicine.
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