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Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment

机译:ASD儿童和母亲之间肠道微生物组与风险评估的潜在生物标记物的相关性

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摘要

Variation of maternal gut microbiota may increase the risk of autism spectrum disorders (ASDs) in offspring. Animal studies have indicated that maternal gut microbiota is related to neu-rodevelopmental abnormalities in mouse offspring, while it is unclear whether there is a correlation between gut microbiota of ASD children and their mothers. We examined the relationships between gut microbiome profiles of ASD children and those of their mothers, and evaluated the clinical dis-criminatory power of discovered bacterial biomarkers. Gut microbiome was profiled and evaluated by 16S ribosomal RNA gene sequencing in stool samples of 59 mother–child pairs of ASD children and 30 matched mother–child pairs of healthy children. Significant differences were observed in the gut microbiome composition between ASD and healthy children in our Chinese cohort. Several unique bacterial biomarkers, such as Alcaligenaceae and Acinetobacter, were identified. Mothers of ASD children had more Proteobacteria, Alphaproteobacteria, Moraxellaceae, and Acinetobacter than mothers of healthy children. There was a clear correlation between gut microbiome profiles of children and their mothers;however, children with ASD still had unique bacterial biomarkers, such as Alcaligenaceae, Enterobacteriaceae, and Clostridium. Candidate biomarkers discovered in this study had remarkable discriminatory power. The identified patterns of mother–child gut micro-biome profiles may be important for assessing risks during the early stage and planning of person-alized treatment and prevention of ASD via microbiota modulation.
机译:母体肠道菌群的变异可能会增加后代自闭症谱系障碍(ASD)的风险。动物研究表明,母体肠道菌群与小鼠后代的神经元发育异常有关,但尚不清楚ASD儿童与其母亲的肠道菌群之间是否存在相关性。我们检查了ASD儿童与其母亲的肠道微生物组谱之间的关系,并评估了发现的细菌生物标记物在临床上的鉴别力。通过对59对ASD儿童母婴和30对健康儿童配对的粪便样本中的肠道微生物组进行了16S核糖体RNA基因测序,并进行了评估。在我们的中国队列中,ASD与健康儿童之间的肠道微生物组组成存在显着差异。鉴定了几种独特的细菌生物标志物,例如杯形藻科和不动杆菌。 ASD儿童的母亲比健康儿童的母亲有更多的变形杆菌,α-变形杆菌,莫拉氏菌和不动杆菌。儿童及其母亲的肠道微生物组特征之间存在明显的相关性;但是,患有ASD的儿童仍然具有独特的细菌生物标记物,如Al草科,肠杆菌科和梭状芽胞杆菌。在这项研究中发现的候选生物标志物具有显着的歧视能力。母婴肠道微生物组特征谱的确定模式对于早期评估风险以及通过微生物菌群调节规划个性化治疗和预防ASD可能很重要。

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    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Department of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China;

    Institute of Child Health Care, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Institute of Child Health Care, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    School of Chemistry, Beihang University, Beijing 100191, China;

    Department of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China;

    CAS Key Laboratory of Synthetic Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China;

    Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

    Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China;

    College of Life Science, Qilu Normal University, Jinan 250200, China;

    College of Life Science, Qilu Normal University, Jinan 250200, China;

    Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China;

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  • 原文格式 PDF
  • 正文语种 eng
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