网络分析揭示了与儿童呼吸系统疾病相关的蛋白质模块
Nicole Prince1,2, Sofina Begum1,2, Kevin M Mendez1,2,3
1Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
bioRxiv : the preprint server for biology
|July 1, 2024
概括
婴儿1岁时的免疫蛋白质概况预测了儿童呼吸系统疾病,如喘和6岁时的感染. 这些早期免疫标记与环境暴露和代谢变化有关,为识别有风险的儿童提供了新的途径.
科学领域:
- 免疫学 免疫学 免疫学
- 儿科呼吸系统医学 儿科呼吸系统医学
- 系统生物学 系统生物学
背景情况:
- 生命的第一年对免疫系统的发展至关重要,影响长期的呼吸系统健康.
- 早期的免疫轨迹会影响喘,复发性感染和湿疹的风险.
- 将早期免疫与晚期呼吸道疾病联系在一起的生物机制尚不清楚.
研究的目的:
- 调查婴儿免疫相关蛋白质概况与儿童呼吸系统疾病的随后发展之间的关联.
- 确定早期免疫生物标志物,预测到6岁之前的呼吸道疾病发病率.
- 探索与这些早期免疫特征相关的基因组,环境和代谢学因素.
主要方法:
- 权重基因相关网络分析 (WGCNA) 用于识别1岁的294名儿童血中相关免疫蛋白的模块.
- 回归分析评估了6岁时蛋白质模块与呼吸系统疾病发病率 (喘,反复喘息,感染,湿疹) 之间的关系.
- 分析了基因组,环境和代谢学数据,以描述相关因素.
主要成果:
- 1岁时4个蛋白质模块与6岁时的儿童喘,反复喘息,呼吸道感染或湿疹有显著关联.
- 三个模块显示了与环境暴露和破坏代谢途径的关联.
- 没有显著的全基因组单核酸多态 (SNP) 被确定为蛋白质模块的危险因素.
结论:
- 早期生活 (1岁) 免疫蛋白质配置文件可以预测到6岁的呼吸道疾病的发展.
- 这些预测特征与代谢途径的改变有关,特别是氨基酸和能量代谢.
- 婴儿期免疫蛋白质分析可能为识别患有呼吸道疾病风险的儿童提供新的策略.
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