网络分析揭示了与儿童呼吸道疾病相关的蛋白质模块
Nicole Prince1, Sofina Begum1, Kevin M Mendez2
1Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass.
The Journal of allergy and clinical immunology
|March 8, 2025
概括
1岁时的早期生命蛋白质概况预测到6岁时的呼吸系统疾病,如喘和感染. 这些蛋白质模块的网络分析为识别有风险的儿童提供了新的策略.
科学领域:
- 儿科免疫学 儿科免疫学
- 系统生物学 系统生物学
- 呼吸系统药物 呼吸系统药物
背景情况:
- 生命的第一年对免疫发育至关重要,影响了儿童呼吸系统疾病 (如喘,湿疹和复发性感染) 的风险.
- 免疫介导蛋白在早期呼吸道疾病中的特定作用仍然不完全理解.
研究的目的:
- 研究1岁婴儿蛋白质概况与6岁婴儿呼吸系统相关疾病发病率之间的关联.
- 为了确定与喘,反复喘息,呼吸道感染和湿疹相关的特定蛋白质模块.
主要方法:
- 权重基因相关网络分析 (WGCNA) 用于从294名1岁儿童的血样本中识别相关蛋白的模块.
- 回归分析检查了这些蛋白质模块与6岁时呼吸系统结果之间的关系.
- 与omics,社会,人口和环境数据的整合为识别的模块提供了进一步的特征.
主要成果:
- 1岁时4个蛋白质模块与儿童喘/反复喘息,呼吸道感染和6岁时的湿疹有显著的关联.
- 这些关联是暂时敏感的,并且在6岁时没有观察到蛋白质配置文件.
- 模块还与环境因素和代谢途径改变有关,但不是全基因组SNP.
结论:
- 生命第一年的蛋白质概况可以预测到6岁时呼吸系统相关疾病的发展.
- 基于网络的早期生命蛋白质概况分析为识别容易患有呼吸道疾病的儿童提供了一种新的方法.
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