Suppr超能文献

与极早产儿肺损伤早期发展相关的血浆蛋白质组谱。

Plasma Proteome Profiles Associated with Early Development of Lung Injury in Extremely Preterm Infants.

机构信息

Neonatal Research Group and.

Department of Paediatrics and.

出版信息

Am J Respir Cell Mol Biol. 2024 Dec;71(6):677-687. doi: 10.1165/rcmb.2024-0034OC.

Abstract

The biological mediators that initiate lung injury in extremely preterm infants during early postnatal life remain largely unidentified, limiting opportunities for early treatment and diagnosis. In this exploratory study, we used sequential window acquisition of all theoretical mass spectra mass spectrometry to identify bronchopulmonary dysplasia (BPD)-specific changes in protein abundance in plasma samples obtained in the first 72 hours of life from extremely preterm infants and bioinformatic analysis to identify BPD-related biological categories and pathways. Last, binary logistic regression analysis was used to test the BPD predictive potential of a base model alone (gestational age, birth weight, sex) and with the protein biomarker added, with bootstrap resampling used to internally validate protein predictors and adjust for overoptimism. We observed disturbance of key processes, including coagulation, complement activation, development, and extracellular matrix organization, in the first days of life in extremely preterm infants who later received diagnoses of BPD. In the BPD prediction analysis, 49 plasma proteins were identified; when each singularly was combined with birth characteristics the optimism-adjusted C index was 0.65-0.84, suggesting predictive potential for BPD outcomes. Taken together, the results of this study demonstrate that alterations in plasma proteins can be detected from 4 hours of age in extremely preterm infants who later develop BPD and that protein biomarkers, when combined with three birth characteristics, have the potential to predict BPD development within the first 72 hours of life.

摘要

在生命早期,引发极早产儿肺损伤的生物介质在很大程度上仍未被识别,这限制了早期治疗和诊断的机会。在这项探索性研究中,我们使用连续窗口采集所有理论质谱的质谱分析法,来识别极早产儿生命最初 72 小时内获得的血浆样本中支气管肺发育不良(BPD)特异性蛋白丰度变化,并进行生物信息学分析以确定与 BPD 相关的生物学类别和途径。最后,使用二元逻辑回归分析来单独测试(胎龄、出生体重、性别)和添加蛋白质生物标志物的基本模型对 BPD 的预测潜力,使用自举重采样对内部分析蛋白质预测因子并调整过度拟合。我们观察到,在极早产儿生命的最初几天中,与凝血、补体激活、发育和细胞外基质组织有关的关键过程受到干扰,这些婴儿后来被诊断为 BPD。在 BPD 预测分析中,确定了 49 种血浆蛋白;当将每种蛋白与出生特征单独结合时,调整后的乐观主义者 C 指数为 0.65-0.84,这表明对 BPD 结果有预测潜力。总之,这项研究的结果表明,在后来发展为 BPD 的极早产儿中,从 4 小时龄开始就可以检测到血浆蛋白的改变,并且当蛋白质生物标志物与三个出生特征相结合时,具有预测生命最初 72 小时内 BPD 发展的潜力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验