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

IF 5.9 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY American Journal of Respiratory Cell and Molecular Biology Pub Date : 2024-07-25 DOI:10.1165/rcmb.2024-0034OC
Prue M Pereira-Fantini, Sean G Byars, C Omar F Kamlin, Brett J Manley, Peter G Davis, David G Tingay
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Abstract

The biological mediators which initiate lung injury in extremely preterm infants during early postnatal life remain largely unidentified, limiting opportunities for early treatment and diagnosis. This exploratory study used SWATH-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. Lasty, 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 organisation in the first days of life in extremely preterm infants who were later diagnosed with BPD. In the BPD prediction analysis, 49 plasma proteins were identified which when each singularly was combined with birth characteristics had a C-index of 0.65-0.84 (optimism-adjusted C-index) suggesting predictive potential for BPD outcomes. Taken together, this study demonstrates 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.

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与极早产儿肺损伤早期发展相关的血浆蛋白质组图谱
极早产儿出生后早期肺损伤的生物介质在很大程度上仍未确定,这限制了早期治疗和诊断的机会。这项探索性研究利用SWATH质谱法确定极早产儿出生后72小时内血浆样本中支气管肺发育不良(BPD)特异性蛋白质丰度变化,并利用生物信息学分析确定与BPD相关的生物类别和通路。最后,我们使用二元逻辑回归分析来测试单独的基础模型(胎龄、出生体重、性别)和添加蛋白质生物标记物的 BPD 预测潜力,并使用引导重采样来内部验证蛋白质预测因子并调整过度乐观。我们观察到,在极早产儿出生后的最初几天,包括凝血、补体激活、发育和细胞外基质组织在内的关键过程出现了紊乱,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,当每种蛋白单独与出生特征相结合时,其 C 指数为 0.65-0.84(乐观调整 C 指数),这表明它们具有预测 BPD 结果的潜力。综上所述,这项研究表明,在极早产儿出生后 4 小时内就能检测到血浆蛋白的变化,这些极早产儿随后会发展成 BPD,而且蛋白质生物标记物与三种出生特征相结合,有可能预测出生后 72 小时内 BPD 的发展情况。
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来源期刊
CiteScore
11.20
自引率
3.10%
发文量
370
审稿时长
3-8 weeks
期刊介绍: The American Journal of Respiratory Cell and Molecular Biology publishes papers that report significant and original observations in the area of pulmonary biology. The focus of the Journal includes, but is not limited to, cellular, biochemical, molecular, developmental, genetic, and immunologic studies of lung cells and molecules.
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