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

蛋白质组 医学 计算生物学 生物 生物信息学 内科学
作者
Prue M. Pereira‐Fantini,Sean Byars,C. Omar F. Kamlin,Brett J. Manley,Peter G. Davis,David G. Tingay
出处
期刊:American Journal of Respiratory Cell and Molecular Biology [American Thoracic Society]
卷期号:71 (6): 677-687 被引量:2
标识
DOI:10.1165/rcmb.2024-0034oc
摘要

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.
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