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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
girl完成签到,获得积分10
1秒前
ycg完成签到,获得积分10
1秒前
1秒前
无咎完成签到,获得积分10
1秒前
儒雅沛凝完成签到,获得积分10
1秒前
执笔画流年完成签到,获得积分10
1秒前
123完成签到,获得积分10
1秒前
天外来物完成签到 ,获得积分10
2秒前
byyyy完成签到,获得积分10
2秒前
2秒前
火星上大白菜完成签到,获得积分10
2秒前
热心的诗蕊完成签到,获得积分10
2秒前
w9412完成签到,获得积分10
3秒前
3秒前
4秒前
黄玲完成签到,获得积分10
4秒前
zhangsen完成签到,获得积分10
4秒前
zzy完成签到,获得积分10
4秒前
斯文败类应助景笑天采纳,获得10
4秒前
吴开珍完成签到 ,获得积分10
4秒前
wen完成签到,获得积分10
4秒前
bgxb完成签到,获得积分10
4秒前
meng完成签到,获得积分10
5秒前
cp完成签到,获得积分10
5秒前
5秒前
win97完成签到,获得积分10
5秒前
小马甲应助干净的纸飞机采纳,获得30
6秒前
dayan完成签到,获得积分10
6秒前
Hello应助唔昂wang采纳,获得20
6秒前
不舍天真完成签到,获得积分10
7秒前
Frank完成签到,获得积分20
7秒前
肥波完成签到,获得积分10
7秒前
花火妖妖完成签到,获得积分10
7秒前
溜溜溜溜溜完成签到,获得积分10
7秒前
7秒前
xo80完成签到 ,获得积分10
7秒前
7秒前
葛溢应助77最可爱采纳,获得10
8秒前
姜忆莲发布了新的文献求助10
8秒前
小蚊子完成签到,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7694528
求助须知:如何正确求助?哪些是违规求助? 9254900
关于积分的说明 19992832
捐赠科研通 7268284
什么是DOI,文献DOI怎么找? 3292084
关于科研通互助平台的介绍 2448075
邀请新用户注册赠送积分活动 2297528