Gestational age-specific metabolic biomarkers for early prediction of bronchopulmonary dysplasia following standardized enteral feeding.

IF 2.3 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Pingjiao Gu, Yang Yang, Jipeng Shi, Weiji Li, Qiaoyi Shao, Yiheng Dai
{"title":"Gestational age-specific metabolic biomarkers for early prediction of bronchopulmonary dysplasia following standardized enteral feeding.","authors":"Pingjiao Gu, Yang Yang, Jipeng Shi, Weiji Li, Qiaoyi Shao, Yiheng Dai","doi":"10.1038/s41372-026-02850-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Early prediction of Bronchopulmonary dysplasia (BPD) remains challenging. Utilizing the NRN 2019 definition and a standardized feeding protocol, this study aimed to identify gestational age (GA)-specific metabolic signatures to optimize early prediction.</p><p><strong>Methods: </strong>This retrospective study enrolled 455 preterm infants (GA < 32 weeks). Dried blood spots collected at ~14 days postnatal age following standardized nutritional management were analyzed for 83 metabolites via LC-MS/MS to construct GA-stratified predictive models.</p><p><strong>Results: </strong>Distinct GA-specific metabolic signatures involving specific amino acid and acylcarnitine alterations were identified. Incorporating these biomarkers significantly improved predictive models compared to baseline clinical models: the AUC increased from 0.765 to 0.852 in the GA < 28 weeks subgroup, and from 0.629 to 0.707 in the GA 28-31<sup>+6</sup> weeks subgroup (both P < 0.05).</p><p><strong>Conclusions: </strong>Post-standardized feeding metabolic profiling at 2 weeks captures distinct GA-specific alterations. Integrating these biomarkers with NRN 2019 criteria significantly enhances early BPD prediction, offering clinical utility for targeted risk stratification.</p>","PeriodicalId":16690,"journal":{"name":"Journal of Perinatology","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Perinatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41372-026-02850-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Early prediction of Bronchopulmonary dysplasia (BPD) remains challenging. Utilizing the NRN 2019 definition and a standardized feeding protocol, this study aimed to identify gestational age (GA)-specific metabolic signatures to optimize early prediction.

Methods: This retrospective study enrolled 455 preterm infants (GA < 32 weeks). Dried blood spots collected at ~14 days postnatal age following standardized nutritional management were analyzed for 83 metabolites via LC-MS/MS to construct GA-stratified predictive models.

Results: Distinct GA-specific metabolic signatures involving specific amino acid and acylcarnitine alterations were identified. Incorporating these biomarkers significantly improved predictive models compared to baseline clinical models: the AUC increased from 0.765 to 0.852 in the GA < 28 weeks subgroup, and from 0.629 to 0.707 in the GA 28-31+6 weeks subgroup (both P < 0.05).

Conclusions: Post-standardized feeding metabolic profiling at 2 weeks captures distinct GA-specific alterations. Integrating these biomarkers with NRN 2019 criteria significantly enhances early BPD prediction, offering clinical utility for targeted risk stratification.

标准化肠内喂养后早期预测支气管肺发育不良的胎龄特异性代谢生物标志物。
背景:支气管肺发育不良(BPD)的早期预测仍然具有挑战性。利用NRN 2019定义和标准化喂养方案,本研究旨在确定胎龄(GA)特异性代谢特征,以优化早期预测。方法:这项回顾性研究纳入了455名早产儿(GA)。结果:明确了GA特异性代谢特征,包括特定氨基酸和酰基肉碱的改变。与基线临床模型相比,纳入这些生物标志物显著改善了预测模型:GA +6周亚组的AUC从0.765增加到0.852(均为P结论:2周后标准化喂养代谢分析捕获了明显的GA特异性改变。将这些生物标志物与NRN 2019标准相结合,可显著提高BPD的早期预测,为有针对性的风险分层提供临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Perinatology
Journal of Perinatology 医学-妇产科学
CiteScore
5.40
自引率
6.90%
发文量
284
审稿时长
3-8 weeks
期刊介绍: The Journal of Perinatology provides members of the perinatal/neonatal healthcare team with original information pertinent to improving maternal/fetal and neonatal care. We publish peer-reviewed clinical research articles, state-of-the art reviews, comments, quality improvement reports, and letters to the editor. Articles published in the Journal of Perinatology embrace the full scope of the specialty, including clinical, professional, political, administrative and educational aspects. The Journal also explores legal and ethical issues, neonatal technology and product development. The Journal’s audience includes all those that participate in perinatal/neonatal care, including, but not limited to neonatologists, perinatologists, perinatal epidemiologists, pediatricians and pediatric subspecialists, surgeons, neonatal and perinatal nurses, respiratory therapists, pharmacists, social workers, dieticians, speech and hearing experts, other allied health professionals, as well as subspecialists who participate in patient care including radiologists, laboratory medicine and pathologists.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书