Department of Pediatrics, Peking University Shenzhen Hospital, Shenzhen, China.
Department of Pediatrics, Division of Neonatology, Nanshan Maternity & Child Healthcare Hospital, Shenzhen, China.
Ital J Pediatr. 2024 Nov 14;50(1):246. doi: 10.1186/s13052-024-01812-9.
Numerous studies have attempted to identify potential biomarkers for early detection of bronchopulmonary dysplasia (BPD) in preterm infants using metabolomics techniques. However, the presence of consistent evidence remains elusive. Our study aimed to conduct a systematic review and meta-analysis to identify differences in small-molecule metabolites between BPD and non-BPD preterm infants. Through meticulous screening of numerous samples, we identified promising candidates, providing valuable insights for future research. We searched PubMed, the Cochrane Library, Embase, Web of Science, China National Knowledge Internet, Wan-fang database, Chinese Science and Technique Journal Database and Chinese Biomedical Literature Database from inception until January 16, 2024. Studies were comprehensively reviewed against inclusion criteria. We included case-control studies and adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Study quality was assessed with the Newcastle-Ottawa scale. We compared the changes in metabolite levels between the BPD and non-BPD preterm infants. A meta-analysis was conducted on targeted metabolomics research data based on the strategy of standardized mean differences (MD) and 95% confidence intervals (CI).Fifteen studies (1357 participants) were included. These clinical-based metabolomics studies clarified 110 differential metabolites between BPD and non-BPD preterm infants. The meta-analysis revealed higher glutamate concentration in the BPD group compared to the non-BPD group (MD = 1, 95% CI 0.59 to 1.41, p < 0.00001). Amino acids were identified as the key metabolites distinguishing preterm infants with and without BPD, with glutamate potentially serving as a BPD predictor in this population.
许多研究试图使用代谢组学技术来确定用于早产儿支气管肺发育不良（BPD）早期检测的潜在生物标志物。然而，仍然难以找到一致的证据。我们的研究旨在进行系统评价和荟萃分析，以确定 BPD 和非 BPD 早产儿之间小分子代谢物的差异。通过对大量样本进行细致筛选，我们确定了有前途的候选物，为未来的研究提供了有价值的见解。我们检索了 PubMed、Cochrane 图书馆、Embase、Web of Science、中国国家知识基础设施、万方数据库、中国科技期刊数据库和中国生物医学文献数据库，检索时间从建库至 2024 年 1 月 16 日。根据纳入标准对研究进行了全面审查。我们纳入了病例对照研究，并遵循系统评价和荟萃分析的首选报告项目。使用纽卡斯尔-渥太华量表评估研究质量。我们比较了 BPD 和非 BPD 早产儿之间代谢物水平的变化。基于标准化均数差（MD）和 95%置信区间（CI）的策略，对靶向代谢组学研究数据进行了荟萃分析。纳入了 15 项研究（1357 名参与者）。这些基于临床的代谢组学研究阐明了 110 种 BPD 和非 BPD 早产儿之间的差异代谢物。荟萃分析显示，BPD 组谷氨酸浓度高于非 BPD 组（MD=1，95%CI 0.59 至 1.41，p<0.00001）。氨基酸被确定为区分有和没有 BPD 的早产儿的关键代谢物，谷氨酸可能是该人群中 BPD 的预测因子。
