Suppr超能文献

羊水中超氧化物歧化酶 2 和瘦素的含量可能是预测胎龄和早产的生物标志物。

The abundances of LTF and SOD2 in amniotic fluid are potential biomarkers of gestational age and preterm birth.

机构信息

Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and, Chang Gung University College of Medicine, Kaohsiung, Taiwan.

Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taizhong, Taiwan.

出版信息

Sci Rep. 2023 Mar 25;13(1):4903. doi: 10.1038/s41598-023-31486-y.

Abstract

Neonates who are born preterm (PT) are usually characterized by immature physiological development, and preterm birth (PTB) is the leading cause of neonatal morbidity and mortality if intensive medical care is not available to PTB neonates. Early prediction of a PTB enables medical personnel to make preparations in advance, protecting the neonate from the subsequent health risks. Therefore, many studies have worked on identifying invasive or noninvasive PT biomarkers. In this study, we collected amniocentesis-derived (at the second trimester of gestation) amniotic fluid (AF) samples. At delivery, AF samples were classified into PTB or full-term birth (FTB). We first applied protein mass spectrometry technology to globally screen AF proteins, followed by specific protein validation with ELISA. We identified four protein biomarkers of PTB, including lactotransferrin (LTF), glutathione-disulfide reductase (GSR), myeloperoxidase (MPO) and superoxide dismutase 2 (SOD2). Further analyses demonstrated that their abundances were negatively correlated with neonatal weight and gestational age. In addition, by mimicking survival rate analysis widely used in tumor biology, we found that LTF and SOD2 were prognostic factors of gestational age, with higher levels denoting shorter gestational age. Finally, using the abundances of the four protein biomarkers, we developed a prediction model of PTB with an auROC value of 0.935 (sensitivity = 0.94, specificity = 0.89, p value = 0.0001). This study demonstrated that the abundances of specific proteins in amniotic fluid were not only the prognostic factors of gestational age but also the predictive biomarkers of PTB. These four AF proteins enable identification of PTB early in the second trimester of gestation, facilitating medical intervention to be applied in advance.

摘要

早产儿通常表现出不成熟的生理发育特征,如果没有为早产儿提供强化医疗护理,早产是导致新生儿发病率和死亡率的主要原因。早产的早期预测可以使医务人员提前做好准备,保护新生儿免受后续的健康风险。因此,许多研究都致力于识别侵袭性或非侵袭性的早产生物标志物。在这项研究中,我们收集了羊膜穿刺术获得的(妊娠中期)羊水(AF)样本。分娩时,将 AF 样本分为早产或足月产(FTB)。我们首先应用蛋白质质谱技术对 AF 蛋白进行全局筛选,然后用 ELISA 对特定蛋白进行验证。我们确定了 4 种早产的蛋白生物标志物,包括乳铁传递蛋白(LTF)、谷胱甘肽二硫化物还原酶(GSR)、髓过氧化物酶(MPO)和超氧化物歧化酶 2(SOD2)。进一步的分析表明,它们的丰度与新生儿体重和胎龄呈负相关。此外,通过模拟广泛应用于肿瘤生物学的存活率分析,我们发现 LTF 和 SOD2 是胎龄的预后因素,水平越高表示胎龄越短。最后,我们使用这 4 种蛋白生物标志物的丰度,建立了一个早产预测模型,其 auROC 值为 0.935(灵敏度=0.94,特异性=0.89,p 值=0.0001)。这项研究表明,羊水特定蛋白的丰度不仅是胎龄的预后因素,也是早产的预测生物标志物。这 4 种 AF 蛋白可以在妊娠中期早期识别早产,便于提前进行医疗干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d68c/10039869/808f9a81f02c/41598_2023_31486_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验