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支气管肺发育不良早期检测中疾病特异性生物标志物的验证。

Validation of disease-specific biomarkers for the early detection of bronchopulmonary dysplasia.

机构信息

Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.

Department of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.

出版信息

Pediatr Res. 2023 Feb;93(3):625-632. doi: 10.1038/s41390-022-02093-w. Epub 2022 May 20.

Abstract

OBJECTIVE

To demonstrate and validate the improvement of current risk stratification for bronchopulmonary dysplasia (BPD) early after birth by plasma protein markers (sialic acid-binding Ig-like lectin 14 (SIGLEC-14), basal cell adhesion molecule (BCAM), angiopoietin-like 3 protein (ANGPTL-3)) in extremely premature infants.

METHODS AND RESULTS

Proteome screening in first-week-of-life plasma samples of n = 52 preterm infants <32 weeks gestational age (GA) on two proteomic platforms (SomaLogic, Olink-Proteomics) confirmed three biomarkers with significant predictive power: BCAM, SIGLEC-14, and ANGPTL-3. We demonstrate high sensitivity (0.92) and specificity (0.86) under consideration of GA, show the proteins' critical contribution to the predictive power of known clinical risk factors, e.g., birth weight and GA, and predicted the duration of mechanical ventilation, oxygen supplementation, as well as neonatal intensive care stay. We confirmed significant predictive power for BPD cases when switching to a clinically applicable method (enzyme-linked immunosorbent assay) in an independent sample set (n = 25, p < 0.001) and demonstrated disease specificity in different cohorts of neonatal and adult lung disease.

CONCLUSION

While successfully addressing typical challenges of clinical biomarker studies, we demonstrated the potential of BCAM, SIGLEC-14, and ANGPTL-3 to inform future clinical decision making in the preterm infant at risk for BPD.

TRIAL REGISTRATION

Deutsches Register Klinische Studien (DRKS) No. 00004600; https://www.drks.de .

IMPACT

The urgent need for biomarkers that enable early decision making and personalized monitoring strategies in preterm infants with BPD is challenged by targeted marker analyses, cohort size, and disease heterogeneity. We demonstrate the potential of the plasma proteins BCAM, SIGLEC-14, and ANGPTL-3 to identify infants with BPD early after birth while improving the predictive power of clinical variables, confirming the robustness toward proteome assays and proving disease specificity. Our comprehensive analysis enables a phase-III clinical trial that allows full implementation of the biomarkers into clinical routine to enable early risk stratification in preterms with BPD.

摘要

目的

通过检测极早产儿出生后第一周血浆中的蛋白标志物(唾液酸结合免疫球蛋白样凝集素 14(SIGLEC-14)、基底细胞黏附分子(BCAM)、血管生成素样蛋白 3(ANGPTL-3)),验证并改善现有的支气管肺发育不良(BPD)风险分层方法。

方法和结果

在两个蛋白质组学平台(SomaLogic、Olink-Proteomics)上对 52 名胎龄<32 周的极早产儿出生后第一周的血浆样本进行蛋白质组筛选,确认了 3 种具有显著预测能力的生物标志物:BCAM、SIGLEC-14 和 ANGPTL-3。我们证明了这些蛋白在考虑胎龄的情况下具有较高的灵敏度(0.92)和特异性(0.86),并显示了它们对已知临床危险因素(如出生体重和胎龄)预测能力的重要贡献,同时还可以预测机械通气时间、氧疗时间和新生儿重症监护病房住院时间。在另一项独立样本集(n=25)中,我们使用一种更具临床实用性的方法(酶联免疫吸附测定法)验证了这些蛋白的显著预测能力(p<0.001),并在不同的新生儿和成人肺部疾病队列中证明了其疾病特异性。

结论

虽然成功地解决了临床生物标志物研究中的典型挑战,但我们证明了 BCAM、SIGLEC-14 和 ANGPTL-3 具有潜在的临床应用价值,可以为有发生 BPD 风险的早产儿的未来临床决策提供信息。

临床试验注册

德国临床试验注册中心(DRKS)编号:00004600;https://www.drks.de。

影响

需要有生物标志物来帮助极早产儿在发生 BPD 后早期做出决策并进行个性化监测,但目前的靶向标志物分析、队列规模和疾病异质性等因素都带来了挑战。我们证明了血浆蛋白 BCAM、SIGLEC-14 和 ANGPTL-3 具有早期识别 BPD 患儿的潜力,同时还提高了临床变量的预测能力,证实了该方法对蛋白质组检测的稳健性,并证明了其疾病特异性。我们的综合分析可以开展 III 期临床试验,将这些生物标志物全面应用于临床常规,以便在有 BPD 风险的早产儿中进行早期风险分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab7d/9988689/9ce143476b34/41390_2022_2093_Fig1_HTML.jpg

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