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基于微珠的多重免疫测定法用于鉴定母血清中的新生物标志物以改善孕早期唐氏综合征筛查。

Bead-based multiplexed immunoassays to identify new biomarkers in maternal serum to improve first trimester Down syndrome screening.

作者信息

Koster M P H, Pennings J L A, Imholz S, Rodenburg W, Visser G H A, de Vries A, Schielen P C J I

机构信息

Laboratory for Infectious Diseases and Screening, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands.

出版信息

Prenat Diagn. 2009 Sep;29(9):857-62. doi: 10.1002/pd.2294.

Abstract

OBJECTIVES

To identify new discriminative biomarkers for Down syndrome (DS) pregnancies using a bead-based multiplexed immunoassay, and to use the newly identified biomarkers to construct a prediction model for non-invasive DS screening.

METHODS

Maternal serum samples of 14 DS pregnancies and 15 matched controls were analyzed with a bead-based multiplexed immunoassay containing immunoassays for 90 different analytes. Potential biomarkers were selected on the basis of concentration fold ratios between DS and control samples. For these markers and the current screening markers (pregnancy-associated plasma protein-A, PAPP-A; free beta subunit of human chorion gonadotrophin (fbeta-hCG) and nuchal translucency) prediction values were obtained and used to calculate detection rates (DR) at a 5% false positive rate.

RESULTS

Seven potential biomarkers of which the fold ratio exceeded 1.3 or -1.3 were selected for further analysis. All 14 DS cases in this study were detected using the combination of all currently used and newly identified markers. The modelled DR for all markers extrapolated to the general pregnant population was 82.5%, compared to a modelled DR of 56.2% for the current screening markers.

CONCLUSION

This study demonstrates the possibility of improving the performance of the current first-trimester DS screening by addition of new biomarkers, which were identified using bead-based multiplexed immunoassays.

摘要

目的

使用基于微珠的多重免疫测定法鉴定唐氏综合征(DS)妊娠的新鉴别生物标志物,并使用新鉴定的生物标志物构建非侵入性DS筛查的预测模型。

方法

采用包含90种不同分析物免疫测定的基于微珠的多重免疫测定法,分析14例DS妊娠孕妇和15例匹配对照的母血清样本。根据DS样本与对照样本之间的浓度倍数比选择潜在生物标志物。对于这些标志物以及当前的筛查标志物(妊娠相关血浆蛋白-A,PAPP-A;人绒毛膜促性腺激素游离β亚基(fβ-hCG)和颈项透明层),获得预测值并用于计算5%假阳性率时的检测率(DR)。

结果

选择了7种倍数比超过1.3或-1.3的潜在生物标志物进行进一步分析。本研究中的所有14例DS病例均使用所有当前使用的和新鉴定的标志物组合进行检测。外推至一般孕妇人群的所有标志物的模拟DR为82.5%,而当前筛查标志物的模拟DR为56.2%。

结论

本研究证明了通过添加使用基于微珠的多重免疫测定法鉴定的新生物标志物来提高当前孕早期DS筛查性能的可能性。

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