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蛋白质组学在胎儿非整倍体及妊娠并发症诊断中的应用。

Application of proteomics for diagnosis of fetal aneuploidies and pregnancy complications.

作者信息

Kolialexi Aggeliki, Anagnostopoulos Athanasios K, Mavrou Ariadni, Tsangaris George Th

机构信息

Medical Genetics, Athens University School of Medicine, Athens, Greece.

出版信息

J Proteomics. 2009 Jul 21;72(5):731-9. doi: 10.1016/j.jprot.2009.03.005. Epub 2009 Mar 28.

Abstract

Proteomic technologies represent new strategies towards high-throughput, simultaneous analysis of thousands of biological molecules leading to the discovery of biomarkers for early diagnosis, prognosis and prediction of pregnancy outcome. Proteomics have additional relevance in understanding pathophysiology and the development of molecularly targeted therapeutics. Comparison of normal human amniotic fluid proteome with that coming from pregnancies carrying fetuses with chromosomal abnormalities facilitated the detection of panels of potential biomarkers for prenatal detection of fetal aneuploidies. Candidate biomarkers for the early prediction of preeclampsis are also available, while four biomarkers (defensins-2 and -1, calgranulin-C, and calgranulin-A), which were called the "MR score", can quickly and accurately detect potentially dangerous infections and predict premature birth. Researchers remain hopeful that proteomic studies will allow for the identification of either one protein marker or of a panel of markers for prenatal detection of fetal aneuploidies and pregnancy complications that could be usefully employed for diagnostic purposes or improvement of the current screening methods. For maximum predictive power however, biomarkers should be selected for further comparative analysis of expression and structural modifications in large numbers of samples from chromosomally normal and abnormal pregnancies obtained from different populations.

摘要

蛋白质组学技术代表了高通量同时分析数千种生物分子的新策略,有助于发现用于早期诊断、预后评估以及预测妊娠结局的生物标志物。蛋白质组学在理解病理生理学以及分子靶向治疗药物的研发方面也具有重要意义。将正常人类羊水蛋白质组与携带染色体异常胎儿的妊娠羊水蛋白质组进行比较,有助于检测出用于产前检测胎儿非整倍体的潜在生物标志物组合。子痫前期早期预测的候选生物标志物也已出现,而四种被称为“MR评分”的生物标志物(防御素-2和-1、钙粒蛋白-C和钙粒蛋白-A)能够快速准确地检测潜在危险感染并预测早产。研究人员仍然希望,蛋白质组学研究能够识别出一种蛋白质标志物或一组标志物,用于产前检测胎儿非整倍体和妊娠并发症,这些标志物可有效地用于诊断目的或改进当前的筛查方法。然而,为了获得最大的预测能力,应选择生物标志物,以便对来自不同人群的大量染色体正常和异常妊娠样本中的表达和结构修饰进行进一步比较分析。

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