首页> 美国卫生研究院文献>Journal of Medical Genetics >Biochemical analysis of cultured chorionic villi for the prenatal diagnosis of peroxisomal disorders: biochemical thresholds and molecular sensitivity for maternal cell contamination detection
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Biochemical analysis of cultured chorionic villi for the prenatal diagnosis of peroxisomal disorders: biochemical thresholds and molecular sensitivity for maternal cell contamination detection

机译:培养的绒毛膜绒毛的生化分析用于产前诊断过氧化物酶体紊乱:母体细胞污染检测的生化阈值和分子敏感性

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摘要

>Objectives: The prenatal diagnosis of peroxisomal disorders is most often performed by biochemical analysis of cultured chorionic villus sample (CVS) or amniocytes. We aimed to (a) highlight the risk of maternal cell contamination (MCC) in biochemical prenatal diagnosis, (b) establish the threshold of these biochemical assays to MCC, and (c) document the sensitivity of PCR based genotyping of microsatellites for the detection of MCC in prenatal diagnosis of inborn errors by biochemical analysis. >Methods: The threshold of each biochemical assay was assessed by co-cultivating fibroblasts from known affected and normal individuals. Genotypes for three polymorphic loci were determined by PCR and GeneScan analysis. The sensitivity of the molecular test was determined by DNA mixing experiments and isolation of DNA from co-cultivated fibroblasts. >Results: MCC was detected in 2.5% of at risk CVS cultures (n = 79). Co-cultivation of defective and normal fibroblasts demonstrated that the peroxisomal biochemical assays were accurate at 25% contamination. Very low level DNA or cell contamination (1–5%) was detectable by genotyping, but an allele did not yield a definitive peak based on morphology until ∼10% contamination. Furthermore, we demonstrated that other inborn errors of metabolism might be more susceptible to diagnostic error by low level MCC. >Conclusion: The sensitivity of the microsatellite analysis (⩾10%) is well within the threshold of peroxisomal biochemical assays. Although peroxisomal biochemical assays would not be predicted to introduce a false positive or negative result if MCC <10% were present but not recognised by molecular analysis, the same may not be true for other inborn errors of metabolism.
机译:>目的:过氧化物酶体异常的产前诊断通常是通过对培养的绒毛膜绒毛样品(CVS)或羊膜细胞进行生化分析来进行的。我们旨在(a)在生化产前诊断中强调母体细胞污染(MCC)的风险,(b)确定这些生化测定对MCC的阈值,(c)记录基于PCR的微卫星基因分型对检测的敏感性生化分析检测MCC在产前诊断先天性错误中的作用。 >方法:通过共培养来自已知患病个体和正常个体的成纤维细胞来评估每种生化测定的阈值。通过PCR和GeneScan分析确定三个多态性基因座的基因型。通过DNA混合实验和从共培养的成纤维细胞中分离DNA来确定分子测试的敏感性。 >结果:在2.5%的高风险CVS培养物中检测到MCC(n = 79)。缺陷和正常成纤维细胞的共培养表明,过氧化物酶体生物化学测定在25%污染下是准确的。通过基因分型可以检测到极低水平的DNA或细胞污染(1-5%),但是等位基因直到〜10%污染才产生基于形态的确定峰。此外,我们证明了其他先天性代谢错误可能更容易受到低水平MCC诊断错误的影响。 >结论:微卫星分析的灵敏度(⩾10%)完全在过氧化物酶体生化分析的阈值之内。尽管如果存在MCC <10%但分子分析无法识别的话,过氧化物酶体生物化学测定将不会被预测为假阳性或阴性结果,但其他先天性代谢错误可能并非如此。

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