Molecular Testing in Sickle Cell Disease: From Newborn Screening to Transfusion Care

镰状细胞病分子检测:从新生儿筛查到输血护理

阅读:2

Abstract

Sickle cell disease (SCD) is one of the most frequent monogenic diseases worldwide and a highly heterogeneous and complex disease. SCD care carries several challenges. This includes early and accurate diagnosis as well as optimal red blood cell transfusion matching in this population carrying a high risk of alloimmunization. For decades, molecular biology has used hemoglobin and SCD as models for the development of several molecular tools. Such tools can now be used for various aspects of SCD care. Molecular diagnosis is notably the root of noninvasive prenatal testing. In postnatal diagnosis, including newborn screening, molecular approaches can overcome several limitations of protein-based methods. Simple approaches such as polymerase chain reaction can be used as a high-throughput and low-cost screening test. Moreover, combining sequence and deletion analyses allows for a comprehensive study of the β-globin locus, resolving complex cases. In transfusion care, genotyping for blood group determination has been shown to be more accurate compared to protein-based serological testing. Future development of molecular testing in SCD includes their use as prognostic tools and recent molecular diagnosis approaches. However, despite carrying major advantages, molecular testing may also present some limitations, such as high cost, limited accessibility in many countries, and limited information using targeted approaches. Molecular testing has a different pattern of advantages and limitations than protein-based analyses. Therefore, the optimal use of molecular testing is frequently not as a standalone approach but in combination with protein-based techniques. The optimal combination depends on the resources available and the clinical challenge, to ultimately improve SCD care.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。