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罕见病精准医疗的基因组策略:将定制算法整合到临床实践中。

A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice.

作者信息

Méndez-Vidal Cristina, Bravo-Gil Nereida, Pérez-Florido Javier, Marcos-Luque Irene, Fernández Raquel M, Fernández-Rueda José Luis, González-Del Pozo María, Martín-Sánchez Marta, Fernández-Suárez Elena, Mena Marcela, Carmona Rosario, Dopazo Joaquín, Borrego Salud, Antiñolo Guillermo

机构信息

Institute of Biomedicine of Seville, IBiS/University Hospital Virgen del Rocio, CSIC/University of Seville, Seville, Spain.

Centre for Biomedical Network Research on Rare Diseases (CIBERER), Seville, Spain.

出版信息

J Transl Med. 2025 Jan 20;23(1):86. doi: 10.1186/s12967-025-06069-2.

Abstract

BACKGROUND

Despite the use of Next-Generation Sequencing (NGS) as the gold standard for the diagnosis of rare diseases, its clinical implementation has been challenging, limiting the cost-effectiveness of NGS and the understanding, control and safety essential for decision-making in clinical applications. Here, we describe a personalized NGS-based strategy integrating precision medicine into a public healthcare system and its implementation in the routine diagnosis process during a five-year pilot program.

METHODS

Our approach involved customized probe designs, the generation of virtual panels and the development of a personalized medicine module (PMM) for variant prioritization. This strategy was applied to 6500 individuals including 6267 index patients and 233 NGS-based carrier screenings.

RESULTS

Causative variants were identified in 2061 index patients (average 32.9%, ranging from 12 to 62% by condition). Also, 131 autosomal-recessive cases could be partially genetically diagnosed. These results led to over 5000 additional studies including carrier, prenatal and preimplantational tests or pharmacological and gene therapy treatments.

CONCLUSION

This strategy has shown promising improvements in the diagnostic rate, facilitating timely diagnosis and gradually expanding our services portfolio for rare diseases. The steps taken towards the integration of clinical and genomic data are opening new possibilities for conducting both retrospective and prospective healthcare studies. Overall, this study represents a major milestone in the ongoing efforts to improve our understanding and clinical management of rare diseases, a crucial area of medical research and care.

摘要

背景

尽管下一代测序(NGS)被用作罕见病诊断的金标准,但其临床应用一直具有挑战性,限制了NGS的成本效益以及临床应用中决策所需的理解、控制和安全性。在此,我们描述了一种基于个性化NGS的策略,该策略将精准医学整合到公共医疗系统中,并在一项为期五年的试点项目的常规诊断过程中进行了实施。

方法

我们的方法包括定制探针设计、虚拟面板的生成以及用于变异优先级排序的个性化医学模块(PMM)的开发。该策略应用于6500人,包括6267名索引患者和233次基于NGS的携带者筛查。

结果

在2061名索引患者中鉴定出致病变异(平均32.9%,因疾病而异,范围为12%至62%)。此外,131例常染色体隐性病例可以进行部分基因诊断。这些结果导致了5000多项额外的研究,包括携带者、产前和植入前检测或药物和基因治疗。

结论

该策略在诊断率方面显示出有前景的改善,有助于及时诊断,并逐步扩大我们针对罕见病的服务组合。在整合临床和基因组数据方面所采取的步骤为进行回顾性和前瞻性医疗研究开辟了新的可能性。总体而言,这项研究是在提高我们对罕见病的理解和临床管理方面不断努力的一个重要里程碑,罕见病是医学研究和护理的一个关键领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/821e/11748347/2db6244fcbb5/12967_2025_6069_Fig1_HTML.jpg

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