Clinical application progress and prospects of non-invasive preimplantation genetic testing (niPGT): A review

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Clinica Chimica Acta Pub Date : 2026-05-15 Epub Date: 2026-03-06 DOI:10.1016/j.cca.2026.120945
Shaozhe Yang , Rongxiang Li , Bo Xu , Yongyong Wu , Junfeng Li , Xiuhong Fu
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Abstract

Preimplantation genetic testing (PGT) is a critical tool in reproductive medicine for selecting genetically healthy embryos, thereby reducing the risk of congenital disabilities. However, conventional PGT relies on invasive embryo biopsy, which carries risks of embryo damage and diagnostic challenges related to mosaicism. Non-invasive preimplantation genetic testing (niPGT), which analyzes embryonic cell-free DNA (cfDNA) from spent culture medium or blastocoel fluid, has emerged as a promising and safer alternative. This review provides a comprehensive overview of the principles, clinical applications, challenges, and future prospects of niPGT. Although some initial studies have indicated a correlation between niPGT for aneuploidy and the overall embryo or inner cell mass, its potential as an embryo sorting tool is hindered in clinical practice by the lack of reliability in its results. This issue could result in inaccurate assessments of viable embryos. Key challenges hindering its widespread adoption include low cfDNA yield leading to amplification failure, maternal and exogenous DNA contamination, the diagnostic dilemma of embryonic mosaicism, and a profound lack of standardized laboratory protocols. Future progress in the field will depend on technological innovations in cfDNA analysis, the integration of multi-omics data with artificial intelligence for comprehensive embryo assessment, and, most critically, large-scale clinical validation through randomized controlled trials. Establishing standardized guidelines and robust ethical frameworks is imperative for the responsible transition of niPGT from a promising research method to a reliable clinical tool.
无创植入前基因检测(niPGT)的临床应用进展及展望
胚胎植入前基因检测(PGT)是生殖医学中选择基因健康的胚胎,从而降低先天性残疾风险的重要工具。然而,传统的PGT依赖于侵入性胚胎活检,这有胚胎损伤的风险和与嵌合相关的诊断挑战。无创植入前基因检测(niPGT)是一种从废培养基或囊胚液中分析胚胎无细胞DNA (cfDNA)的技术,已成为一种有前景且更安全的替代方法。本文综述了niPGT的原理、临床应用、挑战和未来前景。尽管一些初步研究表明niPGT与胚胎整体或内细胞质量之间存在相关性,但由于其结果缺乏可靠性,其作为胚胎分选工具的潜力在临床实践中受到阻碍。这个问题可能导致对可存活胚胎的不准确评估。阻碍其广泛采用的主要挑战包括低cfDNA产率导致扩增失败,母体和外源DNA污染,胚胎嵌合的诊断困境,以及严重缺乏标准化的实验室协议。该领域的未来进展将取决于cfDNA分析的技术创新,多组学数据与人工智能的整合,以进行全面的胚胎评估,最关键的是,通过随机对照试验进行大规模临床验证。建立标准化的指导方针和健全的伦理框架对于niPGT从一种有前途的研究方法向可靠的临床工具的负责任过渡至关重要。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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