Soczyńska Julia, Gawełczyk Wiktor, Papierkowska Julia, Muzyka Adrian, Majcherczyk Krzysztof, Obrycka Patrycja, Żołyniak Mateusz, Woźniak Sławomir
Department of Human Morphology and Embryology, Student Scientific Society Anatomia-Klinika-Nauka, Division of Anatomy, Wroclaw Medical University, Wroclaw, Poland.
Student Scientific Group of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland.
Front Cell Dev Biol. 2025 Aug 29;13:1619050. doi: 10.3389/fcell.2025.1619050. eCollection 2025.
The increasing prevalence of marital infertility and the persistent desire for offspring have become more significant issues over past decades. Considering the potential genetic, hormonal, and anatomical causes, it is evident that the analysis of infertility is complex, necessitating the development of innovative therapies to address various challenges and dilemmas. The interdisciplinary collaboration of multiple fields fosters scientific progress, such as the development of new research models, reproductive mini-organoids, enhancing the chances of successful parenthood even in challenging cases. Since the fifth decade of the 20th centurymarked by the fertilization of an egg cell, the birth of Louise Brown (the first test-tube baby), the methods of embryo cryopreservation, the discovery of induced pluripotent stem cells (iPSC), and the genetic editing technology CRISPR-Cas9-research has been advancing towards promising directions for studying infertility causes and testing potential therapeutic interventions in controlled conditions. Gene therapy stands as a significant pillar, with 2017 witnessing promising experimental advancements in repairing mutations responsible for hypertrophic cardiomyopathy. Attempts were also made to create Human Immunodeficiency Virus (HIV) immunity by disabling the CCR5 gene, leading to the birth of twins with this variation. Progress in innovative therapies has kept pace with advancements in artificial intelligence, poised to revolutionize reproductive medicine by minimizing human errors. Machine learning (ML) algorithms are being integrated into embryo selection processes, predicting their implantation potential, raising concerns among various nations about eugenics and the interference with human nature. These concerns form a highly debated legal and political pillar. The growing automation is driven by arguments related to the increasing problems of future challenges, such as environmental changes or declining gamete quality. Scenarios under consideration include the development of advanced assisted reproduction technologies and support programs. Theoretical possibilities of alternative methods for organism development are being explored, though they remain constrained by the necessity of rigorous human studies.
在过去几十年里,婚姻不育患病率的上升以及对生育的持续渴望已成为更为重要的问题。考虑到潜在的遗传、激素和解剖学原因,不育分析显然很复杂,需要开发创新疗法来应对各种挑战和困境。多个领域的跨学科合作促进了科学进步,比如新研究模型、生殖微型类器官的开发,即使在具有挑战性的情况下也能增加成功生育的机会。自20世纪五十年代以卵细胞受精、路易丝·布朗(首例试管婴儿)诞生、胚胎冷冻保存方法、诱导多能干细胞(iPSC)的发现以及基因编辑技术CRISPR-Cas9为标志以来,研究一直在朝着有前景的方向推进,以研究不育原因并在可控条件下测试潜在的治疗干预措施。基因治疗是一个重要支柱,2017年在修复导致肥厚性心肌病的突变方面取得了有前景的实验进展。人们还尝试通过使CCR5基因失活来创造对人类免疫缺陷病毒(HIV)的免疫力,导致带有这种变异的双胞胎出生。创新疗法的进展与人工智能的进步同步,有望通过减少人为错误来彻底改变生殖医学。机器学习(ML)算法正被整合到胚胎选择过程中,预测其着床潜力,这在各个国家引发了对优生学和对人性干扰的担忧。这些担忧构成了一个备受争议的法律和政治支柱。日益增长的自动化是由与未来挑战(如环境变化或配子质量下降)日益增多的问题相关的论点推动的。正在考虑的方案包括先进辅助生殖技术和支持计划的开发。正在探索生物体发育替代方法的理论可能性,不过它们仍受严格人体研究必要性的限制。