E. Panacheva, E. Kudryavtseva, D. Zornikov, EE Plotko, VM Petrov, E. Voroshilina
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Semen parameters were evaluated in accordance with the WHO standards and semen microbiota composition was determined by means of real-time PCR. Discriminant analysis was used for development of the prognostic model. We developed a method for predicting efficiency of the embryological IVF stage in normozoospermia: EGO-Pro-N prognostic index (Embryos of GOod and Excellent quality Prognosis in Normozoospermia). If the EGO-Pro-N value is greater than 0.212, the probability of receiving GBDR ≥ 40% is low. Conversely, if the EGO-Pro-N value is less than or equal to 0.212, the probability is high. Sensitivity and specificity of the method were 71.9% and 70.0% respectively, accuracy was 70.9%. 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引用次数: 0
摘要
获得足够的优质胚胎是使用辅助生殖技术实现妊娠的关键因素之一。本工作旨在建立一个基于正常精子症精液微生物群评估的预测优质和优质胚胎的数学模型。这项研究包括127名男性,他们的精液被用于体外受精(IVF)。根据培养第5天优质囊胚发育率(good-quality blastocyst development rate, GBDR)将患者分为2组。第一组纳入GBDR≥40%患者57例,第二组纳入GBDR < 40%患者70例。所有患者的精液在受精当天进行评估。按照WHO标准评价精液参数,采用实时荧光定量PCR法测定精液微生物群组成。判别分析用于发展预后模型。我们开发了一种预测正常精子症胚胎IVF阶段效率的方法:EGO-Pro-N预后指数(正常精子症胚胎良好和极好预后)。如果EGO-Pro-N值大于0.212,则接受GBDR≥40%的概率较低。反之,如果EGO-Pro-N值小于等于0.212,则概率较高。方法灵敏度为71.9%,特异度为70.0%,准确度为70.9%。开发的模型使我们能够在体外受精前根据对正常精子症患者精液微生物群的综合评估来预测优质和优质胚胎。
Predicting the blastocyst development rate during assisted reproductive technologies based on semen microbiota
Obtaining enough good and excellent quality embryos is one of the key factors for achieving pregnancy using assisted reproductive technologies. This work was aimed at developing a mathematical model for predicting good and excellent quality embryos based on semen microbiota assessment in normozoospermia. The study included 127 men whose semen was used for in vitro fertilization (IVF). Patients were divided into 2 groups depending on the proportion of good-quality blastocyst developed on the 5th day of culturing (good-quality blastocyst development rate, GBDR). The 1st group included 57 patients with GBDR ≥ 40%, the 2nd group included 70 patients with GBDR < 40%. All patients’ semen was assessed at the day of fertilization. Semen parameters were evaluated in accordance with the WHO standards and semen microbiota composition was determined by means of real-time PCR. Discriminant analysis was used for development of the prognostic model. We developed a method for predicting efficiency of the embryological IVF stage in normozoospermia: EGO-Pro-N prognostic index (Embryos of GOod and Excellent quality Prognosis in Normozoospermia). If the EGO-Pro-N value is greater than 0.212, the probability of receiving GBDR ≥ 40% is low. Conversely, if the EGO-Pro-N value is less than or equal to 0.212, the probability is high. Sensitivity and specificity of the method were 71.9% and 70.0% respectively, accuracy was 70.9%. The developed model allows us to predict good and excellent quality embryos based on comprehensive semen microbiota assessment in normozoospermia before IVF.
期刊介绍:
Bulletin of Russian State Medical University (Bulletin of RSMU, ISSN Print 2500–1094, ISSN Online 2542–1204) is a peer-reviewed medical journal of Pirogov Russian National Research Medical University (Moscow, Russia). The original language of the journal is Russian (Vestnik Rossiyskogo Gosudarstvennogo Meditsinskogo Universiteta, Vestnik RGMU, ISSN Print 2070–7320, ISSN Online 2070–7339). Founded in 1994, it is issued once every two months publishing articles on clinical medicine and medical and biological sciences, first of all oncology, neurobiology, allergy and immunology, medical genetics, medical microbiology and infectious diseases. Every issue is thematic. Deadlines for manuscript submission are announced in advance. The number of publications on topics in spite of the issue topic is limited. The journal accepts only original articles submitted by their authors, including articles that present methods and techniques, clinical cases and opinions. Authors must guarantee that their work has not been previously published elsewhere in whole or in part and in other languages and is not under consideration by another scientific journal. The journal publishes only one review per issue; the review is ordered by the editors.