The influence of vaginal microbiota on the pregnancy outcome of artificial insemination with husband's sperm based on microscope images combined with PCR fluorescence method.

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-12-24 DOI:10.1016/j.slast.2024.100242
Yanling Xing, Wei Wang, Na Wan, Dongmei Zhang, Mei Shan, Guan Wang
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引用次数: 0

Abstract

The vaginal microbiota plays an important role in reproductive health, especially in the process of artificial insemination. The imbalance of microbiota may affect pregnancy outcomes. Therefore, this study aims to explore the composition of vaginal microbiota and its impact on artificial insemination pregnancy outcomes, combined with microscopic images and PCR fluorescence methods, in order to provide scientific basis for improving the pregnancy outcomes of husband sperm artificial insemination. This study included female patients who underwent artificial insemination with husband's sperm and collected reproductive tract samples. By observing the microbial community morphology in the sample under a microscope and analyzing microbial DNA using PCR fluorescence method, the microbial ecological status is evaluated. Among women with successful pregnancy, the proportion of beneficial bacteria (such as lactic acid bacteria) is higher, while the abundance of pathogenic bacteria is significantly reduced. Specific microbial markers detected by PCR fluorescence method are positively correlated with pregnancy rate. Therefore, the microecological state of the female reproductive tract has a significant impact on the pregnancy outcome of artificial insemination. Maintaining a good microecological balance, especially increasing the proportion of beneficial bacteria, can help improve the success rate of artificial insemination.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
期刊最新文献
Corrigendum to "Artificial intelligence-driven predictive framework for early detection of still birth" [SLAS Technology Volume 29, Issue 6, 100203, December 2024]. How to convert a 3D printer to a personal automated liquid handler for life science workflows. Automation and miniaturization of high-throughput qPCR for gene expression profiling. The influence of vaginal microbiota on the pregnancy outcome of artificial insemination with husband's sperm based on microscope images combined with PCR fluorescence method. Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation.
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