Kit for male azoospermia diagnosis and use method

Abstract

The invention provides a kit for male azoospermia diagnosis and a use method. The kit contains biological marker detection reagents for measuring different expression levels of plasma miR-15b, and azoospermia is prompted by excessive expression of the miR-15b. Tiny RNA (ribonucleic acid) genes miR-15b playing an important role in the sperm generation process are discovered, the miR-15b is differently expressed in male infertility patients, and significant expression change of the miR-15b can be detected in the plasma. Based on the principle of quantitative PCR (polymerase chain reaction), and the kit is fine in result repeatability, objective, accurate and easily popularized in different detection mechanisms, hospital laboratories, male laboratories and the like.

Description

technical field [0001] The invention belongs to the technical field of medical detection, and in particular relates to a kit for diagnosing male infertility and a use method. Background technique [0002] For many years, traditional semen routine analysis has been the most basic clinical indicator for judging male fertility. Clinically, the true cause of infertility in the vast majority of male infertility patients is still unclear. In particular, there are about one-third of infertile patients clinically, and the routine semen analysis results of men are normal or close to normal. Clinically, these patients are classified as unexplained infertility. Therefore, there have been great difficulties in the clinical diagnosis of male infertility for a long time. [0003] Traditional male infertility diagnosis methods use sperm motility analysis, sperm counting and other methods, and these methods have the following characteristics: [0004] 1. The sperm count is affected by m...

AI Technical Summary

Problems solved by technology

[0004] 1. The sperm count is affected by many external factors, such as smoking, drinking, etc., which will cause large fluctuations in the results;

[0005] 2. Sperm motility analysis requires expensive instrumental analysis, and is significantly related to factors such as whether the subject has intercourse recently;

[0006] 3. The current methods are all based on semen detection methods, and the process of collecting samples is relatively cumbersome

The detection method is to extract the DNA of oral epithelial cells from the level of gene polymorphism, observe the correlation between gene polymorphism and azoospermia after gene amplification, and observe the correlation between gene polymorphism and azoospermia from the level of DNA. Variation and azoospermia are only related studies, there is no specific correlation data on the relationship between the detection method and parameters such as sperm production, the sensitivity and specificity are low, and it is not practical

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