Primer set and application thereof, and training method of bacterial vaginosis diagnosis model
By combining multiplex PCR primer sets and high-throughput sequencing with machine learning models, the insufficient sensitivity and specificity of BV detection in existing technologies have been addressed, achieving efficient and low-cost BV diagnosis that is suitable for clinical applications.
CN120866543BActive Publication Date: 2026-06-19PEOPLES HOSPITAL PEKING UNIV +1
Patent Information
- Application Number
- CN202510773517.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-11
- Publication Date
- 2026-06-19
- Estimated Expiration
- 2045-06-11
AI Technical Summary
Technical Problem
Existing technologies lack sufficient sensitivity and specificity in BV detection, failing to fully reflect the vaginal microbiome structure. Furthermore, the high cost and complex operation of these technologies make them difficult to popularize in clinical practice.
Method used
We used multiplex PCR primers for targeted amplification, combined with high-throughput sequencing and machine learning models, to detect 12 target pathogens and construct a diagnostic model for bacterial vaginosis.
Benefits of technology
It achieves high sensitivity and specificity in BV detection, covers more pathogens, simplifies operation, reduces costs, and is suitable for clinical applications.
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Figure CN120866543B_ABST
Abstract
This invention relates to the field of gene detection technology, specifically to a primer set and its application, and a training method for a bacterial vaginosis diagnostic model. The primer set, used for diagnosing bacterial vaginosis, includes specific primers for specifically amplifying target regions of the following pathogens: *Atopobacterium vaginalis*, *Gardnerella vaginalis*, *Cyclophorus 1*, *Cyclophorus 2*, *Bacterial Vaginosis-Associated Bacteria 2*, *Animal Curvularia clarithii*, *Animal Curvularia emblica*, *Prevotella 2*, *Lactobacillus curvularia*, *Lactobacillus indolentus*, *Lactobacillus gasseri*, and *Lactobacillus janniae*. This invention also provides the application of this primer set and a training method for a bacterial vaginosis diagnostic model. Using this primer set, high-throughput sequencing can be performed on test samples, simultaneously detecting 12 target pathogens, and further constructing a bacterial vaginosis diagnostic model, which can be used for the clinical diagnosis of bacterial vaginosis with good specificity and sensitivity.
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Citation Information
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