ArticleBMC infectious diseases2021
Droplet digital PCR (ddPCR) for the detection and quantification of Ureaplasma spp.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Development and Analytical Evaluation of a Novel Droplet Digital PCR Assay for Molecular Detection ofVeterinary sciences · 2026Article
- Methylation-based biomarkers from thin-prep cytology test samples for early detection of cervical cancer: application and clinical potential.Clinical epigenetics · 2026Article
- Vaginal microecological characterization of women of childbearing age at different altitudes: a multi-omics exploration.BMC women's health · 2025Article
- Quantification ofWorld journal of hepatology · 2025Article
- Droplet Digital PCR Provides Highly Sensitive and Accurate Opsin Gene SNP Detection From Wild Primate Fecal Samples.Ecology and evolution · 2025Article
- Multiplex droplet digital PCR for the detection and quantitation ofFrontiers in cellular and infection microbiology · 2025Article
- Comparison of analytical sensitivity of DNA-based and RNA-based nucleic acid amplification tests for reproductive tract infection pathogens: implications for clinical applications.Microbiology spectrum · 2023Article
- Detection and Quantification of Klebsiella pneumoniae in Fecal Samples Using Digital Droplet PCR in Comparison with Real-Time PCR.Microbiology spectrum · 2023Article
- Rapid detection and simultaneous identification of theIranian journal of basic medical sciences · 2023Article
- Detection ofACS omega · 2022Article
- Diagnostic, Prognostic, and Therapeutic Value of Droplet Digital PCR (ddPCR) in COVID-19 Patients: A Systematic Review.Journal of clinical medicine · 2021Review
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Authors and funding
6 authors.
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Abstract
backgroundUreaplasma spp. are associated with various infectious diseases in females, but there is still limited evidence regarding whether they are related to nonspecific cervicitis. The aim of this study was to develop and evaluate a digital droplet PCR (ddPCR) assay for the detection and quantification of Ureaplasma spp. in cervical swabs.
methodsA total of 267 non-specific cervicitis (NSC) patients and 195 asymptomatic females were included in this study. We produced standard curves for Ureaplasma spp. to evaluate the analytical performance of the ddPCR assay. Then, we detected and quantified the bacterial load of Ureaplasma spp. in cervical swabs.
resultsThe prevalences of U. parvum were 37.8% (101/267) and 29.7% (58/195), U. urealyticum were 9.0% (24/267) and 8.7% (17/195) in the NSC group and control group, respectively. In addition, the median copy number of U. parvum was 2.5 × 10
conclusionsOur study is the first to develop a droplet digital PCR (ddPCR) method for the detection and quantification of Ureaplasma spp. in clinical samples, and the method has excellent analytical performance and a wide range of clinical application prospects.
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