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Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females
OBJECTIVE(S): Mycoplasma and Ureaplasma species threaten reproductive health and fertility worldwide. Due to the lack of sensitive, accurate, and affordable diagnostic tools, the simultaneous contributions of these agents in infertility have been overlooked. This study aims to detect and identify My...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mashhad University of Medical Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237169/ https://www.ncbi.nlm.nih.gov/pubmed/37275751 http://dx.doi.org/10.22038/IJBMS.2023.66170.14545 |
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author | Fathizadeh, Zeinab Ghasemi Tehrani, Hatave Kazemi, Mohammad Karbasizade, Vajihe |
author_facet | Fathizadeh, Zeinab Ghasemi Tehrani, Hatave Kazemi, Mohammad Karbasizade, Vajihe |
author_sort | Fathizadeh, Zeinab |
collection | PubMed |
description | OBJECTIVE(S): Mycoplasma and Ureaplasma species threaten reproductive health and fertility worldwide. Due to the lack of sensitive, accurate, and affordable diagnostic tools, the simultaneous contributions of these agents in infertility have been overlooked. This study aims to detect and identify Mycoplasma and Ureaplasma species in the genital tracts of fertile and infertile females simultaneously. MATERIALS AND METHODS: In a case-control study, cervicovaginal clinical samples were collected from patients referred to two teaching hospitals in Isfahan from July 2019 to February 2019. The initial screening was by using Real-time PCR and designed primer to evaluate the presence of Mycoplasma and Ureaplasma species including fertile and infertile women. The bacteria species were then detected and differentiated by using the melt curve and sequenced to confirm and identify. Finally, the standard curve was used to measure and compare the copy number of each species in each group. The isolates also were detected in clinical samples using the commercial PCR method. RESULTS: The frequencies of Mycoplasma genitalium and Mycoplasma hominis were (0.0, 10.0%) in the fertile group and (4.3%, 34.3%) in the infertile group, respectively. Ureaplasma parvum and Ureaplasma urealyticum species in the fertile group (7.1%, 5.7%) and in the infertile group (32.9%, 24.3) were determined, respectively. The comparison of the results obtained from PCR and Real-time PCR showed that the recent technique has the ability to track 101–103 copy numbers. CONCLUSION: The present method allows differential diagnosis and quantification of Mycoplasma and Ureaplasma species in a short time and simultaneously. |
format | Online Article Text |
id | pubmed-10237169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Mashhad University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-102371692023-06-03 Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females Fathizadeh, Zeinab Ghasemi Tehrani, Hatave Kazemi, Mohammad Karbasizade, Vajihe Iran J Basic Med Sci Original Article OBJECTIVE(S): Mycoplasma and Ureaplasma species threaten reproductive health and fertility worldwide. Due to the lack of sensitive, accurate, and affordable diagnostic tools, the simultaneous contributions of these agents in infertility have been overlooked. This study aims to detect and identify Mycoplasma and Ureaplasma species in the genital tracts of fertile and infertile females simultaneously. MATERIALS AND METHODS: In a case-control study, cervicovaginal clinical samples were collected from patients referred to two teaching hospitals in Isfahan from July 2019 to February 2019. The initial screening was by using Real-time PCR and designed primer to evaluate the presence of Mycoplasma and Ureaplasma species including fertile and infertile women. The bacteria species were then detected and differentiated by using the melt curve and sequenced to confirm and identify. Finally, the standard curve was used to measure and compare the copy number of each species in each group. The isolates also were detected in clinical samples using the commercial PCR method. RESULTS: The frequencies of Mycoplasma genitalium and Mycoplasma hominis were (0.0, 10.0%) in the fertile group and (4.3%, 34.3%) in the infertile group, respectively. Ureaplasma parvum and Ureaplasma urealyticum species in the fertile group (7.1%, 5.7%) and in the infertile group (32.9%, 24.3) were determined, respectively. The comparison of the results obtained from PCR and Real-time PCR showed that the recent technique has the ability to track 101–103 copy numbers. CONCLUSION: The present method allows differential diagnosis and quantification of Mycoplasma and Ureaplasma species in a short time and simultaneously. Mashhad University of Medical Sciences 2023 /pmc/articles/PMC10237169/ /pubmed/37275751 http://dx.doi.org/10.22038/IJBMS.2023.66170.14545 Text en https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Fathizadeh, Zeinab Ghasemi Tehrani, Hatave Kazemi, Mohammad Karbasizade, Vajihe Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females |
title | Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females |
title_full | Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females |
title_fullStr | Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females |
title_full_unstemmed | Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females |
title_short | Rapid detection and simultaneous identification of the Mycoplasma and Ureaplasma species by real-time PCR and melt curve analysis among fertile and infertile females |
title_sort | rapid detection and simultaneous identification of the mycoplasma and ureaplasma species by real-time pcr and melt curve analysis among fertile and infertile females |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237169/ https://www.ncbi.nlm.nih.gov/pubmed/37275751 http://dx.doi.org/10.22038/IJBMS.2023.66170.14545 |
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