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Microbial pathogenesis · 2025

Development and validation of universal PCR, basic ERA, and qPCR assays targeting the 16S-23S rRNA intergenic spacer region for Mycoplasma detection.

СтатьяВалидационное исследованиеНазвание и аннотация: Перевод в очереди
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Yin Ruiru, Gan Lanxi, Li Shiyang, Zhao Han, Wei Yanna, Wang Jia, Liu Beibei, Ning Lihua, Feng Zhixin, Yu Yanfei

Аннотация

Mycoplasma contamination poses a persistent challenge in cell culture systems and the production of cell-derived biological products, including vaccines and therapeutic drugs. Current detection methods suffer from several limitations: they risk false-negative results due to incomplete species coverage, exhibit high detection limits in molecular assays, and prove time-consuming while lacking sensitivity for certain fastidious mycoplasma species that grow poorly in vitro, as outlined in pharmacopeial testing standards. To address these issues, we developed three improved detection methods-PCR, enzymatic recombinase amplification (ERA), and quantitative PCR (qPCR)-using universal primer pairs targeting conserved regions across 143 mycoplasma species. All three methods demonstrated exceptional specificity, accurately identifying 16 different Mycoplasma species (including those specified in the European Pharmacopoeia [2021] and Japanese Pharmacopoeia [JP16]) while showing no cross-reactivity with common cell culture contaminants (bacteria, viruses, or fungi). Sensitivity testing using a Spiroplasma 16S-23S spacer fragment plasmid revealed detection limits of 101 copies for PCR, 100 copies for ERA, and an impressive 10-1 copies for qPCR. Validation studies showed 100 % agreement with pharmacopeial gold-standard methods, with our novel methods achieving 17 % (PCR), 36.8 % (ERA), and 40.6 % (qPCR) higher detection rates than conventional approaches and outperforming comparable commercial products. Notably, all three methods significantly reduced testing time to just 1-2 h. Our results demonstrate substantial improvements in specificity, sensitivity, and detectable species range compared to existing methods. Among these approaches, qPCR emerges as particularly promising due to its superior sensitivity and rapid turnaround, making it ideally suited for quality control in biological product manufacturing and research applications. This advancement represents a significant step forward in mycoplasma contamination monitoring for the biotechnology and pharmaceutical industries.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты