A fluorescence-based assay for Trichomonas vaginalis drug screening

Author:

Chen Qianqian,Li Jingzhong,Wang Zhensheng,Meng Wei,Wang Heng,Wang Zenglei

Abstract

Abstract Background The emergence and spread of drug resistance in Trichomonas vaginalis parasites has become an important concern in trichomoniasis treatment. Fast and reliable growth assessment is critical for validating in vitro drug susceptibility and high-throughput screening of newly developed drugs. Methods Modified media without yeast extract were evaluated for their ability to support the growth of T. vaginalis parasites. The potential of the nucleic acid-binding dye SYBR Green I for detecting T. vaginalis drug resistance was characterized, and seeding parasite concentration and incubation time were optimized. The fluorescence assay based on SYBR Green I was further validated in four T. vaginalis isolates with different susceptibilities to the antibiotics metronidazole, tinidazole, ornidazole and secnidazole, and compared with the traditional method that detects minimum lethal concentrations (MLCs). Results A modified medium consisting of RPMI 1640 and Tryptone Plus as replacements for yeast extract and tryptone, respectively, in traditional trypticase-yeast extract-maltose (TYM) medium exhibited similar performance as TYM medium in maintaining T. vaginalis growth, while it showed much lower background fluorescent signals. The T. vaginalis SYBR Green I-based fluorescence (TSF) drug assay was found to have to satisfy one of two conditions to demonstrate the 50% inhibitory concentration of metronidazole for the sensitive isolate TV-334: (i) a seeding density of 3 × 104 parasites/ml and an incubation time of 48 h; or (ii) a seeding density of 1 × 104 parasites/ml and an incubation time of 72 h. Subsequent validation experiments revealed that the 48-h incubation/3 × 104 parasites/ml seeding density condition had a greater sensitivity to detect drug resistance than the 72-h condition. The TSF assay also exhibited high efficiency in identifying parasite drug resistance, as evidenced by its strong correlation with the standard MLC assay results (P = 0.003). Conclusions This study presents a robust TSF assay that has the potential to facilitate high-throughput, automated in vitro anti-trichomoniasis susceptibility testing for drug resistance monitoring and drug development. In comparison to the standard MLC method, this assay offers the advantages of reduced labor and elimination of subjective examination. Graphical Abstract

Funder

CAMS Innovation Fund for Medical Sciences

NHC Key Laboratory of Echinococcosis Prevention and Control

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Parasitology,General Veterinary

Reference32 articles.

1. Van Gerwen OT, Opsteen SA, Graves KJ, Muzny CA. Trichomoniasis. Infect Dis Clin North Am. 2023;37:245–65. https://doi.org/10.1016/j.idc.2023.02.001.

2. WHO. Global progress report on HIV, viral hepatitis and sexually transmitted infections, 2021. 2021. https://www.who.int/publications/i/item/9789240027077. Accessed 21 Feb 2023.

3. Li S, Wang X, Yu Y, Cao S, Liu J, Zhao P, et al. Establishment and application of a CRISPR-Cas12a-based RPA-LFS and fluorescence for the detection of Trichomonas vaginalis. Parasit Vectors. 2022;15:350. https://doi.org/10.1186/s13071-022-05475-5.

4. WHO. Report on global sexually transmitted infection surveillance 2018. 2018. https://www.who.int/publications/i/item/9789241565691. Accessed 21 Feb 2023.

5. Silver BJ, Guy RJ, Kaldor JM, Jamil MS, Rumbold AR. Trichomonas vaginalis as a cause of perinatal morbidity: a systematic review and meta-analysis. 2014;41:369.

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