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- Title
Rapid detection of Babesia motasi responsible for human babesiosis by cross-priming amplification combined with a vertical flow.
- Authors
Wang, Jinming; Gao, Shandian; Zhang, Shangdi; He, Xin; Liu, Junlong; Liu, Aihong; Li, Youquan; Liu, Guangyuan; Luo, Jianxun; Guan, Guiquan; Yin, Hong
- Abstract
Background: Babesia motasi is known as an etiological agent of human and ovine babesiosis. Diagnosis of babesiosis is traditionally performed by microscopy, examining Giemsa-stained thin peripheral blood smears. Rapid detection and accurate identification of species are desirable for clinical care and epidemiological studies. Methods: An easy to operate molecular method, which requires less capital equipment and incorporates cross-priming amplification combined with a vertical flow (CPA-VF) visualization strip for rapid detection and identification of B. motasi. Results: The CPA-VF targets the 18S rRNA gene and has a detection limit of 50 fg per reaction; no cross reaction was observed with other piroplasms infective to sheep or Babesia infective to humans. CPA-VF and real-time (RT)-PCR had sensitivities of 95.2% (95% confidence interval, CI 78.1–99.4%) and 90.5% (95% CI 72–97.6%) and specificities of 95.8 (95% CI 80.5–99.5%) and 97.9 (95% CI 83.5–99.9%), respectively, versus microscopy and nested (n) PCR combined with gene sequencing. The clinical performance of the CPA-VF assay was evaluated with field blood samples from sheep (n = 340) in Jintai county, Gansu Province, and clinical specimens (n = 492) obtained from patients bitten by ticks. Conclusions: Our results indicate that the CPA-VF is a rapid, accurate, nearly instrument-free molecular diagnostic approach for identification of B. motasi. Therefore, it could be an alternative technique for epidemiological investigations and diagnoses of ovine and/or human babesiosis caused by B. motasi, especially in resource-limited regions.
- Subjects
GANSU Sheng (China); BABESIOSIS; BABESIA; DETECTION limit; FLOW visualization; INDUSTRIAL equipment; SHEEP diseases
- Publication
Parasites & Vectors, 2020, Vol 13, Issue 1, p1
- ISSN
1756-3305
- Publication type
Article
- DOI
10.1186/s13071-020-04246-4