Ultrasensitive CRISPR-based diagnostic for field-applicable detection of <i>Plasmodium</i> species in symptomatic and asymptomatic malaria

Rose Lee, Helena de Puig, Peter Q. Nguyen, Nicolaas M. Angenent-Mari, Nina M. Donghia, James P. McGee, Jeffrey D. Dvorin, Catherine M. Klapperich, Nira R. Pollock, James J. Collins

Proceedings of the National Academy of Sciences · 2020 · 249 citations · 34 references

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Abstract

Significance Detection of submicroscopic malaria in asymptomatic individuals is needed for eradication and remains a diagnostic gap in resource-limited settings. Nonfalciparum clinical diagnostics are a second gap, as these infections have a low parasite density and are commonly undetected. We describe an integrated, 60-min, ultrasensitive and specific CRISPR-based diagnostic for the four major pathogenic Plasmodium species that can fill these gaps. Using the SHERLOCK (specific high-sensitivity enzymatic reporter unlocking) platform, we designed assays with limits of detection below that recommended by the World Health Organization. These assays have a simplified sample preparation method: the SHERLOCK parasite rapid extraction protocol, which eliminates complicated nucleic acid extraction steps. Our work further translates the SHERLOCK platform into a field-deployable diagnostic.

References

34