BackgroundResource-limited regions face a greater burden of infectious diseases due to limited access to molecular tests, complicating timely diagnosis and management. Current molecular point-of-care tests (POCTs) either come with high costs or lack adequate sensitivity and specificity. To facilitate better prevention and control of infectious diseases in underserved areas, we seek to address the need for molecular POCTs that better align with the World Health Organization (WHO)’s ASSURED criteria—Affordable, Sensitive, Specific, User-friendly, Rapid and robust, Equipment-free, and Deliverable to end users.MethodsA novel molecular POCT, Pasteur Pipette-assisted isothermal probe amplification (pp-IPA), was developed for malaria detection. Without any microfluidics, this method captures Plasmodium 18S rRNA in a modified Pasteur pipette using tailed genus-specific probes. After washing, the bound tailed probes are ligated to form a template for subsequent novel isothermal probe amplification using a pair of generic primers, bypassing nucleic acid extraction and reverse transcription. The method was assessed using cultured Plasmodium and compared with real-time quantitative reverse transcription PCR (RT-qPCR) or reverse transcription loop-mediated isothermal amplification (RT-LAMP) in clinical blood samples.ResultsThe entire assay is completed in 60–80 min with minimal hands-on time, using only a Pasteur pipette and a water bath. The pp-IPA’s analytical sensitivity is 1.28 × 10–4 parasites/μl, with 100% specificity against various blood-borne pathogens causing malaria-like symptoms. Additionally, pp-IPA needs only liquid-transfer skill for operation and the cost is around USD 0.25 per test, making it at least 300 times lower than mainstream POCT platforms.ConclusionsDesigned to improve the accessibility of molecular detection in resource-limited settings, pp-IPA’s simplicity, affordability, high sensitivity/specificity, and minimal equipment requirements make it a promising point-of-care pathogen identification tool in resource-constrained regions.Graphical
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