Tracking Leishmaniasis with New PCR Test

Key Takeaways

• HRM PCR identifies sand fly species, parasites, blood meals.
• Tested on ~2,000 Israeli sand flies, 12 species found.
• 96.7% accuracy for blood‑meal source identification.
• Revealed new sand fly habitats, suggesting climate shift.
• Enables targeted One Health interventions for leishmaniasis control.

Summary

A team at the Hebrew University of Jerusalem has unveiled a high‑resolution melting (HRM) PCR assay that simultaneously identifies sand‑fly species, detects Leishmania parasites, and determines the insect's blood‑meal source from a single specimen. The method was applied to nearly 2,000 sand flies collected across Israel, revealing 12 fly species, four Leishmania species and 25 distinct animal hosts. With a 96.7% success rate for blood‑meal identification, the assay replaces slower, labor‑intensive techniques with a rapid, cost‑effective diagnostic tool. The findings also highlight shifting sand‑fly habitats, suggesting climate‑driven expansion of transmission zones.

Pulse Analysis

Leishmaniasis remains a persistent threat in many tropical and subtropical regions, largely because its transmission involves a complex web of sand‑fly vectors, wild reservoirs, and domestic animals. Traditional surveillance relies on morphological identification of insects and separate laboratory tests for parasites and blood‑meal analysis, a process that can take weeks and demands specialized expertise. The new HRM‑based PCR platform consolidates these steps, delivering species‑level resolution in a single reaction, thereby accelerating data collection and reducing operational costs for health agencies.

In the Israeli field study, researchers processed almost 2,000 sand flies, uncovering twelve vector species and four pathogenic Leishmania strains. The assay’s 96.7% success in pinpointing blood‑meal origins exposed a diverse host spectrum—ranging from cats and cattle to rock hyraxes—highlighting the zoonotic nature of the disease. Moreover, the detection of sand‑fly species beyond their historic ranges signals possible ecological shifts, likely driven by climate change, that could expand disease hotspots into previously low‑risk areas.

For policymakers and veterinarians, the technology offers a practical One Health tool that integrates animal and human health data streams. By rapidly mapping vector distribution, parasite prevalence, and reservoir hosts, health officials can design focused vector‑control campaigns, prioritize vaccination or treatment of key animal populations, and anticipate emerging foci before human cases surge. The scalability of the HRM assay suggests it could be adapted to other vector‑borne diseases, positioning it as a cornerstone for modern, data‑driven disease surveillance worldwide.