Point of care diagnostics for Cryptosporidium: new and emerging technologies

Nawal Hijjawi1, Alizera Zahedi2, Una Ryan2

  • 1Department of Medical Laboratory Sciences, Faculty of Applied Health Sciences, The Hashemite University, Zarqa, Jordan.

Abstract

Insights

Point-of-care (POC) diagnostics for Cryptosporidium are advancing, with CRISPR-powered isothermal amplification offering near-term solutions for species and subtype detection. Long-term goals include fully integrated biosensors for improved pathogen identification.

Area of Science:

  • Microbiology
  • Parasitology
  • Biotechnology

Background:

  • Limited research exists on point-of-care (POC) diagnostic and typing tools for Cryptosporidium spp., despite advancements in laboratory techniques.
  • Current POC methods like microscopy and immunoassays lack specificity and sensitivity.
  • Molecular methods offer high accuracy but are generally too expensive for routine POC use.

Approach:

  • This review evaluates recent and emerging POC diagnostic methods for Cryptosporidium.
  • It assesses the utility, sensitivity, and specificity of various techniques, including microscopy, immunoassays, isothermal amplification (LAMP, RPA), and CRISPR-based diagnostics.
  • Emerging technologies like smartphone-read CRISPR detection are also considered.

Key Points:

  • Microscopy and immunoassays have limitations in sensitivity and specificity for POC Cryptosporidium detection.
  • Isothermal amplification methods (LAMP, RPA) show promise but are susceptible to false positives.
  • CRISPR-Cas diagnostic technologies (CRISPRDx), especially when combined with isothermal amplification, enhance specificity and sensitivity.
  • Smartphone-based, amplification-free CRISPR detection methods are under development.

Conclusions:

  • Significant challenges remain in developing ideal POC diagnostic tools for Cryptosporidium, particularly in pathogen concentration.
  • CRISPR-powered isothermal amplification lateral flow assays represent the most promising short-term solution for POC Cryptosporidium detection and typing.
  • The long-term objective is the development of fully integrated autonomous biosensors for comprehensive diagnostics.