Development and evaluation of a real-time PCR for genotyping of Cryptosporidium spp. from water monitoring slides

Preliminary investigations of parasite contamination of water sources in Armenia

The intestinal protozoan parasites, Cryptosporidium and Giardia, are known to have a global distribution, infecting and causing disease in a range of hosts, including people, livestock, pets, and wildlife. However, data from some regions is very sparse. In Armenia, in the Caucasus region of West Asia, only scanty data are available, with just a few surveys on Cryptosporidium infections in livestock, and no available data on human infections or environmental contamination. As part of implementation of water analysis methods for these parasites in Armenia, 24 raw water samples and two sediment samples were analysed for these parasites using a range of approaches, including modified Ziehl-Neelsen, Lugol stain, immunofluorescent antibody test (IFAT), qPCR and, on sediment samples, immunomagnetic separation and IFAT. Results suggest substantial contamination of raw water sources and indicate the need for further targeted studies using appropriate methods and collecting data on host infections in catchment areas.

Outbreak of Diarrhea Caused by a Novel Cryptosporidium hominis Subtype During British Military Training in Kenya

Background

We report clinical, epidemiological, and laboratory features of a large diarrhea outbreak caused by a novel Cryptosporidium hominis subtype during British military training in Kenya between February and April 2022.

Methods

Data were collated from diarrhea cases, and fecal samples were analyzed on site using the multiplex polymerase chain reaction (PCR) BioFire FilmArray. Water was tested using Colilert kits (IDEXX, UK). DNA was extracted from feces for molecular characterization of Cryptosporidium A135, Lib13, ssu rRNA, and gp60 genes.

Results

One hundred seventy-two of 1200 (14.3%) personnel at risk developed diarrhea over 69 days. One hundred six primary fecal samples were tested, and 63/106 (59.4%; 95% CI, 0.49%-0.69%) were positive for Cryptosporidium spp. Thirty-eight had Cryptosporidium spp. alone, and 25 had Cryptosporidium spp. with ≥1 other pathogen. A further 27/106 (25.5%; 95% CI, 0.18%-0.35%) had non-Cryptosporidium pathogens only, and 16/106 (15.1%; 95% CI, 0.09%-0.23%) were negative. C. hominis was detected in 58/63 (92.1%) Cryptosporidium spp.-positive primary samples, but the others were not genotypable. Twenty-seven C. hominis specimens were subtypable; 1 was gp60 subtype IeA11G3T3, and 26 were an unusual subtype, ImA13G1 (GenBank accession OP699729), supporting epidemiological evidence suggesting a point source outbreak from contaminated swimming water. Diarrhea persisted for a mean (SD) of 7.6 (4.6) days in Cryptosporidium spp. cases compared with 2.3 (0.9) days in non-Cryptosporidium cases (P = .001).

Conclusions

Real-time multiplex PCR fecal testing was vital in managing this large cryptosporidiosis outbreak. The etiology of a rare C. hominis gp60 subtype emphasizes the need for more genotypic surveillance to identify widening host and geographic ranges of novel C. hominis subtypes.

A comparison of qPCR and microscopy for the detection and enumeration of Cryptosporidium oocysts from drinking water

Introduction. Cryptosporidium presents one of the main waterborne public health threats due to its resistance to chlorine disinfection and ability to cause large-scale outbreaks. The standard method used in the UK water industry for detection and enumeration of Cryptosporidium is based on fluorescence microscopy and is laborious and expensive. Molecular methods such as quantitative polymerase chain reaction (qPCR) can be more amenable to streamlining through automation, improving workflows and standardizing procedures.Hypothesis. The null hypothesis was that there was no difference in the detection or enumeration between the standard method and a qPCR.Aim. We aimed to develop and evaluate a qPCR for the detection and enumeration of Cryptosporidium in drinking water, and to compare the assay with the standard method used in the UK.Methodology. We first developed and evaluated a qPCR method by incorporating an internal amplification control and calibration curve into a real-time PCR currently used for Cryptosporidium genotyping. Then we compared the qPCR assay with the standard method of immunofluorescent microscopy for the detection and enumeration of 10 and 100 Cryptosporidium oocysts in 10 l of artificially contaminated drinking water.Results. The results demonstrated that detection of Cryptosporidium by this qPCR was reliable at low numbers of oocysts; however, enumeration was less reliable and more variable than immunofluorescence microscopy.Conclusions. Despite these results, qPCR offers practical advantages over microscopy. There is potential for the use of PCR-based methods for Cryptosporidium analysis if parts of the upstream sample preparation are revised, and alternative technologies for enumeration (such as digital PCR) are also explored to improve analytical sensitivity.