Real-time PCR has the potential to streamline detection and identification of Cryptosporidium spp. in human clinical samples. In the present article, we report the first such assay to allow not only detection and differentiation of the most common human pathogens, Cryptosporidium hominis and Cryptosporidium parvum , but also simultaneous amplification of a region of the small subunit (SSU) rRNA gene, permitting direct sequence analysis to identify any Cryptosporidium species. An internal control is incorporated to identify the presence of PCR inhibitors. Analytical sensitivity was determined to be as low as 200 oocysts per gram of feces processed, equivalent to 2 oocysts per PCR. The C. hominis and C. parvum PCRs specifically detected only species/genotypes in their respective target clades. Diagnostic sensitivity and specificity, evaluated against a widely used conventional nested SSU rRNA gene PCR as a nominated gold standard using a panel of 258 (151 positive and 107 negative) samples, were 100% and 99.1%, respectively. The assay agreed with PCR-restriction fragment length polymorphism analysis of the Cryptosporidium oocyst wall protein gene for 134 of 136 (98.5%) samples tested prospectively and typed two additional isolates. The real-time PCR assay was sensitive, specific, and reproducible and significantly improved laboratory work flow and turnaround times.

SUMMARY: Routine typing of 14 469 isolates from human cryptosporidiosis cases between 2000 and 2008 revealed that 7439 (51·4%) were Cryptosporidium (C.) hominis, 6372 (44·0%) C. parvum, 51 (0·4%) both C. hominis and C. parvum, 443 (3·1%) were not typable and 164 (1·1%) were other Cryptosporidium species or genotypes. Of the latter, 109 were C. meleagridis, 38 C. felis, 11 C. ubiquitum, one C. canis, two horse, two novel and one skunk genotype. C. hominis monkey genotype and C. cuniculus were identified in a separate study. Patients with unusual infections were older than those with C. hominis (P<0·01) or C. parvum (P<0·01) and were more likely to be immunocompromised (Fisher's exact P<0·01). Forty-one percent of unusual cases had travelled abroad, mainly to the Indian subcontinent. Significant risk factors in those with unusual species were travel abroad (C. meleagridis, P<0·01), being immunocompromised (C. felis, Fisher's exact P=0·02), and contact with cats (C. felis, Fisher's exact P=0·02).

Cryptosporidium spp. are important causes of gastroenteritis that can be transmitted from humans and animals. We elucidated the distribution of species and gp60 subtypes in human outbreaks classified by transmission vehicle. We used a combined database of national outbreak surveillance and reference unit data to analyse outbreaks by setting, vehicle, season, and linkage with suspected sources. A total of 178 outbreaks involving 4031 laboratory confirmed cases were identified; 82 (46%) outbreaks involved recreational waters, 74 (42%) animal contact, 4 (2%) environmental contact, 4 (2%) person-to-person spread, 3 (2%) food, 2 (1%) drinking water supplies, and 9 (5%) were of unknown source. The infecting Cryptosporidium sp. was identified in 131 (74%) outbreaks; 69 were C. parvum, 60 C. hominis, and in two outbreaks cases were infected with either species. Animal contact, environmental contact, and food-borne outbreaks were exclusively C. parvum and were mainly in first half of the year. Recreational water outbreaks were predominantly C. hominis and were mainly in the second half of the year. Outbreaks attributed to person-to-person spread were exclusively C. hominis and all occurred in October. Both C. parvum and C. hominis caused drinking waterborne outbreaks. Gp60 subtypes were identified from patients in 48 C. parvum and 38 C. hominis outbreaks, revealing more subtypes among C. parvum (n = 14) than C. hominis (n = 7) outbreaks. Cryptosporidium hominis IbA10G2 predominated (30 outbreaks). Of C. parvum subtypes, IIaA15G2R1 predominated (17 outbreaks), followed by IIaA17G1R1 (12 outbreaks), IIaA19G1R1 (four outbreaks), and other subtypes caused three or fewer outbreaks each. Linkage between cases and suspected sources by gp60 subtype was established in nine animal contact, three swimming pool, and one drinking water outbreak. The public health benefit of identifying infecting species and subtypes was twofold: (i) identifying and strengthening epidemiologic links between cases; and (ii) indicating possible exposures and sources to inform outbreak management. Gp60 subtype refined the epidemiological investigations, but a multilocus genotyping scheme would provide further benefit. Characterisation of Cryptosporidium spp. and subtypes needs to shift from predominantly supporting outbreak investigations to becoming nationally systematic.

To compare the diagnostic sensitivity and specificity of seven Cryptosporidium diagnostic assays used in the UK, results from 259 stool samples from patients with acute gastrointestinal symptoms were compared against a nominated gold standard (real-time PCR and oocyst detection). Of the 152 ‘true positives’, 80 were Cryptosporidium hominis, 68 Cryptosporidium parvum, two Cryptosporidium felis, one Cryptosporidium ubiquitum and one Cryptosporidium meleagridis. The Cryptosporidium spp. diagnostic sensitivities of three Cryptosporidium and Giardia combination enzyme immunoassays (EIA) coupled with confirmation of positive reactions were 91.4–93.4 %, whilst the sensitivity of auramine phenol microscopy was 92.1 % and that of immunofluorescence microscopy (IFM) was 97.4 %, all with overlapping 95 % confidence intervals. However, IFM was significantly more sensitive (P = 0.01, paired test of proportions). The sensitivity of modified Ziehl–Neelsen microscopy was 75.4 %, significantly lower than those for the other tests investigated, including an immunochromatographic lateral flow assay (ICLF) (84.9 %) (P = 0.0016). Specificities were 100 % when the ICLF and EIA test algorithms included confirmation of positive reactions; however, four positive EIA reactions were not confirmed for either parasite. There was no significant difference in the detection of C. parvum and C. hominis by each assay, but the detection of other Cryptosporidium spp. requires further investigation, as the numbers of samples were small. EIAs may be considered for diagnostic testing, subject to local validation, and diagnostic algorithms must include confirmation of positive reactions.

SUMMARY: In order to monitor epidemiological trends,Cryptosporidium-positive samples (n=4509) from diarrhoeic patients were typed. Compared to the previous 4 years, the proportion ofCryptosporidium hominiscases in 2004–2006 increased to 57·3%, while 38·5% wereC. parvum. The remaining 4·2% cases included mixedC. parvumandC. hominisinfections,C. meleagridis,C. felis,C. ubiquitumand a novel genotype. When the typing results were combined with enhanced surveillance data to monitor risk exposures,C. hominiswas linked to urban dwelling, previous diarrhoea in the household, any travel especially abroad, and using a swimming or paddling pool.C. parvumwas linked to having a private water supply, contact with surface water, visiting or living on a farm, and contact with farm animal faeces. The proportion of laboratory-confirmed indigenous cases acquired from direct contact with farm animals was estimated to be 25% forC. parvumand 10% of all reportedCryptosporidiumcases.