Cryptosporidium is a zoonotic parasite that causes cryptosporidiosis, a disease associated with diarrhoea in cattle that leads to significant economic losses on farms. Current epidemiological studies have focused on local or industry-specific prevalences of cattle cryptosporidiosis, making it difficult to ascertain the true worldwide impact of this gastrointestinal disease. To understand the global scope of cattle cryptosporidiosis, a meta-analysis was conducted from the available literature; 26.5% of cattle investigated suffered from cryptosporidiosis, with Europe having the highest infection rate. Considering Cryptosporidium species, Cryptosporidium parvum was the most reported internationally, alongside C. parvum subtype IIaA15G2R1. Diagnosing cryptosporidiosis was significantly influenced by diarrhoea and age when performing meta-regression analysis on the collected data. This meta-analysis provides an epidemiological benchmark for similar prospective studies and informs strategies that mitigate the burden of Cryptosporidium. In tandem with the meta-analysis, supporting Cryptosporidium reporting requires an understanding of parasite-calf interactions to characterise potential diagnostic biomarkers. Investigating the calf faecal metabolome across Healthy vs. Infected and Asymptomatic vs. Symptomatic sample contrasts identified 3-hydromuconate within Healthy and Asymptomatic calves; a medium-chain fatty acid anion that may stabilise gut pH to prevent diarrhoea and protect against intestinal oxidative stress. As metabolites exist within biological pathways, energy metabolism in Infected and Symptomatic calves was significantly affected, marking a clear intestinal energy imbalance during Cryptosporidium infection. Analysing the significant metabolites further, eight metabolites were found to reasonably distinguish infection and compete with conventional Cryptosporidium diagnostic methods. However, a panel of five metabolites depicted better diagnostic potential than any single metabolite. These potential markers of disease warrant further research in deciphering disease mechanisms and their diagnostic abilities in cattle cryptosporidiosis.
Przemyslaw Wieckowski (Wed,) studied this question.