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Updated: May 6, 2026
Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures
Published on: November 3, 2014
Metabolomic profiling of faecal extracts from Cryptosporidium parvum infection in experimental mouse models
Josephine S Y Ng Hublin1, Una Ryan, Robert Trengove
1School of Veterinary and Life Sciences, Murdoch University, Murdoch, Western Australia, Australia ; Murdoch University Separation Science and Metabolomics Laboratory, Murdoch University, Murdoch, Western Australia, Australia.
Abstract:
Cryptosporidiosis is a gastrointestinal disease in humans and animals caused by infection with the protozoan parasite Cryptosporidium. In healthy individuals, the disease manifests mainly as acute self-limiting diarrhoea, but may be chronic and life threatening for those with compromised immune systems. Control and treatment of the disease is challenged by the lack of sensitive diagnostic tools and broad-spectrum chemotherapy. Metabolomics, or metabolite profiling, is an emerging field of study, which enables characterisation of the end products of regulatory processes in a biological system. Analysis of changes in metabolite patterns reflects changes in biochemical regulation, production and control, and may contribute to understanding the effects of Cryptosporidium infection in the host environment. In the present study, metabolomic analysis of faecal samples from experimentally infected mice was carried out to assess metabolite profiles pertaining to the infection. Gas-chromatography mass spectrometry (GC-MS) carried out on faecal samples from a group of C. parvum infected mice and a group of uninfected control mice detected a mean total of 220 compounds. Multivariate analyses showed distinct differences between the profiles of C. parvum infected mice and uninfected control mice,identifying a total of 40 compounds, or metabolites that contributed most to the variance between the two groups. These metabolites consisted of amino acids (n = 17), carbohydrates (n = 8), lipids (n = 7), organic acids (n = 3) and other various metabolites (n = 5), which showed significant differences in levels of metabolite abundance between the infected and uninfected mice groups (p < 0.05). The metabolites detected in this study as well as the differences in abundance between the C. parvum infected and the uninfected control mice, highlights the effects of the infection on intestinal permeability and the fate of the metabolites as a result of nutrient scavenging by the parasite to supplement its streamlined metabolism.
Insights
Metabolomic analysis of mouse feces reveals distinct metabolite profiles in Cryptosporidium infection. This study identifies key differences in amino acids, carbohydrates, and lipids, offering insights into host-parasite interactions and intestinal changes.
Area of Science:
- * Infectious Diseases
- * Metabolomics
- * Parasitology
Background:
- * Cryptosporidiosis, a gastrointestinal disease caused by *Cryptosporidium*, poses challenges due to limited diagnostics and treatments.
- * Metabolomics offers a way to understand biological system regulation by analyzing end products.
- * Understanding *Cryptosporidium*'s impact on host metabolism is crucial for disease control.
Purpose of the Study:
- * To investigate the metabolic changes in host feces during *Cryptosporidium* infection using metabolomic analysis.
- * To identify specific metabolites that differentiate infected from uninfected individuals.
- * To elucidate the effects of *Cryptosporidium* infection on host intestinal permeability and nutrient metabolism.
Main Methods:
- * Faecal samples were collected from experimentally infected mice and uninfected controls.
- * Gas-chromatography mass spectrometry (GC-MS) was employed for metabolite profiling.
- * Multivariate statistical analyses were used to compare metabolite profiles between groups.
Main Results:
- * GC-MS detected a total of 220 compounds in faecal samples.
- * Distinct metabolite profiles were observed between *C. parvum*-infected and control mice.
- * 40 key metabolites (amino acids, carbohydrates, lipids, organic acids) showed significant abundance differences (p < 0.05).
Conclusions:
- * *Cryptosporidium* infection significantly alters host faecal metabolite profiles.
- * Identified metabolite differences suggest impacts on intestinal permeability and nutrient scavenging by the parasite.
- * Metabolomics provides valuable insights into the host-parasite relationship in cryptosporidiosis.
