Logo image
Development of an untargeted metabolomics method for the analysis of human faecal samples using Cryptosporidium-infected samples
Journal article   Peer reviewed

Development of an untargeted metabolomics method for the analysis of human faecal samples using Cryptosporidium-infected samples

J.S.Y. Ng, U. Ryan, R.D. Trengove and G.L. Maker
Molecular and Biochemical Parasitology, Vol.185(2), pp.145-150
2012
url
Link to Published Version *Subscription may be requiredView

Abstract

Faecal metabolite profiling, though in its infancy, allows for investigation of complex metabolic interactions between gastrointestinal infections or diseases and host health. In the present study, we describe a faecal metabolite extraction method for untargeted gas chromatography-mass spectrometry (GC-MS) analysis using Cryptosporidium positive and negative human faecal samples. The extraction method takes into account the varying faecal consistencies and quantities received for clinical diagnosis. Optimisation was carried out using different extraction solvents and on three different faecal quantities to determine the minimum amount of faecal sample required. The method was validated by untargeted GC-MS analysis on 8 Cryptosporidium positive and 8 Cryptosporidium negative human faecal samples, extracted using the optimised conditions. The method showed good extraction reproducibility with a relative standard deviation of 9.14%. Multivariate analysis of the GC-MS generated dataset showed distinct differences between profiles of Cryptosporidium positive and Cryptosporidium negative samples. The most notable differences included changes in amino acid, nitrogen and energy metabolism, demonstrating the association of infection with Cryptosporidium and altered permeability of the small intestine.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics
2 Chemistry
2.211 Mass Spectrometry
2.211.990 Metabolomics
Web Of Science research areas
Biochemistry & Molecular Biology
Parasitology
ESI research areas
Microbiology
Logo image