METHODS: This is a cross-sectional study conducted among children admitted to the Paediatrics ward in HTAA between December 2017 and May 2018. Faecal samples were examined using wet smear and Modified Ziehl-Neelsen (MZN) staining techniques. Data on demography and hygiene practices was collected using a pretested questionnaire, and analysed using SPSS version 22.
RESULTS: One hundred thirty five children (95.6% were of Malay ethnicity) were included in the study. The overall prevalence of Cryptosporidium spp. infection was 25.2%. The prevalence was slightly higher in females (28.1%) than males (23.1%). The prevalence was higher than expected. This study showed that some risk factors namely children's age and trash disposal methods were significantly associated with Cryptosporidium spp. infection (p<0.05).
CONCLUSION: Higher prevalence could possibly be due to an outbreak of this infection or until now undetected.
METHODS: We assessed interactions between the taxonomic and functional potential profiles of the gut microbiome (profiled via shotgun metagenomic sequencing), gut transit time (measured via the blue dye method), cardiometabolic health and diet in 863 healthy individuals from the PREDICT 1 study.
RESULTS: We found that gut microbiome taxonomic composition can accurately discriminate between gut transit time classes (0.82 area under the receiver operating characteristic curve) and longer gut transit time is linked with specific microbial species such as Akkermansia muciniphila, Bacteroides spp and Alistipes spp (false discovery rate-adjusted p values <0.01). The blue dye measure of gut transit time had the strongest association with the gut microbiome over typical transit time proxies such as stool consistency and frequency.
CONCLUSIONS: Gut transit time, measured via the blue dye method, is a more informative marker of gut microbiome function than traditional measures of stool consistency and frequency. The blue dye method can be applied in large-scale epidemiological studies to advance diet-microbiome-health research. Clinical trial registry website https://clinicaltrials.gov/ct2/show/NCT03479866 and trial number NCT03479866.