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The Multiomics Analyses of Fecal Matrix and Its Significance to Coeliac Disease Gut Profiling.

Sheeana GangadooPiumie Rajapaksha PathirannahalageSamuel CheesemanYen Thi Hoang DangAaron James ElbourneDaniel CozzolinoKay LathamVi Khanh TruongJames Chapman
Published in: International journal of molecular sciences (2021)
Gastrointestinal (GIT) diseases have risen globally in recent years, and early detection of the host's gut microbiota, typically through fecal material, has become a crucial component for rapid diagnosis of such diseases. Human fecal material is a complex substance composed of undigested macromolecules and particles, and the processing of such matter is a challenge due to the unstable nature of its products and the complexity of the matrix. The identification of these products can be used as an indication for present and future diseases; however, many researchers focus on one variable or marker looking for specific biomarkers of disease. Therefore, the combination of genomics, transcriptomics, proteomics and metabonomics can give a detailed and complete insight into the gut environment. The proper sample collection, sample preparation and accurate analytical methods play a crucial role in generating precise microbial data and hypotheses in gut microbiome research, as well as multivariate data analysis in determining the gut microbiome functionality in regard to diseases. This review summarizes fecal sample protocols involved in profiling coeliac disease.
Keyphrases
  • data analysis
  • single cell
  • microbial community
  • electronic health record
  • high resolution
  • sensitive detection
  • bioinformatics analysis
  • genome wide analysis