Large numbers of micro-organisms (especially bacteria) live in and on human bodies and have a very important function for the health. These microorganisms are called 'the microbiota'. They aid in the digestion of food, ensure the production of certain vitamins, and are very important for the development and regulation of the immune system. In many diseases (including Crohn's disease, arthritis, obesity, diabetes and cancer), a disruption of microbial composition is observed. There are indications that a disruption of the microbiome can contribute to the development of inflammatory diseases and cancer, but the underlying processes are not sufficiently understood. To understand the mechanisms underlying these disease processes, fundamental research is conducted at Ghent University. Stool, skin, oral and vaginal samples from various origins are examined, e.g. from people from indigenous tribes with a traditional lifestyle. It is important that these samples can be compared with microbiome samples from healthy Western (West-European) controls. In this study, the investigators want to build up a collection of samples from healthy donors between the ages of 2 and 70, with the exception of vaginal samples collected from women between the ages of 18 and 45. The samples will form the basis for further fundamental and functional research into microbiota-host interactions at Ghent University.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
100
Collection of skin, oral and vaginal (if applicable) microbiome samples by means of a swab and collection of fecal material using Fecotainer collection kit.
Ghent University
Ghent, East Flanders, Belgium
RECRUITINGComposition of the microbiome, as determined by metagenomics analysis of the skin, oral, vaginal and fecal microbiome samples
Characterization of skin, oral, vaginal and fecal microbiome profiles from Western donors versus indigenous Brazilian tribes (Yanomami, samples collected previously)
Time frame: 4 years
Compostition of the metabolome, as deteremined by metabolomics analysis skin, oral, vaginal and fecal microbiome samples
Characterization of skin, oral, vaginal and fecal metabolome profiles from Western donors versus indigenous Brazilian tribes (Yanomami, samples collected previously)
Time frame: 4 years
Measurement of disease progression upon administration of different microbiota (Western versus indigenous) by weight measurement
Measurement of disease progression in arthritis, colorectal cancer, intestinal inflammation, obesity, etc. by measuring weight loss or gain.
Time frame: 4 years
Measurement of disease progression upon administration of different microbiota (Western versus indigenous) by detecting blood in stool
Measurement of disease progression in colorectal cancer, intestinal inflammation, etc. by determining presence of blood in stool samples.
Time frame: 4 years
Measurement of disease progression upon administration of different microbiota (Western versus indigenous) by determining stool consistency
Measurement of disease progression in colorectal cancer, intestinal inflammation, etc. by determining stool consistency.
Time frame: 4 years
Measurement of disease progression upon administration of different microbiota (Western versus indigenous) by serum glucose measurement
Measurement of disease progression in obesity by measuring serum glucose concentrations.
Time frame: 4 years
Measurement of immune activation upon administration of different microbiota (Western versus indigenous).
Measurement of immune cell composition by means of flow cytometry analysis.
Time frame: 4 years
Identification of the micro-organisms from different microbiota (Western versus indigenous) linked to disease progression.
Identification of microorganisms involved in disease models (including arthritis, colorectal cancer, intestinal inflammation, obesity, etc.) by means of in-vitro and in-vivo models. The stool samples are administered to mouse models of various diseases via oral gavage, after which the disease process is closely studied. For the in-vitro models, these samples are used to stimulate cell lines to investigate the effect on, for example, T cell activation, macrophage polarization or general cell proliferation.
Time frame: 4 years
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