The aim of the present study is to characterize the bacterial composition (microbiota) colonizing to the human body in different physio - pathological conditions (lifestyle, motor activity, surgical operations, probiotic and prebiotic consumption, antibiotic therapies, chemotherapeutic therapies), nervous and musculoskeletal diseases, gastrointestinal and metabolic disorders , oral and vaginal diseases, etc.). In particular, they will be investigate: * the changes in the bacterial abundance * the potential microbial interactions with the human host * the microbial networks describing on the bacterial interactions within a specific composition of the human microbiota
The main objective of this study is to deepen the knowledge about the bacterial communities associated to the human organism. In particular, the present study aims to evaluate how the microbiota (intestinal, cutaneous, vaginal, nasal, bronchial, breast milk, salivary, oral, etc.) is subject to quantitative and qualitative changes consequently to different events involving the human host. The project trys to highlight which microorganisms may be involved in the onset or progression of certain pathological condition, as well as to identify which bacterial genera can be more subject to variations due to specific non-pathological events. Secondary objectives of this study are: * To define a "healthy microbiome", that is to understand which are the main bacteria that commonly compose the human microbiome in physiological conditions, differentiating it from that present in certain pathological conditions. * To characterize the physiological effects that bacterial changes of the human microbiota have on the host. * To evaluate whether the use of probiotics, prebiotics, dietary and nutritional factors, cosmetics, and oral, nasal, vaginal, or pharmacological therapies of any kind can influence the microbial network of the human microbiota associated to different body districts.
Study Type
OBSERVATIONAL
Enrollment
30
To evaluate the effects of a specific event (i.e. surgical operation) or therapy (i.e antibiotic treatment) over time;
IRCCS Istituto Ortopedico Galeazzi
Milan, MI, Italy
Bacterial abundances calculated by mean of Operational Taxonomic Unit (OTU) count
It is a measure of the bacterial amount
Time frame: Up to 24 weeks
Chao's indices estimated on the total OTU amount
It is a measure of bacterial diversity
Time frame: Up to 24 weeks
Simpson's index (D) estimated on the total OTU amount
It is a measure of bacterial diversity
Time frame: Up to 24 weeks
Shannon's index estimated on the total OTU amount
It is a measure of bacterial diversity
Time frame: Up to 24 weeks
The OTU abundances will be used to calculate an adjacency matrix based on the Spearman's correlation coefficient (rs) among different bacterial genus
It is a measure of strength of linear association between different bacterial genera
Time frame: up to 24 weeks
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