The fingerprint of the human gastrointestinal tract microbiota: A hypothesis of molecular mapping

dc.contributor.authorTomasello, Giovanni
dc.contributor.authorMazzola, Margherita
dc.contributor.authorJurjus, Abdo R.
dc.contributor.authorCappello, Francesco
dc.contributor.authorCarini, Francesco
dc.contributor.authorDamiani, Provvidenza
dc.contributor.authorGerges-Geagea, Alice
dc.contributor.authorZeenny, Marie Noel
dc.contributor.authorLeone, Angelo
dc.contributor.departmentAnatomy, Cell Biology, and Physiological Sciences
dc.contributor.facultyFaculty of Medicine (FM)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:36:41Z
dc.date.available2025-01-24T11:36:41Z
dc.date.issued2017
dc.description.abstractThe precise etiology of Inflammatory Bowel Disease (IDB) remains unclear and several factors are believed to play a role in its development and progression, including the composition of microbial communities resident in the gastrointestinal tract. Human intestinal microbiota are extensive with at least 15,000-36,000 bacterial species. However, thanks to the new development in sequencing and molecular taxonomic methodologies, our understanding of the microbiota population composition, dynamics, and ecology has greatly increased. Intestinal microbiota play a critical role in the maintenance of the host intestinal barrier homeostasis, while dysbiosis, which involves reduction in the microbiome diversity, can lead to progression of inflammatory disorders, such as IBD and colorectal cancer. It is hypothesized that fingerprinting characterization of the microbiota community composition is the first step in the study of this complex bacterial ecosystem and a crucial step in the targeted therapy. Molecular fingerprinting of human gastrointestinal tract microbiota could be performed by different techniques including the semi quantitation, 16SrRNA, the DNA-microarray as well as other relatively new methods which were developed to study many complex bacterial ecosystems. These techniques provide individual data and profiles, using fast and sensitive tools for the high taxonomic level fingerprint of the human intestinal microbiota and provide estimation of the relative presence of the microbial target groups within each individual. Such personalized information serves as a remarkable and unprecedented opportunity to improve targeted medical treatment and probably develop strategies to prevent disease. Copyright © by BIOLIFE, s.a.s.
dc.identifier.eid2-s2.0-85016197105
dc.identifier.pmid28337900
dc.identifier.urihttp://hdl.handle.net/10938/28685
dc.language.isoen
dc.publisherBiolife s.a.s.
dc.relation.ispartofJournal of Biological Regulators and Homeostatic Agents
dc.sourceScopus
dc.subjectDysbiosis
dc.subjectFingerprint microbiota
dc.subjectInflammatory bowel diseases
dc.subjectMicrobiota
dc.subjectAnti-bacterial agents
dc.subjectBacterial typing techniques
dc.subjectDna barcoding, taxonomic
dc.subjectDna fingerprinting
dc.subjectGastrointestinal microbiome
dc.subjectGastrointestinal tract
dc.subjectHomeostasis
dc.subjectHumans
dc.subjectMolecular targeted therapy
dc.subjectOligonucleotide array sequence analysis
dc.subjectPrecision medicine
dc.subjectRna, ribosomal, 16s
dc.subjectRna 16s
dc.subjectAntiinfective agent
dc.subjectArticle
dc.subjectColorectal cancer
dc.subjectCrohn disease
dc.subjectDna microarray
dc.subjectFluorescence in situ hybridization
dc.subjectGastrointestinal disease
dc.subjectHigh throughput sequencing
dc.subjectHuman
dc.subjectInflammatory bowel disease
dc.subjectIntestine flora
dc.subjectLactobacillus fermentum
dc.subjectMicrobial community
dc.subjectMicrobiome
dc.subjectBacterium identification
dc.subjectDna barcoding
dc.subjectGenetics
dc.subjectMicrobiology
dc.subjectMolecularly targeted therapy
dc.subjectPathology
dc.subjectPersonalized medicine
dc.subjectProcedures
dc.titleThe fingerprint of the human gastrointestinal tract microbiota: A hypothesis of molecular mapping
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2017-9166.pdf
Size:
1.16 MB
Format:
Adobe Portable Document Format