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RESEARCH PRODUCT
Modulation of Saliva Microbiota through Prebiotic Intervention in HIV-Infected Individuals
Xavier PonsMaría José GosalbesAlba DomingoAlejandro ArtachoAndrés MoyaNuria Jiménez-hernándezSergio Serrano-villarVicente Estradasubject
0301 basic medicineSalivamedicine.medical_treatmentHIV Infectionslcsh:TX341-641Gut floradigestive systemArticleBacterial geneticsFeces03 medical and health sciences0302 clinical medicinefluids and secretionsmedicinemicrobiotaHumansMicrobiomeprebiotic interventionbacteria co-occurrenceFecessalivaNutrition and DieteticsbiologyPrebioticHIV030206 dentistryRibosomal RNAbiology.organism_classificationmedicine.diseaseGastrointestinal MicrobiomeRNA Bacterialstomatognathic diseasesPrebiotics030104 developmental biologyImmunologygutDysbiosislcsh:Nutrition. Foods and food supplyFood Sciencedescription
Human immunodeficiency virus (HIV) infection is characterized by an early depletion of the mucosal associated T helper (CD4+) cells that impair the host immunity and impact the oral and gut microbiomes. Although, the HIV-associated gut microbiota was studied in depth, few works addressed the dysbiosis of oral microbiota in HIV infection and, to our knowledge, no studies on intervention with prebiotics were performed. We studied the effect of a six-week-long prebiotic administration on the salivary microbiota in HIV patients and healthy subjects. Also, the co-occurrence of saliva microorganisms in the fecal bacteria community was explored. We assessed salivary and feces microbiota composition using deep 16S ribosomal RNA (rRNA) gene sequencing with Illumina methodology. At baseline, the different groups shared the same most abundant genera, but the HIV status had an impact on the saliva microbiota composition and diversity parameters. After the intervention with prebiotics, we found a drastic decrease in alpha diversity parameters, as well as a change of beta diversity, without a clear directionality toward a healthy microbiota. Interestingly, we found a differential response to the prebiotics, depending on the initial microbiota. On the basis of 100% identity clustering, we detected saliva sequences in the feces datasets, suggesting a drag of microorganisms from the upper to the lower gastrointestinal tract.
year | journal | country | edition | language |
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2019-06-01 |