6533b823fe1ef96bd127e08f

RESEARCH PRODUCT

Oxidative stress in the oral cavity is driven by individualspecific bacterial communities

Daniel Martinez-martinezNúria JiménezAndrés MoyaGiuseppe D'auriaJorge F. Vázquez-castellanosH M H N BandaraPeter CelecAmparo LatorreKatarína JanšákováRoman GardlikMária EdžunkováMichal BehuliakMichal BehuliakJose Manuel Martí

subject

0301 basic medicineSalivaACID REACTING SUBSTANCES030106 microbiologyPhysiologyDiseasemedicine.disease_causeApplied Microbiology and BiotechnologyMicrobiologylcsh:Microbial ecologyArticle03 medical and health sciencesmedicineMicrobiomeGENE-EXPRESSIONTOTAL ANTIOXIDANT CAPACITYScience & TechnologyDENTAL-CARIESPLASMASTABILITYbiologybiology.organism_classificationmedicine.diseaseSALIVARY MARKERSSTREPTOCOCCUS-MUTANSStreptococcus mutansMICROBIOME030104 developmental biologyBiotechnology & Applied MicrobiologyMetagenomicslcsh:QR100-130Life Sciences & BiomedicineDysbiosisRESISTANCEBacteriaOxidative stressBiotechnology

description

The term “bacterial dysbiosis” is being used quite extensively in metagenomic studies, however, the identification of harmful bacteria often fails due to large overlap between the bacterial species found in healthy volunteers and patients. We hypothesized that the pathogenic oral bacteria are individual-specific and they correlate with oxidative stress markers in saliva which reflect the inflammatory processes in the oral cavity. Temporally direct and lagged correlations between the markers and bacterial taxa were computed individually for 26 volunteers who provided saliva samples during one month (21.2 ± 2.7 samples/volunteer, 551 samples in total). The volunteers’ microbiomes differed significantly by their composition and also by their degree of microbiome temporal variability and oxidative stress markers fluctuation. The results showed that each of the marker-taxa pairs can have negative correlations in some volunteers while positive in others. Streptococcus mutans, which used to be associated with caries before the metagenomics era, had the most prominent correlations with the oxidative stress markers, however, these correlations were not confirmed in all volunteers. The importance of longitudinal samples collections in correlation studies was underlined by simulation of single sample collections in 1000 different combinations which produced contradictory results. In conclusion, the distinct intra-individual correlation patterns suggest that different bacterial consortia might be involved in the oxidative stress induction in each human subject. In the future, decreasing cost of DNA sequencing will allow to analyze multiple samples from each patient, which might help to explore potential diagnostic applications and understand pathogenesis of microbiome-associated oral diseases.

10.1038/s41522-018-0072-3http://hdl.handle.net/10261/184411