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Oxidative stress in the oral cavity is driven by individual-specific bacterial communities

M. Džunková, D. Martinez-Martinez, R. Gardlík, M. Behuliak, K. Janšáková, N. Jiménez, JF. Vázquez-Castellanos, JM. Martí, G. D'Auria, HMHN. Bandara, A. Latorre, P. Celec, A. Moya,

. 2018 ; 4 (-) : 29. [pub] 20181127

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc19001489

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.

Citace poskytuje Crossref.org

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$a Džunková, Mária $u 1Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain. CIBER in Epidemiology and Public Health (CIBEResp), Madrid, Spain. 3Institute for Integrative Systems Biology (I2SysBio), The University of Valencia and The Spanish National Research Council (CSIC)-UVEG, Valencia, Spain. 4Australian Centre for Ecogenomics, The University of Queensland, St Lucia, QLD Australia.
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$a 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.
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$a Martinez-Martinez, Daniel $u 1Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain. CIBER in Epidemiology and Public Health (CIBEResp), Madrid, Spain. 3Institute for Integrative Systems Biology (I2SysBio), The University of Valencia and The Spanish National Research Council (CSIC)-UVEG, Valencia, Spain.
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$a Behuliak, Michal $u 5Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia. 6Institute of Physiology, Academy of Sciences of the Czech Republic, Praha, Czech Republic.
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$a Janšáková, Katarína $u 5Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia. 7Institute of Physiology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
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$a Jiménez, Nuria $u 1Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain. CIBER in Epidemiology and Public Health (CIBEResp), Madrid, Spain. 3Institute for Integrative Systems Biology (I2SysBio), The University of Valencia and The Spanish National Research Council (CSIC)-UVEG, Valencia, Spain.
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$a Vázquez-Castellanos, Jorge F $u 1Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain. CIBER in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
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$a Latorre, Amparo $u 1Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain. CIBER in Epidemiology and Public Health (CIBEResp), Madrid, Spain. 3Institute for Integrative Systems Biology (I2SysBio), The University of Valencia and The Spanish National Research Council (CSIC)-UVEG, Valencia, Spain.
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$a Celec, Peter $u 5Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
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$a Moya, Andrés $u 1Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain. CIBER in Epidemiology and Public Health (CIBEResp), Madrid, Spain. 3Institute for Integrative Systems Biology (I2SysBio), The University of Valencia and The Spanish National Research Council (CSIC)-UVEG, Valencia, Spain.
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