Oral Commensal Streptococci: Gatekeepers of the Oral Cavity

Baty, Joshua J.; Stoner, Sara N.; Scoffield, Jessica

doi:10.1128/jb.00257-22

Cited by 50 publications

(34 citation statements)

References 192 publications

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“…gordonii ) groups can break down lactic acid or pyruvate into hydrogen peroxide, thereby antagonizing pathogenic species such as S. mutans [78]. In oral cancer, S.…”

Section: Discussionmentioning

confidence: 99%

“…In oral cancer, S. mutans has been shown to promote tumour proliferation and invasion, potentially through upregulation of IL-6 in infected cells [79]. On the other hand, Streptococcus species from the mitis (S. oralis, S parasanguinis and S.mitis) and sanguinis (S. sanguinis and S. gordonii) groups can break down lactic acid or pyruvate into hydrogen peroxide, thereby antagonizing pathogenic species such as S. mutans [78]. In oral cancer, S. mitis, S. salivarius and S. anginosus were found to display anti-tumour effects, including reducing cancer cell viability and promoting CD8 + cytotoxic T cell responses [80][81][82][83].…”

Section: Discussionmentioning

confidence: 99%

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Identification of consensus head and neck cancer-associated microbiota signatures: a systematic review and meta-analysis of 16S rRNA and The Cancer Microbiome Atlas datasets

Yeo,

Li,

et al. 2024

Journal of Medical Microbiology

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Introduction. Multiple reports have attempted to describe the tumour microbiota in head and neck cancer (HNSC). Gap statement. However, these have failed to produce a consistent microbiota signature, which may undermine understanding the importance of bacterial-mediated effects in HNSC. Aim. The aim of this study is to consolidate these datasets and identify a consensus microbiota signature in HNSC. Methodology. We analysed 12 published HNSC 16S rRNA microbial datasets collected from cancer, cancer-adjacent and non-cancer tissues to generate a consensus microbiota signature. These signatures were then validated using The Cancer Microbiome Atlas (TCMA) database and correlated with the tumour microenvironment phenotypes and patient’s clinical outcome. Results. We identified a consensus microbial signature at the genus level to differentiate between HNSC sample types, with cancer and cancer-adjacent tissues sharing more similarity than non-cancer tissues. Univariate analysis on 16S rRNA datasets identified significant differences in the abundance of 34 bacterial genera among the tissue types. Paired cancer and cancer-adjacent tissue analyses in 16S rRNA and TCMA datasets identified increased abundance in Fusobacterium in cancer tissues and decreased abundance of Atopobium , Rothia and Actinomyces in cancer-adjacent tissues. Furthermore, these bacteria were associated with different tumour microenvironment phenotypes. Notably, high Fusobacterium signature was associated with high neutrophil (r=0.37, P<0.0001), angiogenesis (r=0.38, P<0.0001) and granulocyte signatures (r=0.38, P<0.0001) and better overall patient survival [continuous: HR 0.8482, 95 % confidence interval (CI) 0.7758–0.9273, P=0.0003]. Conclusion. Our meta-analysis demonstrates a consensus microbiota signature for HNSC, highlighting its potential importance in this disease.

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“…gordonii ) groups can break down lactic acid or pyruvate into hydrogen peroxide, thereby antagonizing pathogenic species such as S. mutans [78]. In oral cancer, S.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Identification of consensus head and neck cancer-associated microbiota signatures: a systematic review and meta-analysis of 16S rRNA and The Cancer Microbiome Atlas datasets

Yeo,

Li,

et al. 2024

Journal of Medical Microbiology

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“…Antagonistic activities among the Streptococci are well documented (Baty et al, 2022;Huang et al, 2018;Kim et al, 2022;Kreth et al, 2005Kreth et al, , 2008Redanz, Cheng, et al, 2018). Much is known about the mechanisms utilized by commensal and cariogenic members of the genus to compete and survive.…”

Section: Indirect Interactions Among Oral Streptococcimentioning

confidence: 99%

“…H 2 O 2 inhibits S. mutans as well as several species associated with periodontal disease (Baty et al, 2022;Zhu & Kreth, 2012;Zhu et al, 2014). The resulting oxidative stress leads to inactivation of glyceraldehyde 3-phosphate dehydrogenase, thus impairing glycolysis, and to DNA damage.…”

Section: Indirect Interactions Among Oral Streptococcimentioning

confidence: 99%

“…Millimolar amounts of H 2 O 2 are produced by a variety of oral streptococci, including highly abundant S. sanguinis and S. gordonii . H 2 O 2 inhibits S. mutans as well as several species associated with periodontal disease (Baty et al, 2022; Zhu & Kreth, 2012; Zhu et al, 2014). The resulting oxidative stress leads to inactivation of glyceraldehyde 3‐phosphate dehydrogenase, thus impairing glycolysis, and to DNA damage.…”

Section: We Can Consider Three Aspects Of the Oral Environment That I...mentioning

confidence: 99%

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Aspects of oral streptococcal metabolic diversity: Imagining the landscape beneath the fog

Zuber

Kreth

2023

Molecular Microbiology

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It is widely acknowledged that the human‐associated microbial community influences host physiology, systemic health, disease progression, and even behavior. There is currently an increased interest in the oral microbiome, which occupies the entryway to much of what the human initially encounters from the environment. In addition to the dental pathology that results from a dysbiotic microbiome, microbial activity within the oral cavity exerts significant systemic effects. The composition and activity of the oral microbiome is influenced by (1) host–microbial interactions, (2) the emergence of niche‐specific microbial “ecotypes,” and (3) numerous microbe–microbe interactions, shaping the underlying microbial metabolic landscape. The oral streptococci are central players in the microbial activity ongoing in the oral cavity, due to their abundance and prevalence in the oral environment and the many interspecies interactions in which they participate. Streptococci are major determinants of a healthy homeostatic oral environment. The metabolic activities of oral Streptococci, particularly the metabolism involved in energy generation and regeneration of oxidative resources vary among the species and are important factors in niche‐specific adaptations and intra‐microbiome interactions. Here we summarize key differences among streptococcal central metabolic networks and species‐specific differences in how the key glycolytic intermediates are utilized.

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Impact of cell lysis treatment before saliva metagenomic DNA extraction on the oral microbiome and the associated resistome

Tansirichaiya,

Songsomboon,

Chaianant

et al. 2024

Clinical & Exp Dental Res

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ObjectivesThe human oral microbiome, a complex ecosystem linked to oral and systemic health, harbors a diverse array of microbial populations, including antimicrobial resistance genes (ARGs). As a critical component of the One Health approach to tackle antibiotic resistance, comprehending the oral resistome's composition and diversity is imperative. The objective of this study was to investigate the impact of chemical cell lysis treatment using MetaPolyzyme on the detectability of the oral microbiome, resistome, and DNA quality and quantity.Materials and MethodsSaliva samples were collected from five healthy individuals, and each of the samples was subjected to DNA extraction with and without the treatment with MetaPolyzyme. Through metagenomic sequencing, we analyzed, assessed, and compared the microbial composition, resistome, and DNA characteristics between both groups of extracted DNA.ResultsOur study revealed that MetaPolyzyme treatment led to significant shifts in the detectability of microbial composition, favoring Gram‐positive bacteria, notably Streptococcus, over Gram‐negative counterparts. Moreover, the MetaPolyzyme treatment also resulted in a distinct change in ARG distribution. This shift was characterized by an elevated proportion of ARGs linked to fluoroquinolones and efflux pumps, coupled with a reduction in the prevalence of tetracycline and β‐lactam resistance genes when compared with the nontreated group. Alpha diversity analysis demonstrated altered species and ARG distribution without affecting overall diversity, while beta diversity analysis confirmed significant differences in the taxonomical composition and oral resistome between treated and nontreated groups.ConclusionsThese findings underscore the critical role of cell lysis treatment in optimizing oral metagenomic studies and enhance our understanding of the oral resistome's dynamics in the context of antimicrobial resistance.

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Oral Commensal Streptococci: Gatekeepers of the Oral Cavity

Abstract: Oral commensal streptococci are primary colonizers of the oral cavity. These streptococci produce many adhesins, metabolites, and antimicrobials that modulate microbial succession and diversity within the oral cavity.

Cited by 50 publications

References 192 publications

Identification of consensus head and neck cancer-associated microbiota signatures: a systematic review and meta-analysis of 16S rRNA and The Cancer Microbiome Atlas datasets

Identification of consensus head and neck cancer-associated microbiota signatures: a systematic review and meta-analysis of 16S rRNA and The Cancer Microbiome Atlas datasets

Aspects of oral streptococcal metabolic diversity: Imagining the landscape beneath the fog

Impact of cell lysis treatment before saliva metagenomic DNA extraction on the oral microbiome and the associated resistome

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