Introduction/objectives: Chlorhexidine (CHX) is a commonly used mouthwash with potent anti-microbial effects useful for the management of oral disease. However, we are moving away from the view of simply 'killing' bacteria, towards managing oral microbial ecosystems (oral microbiome), as an integrated system, to promote oral and systemic health. Here, we aimed to review the effects of CHX mouthwash on the balance of microbial communities in the mouth in vivo in oral health and disease.
Sources And Study Section: The hierarchy of evidence was applied, with systematic reviews and randomised controlled trials consulted where available and case controlled studies being described thereafter. Search terms for each subject category were entered into MEDLINE, PubMed, Google Scholar and the Cochrane database. Focussing on metagenomics studies provides unique overview of the oral microbiome as an integrated system.
Data: Evidence was limited, but several next generation sequencing case-controlled studies suggested that in an integrated system, CHX may cause a shift towards lower bacterial diversity and abundance, in particular nitrate-reducing bacteria in vivo. CHX also appeared to alter salivary pH, lactate, nitrate and nitrite concentrations in saliva. Evidence regarding the effects of CHX on the oral microbiome during oral disease is still emerging.
Conclusions: CHX alters the composition the oral microbiome. However, as CHX use remains widespread in dentistry to manage oral disease, urgent research using metagenomics studies of microbial communities in vivo are still needed to determine CHX mouthwash is 'good', 'bad' or otherwise for bacteria, in the context of oral and systemic health.
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http://dx.doi.org/10.1016/j.jdent.2021.103768 | DOI Listing |
Front Microbiol
January 2025
Insect Interactions Laboratory, Department of Entomology and Acarology, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Ann Vasc Dis
January 2025
Division of Cardiovascular Medicine, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
The pathophysiological mechanism of abdominal aortic aneurysm (AAA) remains unclear. We previously reported that levels were reduced in the feces of patients with AAA by 16S ribosomal ribonucleic acid (RNA) gene sequencing. In this study, we increased the number of cases and conducted metagenomic analyses to examine bacterial genes associated with the pathophysiology of AAA.
View Article and Find Full Text PDFActa Naturae
January 2024
Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997 Russian Federation.
The growing incidence of infections caused by antibiotic-resistant strains of pathogens is one of the key challenges of the 21 century. The development of novel technological platforms based on single-cell analysis of antibacterial activity at the whole-microbiome level enables the transition to massive screening of antimicrobial agents with various mechanisms of action. The microbiome of wild animals remains largely underinvestigated.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Faculty of Health and Life Sciences, University of Exeter Medical School, University of Exeter, St Luke's campus, Exeter EX1 2LU, United Kingdom.
Apolipoprotein () genotype and nitric oxide (NO) deficiency are risk factors for age-associated cognitive decline. The oral microbiome plays a critical role in maintaining NO bioavailability during aging. The aim of this study was to assess interactions between the oral microbiome, NO biomarkers, and cognitive function in 60 participants with mild cognitive impairment (MCI) and 60 healthy controls using weighted gene co-occurrence network analysis and to compare the oral microbiomes between carriers and noncarriers in a subgroup of 35 MCI participants.
View Article and Find Full Text PDFClin Implant Dent Relat Res
February 2025
Unit of Basic Oral Investigation-UIBO, School of Dentistry, Universidad El Bosque, Bogotá, Colombia.
Background: This cross-sectional study aimed to compare the composition of the submucosal microbiome of peri-implantitis with paired and unpaired healthy implant samples.
Methods: We evaluated submucosal plaque samples obtained in 39 cases, including 13 cases of peri-implantitis, 13 cases involving healthy implants from the same patient (paired samples), and 13 cases involving healthy implants from different individuals (unpaired samples). The patients were evaluated using next-generation genomic sequencing (Illumina) based on 16S rRNA gene amplification.
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