Identification of oral anaerobic bacteria and the beta-lactamase resistance genes from Iranian patients with periodontitis

Kalali, Naeemeh; Kadkhoda, Z; Amid, Reza; Ghourchian, Sedighe; Douraghi, Masoumeh

doi:10.1016/j.anaerobe.2022.102515

Cited by 7 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…gingivalis presented low resistance to amoxicillin. These findings corroborate previous studies that have assessed antimicrobial resistance in periodontitis (Jepsen et al, 2021;Kalali et al, 2022;Preus et al, 1995).…”

Section: Discussionsupporting

confidence: 92%

Antibiotic resistance in periodontitis patients: A systematic scoping review of randomized clinical trials

2022

View full text Add to dashboard Cite

ObjectivesThe objective of the study was to evaluate the prevalence and proportions of antibiotic‐resistant species in periodontitis patients.MethodsA systematic scoping review of randomized clinical trials (RCTs) was conducted using the PRISMA extension for scoping reviews involving different databases. MeSH terms and keywords were provided to examine only RCTs with antibiotic‐resistant results that included at least 3 months of follow‐up of systematically healthy patients diagnosed with periodontitis and treated with systemic or local antibiotics adjunctive to subgingival debridement. RCTs that managed participants surgically, duplicate publications, and investigations implemented on animals were discarded.ResultsSix RCTs were chosen. These studies included 465 patients. Most investigations observed that while Aggregatibacter actinomycetemcomitans, Tannerella forsythia, and Porphyromonas gingivalis had low resistance to amoxicillin, microorganisms in many sites showed resistance to tetracycline, metronidazole, and azithromycin pretreatment. A. actinomycetemcomitans showed high resistance to tetracycline pre‐ and post‐therapy. The proportion of antibiotic‐resistant samples augmented rapidly after the prescription of antibiotics in all test groups. The percentage of antibiotic‐resistant microorganisms decreased over time; at the end of the follow‐up period, resistance levels were close to baseline levels.ConclusionsAdjunctive local and systemic antibiotic treatment temporarily increased the antibiotic resistance of subgingival microorganisms; nonetheless, many bacteria remained susceptible to antibiotics during their administration.

show abstract

Section: Discussionsupporting

confidence: 92%

Antibiotic resistance in periodontitis patients: A systematic scoping review of randomized clinical trials

2022

View full text Add to dashboard Cite

show abstract

“…In a study aimed at analyzing the distribution of beta-lactamase resistance genes in patients with periodontitis, it was found that lactobacilli, identified by 16S rRNA gene sequencing, were involved in 26.3% of 129 cases of periodontitis. Limosilactobacillus fermentum was most often isolated, followed by Ligilactobacillus salivarius , L. paracasei , and L. rhamnosus [ 64 ].…”

Section: Investigations On the Frequency Of Lactobacilli Infectionsmentioning

confidence: 99%

Lactobacilli Infection Case Reports in the Last Three Years and Safety Implications

et al. 2022

View full text Add to dashboard Cite

Lactobacilli constitute the dominant microbiota in many fermented foods and comprise widely used probiotics. However, these bacteria cause rare infections mostly in diabetic and immunocompromised subjects in presence of risk factors such as prosthetic hearth valves and dental procedures or caries. The scope of this survey was re-assessing the pathogenic potential of lactobacilli based on the infection case reports published in the last three years. In 2019, 2020, and 2021, total of 17, 15, and 16 cases, respectively, including endocarditis, bacteremia, and other infections, were reported. These annual numbers are higher than those observed previously. Lacticaseibacillus rhamnosus (13 cases), comprising strain GG (ATCC 53103) with established applications in healthcare, L. paracasei (7 cases), Lactobacillus acidophilus (5 cases), L. jensenii (5 cases), Lactiplantibacillus plantarum (3 cases), L. paraplantarum, L. delbrueckii subsp. delbrueckii, L. gasseri, L. paragasseri, Limosilactobacillus fermentum, and L. reuteri (1 case each) were involved. Virulence characterization of two strains that caused infections, a derivative of L. rhamnosus GG and L. paracasei LP10266, indicated that increased biofilm-forming capacity favors pathogenicity and it is determined by variable genetic traits. This survey highlights that the strains of lactobacilli that cause infections are little characterized genetically. Instead, to avoid that these bacteria become a hazard, genetic stability should be periodically re-evaluated by whole genome sequencing (WGS) to ensure that only non-pathogenic variants are administered to vulnerable individuals.

show abstract

“…Metabolites produced from most anaerobic bacteria in the human body are highly involved in maintaining the metabolic balance and homeostasis of the host. However, changes in the ratio of some anaerobic species in the oral cavity can disrupt these balances [ 12 , 13 ]. Previous studies showed that the intraoral frequency of Porphyromonas gingivalis , one of the ‘red complex’ bacteria associated with periodontal disease, is involved in changes in the intestinal Bacteroidetes / Firmicutes ratio [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Understanding the bacterial compositional network associations between oral and gut microbiome within healthy Koreans

Jeong

Ahn²,

Mun

et al. 2023

Journal of Oral Microbiology

View full text Add to dashboard Cite

Oral microbial ecosystem could influence intestinal diseases, but there have been insufficient studies demonstrating the association of microbial composition between the oral cavity and the intestinal system. Thus, we aimed to investigate the compositional network within the oral microbiome related to gut enterotype from saliva and stool samples collected from 112 healthy Korean subjects. Here, we performed bacterial 16S amplicon sequencing from clinical samples. Then, we determined oral microbiome type related to individual’s gut enterotype for healthy Korean. The co-occurrence analysis was performed to interactivity prediction of microbiome within saliva samples. As a result, it could be classified into two Korean oral microbiome types (KO) and four oral–gut-associated microbiome types (KOGA) according to distribution and significant differences of oral microflora. The co-occurrence analysis showed various bacterial compositional networks linked around Streptococcus and Haemophilus within healthy subjects. The present study was first approach in healthy Koreans to identify the oral microbiome types related to the gut microbiome and investigate their characteristics. Hence, we suggest that our results could be potential healthy control data for identifying differences in microbial composition between healthy people and oral disease patients and studying microbial association with the gut microbial environment (oral–gut microbiome axis).

show abstract

Identification of oral anaerobic bacteria and the beta-lactamase resistance genes from Iranian patients with periodontitis

Cited by 7 publications

References 34 publications

Antibiotic resistance in periodontitis patients: A systematic scoping review of randomized clinical trials

Antibiotic resistance in periodontitis patients: A systematic scoping review of randomized clinical trials

Lactobacilli Infection Case Reports in the Last Three Years and Safety Implications

Understanding the bacterial compositional network associations between oral and gut microbiome within healthy Koreans

Contact Info

Product

Resources

About