This pilot study aimed to investigate the effects of gallic acid-containing mouth spray on oral microbiota in healthy cat subjects. Forty healthy cats were recruited and randomly allocated to the control (G1; n = 20) and treatment groups (G2; n = 20). The cats were treated with mouth spray twice daily for 42 days. The changes in the gingival index (GI) and plaque index (PI) were measured at baseline (day 0) and end of the study (42nd day). The changes in the oral microbial composition of representative animals (control, n = 9; and treatment, n = 8) were also evaluated at baseline and end of the study. Oral microbial composition was assessed by amplifying the V1–V3 region of the 16S rRNA gene from supragingival dental plaque DNA extracts. The sequences were annotated using the QIIME 2.0. The GI and PI were significantly reduced after 42 days of treatment. The deep sequencing revealed that mouth spray influenced the cats’ oral microbiome and was significantly diverse. About 20 phyla and 59 species were observed after 42 days of mouth spray usage in cats’ oral microbiota. The number of operational taxonomic units (OTUs) of post-treatment samples (PoTS) of G2 was greatly reduced compared to other samples. Further analysis revealed that mouth spray acts substantially against Desulfomicrobium orale, one of the known pathogens in periodontal disease. The mouth spray efficiently reduced the growth of 22 species and uprooted 17 species. Moreover, the mouth spray supported the growth of normal oral microbiota, including Moraxella and Neisseria species. The preliminary study suggested that the gallic acids-containing mouth spray could be an essential oral product to improve the oral hygiene of the cats. Moreover, further studies are needed to confirm the beneficial effect of mouth spray on cats.
This research aimed to assess the occurrence of bacterial pathogens and their antimicrobial resistance in dogs presenting with canine periapical tooth abscesses. Sample swabs were performed on 45 dogs who had undergone dental surgery between January 2019 and August 2020 at the Veterinary Teaching Hospital, Chiang Mai University. Samples were analyzed within 24 hours at Veterinary Diagnostic Laboratory, Chiang Mai University to identify any bacterial species and to investigate their potential antimicrobial susceptibility according to CLSI guidelines. A high proportion of gram-negative and facultative species were identified. Out of the 17 species obtained, Pseudomonas aeruginosa (34.6 %) was determined to be the predominant species followed by Escherichia coli (15.4%) and Klebsiella pneumoniae (11.5%), respectively. P. aeruginosa was highly resistant (100.0%) to ampicillin and clindamycin, while E. coli and K. pneumoniae were found to be highly resistant (100.0%) to clindamycin in terms of antimicrobial susceptibility. However, E. coli was more resistant to enrofloxacin, gentamicin, and norfloxacin than K. pneumoniae. When focusing on the resistance rates of all species, clindamycin exhibited the highest degree of resistance, followed by ampicillin and amoxicillin, respectively. Amoxicillin-clavulanate is an empirical antibiotic in our area that has exhibited a resistance rate of 48.7%. The outcomes of our study have suggested that fluoroquinolone and aminoglycoside could be used to treat canine periapical tooth abscesses. However, the renal effect of these drugs must be considered. Importantly, antibiotic selection must depend upon the results of bacterial culture and antimicrobial susceptibility tests in order to reduce any potential antimicrobial resistance issues.
The pilot study aimed to investigate the effects of GAMS on oral microbiota in healthy dog subjects. Thirty-eight dogs were recruited and randomly allocated to the placebo (n = 19) and treatment groups (n = 19). The dogs were treated with mouth spray once daily for 42 days. The changes in the gingival index (GI), plaque index (PI), and calculus index (CI) were measured at baseline (day 0) and end of the study (42nd day). The changes in the oral microbial composition of representative dogs (placebo, n = 7; and treatment, n = 7) were also evaluated at baseline and end of the study. Oral microbial composition was assessed by sequencing. The sequences were annotated using the QIIME 2.0TM. The GI, PI, and CI indexes were reduced after the GAMS usage. The abundance of the commensal bacterial phylum Actinobacteria and Chloroflexi, genera Frederiksenia, and Bergeyella was improved after six weeks of GAMS usage. GAMS reduced the pathogenic bacterial species, including Neisseria sp., Desulfobulbus sp., Capnocytophaga canis, and Corynebacterium mustelae. Moreover, some pathogenic bacterial abundances were increased at the end of the study. All the microbial variations were observed within the group. The inter-group analysis revealed that the changes were unrelated to GAMS usage. Further studies need to be carried out using more experimental subjects to confirm the effectiveness of GAMS. More metagenomic data are required to evidence the GMAS impact on the oral microbiome of healthy dogs.
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