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1.
J Med Microbiol ; 71(12)2022 Dec.
Article in English | MEDLINE | ID: mdl-36748613

ABSTRACT

Introduction. Aggregatibacter are Gram-negative, facultatively anaerobic rods or coccobacilli that are infrequently encountered as pathogens causing infection.Hypothesis/Gap Statement. The range of invasive infection that Aggregatibacter cause is poorly described. The pathogenicity of species such as Aggregatibacter segnis is debated.Aim. To identify invasive infection due to Aggregatibacter species in a large healthcare organization and to characterize clinical syndromes, co-morbidities and risk factors.Methodology. All microbiological samples positive for Aggregatibacter species were identified by conventional culture or 16S rRNA PCR between October 2017 and March 2021. Electronic records for all patients with positive samples were reviewed and the infection syndrome classified for patients with invasive disease.Results. Twenty-seven patients with invasive infection were identified, with a statistically significant difference in species-specific patterns of invasive infection (P=0.02) and a statistically significant association with residence in the 30 % most deprived households in the UK by postcode (P<0.01). The three most common co-morbidities were periodontitis or recent dental work (29.6%), cardiovascular disease (25.9%) and diabetes (18.5 %).Conclusion. We describe a novel association of Aggregatibacter segnis with skin and soft tissue infection. The propensity of the Aggregatibacter species to cause invasive infection at different body sites and be associated with deprivation is reported. Aggregatibacter actinomycetemcomitans bacteraemia was associated with infective endocarditis, and Aggregatibacter aphrophilus was implicated in severe appendicitis and noted to cause brain abscess. Areas warranting future research include exploring the risk-factors required for invasive infection and those that may determine the species-specific differences in patterns of invasive disease.


Subject(s)
Endocarditis, Bacterial , Humans , Aggregatibacter/genetics , Retrospective Studies , RNA, Ribosomal, 16S/genetics , Endocarditis, Bacterial/microbiology
2.
J Microbiol Immunol Infect ; 54(6): 1130-1138, 2021 Dec.
Article in English | MEDLINE | ID: mdl-33390332

ABSTRACT

BACKGROUND/PURPOSE: This study aimed to investigate the clinical characteristics and outcomes of bacteremia caused by Haemophilus and Aggregatibacter species in patients who were treated at a medical center between 2006 and 2018. METHODS: Haemophilus and Aggregatibacter isolates were identified up to the species level using Bruker Biotyper MALDI-TOF analysis and ancillary 16S rRNA gene sequencing analysis (in case of ambiguity). Clinical characteristics and outcomes of patients with bacteremia caused by these organisms were evaluated. RESULTS: Sixty-five Haemophilus and Aggregatibacter species isolates causing bacteremia were identified from nonduplicated patients, including 51 (78.5%) Haemophilus influenzae, 6 (9.2%) Haemophilus parainfluenzae, 1 (1.5%) Haemophilus haemolyticus, 3 (4.6%) A. aphrophilus, and 4 (6.2%) A. segnis. Hospital mortality was observed in 18 (28.1%) of 64 patients with bacteremia caused by Haemophilus (n = 57) and Aggregatibacter species (n = 7). The majority of patients with bacteremia had community-acquired disease with low severity. The average Sequential Organ Failure Assessment (SOFA) score was low (4.4 ± 4.7). But, a higher SOFA score (adjusted odds ratio 2.5, 95% confidence interval 1.22-5.12; P = 0.01) was an independent factor predicting poor 7-day clinical outcomes in patients with community-acquired H. influenzae bacteremia (n = 39). CONCLUSIONS: The overall hospital mortality of 28.1% was observed among patients with bacteremia due to Haemophilus and Aggregatibacter species. A higher SOFA score was and independent predictor of poor 7-day clinical outcomes in patients with community-acquired H. influenzae bacteremia.


Subject(s)
Aggregatibacter/drug effects , Anti-Bacterial Agents/pharmacology , Bacteremia/microbiology , Haemophilus/drug effects , Adult , Aged , Aggregatibacter/classification , Aggregatibacter/genetics , Bacteremia/diagnosis , Female , Haemophilus/classification , Haemophilus/genetics , Hospital Mortality , Humans , Male , Microbial Sensitivity Tests , Middle Aged , Organ Dysfunction Scores , RNA, Ribosomal, 16S/genetics
3.
Proc Natl Acad Sci U S A ; 116(39): 19685-19694, 2019 09 24.
Article in English | MEDLINE | ID: mdl-31427504

ABSTRACT

Recent evidence suggests that the genes an organism needs to survive in an environment drastically differ when alone or in a community. However, it is not known if there are universal functions that enable microbes to persist in a community and if there are functions specific to interactions between microbes native to the same (sympatric) or different (allopatric) environments. Here, we ask how the essential functions of the oral pathogen Aggregatibacter actinomycetemcomitans change during pairwise coinfection in a murine abscess with each of 15 microbes commonly found in the oral cavity and 10 microbes that are not. A. actinomycetemcomitans was more abundant when coinfected with allopatric than with sympatric microbes, and this increased fitness correlated with expanded metabolic capacity of the coinfecting microbes. Using transposon sequencing, we discovered that 33% of the A. actinomycetemcomitans genome is required for coinfection fitness. Fifty-nine "core" genes were required across all coinfections and included genes necessary for aerobic respiration. The core genes were also all required in monoinfection, indicating the essentiality of these genes cannot be alleviated by a coinfecting microbe. Furthermore, coinfection with some microbes, predominately sympatric species, induced the requirement for over 100 new community-dependent essential genes. In contrast, in other coinfections, predominately with nonoral species, A. actinomycetemcomitans required 50 fewer genes than in monoinfection, demonstrating that some allopatric microbes can drastically alleviate gene essentialities. These results expand our understanding of how diverse microbes alter growth and gene essentiality within polymicrobial infections.


Subject(s)
Aggregatibacter actinomycetemcomitans/genetics , Genes, Essential/genetics , Microbiota/genetics , Sympatry/genetics , Aggregatibacter/genetics , Aggregatibacter actinomycetemcomitans/pathogenicity , Animals , Coinfection , Genetic Fitness/genetics , Mice , RNA, Ribosomal, 16S/genetics
4.
J Clin Microbiol ; 56(7)2018 07.
Article in English | MEDLINE | ID: mdl-29695522

ABSTRACT

Aggregatibacter species are commensal bacteria of human mucosal surfaces that are sometimes involved in serious invasive infections. During the investigation of strains cultured from various clinical specimens, we encountered a coherent group of 10 isolates that could not be allocated to any validly named species by phenotype, mass spectrometry, or partial 16S rRNA gene sequencing. Whole-genome sequencing revealed a phylogenetic cluster related to but separate from Aggregatibacter aphrophilus The mean in silico DNA hybridization value for strains of the new cluster versus A. aphrophilus was 56% (range, 53.7 to 58.0%), whereas the average nucleotide identity was 94.4% (range, 93.9 to 94.8%). The new cluster exhibited aggregative properties typical of the genus Aggregatibacter Key phenotypic tests for discrimination of the new cluster from validly named Aggregatibacter species are alanine-phenylalanine-proline arylamidase, N-acetylglucosamine, and ß-galactosidase. The name Aggregatibacter kilianii is proposed, with PN_528 (CCUG 70536T or DSM 105094T) as the type strain.


Subject(s)
Aggregatibacter/classification , Aggregatibacter/genetics , Genome, Bacterial/genetics , Pasteurellaceae Infections/microbiology , Phylogeny , Aggregatibacter/physiology , Comparative Genomic Hybridization , DNA, Bacterial/genetics , Humans , Phenotype , Sequence Analysis, DNA , Sequence Homology, Nucleic Acid , Species Specificity
5.
BMC Oral Health ; 14: 157, 2014 Dec 17.
Article in English | MEDLINE | ID: mdl-25518856

ABSTRACT

BACKGROUND: To investigate the microbial composition of biofilms at inflamed peri-implant and periodontal tissues in the same subject, using 16S rRNA sequencing. METHODS: Supra- and submucosal, and supra- and subgingival plaque samples were collected from 7 subjects suffering from diseased peri-implant and periodontal tissues. Bacterial DNA was isolated and 16S rRNA genes were amplified, sequenced and aligned for the identification of bacterial genera. RESULTS: 43734 chimera-depleted, denoised sequences were identified, corresponding to 1 phylum, 8 classes, 10 orders, 44 families and 150 genera. The most abundant families or genera found in supramucosal or supragingival plaque were Streptoccocaceae, Rothia and Porphyromonas. In submucosal plaque, the most abundant family or genera found were Rothia, Streptococcaceae and Porphyromonas on implants. The most abundant subgingival bacteria on teeth were Prevotella, Streptococcaceae, and TG5. The number of sequences found for the genera Tannerella and Aggregatibacter on implants differed significantly between supra- and submucosal locations before multiple testing. The analyses demonstrated no significant differences between microbiomes on implants and teeth in supra- or submucosal and supra- or subgingival biofilms. CONCLUSION: Diseased peri-implant and periodontal tissues in the same subject share similiar bacterial genera and based on the analysis of taxa on a genus level biofilm compositions may not account for the potentially distinct pathologies at implants or teeth.


Subject(s)
Bacteria/classification , Biofilms/classification , Dental Deposits/microbiology , Dental Implants/microbiology , Periodontitis/microbiology , Actinomycetaceae/classification , Actinomycetaceae/genetics , Aggregatibacter/classification , Aggregatibacter/genetics , Bacteria/genetics , Bacteroides/classification , Bacteroides/genetics , DNA, Bacterial/analysis , Dental Plaque Index , Gram-Negative Bacteria/classification , Gram-Negative Bacteria/genetics , Gram-Positive Bacteria/classification , High-Throughput Nucleotide Sequencing , Humans , Porphyromonas/classification , Porphyromonas/genetics , Prevotella/classification , Prevotella/genetics , RNA, Ribosomal, 16S/analysis , Sequence Analysis, DNA , Streptococcaceae/classification , Streptococcaceae/genetics
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