Reclassification of [Haemophilus] haemoglobinophilus as Canicola haemoglobinophilus gen. nov., comb. nov. including Bisgaard taxon 35.

[Haemophilus] haemoglobinophilus and the unpublished Bisgaard taxon 35 are associated with respiratory and urogenital tract infections in dogs. A total of 21 strains including the type strain of [Haemophilus] haemoglobinophilus were included in the investigation. Strains of [Haemophilus] haemoglobinophilus and taxon 35 formed a monophyletic group demonstrating at least 97.8 and 96.5% similarities within the group based upon 16S rRNA and rpoB gene sequence comparisons, respectively. Glaesserella australis was the most closely related species to [Haemophilus] haemoglobinophilus and taxon 35 with 96.1 % 16S rRNA gene sequence similarity which is slightly higher than the 95 % separating most genera of the family Pasteurellaceae. However, the conserved protein sequence phylogeny documented a unique position of [Haemophilus] haemoglobinophilus with only 81 % identity to the most closely related species, genomospecies 1 of the genus Rodentibacter which is lower than the 85 % separating most genera of the family Pasteurellaceae. The conserved protein sequence identity to Haemophilus influenzae, the type species of the genus, was 77%, demonstrating that [Haemophilus] haemoglobinophilus is not properly classified as a member of the genus Haemophilus. On the basis of the phylogenetic comparisons, the taxa [Haemophilus] haemoglobinophilus and taxon 35 are proposed to be included with a novel genus Canicola with one species, Canicola haemoglobinophilus which is reclassified from [Haemophilus] haemoglobinophilus. Phenotypic characters obtained with isolates genetically approved to represent Canicola haemoglobinophilus were in accordance with those of the members of the family Pasteurellaceae, and the novel genus can be separated from most of the existing genera by a positive catalase reaction, lack of V-factor requirement for growth, lack of haemolysis of blood agar and negative Voges-Proskauer and urease tests. The novel genus cannot be separated by biochemical and physiological characteristics alone from the genera Aggregatibacter, Avibacterium, Frederiksenia and Spirabiliibacterium. However, MALDI-TOF mass spectroscopy and also RpoB amino acid signatures allowed a clear separation from these taxa, supporting the existence of a novel genus. The DNA G+C content is 37.0-37.8 mol% for the genus, based on the whole genomic sequences. The type strain of Canicola haemoglobinophilus is CCUG 3714T (=ATCC 19416T=NCTC 1659T) isolated in 1901 from the prepuce of a dog in Germany.

Exploring the signature gut and oral microbiome in individuals of specific Ayurveda prakriti.

Diagnosis and treatment of various diseases in Ayurveda, the Indian system of medicine, relies on 'prakriti' phenotyping of individuals into predominantly three constitutions, kapha, pitta and vata. Recent studies propose that microbiome play an integral role in precision medicine. A study of the relationship between prakriti - the basis of personalized medicine in Ayurveda and that of gut microbiome, and possible biomarker of an individual's health, would vastly improve precision therapy. Towards this, we analyzed bacterial metagenomes from buccal (oral microbiome) and fecal (gut microbiome) samples of 272 healthy individuals of various predominant prakritis. Major bacterial genera from gut microbiome included Prevotella, Bacteroides and Dialister while oral microbiome included Streptococcus, Neisseria, Veilonella, Haemophilus, Porphyromonas and Prevotella. Though the core microbiome was shared across all individuals, we found prakriti specific signatures such as preferential presence of Paraprevotella and Christensenellaceae in vata individuals. A comparison of core gut microbiome of each prakriti with a database of 'healthy' microbes identified microbes unique to each prakriti with functional roles similar to the physiological characteristics of various prakritis as described in Ayurveda. Our findings provide evidence to Ayurvedic interventions based on prakriti phenotyping and possible microbial biomarkers that can stratify the heterogenous population and aid in precision therapy.

Clinical characteristics of bacteremia caused by Haemophilus and Aggregatibacter species and antimicrobial susceptibilities of the isolates.

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.

Severity of Respiratory Infections With Seasonal Coronavirus Is Associated With Viral and Bacterial Coinfections.

The clinical presentation of human coronavirus (HCoV) infections in children varies strongly. We show that children with an HCoV-associated lower respiratory tract infection more frequently had respiratory syncytial virus codetected and higher abundance of Haemophilus influenzae/haemolyticus than asymptomatic HCoV carriers as well as children with a non-HCoV-associated lower respiratory tract infection. Viral and bacterial cooccurrence may drive symptomatology of HCoV-associated infections including coronavirus disease 2019.

In vitro susceptibility of ceftaroline against clinically important Gram-positive cocci, Haemophilus species and Klebsiella pneumoniae in Taiwan: Results from the Antimicrobial Testing Leadership and Surveillance (ATLAS) in 2012-2018.

BACKGROUND/PURPOSE: Ceftaroline, with a unique activity against methicillin-resistant Staphylococcus aureus (MRSA), was not launched in Taiwan before 2019. The in vitro susceptibility data of ceftaroline against important Taiwanese pathogens are lacking. METHODS: The in vitro susceptibility of ceftaroline against important pathogens collected from 2012 through 2018 were extracted from the Antimicrobial Testing Leadership and Surveillance program. Broth microdilution method was used to determine the minimum inhibitory concentrations (MICs) to ceftaroline against all isolates. RESULTS: During the study period, the in vitro data regarding isolates of S. aureus (n = 2049), Staphylococcus epidermidis (n = 185), Streptococcus pneumoniae (n = 334), Streptococcus pyogenes (n = 170), Haemophilus influenzae (n = 75), Haemophilus parainfluenzae (n = 10) and Klebsiella pneumoniae (n = 680) regardless of hospital sites of collection were analyzed. Among the S. aureus isolates studied, 19.4% showed MICs of 1 mg/L to ceftaroline, and 4.4% showed in vitro susceptible-dose dependent to ceftaroline (all MICs, 2 mg/L). Most of other Gram-positive cocci, all H. influenzae and H. parainfluenzae isolates were susceptible to ceftaroline. By contrast, about one-third (35.9%) of K. pneumoniae isolates, irrespective of infection sources, exhibited non-susceptibility to ceftaroline (MIC range, 0.015-256 mg/L; MIC50 and MIC90 values, 0.12 and 256 mg/L, respectively). CONCLUSIONS: From the pharmacodynamic perspectives, the ceftaroline dosage of 600 mg as a 2-h intravenous infusion every 8 h is effective against all S. aureus and other Gram-positive isolates regardless of acquisition sites in Taiwan. Before ceftaroline is prescribed in treatment of the patient with Gram-negative infection, a cautious evaluation about patient's healthcare-associated factor is warranted.

Comparative analysis of the pulmonary microbiome in healthy and diseased pigs.

The lungs possess an effective antimicrobial system and a strong ability to eliminate microorganisms in healthy organisms, and were once considered sterile. With the development of culture-independent sequencing technology, the richness and diversity of porcine lung microbiota have been gaining attention. In order to study the relationship between lung microbiota and porcine respiratory disease complex (PRDC), the lung microbiota in healthy and diseased swine bronchoalveolar lavage fluids were analyzed and compared using the Illumina MiSeq sequencing platform. The predominant microbial communities of healthy and diseased swine were similar at the phylum level, mainly composed of Proteobacteria, Firmicutes, Tenericutes, and Bacteroidetes. However, the bacterial taxonomic communities of healthy and diseased swine differed at the genus level. The higher relative abundances of Lactococcus, Enterococcus, Staphylococcus, and Lactobacillus genera in healthy swine might provide more benefits for lung health, while the enhanced richness of Streptococcus, Haemophilus, Pasteurella, and Bordetella genera in diseased swine might be closely related to pathogen invasion and the occurrence of respiratory disease. In conclusion, the observed differences in the richness and diversity of lung microbiota can provide novel insights into their relationship with PRDC. Analyses of swine lung microbiota communities might produce an effective strategy for the control and prevention of respiratory tract infections.

Haemophilus seminalis sp. nov., isolated from human semen.

Two Haemophilus-like isolates with similar biochemical characteristics, designated strains SZY H1T and SZY H2, were isolated from human semen specimens. Cells were Gram-negative, non-motile, non-acid-fast, pleomorphic rods or coccobacilli. The major fatty acids (>10 %) were C16 : 0, C14 : 0, iso-C16 : 0 and/or C14 : 0 3-OH and C16 : 1 ω6c and/or C16 : 1 ω7c. The polar lipids were determined to be phosphatidylethanolamine, phosphatidylglycerol, an unidentified phospholipid, an unidentified aminophospholipid, two unidentified polar lipids and four unidentified aminolipids. The major polyamine was found to be cadaverine. The near-full-length (1462 nt) 16S rRNA gene sequences analysis showed the two isolates were nearly identical (>99.8 %), and closely matched Haemophilus haemolyticus ATCC 33390T with 98.9-99.1 % sequence similarities. Phylogenetic analysis based on 16S rRNA gene sequences and concatenation of 30 protein markers also revealed that the isolates clustered together with H. haemolyticus ATCC 33390T, and formed a distinct lineage well separated from the other members of the genus Haemophilus. Further, the average nucleotide identity values between the two isolates and their related species were below the established cut-off values for species delineation (95 %). Based on these findings, the two isolates are considered to represent a new species of the genus Haemophilus, for which name Haemophilus seminalis sp. nov. is proposed. The type strain is SZY H1T (=NBRC 113782T=CGMCC 1.17137T).

Identification and Characterization of "Haemophilus quentini" Strains Causing Invasive Disease in Ontario, Canada (2016 to 2018).

Haemophilus influenzae is a well-established human pathogen capable of causing a range of respiratory and invasive diseases. Since the 1970s, it has been observed that a nontypeable cryptic genospecies of H. influenzae, most often biotype IV, has been associated with the genitourinary tracts of females and with invasive neonatal infections. This distinct genospecies has been provisionally named "Haemophilus quentini" Here, we report seven cases of invasive H. quentini disease in patients from Ontario, Canada, over a 2-year period. Significantly, while most reports of invasive disease with H. quentini to date have been in neonates, we observed five cases in adults (three in women of childbearing age and two in seniors) as well as two in neonates. Identification of H. quentini is challenging and was not possible for frontline laboratories, requiring work at the reference laboratory level. We describe in detail the biochemical results, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-Tof MS) results, and PCR results with several targets, including the 16S rRNA gene and multilocus sequence typing (MLST) genes, for the seven Ontario H. quentini isolates and several controls. Our data, combined with those of other publications, support the fact that H. quentini is distinct from H. influenzae and Haemophilus haemolyticus This organism is recognized as a pathogen of neonates, but we hypothesize that it may be underrecognized as an important pathogen in adults as well, particularly pregnant women. By sharing the detailed descriptions of these isolates, we hope to enable other laboratories to better identify H. quentini so that the true prevalence of this organism and disease can be explored.

Diversity patterns of bacteriophages infecting Aggregatibacter and Haemophilus species across clades and niches.

Aggregatibacter and Haemophilus species are relevant human commensals and opportunistic pathogens. Consequently, their bacteriophages may have significant impact on human microbial ecology and pathologies. Our aim was to reveal the prevalence and diversity of bacteriophages infecting Aggregatibacter and Haemophilus species that colonize the human body. Genome mining with comparative genomics, screening of clinical isolates, and profiling of metagenomes allowed characterization of 346 phages grouped in 52 clusters and 18 superclusters. Less than 10% of the identified phage clusters were represented by previously characterized phages. Prophage diversity patterns varied significantly for different phage types, host clades, and environmental niches. A more diverse phage community lysogenizes Haemophilus influenzae and Haemophilus parainfluenzae strains than Aggregatibacter actinomycetemcomitans and "Haemophilus ducreyi". Co-infections occurred more often in "H. ducreyi". Phages from Aggregatibacter actinomycetemcomitans preferably lysogenized strains of specific serotype. Prophage patterns shared by subspecies clades of different bacterial species suggest similar ecoevolutionary drivers. Changes in frequencies of DNA uptake signal sequences and guanine-cytosine content reflect phage-host long-term coevolution. Aggregatibacter and Haemophilus phages were prevalent at multiple oral sites. Together, these findings should help exploring the ecoevolutionary forces shaping virus-host interactions in the human microbiome. Putative lytic phages, especially phiKZ-like, may provide new therapeutic options.

Disseminated "Haemophilus quentini" infection in a patient with multiple myeloma - a case report and review of the literature.

We describe a case report of a 56-year-old male with undiagnosed multiple myeloma who had severe sepsis associated with pneumonia, meningitis, polyarthritis, and osteomyelitis related to invasive "Haemophilus quentini" infection. The genus was misidentified as H. influenzae by the common bacterial identification systems including newly introduced syndromic PCR-based methods. We review the epidemiological, clinical, and laboratory aspects of this rare, cryptic species of Haemophilus.

Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas.

BACKGROUND: Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes. RESULTS: Our clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05 < P ≤ 0.0001) across asthma phenotypes and one of the clinical variables (preterm birth). Similarly, microbial networks of co-occurrence of bacterial genera revealed different bacterial associations across asthma phenotypes. CONCLUSIONS: This study shows that children and adolescents with different clinical characteristics of asthma also show different nasal bacterial profiles, which is indicative of different phenotypes of the disease. Our work also shows how clinical and microbial information could be integrated to validate and refine asthma classification systems and develop biomarkers of disease.

Classification of genera of Pasteurellaceae using conserved predicted protein sequences.

The aim of the investigation was to investigate the phylogeny of the 49 type strains of species of Pasteurellaceae and three genomospecies, which are available with whole genomic sequences. The genomes were downloaded from National Center for Biotechnological Information and for three species of Avibacterium sequenced in the present investigation. From the predicted protein sequences of proteins, which were conserved in all genomes, 31 proteins were randomly selected for the study. The protein sequences were concatenated for each taxon, and a multiple alignment reconstructed for the 52 taxa. Phylogenetic analysis was performed by using the maximum-likelihood and neighbour-joining methods and confirmed the classification of the genera, which have been classified based on phylogenetic analysis of 16S rRNA gene sequences. The comparison linked [Haemophilus]parainfluezae and [Haemophilus] pittmania with Haemophilus influenzae (type species of genus) although at a much lower level than observed for Haemophilus aegyptius, H. influenzae and Haemophilus haemolyticus. The comparison documented that three, three and nine species of Actinobacillus, Pasteurella and Haemophilus, respectively, are not properly classified at genus level. Similar conclusions have been drawn by 16S rRNA gene sequence comparisons. The highest inter genus pairwise similarity was 88 % based on the comparison of the 31 concatenated protein sequences of the species included in the comparison. The level of intra genus pairwise similarity was also 88 %.

Comparison of the first whole genome sequence of 'Haemophilus quentini' with two new strains of 'Haemophilus quentini' and other species of Haemophilus.

Comparison of the genome of the Gram negative human pathogen Haemophilus quentini MP1 with other species of Haemophilus revealed that, although it is more closely related to Haemophilus haemolyticus than Haemophilus influenzae, the pathogen is in fact genetically distinct, a finding confirmed by phylogenetic analysis using the H. influenzae multilocus sequence typing genes. Further comparison with two other H. quentini strains recently identified in Canada revealed that these three genomes are more closely related than any other species of Haemophilus; however, there is still some sequence variation. There was no evidence of acquired antimicrobial resistance within the H. quentini MP1 genome nor any mutations within the DNA gyrase or topoisomerase IV genes known to confer resistance to fluoroquinolones, which has been previously identified in other H. quentini isolates. We hope by presenting the annotation and genetic comparison of the H. quentini MP1 genome it will aid the future molecular detection of this potentially emerging pathogen via the identification of unique genes that differentiate it from other species of Haemophilus.

Haemophilus is overrepresented in the nasopharynx of infants hospitalized with RSV infection and associated with increased viral load and enhanced mucosal CXCL8 responses.

BACKGROUND: While almost all infants are infected with respiratory syncytial virus (RSV) before the age of 2 years, only a small percentage develops severe disease. Previous studies suggest that the nasopharyngeal microbiome affects disease development. We therefore studied the effect of the nasopharyngeal microbiome on viral load and mucosal cytokine responses, two important factors influencing the pathophysiology of RSV disease. To determine the relation between (i) the microbiome of the upper respiratory tract, (ii) viral load, and (iii) host mucosal inflammation during an RSV infection, nasopharyngeal microbiota profiles of RSV infected infants (< 6 months) with different levels of disease severity and age-matched healthy controls were determined by 16S rRNA marker gene sequencing. The viral load was measured using qPCR. Nasopharyngeal CCL5, CXCL10, MMP9, IL6, and CXCL8 levels were determined with ELISA. RESULTS: Viral load in nasopharyngeal aspirates of patients associates significantly to total nasopharyngeal microbiota composition. Healthy infants (n = 21) and RSV patients (n = 54) display very distinct microbial patterns, primarily characterized by a loss in commensals like Veillonella and overrepresentation of opportunistic organisms like Haemophilus and Achromobacter in RSV-infected individuals. Furthermore, nasopharyngeal microbiota profiles are significantly different based on CXCL8 levels. CXCL8 is a chemokine that was previously found to be indicative for disease severity and for which we find Haemophilus abundance as the strongest predictor for CXCL8 levels. CONCLUSIONS: The nasopharyngeal microbiota in young infants with RSV infection is marked by an overrepresentation of the genus Haemophilus. We present that this bacterium is associated with viral load and mucosal CXCL8 responses, both which are involved in RSV disease pathogenesis.

Simultaneous identification of Haemophilus influenzae and Haemophilus haemolyticus using real-time PCR.

AIM: To design a highly specific and sensitive multiplex real-time PCR assay for the differentiation of the pathogen Haemophilus influenzae from its nonpathogenic near-neighbor Haemophilus haemolyticus. MATERIALS & METHODS: A comparison of 380 Haemophilus spp. genomes was used to identify loci specific for each species. Novel PCR assays targeting H. haemolyticus (hypD) and H. influenzae (siaT) were designed. RESULTS & DISCUSSION: PCR screening across 143 isolates demonstrated 100% specificity for hypD and siaT. These two assays were multiplexed with the recently described fucP assay for further differentiation among H. influenzae. CONCLUSION: The triplex assay provides rapid, unambiguous, sensitive and highly specific genotyping results for the simultaneous detection of hypD and siaT, including fucose-positive H. influenzae (fucP), in a single PCR.

Rapid Differentiation of Haemophilus influenzae and Haemophilus haemolyticus by Use of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry with ClinProTools Mass Spectrum Analysis.

Haemophilus influenzae is associated with severe invasive disease, while Haemophilus haemolyticus is considered part of the commensal flora in the human respiratory tract. Although the addition of a custom mass spectrum library into the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) system could improve identification of these two species, the establishment of such a custom database is technically complicated and requires a large amount of resources, which most clinical laboratories cannot afford. In this study, we developed a mass spectrum analysis model with 7 mass peak biomarkers for the identification of H. influenzae and H. haemolyticus using the ClinProTools software. We evaluated the diagnostic performance of this model using 408 H. influenzae and H. haemolyticus isolates from clinical respiratory specimens from 363 hospitalized patients and compared the identification results with those obtained with the Bruker IVD MALDI Biotyper. The IVD MALDI Biotyper identified only 86.9% of H. influenzae (311/358) and 98.0% of H. haemolyticus (49/50) clinical isolates to the species level. In comparison, the ClinProTools mass spectrum model could identify 100% of H. influenzae (358/358) and H. haemolyticus (50/50) clinical strains to the species level and significantly improved the species identification rate (McNemar's test, P < 0.0001). In conclusion, the use of ClinProTools demonstrated an alternative way for users lacking special expertise in mass spectrometry to handle closely related bacterial species when the proprietary spectrum library failed. This approach should be useful for the differentiation of other closely related bacterial species.

Analysis of the association between host genetics, smoking, and sputum microbiota in healthy humans.

Recent studies showing clear differences in the airway microbiota between healthy and diseased individuals shed light on the importance of the airway microbiota in health. Here, we report the associations of host genetics and lifestyles such as smoking, alcohol consumption, and physical activity with the composition of the sputum microbiota using 16S rRNA gene sequence data generated from 257 sputum samples of Korean twin-family cohort. By estimating the heritability of each microbial taxon, we found that several taxa, including Providencia and Bacteroides, were significantly influenced by host genetic factors. Smoking had the strongest effect on the overall microbial community structure among the tested lifestyle factors. The abundances of Veillonella and Megasphaera were higher in current-smokers, and increased with the pack-year value and the Fagerstrom Test of Nicotine Dependence (FTND) score. In contrast, Haemophilus decreased with the pack-year of smoking and the FTND score. Co-occurrence network analysis showed that the taxa were clustered according to the direction of associations with smoking, and that the taxa influenced by host genetics were found together. These results demonstrate that the relationships among sputum microbial taxa are closely associated with not only smoking but also host genetics.

Comparative Analyses of the Lipooligosaccharides from Nontypeable Haemophilus influenzae and Haemophilus haemolyticus Show Differences in Sialic Acid and Phosphorylcholine Modifications.

Haemophilus haemolyticus and nontypeable Haemophilus influenzae (NTHi) are closely related upper airway commensal bacteria that are difficult to distinguish phenotypically. NTHi causes upper and lower airway tract infections in individuals with compromised airways, while H. haemolyticus rarely causes such infections. The lipooligosaccharide (LOS) is an outer membrane component of both species and plays a role in NTHi pathogenesis. In this study, comparative analyses of the LOS structures and corresponding biosynthesis genes were performed. Mass spectrometric and immunochemical analyses showed that NTHi LOS contained terminal sialic acid more frequently and to a higher extent than H. haemolyticus LOS did. Genomic analyses of 10 strains demonstrated that H. haemolyticus lacked the sialyltransferase genes lic3A and lic3B (9/10) and siaA (10/10), but all strains contained the sialic acid uptake genes siaP and siaT (10/10). However, isothermal titration calorimetry analyses of SiaP from two H. haemolyticus strains showed a 3.4- to 7.3-fold lower affinity for sialic acid compared to that of NTHi SiaP. Additionally, mass spectrometric and immunochemical analyses showed that the LOS from H. haemolyticus contained phosphorylcholine (ChoP) less frequently than the LOS from NTHi strains. These differences observed in the levels of sialic acid and ChoP incorporation in the LOS structures from H. haemolyticus and NTHi may explain some of the differences in their propensities to cause disease.

Diversity and homogeneity of oral microbiota in healthy Korean pre-school children using pyrosequencing.

Objectives The purpose of this study was designed to identify the oral microbiota in healthy Korean pre-school children using pyrosequencing. Materials and methods Dental plaque samples were obtained form 10 caries-free pre-school children. The samples were analysed using pyrosequencing. Results The pyrosequencing analysis revealed that, at the phylum level, Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria and Fusobacteria showed high abundance. Also, predominant genera were identified as core microbiome, such as Streptococcus, Neisseria, Capnocytophaga, Haemophilus and Veilonella. Conclusions The diversity and homogeneity was shown in the dental plaque microbiota in healthy Korean pre-school children.

Identification of Haemophilus haemolyticus in clinical samples and characterization of their mechanisms of antimicrobial resistance.

OBJECTIVES: The objectives of this study were to establish the frequency of Haemophilus haemolyticus in clinical samples, to determine the antimicrobial resistance rate and to identify the mechanisms of resistance to ß-lactams and quinolones. METHODS: An updated database was used to differentiate between MALDI-TOF MS results for Haemophilus influenzae and H. haemolyticus. Antimicrobial susceptibility was studied by microdilution, following EUCAST criteria. The ß-lactamase types were identified by PCR analysis of isolates that tested positive for nitrocefin hydrolysis. Mutations in the ftsI gene were identified in isolates with ampicillin MICs ≥0.25 mg/L. Mutations in the quinolone resistance-determining region (QRDR) were identified in isolates with ciprofloxacin MICs ≥0.5 mg/L. RESULTS: Overall, we identified 69 H. haemolyticus isolates from 1706 clinical isolates of Haemophilus spp. from respiratory, genital, invasive, and other infection sources. The frequency of H. haemolyticus was low in respiratory samples compared with that of H. influenzae, but in genital-related samples, the frequency was similar to that of H. influenzae. We found low antimicrobial resistance rates among H. haemolyticus isolates, with 8.7% for ampicillin, 8.7% for co-trimoxazole, 7.2% for tetracycline and 4.3% for ciprofloxacin. Mutations in the ftsI gene classified the isolates into four groups, including the newly described Group Hhae IV, which presents mutations in the ftsI gene not identified in H. influenzae and H. haemolyticus type strains. Three ciprofloxacin-resistant H. haemolyticus isolates with mutations affecting GyrA and ParC were identified. CONCLUSIONS: The frequency of H. haemolyticus was low, especially in respiratory samples, where H. influenzae is the main pathogen of this genus. Although antimicrobial resistance rates were low, three ciprofloxacin-resistant H. haemolyticus clinical isolates have been identified for the first time.