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Direct Real-Time PCR for the Detection and Serotyping of Haemophilus influenzae without DNA Extraction. J Clin Microbiol 2022; 60:e0211121. [PMID: 35306833 DOI: 10.1128/jcm.02111-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
To monitor the burden and changes in Haemophilus influenzae (Hi) disease, direct real-time PCR (drt-PCR) assays have been developed for Hi detection in monoplex form and its six serotypes in triplex form, directly from cerebrospinal fluid (CSF) specimens. These assays target the phoB gene for the species detection (Hi-phoB) and serotype-specific genes in region II of the capsule biosynthesis locus (Hi-abf and Hi-cde), identified through comparative analysis of Hi and non-Hi whole-genome sequences. The lower limit of detection (LLD) is 293 CFU/mL for the Hi-phoB assay and ranged from 11 to 130 CFU/mL for the triplex serotyping assays. Using culture as a reference method, the sensitivity and specificity of Hi-phoB, Hi-abf, and Hi-cde were 100%. Triplex serotyping assays also showed 100% agreement for each serotype compared to their corresponding monoplex serotyping assay. These highly sensitive and specific drt-PCR assays do not require DNA extraction and thereby reduce the time, cost, and handling required to process CSF specimens. Furthermore, triplex drt-PCR assays combine the detection of three serotypes in a single reaction, further improving testing efficiency, which is critical for laboratories that process high volumes of Hi specimens for surveillance and diagnostic purposes.
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Taylor SL, Papanicolas LE, Richards A, Ababor F, Kang WX, Choo JM, Woods C, Wesselingh SL, Ooi EH, MacFarlane P, Rogers GB. Ear microbiota and middle ear disease: a longitudinal pilot study of Aboriginal children in a remote south Australian setting. BMC Microbiol 2022; 22:24. [PMID: 35026986 PMCID: PMC8756658 DOI: 10.1186/s12866-022-02436-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 12/29/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Otitis media (OM) is a major disease burden in Australian Aboriginal children, contributing to serious long-term health outcomes. We report a pilot analysis of OM in children attending an outreach ear and hearing clinic in a remote south Australian community over a two-year period. Our study focuses on longitudinal relationships between ear canal microbiota characteristics with nasopharyngeal microbiota, and clinical and treatment variables. RESULTS Middle ear health status were assessed in 19 children (aged 3 months to 8 years) presenting in remote western South Australia and medical interventions were recorded. Over the two-year study period, chronic suppurative OM was diagnosed at least once in 7 children (37%), acute OM with perforation in 4 children (21%), OM with effusion in 11 children (58%), while only 1 child had no ear disease. Microbiota analysis of 19 children (51 sets of left and right ear canal swabs and nasopharyngeal swabs) revealed a core group of bacterial taxa that included Corynebacterium, Alloiococcus, Staphylococcus, Haemophilus, Turicella, Streptococcus, and Pseudomonas. Within-subject microbiota similarity (between ears) was significantly greater than inter-subject similarity, regardless of differences in ear disease (p = 0.0006). Longitudinal analysis revealed changes in diagnosis to be associated with more pronounced changes in microbiota characteristics, irrespective of time interval. Ear microbiota characteristics differed significantly according to diagnosis (P (perm) = 0.0001). Diagnoses featuring inflammation with tympanic membrane perforation clustering separately to those in which the tympanic membrane was intact, and characterised by increased Proteobacteria, particularly Haemophilus influenzae, Moraxella catarrhalis, and Oligella. While nasopharyngeal microbiota differed significantly in composition to ear microbiota (P (perm) = 0.0001), inter-site similarity was significantly greater in subjects with perforated tympanic membranes, a relationship that was associated with the relative abundance of H. influenzae in ear samples (rs = - 0.71, p = 0.0003). Longitudinal changes in ear microbiology reflected changes in clinical signs and treatment. CONCLUSIONS Children attending the ear and hearing clinic in a remote Aboriginal community present with a broad spectrum of OM conditions and severities, consistent with other remote Aboriginal communities. Ear microbiota characteristics align with OM diagnosis and change with disease course. Nasopharyngeal microbiota characteristics are consistent with the contribution of acute upper respiratory infection to OM aetiology.
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Affiliation(s)
- Steven L Taylor
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
| | - Lito E Papanicolas
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Alyson Richards
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Furdosa Ababor
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Wan Xian Kang
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Jocelyn M Choo
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Charmaine Woods
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Department of Otolaryngology, Head & Neck Surgery, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Steve L Wesselingh
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Eng H Ooi
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Department of Otolaryngology, Head & Neck Surgery, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Patricia MacFarlane
- Department of Otolaryngology, Head & Neck Surgery, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Geraint B Rogers
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
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Taylor SL, Ivey KL, Gibson PG, Simpson JL, Rogers GB. Airway abundance of Haemophilus influenzae predicts response to azithromycin in adults with persistent uncontrolled asthma. Eur Respir J 2020; 56:13993003.00194-2020. [PMID: 32366495 DOI: 10.1183/13993003.00194-2020] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 04/24/2020] [Indexed: 11/05/2022]
Affiliation(s)
- Steven L Taylor
- SAHMRI Microbiome Research Laboratory, Flinders University College of Medicine and Public Health, Adelaide, Australia .,Microbiome and Host Health, South Australia Health and Medical Research Institute, Adelaide, Australia
| | - Kerry L Ivey
- Microbiome and Host Health, South Australia Health and Medical Research Institute, Adelaide, Australia.,Dept of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Dept of Nutrition and Dietetics, College of Nursing and Health Sciences Flinders University, Adelaide, Australia
| | - Peter G Gibson
- Hunter Medical Research Institute, Newcastle, Australia.,Priority Research Centre for Healthy Lungs, The University of Newcastle, Newcastle, Australia
| | - Jodie L Simpson
- Hunter Medical Research Institute, Newcastle, Australia.,Priority Research Centre for Healthy Lungs, The University of Newcastle, Newcastle, Australia.,Joint senior author
| | - Geraint B Rogers
- SAHMRI Microbiome Research Laboratory, Flinders University College of Medicine and Public Health, Adelaide, Australia.,Microbiome and Host Health, South Australia Health and Medical Research Institute, Adelaide, Australia.,Joint senior author
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Osman KL, Jefferies JMC, Woelk CH, Devos N, Pascal TG, Mortier MC, Devaster JM, Wilkinson TMA, Cleary DW, Clarke SC. Patients with Chronic Obstructive Pulmonary Disease harbour a variation of Haemophilus species. Sci Rep 2018; 8:14734. [PMID: 30282975 PMCID: PMC6170463 DOI: 10.1038/s41598-018-32973-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 09/19/2018] [Indexed: 02/04/2023] Open
Abstract
H. haemolyticus is often misidentified as NTHi due to their close phylogenetic relationship. Differentiating between the two is important for correct identification and appropriate treatment of infective organism and to ensure any role of H. haemolyticus in disease is not being overlooked. Speciation however is not completely reliable by culture and PCR methods due to the loss of haemolysis by H. haemolyticus and the heterogeneity of NTHi. Haemophilus isolates from COPD as part of the AERIS study (ClinicalTrials - NCT01360398) were speciated by analysing sequence data for the presence of molecular markers. Further investigation into the genomic relationship was carried out using average nucleotide identity and phylogeny of allelic and genome alignments. Only 6.3% were identified as H. haemolyticus. Multiple in silico methods were able to distinguish H. haemolyticus from NTHi. However, no single gene target was found to be 100% accurate. A group of omp2 negative NTHi were observed to be phylogenetically divergent from H. haemolyticus and remaining NTHi. The presence of an atypical group from a geographically and disease limited set of isolates supports the theory that the heterogeneity of NTHi may provide a genetic continuum between NTHi and H. haemolyticus.
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Affiliation(s)
- Karen L Osman
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants, SO16 6YD, UK
| | - Johanna M C Jefferies
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants, SO16 6YD, UK
| | - Christopher H Woelk
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants, SO16 6YD, UK.,Merck Exploratory Science Center, Merck Research Laboratories, Cambridge, MA, USA
| | | | | | | | | | - Tom M A Wilkinson
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants, SO16 6YD, UK.,NIHR Southampton Respiratory Biomedical Research Unit, Southampton, United Kingdom.,Wessex Investigational Sciences Hub, University of Southampton, Southampton, United Kingdom
| | - David W Cleary
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants, SO16 6YD, UK.,NIHR Southampton Respiratory Biomedical Research Unit, Southampton, United Kingdom
| | - Stuart C Clarke
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants, SO16 6YD, UK. .,NIHR Biomedical Research Centre, University of Southampton, Southampton, United Kingdom. .,Wessex Investigational Sciences Hub, University of Southampton, Southampton, United Kingdom. .,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom. .,Global Health Research Institute, University of Southampton, Southampton, United Kingdom.
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Taylor SL, Leong LEX, Mobegi FM, Choo JM, Burr LD, Wesselingh S, Rogers GB. Understanding the impact of antibiotic therapies on the respiratory tract resistome: a novel pooled-template metagenomic sequencing strategy. Multidiscip Respir Med 2018; 13:30. [PMID: 30151191 PMCID: PMC6101085 DOI: 10.1186/s40248-018-0140-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Determining the effects of antimicrobial therapies on airway microbiology at a population-level is essential. Such analysis allows, for example, surveillance of antibiotic-induced changes in pathogen prevalence, the emergence and spread of antibiotic resistance, and the transmission of multi-resistant organisms. However, current analytical strategies for understanding these processes are limited. Culture- and PCR-based assays for specific microbes require the a priori selection of targets, while antibiotic sensitivity testing typically provides no insight into either the molecular basis of resistance, or the carriage of resistance determinants by the wider commensal microbiota. Shotgun metagenomic sequencing provides an alternative approach that allows the microbial composition of clinical samples to be described in detail, including the prevalence of resistance genes and virulence traits. While highly informative, the application of metagenomics to large patient cohorts can be prohibitively expensive. Using sputum samples from a randomised placebo-controlled trial of erythromycin in adults with bronchiectasis, we describe a novel, cost-effective strategy for screening patient cohorts for changes in resistance gene prevalence. By combining metagenomic screening of pooled DNA extracts with validatory quantitative PCR-based analysis of candidate markers in individual samples, we identify population-level changes in the relative abundance of specific macrolide resistance genes. This approach has the potential to provide an important adjunct to current analytical strategies, particularly within the context of antimicrobial clinical trials.
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Affiliation(s)
- Steven L Taylor
- 1Infection and Immunity, South Australian Health and Medical Research Institute, Adelaide, South Australia Australia.,2SAHMRI Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Adelaide, South Australia Australia
| | - Lex E X Leong
- 1Infection and Immunity, South Australian Health and Medical Research Institute, Adelaide, South Australia Australia.,2SAHMRI Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Adelaide, South Australia Australia
| | - Fredrick M Mobegi
- 1Infection and Immunity, South Australian Health and Medical Research Institute, Adelaide, South Australia Australia.,2SAHMRI Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Adelaide, South Australia Australia
| | - Jocelyn M Choo
- 1Infection and Immunity, South Australian Health and Medical Research Institute, Adelaide, South Australia Australia.,2SAHMRI Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Adelaide, South Australia Australia
| | - Lucy D Burr
- 3Department of Respiratory Medicine, Mater Health Services, South Brisbane, Queensland, Australia
| | - Steve Wesselingh
- 1Infection and Immunity, South Australian Health and Medical Research Institute, Adelaide, South Australia Australia.,2SAHMRI Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Adelaide, South Australia Australia
| | - Geraint B Rogers
- 1Infection and Immunity, South Australian Health and Medical Research Institute, Adelaide, South Australia Australia.,2SAHMRI Microbiome Research Laboratory, College of Medicine and Public Health, Flinders University, Adelaide, South Australia Australia
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