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Iqbal I, Shahid S, Kanwar S, Kabir F, Umrani F, Ahmed S, Khan W, Qazi MF, Aziz F, Muneer S, Kalam A, Hotwani A, Mehmood J, Qureshi AK, Hasan Z, Shakoor S, Mirza S, McGee L, Lo SW, Kumar N, Azam I, Bentley SD, Jehan F, Nisar MI. Pneumococcal carriage and changes in serotype distribution post- PCV13 introduction in children in Matiari, Pakistan. Vaccine 2024; 42:126238. [PMID: 39168078 PMCID: PMC11413484 DOI: 10.1016/j.vaccine.2024.126238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/30/2024] [Accepted: 08/14/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND In early 2021, the 10-valent Pneumococcal conjugate vaccine (PCV10) was replaced with 13-valent (PCV13) by the federal directorate of immunization (FDI), Pakistan. We assessed the impact of a higher valent vaccine, PCV13, on the serotype distribution of nasopharyngeal carriage in rural Pakistan. METHODS Children <2 years were randomly selected from two rural union councils of Matiari, Sindh in Pakistan between September-October,2022. Clinical, sociodemographic and vaccination histories were recorded. Nasopharyngeal swabs were collected and processed at Infectious Disease Research Laboratory, Aga Khan University, Karachi. Whole genome sequencing was performed on the culture positive isolates. RESULTS Of the 200 children enrolled, pneumococcus was detected in 140(70 %) isolates. Majority of age-eligible children (60.1 %,110/183) received 3 PCV13 doses. PCV10 carriage declined from 13.2 %(78/590) in 2017/18 to 7.2 % (10/140) in 2022, additional PCV13 serotypes (3, 6A/6C and 19A) decreased from 18.5 %(109/590) to 11.4 %(16/140) while non-PCV13 serotypes increased from 68.3 %(403/590) to 81.4 %(114/140). There were 88.5 %(n = 124), 80.7 %(n = 113), 55.0 %(n = 77), and 46.0 %(n = 65) isolates predicted to be resistant to cotrimoxazole, penicillin(meningitis cut-off), tetracycline, and erythromycin respectively. CONCLUSION Replacing PCV10 with PCV13 rapidly decreased prevalence of PCV13 carriage among vaccinated children in Matiari, Pakistan. Vaccine-driven selection pressure may have been responsible for the increase of non-PCV13 serotypes.
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Affiliation(s)
- Izn Iqbal
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Shahira Shahid
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Samiah Kanwar
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Furqan Kabir
- Infectious Diseases Research Laboratory (IDRL), Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Fayaz Umrani
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Sheraz Ahmed
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Waqasuddin Khan
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | | | - Fatima Aziz
- Infectious Diseases Research Laboratory (IDRL), Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Sahrish Muneer
- Infectious Diseases Research Laboratory (IDRL), Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Adil Kalam
- Infectious Diseases Research Laboratory (IDRL), Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Aneeta Hotwani
- Infectious Diseases Research Laboratory (IDRL), Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Junaid Mehmood
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | | | - Zahra Hasan
- Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan
| | - Sadia Shakoor
- Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan
| | - Shaper Mirza
- Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan
| | - Lesley McGee
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Narender Kumar
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Iqbal Azam
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | | | - Fyezah Jehan
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Muhammad Imran Nisar
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
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Pham NP, Gingras H, Godin C, Feng J, Groppi A, Nikolski M, Leprohon P, Ouellette M. Holistic understanding of trimethoprim resistance in Streptococcus pneumoniae using an integrative approach of genome-wide association study, resistance reconstruction, and machine learning. mBio 2024; 15:e0136024. [PMID: 39120145 PMCID: PMC11389379 DOI: 10.1128/mbio.01360-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 07/08/2024] [Indexed: 08/10/2024] Open
Abstract
Antimicrobial resistance (AMR) is a public health threat worldwide. Next-generation sequencing (NGS) has opened unprecedented opportunities to accelerate AMR mechanism discovery and diagnostics. Here, we present an integrative approach to investigate trimethoprim (TMP) resistance in the key pathogen Streptococcus pneumoniae. We explored a collection of 662 S. pneumoniae genomes by conducting a genome-wide association study (GWAS), followed by functional validation using resistance reconstruction experiments, combined with machine learning (ML) approaches to predict TMP minimum inhibitory concentration (MIC). Our study showed that multiple additive mutations in the folA and sulA loci are responsible for TMP non-susceptibility in S. pneumoniae and can be used as key features to build ML models for digital MIC prediction, reaching an average accuracy within ±1 twofold dilution factor of 86.3%. Our roadmap of in silico analysis-wet-lab validation-diagnostic tool building could be adapted to explore AMR in other combinations of bacteria-antibiotic. IMPORTANCE In the age of next-generation sequencing (NGS), while data-driven methods such as genome-wide association study (GWAS) and machine learning (ML) excel at finding patterns, functional validation can be challenging due to the high numbers of candidate variants. We designed an integrative approach combining a GWAS on S. pneumoniae clinical isolates, followed by whole-genome transformation coupled with NGS to functionally characterize a large set of GWAS candidates. Our study validated several phenotypic folA mutations beyond the standard Ile100Leu mutation, and showed that the overexpression of the sulA locus produces trimethoprim (TMP) resistance in Streptococcus pneumoniae. These validated loci, when used to build ML models, were found to be the best inputs for predicting TMP minimal inhibitory concentrations. Integrative approaches can bridge the genotype-phenotype gap by biological insights that can be incorporated in ML models for accurate prediction of drug susceptibility.
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Affiliation(s)
- Nguyen-Phuong Pham
- Centre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
| | - Hélène Gingras
- Centre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
| | - Chantal Godin
- Centre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
| | - Jie Feng
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Alexis Groppi
- Bordeaux Bioinformatics Center and CNRS, Institut de Biochimie et Génétique Cellulaires (IBGC) UMR 5095, Université de Bordeaux, Bordeaux, France
| | - Macha Nikolski
- Bordeaux Bioinformatics Center and CNRS, Institut de Biochimie et Génétique Cellulaires (IBGC) UMR 5095, Université de Bordeaux, Bordeaux, France
| | - Philippe Leprohon
- Centre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
| | - Marc Ouellette
- Centre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
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3
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Belman S, Lefrancq N, Nzenze S, Downs S, du Plessis M, Lo SW, McGee L, Madhi SA, von Gottberg A, Bentley SD, Salje H. Geographical migration and fitness dynamics of Streptococcus pneumoniae. Nature 2024; 631:386-392. [PMID: 38961295 PMCID: PMC11236706 DOI: 10.1038/s41586-024-07626-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 05/30/2024] [Indexed: 07/05/2024]
Abstract
Streptococcus pneumoniae is a leading cause of pneumonia and meningitis worldwide. Many different serotypes co-circulate endemically in any one location1,2. The extent and mechanisms of spread and vaccine-driven changes in fitness and antimicrobial resistance remain largely unquantified. Here using geolocated genome sequences from South Africa (n = 6,910, collected from 2000 to 2014), we developed models to reconstruct spread, pairing detailed human mobility data and genomic data. Separately, we estimated the population-level changes in fitness of strains that are included (vaccine type (VT)) and not included (non-vaccine type (NVT)) in pneumococcal conjugate vaccines, first implemented in South Africa in 2009. Differences in strain fitness between those that are and are not resistant to penicillin were also evaluated. We found that pneumococci only become homogenously mixed across South Africa after 50 years of transmission, with the slow spread driven by the focal nature of human mobility. Furthermore, in the years following vaccine implementation, the relative fitness of NVT compared with VT strains increased (relative risk of 1.68; 95% confidence interval of 1.59-1.77), with an increasing proportion of these NVT strains becoming resistant to penicillin. Our findings point to highly entrenched, slow transmission and indicate that initial vaccine-linked decreases in antimicrobial resistance may be transient.
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Affiliation(s)
- Sophie Belman
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK.
- Department of Genetics, University of Cambridge, Cambridge, UK.
- Global Health Resilience, Earth Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.
| | - Noémie Lefrancq
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Susan Nzenze
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sarah Downs
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mignon du Plessis
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK
| | - Lesley McGee
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Shabir A Madhi
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- Division of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | | | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, UK
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Hu K, Meyer F, Deng ZL, Asgari E, Kuo TH, Münch PC, McHardy AC. Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes. Brief Bioinform 2024; 25:bbae206. [PMID: 38706320 PMCID: PMC11070729 DOI: 10.1093/bib/bbae206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 05/07/2024] Open
Abstract
The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still needed. Here, we evaluated four state-of-the-art ML methods (Kover, PhenotypeSeeker, Seq2Geno2Pheno and Aytan-Aktug), an ML baseline and the rule-based ResFinder by training and testing each of them across 78 species-antibiotic datasets, using a rigorous benchmarking workflow that integrates three evaluation approaches, each paired with three distinct sample splitting methods. Our analysis revealed considerable variation in the performance across techniques and datasets. Whereas ML methods generally excelled for closely related strains, ResFinder excelled for handling divergent genomes. Overall, Kover most frequently ranked top among the ML approaches, followed by PhenotypeSeeker and Seq2Geno2Pheno. AMR phenotypes for antibiotic classes such as macrolides and sulfonamides were predicted with the highest accuracies. The quality of predictions varied substantially across species-antibiotic combinations, particularly for beta-lactams; across species, resistance phenotyping of the beta-lactams compound, aztreonam, amoxicillin/clavulanic acid, cefoxitin, ceftazidime and piperacillin/tazobactam, alongside tetracyclines demonstrated more variable performance than the other benchmarked antibiotics. By organism, Campylobacter jejuni and Enterococcus faecium phenotypes were more robustly predicted than those of Escherichia coli, Staphylococcus aureus, Salmonella enterica, Neisseria gonorrhoeae, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Streptococcus pneumoniae and Mycobacterium tuberculosis. In addition, our study provides software recommendations for each species-antibiotic combination. It furthermore highlights the need for optimization for robust clinical applications, particularly for strains that diverge substantially from those used for training.
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Affiliation(s)
- Kaixin Hu
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Fernando Meyer
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Zhi-Luo Deng
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Ehsaneddin Asgari
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Molecular Cell Biomechanics Laboratory, Department of Bioengineering and Mechanical Engineering, University of California, Berkeley, USA
| | - Tzu-Hao Kuo
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Philipp C Münch
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner site Hannover Braunschweig, Braunschweig, Germany
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Alice C McHardy
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
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5
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Dao TH, Echlin H, McKnight A, Marr ES, Junker J, Jia Q, Hayden R, van Opijnen T, Isberg RR, Cooper VS, Rosch JW. Streptococcus pneumoniae favors tolerance via metabolic adaptation over resistance to circumvent fluoroquinolones. mBio 2024; 15:e0282823. [PMID: 38193698 PMCID: PMC10865975 DOI: 10.1128/mbio.02828-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 12/01/2023] [Indexed: 01/10/2024] Open
Abstract
Streptococcus pneumoniae is a major human pathogen of global health concern and the rapid emergence of antibiotic resistance poses a serious public health problem worldwide. Fluoroquinolone resistance in S. pneumoniae is an intriguing case because the prevalence of fluoroquinolone resistance does not correlate with increasing usage and has remained rare. Our data indicate that deleterious fitness costs in the mammalian host constrain the emergence of fluoroquinolone resistance both by de novo mutation and recombination. S. pneumoniae was able to circumvent such deleterious fitness costs via the development of antibiotic tolerance through metabolic adaptation that reduced the production of reactive oxygen species, resulting in a fitness benefit during infection of mice treated with fluoroquinolones. These data suggest that the emergence of fluoroquinolone resistance is tightly constrained in S. pneumoniae by fitness tradeoffs and that mutational pathways involving metabolic networks to enable tolerance phenotypes are an important contributor to the evasion of antibiotic-mediated killing.IMPORTANCEThe increasing prevalence of antibiotic resistant bacteria is a major global health concern. While many species have the potential to develop antibiotic resistance, understanding the barriers to resistance emergence in the clinic remains poorly understood. A prime example of this is fluroquinolone resistance in Streptococcus pneumoniae, whereby, despite continued utilization, resistance to this class of antibiotic remains rare. In this study, we found that the predominant pathways for developing resistance to this antibiotic class severely compromised the infectious capacity of the pneumococcus, providing a key impediment for the emergence of resistance. Using in vivo models of experimental evolution, we found that S. pneumoniae responds to repeated fluoroquinolone exposure by modulating key metabolic pathways involved in the generation of redox molecules, which leads to antibiotic treatment failure in the absence of appreciable shifts in resistance levels. These data underscore the complex pathways available to pathogens to evade antibiotic mediating killing via antibiotic tolerance.
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Affiliation(s)
- Tina H. Dao
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Haley Echlin
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Abigail McKnight
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Enolia S. Marr
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Julia Junker
- Nationales Referenzzentrum für Streptokokken Abteilung Medizinische Mikrobiologie, Universitätsklinikum RWTH Aachen, Aachen, Germany
| | - Qidong Jia
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Randall Hayden
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Tim van Opijnen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Ralph R. Isberg
- Deptartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Vaughn S. Cooper
- Center for Evolutionary Biology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jason W. Rosch
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
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Javaid N, Lo SW, Nisar MI, Basharat A, Jaleel H, Rasool K, Sultana Q, Kabir F, Hotwani A, Breiman RF, Bentley SD, Shakoor S, Mirza S. Strain features of pneumococcal isolates in the pre- and post-PCV10 era in Pakistan. Microb Genom 2024; 10:001163. [PMID: 38270581 PMCID: PMC10868622 DOI: 10.1099/mgen.0.001163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/06/2023] [Indexed: 01/26/2024] Open
Abstract
Pakistan is amongst the four countries with the highest number of pneumococcal deaths. While the PCV10 vaccine was introduced in Pakistan in October 2012, data regarding the impact of the vaccine on the population dynamics of Streptococcus pneumoniae in Pakistan remain obscure. Using whole genome sequencing of 190 isolates (nasopharyngeal carriage=75, disease=113, unknown sites=2) collected between 2002 and 2020, this study presents characteristics of pneumococcal strains in Pakistan in the pre- and post-vaccine era. The isolates were characterized on the basis of serotype distribution, genetic lineages (or Global Pneumococcal Sequence Cluster, GPSC) and antibiotic resistance. A high level of diversity in serotype and genetic lineages of pneumococci was observed in Pakistan. Among 190 isolates, we identified 54 serotypes, 67 GPSCs and 116 sequence types (STs) including 23 new STs. The most prevalent GPSCs and their associated serotypes in nasopharyngeal carriage were GPSC54 (expressing serotype 9V), GPSC5 (15A and 7B, and serogroup 24), GPSC25 (15B/15C), GPSC67 (18C) and GPSC376 (6A and 6D). Similarly, among 113 disease-causing isolates, the most prevalent GPSC/serotype combinations were GPSC2 (serotype 1), GPSC10 (serotypes 14, 10A, 19A and 19F), GPSC43 (serotypes 13, 11A, 23B, 35A and 9V), GPSC67 (serotypes 18A and 18C) and GPSC642 (serotype 11A). Of the 190 isolates, the highest levels of resistance were observed against penicillin (58.9 %, n=122), erythromycin (29.5 %, n=56), clindamycin (13.2 %, n=25), co-trimoxazole (94.2 %, n=179) and tetracycline/doxycycline (53.2 %, n=101). A higher proportion of disease-causing isolates were multidrug resistant as compared to carriage isolates (54 % vs 25 %). Our data suggest limited coverage of PCV10 in nasopharyngeal (21.6 %, 16/74) as well as disease-causing (38.1 %, 16/42) isolates among children ≤5 years old; however, higher valent vaccine PCV13 would increase the coverage rates to 33.8 % in nasopharyngeal and 54.8 % in disease-causing isolates, whereas PCV24/25 would offer the highest coverage rates. Owing to the diversity of serotypes observed during the post-vaccine period, the suggested inclusion of serotype in future vaccine formulations will require investigations with larger data sets with an extended temporal window. This article contains data hosted by Microreact.
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Affiliation(s)
- Nida Javaid
- Department of Life Sciences, School of Science and Engineering, Lahore University of Management Science, Lahore, Pakistan
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Stephanie W. Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
- Milner Centre for Evolution, Department of Life Science, University of Bath, Bath, UK
| | - Muhammad Imran Nisar
- Departments of Pathology, Pediatrics, and Medicine, Aga Khan University, Karachi, Pakistan
| | - Asma Basharat
- Department of Life Sciences, School of Science and Engineering, Lahore University of Management Science, Lahore, Pakistan
| | - Hadiqa Jaleel
- Department of Life Sciences, School of Science and Engineering, Lahore University of Management Science, Lahore, Pakistan
| | - Karam Rasool
- Department of Microbiology, Chughtai Lab/Chughtai Institute of Pathology, Lahore, Pakistan
| | - Qamar Sultana
- Department of Microbiology, Chughtai Lab/Chughtai Institute of Pathology, Lahore, Pakistan
| | - Furqan Kabir
- Infectious Diseases Research Laboratory (IDRL), Dept. of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan
| | - Aneeta Hotwani
- Departments of Pathology, Pediatrics, and Medicine, Aga Khan University, Karachi, Pakistan
| | - Robert F. Breiman
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Sadia Shakoor
- Departments of Pathology, Pediatrics, and Medicine, Aga Khan University, Karachi, Pakistan
| | - Shaper Mirza
- Department of Life Sciences, School of Science and Engineering, Lahore University of Management Science, Lahore, Pakistan
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7
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Obolski U, Swarthout TD, Kalizang'oma A, Mwalukomo TS, Chan JM, Weight CM, Brown C, Cave R, Cornick J, Kamng'ona AW, Msefula J, Ercoli G, Brown JS, Lourenço J, Maiden MC, French N, Gupta S, Heyderman RS. The metabolic, virulence and antimicrobial resistance profiles of colonising Streptococcus pneumoniae shift after PCV13 introduction in urban Malawi. Nat Commun 2023; 14:7477. [PMID: 37978177 PMCID: PMC10656543 DOI: 10.1038/s41467-023-43160-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/02/2023] [Indexed: 11/19/2023] Open
Abstract
Streptococcus pneumoniae causes substantial mortality among children under 5-years-old worldwide. Polysaccharide conjugate vaccines (PCVs) are highly effective at reducing vaccine serotype disease, but emergence of non-vaccine serotypes and persistent nasopharyngeal carriage threaten this success. We investigated the hypothesis that following vaccine, adapted pneumococcal genotypes emerge with the potential for vaccine escape. We genome sequenced 2804 penumococcal isolates, collected 4-8 years after introduction of PCV13 in Blantyre, Malawi. We developed a pipeline to cluster the pneumococcal population based on metabolic core genes into "Metabolic genotypes" (MTs). We show that S. pneumoniae population genetics are characterised by emergence of MTs with distinct virulence and antimicrobial resistance (AMR) profiles. Preliminary in vitro and murine experiments revealed that representative isolates from emerging MTs differed in growth, haemolytic, epithelial infection, and murine colonisation characteristics. Our results suggest that in the context of PCV13 introduction, pneumococcal population dynamics had shifted, a phenomenon that could further undermine vaccine control and promote spread of AMR.
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Affiliation(s)
- Uri Obolski
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
- Porter School of the Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
| | - Todd D Swarthout
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, United Kingdom
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Akuzike Kalizang'oma
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, United Kingdom
| | | | - Jia Mun Chan
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, United Kingdom
| | - Caroline M Weight
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, United Kingdom
- Faculty of Health and Medicine, Biomedical and Life Sciences, Lancaster University, Lancaster, United Kingdom
- Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom
| | - Comfort Brown
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
| | - Rory Cave
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, United Kingdom
| | - Jen Cornick
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
- Clinical Infection, Microbiology and Immunology, Institute of Infection Veterinary & Ecological Science, University of Liverpool, Liverpool, United Kingdom
| | | | | | - Giuseppe Ercoli
- UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
| | - Jeremy S Brown
- UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
| | - José Lourenço
- Department of Zoology, University of Oxford, Oxford, United Kingdom
- Universidade Católica Portuguesa, Faculty of Medicine, Biomedical Research Centre, Lisbon, Portugal
| | - Martin C Maiden
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Neil French
- Clinical Infection, Microbiology and Immunology, Institute of Infection Veterinary & Ecological Science, University of Liverpool, Liverpool, United Kingdom
| | - Sunetra Gupta
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Robert S Heyderman
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi.
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, United Kingdom.
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8
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Lo SW, Hawkins PA, Jibir B, Hassan-Hanga F, Gambo M, Olaosebikan R, Olanipekun G, Munir H, Kocmich N, Rezac-Elgohary A, Gambo S, Bagenda D, Fey P, Breiman RF, McGee L, Bentley SD, Obaro SK. Molecular characterization of Streptococcus pneumoniae causing disease among children in Nigeria during the introduction of PCV10 (GSK). Microb Genom 2023; 9:001094. [PMID: 37712828 PMCID: PMC10569732 DOI: 10.1099/mgen.0.001094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/03/2023] [Indexed: 09/16/2023] Open
Abstract
Streptococcus pneumoniae (pneumococcus) is a leading vaccine-preventable cause of childhood invasive disease. Nigeria has the second highest pneumococcal disease burden globally, with an estimated ~49 000 child deaths caused by pneumococcal infections each year. Ten-valent pneumococcal conjugate vaccine (GSK; PCV10) was introduced in December 2014 in a phased approach. However, few studies have characterized the disease-causing pneumococci from Nigeria. This study assessed the prevalence of serotypes, antibiotic susceptibility and genomic lineages using whole genome sequencing and identified lineages that could potentially escape PCV10 (GSK). We also investigated the potential differences in pneumococcal lineage features between children with and without sickle cell disease. A collection of 192 disease-causing pneumococcal isolates was obtained from Kano (n=189) and Abuja (n=3) states, Nigeria, between 1 January 2014 and 31 May 2018. The majority (99 %, 190/192) of specimens were recovered from children aged 5 years or under. Among them, 37 children had confirmed or traits of sickle cell disease. Our findings identified 25 serotypes expressed by 43 Global Pneumococcal Sequence Clusters (GPSCs) and 85 sequence types (STs). The most common serotypes were 14 (18 %, n=35), 6B (16 %, n=31), 1 (9 %, n=17), 5 (9 %, n=17) and 6A (9 %, n=17); all except serotype 6A are included in PCV10 (GSK). PCV10 (SII; PNEUMOSIL) and PCV13 formulations include serotypes 6A and 19A which would increase the overall coverage from 67 % by PCV10 (GSK) to 78 and 82 %, respectively. The pneumococcal lineages were a mix of globally spreading and unique local lineages. Following the use of PCV10 (GSK), GPSC5 expressing serotype 6A, GPSC10 (19A), GPSC26 (12F and 46) and GPSC627 (9L) are non-vaccine type lineages that could persist and potentially expand under vaccine-selective pressure. Approximately half (52 %, 99/192) of the pneumococcal isolates were resistant to the first-line antibiotic penicillin and 44 % (85/192) were multidrug-resistant. Erythromycin resistance was very low (2 %, 3/192). There was no significant difference in clinical manifestation, serotype prevalence or antibiotic resistance between children with and without traits of or confirmed sickle cell disease. In summary, our findings show that a high percentage of the pneumococcal disease were caused by the serotypes that are covered by currently available vaccines. Given the low prevalence of resistance, macrolide antibiotics, such as erythromycin, should be considered as an option to treat pneumococcal disease in Nigeria. However, appropriate use of macrolide antibiotics should be vigilantly monitored to prevent the potential increase in macrolide resistance.
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Affiliation(s)
- Stephanie W. Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | | | - Binta Jibir
- Hasiya Bayero Pediatric Hospital, Kano, Nigeria
| | | | | | - Rasaq Olaosebikan
- Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, USA
| | - Grace Olanipekun
- International Foundation against Infectious Diseases in Nigeria, Abuja, Nigeria
| | - Huda Munir
- Aminu Kano Teaching Hospital, Kano, Nigeria
| | - Nicholas Kocmich
- Division of Pediatric Infectious Disease, University of Nebraska Medical Center, Omaha, NE, USA
| | - Amy Rezac-Elgohary
- Division of Pediatric Infectious Disease, University of Nebraska Medical Center, Omaha, NE, USA
| | - Safiya Gambo
- Murtala Muhammad Specialist Hospital, Kano, Nigeria
| | - Danstan Bagenda
- Department of Anesthesiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Paul Fey
- University of Nebraska Medical Center, Department of Pathology and Microbiology, Omaha, Nebraska, USA
| | - Robert F. Breiman
- Emory Global Health Institute, Emory University, Atlanta, GA, USA
- Rollins School Public Health, Emory University, Atlanta, GA, USA
| | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Stephen K. Obaro
- Aminu Kano Teaching Hospital, Kano, Nigeria
- International Foundation against Infectious Diseases in Nigeria, Abuja, Nigeria
- Division of Pediatric Infectious Disease, University of Nebraska Medical Center, Omaha, NE, USA
- University of Nebraska Medical Center, Department of Pathology and Microbiology, Omaha, Nebraska, USA
- Pediatric - Infectious Disease, School of Medicine, The University of Alabama, Birmingham, AL, USA
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9
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Hawkins PA, Chochua S, Lo SW, Belman S, Antonio M, Kwambana-Adams B, von Gottberg A, du Plessis M, Cornick J, Beall B, Breiman RF, Bentley SD, McGee L. A global genomic perspective on the multidrug-resistant Streptococcus pneumoniae 15A-CC63 sub-lineage following pneumococcal conjugate vaccine introduction. Microb Genom 2023; 9. [PMID: 37083600 DOI: 10.1099/mgen.0.000998] [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: 04/22/2023] Open
Abstract
The introduction of pneumococcal conjugate vaccines (PCV7, PCV10, PCV13) around the world has proved successful in preventing invasive pneumococcal disease. However, immunization against Streptococcus pneumoniae has led to serotype replacement by non-vaccine serotypes, including serotype 15A. Clonal complex 63 (CC63) is associated with many serotypes and has been reported in association with 15A after introduction of PCVs. A total of 865 CC63 isolates were included in this study, from the USA (n=391) and a global collection (n=474) from 1998-2019 and 1995-2018, respectively. We analysed the genomic sequences to identify serotypes and penicillin-binding protein (PBP) genes 1A, 2B and 2X, and other resistance determinants, to predict minimum inhibitory concentrations (MICs) against penicillin, erythromycin, clindamycin, co-trimoxazole and tetracycline. We conducted phylogenetic and spatiotemporal analyses to understand the evolutionary history of the 15A-CC63 sub-lineage. Overall, most (89.5 %, n=247) pre-PCV isolates in the CC63 cluster belonged to serotype 14, with 15A representing 6.5 % of isolates. Conversely, serotype 14 isolates represented 28.2 % of post-PCV CC63 isolates (n=618), whilst serotype 15A isolates represented 65.4 %. Dating of the CC63 lineage determined the most recent common ancestor emerged in the 1980s, suggesting the 15A-CC63 sub-lineage emerged from its closest serotype 14 ancestor prior to the development of pneumococcal vaccines. This sub-lineage was predominant in the USA, Israel and China. Multidrug resistance (to three or more drug classes) was widespread among isolates in this sub-lineage. We show that the CC63 lineage is globally distributed and most of the isolates are penicillin non-susceptible, and thus should be monitored.
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Affiliation(s)
- Paulina A Hawkins
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sopio Chochua
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Sophie Belman
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Martin Antonio
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Brenda Kwambana-Adams
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Anne von Gottberg
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Mignon du Plessis
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Jen Cornick
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
| | - Bernard Beall
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert F Breiman
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stephen D Bentley
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Lesley McGee
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
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10
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Lohsen S, Stephens DS. Inducible Mega-Mediated Macrolide Resistance Confers Heteroresistance in Streptococcus pneumoniae. Antimicrob Agents Chemother 2023; 67:e0131922. [PMID: 36847556 PMCID: PMC10019249 DOI: 10.1128/aac.01319-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
In Streptococcus pneumoniae (Spn), the 5.4 to 5.5 kb Macrolide Genetic Assembly (Mega) encodes an efflux pump (Mef[E]) and a ribosomal protection protein (Mel) conferring antibiotic resistance to commonly used macrolides in clinical isolates. We found the macrolide-inducible Mega operon provides heteroresistance (more than 8-fold range in MICs) to 14- and 15-membered ring macrolides. Heteroresistance is commonly missed during traditional clinical resistance screens but is highly concerning as resistant subpopulations can persist despite treatment. Spn strains containing the Mega element were screened via Etesting and population analysis profiling (PAP). All Mega-containing Spn strains screened displayed heteroresistance by PAP. The heteroresistance phenotype was linked to the mRNA expression of the mef(E)/mel operon of the Mega element. Macrolide induction uniformly increased Mega operon mRNA expression across the population, and heteroresistance was eliminated. A deletion of the 5' regulatory region of the Mega operon results in a mutant deficient in induction as well as in heteroresistance. The mef(E)L leader peptide sequence of the 5' regulatory region was required for induction and heteroresistance. Treatment with a noninducing 16-membered ring macrolide antibiotic did not induce the mef(E)/mel operon or eliminate the heteroresistance phenotype. Thus, inducibility of the Mega element by 14- and 15-membered macrolides and heteroresistance are linked in Spn. The stochastic variation in mef(E)/mel expression in a Spn population containing Mega provides the basis for heteroresistance.
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Affiliation(s)
- Sarah Lohsen
- Departments of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David S. Stephens
- Departments of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Departments of Microbiology and Immunology, Emory University School of Medicine, Atlanta, Georgia, USA
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11
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Belman S, Lefrancq N, Nzenze S, Downs S, du Plessis M, Lo S, McGee L, Madhi SA, von Gottberg A, Bentley SD, Salje H. Geographic migration and vaccine-induced fitness changes of Streptococcus pneumoniae. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.18.524577. [PMID: 36711799 PMCID: PMC9882368 DOI: 10.1101/2023.01.18.524577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Streptococcus pneumoniae is a leading cause of pneumonia and meningitis worldwide. Many different serotypes co-circulate endemically in any one location. The extent and mechanisms of spread, and vaccine-driven changes in fitness and antimicrobial resistance (AMR), remain largely unquantified. Using geolocated genome sequences from South Africa (N=6910, 2000-2014) we developed models to reconstruct spread, pairing detailed human mobility data and genomic data. Separately we estimated the population level changes in fitness of strains that are (vaccine type, VT) and are not (non-vaccine type, NVT) included in the vaccine, first implemented in 2009, as well as differences in strain fitness between those that are and are not resistant to penicillin. We estimated that pneumococci only become homogenously mixed across South Africa after about 50 years of transmission, with the slow spread driven by the focal nature of human mobility. Further, in the years following vaccine implementation the relative fitness of NVT compared to VT strains increased (RR: 1.29 [95% CI 1.20-1.37]) - with an increasing proportion of these NVT strains becoming penicillin resistant. Our findings point to highly entrenched, slow transmission and indicate that initial vaccine-linked decreases in AMR may be transient.
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Affiliation(s)
- Sophie Belman
- Parasites and Microbes, Wellcome Sanger Institute; Hinxton, UK
- Department of Genetics, University of Cambridge; Cambridge, UK
| | - Noémie Lefrancq
- Department of Genetics, University of Cambridge; Cambridge, UK
| | - Susan Nzenze
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases of the National Health Laboratory Service; Johannesburg, South Africa
| | - Sarah Downs
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mignon du Plessis
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service; Johannesburg, South Africa
| | - Stephanie Lo
- Parasites and Microbes, Wellcome Sanger Institute; Hinxton, UK
| | | | - Lesley McGee
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Shabir A. Madhi
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service; Johannesburg, South Africa
| | | | - Henrik Salje
- Department of Genetics, University of Cambridge; Cambridge, UK
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12
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Eriksen HB, Fuursted K, Jensen A, Jensen CS, Nielsen X, Christensen JJ, Shewmaker P, Rebelo AR, Aarestrup FM, Schønning K, Slotved HC. Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci. Front Microbiol 2023; 14:1120023. [PMID: 36937294 PMCID: PMC10018206 DOI: 10.3389/fmicb.2023.1120023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction For Streptococcus pneumoniae, β-lactam susceptibility can be predicted from the amino acid sequence of the penicillin-binding proteins PBP1a, PBP2b, and PBP2x. The combination of PBP-subtypes provides a PBP-profile, which correlates to a phenotypic minimal inhibitory concentration (MIC). The non-S. pneumoniae Mitis-group streptococci (MGS) have similar PBPs and exchange pbp-alleles with S. pneumoniae. We studied whether a simple BLAST analysis could be used to predict phenotypic susceptibility in Danish S. pneumoniae isolates and in internationally collected MGS. Method Isolates with available WGS and phenotypic susceptibility data were included. For each isolate, the best matching PBP-profile was identified by BLAST analysis. The corresponding MICs for penicillin and ceftriaxone was retrieved. Category agreement (CA), minor-, major-, and very major discrepancy was calculated. Genotypic-phenotypic accuracy was examined with Deming regression. Results Among 88 S. pneumoniae isolates, 55 isolates had a recognized PBP-profile, and CA was 100% for penicillin and 98.2% for ceftriaxone. In 33 S. pneumoniae isolates with a new PBP-profile, CA was 90.9% (penicillin) and 93.8% (ceftriaxone) using the nearest recognized PBP-profile. Applying the S. pneumoniae database to non-S. pneumoniae MGS revealed that none had a recognized PBP-profile. For Streptococcus pseudopneumoniae, CA was 100% for penicillin and ceftriaxone in 19 susceptible isolates. In 33 Streptococcus mitis isolates, CA was 75.8% (penicillin) and 86.2% (ceftriaxone) and in 25 Streptococcus oralis isolates CA was 8% (penicillin) and 100% (ceftriaxone). Conclusion Using a simple BLAST analysis, genotypic susceptibility prediction was accurate in Danish S. pneumoniae isolates, particularly in isolates with recognized PBP-profiles. Susceptibility was poorly predicted in other MGS using the current database.
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Affiliation(s)
- Helle Brander Eriksen
- Department of Clinical Microbiology, Herlev and Gentofte Hospital, Herlev, Denmark
- *Correspondence: Helle Brander Eriksen,
| | - Kurt Fuursted
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Jensen
- Department of Clinical Microbiology, Sygehus Lillebælt, Vejle, Denmark
| | | | - Xiaohui Nielsen
- The Regional Department of Clinical Microbiology, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jens Jørgen Christensen
- The Regional Department of Clinical Microbiology, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Ana Rita Rebelo
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Frank Møller Aarestrup
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Kristian Schønning
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
| | - Hans-Christian Slotved
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
- Hans-Christian Slotved,
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13
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Berbel D, González-Díaz A, López de Egea G, Càmara J, Ardanuy C. An Overview of Macrolide Resistance in Streptococci: Prevalence, Mobile Elements and Dynamics. Microorganisms 2022; 10:2316. [PMID: 36557569 PMCID: PMC9783990 DOI: 10.3390/microorganisms10122316] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/11/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022] Open
Abstract
Streptococcal infections are usually treated with beta-lactam antibiotics, but, in case of allergic patients or reduced antibiotic susceptibility, macrolides and fluoroquinolones are the main alternatives. This work focuses on studying macrolide resistance rates, genetic associated determinants and antibiotic consumption data in Spain, Europe and also on a global scale. Macrolide resistance (MR) determinants, such as ribosomal methylases (erm(B), erm(TR), erm(T)) or active antibiotic efflux pumps and ribosomal protectors (mef(A/E)-mrs(D)), are differently distributed worldwide and associated with different clonal lineages and mobile genetic elements. MR rates vary together depending on clonal dynamics and on antibiotic consumption applying selective pressure. Among Streptococcus, higher MR rates are found in the viridans group, Streptococcus pneumoniae and Streptococcus agalactiae, and lower MR rates are described in Streptococcus pyogenes. When considering different geographic areas, higher resistance rates are usually found in East-Asian countries and milder or lower in the US and Europe. Unfortunately, the availability of data varies also between countries; it is scarce in low- and middle- income countries from Africa and South America. Thus, surveillance studies of macrolide resistance rates and the resistance determinants involved should be promoted to complete global knowledge among macrolide resistance dynamics.
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Affiliation(s)
- Dàmaris Berbel
- Microbiology Department, Hospital Universitari de Bellvitge, IDIBELL-UB, 08907 Barcelona, Spain
- Research Network for Respiratory Diseases (CIBERES), ISCIII, 28020 Madrid, Spain
| | - Aida González-Díaz
- Microbiology Department, Hospital Universitari de Bellvitge, IDIBELL-UB, 08907 Barcelona, Spain
- Research Network for Respiratory Diseases (CIBERES), ISCIII, 28020 Madrid, Spain
| | - Guillem López de Egea
- Microbiology Department, Hospital Universitari de Bellvitge, IDIBELL-UB, 08907 Barcelona, Spain
- Research Network for Respiratory Diseases (CIBERES), ISCIII, 28020 Madrid, Spain
| | - Jordi Càmara
- Microbiology Department, Hospital Universitari de Bellvitge, IDIBELL-UB, 08907 Barcelona, Spain
- Research Network for Respiratory Diseases (CIBERES), ISCIII, 28020 Madrid, Spain
| | - Carmen Ardanuy
- Microbiology Department, Hospital Universitari de Bellvitge, IDIBELL-UB, 08907 Barcelona, Spain
- Research Network for Respiratory Diseases (CIBERES), ISCIII, 28020 Madrid, Spain
- Department of Pathology and Experimental Therapeutics, School of Medicine, University of Barcelona, 08007 Barcelona, Spain
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14
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Lo SW, Mellor K, Cohen R, Alonso AR, Belman S, Kumar N, Hawkins PA, Gladstone RA, von Gottberg A, Veeraraghavan B, Ravikumar KL, Kandasamy R, Pollard SAJ, Saha SK, Bigogo G, Antonio M, Kwambana-Adams B, Mirza S, Shakoor S, Nisar I, Cornick JE, Lehmann D, Ford RL, Sigauque B, Turner P, Moïsi J, Obaro SK, Dagan R, Diawara I, Skoczyńska A, Wang H, Carter PE, Klugman KP, Rodgers G, Breiman RF, McGee L, Bentley SD, Almagro CM, Varon E, Corso A, Davydov A, Maguire A, Kiran A, Moiane B, Beall B, Zhao C, Aanensen D, Everett D, Faccone D, Foster-Nyarko E, Bojang E, Egorova E, Voropaeva E, Sampane-Donkor E, Sadowy E, Nagaraj G, Mucavele H, Belabbès H, Elmdaghri N, Verani J, Keenan J, Lees J, N Nair Thulasee Bhai J, Ndlangisa K, Zerouali K, Bentley L, Titov L, De Gouveia L, Alaerts M, Ip M, de Cunto Brandileone MC, Hasanuzzaman M, Paragi M, Nurse-Lucas M, du Plessis M, Ali M, Croucher N, Wolter N, Givon-Lavi N, Porat N, Köseoglu Eser Ö, Ho PL, Eberechi Akpaka P, Gagetti P, Tientcheu PE, Law P, Benisty R, Mostowy R, Malaker R, Grassi Almeida SC, Doiphode S, Madhi S, Devi Sekaran S, Clarke S, Srifuengfung S, Nzenze S, Kastrin T, Ochoa T, Hryniewicz W, Urban Y. Emergence of a multidrug-resistant and virulent Streptococcus pneumoniae lineage mediates serotype replacement after PCV13: an international whole-genome sequencing study. THE LANCET. MICROBE 2022; 3:e735-e743. [PMID: 35985351 PMCID: PMC9519462 DOI: 10.1016/s2666-5247(22)00158-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 06/01/2022] [Accepted: 06/01/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Serotype 24F is one of the emerging pneumococcal serotypes after the introduction of pneumococcal conjugate vaccine (PCV). We aimed to identify lineages driving the increase of serotype 24F in France and place these findings into a global context. METHODS Whole-genome sequencing was performed on a collection of serotype 24F pneumococci from asymptomatic colonisation (n=229) and invasive disease (n=190) isolates among individuals younger than 18 years in France, from 2003 to 2018. To provide a global context, we included an additional collection of 24F isolates in the Global Pneumococcal Sequencing (GPS) project database for analysis. A Global Pneumococcal Sequence Cluster (GPSC) and a clonal complex (CC) were assigned to each genome. Phylogenetic, evolutionary, and spatiotemporal analysis were conducted using the same 24F collection and supplemented with a global collection of genomes belonging to the lineage of interest from the GPS project database (n=25 590). FINDINGS Serotype 24F was identified in numerous countries mainly due to the clonal spread of three lineages: GPSC10 (CC230), GPSC16 (CC156), and GPSC206 (CC7701). GPSC10 was the only multidrug-resistant lineage. GPSC10 drove the increase in 24F in France and had high invasive disease potential. The international dataset of GPSC10 (n=888) revealed that this lineage expressed 16 other serotypes, with only six included in 13-valent PCV (PCV13). All serotype 24F isolates were clustered in a single clade within the GPSC10 phylogeny and long-range transmissions were detected from Europe to other continents. Spatiotemporal analysis showed GPSC10-24F took 3-5 years to spread across France and a rapid change of serotype composition from PCV13 serotype 19A to 24F during the introduction of PCV13 was observed in neighbouring country Spain. INTERPRETATION Our work reveals that GPSC10 alone is a challenge for serotype-based vaccine strategy. More systematic investigation to identify lineages like GPSC10 will better inform and improve next-generation preventive strategies against pneumococcal diseases. FUNDING Bill & Melinda Gates Foundation, Wellcome Sanger Institute, and the US Centers for Disease Control and Prevention.
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Affiliation(s)
- Stephanie W Lo
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK,Correspondence to: Dr Stephanie W Lo, Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kate Mellor
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Robert Cohen
- ACTIV, Association Clinique et Thérapeutique Infantile du Val-de-Marne, Saint Maur-des-Fossés, France,GPIP, Groupe de Pathologie Infectieuse Pédiatrique, Paris, France,AFPA, Association Française de Pédiatrie Ambulatoire, Saint-Germain-en-Laye, France,Université Paris Est, IMRB-GRC GEMINI, Créteil, France,Clinical Research Center, Centre Hospitalier Intercommunal de Créteil, Créteil, France,Unité Court Séjour, Petits nourrissons, Service de Néonatalogie, Centre Hospitalier Intercommunal de Créteil, Créteil, France
| | - Alba Redin Alonso
- Department of RDI Microbiology, Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain,School of Medicine, Universitat Internacional de Catalunya, Barcelona, Spain,Spanish Network of Epidemiology and Public Health, CIBERESP, Instituto de Salud Carlos III, Madrid, Spain
| | - Sophie Belman
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Narender Kumar
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK
| | | | - Rebecca A Gladstone
- Department of Biostatistics, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | | | - K L Ravikumar
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bangalore, India
| | - Rama Kandasamy
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Churchill Hospital, Oxford, UK,NIHR Oxford Biomedical Research Centre, Oxford, UK,School of Women and Children's Health, University of New South Wales, Sydney, NSW, Australia,Discipline of Paediatrics and Child Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Sir Andrew J Pollard
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Churchill Hospital, Oxford, UK,NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Samir K Saha
- Child Health Research Foundation, Dhaka, Bangladesh
| | | | - Martin Antonio
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at The London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Brenda Kwambana-Adams
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at The London School of Hygiene & Tropical Medicine, Fajara, The Gambia,NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity, University College London, London, UK
| | - Shaper Mirza
- Microbiology and Immunology Laboratory, Department of Biology, Lahore University of Management Sciences, Lahore, Pakistan
| | - Sadia Shakoor
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Imran Nisar
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Jennifer E Cornick
- Malawi-Liverpool-Wellcome-Trust, Blantyre, Malawi,Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Deborah Lehmann
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Rebecca L Ford
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Betuel Sigauque
- Centro de Investigação em Saúde da Manhiça, Maputo, Mozambique
| | - Paul Turner
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Stephen K Obaro
- Division of Pediatric Infectious Disease, University of Nebraska Medical Center Omaha, Omaha, NE, USA,International Foundation against Infectious Diseases in Nigeria, Abuja, Nigeria
| | - Ron Dagan
- Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Idrissa Diawara
- Department of Microbiology, Faculty of Medicine and Pharmacy of Casablanca, Hassan II University of Casablanca, Casablanca, Morocco,National Reference Laboratory, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Anna Skoczyńska
- Department of Epidemiology and Clinical Microbiology, National Medicines Institute, Warsaw, Poland
| | - Hui Wang
- Peking University People ‘s Hospital, Beijing, China
| | - Philip E Carter
- Institute of Environmental Science and Research Limited, Kenepuru Science Centre, Porirua, New Zealand
| | - Keith P Klugman
- Rollins School Public Health, Emory University, Atlanta, GA, USA
| | - Gail Rodgers
- Pneumonia Program, Bill & Melinda Gates Foundation, Seattle, WA, USA
| | - Robert F Breiman
- Rollins School Public Health, Emory University, Atlanta, GA, USA,Emory Global Health Institute, Emory University, Atlanta, GA, USA
| | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stephen D Bentley
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Carmen Muñoz Almagro
- Department of RDI Microbiology, Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain,School of Medicine, Universitat Internacional de Catalunya, Barcelona, Spain,Spanish Network of Epidemiology and Public Health, CIBERESP, Instituto de Salud Carlos III, Madrid, Spain
| | - Emmanuelle Varon
- National Reference Center for Pneumococci, Centre Hospitalier Intercommunal de Créteil, Créteil, France
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15
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Egorova E, Kumar N, Gladstone RA, Urban Y, Voropaeva E, Chaplin A, Rumiantseva E, Svistunova TS, Hawkins PA, Klugman KP, Breiman RF, McGee L, Bentley SD, Lo SW. Key features of pneumococcal isolates recovered in Central and Northwestern Russia in 2011–2018 determined through whole-genome sequencing. Microb Genom 2022; 8. [PMID: 36112007 PMCID: PMC9676041 DOI: 10.1099/mgen.0.000851] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Invasive pneumococcal disease remains one of the leading causes of morbidity and mortality worldwide. In Russia, 13- valent pneumococcal conjugate vaccine (PCV13) was introduced into the childhood immunization programme nationwide in 2014. As part of the Global Pneumococcal Sequencing Project (GPS), we used genome data to characterize 179 pneumococcal isolates collected from Russia in 2011–2018 to investigate the circulating pneumococcal strains using a standardized genomic definition of pneumococcal lineages (global pneumococcal sequence clusters, GPSCs), prevalent serotypes and antimicrobial resistance profiles. We observed high serotype and lineage diversity among the 179 isolates recovered from cerebrospinal fluid (n=77), nasopharyngeal swabs (n=99) and other non-sterile site swabs (n=3). Overall, 60 GPSCs were identified, including 48 clonal complexes (CCs) and 14 singletons, and expressed 42 serotypes (including non-typable). Among PCV13 serotypes, 19F, 6B and 23F were the top three serotypes while 11A, 15B/C and 8 were the top three among non-PCV13 serotypes in the collection. Two lineages (GPSC6 and GPSC47) expressed both PCV13 and non-PCV13 serotypes that caused invasive disease, and were penicillin- and multidrug-resistant (MDR), highlighting their potential to adapt and continue to cause infections under vaccine and antibiotic selective pressure. PCV13 serotypes comprised 92 % (11/12) of the CSF isolates from the children aged below 5 years; however, the prevalence of PCV13 serotype isolates dropped to 53 % (31/58) among the nasopharyngeal isolates. Our analysis showed that 59 % (105/179) of the isolates were predicted to be non-susceptible to at least one class of antibiotics and 26 % (46/179) were MDR. Four MDR lineages (GPSC1, GPSC6, GPSC10 and GPSC47) accounted for 65 % (30/46) of the MDR isolates and expressed PCV13 serotypes (93 %, 28/30). This study provides evidence of high genetic and serotype diversity contributed by a mix of globally spreading and regionally circulating lineages in Russia. The observations suggest that the PCV13 vaccine could be important in reducing both invasive disease and antimicrobial resistance. We also identify potential lineages (GPSC6 and GPSC47) that may evade the vaccine.
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Affiliation(s)
- Ekaterina Egorova
- G. N. Gabrichevsky Research Institute for Epidemiology and Microbiology, Moscow, Russia
| | - Narender Kumar
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Rebecca A. Gladstone
- Department of Biostatistics, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Yulia Urban
- G. N. Gabrichevsky Research Institute for Epidemiology and Microbiology, Moscow, Russia
| | - Elena Voropaeva
- G. N. Gabrichevsky Research Institute for Epidemiology and Microbiology, Moscow, Russia
| | - A.V. Chaplin
- G. N. Gabrichevsky Research Institute for Epidemiology and Microbiology, Moscow, Russia
| | | | | | | | - Keith P. Klugman
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | | | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, USA
| | - Stephen D. Bentley
- Department of Pathology, University of Cambridge, Cambridge, UK
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Stephanie W. Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
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16
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Metcalf B, Nanduri S, Chochua S, Li Y, Fleming-Dutra K, McGee L, Beall B. Cluster Transmission Drives Invasive Group A Streptococcus Disease Within the United States and Is Focused on Communities Experiencing Disadvantage. J Infect Dis 2022; 226:546-553. [PMID: 35511035 PMCID: PMC11058745 DOI: 10.1093/infdis/jiac162] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/28/2022] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Group A streptococci (GAS), although usually responsible for mild infections, can sometimes spread into normally sterile sites and cause invasive GAS disease (iGAS). Because both the risk of iGAS disease and occurrence of outbreaks are elevated within certain communities, such as those comprising people who inject drugs (PWID) and people experiencing homelessness (PEH), understanding the transmission dynamics of GAS is of major relevance to public health. METHODS We used a cluster detection tool to scan genomes of 7552 Streptococcus pyogenes isolates acquired through the population-based Active Bacterial Core surveillance (ABCs) during 2015-2018 to identify genomically related clusters representing previously unidentified iGAS outbreaks. RESULTS We found that 64.6% of invasive isolates were included within clusters of at least 4 temporally related isolates. Calculating a cluster odds ratio (COR) for each emm type revealed that types vary widely in their propensity to form transmission clusters. By incorporating additional epidemiological metadata for each isolate, we found that emm types with a higher proportion of cases occurring among PEH and PWID were associated with higher CORs. Higher CORs were also correlated with emm types that are less geographically dispersed. CONCLUSIONS Early identification of clusters with implementation of outbreak control measures could result in significant reduction of iGAS.
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Affiliation(s)
- Benjamin Metcalf
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Srinivas Nanduri
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sopio Chochua
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yuan Li
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Fleming-Dutra
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lesley McGee
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Bernard Beall
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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17
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Rebelo AR, Bortolaia V, Leekitcharoenphon P, Hansen DS, Nielsen HL, Ellermann-Eriksen S, Kemp M, Røder BL, Frimodt-Møller N, Søndergaard TS, Coia JE, Østergaard C, Westh H, Aarestrup FM. One Day in Denmark: Comparison of Phenotypic and Genotypic Antimicrobial Susceptibility Testing in Bacterial Isolates From Clinical Settings. Front Microbiol 2022; 13:804627. [PMID: 35756053 PMCID: PMC9226621 DOI: 10.3389/fmicb.2022.804627] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Antimicrobial susceptibility testing (AST) should be fast and accurate, leading to proper interventions and therapeutic success. Clinical microbiology laboratories rely on phenotypic methods, but the continuous improvement and decrease in the cost of whole-genome sequencing (WGS) technologies make them an attractive alternative. Studies evaluating the performance of WGS-based prediction of antimicrobial resistance (AMR) for selected bacterial species have shown promising results. There are, however, significant gaps in the literature evaluating the applicability of WGS as a diagnostics method in real-life clinical settings against the range of bacterial pathogens experienced there. Thus, we compared standard phenotypic AST results with WGS-based predictions of AMR profiles in bacterial isolates without preselection of defined species, to evaluate the applicability of WGS as a diagnostics method in clinical settings. We collected all bacterial isolates processed by all Danish Clinical Microbiology Laboratories in 1 day. We randomly selected 500 isolates without any preselection of species. We performed AST through standard broth microdilution (BMD) for 488 isolates (n = 6,487 phenotypic AST results) and compared results with in silico antibiograms obtained through WGS (Illumina NextSeq) followed by bioinformatics analyses using ResFinder 4.0 (n = 5,229 comparisons). A higher proportion of AMR was observed for Gram-negative bacteria (10.9%) than for Gram-positive bacteria (6.1%). Comparison of BMD with WGS data yielded a concordance of 91.7%, with discordant results mainly due to phenotypically susceptible isolates harboring genetic AMR determinants. These cases correspond to 6.2% of all isolate-antimicrobial combinations analyzed and to 6.8% of all phenotypically susceptible combinations. We detected fewer cases of phenotypically resistant isolates without any known genetic resistance mechanism, particularly 2.1% of all combinations analyzed, which corresponded to 26.4% of all detected phenotypic resistances. Most discordances were observed for specific combinations of species-antimicrobial: macrolides and tetracycline in streptococci, ciprofloxacin and β-lactams in combination with β-lactamase inhibitors in Enterobacterales, and most antimicrobials in Pseudomonas aeruginosa. WGS has the potential to be used for surveillance and routine clinical microbiology. However, in clinical microbiology settings and especially for certain species and antimicrobial agent combinations, further developments in AMR gene databases are needed to ensure higher concordance between in silico predictions and expected phenotypic AMR profiles.
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Affiliation(s)
- Ana Rita Rebelo
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valeria Bortolaia
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.,Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | | | | | - Hans Linde Nielsen
- Department of Clinical Microbiology, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Michael Kemp
- Department of Clinical Microbiology, Odense University Hospital, Odense, Denmark
| | - Bent Løwe Røder
- Department of Clinical Microbiology, Slagelse Hospital, Slagelse, Denmark
| | | | | | - John Eugenio Coia
- Department of Clinical Microbiology, Hospital of South West Jutland, Esbjerg, Denmark
| | - Claus Østergaard
- Department of Clinical Microbiology, Vejle Hospital, Vejle, Denmark
| | - Henrik Westh
- Department of Clinical Microbiology, Hvidovre Hospital, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Frank M Aarestrup
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
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18
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Javaid N, Olwagen C, Nzenze S, Hawkins P, Gladstone R, McGee L, Breiman RF, Bentley SD, Madhi SA, Lo S. Population genomics of pneumococcal carriage in South Africa following the introduction of the 13-valent pneumococcal conjugate vaccine (PCV13) immunization. Microb Genom 2022; 8. [PMID: 35737523 PMCID: PMC9455715 DOI: 10.1099/mgen.0.000831] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Streptococcus pneumoniae is a major human pathogen responsible for over 317000 deaths in children <5 years of age with the burden of the disease being highest in low- and middle-income countries including South Africa. Following the introduction of the 7-valent and 13-valent pneumococcal conjugate vaccine (PCV) in South Africa in 2009 and 2011, respectively, a decrease in both invasive pneumococcal infections and asymptomatic carriage of vaccine-type pneumococci were reported. In this study, we described the changing epidemiology of the pneumococcal carriage population in South Africa, by sequencing the genomes of 1825 isolates collected between 2009 and 2013. Using these genomic data, we reported the changes in serotypes, Global Pneumococcal Sequence Clusters (GPSCs), and antibiotic resistance before and after the introduction of PCV13. The pneumococcal carriage population in South Africa has a high level of diversity, comprising of 126 GPSCs and 49 serotypes. Of the ten most prevalent GPSCs detected, six were predominantly found in Africa (GPSC22, GPSC21, GPSC17, GPSC33, GPSC34 and GPSC52). We found a significant decrease in PCV7 serotypes (19F, 6B, 23F and 14) and an increase in non-vaccine serotypes (NVT) (16F, 34, 35B and 11A) among children <2 years of age. The increase in NVTs was driven by pneumococcal lineages GPSC33, GPSC34, GPSC5 and GPSC22. Overall, a decrease in antibiotic resistance for 11 antimicrobials was detected in the PCV13 era. Further, we reported a higher resistance prevalence among vaccine types (VTs), as compared to NVTs; however, an increase in penicillin resistance among NVT was observed between the PCV7 and PCV13 eras. The carriage isolates from South Africa predominantly belonged to pneumococcal lineages, which are endemic to Africa. While the introduction of PCV resulted in an overall reduction of resistance in pneumococcal carriage isolates, an increase in penicillin resistance among NVTs was detected in children aged between 3 and 5 years, driven by the expansion of penicillin-resistant clones associated with NVTs in the PCV13 era.
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Affiliation(s)
- Nida Javaid
- Department of Biology, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
- *Correspondence: Nida Javaid, ;
| | - Courtney Olwagen
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Susan Nzenze
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Paulina Hawkins
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Stephen D. Bentley
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Shabir A. Madhi
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- *Correspondence: Shabir A. Madhi,
| | - Stephanie Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
- *Correspondence: Stephanie Lo,
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19
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Beall B, Chochua S, Li Z, Tran T, Varghese J, McGee L, Li Y, Metcalf B. Invasive pneumococcal disease clusters disproportionally impact persons experiencing homelessness, injecting drug users, and the western United States. J Infect Dis 2022; 226:332-341. [PMID: 35172327 DOI: 10.1093/infdis/jiac058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/14/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Invasive pneumococcal disease (IPD) isolates forming genomic clusters can reflect rapid disease transmission between vulnerable individuals. METHODS We performed whole genome sequencing of 2820 IPD isolates recovered during 2019 through CDC's Active Bacterial Core surveillance (ABCs) to provide strain information (serotypes, resistance, genotypes), and 2778 of these genomes were analyzed to detect highly related genomic clusters. RESULTS Isolates from persons experiencing homelessness (PEH) were more often within genomic clusters than those from persons not experiencing homelessness (PNEH) (105/198, 53.0% vs 592/2551, 23.2%, p<0.001). The 4 western sites accounted for 33.4% (929/2778) of isolates subjected to cluster analysis yet accounted for 48.7% (343/705) of clustering isolates (p<0.001) and 150/198 (75.8%) isolates recovered from PEH (p<0.001). Serotypes most frequent among PEH were (in rank order) 12F, 4, 3, 9N, 8, 20, and 22F, all of which were among the 10 serotypes exhibiting the highest proportions of clustering isolates among all cases. These serotypes accounted for 44.9% (1265/2820) of all IPD cases and are included within available vaccines. CONCLUSIONS We identified serotype-specific and geographic differences in IPD transmission. We show the vulnerability of PEH within different regions to rapidly spreading IPD transmission networks representing several pneumococcal serotypes included in available vaccines.
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Affiliation(s)
- Bernard Beall
- Respiratory Diseases Branch, Division of Bacterial Diseases, Centers for Disease Control and Prevention (retired), Eagle Global Scientific, LLC, Atlanta, Georgia, USA
| | - Sopio Chochua
- Respiratory Diseases Branch, Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | | | - Lesley McGee
- Respiratory Diseases Branch, Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yuan Li
- Respiratory Diseases Branch, Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Benjamin Metcalf
- Respiratory Diseases Branch, Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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20
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21
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Cao H, Chiu KHY, Chiu SS, Jiang S, Chow KH, Ho PL. Genomic investigation of a Streptococcus pneumoniae serotype 24F strain causing meningoencephalitis in Hong Kong. Int J Med Microbiol 2021; 311:151543. [PMID: 34864352 DOI: 10.1016/j.ijmm.2021.151543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/25/2021] [Accepted: 11/29/2021] [Indexed: 12/13/2022] Open
Abstract
Pneumococcal conjugate vaccines (PCVs) successfully decreased the incidence of invasive pneumococcal disease in children. However, many countries have reported serotype replacement and a rebound in diseases from non-vaccine serotypes. Here, we report the genomic investigation of a Streptococcus pneumoniae strain M215 that caused severe meningoencephalitis in an infant in 2019. The strain was assigned to serotype 24F using the bioinformatic pipeline SeroBA and pneumococcal type specific anti-sera. The strain was resistant to cotrimoxazole from mutations in both folA and folP genes. It was susceptible to penicillin and other non-β-lactam antibiotics. Phylogenetically, it belongs to Global Pneumococcal Sequence Cluster (GPSC) 6 and multi-locus sequence type 162. A total of 38 virulence genes were detected in the genome of M215. Upon comparison of the profile of virulence genes, GPSC6 but not non-GPSC6 strains of serotype 24F and related serotypes were found to possess the major virulence determinant, pilus islet-1, comprising genes encoding sortases (srtB, srtC, srtD), pilus proteins (rrgA, rrgB and rrgC) and one transcriptional regulator (rlrA), which was previously described to be characteristic feature of international clones in the pre-PCV era. In our locality, this represented the first detection of serotype 24F and GPSC6/ST162 causing serious pneumococcal disease. The emergence of the non-vaccine serotype 24F GPSC6/ST162 lineage with molecular feature of high virulence is concerning and emphasizes the need for full characterization of strains causing severe disease.
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Affiliation(s)
- Huiluo Cao
- Carol Yu Center for Infection and Department of Microbiology, University of Hong Kong, Hong Kong, China
| | | | - Susan S Chiu
- Department of Paediatrics and Adolescent Medicine, University of Hong Kong, Hong Kong, China
| | - Shuo Jiang
- Carol Yu Center for Infection and Department of Microbiology, University of Hong Kong, Hong Kong, China
| | - Kin-Hung Chow
- Carol Yu Center for Infection and Department of Microbiology, University of Hong Kong, Hong Kong, China
| | - Pak-Leung Ho
- Carol Yu Center for Infection and Department of Microbiology, University of Hong Kong, Hong Kong, China; Department of Microbiology, Queen Mary Hospital, Hong Kong, China.
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22
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Linear regression equations to predict β-lactam, macrolide, lincosamide and fluoroquinolone minimum inhibitory concentrations from molecular antimicrobial resistance determinants in Streptococcus pneumoniae. Antimicrob Agents Chemother 2021; 66:e0137021. [PMID: 34662197 PMCID: PMC8765234 DOI: 10.1128/aac.01370-21] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Antimicrobial resistance in Streptococcus pneumoniae represents a threat to public health and monitoring the dissemination of resistant strains is essential to guiding health policy. Multiple-variable linear regression modeling was used to determine the contributions of molecular antimicrobial resistance determinants to antimicrobial minimum inhibitory concentration (MIC) for penicillin, ceftriaxone, erythromycin, clarithromycin, clindamycin, levofloxacin, and trimethoprim/sulfamethoxazole. Training data sets consisting of Canadian S. pneumoniae isolated from 1995 to 2019 were used to generate multiple-variable linear regression equations for each antimicrobial. The regression equations were then applied to validation data sets of Canadian (n=439) and USA (n=607 and n=747) isolates. The MIC for β-lactam antimicrobials were fully explained by amino acid substitutions in motif regions of the penicillin binding proteins PBP1a, PPB2b, and PBP2x. Accuracy of predicted MICs within one doubling dilution to phenotypically determined MICs for penicillin was 97.4%, ceftriaxone 98.2%; erythromycin 94.8%; clarithromycin 96.6%; clindamycin 98.2%; levofloxacin 100%; and trimethoprim/sulfamethoxazole 98.8%; with an overall sensitivity of 95.8% and specificity of 98.0%. Accuracy of predicted MICs to the phenotypically determined MICs was similar to phenotype-only MIC comparison studies. The ability to acquire detailed antimicrobial resistance information directly from molecular determinants will facilitate the transition from routine phenotypic testing to whole genome sequencing analysis and can fill the surveillance gap in an era of increased reliance on nucleic acid assay diagnostics to better monitor the dynamics of S. pneumoniae.
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23
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Almeida SCG, Lo SW, Hawkins PA, Gladstone RA, Cassiolato AP, Klugman KP, Breiman RF, Bentley SD, McGee L, Brandileone MCDC. Genomic surveillance of invasive Streptococcus pneumoniae isolates in the period pre-PCV10 and post-PCV10 introduction in Brazil. Microb Genom 2021; 7. [PMID: 34609274 PMCID: PMC8627213 DOI: 10.1099/mgen.0.000635] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
In 2010, Brazil introduced the 10-valent pneumococcal conjugate vaccine (PCV10) into the national children’s immunization programme. This study describes the genetic characteristics of invasive Streptococcus pneumoniae isolates before and after PCV10 introduction. A subset of 466 [pre-PCV10 (2008–2009): n=232, post-PCV10 (2012–2013): n=234;<5 years old: n=310, ≥5 years old: n=156] pneumococcal isolates, collected through national laboratory surveillance, were whole-genome sequenced (WGS) to determine serotype, pilus locus, antimicrobial resistance and genetic lineages. Following PCV10 introduction, in the <5 years age group, non-vaccine serotypes (NVT) serotype 3 and serotype 19A were the most frequent, and serotypes 12F, 8 and 9 N in the ≥5 years old group. The study identified 65 Global Pneumococcal Sequence Clusters (GPSCs): 49 (88 %) were GPSCs previously described and 16 (12 %) were Brazilian clusters. In total, 36 GPSCs (55 %) were NVT lineages, 18 (28 %) vaccine serotypes (VT) and 11 (17 %) were both VT and NVT lineages. In both sampling periods, the most frequent lineage was GPSC6 (CC156, serotypes 14/9V). In the <5 years old group, a decrease in penicillin (P=0.0123) and cotrimoxazole (P<0.0001) resistance and an increase in tetracycline (P=0.019) were observed. Penicillin nonsusceptibility was predicted in 40 % of the isolates; 127 PBP combinations were identified (51 predicted MIC≥0.125 mg l−1); cotrimoxazole (folA and/or folP alterations), macrolide (mef and/or ermB) and tetracycline (tetM, tetO or tetS/M) resistance were predicted in 63, 13 and 21.6 % of pneumococci studied, respectively. The main lineages associated with multidrug resistance in the post-PCV10 period were composed of NVT, GPSC1 (CC320, serotype 19A), and GPSC47 (ST386, serotype 6C). The study provides a baseline for future comparisons and identified important NVT lineages in the post-PCV10 period in Brazil.
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Affiliation(s)
- Samanta C. G. Almeida
- National Reference Laboratory for Meningitis and Pneumococcal Infections, Institute Adolfo Lutz, São Paulo, Brazil
- *Correspondence: Samanta C. G. Almeida,
| | - Stephanie W. Lo
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Paulina A. Hawkins
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, USA
| | | | - Ana Paula Cassiolato
- National Reference Laboratory for Meningitis and Pneumococcal Infections, Institute Adolfo Lutz, São Paulo, Brazil
| | - Keith P. Klugman
- Emeritus Professor of Global Health, Emory University, Atlanta, GA, USA
| | | | - Stephen D. Bentley
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Lesley McGee
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, USA
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24
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Gagetti P, Lo SW, Hawkins PA, Gladstone RA, Regueira M, Faccone D, Sireva-Argentina Group, Klugman KP, Breiman RF, McGee L, Bentley SD, Corso A. Population genetic structure, serotype distribution and antibiotic resistance of Streptococcus pneumoniae causing invasive disease in children in Argentina. Microb Genom 2021; 7. [PMID: 34586054 PMCID: PMC8715423 DOI: 10.1099/mgen.0.000636] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Invasive disease caused by Streptococcus pneumoniae (IPD) is one of the leading causes of morbidity and mortality in young children worldwide. In Argentina, PCV13 was introduced into the childhood immunization programme nationwide in 2012 and PCV7 was available from 2000, but only in the private market. Since 1993 the National IPD Surveillance Programme, consisting of 150 hospitals, has conducted nationwide pneumococcal surveillance in Argentina in children under 6 years of age, as part of the SIREVA II-OPS network. A total of 1713 pneumococcal isolates characterized by serotype (Quellung) and antimicrobial resistance (agar dilution) to ten antibiotics, belonging to three study periods: pre-PCV7 era 1998-1999 (pre-PCV), before the introduction of PCV13 2010-2011 (PCV7) and after the introduction of PCV13 2012-2013 (PCV13), were available for inclusion. Fifty-four serotypes were identified in the entire collection and serotypes 14, 5 and 1 represented 50 % of the isolates. Resistance to penicillin was 34.9 %, cefotaxime 10.6 %, meropenem 4.9 %, cotrimoxazole 45 %, erythromycin 21.5 %, tetracycline 15.4 % and chloramphenicol 0.4 %. All the isolates were susceptible to levofloxacin, rifampin and vancomycin. Of 1713 isolates, 1061 (61.9 %) were non-susceptible to at least one antibiotic and 235(13.7 %) were multidrug resistant. A subset of 413 isolates was randomly selected and whole-genome sequenced as part of Global Pneumococcal Sequencing Project (GPS). The genome data was used to investigate the population structure of S. pneumoniae defining pneumococcal lineages using Global Pneumococcal Sequence Clusters (GPSCs), sequence types (STs) and clonal complexes (CCs), prevalent serotypes and their associated pneumococcal lineages and genomic inference of antimicrobial resistance. The collection showed a great diversity of strains. Among the 413 isolates, 73 known and 36 new STs were identified belonging to 38 CCs and 25 singletons, grouped into 52 GPSCs. Important changes were observed among vaccine types when pre-PCV and PCV13 periods were compared; a significant decrease in serotypes 14, 6B and 19F and a significant increase in 7F and 3. Among non-PCV13 types, serogroup 24 increased from 0 % in pre-PCV to 3.2 % in the PCV13 period. Our analysis showed that 66.1 % (273/413) of the isolates were predicted to be non-susceptible to at least one antibiotic and 11.9 % (49/413) were multidrug resistant. We found an agreement of 100 % when comparing the serotype determined by Quellung and WGS-based serotyping and 98.4 % of agreement in antimicrobial resistance. Continued surveillance of the pneumococcal population is needed to reveal the dynamics of pneumococcal isolates in Argentina in post-PCV13. This article contains data hosted by Microreact.
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Affiliation(s)
- Paula Gagetti
- Antimicrobial Agents Division. National Reference Laboratory in Antimicrobial Resistance. INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Stephanie W Lo
- Parasites and Microbes, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Paulina A Hawkins
- Rollins School of Public Health, Emory University, Atlanta, GA, USA.,Centers for Disease Control and Prevention, Atlanta, USA
| | - Rebecca A Gladstone
- Parasites and Microbes, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Mabel Regueira
- Bacteriology Division. INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Diego Faccone
- Antimicrobial Agents Division. National Reference Laboratory in Antimicrobial Resistance. INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | | | - Keith P Klugman
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Robert F Breiman
- Rollins School of Public Health, Emory University, Atlanta, GA, USA.,Emory Global Health Institute, Atlanta, USA
| | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, USA
| | - Stephen D Bentley
- Parasites and Microbes, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Alejandra Corso
- Antimicrobial Agents Division. National Reference Laboratory in Antimicrobial Resistance. INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
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25
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Kalizang'oma A, Chaguza C, Gori A, Davison C, Beleza S, Antonio M, Beall B, Goldblatt D, Kwambana-Adams B, Bentley SD, Heyderman RS. Streptococcus pneumoniae serotypes that frequently colonise the human nasopharynx are common recipients of penicillin-binding protein gene fragments from Streptococcus mitis. Microb Genom 2021; 7. [PMID: 34550067 PMCID: PMC8715442 DOI: 10.1099/mgen.0.000622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Streptococcus pneumoniae is an important global pathogen that causes bacterial pneumonia, sepsis and meningitis. Beta-lactam antibiotics are the first-line treatment for pneumococcal disease, however, their effectiveness is hampered by beta-lactam resistance facilitated by horizontal genetic transfer (HGT) with closely related species. Although interspecies HGT is known to occur among the species of the genus Streptococcus, the rates and effects of HGT between Streptococcus pneumoniae and its close relatives involving the penicillin binding protein (pbp) genes remain poorly understood. Here we applied the fastGEAR tool to investigate interspecies HGT in pbp genes using a global collection of whole-genome sequences of Streptococcus mitis, Streptococcus oralis and S. pneumoniae. With these data, we established that pneumococcal serotypes 6A, 13, 14, 16F, 19A, 19F, 23F and 35B were the highest-ranking serotypes with acquired pbp fragments. S. mitis was a more frequent pneumococcal donor of pbp fragments and a source of higher pbp nucleotide diversity when compared with S. oralis. Pneumococci that acquired pbp fragments were associated with a higher minimum inhibitory concentration (MIC) for penicillin compared with pneumococci without acquired fragments. Together these data indicate that S. mitis contributes to reduced β-lactam susceptibility among commonly carried pneumococcal serotypes that are associated with long carriage duration and high recombination frequencies. As pneumococcal vaccine programmes mature, placing increasing pressure on the pneumococcal population structure, it will be important to monitor the influence of antimicrobial resistance HGT from commensal streptococci such as S. mitis.
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Affiliation(s)
- Akuzike Kalizang'oma
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection & Immunity, University College London, London, UK
| | - Chrispin Chaguza
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK.,Darwin College, University of Cambridge, Silver Street, Cambridge, UK.,Department of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Andrea Gori
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection & Immunity, University College London, London, UK
| | - Charlotte Davison
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Sandra Beleza
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Martin Antonio
- Medical Research Council Unit The Gambia at London School of Hygiene & Tropical Medicine, World Health Organization, Collaborating Centre for New Vaccines Surveillance, Banjul, Gambia
| | - Bernard Beall
- Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Division of Bacterial Diseases, Atlanta, GA, USA
| | - David Goldblatt
- University College London, Great Ormond Street Institute of Child Health, London, UK
| | - Brenda Kwambana-Adams
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection & Immunity, University College London, London, UK
| | | | - Robert S Heyderman
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection & Immunity, University College London, London, UK
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26
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Nagaraj G, Govindan V, Ganaie F, Venkatesha VT, Hawkins PA, Gladstone RA, McGee L, Breiman RF, Bentley SD, Klugman KP, Lo SW, Ravikumar KL. Streptococcus pneumoniae genomic datasets from an Indian population describing pre-vaccine evolutionary epidemiology using a whole genome sequencing approach. Microb Genom 2021; 7. [PMID: 34494953 PMCID: PMC8715438 DOI: 10.1099/mgen.0.000645] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Globally, India has a high burden of pneumococcal disease, and pneumococcal conjugate vaccine (PCV) has been rolled out in different phases across the country since May 2017 in the national infant immunization programme (NIP). To provide a baseline for assessing the impact of the vaccine on circulating pneumococci in India, genetic characterization of pneumococcal isolates detected prior to introduction of PCV would be helpful. Here we present a population genomic study of 480 Streptococcus pneumoniae isolates collected across India and from all age groups before vaccine introduction (2009–2017), including 294 isolates from pneumococcal disease and 186 collected through nasopharyngeal surveys. Population genetic structure, serotype and antimicrobial susceptibility profile were characterized and predicted from whole-genome sequencing data. Our findings revealed high levels of genetic diversity represented by 110 Global Pneumococcal Sequence Clusters (GPSCs) and 54 serotypes. Serotype 19F and GPSC1 (CC320) was the most common serotype and pneumococcal lineage, respectively. Coverage of PCV13 (Pfizer) and 10-valent Pneumosil (Serum Institute of India) serotypes in age groups of ≤2 and 3–5 years were 63–75 % and 60–69 %, respectively. Coverage of PPV23 (Merck) serotypes in age groups of ≥50 years was 62 % (98/158). Among the top five lineages causing disease, GPSC10 (CC230), which ranked second, is the only lineage that expressed both PCV13 (serotypes 3, 6A, 14, 19A and 19F) and non-PCV13 (7B, 13, 10A, 11A, 13, 15B/C, 22F, 24F) serotypes. It exhibited multidrug resistance and was the largest contributor (17 %, 18/103) of NVTs in the disease-causing population. Overall, 42 % (202/480) of isolates were penicillin-resistant (minimum inhibitory concentration ≥0.12 µg ml−1) and 45 % (217/480) were multidrug-resistant. Nine GPSCs (GPSC1, 6, 9, 10, 13, 16, 43, 91, 376) were penicillin-resistant and among them six were multidrug-resistant. Pneumococci expressing PCV13 serotypes had a higher prevalence of antibiotic resistance. Sequencing of pneumococcal genomes has significantly improved our understanding of the biology of these bacteria. This study, describing the pneumococcal disease and carriage epidemiology pre-PCV introduction, demonstrates that 60–75 % of pneumococcal serotypes in children ≤5 years are covered by PCV13 and Pneumosil. Vaccination against pneumococci is very likely to reduce antibiotic resistance. A multidrug-resistant pneumococcal lineage, GPSC10 (CC230), is a high-risk clone that could mediate serotype replacement.
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Affiliation(s)
- Geetha Nagaraj
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bangalore, India
| | - Vandana Govindan
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bangalore, India
| | - Feroze Ganaie
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bangalore, India
| | - V T Venkatesha
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bangalore, India
| | - Paulina A Hawkins
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert F Breiman
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Keith P Klugman
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - K L Ravikumar
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bangalore, India
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27
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Hadjirin NF, Miller EL, Murray GGR, Yen PLK, Phuc HD, Wileman TM, Hernandez-Garcia J, Williamson SM, Parkhill J, Maskell DJ, Zhou R, Fittipaldi N, Gottschalk M, Tucker AW(D, Hoa NT, Welch JJ, Weinert LA. Large-scale genomic analysis of antimicrobial resistance in the zoonotic pathogen Streptococcus suis. BMC Biol 2021; 19:191. [PMID: 34493269 PMCID: PMC8422772 DOI: 10.1186/s12915-021-01094-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/13/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Antimicrobial resistance (AMR) is among the gravest threats to human health and food security worldwide. The use of antimicrobials in livestock production can lead to emergence of AMR, which can have direct effects on humans through spread of zoonotic disease. Pigs pose a particular risk as they are a source of zoonotic diseases and receive more antimicrobials than most other livestock. Here we use a large-scale genomic approach to characterise AMR in Streptococcus suis, a commensal found in most pigs, but which can also cause serious disease in both pigs and humans. RESULTS We obtained replicated measures of Minimum Inhibitory Concentration (MIC) for 16 antibiotics, across a panel of 678 isolates, from the major pig-producing regions of the world. For several drugs, there was no natural separation into 'resistant' and 'susceptible', highlighting the need to treat MIC as a quantitative trait. We found differences in MICs between countries, consistent with their patterns of antimicrobial usage. AMR levels were high even for drugs not used to treat S. suis, with many multidrug-resistant isolates. Similar levels of resistance were found in pigs and humans from regions associated with zoonotic transmission. We next used whole genome sequences for each isolate to identify 43 candidate resistance determinants, 22 of which were novel in S. suis. The presence of these determinants explained most of the variation in MIC. But there were also interesting complications, including epistatic interactions, where known resistance alleles had no effect in some genetic backgrounds. Beta-lactam resistance involved many core genome variants of small effect, appearing in a characteristic order. CONCLUSIONS We present a large dataset allowing the analysis of the multiple contributing factors to AMR in S. suis. The high levels of AMR in S. suis that we observe are reflected by antibiotic usage patterns but our results confirm the potential for genomic data to aid in the fight against AMR.
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Affiliation(s)
- Nazreen F. Hadjirin
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Eric L. Miller
- grid.256868.70000 0001 2215 7365Microbial Ecology and Evolution Laboratory, Haverford College, Haverford, USA
| | - Gemma G. R. Murray
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Phung L. K. Yen
- grid.412433.30000 0004 0429 6814Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Ho D. Phuc
- grid.412433.30000 0004 0429 6814Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Thomas M. Wileman
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Juan Hernandez-Garcia
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Susanna M. Williamson
- grid.13689.350000 0004 0426 1697Department for Environment, Food and Rural Affairs (Defra), London, UK
| | - Julian Parkhill
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Duncan J. Maskell
- grid.1008.90000 0001 2179 088XChancellery, University of Melbourne, Melbourne, Australia
| | - Rui Zhou
- grid.35155.370000 0004 1790 4137College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Nahuel Fittipaldi
- grid.14848.310000 0001 2292 3357Faculty of Veterinary Medicine, University of Montreal, Saint-Hyacinthe, Canada
| | - Marcelo Gottschalk
- grid.14848.310000 0001 2292 3357Faculty of Veterinary Medicine, University of Montreal, Saint-Hyacinthe, Canada
| | - A. W. ( Dan) Tucker
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Ngo Thi Hoa
- grid.412433.30000 0004 0429 6814Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - John J. Welch
- grid.5335.00000000121885934Department of Genetics, University of Cambridge, Cambridge, UK
| | - Lucy A. Weinert
- grid.5335.00000000121885934Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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28
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D'Aeth JC, van der Linden MPG, McGee L, de Lencastre H, Turner P, Song JH, Lo SW, Gladstone RA, Sá-Leão R, Ko KS, Hanage WP, Breiman RF, Beall B, Bentley SD, Croucher NJ. The role of interspecies recombination in the evolution of antibiotic-resistant pneumococci. eLife 2021; 10:e67113. [PMID: 34259624 PMCID: PMC8321556 DOI: 10.7554/elife.67113] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/16/2021] [Indexed: 12/27/2022] Open
Abstract
Multidrug-resistant Streptococcus pneumoniae emerge through the modification of core genome loci by interspecies homologous recombinations, and acquisition of gene cassettes. Both occurred in the otherwise contrasting histories of the antibiotic-resistant S. pneumoniae lineages PMEN3 and PMEN9. A single PMEN3 clade spread globally, evading vaccine-induced immunity through frequent serotype switching, whereas locally circulating PMEN9 clades independently gained resistance. Both lineages repeatedly integrated Tn916-type and Tn1207.1-type elements, conferring tetracycline and macrolide resistance, respectively, through homologous recombination importing sequences originating in other species. A species-wide dataset found over 100 instances of such interspecific acquisitions of resistance cassettes and flanking homologous arms. Phylodynamic analysis of the most commonly sampled Tn1207.1-type insertion in PMEN9, originating from a commensal and disrupting a competence gene, suggested its expansion across Germany was driven by a high ratio of macrolide-to-β-lactam consumption. Hence, selection from antibiotic consumption was sufficient for these atypically large recombinations to overcome species boundaries across the pneumococcal chromosome.
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Affiliation(s)
- Joshua C D'Aeth
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College LondonLondonUnited Kingdom
| | - Mark PG van der Linden
- Institute for Medical Microbiology, National Reference Center for Streptococci, University Hospital RWTH AachenAachenGermany
| | - Lesley McGee
- Respiratory Diseases Branch, Centers for Disease Control and PreventionAtlantaUnited States
| | - Herminia de Lencastre
- Laboratory of Molecular Genetics, Instituto de Tecnologia Química e Biológica, Universidade Nova de LisboaOeirasPortugal
- Laboratory of Microbiology and Infectious Diseases, The Rockefeller UniversityNew YorkUnited States
| | - Paul Turner
- Cambodia Oxford Medical Research Unit, Angkor Hospital for ChildrenSiem ReapCambodia
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Jae-Hoon Song
- Department of Molecular Cell Biology, Sungkyunkwan University School of MedicineSuwonRepublic of Korea
| | - Stephanie W Lo
- Parasites & Microbes, Wellcome Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Rebecca A Gladstone
- Parasites & Microbes, Wellcome Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Raquel Sá-Leão
- Laboratory of Molecular Microbiology of Human Pathogens, Instituto de Tecnologia Química e Biológica, Universidade Nova de LisboaOeirasPortugal
| | - Kwan Soo Ko
- Department of Molecular Cell Biology, Sungkyunkwan University School of MedicineSuwonRepublic of Korea
| | - William P Hanage
- Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public HealthBostonUnited States
| | - Robert F Breiman
- Department of Global Health, Rollins School of Public Health, Emory UniversityAtlantaUnited States
| | - Bernard Beall
- Respiratory Diseases Branch, Centers for Disease Control and PreventionAtlantaUnited States
| | - Stephen D Bentley
- Parasites & Microbes, Wellcome Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Nicholas J Croucher
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College LondonLondonUnited Kingdom
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29
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Senghore M, Tientcheu PE, Worwui AK, Jarju S, Okoi C, Suso SMS, Foster-Nyarko E, Ebruke C, Sonko M, Kourna MH, Agossou J, Tsolenyanu E, Renner LA, Ansong D, Sanneh B, Cisse CB, Boula A, Miwanda B, Lo SW, Gladstone RA, Schwartz S, Hawkins P, McGee L, Klugman KP, Breiman RF, Bentley SD, Mwenda JM, Kwambana-Adams BA, Antonio M. Phylogeography and resistome of pneumococcal meningitis in West Africa before and after vaccine introduction. Microb Genom 2021; 7. [PMID: 34328412 PMCID: PMC8477402 DOI: 10.1099/mgen.0.000506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 12/17/2020] [Indexed: 11/11/2022] Open
Abstract
Despite contributing to the large disease burden in West Africa, little is known about the genomic epidemiology of Streptococcus pneumoniae which cause meningitis among children under 5 years old in the region. We analysed whole-genome sequencing data from 185 S. pneumoniae isolates recovered from suspected paediatric meningitis cases as part of the World Health Organization (WHO) invasive bacterial diseases surveillance from 2010 to 2016. The phylogeny was reconstructed, accessory genome similarity was computed and antimicrobial-resistance patterns were inferred from the genome data and compared to phenotypic resistance from disc diffusion. We studied the changes in the distribution of serotypes pre- and post-pneumococcal conjugate vaccine (PCV) introduction in the Central and Western sub-regions separately. The overall distribution of non-vaccine, PCV7 (4, 6B, 9V, 14, 18C, 19F and 23F) and additional PCV13 serotypes (1, 3, 5, 6A, 19A and 7F) did not change significantly before and after PCV introduction in the Central region (Fisher's test P value 0.27) despite an increase in the proportion of non-vaccine serotypes to 40 % (n=6) in the post-PCV introduction period compared to 21.9 % (n=14). In the Western sub-region, PCV13 serotypes were more dominant among isolates from The Gambia following the introduction of PCV7, 81 % (n=17), compared to the pre-PCV period in neighbouring Senegal, 51 % (n=27). The phylogeny illustrated the diversity of strains associated with paediatric meningitis in West Africa and highlighted the existence of phylogeographical clustering, with isolates from the same sub-region clustering and sharing similar accessory genome content. Antibiotic-resistance genotypes known to confer resistance to penicillin, chloramphenicol, co-trimoxazole and tetracycline were detected across all sub-regions. However, there was no discernible trend linking the presence of resistance genotypes with the vaccine introduction period or whether the strain was a vaccine or non-vaccine serotype. Resistance genotypes appeared to be conserved within selected sub-clades of the phylogenetic tree, suggesting clonal inheritance. Our data underscore the need for continued surveillance on the emergence of non-vaccine serotypes as well as chloramphenicol and penicillin resistance, as these antibiotics are likely still being used for empirical treatment in low-resource settings. This article contains data hosted by Microreact.
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Affiliation(s)
- Madikay Senghore
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
- Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA
| | - Peggy-Estelle Tientcheu
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Archibald Kwame Worwui
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Sheikh Jarju
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Catherine Okoi
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Sambou M S Suso
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Ebenezer Foster-Nyarko
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Chinelo Ebruke
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
| | - Mohamadou Sonko
- Hopital d'Enfants Albert Royer, BP 5297, Fann, Dakar, Senegal
| | | | - Joseph Agossou
- Department of Mother and Child, Faculty of Medicine, University of Parakou, Parakou, Benin
- Borgou Regional University Teaching Hospital, Parakou, Benin
| | - Enyonam Tsolenyanu
- Laboratoire Microbiologie, Centre Hospitalier Universitaire de Tokoin Lomé, BP 57, Lomé, Togo
| | - Lorna Awo Renner
- Central Laboratory Services, Korle-Bu Teaching Hospital, P.O. Box 77, Accra, Ghana
| | - Daniel Ansong
- Komfo Anokye Teaching Hospital, P.O. Box 1934, Kumasi, Ghana
| | - Bakary Sanneh
- Edward Francis Small Teaching Hospital, Banjul, The Gambia
| | - Catherine Boni Cisse
- Laboratoire Central du CHU de Yopougon, Institut Pasteur de Cote d'Ivoire, Abidjan, Ivory Coast
| | - Angeline Boula
- Centre Mere et Enfant de la Fondation, Chantal Biya, Yaounde, Cameroon
| | - Berthe Miwanda
- Institut National de Recherche Biomedicale, Kinshasa, Democratic Republic of Congo
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | | | | | - Paulina Hawkins
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lesley McGee
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Keith P Klugman
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Robert F Breiman
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Emory Global Health Institute, Atlanta, GA, USA
| | | | - Jason M Mwenda
- World Health Organization Regional Office for Africa, BP 6, Brazzaville, Republic of Congo
| | - Brenda Anna Kwambana-Adams
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity, University College London, London, UK
| | - Martin Antonio
- WHO Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia
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30
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Metcalf BJ, Chochua S, Walker H, Tran T, Li Z, Varghese J, Snippes Vagnone PM, Lynfield R, McGee L, Li Y, Pilishvili T, Beall B. Invasive Pneumococcal Strain Distributions and Isolate Clusters Associated With Persons Experiencing Homelessness During 2018. Clin Infect Dis 2021; 72:e948-e956. [PMID: 33150366 DOI: 10.1093/cid/ciaa1680] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 10/29/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND We aimed to characterize invasive pneumococcal disease (IPD) isolates collected from multistate surveillance in the United States during 2018 and examine within-serotype propensities of isolates to form related clusters. METHODS We predicted strain features using whole genome sequencing obtained from 2885 IPD isolates obtained through the Center for Disease Control and Prevention's Active Bacterial Core surveillance (ABCs), which has a surveillance population of approximately 34.5 million individuals distributed among 10 states. Phylogenetic analysis was provided for serotypes accounting for ≥27 isolates. RESULTS Thirteen-valent pneumococcal conjugate vaccine (PCV13) serotypes together with 6C accounted for 23 of 105 (21.9%) of isolates from children aged <5 years and 820 of 2780 (29.5%) isolates from those aged ≥5 years. The most common serotypes from adult IPD isolates were serotypes 3 (413/2780 [14.9%]), 22F (291/2780 [10.5%]), and 9N (191/2780 [6.9%]). Among child IPD isolates, serotypes 15BC (18/105 [17.1%]), 3 (11/105 [10.5%]), and 33F (10/105 [9.5%]) were most common. Serotypes 4, 12F, 20, and 7F had the highest proportions of isolates that formed related clusters together with the highest proportions of isolates from persons experiencing homelessness (PEH). Among 84 isolates from long-term care facilities, 2 instances of highly related isolate pairs from co-residents were identified. CONCLUSIONS Non-PCV13 serotypes accounted for >70% of IPD in ABCs; however, PCV13 serotype 3 is the most common IPD serotype overall. Serotypes most common among PEH were more often associated with temporally related clusters identified both among PEH and among persons not reportedly experiencing homelessness.
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Affiliation(s)
- Benjamin J Metcalf
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sopio Chochua
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | | | | | | | - Ruth Lynfield
- Minnesota Department of Health, St. Paul, Minnesota, USA
| | - Lesley McGee
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yuan Li
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Tamara Pilishvili
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Bernard Beall
- Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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31
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Chen YY, Hsieh YC, Gong YN, Liao WC, Li SW, Chang IYF, Lin TL, Huang CT, Chiu CH, Wu TL, Su LH, Li TH, Huang YY. Genomic Insight into the Spread of Meropenem-Resistant Streptococcus pneumoniae Spain 23F-ST81, Taiwan. Emerg Infect Dis 2021; 26:711-720. [PMID: 32186492 PMCID: PMC7101100 DOI: 10.3201/eid2604.190717] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Incidence of invasive pneumococcal disease caused by antimicrobial-resistant Streptococcus pneumoniae types not included in pneumococcal conjugate vaccines has increased, including a penicillin- and meropenem-resistant serotype 15A-ST63 clone in Japan. During 2013-2017, we collected 206 invasive pneumococcal isolates in Taiwan for penicillin and meropenem susceptibility testing. We found serotypes 15B/C-ST83 and 15A-ST63 were the most prevalent penicillin- and meropenem-resistant clones. A transformation study confirmed that penicillin-binding protein (PBP) 2b was the primary meropenem resistance determinant, and PBP1a was essential for high-level resistance. The rate of serotype 15B/C-ST83 increased during the study. All 15B/C-ST83 isolates showed an ermB macrolide resistance genotype. Prediction analysis of recombination sites revealed 12 recombination regions in 15B/C-ST83 compared with the S. pneumoniae Spain23F-ST81 genome. Pneumococcal clones rapidly recombine to acquire survival advantages and undergo local expansion under the selective pressure exerted by vaccines and antimicrobial drugs. The spread of 15B/C-ST83 is alarming for countries with high antimicrobial pressure.
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32
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Bentley SD, Lo SW. Global genomic pathogen surveillance to inform vaccine strategies: a decade-long expedition in pneumococcal genomics. Genome Med 2021; 13:84. [PMID: 34001237 PMCID: PMC8130287 DOI: 10.1186/s13073-021-00901-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/30/2021] [Indexed: 11/10/2022] Open
Abstract
Vaccines are powerful agents in infectious disease prevention but often designed to protect against some strains that are most likely to spread and cause diseases. Most vaccines do not succeed in eradicating the pathogen and thus allow the potential emergence of vaccine evading strains. As with most evolutionary processes, being able to capture all variations across the entire genome gives us the best chance of monitoring and understanding the processes of vaccine evasion. Genomics is being widely adopted as the optimum approach for pathogen surveillance with the potential for early and precise identification of high-risk strains. Given sufficient longitudinal data, genomics also has the potential to forecast the emergence of such strains enabling immediate or pre-emptive intervention. In this review, we consider the strengths and challenges for pathogen genomic surveillance using the experience of the Global Pneumococcal Sequencing (GPS) project as an early example. We highlight the multifaceted nature of genome data and recent advances in genome-based tools to extract useful information relevant to inform vaccine strategies and treatment options. We conclude with future perspectives for genomic pathogen surveillance.
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Affiliation(s)
- Stephen D Bentley
- Parasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
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33
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Li X, Chen Y, Xu X, Li Y, Fan Y, Liu X, Bian X, Wu H, Zhao X, Feng M, Guo B, Zhang J. Pharmacokinetics and Pharmacodynamics of Nemonoxacin in a Neutropenic Murine Lung Infection Model Against Streptococcus Pneumoniae. Front Pharmacol 2021; 12:658558. [PMID: 34017256 PMCID: PMC8129567 DOI: 10.3389/fphar.2021.658558] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/20/2021] [Indexed: 11/13/2022] Open
Abstract
Nemonoxacin, a novel nonfluorinated quinolone for the treatment of community-acquired pneumonia. We reported the pharmacokinetic/pharmacodynamic (PK/PD) targets and PK/PD breakpoints of nemonoxacin against Streptococcus pneumoniae using a neutropenic murine lung infection model. Single-dose PK analysis after subcutaneous administration of nemonoxacin at doses from 2.5 to 80 mg/kg showed maximum plasma concentration (Cmax) 0.56-7.32 mg/L, area under the concentration-time curve from 0 to 24 h (AUC0-24) 0.67-26.10 mg·h/L, and elimination half-life (T1/2) 0.8-1.4 h. The epithelial lining fluid (ELF) penetration ratio of total drug was 1.40. Dose fractionation (1.25-80 mg/kg/day, every 24, 12, 8, and 6 h) and dose escalation studies (1.25-160 mg/kg, every 24 h) were conducted. The sigmoid Emax Hill equation was used to describe the dose-response data. The free-drug plasma fAUC0-24/MIC ratio was considered the PK/PD index most closely associated with efficacy (R2 0.9268). Median fAUC0-24/MIC associated with static, 1-log10 and 2-log10 CFU reduction from baseline were 8.6, 23.2 and 44.4, respectively. Monte Carlo simulation showed 500 mg qd and 750 mg qd oral doses of nemonoxacin were able to achieve 90% probability of target attainment (PTA) against bacteria with MIC of 0.5 mg/L and 1 mg/L. We recommended susceptibility (S) ≤ 0.5 mg/L, intermediate (I) = 1 mg/L and resistant (R) ≥ 2 mg/L as the PK/PD breakpoints for nemonoxacin against S. pneumoniae.
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Affiliation(s)
- Xin Li
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yuancheng Chen
- Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoyong Xu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China
| | - Yi Li
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yaxin Fan
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaofen Liu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xingchen Bian
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Department of Biological Medicines & Shanghai Engineering Research Center of Immunotherapeutics, School of Pharmacy, Fudan University, Shanghai, China
| | - Hailan Wu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xu Zhao
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China
| | - Meiqing Feng
- Department of Biological Medicines & Shanghai Engineering Research Center of Immunotherapeutics, School of Pharmacy, Fudan University, Shanghai, China
| | - Beining Guo
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jing Zhang
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health and Family Planning Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
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34
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Hanage WP, Shelburne SA. Streptococcus pyogenes With Reduced Susceptibility to β-Lactams: How Big an Alarm Bell? Clin Infect Dis 2021; 71:205-206. [PMID: 31630163 DOI: 10.1093/cid/ciz1006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 10/17/2019] [Indexed: 01/26/2023] Open
Affiliation(s)
- William P Hanage
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Samuel A Shelburne
- Departments of Infectious Diseases and Genomic Medicine, MD Anderson Cancer Center, Houston, Texas, USA
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35
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Tsang RSW. A Narrative Review of the Molecular Epidemiology and Laboratory Surveillance of Vaccine Preventable Bacterial Meningitis Agents: Streptococcus pneumoniae, Neisseria meningitidis, Haemophilus influenzae and Streptococcus agalactiae. Microorganisms 2021; 9:449. [PMID: 33671611 PMCID: PMC7926440 DOI: 10.3390/microorganisms9020449] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/16/2021] [Accepted: 02/16/2021] [Indexed: 12/23/2022] Open
Abstract
This narrative review describes the public health importance of four most common bacterial meningitis agents, Streptococcus pneumoniae, Neisseria meningitidis, Haemophilus influenzae, and S. agalactiae (group B Streptococcus). Three of them are strict human pathogens that normally colonize the nasopharynx and may invade the blood stream to cause systemic infections and meningitis. S. agalactiae colonizes the genito-gastrointestinal tract and is an important meningitis agent in newborns, but also causes invasive infections in infants or adults. These four bacteria have polysaccharide capsules that protect them against the host complement defense. Currently licensed conjugate vaccines (against S. pneumoniae, H. influenza, and N. meningitidis only but not S. agalactiae) can induce protective serum antibodies in infants as young as two months old offering protection to the most vulnerable groups, and the ability to eliminate carriage of homologous serotype strains in vaccinated subjects lending further protection to those not vaccinated through herd immunity. However, the serotype-specific nature of these vaccines have driven the bacteria to adapt by mechanisms that affect the capsule antigens through either capsule switching or capsule replacement in addition to the possibility of unmasking of strains or serotypes not covered by the vaccines. The post-vaccine molecular epidemiology of vaccine-preventable bacterial meningitis is discussed based on findings obtained with newer genomic laboratory surveillance methods.
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Affiliation(s)
- Raymond S W Tsang
- Laboratory for Vaccine Preventable Bacterial Diseases, National Microbiology Laboratory, Public Health Agency of Canada, 1015 Arlington Street, Winnipeg, MB R3E 3R2, Canada
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36
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Friedman-Klabanoff DJ, Campbell JD. A 29-day-old Infant with Poor Feeding and a Rash. Pediatr Rev 2021; 42:S15-SS18. [PMID: 33386352 DOI: 10.1542/pir.2019-0096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
| | - James D Campbell
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD
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37
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Nakano S, Fujisawa T, Ito Y, Chang B, Matsumura Y, Yamamoto M, Suga S, Ohnishi M, Nagao M. Streptococcus pneumoniae Serotype 12F-CC4846 and Invasive Pneumococcal Disease after Introduction of 13-Valent Pneumococcal Conjugate Vaccine, Japan, 2015-2017. Emerg Infect Dis 2020; 26:2660-2668. [PMID: 33079039 PMCID: PMC7588537 DOI: 10.3201/eid2611.200087] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
To prevent invasive pneumococcal disease (IPD), pneumococcal conjugate vaccines (PCVs) have been implemented in many countries; however, many cases of IPD still occur and can be attributable to nonvaccine serotypes of Streptococcus pneumoniae. In Japan, the number of IPD cases attributable to serotype 12F increased from 4.4% in 2015 to 24.6% in 2017 after 13-valent PCV was introduced. To clarify the associated genetic characteristics, we conducted whole-genome sequencing of 75 serotype 12F isolates. We identified 2 sequence types (STs) among the isolates: ST4846, which was the major type, and ST6945. Bayesian analysis suggested that these types diverged in »1942. Among serotype 12F-ST4846, we identified a major cluster, PC-JP12F, whose time of most recent common ancestor was estimated to be »2012. A phylogeographic analysis demonstrated that PC-JP12F isolates spread from the Kanto region, the most populated region in Japan, to other local regions.
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38
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Suaya JA, Mendes RE, Sings HL, Arguedas A, Reinert RR, Jodar L, Isturiz RE, Gessner BD. Streptococcus pneumoniae serotype distribution and antimicrobial nonsusceptibility trends among adults with pneumonia in the United States, 2009‒2017. J Infect 2020; 81:557-566. [DOI: 10.1016/j.jinf.2020.07.035] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 07/15/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
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39
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Beall B, Walker H, Tran T, Li Z, Varghese J, McGee L, Li Y, Metcalf BJ, Gierke R, Mosites E, Chochua S, Pilishvili T. Upsurge of Conjugate Vaccine Serotype 4 Invasive Pneumococcal Disease Clusters Among Adults Experiencing Homelessness in California, Colorado, and New Mexico. J Infect Dis 2020; 223:1241-1249. [PMID: 32798216 DOI: 10.1093/infdis/jiaa501] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/04/2020] [Indexed: 11/14/2022] Open
Abstract
After 7-valent pneumococcal conjugate vaccine introduction in the United States in 2000, invasive pneumococcal disease (IPD) due to serotype 4 greatly decreased in children and adults. Starting in 2013, serotype 4 IPD incidence increased among adults within 3 of 10 Active Bacterial Core surveillance sites. Of 325 serotype 4 cases among adults in 2010-2018, 36% were persons experiencing homelessness (PEH); incidence of serotype 4 IPD among PEH was 100-300 times higher than in the general population within these 3 areas. Genome sequencing for isolates recovered 2015-2018 (n = 246), revealed that increases in serotype 4 IPD were driven by lineages ST10172, ST244, and ST695. Within each lineage, clusters of near-identical isolates indicated close temporal relatedness. Increases in serotype 4 IPD were limited to Colorado, California, and New Mexico, with highest increases among PEH, who were at increased risk for exposure to and infections caused by these strains.
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Affiliation(s)
- Bernard Beall
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Hollis Walker
- IHRC Inc., Contractor to Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Theresa Tran
- ASRT Inc., Contractor to Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Zhongya Li
- ASRT Inc., Contractor to Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jasmine Varghese
- ASRT Inc., Contractor to Respiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lesley McGee
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yuan Li
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Benjamin J Metcalf
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ryan Gierke
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Emily Mosites
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sopio Chochua
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Tamara Pilishvili
- Respiratory Disease Branch, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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40
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Clarelli F, Palmer A, Singh B, Storflor M, Lauksund S, Cohen T, Abel S, Abel zur Wiesch P. Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones. PLoS Comput Biol 2020; 16:e1008106. [PMID: 32797079 PMCID: PMC7449454 DOI: 10.1371/journal.pcbi.1008106] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 08/26/2020] [Accepted: 06/30/2020] [Indexed: 11/19/2022] Open
Abstract
Antibiotic resistance is rising and we urgently need to gain a better quantitative understanding of how antibiotics act, which in turn would also speed up the development of new antibiotics. Here, we describe a computational model (COMBAT-COmputational Model of Bacterial Antibiotic Target-binding) that can quantitatively predict antibiotic dose-response relationships. Our goal is dual: We address a fundamental biological question and investigate how drug-target binding shapes antibiotic action. We also create a tool that can predict antibiotic efficacy a priori. COMBAT requires measurable biochemical parameters of drug-target interaction and can be directly fitted to time-kill curves. As a proof-of-concept, we first investigate the utility of COMBAT with antibiotics belonging to the widely used quinolone class. COMBAT can predict antibiotic efficacy in clinical isolates for quinolones from drug affinity (R2>0.9). To further challenge our approach, we also do the reverse: estimate the magnitude of changes in drug-target binding based on antibiotic dose-response curves. We overexpress target molecules to infer changes in antibiotic-target binding from changes in antimicrobial efficacy of ciprofloxacin with 92-94% accuracy. To test the generality of our approach, we use the beta-lactam ampicillin to predict target molecule occupancy at MIC from antimicrobial action with 90% accuracy. Finally, we apply COMBAT to predict antibiotic concentrations that can select for resistance due to novel resistance mutations. Using ciprofloxacin and ampicillin as well defined test cases, our work demonstrates that drug-target binding is a major predictor of bacterial responses to antibiotics. This is surprising because antibiotic action involves many additional effects downstream of drug-target binding. In addition, COMBAT provides a framework to inform optimal antibiotic dose levels that maximize efficacy and minimize the rise of resistant mutants.
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Affiliation(s)
- Fabrizio Clarelli
- Department of Pharmacy, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
- Department of Biology, Eberly College of Science, The Pennsylvania State University, University Park, PA, United States of America
- Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States of America
| | - Adam Palmer
- Department of Pharmacology, Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Bhupender Singh
- Department of Pharmacy, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
| | - Merete Storflor
- Department of Pharmacy, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
- Department of Veterinary and Biomedical Sciences, College of Agricultural Sciences, The Pennsylvania State University, PA, United States of America
| | - Silje Lauksund
- Department of Pharmacy, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States of America
| | - Sören Abel
- Department of Pharmacy, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
- Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States of America
- Department of Veterinary and Biomedical Sciences, College of Agricultural Sciences, The Pennsylvania State University, PA, United States of America
- Centre for Molecular Medicine Norway, Nordic EMBL Partnership, Oslo, Norway
| | - Pia Abel zur Wiesch
- Department of Pharmacy, Faculty of Health Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
- Department of Biology, Eberly College of Science, The Pennsylvania State University, University Park, PA, United States of America
- Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States of America
- Centre for Molecular Medicine Norway, Nordic EMBL Partnership, Oslo, Norway
- * E-mail:
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41
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Gladstone RA, Bojang E, Hart J, Harding-Esch EM, Mabey D, Sillah A, Bailey RL, Burr SE, Roca A, Bentley SD, Holland MJ. Mass drug administration with azithromycin for trachoma elimination and the population structure of Streptococcus pneumoniae in the nasopharynx. Clin Microbiol Infect 2020; 27:864-870. [PMID: 32750538 PMCID: PMC8203556 DOI: 10.1016/j.cmi.2020.07.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/23/2020] [Accepted: 07/25/2020] [Indexed: 11/18/2022]
Abstract
Objective Mass drug administration (MDA) with azithromycin for trachoma elimination reduces nasopharyngeal carriage of Streptococcus pneumoniae in the short term. We evaluated S. pneumoniae carried in the nasopharynx before and after a round of azithromycin MDA to determine whether MDA was associated with changes in pneumococcal population structure and resistance. Methods We analysed 514 pneumococcal whole genomes randomly selected from nasopharyngeal samples collected in two Gambian villages that received three annual rounds of MDA for trachoma elimination. The 514 samples represented 293 participants, of which 75% were children aged 0–9 years, isolated during three cross-sectional surveys (CSSs) conducted before the third round of MDA (CSS-1) and at 1 (CSS-2) and 6 (CSS-3) months after MDA. Bayesian Analysis of Population Structure (BAPS) was used to cluster related isolates by capturing variation in the core genome. Serotype and multilocus sequence type were inferred from the genotype. Antimicrobial resistance determinants were identified from assemblies, including known macrolide resistance genes. Results Twenty-seven BAPS clusters were assigned. These consisted of 81 sequence types (STs). Two BAPS clusters not observed in CSS-1 (n = 109) or CSS-2 (n = 69), increased in frequency in CSS-3 (n = 126); BAPS20 (8.73%, p 0.016) and BAPS22 (7.14%, p 0.032) but were not associated with antimicrobial resistance. Macrolide resistance within BAPS17 increased after treatment (CSS-1 n = 0/6, CSS-2/3 n = 5/5, p 0.002) and was carried on a mobile transposable element that also conferred resistance to tetracycline. Discussion Limited changes in pneumococcal population structure were observed after the third round of MDA, suggesting treatment had little effect on the circulating lineages. An increase in macrolide resistance within one BAPS highlights the need for antimicrobial resistance surveillance in treated villages.
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Affiliation(s)
| | - Ebrima Bojang
- Medical Research Council Unit The Gambia at LSHTM, Fajara, Banjul, Gambia
| | - John Hart
- London School of Hygiene & Tropical Medicine, Keppel Street, London, UK
| | | | - David Mabey
- London School of Hygiene & Tropical Medicine, Keppel Street, London, UK
| | - Ansumana Sillah
- National Eye Health Programme, Ministry of Health and Social Welfare, Kanifing, Gambia
| | - Robin L Bailey
- London School of Hygiene & Tropical Medicine, Keppel Street, London, UK
| | - Sarah E Burr
- London School of Hygiene & Tropical Medicine, Keppel Street, London, UK
| | - Anna Roca
- Medical Research Council Unit The Gambia at LSHTM, Fajara, Banjul, Gambia; London School of Hygiene & Tropical Medicine, Keppel Street, London, UK
| | | | - Martin J Holland
- London School of Hygiene & Tropical Medicine, Keppel Street, London, UK.
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42
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Midouni Ayadi B, Mehiri E, Draoui H, Ghariani A, Essalah L, Raoult D, Fournier PE, Slim-Saidi LN. Phenotypic and molecular characterization of macrolide resistance mechanisms among Streptococcus pneumoniae isolated in Tunisia. J Med Microbiol 2020; 69:505-520. [PMID: 32159507 DOI: 10.1099/jmm.0.001151] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Introduction. Streptococcus pneumoniae is responsible for many community infections, with the main ones being pneumonia and meningitis. Pneumococcus has developed increased resistance to multiple classes of antibiotics. The evolution of antibiotic resistance in pneumococcus was influenced by changes in serotype distribution under vaccine selection pressure.Aim. The aim of this study was to determine the genes involved in macrolide resistance, the antimicrobial susceptibility, the serotype distribution and the spread of international antibiotic-resistant clones among clinical isolates of S. pneumoniae.Methodology. We investigated 86 erythromycin-resistant S. pneumoniae strains isolated from respiratory (n=74) or non-respiratory (n=12) samples in Tunisia. Antimicrobial susceptibility was tested using the disk diffusion method. Macrolide-resistant strains were analysed by polymerase chain reaction (PCR) for ermA, ermB, mefA and msrD. We also investigated the macrolide resistance mechanisms in eight isolates (9.3%) by sequencing the L4 and L22 riboprotein-coding genes, plus relevant segments of the three 23S rRNA genes. Capsular serotypes were detected by multiplex PCR. Sequence types (STs) were explored using multilocus sequence typing (MLST).Results. Among the 86 studied strains, 70 (81.4 %) were resistant to penicillin G. The prevalent serotypes were 19F, 14, 19A and 23F. We observed that the cMLSB phenotype (66/86, 76.7%) was the most common in these pneumococci. In addition, ermB was the most frequent resistance gene. No mutation in ribosomal protein L22 or L4 or 23S rRNA was detected. Overall, 44 STs were identified in this study, including 16 that were described for the first time. Resistance to lincomycin, tetracycline and trimethoprim/sulfamethoxazole was observed in 55 (64 %), 34 (39.5 %) and 31 (36 %) isolates, respectively. Furthermore, an increase in fluoroquinolone use in particular may lead to the emergence of levofloxacin-resistant strains. Multidrug resistance was observed in 83 isolates (96.5%). Three global antibiotic-resistant clones were identified: Denmark14 ST230, Portugal19F ST177 and Spain9V ST156.Conclusion. This study shows that macrolide resistance among S. pneumoniae isolated in Tunisia is mainly related to target site modification. Our observations demonstrate a high degree of genetic diversity and capsular types among strains resistant to macrolides.
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Affiliation(s)
- B Midouni Ayadi
- Aix Marseille University, IRD, SSA, Vitrome, IHU Mediterranee Infection, 19-21 Bd Jean Moulin, 13005 Marseille, France.,Microbiology Laboratory, A. Mami Hospital of Pneumology, UR12/SP18, Ariana, Tunisia.,Faculty of Sciences of Tunis - University of Tunis El Manar, Ariana, Tunisia
| | - E Mehiri
- Microbiology Laboratory, A. Mami Hospital of Pneumology, UR12/SP18, Ariana, Tunisia
| | - H Draoui
- Microbiology Laboratory, A. Mami Hospital of Pneumology, UR12/SP18, Ariana, Tunisia
| | - A Ghariani
- Microbiology Laboratory, A. Mami Hospital of Pneumology, UR12/SP18, Ariana, Tunisia
| | - L Essalah
- Microbiology Laboratory, A. Mami Hospital of Pneumology, UR12/SP18, Ariana, Tunisia
| | - D Raoult
- Aix Marseille University, IRD, Mephi, IHU Mediterranee Infection, 19-21 Bd Jean Moulin, 13005 Marseille, France
| | - P E Fournier
- Aix Marseille University, IRD, SSA, Vitrome, IHU Mediterranee Infection, 19-21 Bd Jean Moulin, 13005 Marseille, France
| | - L N Slim-Saidi
- Microbiology Laboratory, A. Mami Hospital of Pneumology, UR12/SP18, Ariana, Tunisia
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Retchless AC, Fox LM, Maiden MCJ, Smith V, Harrison LH, Glennie L, Harrison OB, Wang X. Toward a Global Genomic Epidemiology of Meningococcal Disease. J Infect Dis 2020; 220:S266-S273. [PMID: 31671445 DOI: 10.1093/infdis/jiz279] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Whole-genome sequencing (WGS) is invaluable for studying the epidemiology of meningococcal disease. Here we provide a perspective on the use of WGS for meningococcal molecular surveillance and outbreak investigation, where it helps to characterize pathogens, predict pathogen traits, identify emerging pathogens, and investigate pathogen transmission during outbreaks. Standardization of WGS workflows has facilitated their implementation by clinical and public health laboratories (PHLs), but further development is required for metagenomic shotgun sequencing and targeted sequencing to be widely available for culture-free characterization of bacterial meningitis pathogens. Internet-accessible servers are being established to support bioinformatics analysis, data management, and data sharing among PHLs. However, establishing WGS capacity requires investments in laboratory infrastructure and technical knowledge, which is particularly challenging in resource-limited regions, including the African meningitis belt. Strategic WGS implementation is necessary to monitor the molecular epidemiology of meningococcal disease in these regions and construct a global view of meningococcal disease epidemiology.
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Affiliation(s)
- Adam C Retchless
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - LeAnne M Fox
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Vincent Smith
- Meningitis Research Foundation, Bristol, United Kingdom
| | - Lee H Harrison
- Infectious Diseases Epidemiology Research Unit, University of Pittsburgh, Pittsburgh, Pennsylvania.,Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Linda Glennie
- Meningitis Research Foundation, Bristol, United Kingdom
| | - Odile B Harrison
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Xin Wang
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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Genomic profiling of antimicrobial resistance genes in clinical isolates of Salmonella Typhi from patients infected with Typhoid fever in India. Sci Rep 2020; 10:8299. [PMID: 32427945 PMCID: PMC7237477 DOI: 10.1038/s41598-020-64934-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 04/14/2020] [Indexed: 12/13/2022] Open
Abstract
The development of multidrug resistance in Salmonella enterica serovar Typhi currently forms a major roadblock for the treatment of enteric fever. This poses a major health problem in endemic regions and extends to travellers returning from developing countries. The appearance of fluoroquinolone non-susceptible strains has resulted in use of ceftriaxone as drug of choice with azithromycin being recommended for uncomplicated cases of typhoid fever. A recent sporadic instance of decreased susceptibility to the latest drug regime has necessitated a detailed analysis of antimicrobial resistance genes and possible relationships with their phenotypes to facilitate selection of future treatment regimes. Whole genome sequencing (WGS) was conducted for 133 clinical isolates from typhoid patients. Sequence output files were processed for pan-genome analysis and prediction of antimicrobial resistance genes. The WGS analyses disclosed the existence of fluoroquinolone resistance conferring mutations in gyrA, gyrB, parC and parE genes of all strains. Acquired resistance determining mechanisms observed included catA1 genes for chloramphenicol resistance, dfrA7, dfrA15, sul1 and sul2 for trimethoprim-sulfamethoxazole and blaTEM-116/blaTEM-1B genes for amoxicillin. No resistance determinants were found for ceftriaxone and cefixime. The genotypes were further correlated with their respective phenotypes for chloramphenicol, ampicillin, co-trimoxazole, ciprofloxacin and ceftriaxone. A high correlation was observed between genotypes and phenotypes in isolates of S. Typhi. The pan-genome analysis revealed that core genes were enriched in metabolic functions and accessory genes were majorly implicated in pathogenesis and antimicrobial resistance. The pan-genome of S. Typhi appears to be closed (Bpan = 0.09) as analysed by Heap’s law. Simpson’s diversity index of 0.51 showed a lower level of genetic diversity among isolates of S. Typhi. Overall, this study augments the present knowledge that WGS can help predict resistance genotypes and eventual correlation with phenotypes, enabling the chance to spot AMR determinants for fast diagnosis and prioritize antibiotic use directly from sequence.
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Abstract
Antimicrobial resistance is a global concern, and prudent use of antibiotics is essential to preserve the current armamentarium of effective drugs. Acute respiratory tract infection is the most common reason for antibiotic prescription in adults. In particular, community-acquired pneumonia poses a significant health challenge and economic burden globally, especially in the current landscape of a dense and aging population. By updating the knowledge on the common antimicrobial-resistant pathogens in community-acquired respiratory tract infections, their prevalence, and resistance may pave the way to enhancing appropriate antibiotic use in the ambulatory and health care setting.
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46
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Colijn C, Corander J, Croucher NJ. Designing ecologically optimized pneumococcal vaccines using population genomics. Nat Microbiol 2020; 5:473-485. [PMID: 32015499 PMCID: PMC7614922 DOI: 10.1038/s41564-019-0651-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 12/03/2019] [Indexed: 12/14/2022]
Abstract
Streptococcus pneumoniae (the pneumococcus) is a common nasopharyngeal commensal that can cause invasive pneumococcal disease (IPD). Each component of current protein-polysaccharide conjugate vaccines (PCVs) generally induces immunity specific to one of the approximately 100 pneumococcal serotypes, and typically eliminates it from carriage and IPD through herd immunity. Overall carriage rates remain stable owing to replacement by non-PCV serotypes. Consequently, the net change in IPD incidence is determined by the relative invasiveness of the pre- and post-PCV-carried pneumococcal populations. In the present study, we identified PCVs expected to minimize the post-vaccine IPD burden by applying Bayesian optimization to an ecological model of serotype replacement that integrated epidemiological and genomic data. We compared optimal formulations for reducing infant-only or population-wide IPD, and identified potential benefits to including non-conserved pneumococcal carrier proteins. Vaccines were also devised to minimize IPD resistant to antibiotic treatment, despite the ecological model assuming that resistance levels in the carried population would be preserved. We found that expanding infant-administered PCV valency is likely to result in diminishing returns, and that complementary pairs of infant- and adult-administered vaccines could be a superior strategy. PCV performance was highly dependent on the circulating pneumococcal population, further highlighting the advantages of a diversity of anti-pneumococcal vaccination strategies.
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Affiliation(s)
- Caroline Colijn
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada.
- Department of Mathematics, Imperial College London, London, UK.
| | - Jukka Corander
- Department of Biostatistics, University of Oslo, Oslo, Norway
- Helsinki Institute of Information Technology, Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
- Parasites & Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Nicholas J Croucher
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
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Fuzi M, Rodriguez Baño J, Toth A. Global Evolution of Pathogenic Bacteria With Extensive Use of Fluoroquinolone Agents. Front Microbiol 2020; 11:271. [PMID: 32158437 PMCID: PMC7052298 DOI: 10.3389/fmicb.2020.00271] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 02/06/2020] [Indexed: 12/11/2022] Open
Abstract
It is well-established that the spread of many multidrug-resistant (MDR) bacteria is predominantly clonal. Interestingly the international clones/sequence types (STs) of most pathogens emerged and disseminated during the last three decades. Strong experimental evidence from multiple laboratories indicate that diverse fitness cost associated with high-level resistance to fluoroquinolones contributed to the selection and promotion of the international clones/STs of hospital-associated methicillin-resistant Staphylococcus aureus (HA-MRSA), extended-spectrum β-lactamase-(ESBL)-producing Klebsiella pneumoniae, ESBL-producing Escherichia coli and Clostridioides difficile. The overwhelming part of the literature investigating the epidemiology of the pathogens as a function of fluoroquinolone use remain in concordence with these findings. Moreover, recent in vitro data clearly show the potential of fluoroquinolone exposure to shape the clonal evolution of Salmonella Enteritidis. The success of the international clones/STs in all these species was linked to the strains' unique ability to evolve multiple energetically beneficial gyrase and topoisomerase IV mutations conferring high-level resistance to fluorquinolones and concomittantly permitting the acquisition of an extra resistance gene load without evoking appreciable fitness cost. Furthermore, by analyzing the clonality of multiple species, the review highlights, that in environments under high antibiotic exposure virulence factors play only a subsidiary role in the clonal dynamics of bacteria relative to multidrug-resistance coupled with favorable fitness (greater speed of replication). Though other groups of antibiotics should also be involved in selecting clones of bacterial pathogens the role of fluoroquinolones due to their peculiar fitness effect remains unique. It is suggested that probably no bacteria remain immune to the influence of fluoroquinolones in shaping their evolutionary dynamics. Consequently a more judicious use of fluoroquinolones, attuned to the proportion of international clone/ST isolates among local pathogens, would not only decrease resistance rates against this group of antibiotics but should also ameliorate the overall antibiotic resistance landscape.
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Affiliation(s)
- Miklos Fuzi
- Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary
| | - Jesus Rodriguez Baño
- Unit of Infectious Diseases, Clinical Microbiology and Preventive Medicine, Department of Medicine, Hospital Universitario Virgen Macarena, University of Seville - Biomedicine Institute of Seville (IBiS), Seville, Spain
| | - Akos Toth
- Department of Bacteriology, Mycology and Parasitology, National Public Health Center, Budapest, Hungary
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Armstrong GL, MacCannell DR, Taylor J, Carleton HA, Neuhaus EB, Bradbury RS, Posey JE, Gwinn M. Pathogen Genomics in Public Health. N Engl J Med 2019; 381:2569-2580. [PMID: 31881145 PMCID: PMC7008580 DOI: 10.1056/nejmsr1813907] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Rapid advances in DNA sequencing technology ("next-generation sequencing") have inspired optimism about the potential of human genomics for "precision medicine." Meanwhile, pathogen genomics is already delivering "precision public health" through more effective investigations of outbreaks of foodborne illnesses, better-targeted tuberculosis control, and more timely and granular influenza surveillance to inform the selection of vaccine strains. In this article, we describe how public health agencies have been adopting pathogen genomics to improve their effectiveness in almost all domains of infectious disease. This momentum is likely to continue, given the ongoing development in sequencing and sequencing-related technologies.
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Affiliation(s)
- Gregory L Armstrong
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Duncan R MacCannell
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Jill Taylor
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Heather A Carleton
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Elizabeth B Neuhaus
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Richard S Bradbury
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - James E Posey
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Marta Gwinn
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
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Feucherolles M, Cauchie HM, Penny C. MALDI-TOF Mass Spectrometry and Specific Biomarkers: Potential New Key for Swift Identification of Antimicrobial Resistance in Foodborne Pathogens. Microorganisms 2019; 7:E593. [PMID: 31766422 PMCID: PMC6955786 DOI: 10.3390/microorganisms7120593] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 11/18/2019] [Accepted: 11/19/2019] [Indexed: 01/16/2023] Open
Abstract
Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) is today the reference method for direct identification of microorganisms in diagnostic laboratories, as it is notably time- and cost-efficient. In the context of increasing cases of enteric diseases with emerging multi-drug resistance patterns, there is an urgent need to adopt an efficient workflow to characterize antimicrobial resistance (AMR). Current approaches, such as antibiograms, are time-consuming and directly impact the "patient-physician" workflow. Through this mini-review, we summarize how the detection of specific patterns by MALDI-TOF MS, as well as bioinformatics, become more and more essential in research, and how these approaches will help diagnostics in the future. Along the same lines, the idea to export more precise biomarker identification steps by MALDI-TOF(/TOF) MS data towards AMR identification pipelines is discussed. The study also critically points out that there is currently still a lack of research data and knowledge on different foodborne pathogens as well as several antibiotics families such as macrolides and quinolones, and many questions are still remaining. Finally, the innovative combination of whole-genome sequencing and MALDI-TOF MS could be soon the future for diagnosis of antimicrobial resistance in foodborne pathogens.
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Affiliation(s)
- Maureen Feucherolles
- Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN) Department, 41 rue du Brill, 4422 Belvaux, Luxembourg;
- Faculté des Sciences, de la Technologie et de la Communication (FSTC), Doctoral School in Science and Engineering (DSSE), University of Luxembourg, 2 avenue de l’Université, 4365 Esch-sur-Alzette, Luxembourg
| | - Henry-Michel Cauchie
- Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN) Department, 41 rue du Brill, 4422 Belvaux, Luxembourg;
| | - Christian Penny
- Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN) Department, 41 rue du Brill, 4422 Belvaux, Luxembourg;
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50
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Groves N, Sheppard CL, Litt D, Rose S, Silva A, Njoku N, Rodrigues S, Amin-Chowdhury Z, Andrews N, Ladhani S, Fry NK. Evolution of Streptococcus pneumoniae Serotype 3 in England and Wales: A Major Vaccine Evader. Genes (Basel) 2019; 10:genes10110845. [PMID: 31731573 PMCID: PMC6896183 DOI: 10.3390/genes10110845] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 10/18/2019] [Accepted: 10/22/2019] [Indexed: 11/30/2022] Open
Abstract
Despite its inclusion in pneumococcal conjugate vaccine 13 (PCV13), Streptococcus pneumoniae serotype 3 remains a major cause of invasive pneumococcal disease in England and Wales. Previous studies have indicated that there are distinct lineages within serotype 3 clonal complex 180 and the clade distributions have shifted in recent years with the emergence of clade II. We undertook whole genome sequencing and genomic analysis of 616 serotype 3 isolates from England and Wales between 2003 and 2018, including invasive and carriage isolates. Our investigations showed that clade II has expanded since 2014 and now represents 50% of serotype 3 invasive pneumococcal disease (IPD) isolates in England and Wales. Genomic analysis of antibiotic resistance and protein antigen genes showed that distinct profiles are present within the clades which could account for the recent emergence of this clade. This investigation highlights the importance and utility of routine whole genome sequencing and its ability to identify new and emerging variation at the single nucleotide level which informs surveillance and will impact future vaccine development.
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Affiliation(s)
- Natalie Groves
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
- Correspondence:
| | - Carmen L. Sheppard
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
| | - David Litt
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
| | - Samuel Rose
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
| | - Ana Silva
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
| | - Nina Njoku
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
| | - Sofia Rodrigues
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
| | - Zahin Amin-Chowdhury
- Immunisation and Countermeasures, Public Health England–National Infection Service, London NW9 5EQ, UK; (Z.A.-C.); (S.L.)
| | - Nicholas Andrews
- Statistics, Modelling and Economics, Public Health England–National Infection Service, London NW9 5EQ, UK;
| | - Shamez Ladhani
- Immunisation and Countermeasures, Public Health England–National Infection Service, London NW9 5EQ, UK; (Z.A.-C.); (S.L.)
| | - Norman K. Fry
- Vaccine Preventable Bacteria Section, Public Health England–National Infection Service, London NW9 5EQ, UK; (C.L.S.); (D.L.); (S.R.); (A.S.); (N.N.); (S.R.); (N.K.F.)
- Immunisation and Countermeasures, Public Health England–National Infection Service, London NW9 5EQ, UK; (Z.A.-C.); (S.L.)
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