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Sia SB, Ablola FB, Lagrada ML, Olorosa AM, Gayeta JM, Limas MT, Jamoralin MC, Macaranas PKV, Espiritu HGO, Borlasa JJB, Villamin EAS, Alea MCG, Guia JEV. Epidemiology and antimicrobial resistance profile of invasive non-typhoidal Salmonella from the Philippines Antimicrobial Resistance Surveillance Program, 2014-2018. Western Pac Surveill Response J 2023; 14:1-7. [PMID: 37955029 PMCID: PMC10632095 DOI: 10.5365/wpsar.2023.14.1030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023] Open
Abstract
Objective The epidemiology of invasive non-typhoidal Salmonella (iNTS) in the Philippines is not well elaborated. The present study describes the serotype distribution and antimicrobial susceptibility patterns of iNTS in the Philippines from 2014 to 2018. Methods Invasive NTS isolates were collected through the Department of Health's Antimicrobial Resistance Surveillance Program (ARSP). The identification of the isolates was confirmed using automated (Vitek®, bioMérieux, Marcy l'Étoile, France) and conventional methods. The isolates were serotyped using the slide agglutination method, and susceptibility testing was performed using Clinical and Laboratory Standards Institute guidelines. Demographic data were collected from the ARSP database. Results There were 138 isolates collected from human invasive specimens with 97.8% from blood samples. The most common serotypes were Salmonella Enteritidis (n = 84, 60.9%) and Salmonella Typhimurium (n = 18, 13.0%). Most of the isolates were from males (n = 88, 63.8%) and from the 0-5-year age group (n = 61, 44.2%). The proportions of iNTS isolates resistant to first-line antibiotics were as follows: ampicillin (23.2%), chloramphenicol (9.6%), ciprofloxacin (8.7%), ceftriaxone (2.2%) and trimethoprim-sulfamethoxazole (8.8%). The proportion of isolates with multidrug resistance was 13.0% (18/138) with the most common resistance profile being resistance to ampicillin-chloramphenicol-ciprofloxacin from Salmonella Enteritidis isolates (n = 5). Discussion Resistance to first-line antibiotics limits the therapeutic choices for Salmonella infection. Relevant local antimicrobial resistance data on iNTS may support appropriate empiric therapy among vulnerable populations.
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Affiliation(s)
- Sonia B Sia
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
- These authors contributed equally
| | - Ferissa B Ablola
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
- These authors contributed equally
| | - Marietta L Lagrada
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Agnettah M Olorosa
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - June M Gayeta
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Marilyn T Limas
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Manuel C Jamoralin
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | | | | | | | | | - Ma Cecilia G Alea
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
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Lagrada ML, Argimón S, Borlasa JB, Abad JP, Gayeta JM, Masim ML, Olorosa AM, Cohen V, Jeffrey B, Abudahab K, Sia SB, Hufano CM, Stelling J, Holden MTG, Aanensen DM, Carlos CC. Genomic surveillance of Salmonella spp. in the Philippines during 2013-2014. Trans R Soc Trop Med Hyg 2022; 116:1202-1213. [PMID: 35999186 PMCID: PMC9717386 DOI: 10.1093/trstmh/trac080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/08/2022] [Accepted: 08/04/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Increasing antimicrobial resistance (AMR) in Salmonella has been observed in the Philippines. We aimed to characterise the population and AMR mechanisms of Salmonella with whole genome sequencing (WGS) and compare it with laboratory surveillance methods. METHODS The serotype, multilocus sequence type, AMR genes and relatedness between isolates were determined from the genomes of 148 Salmonella Typhi (S. Typhi) and 65 non-typhoidal Salmonella (NTS) collected by the Antimicrobial Resistance Surveillance Program during 2013-2014. Genotypic serotypes and AMR prediction were compared with phenotypic data. RESULTS AMR rates in S. Typhi were low, with sparse acquisition of mutations associated with reduced susceptibility to fluoroquinolones or extended-spectrum beta-lactamases (ESBL) genes. By contrast, 75% of NTS isolates were insusceptible to at least one antimicrobial, with more than half carrying mutations and/or genes linked to fluoroquinolone resistance. ESBL genes were detected in five genomes, which also carried other AMR determinants. The population of S. Typhi was dominated by likely endemic genotype 3.0, which caused a putative local outbreak. The main NTS clades were global epidemic S. Enteritidis ST11 and S. Typhimurium monophasic variant (I,4,[5],12: i: -) ST34. CONCLUSION We provide the first genomic characterisation of Salmonella from the Philippines and evidence of WGS utility for ongoing surveillance.
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Affiliation(s)
| | - Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK
| | - Janice B Borlasa
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - Jaywardeen P Abad
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - June M Gayeta
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - Melissa L Masim
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - Agnettah M Olorosa
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - Victoria Cohen
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK
| | - Benjamin Jeffrey
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK
| | - Khalil Abudahab
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK
| | - Sonia B Sia
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - Charmian M Hufano
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
| | - John Stelling
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK
| | - Celia C Carlos
- Department of Health, Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Philippines
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Carlos CC, Masim MAL, Lagrada ML, Gayeta JM, Macaranas PKV, Sia SB, Facun MAM, Palarca JFC, Olorosa AM, Cueno GAC, Abrudan M, Abudahab K, Argimón S, Kekre M, Underwood A, Stelling J, Aanensen DM. Genome Sequencing Identifies Previously Unrecognized Klebsiella pneumoniae Outbreaks in Neonatal Intensive Care Units in the Philippines. Clin Infect Dis 2021; 73:S316-S324. [PMID: 34850834 PMCID: PMC8634409 DOI: 10.1093/cid/ciab776] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Klebsiella pneumoniae is a critically important pathogen in the Philippines. Isolates are commonly resistant to at least 2 classes of antibiotics, yet mechanisms and spread of its resistance are not well studied. METHODS A retrospective sequencing survey was performed on carbapenem-, extended spectrum beta-lactam-, and cephalosporin-resistant Klebsiella pneumoniae isolated at 20 antimicrobial resistance (AMR) surveillance sentinel sites from 2015 through 2017. We characterized 259 isolates using biochemical methods, antimicrobial susceptibility testing, and whole-genome sequencing (WGS). Known AMR mechanisms were identified. Potential outbreaks were investigated by detecting clusters from epidemiologic, phenotypic, and genome-derived data. RESULTS Prevalent AMR mechanisms detected include blaCTX-M-15 (76.8%) and blaNDM-1 (37.5%). An epidemic IncFII(Yp) plasmid carrying blaNDM-1 was also detected in 46 isolates from 6 sentinel sites and 14 different sequence types (STs). This plasmid was also identified as the main vehicle of carbapenem resistance in 2 previously unrecognized local outbreaks of ST348 and ST283 at 2 different sentinel sites. A third local outbreak of ST397 was also identified but without the IncFII(Yp) plasmid. Isolates in each outbreak site showed identical STs and K- and O-loci, and similar resistance profiles and AMR genes. All outbreak isolates were collected from blood of children aged < 1 year. CONCLUSION WGS provided a better understanding of the epidemiology of multidrug resistant Klebsiella in the Philippines, which was not possible with only phenotypic and epidemiologic data. The identification of 3 previously unrecognized Klebsiella outbreaks highlights the utility of WGS in outbreak detection, as well as its importance in public health and in implementing infection control programs.
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Affiliation(s)
- Celia C Carlos
- Research Institute for Tropic al Medicine, Muntinlupa, the Philippines
| | | | | | - June M Gayeta
- Research Institute for Tropic al Medicine, Muntinlupa, the Philippines
| | | | - Sonia B Sia
- Research Institute for Tropic al Medicine, Muntinlupa, the Philippines
| | | | | | | | | | - Monica Abrudan
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Khalil Abudahab
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Mihir Kekre
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Anthony Underwood
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Brigham and Women’s Hospital, Boston, MA, USA
| | | | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Centre for Genomic Pathogen Surveillance, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
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Afolayan AO, Bernal JF, Gayeta JM, Masim ML, Shamanna V, Abrudan M, Abudahab K, Argimón S, Carlos CC, Sia S, Ravikumar KL, Okeke IN, Donado-Godoy P, Aanensen DM, Underwood A. Overcoming Data Bottlenecks in Genomic Pathogen Surveillance. Clin Infect Dis 2021; 73:S267-S274. [PMID: 34850839 PMCID: PMC8634317 DOI: 10.1093/cid/ciab785] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Performing whole genome sequencing (WGS) for the surveillance of antimicrobial resistance offers the ability to determine not only the antimicrobials to which rates of resistance are increasing, but also the evolutionary mechanisms and transmission routes responsible for the increase at local, national, and global scales. To derive WGS-based outputs, a series of processes are required, beginning with sample and metadata collection, followed by nucleic acid extraction, library preparation, sequencing, and analysis. Throughout this pathway there are many data-related operations required (informatics) combined with more biologically focused procedures (bioinformatics). For a laboratory aiming to implement pathogen genomics, the informatics and bioinformatics activities can be a barrier to starting on the journey; for a laboratory that has already started, these activities may become overwhelming. Here we describe these data bottlenecks and how they have been addressed in laboratories in India, Colombia, Nigeria, and the Philippines, as part of the National Institute for Health Research Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance. The approaches taken include the use of reproducible data parsing pipelines and genome sequence analysis workflows, using technologies such as Data-flo, the Nextflow workflow manager, and containerization of software dependencies. By overcoming barriers to WGS implementation in countries where genome sampling for some species may be underrepresented, a body of evidence can be built to determine the concordance of antimicrobial sensitivity testing and genome-derived resistance, and novel high-risk clones and unknown mechanisms of resistance can be discovered.
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Affiliation(s)
- Ayorinde O Afolayan
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Oyo State, Nigeria
| | - Johan Fabian Bernal
- Colombian Integrated Program for Antimicrobial Resistance Surveillance, Centro de Investigatión Tibaitatá, Corporación Colombiana de Investigación Agropecuaria, Tibaitatá, Mosquera, Cundinamarca, Colombia
| | - June M Gayeta
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Melissa L Masim
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Varun Shamanna
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bengaluru, India
| | - Monica Abrudan
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Khalil Abudahab
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Celia C Carlos
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Sonia Sia
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Kadahalli L Ravikumar
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bengaluru, India
| | - Iruka N Okeke
- The NIHR Global Health Research Unit for the Genomic Surveillance of Antimicrobial Resistance
| | - Pilar Donado-Godoy
- Colombian Integrated Program for Antimicrobial Resistance Surveillance, Centro de Investigatión Tibaitatá, Corporación Colombiana de Investigación Agropecuaria, Tibaitatá, Mosquera, Cundinamarca, Colombia
| | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Anthony Underwood
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
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Chilam J, Argimón S, Limas MT, Masim ML, Gayeta JM, Lagrada ML, Olorosa AM, Cohen V, Hernandez LT, Jeffrey B, Abudahab K, Hufano CM, Sia SB, Holden MT, Stelling J, Aanensen DM, Carlos CC. Genomic surveillance of Acinetobacter baumannii in the Philippines, 2013-2014. Western Pac Surveill Response J 2021; 12:1-15. [PMID: 35251744 PMCID: PMC8873916 DOI: 10.5365/wpsar.2021.12.4.863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE Acinetobacter baumannii is an opportunistic nosocomial pathogen that has increasingly become resistant to carbapenems worldwide. In the Philippines, rates of carbapenem resistance and multidrug resistance are above 50%. We undertook a genomic study of carbapenem-resistant A. baumannii in the Philippines to characterize the population diversity and antimicrobial resistance mechanisms. METHODS We sequenced the whole genomes of 117 A. baumannii isolates recovered by 16 hospitals in the Philippines between 2013 and 2014. From the genome sequences, we determined the multilocus sequence type, presence of acquired determinants of antimicrobial resistance and relatedness between isolates. We also compared the phenotypic and genotypic resistance results. RESULTS Carbapenem resistance was mainly explained by acquisition of the class-D β-lactamase gene blaOXA-23. The concordance between phenotypic and genotypic resistance to imipenem was 98.15%, and it was 94.97% overall for the seven antibiotics analysed. Twenty-two different sequence types were identified, including 7 novel types. The population was dominated by the high-risk international clone 2 (i.e. clonal complex 92), in particular by ST195 and ST208 and their single locus variants. Using whole-genome sequencing, we identified local clusters representing potentially undetected nosocomial outbreaks, as well as multihospital clusters that indicated interhospital dissemination. Comparison with global genomes suggested that the establishment of carbapenem-resistant international clone 2 in the Philippines is likely the result of clonal expansion and geographical dissemination, and at least partly explained by inadequate hospital infection control and prevention. DISCUSSION This is the first extensive genomic study of carbapenem-resistant A. baumannii in the Philippines, and it underscores the importance of hospital infection control and prevention measures to contain high-risk clones.
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Affiliation(s)
- Jeremiah Chilam
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
- These authors contributed equally to this work
| | - Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England
- These authors contributed equally to this work
| | - Marilyn T. Limas
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - Melissa L. Masim
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - June M. Gayeta
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - Marietta L. Lagrada
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - Agnettah M. Olorosa
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - Victoria Cohen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England
| | - Lara T. Hernandez
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - Benjamin Jeffrey
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England
| | - Khalil Abudahab
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England
| | - Charmian M. Hufano
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | - Sonia B. Sia
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
| | | | | | - David M. Aanensen
- Big Data Institute, University of Oxford, Oxford, England
- These authors contributed equally to this work
| | - Celia C. Carlos
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
- These authors contributed equally to this work
| | - on behalf of the Philippines Antimicrobial Resistance Surveillance Program
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England
- University of St Andrews School of Medicine, St Andrews, Scotland
- Brigham and Women’s Hospital, Boston, MA, USA
- Big Data Institute, University of Oxford, Oxford, England
- These authors contributed equally to this work
- These authors contributed equally to this work
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6
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Masim ML, Argimón S, Espiritu HO, Magbanua MA, Lagrada ML, Olorosa AM, Cohen V, Gayeta JM, Jeffrey B, Abudahab K, Hufano CM, Sia SB, Holden MT, Stelling J, Aanensen DM, Carlos CC. Genomic surveillance of methicillin-resistant Staphylococcus aureus in the Philippines,
2013-2014. Western Pac Surveill Response J 2021; 12:6-16. [PMID: 34094618 PMCID: PMC8143927 DOI: 10.5365/wpsar.2020.11.1.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) remains one of the leading causes of both nosocomial and community infections worldwide. In the Philippines, MRSA rates have remained above 50% since 2010, but resistance to other antibiotics, including vancomycin, is low. The MRSA burden can be partially attributed to pathogen-specific characteristics of the circulating clones, but little was known about the S. aureus clones circulating in the Philippines. We sequenced the whole genomes of 116 S. aureus isolates collected in 2013-2014 within the Antimicrobial Resistance Surveillance Program. The multilocus sequence type, spa type, SCCmec type, presence of antimicrobial resistance (AMR) determinants and virulence genes and relatedness between the isolates were all derived from the sequence data. The concordance between phenotypic and genotypic resistance was also determined. The MRSA population in the Philippines comprised a limited number of genetic clones, including several international epidemic clones, such as CC30-spa-t019-SCCmec-IV-PVL+, CC5-SCCmec-typeIV and ST239-spa-t030-SCCmec-typeIII. The CC30 genomes were related to the South-West Pacific clone but formed a distinct, diverse lineage, with evidence of global dissemination. We showed independent acquisition of resistance to sulfamethoxazole/trimethoprim in various locations and genetic clones but mostly in paediatric patients with invasive infections. The concordance between phenotypic and genotypic resistance was 99.68% overall for eight antibiotics in seven classes. We have made the first comprehensive genomic survey of S. aureus in the Philippines, which bridges the gap in genomic data from the Western Pacific Region and will constitute the genetic background for contextualizing prospective surveillance.
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Affiliation(s)
- Melissa L. Masim
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- These authors contributed equally to this work
| | - Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom of Great Britain and Northern Ireland
- These authors contributed equally to this work
| | - Holly O. Espiritu
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Mariane A. Magbanua
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Marietta L. Lagrada
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Agnettah M. Olorosa
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Victoria Cohen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom of Great Britain and Northern Ireland
| | - June M. Gayeta
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Benjamin Jeffrey
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom of Great Britain and Northern Ireland
| | - Khalil Abudahab
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom of Great Britain and Northern Ireland
| | - Charmian M. Hufano
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Sonia B. Sia
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Matthew T.G. Holden
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom of Great Britain and Northern Ireland
| | - John Stelling
- Brigham and Women’s Hospital, Boston (MA), United States of America
| | - David M. Aanensen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom of Great Britain and Northern Ireland
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom of Great Britain and Northern Ireland
- These authors contributed equally to this work
| | - Celia C. Carlos
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- These authors contributed equally to this work
| | - on behalf of the Philippines Antimicrobial Resistance Surveillance Program
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom of Great Britain and Northern Ireland
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom of Great Britain and Northern Ireland
- Brigham and Women’s Hospital, Boston (MA), United States of America
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom of Great Britain and Northern Ireland
- These authors contributed equally to this work
- These authors contributed equally to this work
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7
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Jamoralin MC, Argimón S, Lagrada ML, Villamin AS, Masim ML, Gayeta JM, Boehme KD, Olorosa AM, Sia SB, Hufano CM, Cohen V, Hernandez LT, Jeffrey B, Abudahab K, Stelling J, Holden MTG, Aanensenb DM, Carlosa CC. Genomic surveillance of Neisseria gonorrhoeae in the Philippines, 2013-2014. Western Pac Surveill Response J 2021; 12:17-25. [PMID: 34094619 PMCID: PMC8143934 DOI: 10.5365/wpsar.2020.11.1.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Antimicrobial-resistant Neisseria gonorrhoeae is a major threat to public health and is of particular concern in the Western Pacific Region, where the incidence of gonorrhoea is high. The Antimicrobial Resistance Surveillance Program (ARSP) has been capturing information on resistant gonorrhoea since 1996, but genomic epidemiology studies on this pathogen are lacking in the Philippines. We sequenced the whole genomes of 21 N. gonorrhoeae isolates collected in 2013-2014 by ARSP. The multilocus sequence type, multiantigen sequence type, presence of determinants of antimicrobial resistance and relatedness among the isolates were all derived from the sequence data. The concordance between phenotypic and genotypic resistance was also determined. Ten of 21 isolates were resistant to penicillin, ciprofloxacin and tetracycline, due mainly to the presence of the blaTEM gene, the S91F mutation in the gyrA gene and the tetM gene, respectively. None of the isolates was resistant to ceftriaxone or cefixime. The concordance between phenotypic and genotypic resistance was 92.38% overall for five antibiotics in four classes. Despite the small number of isolates studied, they were genetically diverse, as shown by the sequence types, the N. gonorrhoeae multiantigen sequence typing types and the tree. Comparison with global genomes placed the Philippine genomes within global lineage A and led to the identification of an international transmission route. This first genomic survey of N. gonorrhoeae isolates collected by ARSP will be used to contextualize prospective surveillance. It highlights the importance of genomic surveillance in the Western Pacific and other endemic regions for understanding the spread of drug-resistant gonorrhoea worldwide.
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Affiliation(s)
- Manuel C Jamoralin
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
| | - Marietta L Lagrada
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Alfred S Villamin
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Melissa L Masim
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - June M Gayeta
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Karis D Boehme
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Agnettah M Olorosa
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Sonia B Sia
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Charmian M Hufano
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Victoria Cohen
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Lara T Hernandez
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Benjamin Jeffrey
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Khalil Abudahab
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - John Stelling
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - Matthew T G Holden
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
| | - David M Aanensenb
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, Philippines
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, England, United Kingdom
- Brigham and Women's Hospital, Boston (MA), USA
- University of St Andrews School of Medicine, St Andrews, Scotland, United Kingdom
- Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, England, United Kingdom
- These authors contributed equally to this work
- These authors contributed equally to this work
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8
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Argimón S, Masim MAL, Gayeta JM, Lagrada ML, Macaranas PKV, Cohen V, Limas MT, Espiritu HO, Palarca JC, Chilam J, Jamoralin MC, Villamin AS, Borlasa JB, Olorosa AM, Hernandez LFT, Boehme KD, Jeffrey B, Abudahab K, Hufano CM, Sia SB, Stelling J, Holden MTG, Aanensen DM, Carlos CC. Integrating whole-genome sequencing within the National Antimicrobial Resistance Surveillance Program in the Philippines. Nat Commun 2020; 11:2719. [PMID: 32483195 PMCID: PMC7264328 DOI: 10.1038/s41467-020-16322-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 04/25/2020] [Indexed: 12/15/2022] Open
Abstract
National networks of laboratory-based surveillance of antimicrobial resistance (AMR) monitor resistance trends and disseminate these data to AMR stakeholders. Whole-genome sequencing (WGS) can support surveillance by pinpointing resistance mechanisms and uncovering transmission patterns. However, genomic surveillance is rare in low- and middle-income countries. Here, we implement WGS within the established Antimicrobial Resistance Surveillance Program of the Philippines via a binational collaboration. In parallel, we characterize bacterial populations of key bug-drug combinations via a retrospective sequencing survey. By linking the resistance phenotypes to genomic data, we reveal the interplay of genetic lineages (strains), AMR mechanisms, and AMR vehicles underlying the expansion of specific resistance phenotypes that coincide with the growing carbapenem resistance rates observed since 2010. Our results enhance our understanding of the drivers of carbapenem resistance in the Philippines, while also serving as the genetic background to contextualize ongoing local prospective surveillance.
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Affiliation(s)
- Silvia Argimón
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK
| | - Melissa A L Masim
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - June M Gayeta
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Marietta L Lagrada
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Polle K V Macaranas
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Victoria Cohen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK
| | - Marilyn T Limas
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Holly O Espiritu
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Janziel C Palarca
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Jeremiah Chilam
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Manuel C Jamoralin
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Alfred S Villamin
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Janice B Borlasa
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Agnettah M Olorosa
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Lara F T Hernandez
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Karis D Boehme
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | - Benjamin Jeffrey
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK
| | - Khalil Abudahab
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK
| | - Charmian M Hufano
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
- St. Luke's Medical Center-Global City, Taguig, Metro Manila, The Philippines
| | - Sonia B Sia
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines
| | | | | | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK.
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| | - Celia C Carlos
- Antimicrobial Resistance Surveillance Reference Laboratory, Research Institute for Tropical Medicine, Muntinlupa, The Philippines.
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