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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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Smalls BL, Faith TD, Johnson H, Williams EM. Feasibility and preliminary data for a State-wide South Carolina Lupus Registry. Lupus 2021; 30:1300-1305. [PMID: 33957794 DOI: 10.1177/09612033211014591] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Systemic lupus erythematosus (SLE) or lupus is an autoimmune disorder whose cause and reason for disproportionate impact on minorities remains enigmatic. Furthermore, statistics describing lupus incidence and prevalence are outdated and often based on small samples. To begin to address this disparity this report describes preliminary data to be utilized in the development of a state-wide lupus registry in South Carolina. METHODS A prospective survey and retrospective data from the South Carolina Budget and Control Board Office of Research & Statistics were used to capture data pertaining to knowledge of lupus, prevalence, and access to lupus care. RESULTS Retrospective ORS data indicated there were 11,690 individuals living with lupus in 2014 with the average direct cost of $69,999.40 in medical care. Prospective surveys (N = 325), in over 16 locations in South Carolina, showed 31% knew someone with lupus, 16% had been diagnosed with lupus, and 50% did not know of a medical facility that treated lupus. CONCLUSION A lupus registry and repository will provide ongoing access for researchers on the impact of lupus on communities in South Carolina. Lupus is highly prevalent, but disproportionately represented in terms of patient information and participation in clinical trials, so it is also expected that this preliminary work will provide an ongoing process in which the medical community can better engage lupus patients.
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Affiliation(s)
- Brittany L Smalls
- Department of Family and Community Medicine, University of Kentucky, Lexington, KY, USA
| | - Trevor D Faith
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA
| | | | - Edith M Williams
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
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