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Delpy L, Astbury CC, Aenishaenslin C, Ruckert A, Penney TL, Wiktorowicz M, Ciss M, Benko R, Bordier M. Integrated surveillance systems for antibiotic resistance in a One Health context: a scoping review. BMC Public Health 2024; 24:1717. [PMID: 38937706 PMCID: PMC11210117 DOI: 10.1186/s12889-024-19158-6] [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: 12/13/2023] [Accepted: 06/14/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Antibiotic resistance (ABR) has emerged as a major threat to health. Properly informed decisions to mitigate this threat require surveillance systems that integrate information on resistant bacteria and antibiotic use in humans, animals, and the environment, in line with the One Health concept. Despite a strong call for the implementation of such integrated surveillance systems, we still lack a comprehensive overview of existing organizational models for integrated surveillance of ABR. To address this gap, we conducted a scoping review to characterize existing integrated surveillance systems for ABR. METHODS The literature review was conducted using the PRISMA guidelines. The selected integrated surveillance systems were assessed according to 39 variables related to their organization and functioning, the socio-economic and political characteristics of their implementation context, and the levels of integration reached, together with their related outcomes. We conducted two distinct, complementary analyses on the data extracted: a descriptive analysis to summarize the characteristics of the integrated surveillance systems, and a multiple-correspondence analysis (MCA) followed by a hierarchical cluster analysis (HCA) to identify potential typology for surveillance systems. RESULTS The literature search identified a total of 1330 records. After the screening phase, 59 references were kept from which 14 integrated surveillance systems were identified. They all operate in high-income countries and vary in terms of integration, both at informational and structural levels. The different systems combine information from a wide range of populations and commodities -in the human, animal and environmental domains, collection points, drug-bacterium pairs, and rely on various diagnostic and surveillance strategies. A variable level of collaboration was found for the governance and/or operation of the surveillance activities. The outcomes of integration are poorly described and evidenced. The 14 surveillance systems can be grouped into four distinct clusters, characterized by integration level in the two dimensions. The level of resources and regulatory framework in place appeared to play a major role in the establishment and organization of integrated surveillance. CONCLUSIONS This study suggests that operationalization of integrated surveillance for ABR is still not well established at a global scale, especially in low and middle-income countries and that the surveillance scope is not broad enough to obtain a comprehensive understanding of the complex dynamics of ABR to appropriately inform mitigation measures. Further studies are needed to better characterize the various integration models for surveillance with regard to their implementation context and evaluate the outcome of these models.
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Affiliation(s)
- Léo Delpy
- ASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France
- CIRAD, UMR ASTRE, Dakar, Senegal
- National Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal
| | - Chloe Clifford Astbury
- Global Food Systems & Policy Research, School of Global Health, York University, Toronto, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada
| | - Cécile Aenishaenslin
- Research Group On Epidemiology of Zoonoses and Public Health (GREZOSP), University of Montréal, Saint-Hyacinthe, Québec, Canada
- Centre de Recherche en Santé Publique de L'Université de Montréal Et du Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSS) du Centre-Sud-de-L'île-de-Montréal, Montréal, Québec, Canada
| | - Arne Ruckert
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Tarra L Penney
- Global Food Systems & Policy Research, School of Global Health, York University, Toronto, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada
| | - Mary Wiktorowicz
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada
- School of Global Health, York University, Toronto, Canada
| | - Mamadou Ciss
- National Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal
| | - Ria Benko
- Institute of Clinical Pharmacy, University of Szeged, Szeged, Hungary
| | - Marion Bordier
- ASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
- CIRAD, UMR ASTRE, Dakar, Senegal.
- National Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal.
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Franklin AM, Weller DL, Durso LM, Bagley M, Davis BC, Frye JG, Grim CJ, Ibekwe AM, Jahne MA, Keely SP, Kraft AL, McConn BR, Mitchell RM, Ottesen AR, Sharma M, Strain EA, Tadesse DA, Tate H, Wells JE, Williams CF, Cook KL, Kabera C, McDermott PF, Garland JL. A one health approach for monitoring antimicrobial resistance: developing a national freshwater pilot effort. FRONTIERS IN WATER 2024; 6:10.3389/frwa.2024.1359109. [PMID: 38855419 PMCID: PMC11157689 DOI: 10.3389/frwa.2024.1359109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Antimicrobial resistance (AMR) is a world-wide public health threat that is projected to lead to 10 million annual deaths globally by 2050. The AMR public health issue has led to the development of action plans to combat AMR, including improved antimicrobial stewardship, development of new antimicrobials, and advanced monitoring. The National Antimicrobial Resistance Monitoring System (NARMS) led by the United States (U.S) Food and Drug Administration along with the U.S. Centers for Disease Control and U.S. Department of Agriculture has monitored antimicrobial resistant bacteria in retail meats, humans, and food animals since the mid 1990's. NARMS is currently exploring an integrated One Health monitoring model recognizing that human, animal, plant, and environmental systems are linked to public health. Since 2020, the U.S. Environmental Protection Agency has led an interagency NARMS environmental working group (EWG) to implement a surface water AMR monitoring program (SWAM) at watershed and national scales. The NARMS EWG divided the development of the environmental monitoring effort into five areas: (i) defining objectives and questions, (ii) designing study/sampling design, (iii) selecting AMR indicators, (iv) establishing analytical methods, and (v) developing data management/analytics/metadata plans. For each of these areas, the consensus among the scientific community and literature was reviewed and carefully considered prior to the development of this environmental monitoring program. The data produced from the SWAM effort will help develop robust surface water monitoring programs with the goal of assessing public health risks associated with AMR pathogens in surface water (e.g., recreational water exposures), provide a comprehensive picture of how resistant strains are related spatially and temporally within a watershed, and help assess how anthropogenic drivers and intervention strategies impact the transmission of AMR within human, animal, and environmental systems.
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Affiliation(s)
- Alison M. Franklin
- United States (U.S.) Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Daniel L. Weller
- U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Lisa M. Durso
- U.S. Department of Agriculture, Agricultural Research Service (USDA, ARS), Agroecosystem Management Research, Lincoln, NE, United States
| | - Mark Bagley
- United States (U.S.) Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Benjamin C. Davis
- United States (U.S.) Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Jonathan G. Frye
- USDA ARS, U.S. National Poultry Research Center, Poultry Microbiological Safety and Processing Research Unit, Athens, GA, United States
| | - Christopher J. Grim
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD, United States
| | - Abasiofiok M. Ibekwe
- USDA, ARS, Agricultural Water Efficiency and Salinity Research Unit, Riverside, CA, United States
| | - Michael A. Jahne
- United States (U.S.) Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Scott P. Keely
- United States (U.S.) Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Autumn L. Kraft
- Oak Ridge Institute for Science and Education, USDA, ARS, Beltsville, MD, United States
| | - Betty R. McConn
- Oak Ridge Institute for Science and Education, USDA, ARS, Beltsville, MD, United States
| | - Richard M. Mitchell
- Environmental Protection Agency, Office of Water, Washington, DC, United States
| | - Andrea R. Ottesen
- Center for Veterinary Medicine, National Antimicrobial Resistance Monitoring System (NARMS), U.S. Food and Drug Administration, Laurel, MD, United States
| | - Manan Sharma
- USDA, ARS Environmental Microbial and Food Safety Laboratory, Beltsville, MD, United States
| | - Errol A. Strain
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD, United States
| | - Daniel A. Tadesse
- Center for Veterinary Medicine, National Antimicrobial Resistance Monitoring System (NARMS), U.S. Food and Drug Administration, Laurel, MD, United States
| | - Heather Tate
- Center for Veterinary Medicine, National Antimicrobial Resistance Monitoring System (NARMS), U.S. Food and Drug Administration, Laurel, MD, United States
| | - Jim E. Wells
- USDA, ARS, U.S. Meat Animal Research Center, Meat Safety and Quality, Clay Center, NE, United States
| | - Clinton F. Williams
- USDA, ARS, US Arid-Land Agricultural Research Center, Maricopa, AZ, United States
| | - Kim L. Cook
- USDA, ARS Nutrition, Food Safety and Quality National Program Staff, Beltsville, MD, United States
| | - Claudine Kabera
- Center for Veterinary Medicine, National Antimicrobial Resistance Monitoring System (NARMS), U.S. Food and Drug Administration, Laurel, MD, United States
| | - Patrick F. McDermott
- Center for Veterinary Medicine, National Antimicrobial Resistance Monitoring System (NARMS), U.S. Food and Drug Administration, Laurel, MD, United States
| | - Jay L. Garland
- United States (U.S.) Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
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Molina A, Thye T, Muñoz-Vargas L, Zamora-Sanabria R, Chercos DH, Hernández-Rojas R, Robles N, Aguilar D, May J, Dekker D. Molecular characterization of antibiotic resistant Salmonella enterica across the poultry production chain in Costa Rica: A cross-sectional study. Int J Food Microbiol 2024; 416:110663. [PMID: 38503221 DOI: 10.1016/j.ijfoodmicro.2024.110663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 02/07/2024] [Accepted: 03/04/2024] [Indexed: 03/21/2024]
Abstract
Antibiotic resistant Salmonella enterica are on the increase, worldwide. Given the scarcity of data, this study aimed to investigate its occurrence, virulence, and antibiotic resistance in Costa Rica's food chain. In total, 65 chicken meat- and 171 chicken caecal samples were collected and examined for Salmonella. High frequencies of Salmonella were found in chicken meat (58.5 %, n/N = 38/65) and poultry farms (38.0 %, n/N = 65/171). The majority of Salmonella from chicken meat (89.5 %, n/N = 34/38) and caecum samples (93.6 %, n/N = 59/63) exhibited multidrug resistance (MDR). Serovar Infantis was the most prevalent (94 %, n/N = 67/71), followed by serovars Anatum and Kentucky (3 %, n/N = 2/71). A pESI-like plasmid (92 %, n/N = 65/71) containing virulence and resistance markers was found in S. Infantis. Given the high prevalence of MDR Salmonella, this study emphasizes the need to enhance surveillance systems for foodborne pathogens and antimicrobial resistance in Costa Rica's food production chain.
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Affiliation(s)
- Andrea Molina
- Escuela de Zootecnia, Universidad de Costa Rica, 11501-2060 Ciudad Universitaria Rodrigo Facio, San José, Costa Rica; Infectious Diseases Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine (BNITM), 20359 Hamburg, Germany.
| | - Thorsten Thye
- Infectious Diseases Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine (BNITM), 20359 Hamburg, Germany
| | - Lohendy Muñoz-Vargas
- Escuela de Medicina Veterinaria, Universidad Nacional, 304-3000 Heredia, Costa Rica
| | - Rebeca Zamora-Sanabria
- Escuela de Zootecnia, Universidad de Costa Rica, 11501-2060 Ciudad Universitaria Rodrigo Facio, San José, Costa Rica
| | - Daniel Haile Chercos
- Department of Implementation Research, One Health Bacteriology Group, Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg, Germany
| | | | - Noelia Robles
- Facultad de Microbiología, Universidad de Costa Rica, 11501-2060 Ciudad Universitaria Rodrigo Facio, San José, Costa Rica
| | - Daniela Aguilar
- Facultad de Microbiología, Universidad de Costa Rica, 11501-2060 Ciudad Universitaria Rodrigo Facio, San José, Costa Rica
| | - Jürgen May
- Infectious Diseases Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine (BNITM), 20359 Hamburg, Germany; German Center for Infection Research (DZIF), Hamburg-Borstel-Luebeck-Riems, Germany; University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Denise Dekker
- Department of Implementation Research, One Health Bacteriology Group, Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg, Germany
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Mayito J, Kibombo D, Olaro C, Nabadda S, Guma C, Nabukenya I, Busuge A, Dhikusooka F, Andema A, Mukobi P, Onyachi N, Watmon B, Obbo S, Yayi A, Elima J, Barigye C, Nyeko FJ, Mugerwa I, Sekamatte M, Bazira J, Walwema R, Lamorde M, Kakooza F, Kajumbula H. Characterization of Antibiotic Resistance in Select Tertiary Hospitals in Uganda: An Evaluation of 2020 to 2023 Routine Surveillance Data. Trop Med Infect Dis 2024; 9:77. [PMID: 38668538 PMCID: PMC11053536 DOI: 10.3390/tropicalmed9040077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/02/2024] [Accepted: 03/05/2024] [Indexed: 04/29/2024] Open
Abstract
Antimicrobial resistance (AMR) is a public health concern in Uganda. We sought to conduct an extended profiling of AMR burden at selected Ugandan tertiary hospitals. We analyzed routine surveillance data collected between October 2020 and March 2023 from 10 tertiary hospitals. The analysis was stratified according to the hospital unit, age, gender, specimen type, and time. Up to 2754 isolates were recovered, primarily from pus: 1443 (52.4%); urine: 1035 (37.6%); and blood: 245 (8.9%). Most pathogens were Staphylococcus aureus, 1020 (37%), Escherichia coli, 808 (29.3%), and Klebsiella spp., 200 (7.3%). Only 28% of Escherichia coli and 42% of the other Enterobacterales were susceptible to ceftriaxone, while only 44% of Staphylococcus aureus were susceptible to methicillin (56% were MRSA). Enterococcus spp. susceptibility to vancomycin was 72%. The 5-24-year-old had 8% lower ampicillin susceptibility than the >65-year-old, while the 25-44-year-old had 8% lower ciprofloxacin susceptibility than the >65-year-old. The 0-4-year-old had 8% higher ciprofloxacin susceptibility. Only erythromycin susceptibility varied by sex, being higher in males. Escherichia coli ciprofloxacin susceptibility in blood (57%) was higher than in urine (39%) or pus (28%), as was ceftriaxone susceptibility in blood (44%) versus urine (34%) or pus (14%). Klebsiella spp. susceptibility to ciprofloxacin and meropenem decreased by 55% and 47%, respectively, during the evaluation period. During the same period, Escherichia coli ciprofloxacin susceptibility decreased by 40%, while Staphylococcus aureus gentamicin susceptibility decreased by 37%. Resistance was high across the Access and Watch antibiotic categories, varying with time, age, sex, specimen type, and hospital unit. Effective antimicrobial stewardship targeted at the critical AMR drivers is urgently needed.
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Affiliation(s)
- Jonathan Mayito
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Daniel Kibombo
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | | | | | | | - Immaculate Nabukenya
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Andrew Busuge
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Flavia Dhikusooka
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Alex Andema
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Peter Mukobi
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Nathan Onyachi
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Ben Watmon
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Stephen Obbo
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Alfred Yayi
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - James Elima
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Celestine Barigye
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | - Filbert J. Nyeko
- Regional Referral Hospital, Ministry of Health, Kampala P.O. Box 7272, Uganda; (A.A.); (P.M.)
| | | | | | - Joel Bazira
- Department of Microbiology, Mbarara University of Science and Technology, Mbarara P.O. Box 1410, Uganda
| | - Richard Walwema
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Mohammed Lamorde
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Francis Kakooza
- Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala P.O. Box 22418, Uganda; (D.K.); (A.B.)
| | - Henry Kajumbula
- Department of Microbiology, Makerere University College of Health Sciences, Kampala P.O. Box 7072, Uganda;
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Wu Y, Zeng Z. Antibiotic Residues, Antimicrobial Resistance and Intervention Strategies of Foodborne Pathogens. Antibiotics (Basel) 2024; 13:321. [PMID: 38666997 PMCID: PMC11047552 DOI: 10.3390/antibiotics13040321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/29/2024] Open
Abstract
The primary determinant of human health is undoubtedly safe food [...].
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Affiliation(s)
- Yongning Wu
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100021, China
- Research Unit of Food Safety (2019RU014), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zhenling Zeng
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China
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Abdelrahim A, Harrell E, Fedorka-Cray PJ, Jacob M, Thakur S. Phenotypic and Genotypic Characterizations of Antimicrobial-Resistant Escherichia coli Isolates from Diverse Retail Meat Samples in North Carolina During 2018-2019. Foodborne Pathog Dis 2024; 21:211-219. [PMID: 38197854 DOI: 10.1089/fpd.2023.0093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024] Open
Abstract
Surveillance of antimicrobial-resistant pathogens in U.S. retail meats is conducted to identify potential risks of foodborne illness. In this study, we conducted a phenotypic and genotypic analysis of Escherichia coli recovered from a diverse range of retail meat types during 2018-2019 in North Carolina. The investigation was conducted as part of the National Antimicrobial Resistance Monitoring System (NARMS). Retail meat sampling and E. coli isolation were performed in accordance with NARMS retail meat isolation protocols. We used the Sensititre™ broth microdilution system to determine phenotypic resistance to 14 antimicrobial agents and the Illumina next-generation sequencing platform for genotypic resistance profiling. The highest prevalence of E. coli isolates was found in ground turkey (n = 57, 42.9%) and chicken (n = 27, 20.3%), followed by ground beef (n = 25, 18.9%) and pork (n = 24, 18%). The isolates were divided into seven different phylogroups using the Clermont typing tool, with B1 (n = 59, 44.4%) and A (n = 39, 29.3%) being the most dominant, followed by B2 (n = 14, 10.5%), D (n = 7, 5.3%), F (n = 6, 4.5%), E (n = 3, 2.3%), and C (n = 2, 1.5%). Using multilocus sequence typing (MLST), 128 Sequence types (STs) were identified indicating high diversity. Phenotypic and genotypic resistance was observed toward aminoglycosides, sulfonamides, beta-lactams, macrolides, tetracyclines, phenicols, and fluoroquinolones. Ground turkey samples were more resistant to the panel of tested antimicrobials than chicken, beef, or pork (p < 0.05). All isolates were found to be susceptible to meropenem. A high percentage of turkey isolates (n = 16, 28%) were multidrug-resistant (MDR) compared with 18.5% of chicken (n = 5), 8.4% of pork (n = 2), and 8% of beef isolates (n = 2). This study highlights the benefit of surveillance to identify MDR E. coli for epidemiologic tracking and is a comprehensive report of the phenotypic and genotypic characterization of E. coli isolated from retail meats in North Carolina.
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Affiliation(s)
- Afaf Abdelrahim
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Erin Harrell
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Paula J Fedorka-Cray
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Megan Jacob
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Siddhartha Thakur
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
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Phu DH, Wongtawan T, Wintachai P, Nhung NT, Yen NTP, Carrique-Mas J, Turni C, Omaleki L, Blackall PJ, Thomrongsuwannakij T. Molecular characterization of Campylobacter spp. isolates obtained from commercial broilers and native chickens in Southern Thailand using whole genome sequencing. Poult Sci 2024; 103:103485. [PMID: 38335668 PMCID: PMC10869288 DOI: 10.1016/j.psj.2024.103485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 02/12/2024] Open
Abstract
Chickens are the primary reservoirs of Campylobacter spp., mainly C. jejuni and C. coli, that cause human bacterial gastrointestinal infections. However, genomic characteristics and antimicrobial resistance of Campylobacter spp. in low- to middle-income countries need more comprehensive exploration. This study aimed to characterize 21 C. jejuni and 5 C. coli isolates from commercial broilers and native chickens using whole genome sequencing and compare them to 28 reference Campylobacter sequences. Among the 26 isolates, 13 sequence types (ST) were identified in C. jejuni and 5 ST in C. coli. The prominent ST was ST 2274 (5 isolates, 19.2%), followed by ST 51, 460, 2409, and 6455 (2 isolates in each ST, 7.7%), while all remaining ST (464, 536, 595, 2083, 6736, 6964, 8096, 10437, 828, 872, 900, 8237, and 13540) had 1 isolate per ST (3.8%). Six types of antimicrobial resistance genes (ant(6)-Ia, aph(3')-III, blaOXA, cat, erm(B), and tet(O)) and one point mutations in the gyrA gene (Threonine-86-Isoleucine) and another in the rpsL gene (Lysine-43-Arginine) were detected. The blaOXA resistance gene was present in all isolates, the gyrA mutations was in 95.2% of C. jejuni and 80.0% of C. coli, and the tet(O) resistance gene in 76.2% of C. jejuni and 80.0% of C. coli. Additionally, 203 virulence-associated genes linked to 16 virulence factors were identified. In terms of phenotypic resistance, the C. jejuni isolates were all resistant to ciprofloxacin, enrofloxacin, and nalidixic acid, with lower levels of resistance to tetracycline (76.2%), tylosin (52.3%), erythromycin (23.8%), azithromycin (22.2%), and gentamicin (11.1%). Most C. coli isolates were resistant to all tested antimicrobials, while 1 C. coli was pan-susceptible except for tylosin. Single-nucleotide polymorphisms concordance varied widely, with differences of up to 13,375 single-nucleotide polymorphisms compared to the reference Campylobacter isolates, highlighting genetic divergence among comparative genomes. This study contributes to a deeper understanding of the molecular epidemiology of Campylobacter spp. in Thai chicken production systems.
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Affiliation(s)
- Doan Hoang Phu
- Akkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand; Doctoral Program in Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat 80160, Thailand; Faculty of Animal Science and Veterinary Medicine, Nong Lam University, Ho Chi Minh City 70000, Vietnam
| | - Tuempong Wongtawan
- Akkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand; Centre for One Health, Walailak University, Nakhon Si Thammarat 80160, Thailand
| | | | - Nguyen Thi Nhung
- Oxford University Clinical Research Unit, Ho Chi Minh City 70000, Vietnam
| | | | - Juan Carrique-Mas
- Food and Agriculture Organization of the United Nations, Ha Noi 10000, Vietnam
| | - Conny Turni
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Queensland 4067, Australia
| | - Lida Omaleki
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Queensland 4067, Australia
| | - Patrick J Blackall
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Queensland 4067, Australia
| | - Thotsapol Thomrongsuwannakij
- Akkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand; Centre for One Health, Walailak University, Nakhon Si Thammarat 80160, Thailand.
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Chakrawarti A, Eckstrom K, Laaguiby P, Barlow JW. Hybrid Illumina-Nanopore assembly improves identification of multilocus sequence types and antimicrobial resistance genes of Staphylococcus aureus isolated from Vermont dairy farms: comparison to Illumina-only and R9.4.1 nanopore-only assemblies. Access Microbiol 2024; 6:000766.v3. [PMID: 38725589 PMCID: PMC11077346 DOI: 10.1099/acmi.0.000766.v3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 02/23/2024] [Indexed: 05/12/2024] Open
Abstract
Antimicrobial resistance (AMR) in Staphylococcus aureus is a pressing public health challenge with significant implications for the dairy industry, encompassing bovine mastitis concerns and potential zoonotic threats. To delve deeper into the resistance mechanisms of S. aureus, this study employed a hybrid whole genome assembly approach that synergized the precision of Illumina with the continuity of Oxford Nanopore. A total of 62 isolates, collected from multiple sources from Vermont dairy farms, were sequenced using the GridION Oxford Nanopore R9.4.1 platform and the Illumina platform, and subsequently processed through our long-read first bioinformatics pipeline. Our analyses showcased the hybrid-assembled genome's superior completeness compared to Oxford Nanopore (R9.4.1)-only or Illumina-only assembled genomes. Furthermore, the hybrid assembly accurately determined multilocus sequence typing (MLST) strain types across all isolates. The comprehensive probe for antibiotic resistance genes (ARGs) using databases like CARD, Resfinder, and MEGARES 2.0 characterized AMR in S. aureus isolates from Vermont dairy farms, and revealed the presence of notable resistance genes, including beta-lactam genes blaZ, blaI, and blaR. In conclusion, the hybrid assembly approach emerged as a tool for uncovering the genomic nuances of S. aureus isolates collected from multiple sources on dairy farms. Our findings offer a pathway for detecting AMR gene prevalence and shaping AMR management strategies crucial for safeguarding human and animal health.
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Affiliation(s)
- Ashma Chakrawarti
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, USA
| | - Korin Eckstrom
- Department of Microbiology and Molecular Genetics, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - Pheobe Laaguiby
- Advanced Genome Technologies Core, Vermont Integrative Genomics Resource, The Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - John W. Barlow
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, USA
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9
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Hong S, Moon JS, Yoon SS, Kim HY, Lee YJ. Levels of Indicator Bacteria and Characteristics of Foodborne Pathogens from Carcasses of Cattle Slaughterhouses in Korea. J Food Prot 2024; 87:100220. [PMID: 38215980 DOI: 10.1016/j.jfp.2024.100220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/14/2024]
Abstract
The initial microbial contamination of carcasses during slaughtering adversely affects spoilage and shelf life and is of global concern for food safety and meat quality. This study evaluated the hygiene and quality using the prevalence of foodborne pathogens and the level of indicator bacteria on 200 carcasses, collecting 10 from each of 20 cattle slaughterhouses in Korea. The distribution of aerobic bacterial count in carcasses was significantly highest at 2.0-3.0 log10 CFU/cm2 (34.1%), whereas the Escherichia coli count was significantly highest at under 1.0 log10 CFU/cm2 (94.0%) (P < 0.05). Clostridium perfringens was most prevalent (60.0% of slaughterhouses; 17.5% of carcasses), followed by Yersinia enterocolitica (30.0% of slaughterhouses; 6.5% of carcasses), Staphylococcus aureus (15.0% of slaughterhouses; 4.0% of carcasses), Listeria monocytogenes 1/2a (5.0% of slaughterhouses; 1.0% of carcasses), Salmonella enterica subsp. enterica serovar Infantis (5.0% of slaughterhouses; 1.0% of carcasses), and Shiga toxin-producing E. coli O:66 (5.0% of slaughterhouses; 0.5% of carcasses). Although 28 C. perfringens isolates from 11 slaughterhouses were divided into 21 pulsotypes, all isolates showed the same toxinotype as type A and only carried the cpa. Interestingly, 83.3% of isolates from two slaughterhouses located in the same province showed resistance to tetracycline. Furthermore, 13 Y. enterocolitica isolates from six slaughterhouses were divided into seven pulsotypes that were divided into biotypes 1A and 2 and serotypes O:5 and O:8, except for isolates that could not be typed. Twelve (92.3%) isolates only carried ystB, but one (7.7%) isolate carried ail and ystA. Moreover, 46.2% of Y. enterocolitica isolates showed multidrug resistance against ampicillin, cefoxitin, and amoxicillin/clavulanic acid. This study supports the need for continuous monitoring of slaughterhouses and hygiene management to improve the microbiological safety of carcasses.
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Affiliation(s)
- Serim Hong
- College of Veterinary Medicine & Institute for Veterinary Biomedical Science, Kyungpook National University, Daegu, Republic of Korea
| | - Jin-San Moon
- Bacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon, Republic of Korea
| | - Soon-Seek Yoon
- Bacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon, Republic of Korea
| | - Ha-Young Kim
- Bacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon, Republic of Korea.
| | - Young Ju Lee
- College of Veterinary Medicine & Institute for Veterinary Biomedical Science, Kyungpook National University, Daegu, Republic of Korea.
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10
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Halleran J, Sylvester H, Jacob M, Callahan B, Baynes R, Foster D. Impact of florfenicol dosing regimen on the phenotypic and genotypic resistance of enteric bacteria in steers. Sci Rep 2024; 14:4920. [PMID: 38418677 PMCID: PMC10901817 DOI: 10.1038/s41598-024-55591-8] [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: 01/17/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024] Open
Abstract
The food animal sector's use of antimicrobials is heavily critiqued for its role in allowing resistance to develop against critically important antimicrobials in human health. The WHO recommends using lower tier antimicrobials such as florfenicol for disease treatment. The primary objective of this study was to assess the differences in resistance profiles of enteric microbes following administration of florfenicol to steers using both FDA-approved dosing regimens and two different detection methods. Our hypothesis was that we would identify an increased prevalence of resistance in the steers administered the repeated, lower dose of florfenicol; additionally, we hypothesized resistance profiles would be similar between both detection methods. Twelve steers were administered either two intramuscular (20 mg/kg q 48 h; n = 6) or a single subcutaneous dose (40 mg/kg, n = 6). Fecal samples were collected for 38 days, and E. coli and Enterococcus were isolated and tested for resistance. Fecal samples were submitted for metagenomic sequencing analysis. Metagenomics revealed genes conferring resistance to aminoglycosides as the most abundant drug class. Most multidrug resistance genes contained phenicols. The genotypic and phenotypic patterns of resistance were not similar between drug classes. Observed increases in resistant isolates and relative abundance of resistance genes peaked after drug administration and returned to baseline by the end of the sampling period. The use of a "lower tier" antimicrobial, such as florfenicol, may cause an increased amount of resistance to critically important antimicrobials for a brief period, but these changes largely resolve by the end of the drug withdrawal period.
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Affiliation(s)
- Jennifer Halleran
- Department of Population Health and Pathobiology, Center of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
| | - Hannah Sylvester
- Department of Population Health and Pathobiology, Center of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Megan Jacob
- Department of Population Health and Pathobiology, Center of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Benjamin Callahan
- Department of Population Health and Pathobiology, Center of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Ronald Baynes
- Department of Population Health and Pathobiology, Center of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Derek Foster
- Department of Population Health and Pathobiology, Center of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
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11
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Huo M, Xu X, Mi K, Ma W, Zhou Q, Lin X, Cheng G, Huang L. Co-selection mechanism for bacterial resistance to major chemical pollutants in the environment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169223. [PMID: 38101638 DOI: 10.1016/j.scitotenv.2023.169223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/30/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
Bacterial resistance is an emerging global public health problem, posing a significant threat to animal and human health. Chemical pollutants present in the environment exert selective pressure on bacteria, which acquire resistance through co-resistance, cross-resistance, co-regulation, and biofilm resistance. Resistance genes are horizontally transmitted in the environment through four mechanisms including conjugation transfer, bacterial transformation, bacteriophage transduction, and membrane vesicle transport, and even enter human bodies through the food chain, endangering human health. Although the co-selection effects of bacterial resistance to chemical pollutants has attracted widespread attention, the co-screening mechanism and co-transmission mechanisms remain unclear. Therefore, this article summarises the current research status of the co-selection effects and mechanism of environmental pollutants resistance, emphasising the necessity of studying the co-selection mechanism of bacteria against major chemical pollutants, and lays a solid theoretical foundation for conducting risk assessment of bacterial resistance.
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Affiliation(s)
- Meixia Huo
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Xiangyue Xu
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Kun Mi
- National Reference Laboratory of Veterinary Drug Residues (HZAU), Huazhong Agriculture University, Wuhan 430070, China; MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Wenjin Ma
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Qin Zhou
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Xudong Lin
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Guyue Cheng
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; National Reference Laboratory of Veterinary Drug Residues (HZAU), Huazhong Agriculture University, Wuhan 430070, China; MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Lingli Huang
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei 430070, China; National Reference Laboratory of Veterinary Drug Residues (HZAU), Huazhong Agriculture University, Wuhan 430070, China; MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China.
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12
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Zhao C, Wang Y, Mulchandani R, Van Boeckel TP. Global surveillance of antimicrobial resistance in food animals using priority drugs maps. Nat Commun 2024; 15:763. [PMID: 38278814 PMCID: PMC10817973 DOI: 10.1038/s41467-024-45111-7] [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: 06/21/2023] [Accepted: 01/15/2024] [Indexed: 01/28/2024] Open
Abstract
Antimicrobial resistance (AMR) in food animals is a growing threat to animal health and potentially to human health. In resource-limited settings, allocating resources to address AMR can be guided with maps. Here, we mapped AMR prevalence in 7 antimicrobials in Escherichia coli and nontyphoidal Salmonella species across low- and middle-income countries (LIMCs), using 1088 point-prevalence surveys in combination with a geospatial model. Hotspots of AMR were predicted in China, India, Brazil, Chile, and part of central Asia and southeastern Africa. The highest resistance prevalence was for tetracycline (59% for E. coli and 54% for nontyphoidal Salmonella, average across LMICs) and lowest for cefotaxime (33% and 19%). We also identified the antimicrobial with the highest probability of resistance exceeding critical levels (50%) in the future (1.7-12.4 years) for each 10 × 10 km pixel on the map. In Africa and South America, 78% locations were associated with penicillins or tetracyclines crossing 50% resistance in the future. In contrast, in Asia, 77% locations were associated with penicillins or sulphonamides. Our maps highlight diverging geographic trends of AMR prevalence across antimicrobial classes, and can be used to target AMR surveillance in AMR hotspots for priority antimicrobial classes.
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Affiliation(s)
- Cheng Zhao
- Health Geography and Policy Group, ETH Zürich, Zürich, Switzerland
| | - Yu Wang
- Health Geography and Policy Group, ETH Zürich, Zürich, Switzerland
| | | | - Thomas P Van Boeckel
- Health Geography and Policy Group, ETH Zürich, Zürich, Switzerland.
- One Health Trust, Washington DC, USA.
- Spatial Epidemiology Lab, Université Libre de Bruxelles, Brussels, Belgium.
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13
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Ayoola MB, Das AR, Krishnan BS, Smith DR, Nanduri B, Ramkumar M. Predicting Salmonella MIC and Deciphering Genomic Determinants of Antibiotic Resistance and Susceptibility. Microorganisms 2024; 12:134. [PMID: 38257961 PMCID: PMC10819212 DOI: 10.3390/microorganisms12010134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/04/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Salmonella spp., a leading cause of foodborne illness, is a formidable global menace due to escalating antimicrobial resistance (AMR). The evaluation of minimum inhibitory concentration (MIC) for antimicrobials is critical for characterizing AMR. The current whole genome sequencing (WGS)-based approaches for predicting MIC are hindered by both computational and feature identification constraints. We propose an innovative methodology called the "Genome Feature Extractor Pipeline" that integrates traditional machine learning (random forest, RF) with deep learning models (multilayer perceptron (MLP) and DeepLift) for WGS-based MIC prediction. We used a dataset from the National Antimicrobial Resistance Monitoring System (NARMS), comprising 4500 assembled genomes of nontyphoidal Salmonella, each annotated with MIC metadata for 15 antibiotics. Our pipeline involves the batch downloading of annotated genomes, the determination of feature importance using RF, Gini-index-based selection of crucial 10-mers, and their expansion to 20-mers. This is followed by an MLP network, with four hidden layers of 1024 neurons each, to predict MIC values. Using DeepLift, key 20-mers and associated genes influencing MIC are identified. The 10 most significant 20-mers for each antibiotic are listed, showcasing our ability to discern genomic features affecting Salmonella MIC prediction with enhanced precision. The methodology replaces binary indicators with k-mer counts, offering a more nuanced analysis. The combination of RF and MLP addresses the limitations of the existing WGS approach, providing a robust and efficient method for predicting MIC values in Salmonella that could potentially be applied to other pathogens.
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Affiliation(s)
- Moses B. Ayoola
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, MS 39762, USA; (M.B.A.); (A.R.D.); (B.S.K.); (B.N.)
| | - Athish Ram Das
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, MS 39762, USA; (M.B.A.); (A.R.D.); (B.S.K.); (B.N.)
| | - B. Santhana Krishnan
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, MS 39762, USA; (M.B.A.); (A.R.D.); (B.S.K.); (B.N.)
| | - David R. Smith
- Department of Population Medicine, College of Veterinary Medicine, Mississippi State University, Starkville, MS 39762, USA;
| | - Bindu Nanduri
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, MS 39762, USA; (M.B.A.); (A.R.D.); (B.S.K.); (B.N.)
| | - Mahalingam Ramkumar
- Department of Computer Science and Engineering, Mississippi State University, Starkville, MS 39762, USA
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14
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Aworh MK, Thakur S, Gensler C, Harrell E, Harden L, Fedorka-Cray PJ, Jacob M. Characteristics of antimicrobial resistance in Escherichia coli isolated from retail meat products in North Carolina. PLoS One 2024; 19:e0294099. [PMID: 38180979 PMCID: PMC10769054 DOI: 10.1371/journal.pone.0294099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/18/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND Escherichia coli is commonly used as an indicator for antimicrobial resistance (AMR) in food, animal, environment, and human surveillance systems. Our study aimed to characterize AMR in E. coli isolated from retail meat purchased from grocery stores in North Carolina, USA as part of the National Antimicrobial Resistance Monitoring System (NARMS). MATERIALS AND METHODS Retail chicken (breast, n = 96; giblets, n = 24), turkey (n = 96), and pork (n = 96) products were purchased monthly from different counties in North Carolina during 2022. Label claims on packages regarding antibiotic use were recorded at collection. E. coli was isolated from meat samples using culture-based methods and isolates were characterized for antimicrobial resistance using whole genome sequencing. Multi-locus sequence typing, phylogroups, and a single nucleotide polymorphism (SNP)-based maximum-likelihood phylogenic tree was generated. Data were analyzed statistically to determine differences between antibiotic use claims and meat type. RESULTS Of 312 retail meat samples, 138 (44.2%) were positive for E. coli, with turkey (78/138; 56.5%) demonstrating the highest prevalence. Prevalence was lower in chicken (41/138; 29.7%) and pork (19/138;13.8%). Quality sequence data was available from 84.8% (117/138) of the E. coli isolates, which included 72 (61.5%) from turkey, 27 (23.1%) from chicken breast, and 18 (15.4%) from pork. Genes associated with AMR were detected in 77.8% (91/117) of the isolates and 35.9% (42/117) were defined as multidrug resistant (MDR: being resistant to ≥3 distinct classes of antimicrobials). Commonly observed AMR genes included tetB (35%), tetA (24.8%), aph(3'')-lb (24.8%), and blaTEM-1 (20.5%), the majority of which originated from turkey isolates. Antibiotics use claims had no statistical effect on MDR E. coli isolates from the different meat types (X2 = 2.21, p = 0.33). MDR was observed in isolates from meat products with labels indicating "no claims" (n = 29; 69%), "no antibiotics ever" (n = 9; 21.4%), and "organic" (n = 4; 9.5%). Thirty-four different replicon types were observed. AMR genes were carried on plasmids in 17 E. coli isolates, of which 15 (88.2%) were from turkey and two (11.8%) from chicken. Known sequence types (STs) were described for 81 E. coli isolates, with ST117 (8.5%), ST297 (5.1%), and ST58 (3.4%) being the most prevalent across retail meat types. The most prevalent phylogroups were B1 (29.1%) and A (28.2%). Five clonal patterns were detected among isolates. CONCLUSIONS E. coli prevalence and the presence of AMR and MDR were highest in turkey retail meat. The lack of an association between MDR E. coli in retail meat and antibiotic use claim, including those with no indication of antimicrobial use, suggests that additional research is required to understand the origin of resistance. The presence of ST117, an emerging human pathogen, warrants further surveillance. The isolates were distinctly diverse suggesting an instability in population dynamics.
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Affiliation(s)
- Mabel Kamweli Aworh
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Siddhartha Thakur
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Catherine Gensler
- Department of Agricultural and Human Sciences, College of Agriculture and Life Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Erin Harrell
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Lyndy Harden
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Paula J. Fedorka-Cray
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Megan Jacob
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America
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15
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Yan R, M'ikanatha NM, Nachamkin I, Hudson LK, Denes TG, Kovac J. Prevalence of ciprofloxacin resistance and associated genetic determinants differed among Campylobacter isolated from human and poultry meat sources in Pennsylvania. Food Microbiol 2023; 116:104349. [PMID: 37689423 DOI: 10.1016/j.fm.2023.104349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/29/2023] [Accepted: 07/31/2023] [Indexed: 09/11/2023]
Abstract
Poultry is the primary source of Campylobacter infections and severe campylobacteriosis cases are treated with macrolides and fluoroquinolones. However, these drugs are less effective against antimicrobial-resistant strains. Here, we investigated the prevalence of phenotypic antimicrobial resistance and associated resistance genetic determinants in Campylobacter isolates collected from human clinical (N = 123) and meat (N = 80) sources in Pennsylvania in 2017 and 2018. Our goal was to assess potential differences in the prevalence of antimicrobial resistance in Campylobacter isolated from human and poultry meat sources in Pennsylvania and to assess the accuracy of predicting antimicrobial resistance phenotypes based on resistance genotypes. We whole genome sequenced isolates and identified genetic resistance determinants using the National Antimicrobial Resistance Monitoring System Campylobacter AMR workflow v2.0 in GalaxyTrakr. Phenotypic antimicrobial susceptibility testing was carried out using the E-Test and Sensititre CAMPYCMV methods for human clinical and poultry meat isolates, respectively, and the results were interpreted using the EUCAST epidemiological cutoff values. The 193 isolates were represented by 85 MLST sequence types and 23 clonal complexes, suggesting high genetic diversity. Resistance to erythromycin was confirmed in 6% human and 4% meat isolates. Prevalence of ciprofloxacin resistance was significantly higher in human isolates as compared to meat isolates. A good concordance was observed between phenotypic resistance and the presence of the corresponding known resistance genetic determinants.
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Affiliation(s)
- Runan Yan
- Department of Food Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | | | - Irving Nachamkin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren K Hudson
- Department of Food Science, University of Tennessee, Knoxville, TN, 37996, USA
| | - Thomas G Denes
- Department of Food Science, University of Tennessee, Knoxville, TN, 37996, USA
| | - Jasna Kovac
- Department of Food Science, The Pennsylvania State University, University Park, PA, 16802, USA.
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16
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Baker KS, Jauneikaite E, Hopkins KL, Lo SW, Sánchez-Busó L, Getino M, Howden BP, Holt KE, Musila LA, Hendriksen RS, Amoako DG, Aanensen DM, Okeke IN, Egyir B, Nunn JG, Midega JT, Feasey NA, Peacock SJ. Genomics for public health and international surveillance of antimicrobial resistance. THE LANCET. MICROBE 2023; 4:e1047-e1055. [PMID: 37977162 DOI: 10.1016/s2666-5247(23)00283-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 11/19/2023]
Abstract
Historically, epidemiological investigation and surveillance for bacterial antimicrobial resistance (AMR) has relied on low-resolution isolate-based phenotypic analyses undertaken at local and national reference laboratories. Genomic sequencing has the potential to provide a far more high-resolution picture of AMR evolution and transmission, and is already beginning to revolutionise how public health surveillance networks monitor and tackle bacterial AMR. However, the routine integration of genomics in surveillance pipelines still has considerable barriers to overcome. In 2022, a workshop series and online consultation brought together international experts in AMR and pathogen genomics to assess the status of genomic applications for AMR surveillance in a range of settings. Here we focus on discussions around the use of genomics for public health and international AMR surveillance, noting the potential advantages of, and barriers to, implementation, and proposing recommendations from the working group to help to drive the adoption of genomics in public health AMR surveillance. These recommendations include the need to build capacity for genome sequencing and analysis, harmonising and standardising surveillance systems, developing equitable data sharing and governance frameworks, and strengthening interactions and relationships among stakeholders at multiple levels.
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Affiliation(s)
- Kate S Baker
- Department for Clinical Infection, Microbiology, and Immunology, University of Liverpool, Liverpool, UK; Department of Genetics, University of Cambridge, Cambridge, UK.
| | - Elita Jauneikaite
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Katie L Hopkins
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, London, UK; Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, UK Health Security Agency, London, UK
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Leonor Sánchez-Busó
- Genomics and Health Area, Foundation for the Promotion of Health and Biomedical Research in the Valencian Community (FISABIO-Public Health), Valencia, Spain; CIBERESP, ISCIII, Madrid, Spain
| | - Maria Getino
- NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Benjamin P Howden
- The Centre for Pathogen Genomics, Doherty Institute, The University of Melbourne, Melbourne, VIC, Australia
| | - Kathryn E Holt
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Lillian A Musila
- Department of Emerging Infectious Diseases, United States Army Medical Research Directorate - Africa, Nairobi, Kenya; Kenya Medical Research Institute, Nairobi, Kenya
| | - Rene S Hendriksen
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Daniel G Amoako
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa; School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa; Department of Pathobiology, University of Guelph, Guelph, ON, Canada
| | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Nuffield Department of Medicine, University of Oxford, Big Data Institute, Oxford, UK
| | - Iruka N Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Beverly Egyir
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon-Accra, Ghana, West Africa
| | - Jamie G Nunn
- Infectious Disease Challenge Area, Wellcome Trust, London, UK
| | | | - Nicholas A Feasey
- Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK; Malawi Liverpool Wellcome Research Programme, Malawi
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17
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Chandra Deb L, Jara M, Lanzas C. Early evaluation of the Food and Drug Administration (FDA) guidance on antimicrobial use in food animals on antimicrobial resistance trends reported by the National Antimicrobial Resistance Monitoring System (2012-2019). One Health 2023; 17:100580. [PMID: 37448772 PMCID: PMC10336154 DOI: 10.1016/j.onehlt.2023.100580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 07/15/2023] Open
Abstract
Antimicrobial resistance (AMR) is one of the biggest challenges to global public health. To address this issue in the US, governmental agencies have implemented system-wide guidance frameworks and recommendations aimed at reducing antimicrobial use. In particular, the Food and Drug Administration (FDA) prohibited the extra-label use of cephalosporins in food animals in 2012 and issued the guidance for industry (GFI) #213 about establishing a framework to phase out the use of all medically relevant drugs for growth promotion in 2012. Also in 2015, the FDA implemented veterinary feed directive (VFD) drug regulations (GFI# 120) to control the use of certain antimicrobials. To assess the potential early effects of these FDA actions and other concurrent antimicrobial stewardship actions on AMR in the food chain, we compared the patterns of the phenotypic (minimum inhibitory concentration (MIC) and percentage of resistance) and genotypic resistances for selected antimicrobials before and after 2016 across different enteric pathogen species, as reported by the National Antimicrobial Resistance Monitoring System (NARMS). Most of the antimicrobials analyzed at the phenotypic level followed a downward trend in MIC after implementing the guidance. Although, most of those changes were less than one 1-fold dilution. On the other hand, compared to MIC results, the results based on phenotypic resistance prevalence evidenced higher differences in both directions between the pre- and post-guidance implementation period. Also, we did not find relevant differences in the presence of AMR genes between pre- and post-VFD drug regulations. We concluded that the FDA guidance on antimicrobial use has not led to substantial reductions in antimicrobial drug resistance yet.
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Affiliation(s)
- Liton Chandra Deb
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Manuel Jara
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Cristina Lanzas
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
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18
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Rodríguez EC, Saavedra SY, Montaño LA, Sossa DP, Correa FP, Vaca JA, Duarte C. Characterization of extended spectrum β-lactamases in Colombian clinical isolates of non-typhoidal Salmonella enterica between 1997 and 2022. BIOMEDICA : REVISTA DEL INSTITUTO NACIONAL DE SALUD 2023; 43:374-384. [PMID: 37871566 PMCID: PMC10637434 DOI: 10.7705/biomedica.6891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/11/2023] [Indexed: 10/25/2023]
Abstract
Introduction. Salmonella spp. is a zoonotic pathogen transmitted to humans through contaminated water or food. The presence of extended-spectrum β-lactamases is a growing public health problem because these enzymes are resistant to third and fourth generation cephalosporins. Objective. To characterize extended-spectrum β-lactamases in Salmonella spp. isolates received by the acute diarrheal disease/foodborne disease surveillance program of the Grupo de Microbiología of the Instituto Nacional de Salud. Materials and methods. A total of 444 Salmonella spp. isolates, resistant to at least one of the cephalosporins, were obtained between January 1997 and June 2022. The extendedspectrum β-lactamases phenotype was identified by the double disk test. DNA extraction was carried out by the boiling method, and the blaCTX-M, blaSHV, and blaTEM genes were amplified by PCR. Results. All the isolates were positive for the extended-spectrum β-lactamases test. The genes identified were: blaCTX-M + blaTEM (n=200), blaCTX-M (n=177), blaSHV (n=16), blaSHV + blaCTX-M (n=6), blaTEM (n=13) and blaSHV + blaCTX-M + blaTEM (n=3). Twenty-six isolates were negative for the evaluated genes. Positive extended-spectrum β-lactamases isolates were identified in Bogotá and 21 departments: Chocó, Magdalena, Meta, Bolívar, Casanare, Cesar, Córdoba, Quindío, Atlántico, Tolima, Cauca, Cundinamarca, Huila, Boyacá, Caldas, Norte de Santander, Risaralda, Antioquia, Nariño, Santander y Valle del Cauca. Conclusion. Resistance to third generation cephalosporins in Salmonella spp. isolates was mainly caused by blaCTX-M. Isolates were resistant to ampicillin, tetracycline, chloramphenicol, and trimethoprim-sulfamethoxazole (44 %; 197/444). The most frequent extended-spectrum β-lactamases-expressing serotypes were Salmonella Typhimurium and Salmonella Infantis.
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Affiliation(s)
| | | | | | | | | | | | - Carolina Duarte
- Grupo de Microbiología, Instituto Nacional de Salud, Bogotá, D.C., Colombia.
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19
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Aguilar GR, Swetschinski LR, Weaver ND, Ikuta KS, Mestrovic T, Gray AP, Chung E, Wool EE, Han C, Hayoon AG, Araki DT, Abdollahi A, Abu-Zaid A, Adnan M, Agarwal R, Dehkordi JA, Aravkin AY, Areda D, Azzam AY, Berezin EN, Bhagavathula AS, Bhutta ZA, Bhuyan SS, Browne AJ, Castañeda-Orjuela CA, Chandrasekar EK, Ching PR, Dai X, Darmstadt GL, De la Hoz FP, Diao N, Diaz D, Mombaque dos Santos W, Eyre D, Garcia C, Haines-Woodhouse G, Hassen MB, Henry NJ, Hopkins S, Hossain MM, Iregbu KC, Iwu CC, Jacobs JA, Janko MM, Jones R, Karaye IM, Khalil IA, Khan IA, Khan T, Khubchandani J, Khusuwan S, Kisa A, Koyaweda GW, Krapp F, Kumaran EA, Kyu HH, Lim SS, Liu X, Luby S, Maharaj SB, Maronga C, Martorell M, May J, McManigal B, Mokdad AH, Moore CE, Mostafavi E, Murillo-Zamora E, Mussi-Pinhata MM, Nanavati R, Nassereldine H, Natto ZS, Qamar FN, Nuñez-Samudio V, Ochoa TJ, Ojo-Akosile TR, Olagunju AT, Olivas-Martinez A, Ortiz-Brizuela E, Ounchanum P, Paredes JL, Patthipati VS, Pawar S, Pereira M, Pollard A, Ponce-De-Leon A, Sady Prates EJ, Qattea I, Reyes LF, Roilides E, Rosenthal VD, Rudd KE, Sangchan W, Seekaew S, Seylani A, Shababi N, Sham S, Sifuentes-Osornio J, Singh H, Stergachis A, Tasak N, Tat NY, Thaiprakong A, Valdez PR, Yada DY, Yunusa I, Zastrozhin MS, Hay SI, Dolecek C, Sartorius B, Murray CJ, Naghavi M. The burden of antimicrobial resistance in the Americas in 2019: a cross-country systematic analysis. LANCET REGIONAL HEALTH. AMERICAS 2023; 25:100561. [PMID: 37727594 PMCID: PMC10505822 DOI: 10.1016/j.lana.2023.100561] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 06/22/2023] [Accepted: 07/10/2023] [Indexed: 09/21/2023]
Abstract
Background Antimicrobial resistance (AMR) is an urgent global health challenge and a critical threat to modern health care. Quantifying its burden in the WHO Region of the Americas has been elusive-despite the region's long history of resistance surveillance. This study provides comprehensive estimates of AMR burden in the Americas to assess this growing health threat. Methods We estimated deaths and disability-adjusted life-years (DALYs) attributable to and associated with AMR for 23 bacterial pathogens and 88 pathogen-drug combinations for countries in the WHO Region of the Americas in 2019. We obtained data from mortality registries, surveillance systems, hospital systems, systematic literature reviews, and other sources, and applied predictive statistical modelling to produce estimates of AMR burden for all countries in the Americas. Five broad components were the backbone of our approach: the number of deaths where infection had a role, the proportion of infectious deaths attributable to a given infectious syndrome, the proportion of infectious syndrome deaths attributable to a given pathogen, the percentage of pathogens resistant to an antibiotic class, and the excess risk of mortality (or duration of an infection) associated with this resistance. We then used these components to estimate the disease burden by applying two counterfactual scenarios: deaths attributable to AMR (compared to an alternative scenario where resistant infections are replaced with susceptible ones), and deaths associated with AMR (compared to an alternative scenario where resistant infections would not occur at all). We generated 95% uncertainty intervals (UIs) for final estimates as the 25th and 975th ordered values across 1000 posterior draws, and models were cross-validated for out-of-sample predictive validity. Findings We estimated 569,000 deaths (95% UI 406,000-771,000) associated with bacterial AMR and 141,000 deaths (99,900-196,000) attributable to bacterial AMR among the 35 countries in the WHO Region of the Americas in 2019. Lower respiratory and thorax infections, as a syndrome, were responsible for the largest fatal burden of AMR in the region, with 189,000 deaths (149,000-241,000) associated with resistance, followed by bloodstream infections (169,000 deaths [94,200-278,000]) and peritoneal/intra-abdominal infections (118,000 deaths [78,600-168,000]). The six leading pathogens (by order of number of deaths associated with resistance) were Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Streptococcus pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii. Together, these pathogens were responsible for 452,000 deaths (326,000-608,000) associated with AMR. Methicillin-resistant S. aureus predominated as the leading pathogen-drug combination in 34 countries for deaths attributable to AMR, while aminopenicillin-resistant E. coli was the leading pathogen-drug combination in 15 countries for deaths associated with AMR. Interpretation Given the burden across different countries, infectious syndromes, and pathogen-drug combinations, AMR represents a substantial health threat in the Americas. Countries with low access to antibiotics and basic health-care services often face the largest age-standardised mortality rates associated with and attributable to AMR in the region, implicating specific policy interventions. Evidence from this study can guide mitigation efforts that are tailored to the needs of each country in the region while informing decisions regarding funding and resource allocation. Multisectoral and joint cooperative efforts among countries will be a key to success in tackling AMR in the Americas. Funding Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.
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20
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Chung HC, Foxx CL, Hicks JA, Stuber TP, Friedberg I, Dorman KS, Harris B. An accurate and interpretable model for antimicrobial resistance in pathogenic Escherichia coli from livestock and companion animal species. PLoS One 2023; 18:e0290473. [PMID: 37616210 PMCID: PMC10449230 DOI: 10.1371/journal.pone.0290473] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023] Open
Abstract
Understanding the microbial genomic contributors to antimicrobial resistance (AMR) is essential for early detection of emerging AMR infections, a pressing global health threat in human and veterinary medicine. Here we used whole genome sequencing and antibiotic susceptibility test data from 980 disease causing Escherichia coli isolated from companion and farm animals to model AMR genotypes and phenotypes for 24 antibiotics. We determined the strength of genotype-to-phenotype relationships for 197 AMR genes with elastic net logistic regression. Model predictors were designed to evaluate different potential modes of AMR genotype translation into resistance phenotypes. Our results show a model that considers the presence of individual AMR genes and total number of AMR genes present from a set of genes known to confer resistance was able to accurately predict isolate resistance on average (mean F1 score = 98.0%, SD = 2.3%, mean accuracy = 98.2%, SD = 2.7%). However, fitted models sometimes varied for antibiotics in the same class and for the same antibiotic across animal hosts, suggesting heterogeneity in the genetic determinants of AMR resistance. We conclude that an interpretable AMR prediction model can be used to accurately predict resistance phenotypes across multiple host species and reveal testable hypotheses about how the mechanism of resistance may vary across antibiotics within the same class and across animal hosts for the same antibiotic.
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Affiliation(s)
- Henri C. Chung
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, United States of America
| | - Christine L. Foxx
- Research Participation Program, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States of America
| | - Jessica A. Hicks
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States of America
| | - Tod P. Stuber
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States of America
| | - Iddo Friedberg
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, United States of America
| | - Karin S. Dorman
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, United States of America
- Department of Statistics, Iowa State University, Ames, IA, United States of America
| | - Beth Harris
- National Animal Health Laboratory Network, National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States of America
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21
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Sarkar S, Okafor C. Effect of veterinary feed directive rule changes on tetracycline-resistant and erythromycin-resistant bacteria (Salmonella, Escherichia, and Campylobacter) in retail meats in the United States. PLoS One 2023; 18:e0289208. [PMID: 37535600 PMCID: PMC10399851 DOI: 10.1371/journal.pone.0289208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/13/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Antimicrobial-resistant bacteria are a growing public health threat. In 2017 the U.S. Food and Drug Administration implemented Veterinary Feed Directive (VFD) rules changes to limit medically important antimicrobial use in food-producing animals, combating antimicrobial-resistant bacteria. The effect of the VFD rule changes on the occurrence of bacteria resistant to medically-important antimicrobials in retail meats is yet to be investigated in the U.S. This study investigates whether the VFD rule changes affected the occurrence of tetracycline-resistant and erythromycin-resistant bacteria (Salmonella, Escherichia, and Campylobacter) in retail meats in the U.S. METHODS Multivariable mixed effect logistic regression models were used to analyze 2002-2019 retail meats surveillance data from the National Antimicrobial Resistance Monitoring System (NARMS) in the U.S. Variables included VFD rule changes, meat type, quarter of year, and raising claims. A potential association between these variables and the occurrence of tetracycline-resistant and erythromycin-resistant bacteria (Salmonella, Escherichia, and Campylobacter) in retail meats was estimated. RESULTS Analysis included data regarding tetracycline-resistant Salmonella (n = 8,501), Escherichia (n = 20, 283), Campylobacter (n = 9,682), and erythromycin-resistant Campylobacter (n = 10,446) in retail meats. The odds of detecting tetracycline-resistant Escherichia (OR = 0.60), Campylobacter (OR = 0.89), and erythromycin-resistant Campylobacter (OR = 0.43) in chicken breast significantly decreased after the VFD rule changes, compared to the pre-VFD rule change period. The odds of detecting tetracycline-resistant Salmonella (0.66), Escherichia (OR = 0.56), and Campylobacter (OR = 0.33) in ground turkey also significantly decreased. However, the odds of detecting tetracycline-resistant Salmonella (OR = 1.49) in chicken breast and erythromycin-resistant Campylobacter (OR = 4.63) in ground turkey significantly increased. There was no significant change in the odds of detecting tetracycline-resistant Salmonella and Escherichia in ground beef or pork chops. CONCLUSIONS The implementation of VFD rule changes had a beneficial effect by reducing the occurrence of tetracycline-resistant and erythromycin-resistant bacteria in chicken and ground turkey. Ongoing surveillance of antimicrobial resistance and antimicrobial use could complement the implementation of stewardship such as VFD rule in food-producing animals in the U.S.
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Affiliation(s)
- Shamim Sarkar
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, United States of America
| | - Chika Okafor
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, United States of America
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22
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Rojas-Sánchez E, Jiménez-Soto M, Barquero-Calvo E, Duarte-Martínez F, Mollenkopf DF, Wittum TE, Muñoz-Vargas L. Prevalence Estimation, Antimicrobial Susceptibility, and Serotyping of Salmonella enterica Recovered from New World Non-Human Primates ( Platyrrhini), Feed, and Environmental Surfaces from Wildlife Centers in Costa Rica. Antibiotics (Basel) 2023; 12:antibiotics12050844. [PMID: 37237747 DOI: 10.3390/antibiotics12050844] [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: 03/31/2023] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Concern about zoonoses and wildlife has increased. Few studies described the role of wild mammals and environments in the epidemiology of Salmonella. Antimicrobial resistance is a growing problem associated with Salmonella that threatens global health, food security, the economy, and development in the 21st century. The aim of this study is to estimate the prevalence and identify antibiotic susceptibility profiles and serotypes of non-typhoidal Salmonella enterica recovered from non-human primate feces, feed offered, and surfaces in wildlife centers in Costa Rica. A total of 180 fecal samples, 133 environmental, and 43 feed samples from 10 wildlife centers were evaluated. We recovered Salmonella from 13.9% of feces samples, 11.3% of environmental, and 2.3% of feed samples. Non-susceptibility profiles included six isolates from feces (14.6%): four non-susceptible isolates (9.8%) to ciprofloxacin, one (2.4%) to nitrofurantoin, and one to both ciprofloxacin and nitrofurantoin (2.4%). Regarding the environmental samples, one profile was non-susceptible to ciprofloxacin (2.4%) and two to nitrofurantoin (4.8%). The serotypes identified included Typhimurium/I4,[5],12:i:-, S. Braenderup/Ohio, S. Newport, S. Anatum/Saintpaul, and S. Westhampton. The epidemiological surveillance of Salmonella and antimicrobial resistance can serve in the creation of strategies for the prevention of the disease and its dissemination throughout the One Health approach.
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Affiliation(s)
- Ernesto Rojas-Sánchez
- Laboratorio de Salud Pública e Inocuidad de Alimentos, Programa de Investigación en Enfermedades Tropicales (PIET), Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
- Hospital de Especies Menores y Silvestres, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
| | - Mauricio Jiménez-Soto
- Hospital de Especies Menores y Silvestres, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
| | - Elias Barquero-Calvo
- Laboratorio de Bacteriología, Programa de Investigación en Enfermedades Tropicales (PIET), Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
| | - Francisco Duarte-Martínez
- Laboratorio de Genómica y Biología Molecular, Centro Nacional de Referencia de Inocuidad Microbiológica de Alimentos, Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud, Cartago 30301, Costa Rica
| | - Dixie F Mollenkopf
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH 43210, USA
| | - Thomas E Wittum
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH 43210, USA
| | - Lohendy Muñoz-Vargas
- Laboratorio de Salud Pública e Inocuidad de Alimentos, Programa de Investigación en Enfermedades Tropicales (PIET), Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
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Lee KY, Lavelle K, Huang A, Atwill ER, Pitesky M, Li X. Assessment of Prevalence and Diversity of Antimicrobial Resistant Escherichia coli from Retail Meats in Southern California. Antibiotics (Basel) 2023; 12:antibiotics12040782. [PMID: 37107144 PMCID: PMC10135137 DOI: 10.3390/antibiotics12040782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/10/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Retail meat products may serve as reservoirs and conduits for antimicrobial resistance, which is frequently monitored using Escherichia coli as indicator bacteria. In this study, E. coli isolation was conducted on 221 retail meat samples (56 chicken, 54 ground turkey, 55 ground beef, and 56 pork chops) collected over a one-year period from grocery stores in southern California. The overall prevalence of E. coli in retail meat samples was 47.51% (105/221), with E. coli contamination found to be significantly associated with meat type and season of sampling. From antimicrobial susceptibility testing, 51 isolates (48.57%) were susceptible to all antimicrobials tested, 54 (51.34%) were resistant to at least 1 drug, 39 (37.14%) to 2 or more drugs, and 21 (20.00%) to 3 or more drugs. Resistance to ampicillin, gentamicin, streptomycin, and tetracycline were significantly associated with meat type, with poultry counterparts (chicken or ground turkey) exhibiting higher odds for resistance to these drugs compared to non-poultry meats (beef and pork). From the 52 E. coli isolates selected to undergo whole-genome sequencing (WGS), 27 antimicrobial resistance genes (ARGs) were identified and predicted phenotypic AMR profiles with an overall sensitivity and specificity of 93.33% and 99.84%, respectively. Clustering assessment and co-occurrence networks revealed that the genomic AMR determinants of E. coli from retail meat were highly heterogeneous, with a sparsity of shared gene networks.
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Affiliation(s)
- Katie Yen Lee
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA
- Western Institute for Food Safety and Security, University of California, Davis, Davis, CA 95616, USA
| | - Kurtis Lavelle
- Western Institute for Food Safety and Security, University of California, Davis, Davis, CA 95616, USA
| | - Anny Huang
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA
| | - Edward Robert Atwill
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA
| | - Maurice Pitesky
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA
| | - Xunde Li
- Western Institute for Food Safety and Security, University of California, Davis, Davis, CA 95616, USA
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Shay JA, Haniford LSE, Cooper A, Carrillo CD, Blais BW, Lau CHF. Exploiting a targeted resistome sequencing approach in assessing antimicrobial resistance in retail foods. ENVIRONMENTAL MICROBIOME 2023; 18:25. [PMID: 36991496 PMCID: PMC10052294 DOI: 10.1186/s40793-023-00482-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 03/15/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND With the escalating risk of antimicrobial resistance (AMR), there are limited analytical options available that can comprehensively assess the burden of AMR carried by clinical/environmental samples. Food can be a potential source of AMR bacteria for humans, but its significance in driving the clinical spread of AMR remains unclear, largely due to the lack of holistic-yet-sensitive tools for surveillance and evaluation. Metagenomics is a culture-independent approach well suited for uncovering genetic determinants of defined microbial traits, such as AMR, present within unknown bacterial communities. Despite its popularity, the conventional approach of non-selectively sequencing a sample's metagenome (namely, shotgun-metagenomics) has several technical drawbacks that lead to uncertainty about its effectiveness for AMR assessment; for instance, the low discovery rate of resistance-associated genes due to their naturally small genomic footprint within the vast metagenome. Here, we describe the development of a targeted resistome sequencing method and demonstrate its application in the characterization of the AMR gene profile of bacteria associated with several retail foods. RESULT A targeted-metagenomic sequencing workflow using a customized bait-capture system targeting over 4,000 referenced AMR genes and 263 plasmid replicon sequences was validated against both mock and sample-derived bacterial community preparations. Compared to shotgun-metagenomics, the targeted method consistently provided for improved recovery of resistance gene targets with a much-improved target detection efficiency (> 300-fold). Targeted resistome analyses conducted on 36 retail-acquired food samples (fresh sprouts, n = 10; ground meat, n = 26) and their corresponding bacterial enrichment cultures (n = 36) reveals in-depth features regarding the identity and diversity of AMR genes, most of which were otherwise undetected by the whole-metagenome shotgun sequencing method. Furthermore, our findings suggest that foodborne Gammaproteobacteria could be the major reservoir of food-associated AMR genetic determinants, and that the resistome structure of the selected high-risk food commodities are, to a large extent, dictated by microbiome composition. CONCLUSIONS For metagenomic sequencing-based surveillance of AMR, the target-capture method presented herein represents a more sensitive and efficient approach to evaluate the resistome profile of complex food or environmental samples. This study also further implicates retail foods as carriers of diverse resistance-conferring genes indicating a potential impact on the dissemination of AMR.
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Affiliation(s)
- Julie A Shay
- Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Laura S E Haniford
- Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Ashley Cooper
- Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Catherine D Carrillo
- Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Burton W Blais
- Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Calvin Ho-Fung Lau
- Ottawa Laboratory (Carling), Canadian Food Inspection Agency, Ottawa, ON, Canada.
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25
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Plumb ID, Brown AC, Stokes EK, Chen JC, Carleton H, Tolar B, Sundararaman P, Saupe A, Payne DC, Shah HJ, Folster JP, Friedman CR. Increased Multidrug-Resistant Salmonella enterica I Serotype 4,[5],12:i:- Infections Associated with Pork, United States, 2009-2018. Emerg Infect Dis 2023; 29. [PMID: 36692335 PMCID: PMC9881761 DOI: 10.3201/eid2902.220950] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Reports of Salmonella enterica I serotype 4,[5],12:i:- infections resistant to ampicillin, streptomycin, sulphamethoxazole, and tetracycline (ASSuT) have been increasing. We analyzed data from 5 national surveillance systems to describe the epidemiology, resistance traits, and genetics of infections with this Salmonella strain in the United States. We found ASSuT-resistant Salmonella 4,[5],12:i:- increased from 1.1% of Salmonella infections during 2009-2013 to 2.6% during 2014-2018; the proportion of Salmonella 4,[5],12:i:- isolates without this resistance pattern declined from 3.1% to 2.4% during the same timeframe. Among isolates sequenced during 2015-2018, a total of 69% were in the same phylogenetic clade. Within that clade, 77% of isolates had genetic determinants of ASSuT resistance, and 16% had genetic determinants of decreased susceptibility to ciprofloxacin, ceftriaxone, or azithromycin. Among outbreaks related to the multidrug-resistant clade, 63% were associated with pork consumption or contact with swine. Preventing Salmonella 4,[5],12:i:- carriage in swine would likely avert human infections with this strain.
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26
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Alzahrani KO, AL-Reshoodi FM, Alshdokhi EA, Alhamed AS, Al Hadlaq MA, Mujallad MI, Mukhtar LE, Alsufyani AT, Alajlan AA, Al Rashidy MS, Al Dawsari MJ, Al-Akeel SI, AL-Harthi MH, Al Manee AM, Alghoribi MF, Alajel SM. Antimicrobial resistance and genomic characterization of Salmonella enterica isolates from chicken meat. Front Microbiol 2023; 14:1104164. [PMID: 37065154 PMCID: PMC10100587 DOI: 10.3389/fmicb.2023.1104164] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/15/2023] [Indexed: 04/18/2023] Open
Abstract
This study investigated genotypic and phenotypic antimicrobial resistance profiles, phylogenic relatedness, plasmid and virulence composition of 39 Salmonella enterica strains isolated from chicken meat samples using whole genome sequencing (WGS) technology. Four distinct serotypes were identified; Salmonella Minnesota (16/39, 41%), Salmonella Infantis (13/39, 33.3%), Salmonella Enteritidis (9/39, 23.1%), and one isolate was detected for Salmonella Kentucky (1/39, 2.6%), with sequence types (STs) as followed: ST548, ST32, ST11, and ST198, respectively. Phenotypic resistance to tetracycline (91.2%), ampicillin (82.4%), sulfisoxazole (64.7%), and nalidixic acid (61.6%) was the most observed. Resistome analysis revealed the presence of resistance genes to aminoglycosides, β-lactamase, sulfonamides, trimethoprim, phenicol, lincosamide, macrolides, and tetracyclines. Plasmidome showed the presence of eight incompatibility groups, including IncA/C2, IncFIB(K)_1_Kpn3, Col440I_1, IncR, IncX1, IncI1_1_Alpha, IncFIB(S)/IncFII(S), IncHI2/IncHI2A, IncX2 and ColpVC plasmids across the 39 genomes. Three resistance genes, sul2, tetA and blaCMY-2, were predicted to be located on IncA/C2 plasmid in S. Minnesota isolates, whereas all S. Infantis isolates were positive to IncFIB(K)_1_Kpn3 plasmid that carries bla CTX-M-65 gene. Eleven Salmonella pathogenicity islands and up to 131 stress and/or virulence genes were identified in the evaluated genomes. Phylogenetic analysis showed four phylogroups that were consistent with the identified ST profiles with a high level of inter-diversity between isolates. This is the first genomic characterization of Salmonella isolates from retail chicken meat in Saudi Arabia using WGS technology. The availability of Salmonella genomes from multiple geographic locations, including Saudi Arabia, would be highly beneficial in future source-tracking, especially during epidemiological surveillance and outbreak investigations.
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Affiliation(s)
- Khaloud O. Alzahrani
- Molecular Biology Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Fahad M. AL-Reshoodi
- Antimicrobial Resistance Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Elaf A. Alshdokhi
- Molecular Biology Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Ashwaq S. Alhamed
- Molecular Biology Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Meshari A. Al Hadlaq
- Molecular Biology Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Mohammed I. Mujallad
- Molecular Biology Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Lenah E. Mukhtar
- Antimicrobial Resistance Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Amani T. Alsufyani
- Antimicrobial Resistance Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Abdullah A. Alajlan
- Microbial Identification Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Malfi S. Al Rashidy
- Microbial Identification Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Mashan J. Al Dawsari
- Microbial Identification Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Saleh I. Al-Akeel
- Microbial Identification Division, Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Meshari H. AL-Harthi
- Microbiology Section, Food Laboratory, Laboratories Executive Department, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
| | - Abdulaziz M. Al Manee
- Microbial Hazards Division, Risk Assessment Department, Executive Department of Monitoring and Risk Assessment, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
- Biology Department, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Majed F. Alghoribi
- Infectious Diseases Research Department, King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- Department of Basic Science, College of Science and Health Professions, King Saud Bin Abdulaziz University for Health Sciences (KSAU), Riyadh, Saudi Arabia
| | - Suliman M. Alajel
- Reference Laboratory for Microbiology, Executive Department of Reference Laboratories, Research and Laboratories Sector, Saudi Food and Drug Authority (SFDA), Riyadh, Saudi Arabia
- *Correspondence: Suliman M. Alajel,
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Young SR, Domesle KJ, McDonald RC, Lozinak KA, Laksanalamai P, Harrell E, Thakur S, Kabera C, Strain EA, McDermott PF, Ge B. Toward the Adoption of Loop-Mediated Isothermal Amplification for Salmonella Screening at the National Antimicrobial Resistance Monitoring System's Retail Meat Sites. Foodborne Pathog Dis 2022; 19:758-766. [PMID: 36367550 PMCID: PMC9700350 DOI: 10.1089/fpd.2022.0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The National Antimicrobial Resistance Monitoring System (NARMS) is a One Health program in the United States that collects data on antimicrobial resistance in enteric bacteria from humans, animals, and the environment. Salmonella is a major pathogen tracked by the NARMS retail meat arm but currently lacks a uniform screening method. We evaluated a loop-mediated isothermal amplification (LAMP) assay for the rapid screening of Salmonella from 69 NARMS retail meat and poultry samples. All samples were processed side by side for culture isolation using two protocols, one from NARMS and the other one described in the U.S. Food and Drug Administration's Bacteriological Analytical Manual (BAM). Overall, 10 (14.5%) samples screened positive by the Salmonella LAMP assay. Of those, six were culture-confirmed by the NARMS protocol and six by the BAM method with overlap on four samples. No Salmonella isolates were recovered from samples that screened negative with LAMP. These results suggested 100% sensitivity for LAMP in reference to culture. Antimicrobial susceptibility testing and whole-genome sequencing analysis confirmed identities of these isolates. Using the BAM protocol, all Salmonella isolates were recovered from samples undergoing Rappaport-Vassiliadis medium selective enrichment and presumptive colonies (n = 130) were dominated by Hafnia alvei (44.6%), Proteus mirabilis (22.3%), and Morganella morganii (9.9%) based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. This method comparison study clearly demonstrated the benefit of a rapid, robust, and highly sensitive molecular screening method in streamlining the laboratory workflow. Fourteen NARMS retail meat sites further verified the performance of this assay using a portion of their routine samples, reporting an overall specificity of 98.8% and sensitivity of 90%. As of July 2022, the vast majority of NARMS retail meat sites have adopted the Salmonella LAMP assay for rapid screening of Salmonella in all samples.
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Affiliation(s)
- Shenia R. Young
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Kelly J. Domesle
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Ryan C. McDonald
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | | | | | - Erin Harrell
- College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Siddhartha Thakur
- College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Claudine Kabera
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Errol A. Strain
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Patrick F. McDermott
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Beilei Ge
- Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.,Address correspondence to: Beilei Ge, PhD, Division of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD 20708, USA
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Gil‐Molino M, Gonçalves P, Risco D, Martín‐Cano FE, García A, Rey J, Fernández‐Llario P, Quesada A. Dissemination of antimicrobial-resistant isolates of Salmonella spp. in wild boars and its relationship with management practices. Transbound Emerg Dis 2022; 69:e1488-e1502. [PMID: 35182450 PMCID: PMC9790216 DOI: 10.1111/tbed.14480] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 12/30/2022]
Abstract
Antimicrobial resistance (AMR) is a global concern and controlling its spread is critical for the effectiveness of antibiotics. Members of the genus Salmonella are broadly distributed, and wild boar may play an important role in its circulation between peri-urban areas and the environment, due to its frequent interactions both with livestock or human garbage. As the population of these animals is rising due to management on certain hunting estates or the absence of natural predators, the aim of the present work is to identify the mechanisms of AMR present and/or expressed in Salmonella spp. from wild boar populations and to determine the possible role of management-related factors applied to different game estates located in central Spain. The detection of Salmonella spp. was carried out in 121 dead wild boar from 24 game estates, and antimicrobial resistance traits were determined by antibiotic susceptibility testing and screening for their genetic determinants. The effects of feeding supplementation, the proximity of livestock, the existence of a surrounding fence and the density of wild boar on the AMR of the isolates were evaluated. The predominant subspecies and serovar found were S. enterica subsp. enterica (n = 69) and S. choleraesuis (n = 33), respectively. The other subspecies found were S. enterica subsp. diarizonae, S. enterica subsp. salamae and S. enterica subsp. houtenae. AMR was common among isolates (75.2%) and 15.7% showed multi drug resistance (MDR). Resistance to sulphonamides was the most frequent (85.7%), as well as sul1 which was the AMR determinant most commonly found. Plasmids appeared in 38.8% of the isolates, with IncHI1 being the replicon detected with the highest prevalence. The AMR of the isolates increased when the animals were raised with feeding supplementation and enclosed by fences around the estates.
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Affiliation(s)
- María Gil‐Molino
- Facultad de Veterinaria, Unidad de Patología InfecciosaUniversidad de ExtremaduraCáceresSpain
| | - Pilar Gonçalves
- Innovación en Gestión y Conservación de Ingulados S.L. CáceresCáceresSpain
| | - David Risco
- Innovación en Gestión y Conservación de Ingulados S.L. CáceresCáceresSpain,Neobeitar S.L. CáceresCáceresSpain
| | | | | | - Joaquín Rey
- Facultad de Veterinaria, Unidad de Patología InfecciosaUniversidad de ExtremaduraCáceresSpain
| | | | - Alberto Quesada
- Facultad de Veterinaria, Departamento de BioquímicaBiología Molecular y Genética, Universidad de ExtremaduraCáceresSpain,INBIO G+CUniversidad de ExtremaduraCáceresSpain
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29
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Ginn O, Lowry S, Brown J. A systematic review of enteric pathogens and antibiotic resistance genes in outdoor urban aerosols. ENVIRONMENTAL RESEARCH 2022; 212:113097. [PMID: 35339466 DOI: 10.1016/j.envres.2022.113097] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/10/2022] [Accepted: 03/06/2022] [Indexed: 06/14/2023]
Abstract
Aerosol transport of enteric microbiota including fecal pathogens and antimicrobial resistance genes (ARGs) has been documented in a range of settings but remains poorly understood outside indoor environments. We conducted a systematic review of the peer-reviewed literature to summarize evidence on specific enteric microbiota including enteric pathogens and ARGs that have been measured in aerosol samples in urban settings where the risks of outdoor exposure and antibiotic resistance (AR) spread may be highest. Following PRISMA guidelines, we conducted a key word search for articles published within the years 1990-2020 using relevant data sources. Two authors independently conducted the keyword searches of databases and conducted primary and secondary screenings before merging results. To be included, studies contained extractable data on enteric microbes and AR in outdoor aerosols regardless of source confirmation and reported on qualitative, quantitative, or viability data on enteric microbes or AR. Qualitative analyses and metric summaries revealed that enteric microbes and AR have been consistently reported in outdoor aerosols, generally via relative abundance measures, though gaps remain preventing full understanding of the role of the aeromicrobiological pathway in the fate and transport of enteric associated outdoor aerosols. We identified remaining gaps in the evidence base including a need for broad characterization of enteric pathogens in bioaerosols beyond bacterial genera, a need for greater sampling in locations of high enteric disease risk, and a need for quantitative estimation of microbial and nucleic acid densities that may be applied to fate and transport models and in quantitative microbial risk assessment.
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Affiliation(s)
- Olivia Ginn
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, Notre Dame, IN, 46556, USA.
| | - Sarah Lowry
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States
| | - Joe Brown
- Deparment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, United States.
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30
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Vinayamohan PG, Locke SR, Portillo-Gonzalez R, Renaud DL, Habing GG. Antimicrobial Use and Resistance in Surplus Dairy Calf Production Systems. Microorganisms 2022; 10:1652. [PMID: 36014070 PMCID: PMC9413162 DOI: 10.3390/microorganisms10081652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/05/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022] Open
Abstract
Surplus calves, which consist predominately of male calves born on dairy farms, are an underrecognized source of antimicrobial-resistant (AMR) pathogens. Current production systems for surplus calves have important risk factors for the dissemination of pathogens, including the high degree of commingling during auction and transportation and sometimes inadequate care early in life. These circumstances contribute to an increased risk of respiratory and other infectious diseases, resulting in higher antimicrobial use (AMU) and the development of AMR. Several studies have shown that surplus calves harbor AMR genes and pathogens that are resistant to critically important antimicrobials. This is a potential concern as the resistant pathogens and genes can be shared between animal, human and environmental microbiomes. Although knowledge of AMU and AMR has grown substantially in dairy and beef cattle systems, comparable studies in surplus calves have been mostly neglected in North America. Therefore, the overall goal of this narrative review is to summarize the existing literature regarding AMU and AMR in surplus dairy calf production, highlight the management practices contributing to the increased AMU and the resulting AMR, and discuss potential strategies and barriers for improved antimicrobial stewardship in surplus calf production systems.
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Affiliation(s)
- Poonam G. Vinayamohan
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Samantha R. Locke
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Rafael Portillo-Gonzalez
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - David L. Renaud
- Department of Population Medicine, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Gregory G. Habing
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210, USA
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31
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Aljeldah MM. Antimicrobial Resistance and Its Spread Is a Global Threat. Antibiotics (Basel) 2022; 11:antibiotics11081082. [PMID: 36009948 PMCID: PMC9405321 DOI: 10.3390/antibiotics11081082] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 02/07/2023] Open
Abstract
Antimicrobial resistance (AMR) is a challenge to human wellbeing the world over and is one of the more serious public health concerns. AMR has the potential to emerge as a serious healthcare threat if left unchecked, and could put into motion another pandemic. This establishes the need for the establishment of global health solutions around AMR, taking into account microdata from different parts of the world. The positive influences in this regard could be establishing conducive social norms, charting individual and group behavior practices that favor global human health, and lastly, increasing collective awareness around the need for such action. Apart from being an emerging threat in the clinical space, AMR also increases treatment complexity, posing a real challenge to the existing guidelines around the management of antibiotic resistance. The attribute of resistance development has been linked to many genetic elements, some of which have complex transmission pathways between microbes. Beyond this, new mechanisms underlying the development of AMR are being discovered, making this field an important aspect of medical microbiology. Apart from the genetic aspects of AMR, other practices, including misdiagnosis, exposure to broad-spectrum antibiotics, and lack of rapid diagnosis, add to the creation of resistance. However, upgrades and innovations in DNA sequencing technologies with bioinformatics have revolutionized the diagnostic industry, aiding the real-time detection of causes of AMR and its elements, which are important to delineating control and prevention approaches to fight the threat.
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Affiliation(s)
- Mohammed M Aljeldah
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hafr Al Batin, Hafar al-Batin 31991, Saudi Arabia
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32
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Cho S, McMillan EA, Barrett JB, Hiott LM, Woodley TA, House SL, Frye JG, Jackson CR. Distribution and Transfer of Plasmid Replicon Families among Multidrug-Resistant Enterococcus faecalis and Enterococcus faecium from Poultry. Microorganisms 2022; 10:microorganisms10061244. [PMID: 35744761 PMCID: PMC9228330 DOI: 10.3390/microorganisms10061244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022] Open
Abstract
The presence and transfer of plasmids from commensal bacteria to more pathogenic bacteria may contribute to the dissemination of antimicrobial resistance. However, the prevalence of plasmids from commensal bacteria, such as the enterococci, in food animals remains largely unknown. In this study, the diversity and prevalence of plasmid families from multidrug-resistant (MDR; resistance to three or more antimicrobials) enterococci from poultry carcasses were determined. Plasmid-positive MDR enterococci were also tested for the ability to transfer plasmids to other enterococci using conjugation. MDR Enterococcus faecalis (n = 98) and Enterococcus faecium (n = 696) that were isolated from poultry carcass rinsates between 2004 and 2011 were tested for the presence of 21 plasmid replicon (rep) families using multiplex PCR. Approximately 48% of E. faecalis (47/98) and 16% of E. faecium (110/696) were positive for at least one rep-family. Fourteen rep-families were detected overall, and ten rep-families were shared between E. faecalis and E. faecium. The rep7 and rep17 families were unique to E. faecalis, while the rep5 and rep8 families were unique to E. faecium. The rep9 family was predominant in both E. faecalis and E. faecium for all the years tested. The greatest number of rep-families detected was in 2005 (n = 10), and the least was in 2009 (n = 1). Eight rep-families were transferred from E. faecalis donors to the E. faecalis JH2-2 recipient using conjugation. Results from this study showed that E. faecalis and E. faecium from poultry carcasses contain numerous and diverse rep-families that are capable of conjugal transfer.
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Affiliation(s)
- Sohyun Cho
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
- Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA
| | - Elizabeth A. McMillan
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
| | - John B. Barrett
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
| | - Lari M. Hiott
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
| | - Tiffanie A. Woodley
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
| | - Sandra L. House
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
| | - Jonathan G. Frye
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
| | - Charlene R. Jackson
- Bacterial Epidemiology and Antimicrobial Resistance Research Unit, USDA-ARS, U.S. National Poultry Research Center, Athens, GA 30605, USA; (S.C.); (E.A.M.); (J.B.B.); (L.M.H.); (T.A.W.); (S.L.H.); (J.G.F.)
- Correspondence: ; Tel.: +1-(706)-546-3604; Fax: +1-(706)-546-3616
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Wallinga D, Smit LAM, Davis MF, Casey JA, Nachman KE. A Review of the Effectiveness of Current US Policies on Antimicrobial Use in Meat and Poultry Production. Curr Environ Health Rep 2022; 9:339-354. [PMID: 35477845 PMCID: PMC9090690 DOI: 10.1007/s40572-022-00351-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE Industrial food animal production accounts for most animal-source protein consumed in the USA. These operations rely on an array of external inputs, which can include antimicrobials of medical importance. The use of these drugs in this context has been the subject of public health debate for decades because their widespread use contributes to the selection for and proliferation of drug-resistant bacteria and their genetic determinants. Here, we describe legislative and regulatory efforts, at different levels of governance in the USA, to curtail food animal consumption of medically important antimicrobials. RECENT FINDINGS The features and relative success of the US efforts are examined alongside those of selected member states (Denmark and the Netherlands) of the European Union. Evaluation of efforts at all levels of US governance was complicated by shortcomings in prescribed data collection; nevertheless, available information suggests deficiencies in policy implementation and enforcement compromise the effectiveness of interventions pursued to date. The political will, robust systems for collecting and integrating data on antimicrobial consumption and use, and cross-sectoral collaboration that have been integral to the success of efforts in Denmark and The Netherlands have been notably absent in the USA, especially at the federal level.
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Affiliation(s)
- David Wallinga
- Natural Resources Defense Council, San Francisco, CA, 94104, USA
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Meghan F Davis
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Room W-7007, Baltimore, MD, 21205, USA
- Department of Molecular and Comparative Pathobiology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Joan A Casey
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, 10034, USA
| | - Keeve E Nachman
- Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Room W-7007, Baltimore, MD, 21205, USA.
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
- Johns Hopkins Center for a Livable Future, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21202, USA.
- Risk Sciences and Public Policy Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
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34
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Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective. Clin Microbiol Rev 2022; 35:e0017921. [PMID: 35612324 DOI: 10.1128/cmr.00179-21] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern medicine. Effective prevention strategies are urgently required to slow the emergence and further dissemination of AMR. Given the availability of data sets encompassing hundreds or thousands of pathogen genomes, machine learning (ML) is increasingly being used to predict resistance to different antibiotics in pathogens based on gene content and genome composition. A key objective of this work is to advocate for the incorporation of ML into front-line settings but also highlight the further refinements that are necessary to safely and confidently incorporate these methods. The question of what to predict is not trivial given the existence of different quantitative and qualitative laboratory measures of AMR. ML models typically treat genes as independent predictors, with no consideration of structural and functional linkages; they also may not be accurate when new mutational variants of known AMR genes emerge. Finally, to have the technology trusted by end users in public health settings, ML models need to be transparent and explainable to ensure that the basis for prediction is clear. We strongly advocate that the next set of AMR-ML studies should focus on the refinement of these limitations to be able to bridge the gap to diagnostic implementation.
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35
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Agga GE, Silva PJ, Martin RS. Tetracycline- and Macrolide-Resistant Enterococcus Species Isolated from a Mink Farm in the United States. Microb Drug Resist 2022; 28:734-743. [PMID: 35575717 DOI: 10.1089/mdr.2021.0438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Enterococcus species are a normal flora of animals and humans. However, life-threatening opportunistic infections can be caused by antimicrobial resistant strains. Fecal (n = 42) and feed (n = 8) samples were obtained from a mink farm and cultured for the enumeration and detection of erythromycin-resistant (a macrolide; ERYr)- and tetracycline-resistant (TETr) enterococci. ERYr and TETr enterococci were detected from all fecal (mean concentrations = 6 and 7 logs, respectively) and feed (mean concentrations = 5 and 4 logs, respectively) samples. While Enterococcus faecalis and Enterococcus faecium were detected at equal proportions among the fecal TETr isolates, E. faecium predominated among ERYr fecal isolates. All ERYr and 90% of the TETr isolates (n = 50) were multidrug resistant (resistant to three or more antimicrobial classes). Among ERYr isolates, while 83% of E. faecalis (n = 12) were positive for erm(B), 58% of E. faecium (n = 38) isolates were positive for msr(C). Among ERYr isolates, tet(M) was detected from 92% of E. faecalis (n = 12) and 97% of E. faecium (n = 38) isolates. Conversely, however, erm(B) was detected in 18% of E. faecalis (n = 22) and 33% of E. faecium (n = 27) TETr isolates. Our study provides a baseline for future efforts to reduce antimicrobial resistance and improve antimicrobial stewardship in commercial mink production facilities.
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Affiliation(s)
- Getahun E Agga
- Food Animal Environmental Systems Research Unit, Agricultural Research Service, United States Department of Agriculture (USDA), Bowling Green, Kentucky, USA
| | - Philip J Silva
- Food Animal Environmental Systems Research Unit, Agricultural Research Service, United States Department of Agriculture (USDA), Bowling Green, Kentucky, USA
| | - Randal S Martin
- Utah Water Research Laboratory, Department of Civil and Environmental Engineering, Utah State University, Logan, Utah, USA
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Studying Factors Affecting Success of Antimicrobial Resistance Interventions through the Lens of Experience: A Thematic Analysis. Antibiotics (Basel) 2022; 11:antibiotics11050639. [PMID: 35625282 PMCID: PMC9137464 DOI: 10.3390/antibiotics11050639] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/02/2022] [Accepted: 05/03/2022] [Indexed: 02/06/2023] Open
Abstract
Antimicrobial resistance (AMR) affects the environment, and animal and human health. Institutions worldwide have applied various measures, some of which have reduced antimicrobial use and AMR. However, little is known about factors influencing the success of AMR interventions. To address this gap, we engaged health professionals, designers, and implementers of AMR interventions in an exploratory study to learn about their experience and factors that challenged or facilitated interventions and the context in which interventions were implemented. Based on participant input, our thematic analysis identified behaviour; institutional governance and management; and sharing and enhancing information as key factors influencing success. Important sub-themes included: correct behaviour reinforcement, financial resources, training, assessment, and awareness of AMR. Overall, interventions were located in high-income countries, the human sector, and were publicly funded and implemented. In these contexts, behaviour patterns strongly influenced success, yet are often underrated or overlooked when designing AMR interventions. Improving our understanding of what contributes to successful interventions would allow for better designs of policies that are tailored to specific contexts. Exploratory approaches can provide encouraging results in complex challenges, as made evident in our study. Remaining challenges include more engagement in this type of study by professionals and characterisation of themes that influence intervention outcomes by context.
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Genomic analysis of Salmonella Typhimurium from humans and food sources accurately predicts phenotypic multi-drug resistance. Food Microbiol 2022; 103:103957. [DOI: 10.1016/j.fm.2021.103957] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/17/2021] [Accepted: 11/24/2021] [Indexed: 02/01/2023]
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Genomic Screening of Antimicrobial Resistance Markers in UK and US Campylobacter Isolates Highlights Stability of Resistance over an 18-Year Period. Antimicrob Agents Chemother 2022; 66:e0168721. [PMID: 35404076 PMCID: PMC9112873 DOI: 10.1128/aac.01687-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Campylobacter jejuni and Campylobacter coli are important bacterial causes of human foodborne illness. Despite several years of reduced antibiotics usage in livestock production in the United Kingdom (UK) and United States (US), a high prevalence of antimicrobial resistance (AMR) persists in Campylobacter. Both countries have instigated genome sequencing-based surveillance programs for Campylobacter, and in this study, we have identified AMR genes in 32,256 C. jejuni and 8,776 C. coli publicly available genome sequences to compare the prevalence and trends of AMR in Campylobacter isolated in the UK and US between 2001 and 2018. AMR markers were detected in 68% of C. coli and 53% of C. jejuni isolates, with 15% of C. coli isolates being multidrug resistant (MDR), compared to only 2% of C. jejuni isolates. The prevalence of aminoglycoside, macrolide, quinolone, and tetracycline resistance remained fairly stable from 2001 to 2018 in both C. jejuni and C. coli, but statistically significant differences were observed between the UK and US. There was a statistically significant higher prevalence of aminoglycoside and tetracycline resistance for US C. coli and C. jejuni isolates and macrolide resistance for US C. coli isolates. In contrast, UK C. coli and C. jejuni isolates showed a significantly higher prevalence of quinolone resistance. Specific multilocus sequence type (MLST) clonal complexes (e.g., ST-353/464) showed >95% quinolone resistance. This large-scale comparison of AMR prevalence has shown that the prevalence of AMR remains stable for Campylobacter in the UK and the US. This suggests that antimicrobial stewardship and restricted antibiotic usage may help contain further expansion of AMR prevalence in Campylobacter but are unlikely to reduce it in the short term.
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Lee KY, Atwill ER, Pitesky M, Huang A, Lavelle K, Rickard M, Shafii M, Hung-Fan M, Li X. Antimicrobial Resistance Profiles of Non-typhoidal Salmonella From Retail Meat Products in California, 2018. Front Microbiol 2022; 13:835699. [PMID: 35369434 PMCID: PMC8966841 DOI: 10.3389/fmicb.2022.835699] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/10/2022] [Indexed: 12/31/2022] Open
Abstract
Non-typhoidal Salmonella remains a leading cause of foodborne illness in the United States, with food animal products serving as a key conduit for transmission. The emergence of antimicrobial resistance (AMR) poses an additional public health concern warranting better understanding of its epidemiology. In this study, 958 retail meat samples collected from January to December 2018 in California were tested for Salmonella. From multivariable logistic regression, there was a 6.47 (90% CI 2.29–18.27), 3.81 (90% CI 1.29–11.27), and 3.12 (90% CI 1.03–9.45) higher odds of contamination in samples purchased in the fall, spring, and summer than in winter months, respectively, and a 3.70 (90% CI 1.05–13.07) higher odds in ground turkey compared to pork samples. Fourteen distinct serotypes and 17 multilocus sequence types were identified among the 43 isolates recovered, with S. Kentucky (25.58%), S. Reading (18.60%), S. Infantis (11.63%), and S. Typhimurium (9.30%) comprising the top serotypes. High prevalence of resistance was observed in retail chicken isolates for streptomycin (12/23, 52.17%) and tetracycline (12/23, 52.17%), in ground turkey isolates for ampicillin (8/15, 53.34%), and in ground beef isolates for nalidixic acid (2/3, 66.67%). Fourteen (32.56%) were susceptible to all antimicrobials tested, 11 (25.58%) were resistant to one drug, and 12 (27.91%) were resistant to two drugs. The remaining six isolates (13.95%) were multidrug-resistant (MDR, ≥3 drug classes) S. Infantis (n = 4), S. Reading (n = 1), and S. Kentucky (n = 1). Whole-genome sequencing (WGS) identified 16 AMR genes and 17 plasmid replicons, including blaCTX–M–65 encoding ceftriaxone resistance and a D87Y mutation in gyrA conferring resistance to nalidixic acid and reduced susceptibility to ciprofloxacin. The IncFIB(pN55391) replicon previously identified in connection to the worldwide dissemination of pESI-like mega plasmid carriage in an emerged S. Infantis clone was detected in four of the six MDR isolates. Genotypes from WGS showed high concordance with phenotype with overall sensitivity and specificity of 95.31% and 100%, respectively. This study provides insight into the AMR profiles of a diversity of Salmonella serotypes isolated from retail meat products in California and highlights the value of routine retail food surveillance for the detection and characterization of AMR in foodborne pathogens.
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Affiliation(s)
- Katie Yen Lee
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.,Western Institute for Food Safety and Security, University of California, Davis, Davis, CA, United States
| | - Edward Robert Atwill
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Maurice Pitesky
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Anny Huang
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Kurtis Lavelle
- Western Institute for Food Safety and Security, University of California, Davis, Davis, CA, United States
| | - Maribel Rickard
- Contra Costa County Public Health Laboratory, Martinez, CA, United States
| | - Marzieh Shafii
- Contra Costa County Public Health Laboratory, Martinez, CA, United States
| | - Melody Hung-Fan
- Contra Costa County Public Health Laboratory, Martinez, CA, United States
| | - Xunde Li
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.,Western Institute for Food Safety and Security, University of California, Davis, Davis, CA, United States
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Lassen SB, Ahsan ME, Islam SR, Zhou XY, Razzak MA, Su JQ, Brandt KK. Prevalence of antibiotic resistance genes in Pangasianodon hypophthalmus and Oreochromis niloticus aquaculture production systems in Bangladesh. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 813:151915. [PMID: 34826462 DOI: 10.1016/j.scitotenv.2021.151915] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/19/2021] [Accepted: 11/19/2021] [Indexed: 06/13/2023]
Abstract
Antibiotic resistance genes (ARGs) constitute emerging pollutants of significant public health concern. Antibiotics applied in aquaculture may stimulate the proliferation and dissemination of ARGs. This study investigated the prevalence and diversity of ARGs in Pangasianodon hypophthalmus (formerly Pangasius) and Oreochromis niloticus (formerly Tilapia) commercial aquaculture ponds from four economically important divisions (i.e. regions) of Bangladesh using a high-throughput qPCR ARG SmartChip and further aimed to explore effects of aquaculture pond management and water quality on the observed ARG prevalence patterns. A total of 160 ARGs and 10 mobile genetic elements (MGEs) were detected across all samples (n = 33), of which 76 ARGs and MGEs were shared between all regions. Multidrug resistance genes were the most frequently encountered ARGs, followed by ARGs conferring resistance to β-lactams, aminoglycosides, tetracyclines, and macrolide-lincosamide-streptogramin B (MLSB). Research ponds managed by the Bangladesh Agricultural University had the lowest abundance and diversity of ARGs, suggesting that proper management such as regular water quality monitoring, fortnightly water exchange and use of probiotics instead of antibiotics may mitigate the dissemination of antibiotic resistance from aquaculture ponds. The Adonis test (R2 = 0.35, p < 0.001) and distance decay relationships revealed that the ARGs composition displayed a significant biogeographical pattern (i.e., separation based on geographic origin). However, this effect could possibly be due to feed type as different feed types were used in different regions. In conclusion, our results indicate that there is a vast potential for improving aquaculture pond management practices in Bangladesh to mitigate the environmental dissemination of ARGs and their subsequent transmission to humans.
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Affiliation(s)
- Simon Bo Lassen
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg, Denmark; Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; Sino-Danish Center for Education and Research (SDC), University of Chinese Academy of Sciences, 380 Huaibeizhuang, Beijing, China
| | - Md Emranul Ahsan
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg, Denmark; Department of Aquaculture, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh; Department of Fisheries Management, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur 1706, Bangladesh
| | - Seikh Razibul Islam
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg, Denmark; Department of Aquaculture, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh
| | - Xin-Yuan Zhou
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China
| | - Muhammad Abdur Razzak
- Department of Aquaculture, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh
| | - Jian-Qiang Su
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China
| | - Kristian Koefoed Brandt
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg, Denmark; Sino-Danish Center for Education and Research (SDC), University of Chinese Academy of Sciences, 380 Huaibeizhuang, Beijing, China.
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Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr. Microorganisms 2022; 10:microorganisms10020292. [PMID: 35208747 PMCID: PMC8875511 DOI: 10.3390/microorganisms10020292] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/18/2022] [Accepted: 01/21/2022] [Indexed: 01/25/2023] Open
Abstract
Whole genome sequencing (WGS) of Salmonella supports both molecular typing and detection of antimicrobial resistance (AMR). Here, we evaluated the correlation between phenotypic antimicrobial susceptibility testing (AST) and in silico prediction of AMR from WGS in Salmonella enterica (n = 1321) isolated from human infections in Canada. Phenotypic AMR results from broth microdilution testing were used as the gold standard. To facilitate high-throughput prediction of AMR from genome assemblies, we created a tool called Staramr, which incorporates the ResFinder and PointFinder databases and a custom gene-drug key for antibiogram prediction. Overall, there was 99% concordance between phenotypic and genotypic detection of categorical resistance for 14 antimicrobials in 1321 isolates (18,305 of 18,494 results in agreement). We observed an average sensitivity of 91.2% (range 80.5–100%), a specificity of 99.7% (98.6–100%), a positive predictive value of 95.4% (68.2–100%), and a negative predictive value of 99.1% (95.6–100%). The positive predictive value of gentamicin was 68%, due to seven isolates that carried aac(3)-IVa, which conferred MICs just below the breakpoint of resistance. Genetic mechanisms of resistance in these 1321 isolates included 64 unique acquired alleles and mutations in three chromosomal genes. In general, in silico prediction of AMR in Salmonella was reliable compared to the gold standard of broth microdilution. WGS can provide higher-resolution data on the epidemiology of resistance mechanisms and the emergence of new resistance alleles.
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42
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Oberin M, Badger S, Faverjon C, Cameron A, Bannister-Tyrrell M. Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review. BMJ Glob Health 2022; 7:e007388. [PMID: 34983786 PMCID: PMC8728452 DOI: 10.1136/bmjgh-2021-007388] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/24/2021] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Electronic information systems (EIS) that implement a 'One Health' approach by integrating antimicrobial resistance (AMR) data across the human, animal and environmental health sectors, have been identified as a global priority. However, evidence on the availability, technical capacities and effectiveness of such EIS is scarce. METHODS Through a qualitative synthesis of evidence, this systematic scoping review aims to: identify EIS for AMR surveillance that operate across human, animal and environmental health sectors; describe their technical characteristics and capabilities; and assess whether there is evidence for the effectiveness of the various EIS for AMR surveillance. Studies and reports between 1 January 2000 and 21 July 2021 from peer-reviewed and grey literature in the English language were included. RESULTS 26 studies and reports were included in the final review, of which 27 EIS were described. None of the EIS integrated AMR data in a One Health approach across all three sectors. While there was a lack of evidence of thorough evaluations of the effectiveness of the identified EIS, several surveillance system effectiveness indicators were reported for most EIS. Standardised reporting of the effectiveness of EIS is recommended for future publications. The capabilities of the EIS varied in their technical design features, in terms of usability, data display tools and desired outputs. EIS that included interactive features, and geospatial maps are increasingly relevant for future trends in AMR data analytics. CONCLUSION No EIS for AMR surveillance was identified that was designed to integrate a broad range of AMR data from humans, animals and the environment, representing a major gap in global efforts to implement One Health approaches to address AMR.
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Affiliation(s)
- Madalene Oberin
- Ausvet, Fremantle, Western Australia, Australia
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Skye Badger
- Ausvet, Fremantle, Western Australia, Australia
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43
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Zhang M, Wang C, O’Connor A. A Bayesian approach to modeling antimicrobial multidrug resistance. PLoS One 2021; 16:e0261528. [PMID: 34965273 PMCID: PMC8716034 DOI: 10.1371/journal.pone.0261528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 12/03/2021] [Indexed: 11/23/2022] Open
Abstract
Multidrug resistance (MDR) has been a significant threat to public health and effective treatment of bacterial infections. Current identification of MDR is primarily based upon the large proportions of isolates resistant to multiple antibiotics simultaneously, and therefore is a belated evaluation. For bacteria with MDR, we expect to see strong correlations in both the quantitative minimum inhibitory concentration (MIC) and the binary susceptibility as classified by the pre-determined breakpoints. Being able to detect correlations from these two perspectives allows us to find multidrug resistant bacteria proactively. In this paper, we provide a Bayesian framework that estimates the resistance level jointly for antibiotics belonging to different classes with a Gaussian mixture model, where the correlation in the latent MIC can be inferred from the Gaussian parameters and the correlation in binary susceptibility can be inferred from the mixing weights. By augmenting the laboratory measurement with the latent MIC variable to account for the censored data, and by adopting the latent class variable to represent the MIC components, our model was shown to be accurate and robust compared with the current assessment of correlations. Applying the model to Salmonella heidelberg samples isolated from human participants in National Antimicrobial Resistance Monitoring System (NARMS) provides us with signs of joint resistance to Amoxicillin-clavulanic acid & Cephalothin and joint resistance to Ampicillin & Cephalothin. Large correlations estimated from our model could serve as a timely tool for early detection of MDR, and hence a signal for clinical intervention.
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Affiliation(s)
- Min Zhang
- Department of Statistics, Iowa State University, Ames, Iowa, United States of America
| | - Chong Wang
- Department of Statistics, Iowa State University, Ames, Iowa, United States of America
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, United States of America
- * E-mail:
| | - Annette O’Connor
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, United States of America
- Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, Michigan, United States of America
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44
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Pires J, Huisman JS, Bonhoeffer S, Van Boeckel TP. Increase in antimicrobial resistance in Escherichia coli in food animals between 1980 and 2018 assessed using genomes from public databases. J Antimicrob Chemother 2021; 77:646-655. [PMID: 34894245 DOI: 10.1093/jac/dkab451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 11/09/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Next-generation sequencing has considerably increased the number of genomes available in the public domain. However, efforts to use these genomes for surveillance of antimicrobial resistance have thus far been limited and geographically heterogeneous. We inferred global resistance trends in Escherichia coli in food animals using genomes from public databases. METHODS We retrieved 7632 E. coli genomes from public databases (NCBI, PATRIC and EnteroBase) and screened for antimicrobial resistance genes (ARGs) using ResFinder. Selection bias towards resistance, virulence or specific strains was accounted for by screening BioProject descriptions. Temporal trends for MDR, resistance to antimicrobial classes and ARG prevalence were inferred using generalized linear models for all genomes, including those not subjected to selection bias. RESULTS MDR increased by 1.6 times between 1980 and 2018, as genomes carried, on average, ARGs conferring resistance to 2.65 antimicrobials in swine, 2.22 in poultry and 1.58 in bovines. Highest resistance levels were observed for tetracyclines (42.2%-69.1%), penicillins (19.4%-47.5%) and streptomycin (28.6%-56.6%). Resistance trends were consistent after accounting for selection bias, although lower mean absolute resistance estimates were associated with genomes not subjected to selection bias (difference of 3.16%±3.58% across years, hosts and antimicrobial classes). We observed an increase in extended-spectrum cephalosporin ARG blaCMY-2 and a progressive substitution of tetB by tetA. Estimates of resistance prevalence inferred from genomes in the public domain were in good agreement with reports from systematic phenotypic surveillance. CONCLUSIONS Our analysis illustrates the potential of using the growing volume of genomes in public databases to track AMR trends globally.
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Affiliation(s)
- João Pires
- Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland
| | - Jana S Huisman
- Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | | | - Thomas P Van Boeckel
- Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.,Center for Disease Dynamics, Economics & Policy, New Delhi, India
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45
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Hodges LM, Taboada EN, Koziol A, Mutschall S, Blais BW, Inglis GD, Leclair D, Carrillo CD. Systematic Evaluation of Whole-Genome Sequencing Based Prediction of Antimicrobial Resistance in Campylobacter jejuni and C. coli. Front Microbiol 2021; 12:776967. [PMID: 34867917 PMCID: PMC8635091 DOI: 10.3389/fmicb.2021.776967] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/25/2021] [Indexed: 11/13/2022] Open
Abstract
The increasing prevalence of antimicrobial resistance (AMR) in Campylobacter spp. is a global concern. This study evaluated the use of whole-genome sequencing (WGS) to predict AMR in Campylobacter jejuni and C. coli. A panel of 271 isolates recovered from Canadian poultry was used to compare AMR genotype to antimicrobial susceptibility testing (AST) results (azithromycin, ciprofloxacin, erythromycin, gentamicin, tetracycline, florfenicol, nalidixic acid, telithromycin, and clindamycin). The presence of antibiotic resistance genes (ARGs) was determined for each isolate using five computational approaches to evaluate the effect of: ARG screening software, input data (i.e., raw reads, draft genome assemblies), genome coverage and genome assembly software. Overall, concordance between the genotype and phenotype was influenced by the computational pipelines, level of genome coverage and the type of ARG but not by input data. For example, three of the pipelines showed a 99% agreement between detection of a tet(O) gene and tetracycline resistance, whereas agreement between the detection of tet(O) and TET resistance was 98 and 93% for two pipelines. Overall, higher levels of genome coverage were needed to reliably detect some ARGs; for example, at 15X coverage a tet(O) gene was detected in >70% of the genomes, compared to <60% of the genomes for bla(OXA). No genes associated with florfenicol or gentamicin resistance were found in the set of strains included in this study, consistent with AST results. Macrolide and fluoroquinolone resistance was associated 100% with mutations in the 23S rRNA (A2075G) and gyrA (T86I) genes, respectively. A lower association between a A2075G 23S rRNA gene mutation and resistance to clindamycin and telithromycin (92.8 and 78.6%, respectively) was found. While WGS is an effective approach to predicting AMR in Campylobacter, this study demonstrated the impact that computational pipelines, genome coverage and the genes can have on the reliable identification of an AMR genotype.
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Affiliation(s)
- Lisa M Hodges
- Canadian Food Inspection Agency, Dartmouth, NS, Canada
| | | | - Adam Koziol
- Canadian Food Inspection Agency, Ottawa, ON, Canada
| | | | | | | | - Daniel Leclair
- Environment and Climate Change Canada, Ottawa, ON, Canada
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Genome-Wide Mutation Scoring for Machine-Learning-Based Antimicrobial Resistance Prediction. Int J Mol Sci 2021; 22:ijms222313049. [PMID: 34884852 PMCID: PMC8657983 DOI: 10.3390/ijms222313049] [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] [Received: 10/15/2021] [Revised: 11/25/2021] [Accepted: 11/29/2021] [Indexed: 01/21/2023] Open
Abstract
The prediction of antimicrobial resistance (AMR) based on genomic information can improve patient outcomes. Genetic mechanisms have been shown to explain AMR with accuracies in line with standard microbiology laboratory testing. To translate genetic mechanisms into phenotypic AMR, machine learning has been successfully applied. AMR machine learning models typically use nucleotide k-mer counts to represent genomic sequences. While k-mer representation efficiently captures sequence variation, it also results in high-dimensional and sparse data. With limited training data available, achieving acceptable model performance or model interpretability is challenging. In this study, we explore the utility of feature engineering with several biologically relevant signals. We propose to predict the functional impact of observed mutations with PROVEAN to use the predicted impact as a new feature for each protein in an organism’s proteome. The addition of the new features was tested on a total of 19,521 isolates across nine clinically relevant pathogens and 30 different antibiotics. The new features significantly improved the predictive performance of trained AMR models for Pseudomonas aeruginosa, Citrobacter freundii, and Escherichia coli. The balanced accuracy of the respective models of those three pathogens improved by 6.0% on average.
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47
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de Mesquita Souza Saraiva M, Lim K, do Monte DFM, Givisiez PEN, Alves LBR, de Freitas Neto OC, Kariuki S, Júnior AB, de Oliveira CJB, Gebreyes WA. Antimicrobial resistance in the globalized food chain: a One Health perspective applied to the poultry industry. Braz J Microbiol 2021; 53:465-486. [PMID: 34775576 PMCID: PMC8590523 DOI: 10.1007/s42770-021-00635-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 10/21/2021] [Indexed: 11/29/2022] Open
Abstract
Antimicrobial resistance (AMR) remains a major global public health crisis. The food animal industry will face escalating challenges to increase productivity while minimizing AMR, since the global demand for animal protein has been continuously increasing and food animals play a key role in the global food supply, particularly broiler chickens. As chicken products are sources of low-cost, high-quality protein, poultry production is an important economic driver for livelihood and survival in developed and developing regions. The globalization of the food supply, markedly in the poultry industry, is aligned to the globalization of the whole modern society, with an unprecedented exchange of goods and services, and transit of human populations among regions and countries. Considering the increasing threat posed by AMR, human civilization is faced with a complex, multifaceted problem compromising its future. Actions to mitigate antimicrobial resistance are needed in all sectors of the society at the human, animal, and environmental levels. This review discusses the problems associated with antimicrobial resistance in the globalized food chain, using the poultry sector as a model. We cover critical aspects of the emergence and dissemination of antimicrobial resistance in the poultry industry and their implications to public health in a global perspective. Finally, we provide current insights using the multidisciplinary One Health approach to mitigate AMR at the human-animal-environment interface.
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Affiliation(s)
- Mauro de Mesquita Souza Saraiva
- Department of Animal Science, Center for Agricultural Sciences, Federal University of Paraiba (CCA/UFPB), Areia, PB, Brazil.,Department of Pathology, Theriogenology, and One Health, Sao Paulo State University (FCAV-Unesp), Jaboticabal, SP, Brazil
| | - Kelvin Lim
- Veterinary Health Management Branch, National Parks Board, 6 Perahu Road, Singapore, Singapore
| | - Daniel Farias Marinho do Monte
- Department of Pathology, Theriogenology, and One Health, Sao Paulo State University (FCAV-Unesp), Jaboticabal, SP, Brazil
| | - Patrícia Emília Naves Givisiez
- Department of Animal Science, Center for Agricultural Sciences, Federal University of Paraiba (CCA/UFPB), Areia, PB, Brazil
| | - Lucas Bocchini Rodrigues Alves
- Department of Pathology, Theriogenology, and One Health, Sao Paulo State University (FCAV-Unesp), Jaboticabal, SP, Brazil
| | | | - Samuel Kariuki
- Kenya Medical Research Institute, Nairobi, Kenya.,Global One Health initiative (GOHi), The Ohio State University, Columbus, OH, USA
| | - Angelo Berchieri Júnior
- Department of Pathology, Theriogenology, and One Health, Sao Paulo State University (FCAV-Unesp), Jaboticabal, SP, Brazil
| | - Celso José Bruno de Oliveira
- Department of Animal Science, Center for Agricultural Sciences, Federal University of Paraiba (CCA/UFPB), Areia, PB, Brazil.,Global One Health initiative (GOHi), The Ohio State University, Columbus, OH, USA
| | - Wondwossen Abebe Gebreyes
- Global One Health initiative (GOHi), The Ohio State University, Columbus, OH, USA. .,Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH, 43210, USA.
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48
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Ahmad I, Khattak S, Ali R, Nawaz N, Ullah K, Khan SB, Ali M, Patching SG, Mustafa MZ. Prevalence and molecular characterization of multidrug‐resistant
Escherichia coli
O157
:
H7
from dairy milk in the Peshawar region of Pakistan. J Food Saf 2021. [DOI: 10.1111/jfs.12941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Irshad Ahmad
- Department of Molecular Biology and Genetics Institute of Basic Medical Sciences, Khyber Medical University Peshawar Pakistan
| | - Sonia Khattak
- Department of Molecular Biology and Genetics Institute of Basic Medical Sciences, Khyber Medical University Peshawar Pakistan
| | - Roshan Ali
- Department of Molecular Biology and Genetics Institute of Basic Medical Sciences, Khyber Medical University Peshawar Pakistan
| | - Nighat Nawaz
- Department of Chemistry Islamia College, Peshawar Peshawar Pakistan
| | - Kalim Ullah
- Department of Zoology Kohat University of Science & Technology Kohat Pakistan
| | - Sher Bahadar Khan
- Department of Animal Health The University of Agriculture Peshawar Pakistan
| | - Mumtaz Ali
- Directorate General of Livestock and Dairy Development Peshawar Pakistan
| | - Simon G. Patching
- School of Biomedical Sciences and Astbury Centre for Structural Molecular Biology, University of Leeds Leeds UK
| | - Mohammad Zahid Mustafa
- Center for Advanced Studies in Vaccinology and Biotechnology (CASVAB), University of Balochistan Quetta Pakistan
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49
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Abstract
PURPOSE OF REVIEW Antimicrobial resistance (AMR) in bacteria poses a major risk to global public health, with many factors contributing to the observed increase in AMR. International travel is one recognized contributor. The purpose of this review is to summarize current knowledge regarding the acquisition, carriage and spread of AMR bacteria by international travelers. RECENT FINDINGS Recent studies have highlighted that travel is an important risk factor for the acquisition of AMR bacteria, with approximately 30% of studied travelers returning with an acquired AMR bacterium. Epidemiological studies have shown there are three major risk factors for acquisition: travel destination, antimicrobial usage and travelers' diarrhea (TD). Analyses have begun to illustrate the AMR genes that are acquired and spread by travelers, risk factors for acquisition and carriage of AMR bacteria, and local transmission of imported AMR organisms. SUMMARY International travel is a contributor to the acquisition and dissemination of AMR organisms globally. Efforts to reduce the burden of AMR organisms should include a focus on international travelers. Routine genomic surveillance would further elucidate the role of international travel in the global spread of AMR bacteria.
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Affiliation(s)
- Sushmita Sridhar
- Division of Infectious Diseases, Massachusetts General Hospital
- Department of Medicine, Harvard Medical School
| | - Sarah E. Turbett
- Division of Infectious Diseases, Massachusetts General Hospital
- Department of Medicine, Harvard Medical School
- Department of Pathology
| | - Jason B. Harris
- Division of Pediatric Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Regina C. LaRocque
- Division of Infectious Diseases, Massachusetts General Hospital
- Department of Medicine, Harvard Medical School
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50
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Zhang M, Wang C, O'Connor AM. A Bayesian latent class mixture model with censoring for correlation analysis in antimicrobial resistance across populations. BMC Med Res Methodol 2021; 21:186. [PMID: 34544374 PMCID: PMC8454148 DOI: 10.1186/s12874-021-01384-w] [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: 09/28/2020] [Accepted: 09/02/2021] [Indexed: 11/28/2022] Open
Abstract
Background The emergence of antimicrobial resistance across populations is a global threat to public health. Surveillance programs often monitor human and animal populations to evaluate trends of emergence in these populations. Many national level antibiotic resistance surveillance programs quantify the proportion of resistant bacteria as a means of monitoring emergence and control measures. The reason for monitoring these different populations are many, including interest in similar changes in resistance which might provide insight into emergence and control options. Methods In this research, we developed a method to quantify the correlation in antimicrobial resistance across populations, for the conventionally unnoticed mean shift of the susceptible bacteria. With the proposed Bayesian latent class mixture model with censoring and multivariate normal hierarchy, we address several challenges associated with analyzing the minimum inhibitory concentration data. Results Application of this approach to the surveillance data from National Antimicrobial Resistance Monitoring System led to a detection of positive correlation in the central tendency of azithromycin resistance of the susceptible populations from Salmonella serotype Typhimurium across food animal and human populations. Conclusions Our proposed approach has been shown to be accurate and superior to the commonly used naïve estimation by simulation studies. Further implementation of this Bayesian model could serve as a useful tool to indicate the co-existence of antimicrobial resistance, and potentially a need of clinical intervention.
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Affiliation(s)
- Min Zhang
- Department of Statistics, Iowa State University, Ames, United States of America
| | - Chong Wang
- Department of Statistics, Iowa State University, Ames, United States of America. .,Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, United States of America.
| | - Annette M O'Connor
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, United States of America.,Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, United States of America
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