1
|
Gabor CE, Chong CE, Lemme-Dumit JM, Hazen TH, Baker KS, Kotloff KL, Kasumba IN, Tennant SM, Badji H, Hossain MJ, Omore R, Ochieng B, Awuor AO, Ogwel B, Juma J, Barry EM, Rasko DA. Characterization of Shigella flexneri serotype 6 strains from geographically diverse low- and middle-income countries. mBio 2025; 16:e0221024. [PMID: 39655936 PMCID: PMC11708030 DOI: 10.1128/mbio.02210-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 10/22/2024] [Indexed: 01/11/2025] Open
Abstract
Shigella flexneri serotype 6 (Sf6) is one of the most common serotypes recovered from surveillance studies of moderate to severe diarrhea. Despite the clinical significance of Sf6, this serotype is understudied. In this work, we have performed both serotype-specific genomic and phenotypic comparisons of Sf6 isolates to one another and non-S. flexneri serotypes. Comparative genomic analyses identified significant nucleotide homology between Sf6 strains (n = 325), despite a broad range of collection timeframes and geographic locations. We identified Sf6 specific factors, including a potential novel Shigella virulence factor (type II secretion system). Additionally, we identified established Shigella virulence genes (ospG) and metabolic genes (rutABCDEFGR) that were absent in Sf6 strains while present in the majority of 728 non-Sf6 strains. Complete sequencing of 11 clinical Sf6 strains, demonstrated that the Sf6 virulence plasmid (pINV) is ~38 kb smaller than the average non-Sf6 pINV (~228 kb). Comparisons of S. flexneri species level antibiotic susceptibility highlighted that clinical Sf6 isolates from Africa in the Global Enteric Multicenter Study (GEMS) and Vaccine Impact on Diarrhea in Africa (VIDA) study demonstrated geographic, serotype-specific susceptibility pattern. Phenotypic analyses of Sf6 identified reduced intracellular invasion and cytokine induction from HT-29 cells, as well as reduced Ipa protein effector secretion, compared with S. flexneri serotype 2a strain 2457T. Together these data highlight conserved and unique serotype-specific genotypic and phenotypic features for Sf6. This level of conservation has not been noted for other S. flexneri serotypes and is promising for vaccine and diagnostic assays to provide global Sf6-specific coverage.IMPORTANCEShigellosis is an ongoing global public health crisis with >270 million annual episodes among all age groups; however, the greatest disease burden is among children in low- and middle-income countries (LMIC). The lack of a licensed Shigella vaccine and the observed rise in antimicrobial-resistant Shigella spp. highlights the urgency for effective preventative and interventional strategies. The inclusion of S. flexneri serotype 6 (Sf6) is a necessary component of a multivalent vaccine strategies based on its clinical and epidemiological importance. Given the genomic diversity of Sf6 compared with other S. flexneri serotypes and Sf6 unique O-antigen core structure, serotype-specific characterization of Sf6 is a critical step to inform Shigella-directed vaccine and alternative therapeutic designs. Herein, we identified conserved genomic content among a large collection of temporally and geographically diverse Sf6 clinical isolates and characterized genotypic and phenotypic properties that separate Sf6 from non-Sf6 S. flexneri serotypes.
Collapse
Affiliation(s)
- Caitlin E. Gabor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Charlotte E. Chong
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Jose M. Lemme-Dumit
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Tracy H. Hazen
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kate S. Baker
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Karen L. Kotloff
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Irene N. Kasumba
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Sharon M. Tennant
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Henry Badji
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Banjul, The Gambia
| | - M. Jahangir Hossain
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Banjul, The Gambia
| | - Richard Omore
- Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Benjamin Ochieng
- Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Alex O. Awuor
- Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Billy Ogwel
- Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Jane Juma
- Kenya Medical Research Institute, Center for Global Health Research (KEMRI-CGHR), Kisumu, Kenya
| | - Eileen M. Barry
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - David A. Rasko
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Pathogen Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
2
|
Charles H, Sinka K, Simms I, Baker KS, Godbole G, Jenkins C. Trends in shigellosis notifications in England, January 2016 to March 2023. Epidemiol Infect 2024; 152:e115. [PMID: 39363593 PMCID: PMC11450503 DOI: 10.1017/s0950268824001006] [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: 04/03/2024] [Accepted: 06/13/2024] [Indexed: 10/05/2024] Open
Abstract
We reviewed all diagnoses of Shigella species notified to the UK Health Security Agency from January 2016 to March 2023. An overall increase in notifications of shigellosis was seen between 2016 (n = 415/quarter) and 2023 (n = 1 029/quarter). However, notifications dramatically declined between March 2020 and September 2021 during the COVID-19 pandemic (n = 208/quarter) highlighting the impact of travel and social distancing restrictions on transmission. S. sonnei diagnoses were more affected by lockdown restrictions than S. flexneri, most likely due to a combination of species-specific characteristics and host attributes. Azithromycin resistance continued to be associated with epidemics of sexually transmissible S. flexneri (adult males = 45.6% vs. adult females = 8.7%) and S. sonnei (adult males = 59.5% vs. adult females = 14.6%). We detected resistance to ciprofloxacin in S. sonnei from adult male cases not reporting travel at a higher frequency (79.4%) than in travel-associated cases (61.7%). Extensively drug-resistant Shigella species associated with sexual transmission among men almost exclusively had ESBL encoded by blaCTX-M-27, whereas those associated with returning travellers had blaCTX-M-15. Given the increasing incidence of infections and AMR, we recommend that enhanced surveillance is used to better understand the impact of travel and sexual transmission on the acquisition and spread of MDR and XDR Shigella species.
Collapse
Affiliation(s)
| | | | - Ian Simms
- UK Health Security Agency, London, UK
| | - Kate S. Baker
- Department of Genetics, University of Cambridge, Cambridge, UK
- NIHR Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK
| | | | - Claire Jenkins
- UK Health Security Agency, London, UK
- NIHR Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK
| |
Collapse
|
3
|
Chen C, Li SL, Xu YY, Liu J, Graham DW, Zhu YG. Characterising global antimicrobial resistance research explains why One Health solutions are slow in development: An application of AI-based gap analysis. ENVIRONMENT INTERNATIONAL 2024; 187:108680. [PMID: 38723455 DOI: 10.1016/j.envint.2024.108680] [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: 03/31/2024] [Revised: 04/16/2024] [Accepted: 04/19/2024] [Indexed: 05/19/2024]
Abstract
The global health crisis posed by increasing antimicrobial resistance (AMR) implicitly requires solutions based a One Health approach, yet multisectoral, multidisciplinary research on AMR is rare and huge knowledge gaps exist to guide integrated action. This is partly because a comprehensive survey of past research activity has never performed due to the massive scale and diversity of published information. Here we compiled 254,738 articles on AMR using Artificial Intelligence (AI; i.e., Natural Language Processing, NLP) methods to create a database and information retrieval system for knowledge extraction on research perfomed over the last 20 years. Global maps were created that describe regional, methodological, and sectoral AMR research activities that confirm limited intersectoral research has been performed, which is key to guiding science-informed policy solutions to AMR, especially in low-income countries (LICs). Further, we show greater harmonisation in research methods across sectors and regions is urgently needed. For example, differences in analytical methods used among sectors in AMR research, such as employing culture-based versus genomic methods, results in poor communication between sectors and partially explains why One Health-based solutions are not ensuing. Therefore, our analysis suggest that performing culture-based and genomic AMR analysis in tandem in all sectors is crucial for data integration and holistic One Health solutions. Finally, increased investment in capacity development in LICs should be prioritised as they are places where the AMR burden is often greatest. Our open-access database and AI methodology can be used to further develop, disseminate, and create new tools and practices for AMR knowledge and information sharing.
Collapse
Affiliation(s)
- Cai Chen
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shu-Le Li
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yao-Yang Xu
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute for Global Health and Development, Peking University, Beijing 100191, China
| | - David W Graham
- School of Engineering, Newcastle University, Newcastle, UK.
| | - Yong-Guan Zhu
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| |
Collapse
|
4
|
Asad A, Jahan I, Munni MA, Begum R, Mukta MA, Saif K, Faruque SN, Hayat S, Islam Z. Multidrug-resistant conjugative plasmid carrying mphA confers increased antimicrobial resistance in Shigella. Sci Rep 2024; 14:6947. [PMID: 38521802 PMCID: PMC10960829 DOI: 10.1038/s41598-024-57423-1] [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: 06/19/2023] [Accepted: 03/18/2024] [Indexed: 03/25/2024] Open
Abstract
Shigellosis remains a common gastrointestinal disease mostly in children < 5 years of age in developing countries. Azithromycin (AZM), a macrolide, is currently the first-line treatment for shigellosis in Bangladesh; ciprofloxacin (CIP) and ceftriaxone (CRO) are also used frequently. We aimed to evaluate the current epidemiology of antimicrobial resistance (AMR) and mechanism(s) of increasing macrolide resistance in Shigella in Bangladesh. A total of 2407 clinical isolates of Shigella from 2009 to 2016 were studied. Over the study period, Shigella sonnei was gradually increasing and become predominant (55%) over Shigella flexneri (36%) by 2016. We used CLSI-guided epidemiological cut-off value (ECV) for AZM in Shigella to set resistance breakpoints (zone-diameter ≤ 15 mm for S. flexneri and ≤ 11 mm for S. sonnei). Between 2009 and 2016, AZM resistance increased from 22% to approximately 60%, CIP resistance increased by 40%, and CRO resistance increased from zero to 15%. The mphA gene was the key macrolide resistance factor in Shigella; a 63MDa conjugative middle-range plasmid was harboring AZM and CRO resistance factors. Our findings show that, especially after 2014, there has been a rapid increase in resistance to the three most effective antibiotics. The rapid spread of macrolide (AZM) resistance genes among Shigella are driven by horizontal gene transfer rather than direct lineage.
Collapse
Affiliation(s)
- Asaduzzaman Asad
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Israt Jahan
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Moriam Akter Munni
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Ruma Begum
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Morium Akter Mukta
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Kazi Saif
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Shah Nayeem Faruque
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Shoma Hayat
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Zhahirul Islam
- Laboratory of Gut-Brain Axis, Infectious Diseases Division (IDD), icddr,b, 68, Shaheed Tajuddin Ahmad Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
| |
Collapse
|