[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-460690-105":59,"doc-detail-460690-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","antimicrobial-resistance-databases-opportunities-and-challenges-for-public-health","Antimicrobial resistance databases - opportunities and challenges for public health","","Antimicrobial resistance (AMR) databases support identification of AMR determinants from pathogen sequence data and enable prediction of resistance profiles, strengthening AMR surveillance and guiding public health interventions. The review compares freely available, regularly updated AMR databases, outlines how they contribute to public health decision-making, and details major challenges and opportunities for fully leveraging their potential in genomic surveillance workflows and downstream analyses.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/antimicrobial-resistance-databases-opportunities-and-challenges-for-public-health/460690/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/antimicrobial-resistance-databases-opportunities-and-challenges-for-public-health/460690.png","ImageObject",300,407,{"name":92,"@type":93},"Theodore","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-01","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What do AMR databases enable for public health use?","Question",{"text":113,"@type":114},"AMR databases help identify AMR determinants from pathogen sequence data and predict resistance profiles, supporting AMR surveillance and public health interventions.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What types of genetic features are covered as AMR determinants?",{"text":118,"@type":114},"AMR determinants include AMR genes and genetic modifications such as point mutations, insertions/deletions, and changes that alter targets, expression, uptake, or antibiotic removal.",{"name":120,"@type":111,"acceptedAnswer":121},"Why do AMR databases and tools differ, and what challenges does that create?",{"text":122,"@type":114},"Databases vary in size, scope, structure, content, annotation, curation approach, and update frequency, and tools differ in detection and reporting; this variation can affect coverage, assumptions, and phenotype prediction.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},460690,1790794999,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":105,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},7971461740886,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","npj | antimicrobials & resistance Review  \n\n| \u003Cbr>[https://doi.org/10.1038/s44259-025-00169-1](https://doi.org/10.1038/s44259-025-00169-1) |  |\n| --- | --- |\n| Antimicrobial resistance databases: opportunities and challenges for public health\u003Cbr> Check for updates |  |\n| Chad M. Centner1,3 , Sabrina Di Gregorio1,3, Silvia Argimón2, Alice Brankin1, Anna Dean1, Daniel Marcano Zamora1 & Silvia Bertagnolio1 |  |\n| Antimicrobial resistance (AMR) databases enable the identification of AMR determinants from pathogen sequence data and the prediction of resistance profiles, enhancing AMR surveillance and informing a range of public health interventions. This review compares freely available and regularly updated AMR databases, explores their public health value and highlights key challenges to and opportunities for fully harnessing their potential. |  |\n| Bacterial antimicrobial resistance (AMR) is one of the most significant challenges facing human health and requires urgent action1 Next generation sequencing technologies, including whole-genome sequencing (WGS), are increasingly used to monitor AMR and inform public health interventions, such as surveillance2,3, outbreak management4, infection prevention and control5, programmatic care6, and diagnostics development7. Genomic surveillance of AMR and knowledge of AMR determinants were identified as global strategic and research priorities8–10,including and rapid accurate methods to detect them11.\u003Cbr>Resistance maybe intrinsic(i.e. naturally found ina species)or acquired (e.g., though mutation or horizontal gene transfer). AMR determinants are genes and genetic modifications that confer resistance to one or more antibiotics and antibiotic classes. AMR genes encode proteins that modify the antibiotic (e.g., β-lactamases), modify and protect the antibiotic target site (e.g., ribosomal RNA methyltransferases), provide an additional target for which the antibiotic has reduced affinity (e.g., altered penicillin binding proteins), provide alternative metabolic pathways bypassing the antibiotic’s action (e.g., dihydrofolate reductases) or that extrude the antibiotic outside the cell(e.g., efflux pumps)12, 13. Acquired AMR genes are often gained en bloc byhorizontal gene transfer ofmobile genetic elements that can move between DNA molecules, such as insertion sequences and transposons, or between bacterial cells, such as plasmids and integrative conjugative elements14.\u003Cbr>Genetic modifications associated with resistance may change a single nucleotide (point mutations) or involve larger rearrangements (insertions or deletions) affecting either coding or regulatory regions. They may lead to alteration ofthe antibiotic target site(e.g., point mutations in rpoB leading torifampicin resistance in M. tuberculosis), increased expression of an antibiotic target (e.g., point mutations in the promoter offolA encoding dihydrofolate reductase, the target of trimethoprim), or decreased antibiotic uptake (e.g., a small insertion in the ompK36 porin gene, or an in-frame | deletion in the oprD porin gene leading to decreased antibiotic permeability)12, 13. Replacement of natural gene promoters with stronger promoters from insertion sequences via horizontal gene transfer also leads to resistance. For example, insertion of ISAba1 upstream of naturallyoccuring blaampC in Acinetobacter baumannii leads to cephalosporinase overproduction and cephalosporin resistance15.\u003Cbr>Databases of AMR determinants are curated repositories that store reference nucleotide and protein sequences of genes known to confer resistance, as well as wild-type genes or sequences that can confer resistance when modified. They also include associated information needed to identify these sequences in pathogen genomes, such as rules, computational models and classification hierarchies. As such, they need to capture the diversity of genes and genetic modifications associated with resistance. However, currently available databases vary widely in size, scope","cbCaiiWMDveXKlxN","https://ap.wps.com/l/cbCaiiWMDveXKlxN","pdf",618188,"English","# Antimicrobial resistance databases: opportunities and challenges for public health\n## Role of AMR databases in surveillance and intervention planning\n## Types of AMR determinants and mechanisms\n## Database curation needs, variation, and scope\n## Bioinformatic tools linking databases to phenotype prediction","[{\"question\":\"What do AMR databases enable for public health use?\",\"answer\":\"AMR databases help identify AMR determinants from pathogen sequence data and predict resistance profiles, supporting AMR surveillance and public health interventions.\"},{\"question\":\"What types of genetic features are covered as AMR determinants?\",\"answer\":\"AMR determinants include AMR genes and genetic modifications such as point mutations, insertions/deletions, and changes that alter targets, expression, uptake, or antibiotic removal.\"},{\"question\":\"Why do AMR databases and tools differ, and what challenges does that create?\",\"answer\":\"Databases vary in size, scope, structure, content, annotation, curation approach, and update frequency, and tools differ in detection and reporting; this variation can affect coverage, assumptions, and phenotype prediction.\"}]","Antimicrobial resistance databases - opportunities and challenges for public health | PDF",1790759116,28]