# | Rank | Similarity | Title + Abs. | Year | PMID |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 |
| 5108 | 0 | 1.0000 | Surveillance of antimicrobial resistance: the WHONET program. Genes expressing resistance to each antimicrobial agent emerged after each agent became widely used. More than a hundred such genes now spread selectively through global networks of populations of bacteria in humans or animals treated with those agents. Information to monitor and manage this spread exists in the susceptibility test results of tens of thousands of laboratories around the world. The comparability of those results is uncertain, however, and their storage in paper files or in computer files with diverse codes and formats has made them inaccessible for analysis. The WHONET program puts each laboratory's data into a common code and file format at that laboratory, either by serving as or by translating from its own computer reporting system. It then enables each medical center to analyze its files in ways that help it monitor and manage resistance locally and to merge them with files of other centers for collaborative national or global surveillance of resistance. | 1997 | 8994799 |
| 4329 | 1 | 0.9998 | Bacterial resistance: new threats, new challenges. Bacterial resistance remains a major concern. Recently, genetic transfers from saprophytic, non-pathogenic, species to pathogenic S. pneumoniae and N. meningitidis have introduced multiple changes in the penicillin target molecules, leading to rapidly growing penicillin resistance. In enterobacteriaceae, a succession of minute mutations has generated new beta-lactamases with increasingly expanded spectrum, now covering practically all available beta-lactam antibiotics. Resistance emerges in the hospital environment but also, and increasingly, in the community bacteria. Widespread resistance is probably associated with antibiotic use, abuse and misuse but direct causality links are difficult to establish. In some countries as in some hospitals, unusual resistance profiles seem to correspond to unusual antibiotic practices. For meeting the resistance challenge, no simple solutions are available, but combined efforts may help. For improving the situation, the following methods can be proposed. At the world level, a better definition of appropriate antibiotic policies should be sought, together with strong education programmes on the use of antibiotics and the control of cross-infections, plus controls on the strategies used by pharmaceutical companies for promoting antibiotics. At various local levels, accurate guidelines should be adapted to each institution and there should be regularly updated formularies using scientific, and not only economic, criteria; molecular technologies for detecting subtle epidemic variations and emergence of new genes should be developed and regular information on the resistance profiles should be available to all physicians involved in the prevention and therapy of infections. | 1993 | 8149138 |
| 4341 | 2 | 0.9998 | Antimicrobial Resistance in Nontyphoidal Salmonella. Non-typhoidal Salmonella is the most common foodborne bacterial pathogen in most countries. It is widely present in food animal species, and therefore blocking its transmission through the food supply is a prominent focus of food safety activities worldwide. Antibiotic resistance in non-typhoidal Salmonella arises in large part because of antibiotic use in animal husbandry. Tracking resistance in Salmonella is required to design targeted interventions to contain or diminish resistance and refine use practices in production. Many countries have established systems to monitor antibiotic resistance in Salmonella and other bacteria, the earliest ones appearing the Europe and the US. In this chapter, we compare recent Salmonella antibiotic susceptibility data from Europe and the US. In addition, we summarize the state of known resistance genes that have been identified in the genus. The advent of routine whole genome sequencing has made it possible to conduct genomic surveillance of resistance based on DNA sequences alone. This points to a new model of surveillance in the future that will provide more definitive information on the sources of resistant Salmonella, the specific types of resistance genes involved, and information on how resistance spreads. | 2018 | 30027887 |
| 4885 | 3 | 0.9998 | A Review of the Diagnostic Approaches for the Detection of Antimicrobial Resistance, Including the Role of Biosensors in Detecting Carbapenem Resistance Genes. Antimicrobial resistance (AMR) is a rapidly growing global concern resulting from the overuse of antibiotics in both agricultural and clinical settings, the lack of surveillance for resistant bacteria, and the low quality of some available antimicrobial agents. Resistant pathogens are no longer susceptible to common clinical antimicrobials, which decreases the effectiveness of medicines used to treat infections caused by these organisms. Carbapenems are an important class of antibiotics due to their broad-spectrum effectiveness in treating infections caused by Gram-positive and Gram-negative organisms. Carbapenem-resistant bacteria have been found not only in healthcare but also in the environment and food supply chain, where they have the potential to spread to pathogens and infect humans and animals. Current methods of detecting AMR genes are expensive and time-consuming. While these methods, like polymerase chain reactions or whole-genome sequencing, are considered the "gold standard" for diagnostics, the development of inexpensive, rapid diagnostic assays is necessary for effective AMR detection and management. Biosensors have shown potential for success in diagnostic testing due to their ease of use, inexpensive materials, rapid results, and portable nature. Biosensors can be combined with nanomaterials to produce sensitive and easily interpretable results. This review presents an overview of carbapenem resistance, current and emerging detection methods of antimicrobial resistance, and the application of biosensors for rapid diagnostic testing for bacterial resistance. | 2025 | 40725449 |
| 4886 | 4 | 0.9998 | Molecular diagnostics for genotypic detection of antibiotic resistance: current landscape and future directions. Antimicrobial resistance (AMR) among bacteria is an escalating public health emergency that has worsened during the COVID-19 pandemic. When making antibiotic treatment decisions, clinicians rely heavily on determination of antibiotic susceptibility or resistance by the microbiology laboratory, but conventional methods often take several days to identify AMR. There are now several commercially available molecular methods that detect antibiotic resistance genes within hours rather than days. While these methods have limitations, they offer promise for optimizing treatment and patient outcomes, and reducing further emergence of AMR. This review provides an overview of commercially available genotypic assays that detect individual resistance genes and/or resistance-associated mutations in a variety of specimen types and discusses how clinical outcomes studies may be used to demonstrate clinical utility of such diagnostics. | 2023 | 36816746 |
| 4337 | 5 | 0.9998 | Monitoring of antibiotic resistance in bacteria of animal origin: epidemiological and microbiological methodologies. The occurrence of antibiotic-resistant bacteria in food animals is a major public health threat. Information on the prevalence of resistance to specific drugs in both bacterial and animal species together with changes occurring over time, are necessary to understand the magnitude of the problem and to establish baselines for taking action. The aim of this paper is to define the minimum epidemiological and microbiological requirements for establishing a surveillance of antimicrobial resistance in bacteria of animal origin. Surveillance should involve different bacterial species, veterinary pathogens, zoonotic bacteria and commensal bacteria used as indicators. The collected data should be periodically updated and the reports distributed among practising veterinarians and regulatory authorities. These reports would be a useful tool for developing guidelines for the prudent use of antimicrobial agents in veterinary medicine and for action strategies. | 2000 | 10794950 |
| 5112 | 6 | 0.9998 | Genome-Based Prediction of Bacterial Antibiotic Resistance. Clinical microbiology has long relied on growing bacteria in culture to determine antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic susceptibility testing (WGS-AST) is now a powerful alternative. This review discusses the technologies that made this possible and presents results from recent studies to predict resistance based on genome sequences. We examine differences between calling antibiotic resistance profiles by the simple presence or absence of previously known genes and single-nucleotide polymorphisms (SNPs) against approaches that deploy machine learning and statistical models. Often, the limitations to genome-based prediction arise from limitations of accuracy of culture-based AST in addition to an incomplete knowledge of the genetic basis of resistance. However, we need to maintain phenotypic testing even as genome-based prediction becomes more widespread to ensure that the results do not diverge over time. We argue that standardization of WGS-AST by challenge with consistently phenotyped strain sets of defined genetic diversity is necessary to compare the efficacy of methods of prediction of antibiotic resistance based on genome sequences. | 2019 | 30381421 |
| 4328 | 7 | 0.9998 | Bugs for the next century: the issue of antibiotic resistance. OBJECTIVE: To address the issue of emerging antibiotic resistance and examine which organisms will continue to pose problems in the new century. METHODS: Review of articles pertaining to bacteria recognised for increasing resistance. RESULTS: Changing resistance patterns are correlated with patterns of antibiotic use. This results in fewer effective drugs against "old" established bacteria e.g. gram-positives such as Streptococcus pneumoniae and Staphylococcus aureus. Resistance in gram-negative bacteria is also steadily increasing. Nosocomial gram-negative bacteria are capable of many different resistance mechanisms, often rendering them multiply-resistant. Antibiotic resistance results in morbidity and mortality from treatment failures and increased health care costs. CONCLUSION: Despite extensive research and enormous resources spent, the pace of drug development has not kept up with the development of resistance. As resistance spreads, involving more and more organisms, there is concern that we may be nearing the end of the antimicrobial era. Measures that can and should be taken to counter this threat of antimicrobial resistance include co-ordinated surveillance, rational antibiotic usage, better compliance with infection control and greater use of vaccines. | 2001 | 11379419 |
| 4333 | 8 | 0.9998 | New trends in regulatory rules and surveillance of antimicrobial resistance in bacteria of animal origin. Since the introduction in the 1940s of antibiotics as drugs against bacterial infections in human and then veterinary medicine, two major events have caused a shift in the antibiotherapy era: (1) the emergence of resistant bacteria and (2) the awareness of the limits of new drug development. It rapidly became urgent to set up measures in order to evaluate the importance of resistant bacteria and their origin as well as to limit the dissemination of resistant vectors (bacteria and bacterial genes). This led to the establishment of guidelines and regulatory rules necessary for risk assessment and clearly dependent upon monitoring and research organisations. At a veterinary level, the possible dissemination of multiresistant bacteria from animals to humans, through feeding, urged various national European and international institutions to give general recommendations to monitor and contain the emergence and diffusion of resistant strains. This paper gives an overview of the evolution of regulatory rules and monitoring systems dealing with multiresistant bacteria. | 2001 | 11432426 |
| 4200 | 9 | 0.9998 | Antibiotic resistance: are we all doomed? Antibiotic resistance is a growing and worrying problem associated with increased deaths and suffering for people. Overall, there are only two factors that drive antimicrobial resistance, and both can be controlled. These factors are the volumes of antimicrobials used and the spread of resistant micro-organisms and/or the genes encoding for resistance. The One Health concept is important if we want to understand better and control antimicrobial resistance. There are many things we can do to better control antimicrobial resistance. We need to prevent infections. We need to have better surveillance with good data on usage patterns and resistance patterns available across all sectors, both human and agriculture, locally and internationally. We need to act on these results when we see either inappropriate usage or resistance levels rising in bacteria that are of concern for people. We need to ensure that food and water sources do not spread multi-resistant micro-organisms or resistance genes. We need better approaches to restrict successfully what and how antibiotics are used in people. We need to restrict the use of 'critically important' antibiotics in food animals and the entry of these drugs into the environment. We need to ensure that 'One Health' concept is not just a buzz word but implemented. We need to look at all sectors and control not only antibiotic use but also the spread and development of antibiotic resistant bacteria - both locally and internationally. | 2015 | 26563691 |
| 4302 | 10 | 0.9998 | Control of antibiotic-resistant bacteria: memorandum from a WHO meeting. Control of the prevalence of antibiotic-resistant bacteria is essential for the appropriate use of antibiotics for prophylaxis and treatment of infections. Hospitals are regarded as the place where antibiotic-resistant bacteria might often develop. Control of antibiotic use in hospitals is therefore one of the most important measures for effective control of antibiotic resistance. Another effective means to control antibiotic resistance is to develop a surveillance programme on a national, and international scale. This would be of great assistance, especially for forecasting future changes in the resistance of bacteria. The prevention of disease by measures other than the use of antibiotics could also reduce antibiotic resistance.This Memorandum of the WHO Scientific Working Group on Antibiotic Resistance describes the measures for controlling the prevalence of antibiotic-resistant bacteria by (a) the surveillance of antibiotic resistance, including surveillance of resistance in human pathogens and resistance determinants in the general population, and (b) control of antibiotic use in hospitals, the essential elements of which are the establishment of appropriate hospital antibiotic policy, elaboration of general strategy, and the monitoring of antibiotic use. Further research needs are also described and a number of areas are indicated where research might lead to improvements in antibiotic use and in methods for the containment of resistance. Guidelines for the appropriate use of antibiotics are presented in an Annex. | 1983 | 6603916 |
| 4335 | 11 | 0.9998 | Veterinary drug usage and antimicrobial resistance in bacteria of animal origin. In the production of food animals, large amounts of antimicrobial agents are used for therapy and prophylaxis of bacterial infections and in feed to promote growth. There are large variations in the amounts of antimicrobial agents used to produce the same amount of meat among the different European countries, which leaves room for considerable reductions in some countries. The emergence of resistant bacteria and resistance genes due to the use of antimicrobial agents are well documented. In Denmark it has been possible to reduce the usage of antimicrobial agents for food animals significantly and in general decreases in resistance have followed. Guidelines for prudent use of antimicrobial agents may help to slow down the selection for resistance and should be based on knowledge regarding the normal susceptibility patterns of the causative agents and take into account the potential problems for human health. Current knowledge regarding the occurrence of antimicrobial resistance in food animals, the quantitative impact of the use of different antimicrobial agents on selection of resistance and the most appropriate treatment regimes to limit the development of resistance is incomplete. Programmes monitoring the occurrence and development of resistance and consumption of antimicrobial agents are strongly desirable, as is research into the most appropriate ways to use antimicrobial agents in veterinary medicine. | 2005 | 15755309 |
| 4300 | 12 | 0.9998 | A review: antimicrobial resistance data mining models and prediction methods study for pathogenic bacteria. Antimicrobials have paved the way for medical and social development over the last century and are indispensable for treating infections in humans and animals. The dramatic spread and diversity of antibiotic-resistant pathogens have significantly reduced the efficacy of essentially all antibiotic classes and is a global problem affecting human and animal health. Antimicrobial resistance is influenced by complex factors such as resistance genes and dosing, which are highly nonlinear, time-lagged and multivariate coupled, and the amount of resistance data is large and redundant, making it difficult to predict and analyze. Based on machine learning methods and data mining techniques, this paper reviews (1) antimicrobial resistance data storage and analysis techniques, (2) antimicrobial resistance assessment methods and the associated risk assessment methods for antimicrobial resistance, and (3) antimicrobial resistance prediction methods. Finally, the current research results on antimicrobial resistance and the development trend are summarized to provide a systematic and comprehensive reference for the research on antimicrobial resistance. | 2021 | 34522024 |
| 9569 | 13 | 0.9998 | The global epidemic nature of antimicrobial resistance and the need to monitor and manage it locally. An antimicrobial agent may be used for years before a gene expressing resistance to it emerges in a strain of bacteria somewhere. Progeny of that strain, or of others to which the gene is transferred, may then disseminate preferentially through global networks of bacterial populations on people or animals treated with that agent or with other agents as the gene becomes linked to genes expressing resistance to them. Over 100 resistance genes-varying in their frequency of emergence, vectors, linkages, and pathways-have thus emerged, reemerged, converged, and disseminated irregularly through the world's bacterial ecosystems over the last 60 years to reach infecting strains and block treatment of infection. We may delay emergence by using agents less and retard dissemination by good hygiene, infection control measures, and avoidance of agents that select for resistance genes in contiguous populations. Local monitoring and management of resistance appear essential because of the intricacies of tracing and targeting the problems at each place and because national or global surveillance and strategy develop from local information and understanding. | 1997 | 8994775 |
| 4332 | 14 | 0.9998 | Development and transmission of antimicrobial resistance among Gram-negative bacteria in animals and their public health impact. Gram-negative bacteria are known to cause severe infections in both humans and animals. Antimicrobial resistance (AMR) in Gram-negative bacteria is a major challenge in the treatment of clinical infections globally due to the propensity of these organisms to rapidly develop resistance against antimicrobials in use. In addition, Gram-negative bacteria possess highly efficient mechanisms through which the AMR can be disseminated between pathogenic and commensal bacteria of the same or different species. These unique traits of Gram-negative bacteria have resulted in evolution of Gram-negative bacterial strains demonstrating resistance to multiple classes of antimicrobials. The evergrowing resistance issue has not only resulted in limitation of treatment options but also led to increased treatment costs and mortality rates in humans and animals. With few or no new antimicrobials in production to combat severe life-threatening infections, AMR has been described as the one of the most severe, long-term threats to human health. Aside from overuse and misuse of antimicrobials in humans, another factor that has exacerbated the emergence of AMR in Gram-negative bacteria is the veterinary use of antimicrobials that belong to the same classes considered to be critically important for treating serious life-threatening infections in humans. Despite the fact that development of AMR dates back to before the introduction of antimicrobials, the recent surge in the resistance towards all available critically important antimicrobials has emerged as a major public health issue. This review thus focuses on discussing the development, transmission and public health impact of AMR in Gram-negative bacteria in animals. | 2017 | 28258227 |
| 4297 | 15 | 0.9998 | Predicting clinical resistance prevalence using sewage metagenomic data. Antibiotic resistance surveillance through regional and up-to-date testing of clinical isolates is a foundation for implementing effective empirical treatment. Surveillance data also provides an overview of geographical and temporal changes that are invaluable for guiding interventions. Still, due to limited infrastructure and resources, clinical surveillance data is lacking in many parts of the world. Given that sewage is largely made up of human fecal bacteria from many people, sewage epidemiology could provide a cost-efficient strategy to partly fill the current gap in clinical surveillance of antibiotic resistance. Here we explored the potential of sewage metagenomic data to assess clinical antibiotic resistance prevalence using environmental and clinical surveillance data from across the world. The sewage resistome correlated to clinical surveillance data of invasive Escherichia coli isolates, but none of several tested approaches provided a sufficient resolution for clear discrimination between resistance towards different classes of antibiotics. However, in combination with socioeconomic data, the overall clinical resistance situation could be predicted with good precision. We conclude that analyses of bacterial genes in sewage could contribute to informing management of antibiotic resistance. | 2020 | 33244050 |
| 4340 | 16 | 0.9998 | Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring. The laboratory identification of antibacterial resistance is a cornerstone of infectious disease medicine. In vitro antimicrobial susceptibility testing has long been based on the growth response of organisms in pure culture to a defined concentration of antimicrobial agents. By comparing individual isolates to wild-type susceptibility patterns, strains with acquired resistance can be identified. Acquired resistance can also be detected genetically. After many decades of research, the inventory of genes underlying antimicrobial resistance is well known for several pathogenic genera including zoonotic enteric organisms such as Salmonella and Campylobacter and continues to grow substantially for others. With the decline in costs for large scale DNA sequencing, it is now practicable to characterize bacteria using whole genome sequencing, including the carriage of resistance genes in individual microorganisms and those present in complex biological samples. With genomics, we can generate comprehensive, detailed information on the bacterium, the mechanisms of antibiotic resistance, clues to its source, and the nature of mobile DNA elements by which resistance spreads. These developments point to a new paradigm for antimicrobial resistance detection and tracking for both clinical and public health purposes. | 2021 | 33010049 |
| 5113 | 17 | 0.9998 | Identification of bacterial antibiotic resistance genes in next-generation sequencing data (review of literature). The spread of antibiotic-resistant human bacterial pathogens is a serious threat to modern medicine. Antibiotic susceptibility testing is essential for treatment regimens optimization and preventing dissemination of antibiotic resistance. Therefore, development of antibiotic susceptibility testing methods is a priority challenge of laboratory medicine. The aim of this review is to analyze the capabilities of the bioinformatics tools for bacterial whole genome sequence data processing. The PubMed database, Russian scientific electronic library eLIBRARY, information networks of World health organization and European Society of Clinical Microbiology and Infectious Diseases (ESCMID) were used during the analysis. In this review, the platforms for whole genome sequencing, which are suitable for detection of bacterial genetic resistance determinants, are described. The classic step of genetic resistance determinants searching is an alignment between the query nucleotide/protein sequence and the subject (database) nucleotide/protein sequence, which is performed using the nucleotide and protein sequence databases. The most commonly used databases are Resfinder, CARD, Bacterial Antimicrobial Resistance Reference Gene Database. The results of the resistance determinants searching in genome assemblies is more correct in comparison to results of the searching in contigs. The new resistance genes searching bioinformatics tools, such as neural networks and machine learning, are discussed in the review. After critical appraisal of the current antibiotic resistance databases we designed a protocol for predicting antibiotic resistance using whole genome sequence data. The designed protocol can be used as a basis of the algorithm for qualitative and quantitative antimicrobial susceptibility testing based on whole genome sequence data. | 2021 | 34882354 |
| 4334 | 18 | 0.9997 | Association between the consumption of antimicrobial agents in animal husbandry and the occurrence of resistant bacteria among food animals. Antimicrobial agents are used in food animals for therapy and prophylaxis of bacterial infections and in feed to promote growth. The use of antimicrobial agents for food animals may cause problems in the therapy of infections by selecting for resistance among bacteria pathogenic for animals or humans. The emergence of resistant bacteria and resistance genes following the use of antimicrobial agents is relatively well documented and it seems evident that all antimicrobial agents will select for resistance. However, current knowledge regarding the occurrence of antimicrobial resistance in food animals, the quantitative impact of the use of different antimicrobial agents on selection for resistance and the most appropriate treatment regimens to limit the development of resistance is incomplete. Surveillance programmes monitoring the occurrence and development of resistance and consumption of antimicrobial agents are urgently needed, as is research into the most appropriate ways to use antimicrobial agents in veterinary medicine to limit the emergence and spread of antimicrobial resistance. | 1999 | 10493603 |
| 4317 | 19 | 0.9997 | Development and spread of bacterial resistance to antimicrobial agents: an overview. Resistance to antimicrobial agents is emerging in a wide variety of nosocomial and community-acquired pathogens. The emergence and spread of multiply resistant organisms represent the convergence of a variety of factors that include mutations in common resistance genes that extend their spectrum of activity, the exchange of genetic information among microorganisms, the evolution of selective pressures in hospitals and communities that facilitate the development and spread of resistant organisms, the proliferation and spread of multiply resistant clones of bacteria, and the inability of some laboratory testing methods to detect emerging resistance phenotypes. Twenty years ago, bacteria that were resistant to antimicrobial agents were easy to detect in the laboratory because the concentration of drug required to inhibit their growth was usually quite high and distinctly different from that of susceptible strains. Newer mechanisms of resistance, however, often result in much more subtle shifts in bacterial population distributions. Perhaps the most difficult phenotypes to detect, as shown in several proficiency testing surveys, are decreased susceptibility to beta-lactams in pneumococci and decreased susceptibility to vancomycin in staphylococci. In summary, emerging resistance has required adaptations and modifications of laboratory diagnostic techniques, empiric anti-infective therapy for such diseases as bacterial meningitis, and infection control measures in health care facilities of all kinds. Judicious use is imperative if we are to preserve our arsenal of antimicrobial agents into the next decade. | 2001 | 11524705 |