Plantaricin A, Derived from Lactiplantibacillus plantarum, Reduces the Intrinsic Resistance of Gram-Negative Bacteria to Hydrophobic Antibiotics DOI
Fanqiang Meng, Yanan Liu, Ting Nie

и другие.

Applied and Environmental Microbiology, Год журнала: 2022, Номер 88(10)

Опубликована: Май 2, 2022

The outer membrane of Gram-negative bacteria is one the major factors contributing to development antibiotic resistance, resulting in a lack effectiveness several hydrophobic antibiotics. Plantaricin A (PlnA) intensifies potency antibiotics by increasing permeability bacterial membrane. Moreover, it has been proven bind lipopolysaccharide Escherichia coli via electrostatic and interactions interfere with integrity Based on this mechanism, we designed series PlnA1 analogs changing structure, hydrophobicity, charge enhance their membrane-permeabilizing ability. Subsequent analyses revealed that among analogs, OP4 demonstrated highest penetrating ability, weaker cytotoxicity, higher therapeutic index. In addition, decelerated resistance when E. cells were continuously exposed sublethal concentrations erythromycin ciprofloxacin for 30 generations. Further

Язык: Английский

Heavy metal-induced selection and proliferation of antibiotic resistance: A review DOI Open Access

Prakriti Vats,

Ujjwal Jit Kaur,

Praveen Rishi

и другие.

Journal of Applied Microbiology, Год журнала: 2022, Номер 132(6), С. 4058 - 4076

Опубликована: Фев. 16, 2022

Abstract Antibiotic resistance is recognized as a global threat to public health. The selection and evolution of antibiotic in clinical pathogens were believed be majorly driven by the imprudent use antibiotics. However, concerns regarding same, through pressure multitude other antimicrobial agents, such heavy metals, are also growing. Heavy metal contamination co-selects numerous mechanisms, co-resistance cross-resistance. Here, we have reviewed role metals driving agents underlying concept mechanisms co-selection, while highlighting scarcity studies explicitly inspecting process co-selection settings. Prospective strategies manage metal-induced been deliberated, underlining need find specific inhibitors so that alternate medicinal combinations can added existing therapeutic armamentarium.

Язык: Английский

Процитировано

103

Global surveillance of antimicrobial resistance in food animals using priority drugs maps DOI Creative Commons
Cheng Zhao, Yu Wang, Ranya Mulchandani

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Янв. 26, 2024

Abstract Antimicrobial resistance (AMR) in food animals is a growing threat to animal health and potentially human health. In resource-limited settings, allocating resources address AMR can be guided with maps. Here, we mapped prevalence 7 antimicrobials Escherichia coli nontyphoidal Salmonella species across low- middle-income countries (LIMCs), using 1088 point-prevalence surveys combination geospatial model. Hotspots of were predicted China, India, Brazil, Chile, part central Asia southeastern Africa. The highest was for tetracycline (59% E. 54% , average LMICs) lowest cefotaxime (33% 19%). We also identified the antimicrobial probability exceeding critical levels (50%) future (1.7–12.4 years) each 10 × km pixel on map. Africa South America, 78% locations associated penicillins or tetracyclines crossing 50% future. contrast, Asia, 77% sulphonamides. Our maps highlight diverging geographic trends classes, used target surveillance hotspots priority classes.

Язык: Английский

Процитировано

22

Macrolide and Nonmacrolide Resistance with Mass Azithromycin Distribution DOI Creative Commons
Thuy Doan, Lee Worden, Armin Hinterwirth

и другие.

New England Journal of Medicine, Год журнала: 2020, Номер 383(20), С. 1941 - 1950

Опубликована: Ноя. 11, 2020

Mass distribution of azithromycin to preschool children twice yearly for 2 years has been shown reduce childhood mortality in sub-Saharan Africa but at the cost amplifying macrolide resistance. The effects on gut resistome, a reservoir antimicrobial resistance genes body, twice-yearly administration longer period are unclear.

Язык: Английский

Процитировано

131

Antibiotic Resistance: Moving From Individual Health Norms to Social Norms in One Health and Global Health DOI Creative Commons
Sara Hernando‐Amado, Teresa M. Coque, Fernando Baquero

и другие.

Frontiers in Microbiology, Год журнала: 2020, Номер 11

Опубликована: Авг. 28, 2020

Antibiotic resistance is a problem for human health and, consequently, its study had been traditionally focused to impact the success of treating infections in individual patients (Individual Health). Nevertheless, antibiotic resistant bacteria, and genes are not confined just infected patients. It now generally accepted that goes beyond humans, hospitals, or long-term facilities settings, it should be considered simultaneously human-connected animals, farms, food, water, natural ecosystems. In this regard, animals local antibiotic-resistance-polluted environments influence whole interconnected ecosystem (One addition, also Global problem; any microorganism (and genes) could distributed worldwide. Consequently, pandemic requires Health solutions. Social norms, imposing group behaviour favour global accordance with increasingly collective awareness lack alienation from Nature, will positively these understood within framework socioeconomical ecological efforts ensure sustainability development associated human-natural ecosystems interactions.

Язык: Английский

Процитировано

119

Pneumococcal within-host diversity during colonization, transmission and treatment DOI Creative Commons
Gerry Tonkin‐Hill, Clare Ling, Chrispin Chaguza

и другие.

Nature Microbiology, Год журнала: 2022, Номер 7(11), С. 1791 - 1804

Опубликована: Окт. 10, 2022

Abstract Characterizing the genetic diversity of pathogens within host promises to greatly improve surveillance and reconstruction transmission chains. For bacteria, it also informs our understanding inter-strain competition how this shapes distribution resistant sensitive bacteria. Here we study Streptococcus pneumoniae 468 infants 145 their mothers by deep sequencing whole pneumococcal populations from 3,761 longitudinal nasopharyngeal samples. We demonstrate that has unsurpassed sensitivity for detecting multiple colonization, doubling rate at which highly invasive serotype 1 bacteria were detected in carriage compared with gold-standard methods. The greater resolution identified an elevated children first year child’s life. Comprehensive treatment data demonstrated risk both acquisition persistent colonization a multidrug-resistant bacterium following antimicrobial treatment. Some alleles enriched after treatment, suggesting they aided persistence, but generally purifying selection dominated within-host evolution. Rates co-colonization imply absence susceptible lineages outcompeted host. These results many benefits genomic bacterial pathogens.

Язык: Английский

Процитировано

45

Challenges in Forecasting Antimicrobial Resistance DOI Creative Commons

Sen Pei,

Seth Blumberg,

Jaime Cascante Vega

и другие.

Emerging infectious diseases, Год журнала: 2023, Номер 29(4), С. 679 - 685

Опубликована: Март 24, 2023

Antimicrobial resistance is a major threat to human health. Since the 2000s, computational tools for predicting infectious diseases have been greatly advanced; however, efforts develop real-time forecasting models antimicrobial-resistant organisms (AMROs) absent. In this perspective, we discuss utility of AMRO at different scales, highlight challenges in field, and suggest future research priorities. We also scientific understanding, access high-quality data, model calibration, implementation evaluation models. further need initiate on using currently available data resources galvanize community address initial practical questions.

Язык: Английский

Процитировано

27

A Comprehensive Overview of Antibacterial Agents for Combating Multidrug-Resistant Bacteria: The Current Landscape, Development, Future Opportunities, and Challenges DOI Creative Commons
Ina Gajić, Nina Tomić, Bojana Luković

и другие.

Antibiotics, Год журнала: 2025, Номер 14(3), С. 221 - 221

Опубликована: Фев. 21, 2025

Background/Objectives: Antimicrobial resistance poses a major public health challenge. The World Health Organization has identified 15 priority pathogens that require prompt development of new antibiotics. This review systematically evaluates the antibacterial most significant bacterial pathogens, currently available treatment options, as well complementary approaches for management infections caused by challenging multidrug-resistant (MDR) bacteria. For carbapenem-resistant Gram-negative bacteria, options include combinations beta-lactam antibiotics and beta-lactamase inhibitors, novel siderophore cephalosporin, known cefiderocol, older like polymixins tigecycline. Treatment Gram-positive bacteria are vancomycin, daptomycin, linezolid, etc. Although stagnated, various agents with properties in clinical preclinical trials. Non-antibiotic strategies encompass antibiotic potentiators, bacteriophage therapy, antivirulence therapeutics, antimicrobial peptides, nanomaterials, host-directed vaccines, antibodies, plant-based products, repurposed drugs, their combinations, including those used alongside Significant challenges exist developing antimicrobials, particularly related to scientific technical issues, along policy economic factors. Currently, alternative not part routine protocols. Conclusions Future Directions: There is an urgent need expedite treating MDR requires multidisciplinary approach involves collaboration across research, healthcare, regulatory bodies. Suggested crucial addressing this challenge should be backed rational use, enhanced infection control practices, improved surveillance systems emerging pathogens.

Язык: Английский

Процитировано

1

Mathematical modelling for antibiotic resistance control policy: do we know enough? DOI Creative Commons
Gwenan M. Knight,

Nicholas G. Davies,

Caroline Colijn

и другие.

BMC Infectious Diseases, Год журнала: 2019, Номер 19(1)

Опубликована: Ноя. 29, 2019

Abstract Background Antibiotics remain the cornerstone of modern medicine. Yet there exists an inherent dilemma in their use: we are able to prevent harm by administering antibiotic treatment as necessary both humans and animals, but must be mindful limiting spread resistance safeguarding efficacy antibiotics for current future generations. Policies that strike right balance informed a transparent rationale relies on robust evidence base. Main text One way generate base needed inform policies managing is using mathematical models. These models can distil key drivers dynamics transmission from complex infection evolutionary processes, well predict likely responses policy change silico. Here, ask whether know enough about modelling robustly effectively policy. We consider turn challenges associated with capturing evolution models, translating into Conclusions suggest spite promising advances, lack complete understanding principles. From this advocate priority areas empirical theoretical research.

Язык: Английский

Процитировано

55

Genetic insights of antibiotic resistance, pathogenicity (virulence) and phylogenetic relationship of Escherichia coli strains isolated from livestock, poultry and their handlers - a one health snapshot DOI
Susweta Das Mitra, Rajeswari Shome,

Satarupa Bandopadhyay

и другие.

Molecular Biology Reports, Год журнала: 2024, Номер 51(1)

Опубликована: Март 8, 2024

Язык: Английский

Процитировано

7

Genome-wide epistasis and co-selection study using mutual information DOI Creative Commons
Johan Pensar, Santeri Puranen, Brian J. Arnold

и другие.

Nucleic Acids Research, Год журнала: 2019, Номер 47(18), С. e112 - e112

Опубликована: Июль 24, 2019

Covariance-based discovery of polymorphisms under co-selective pressure or epistasis has received considerable recent attention in population genomics. Both statistical modeling the level covariation alleles across chromosome and model-free testing dependencies between pairs have been shown to successfully uncover patterns selection bacterial populations. Here we introduce a method, SpydrPick, whose computational efficiency enables analysis at scale pan-genomes many bacteria. SpydrPick incorporates an efficient correction for structure, which adjusts phylogenetic signal data without requiring explicit tree. We also new type visualization results similar Manhattan plots used genome-wide association studies, rapid exploration identified signals co-evolution. Simulations demonstrate usefulness our method give some insight when this is most likely be successful. Application large genomic datasets two major human pathogens, Streptococcus pneumoniae Neisseria meningitidis, revealed both previously novel putative targets co-selection related virulence antibiotic resistance, highlighting potential approach drive molecular discoveries, even absence phenotypic data.

Язык: Английский

Процитировано

50