scholarly journals Acceleration of emergence of E. coli antibiotic resistance in a simulated sublethal concentration of copper and tetracycline co-contaminated environment

2020 ◽  
Author(s):  
Jinmei Li ◽  
Irfan Ali Phulpoto ◽  
Guilong Zhang ◽  
Zhisheng Yu
Keyword(s):  
Antibiotic Resistance ◽  
Copper Ions ◽  
Copper Ion ◽  
Polymyxin B ◽  
Sublethal Concentration ◽  
Control Groups ◽  
Study Objective ◽  
E Coli ◽  
Resistant Strains ◽  
Sublethal Concentrations

Abstract A co-contaminated environment with metals and antibiotics ultimately provides exposing of bacteria to metals and antibiotics at the same time and prevails co-contamination in the environment. This study objective, to explore the efficacy of sublethal concentrations of copper ions contaminated with tetracycline to antibiotic resistance in sensitive strain E. coli K12. We proved that copper ions and tetracycline co-contaminated environments could considerably enhance the mutation frequencies of chloramphenicol and polymyxin B resistance in antibiotic susceptible E. coli; however, the corresponding copper ions and tetracycline alone showed weaker effects. Results also demonstrated that the relatively high sublethal concentrations of copper ion and tetracycline co-contaminated environment could induce much higher antibiotic resistance compared to the low sublethal and the control groups. Whole-genome characterization results indicated the variability of genotype and phenotype involved in antibiotic resistance. In addition, the evolved resistant strains displayed hereditary resistance after 5 round culture cycles in LB broth over 5 days. Results implied that co-contamination with metals and antibiotics environment could fortify the resistance, and might further contribute to the induction and dissemination of antibiotic resistance in metal and antibiotic co-contaminated environment.

scholarly journals Acceleration of emergence of E. coli antibiotic resistance in a simulated sublethal concentration of copper and tetracycline co-contaminated environment

AMB Express ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jinmei Li ◽  
Irfan Ali Phulpoto ◽  
Guilong Zhang ◽  
Zhisheng Yu
Keyword(s):  
Antibiotic Resistance ◽  
Copper Ions ◽  
Copper Ion ◽  
Polymyxin B ◽  
Sublethal Concentration ◽  
Control Groups ◽  
E Coli ◽  
Resistant Strains ◽  
And Control ◽  
Sublethal Concentrations

AbstractAn environment co-contaminated with metals and antibiotics ultimately exposes bacteria to these metals and antibiotics simultaneously. This study aims to explore the efficacy of sublethal concentrations of copper ions contaminated with tetracycline regarding antibiotic resistance in a sensitive strain of E. coli K12. The study proved that a copper ions and tetracycline co-contaminated environment could considerably enhance the mutation frequencies of chloramphenicol and polymyxin B resistance in antibiotic susceptible E. coli; however, the equivalent copper ions and tetracycline alone showed weaker effects. Results also demonstrated that an environment co-contaminated with relatively high sublethal concentrations of copper ion and tetracycline co-contaminated environment could induce much higher antibiotic resistance than the low sublethal and control groups. Whole-genome characterization results indicated that variability existed within the genotype and phenotype involved in antibiotic resistance. Additionally, the evolved resistant strains displayed hereditary resistance after 5 round culture cycles in LB broth over 5 days. Results implied that co-contamination with metals and antibiotics environment could strengthen resistance and contribute to the induction and dissemination of antibiotic resistance in metal and antibiotic co-contaminated environment.

scholarly journals The Multi-Copper-Ion Oxidase CueO of Salmonella enterica Serovar Typhimurium Is Required for Systemic Virulence

2010 ◽  
Vol 78 (5) ◽  
pp. 2312-2319 ◽  
Author(s):  
Maud E. S. Achard ◽  
Jai J. Tree ◽  
James A. Holden ◽  
Kim R. Simpfendorfer ◽  
Odilia L. C. Wijburg ◽  
...  
Keyword(s):  
Salmonella Enterica ◽  
Salmonella Enterica Serovar Typhimurium ◽  
Copper Ions ◽  
Copper Ion ◽  
Mesenteric Lymph Nodes ◽  
E Coli ◽  
Significant Difference ◽  
Serovar Typhimurium ◽  
Branched Chain ◽  
Periplasmic Enzyme

ABSTRACT Salmonella enterica serovar Typhimurium possesses a multi-copper-ion oxidase (multicopper oxidase), CueO (also known as CuiD), a periplasmic enzyme known to be required for resistance to copper ions. CueO from S. Typhimurium was expressed as a recombinant protein in Escherichia coli, and the purified protein exhibited a high cuprous oxidase activity. We have characterized an S. Typhimurium cueO mutant and confirmed that it is more sensitive to copper ions. Using a murine model of infection, it was observed that the cueO mutant was significantly attenuated, as indicated by reduced recovery of bacteria from liver and spleen, although there was no significant difference in recovery from Peyer's patches and mesenteric lymph nodes. However, the intracellular survival of the cueO mutant in unprimed or gamma-interferon-primed murine macrophages was not statistically different from that of wild-type Salmonella, suggesting that additional host factors are involved in clearance of the cueO mutant. Unlike a cueO mutant from E. coli, the S. Typhimurium cueO mutant did not show greater sensitivity to hydrogen peroxide and its sensitivity to copper ions was not affected by siderophores. Similarly, the S. Typhimurium cueO mutant was not rescued from copper ion toxicity by addition of the branched-chain amino acids and leucine.

scholarly journals Development of evolution drugs - antibacterial compounds that block pathways to resistance

2020 ◽  
Author(s):  
Yanmin Zhang ◽  
Sourav Chowdhury ◽  
João V. Rodrigues ◽  
Eugene Shakhnovich
Keyword(s):  
Antibiotic Resistance ◽  
Dihydrofolate Reductase ◽  
Experimental Approach ◽  
Whole Genome ◽  
Bacterial Protein ◽  
Antibacterial Compounds ◽  
E Coli ◽  
Resistant Strains ◽  
Resistant Mutants

AbstractAntibiotic resistance is a worldwide challenge. A potential approach to block resistance is to simultaneously inhibit WT and known escape variants of the target bacterial protein. Here we applied an integrated computational and experimental approach to discover compounds that inhibit both WT and trimethoprim (TMP) resistant mutants of E. coli dihydrofolate reductase (DHFR). We identified a novel compound (CD15-3) that inhibits WT DHFR and its TMP resistant variants L28R, P21L and A26T with IC50 50-75 μM against WT and TMP-resistant strains. Resistance to CD15-3 was dramatically delayed compared to TMP in in vitro evolution. Whole genome sequencing of CD15-3 resistant strains showed no mutations in the target folA locus. Rather, gene duplication of several efflux pumps gave rise to weak (about twofold increase in IC50) resistance against CD15-3. Altogether, our results demonstrate the promise of strategy to develop evolution drugs - compounds which block evolutionary escape routes in pathogens.

Changes in the oropharyngeal microbiome in patients with viral-bacterial pneumonia associated with сovid-19 on the background of antibiotic therapy and monitoring of antibioticaresistentie strains

2021 ◽  
Vol 43 (3-4) ◽  
pp. 37-41
Author(s):  
L. B. Romanyuk ◽  
Keyword(s):  
Antibiotic Resistance ◽  
Bacterial Pneumonia ◽  
Antibacterial Agents ◽  
Cost Of Treatment ◽  
E Coli ◽  
Intestinal Dysbiosis ◽  
New Antibiotics ◽  
Resistant Strains ◽  
Clinically Significant ◽  
The Cost

The relevance of the infection caused by COVID-19 today is beyond doubt. According to the Protocol “Provision of medical care for the treatment of coronavirus disease (COVID-19)” approved by the order of the Ministry of Health of Ukraine dated April 2, 2020 № 762, antibacterial drugs are prescribed only in the presence of confirmed bacterial co-infection ( after receiving positive bacteriological results) blood and / or sputum analysis). But given that the results of the analysis must wait a few days, antibiotics, under certain indications, can be prescribed empirically. The aim of our work was to analyze the structure of the oropharyngeal microbiome, patients with viral and bacterial pneumonia who received antibiotics, to determine clinically significant strains and their sensitivity to antibacterial agents. In the structure of the oropharyngeal microbiome, fungi of the genus Candida significantly prevailed, which were found in 50 (45.6%) subjects, in second place in terms of frequency of detection were S. pneumoniae – 29 (26.4%). Much less often from the oropharynx of patients with viral-bacterial pneumonia associated with COVID-19 were isolated K. pneumoniae – 13 (11.8%), S. aureus – 11 (10.0%) and E. coli – 7 (6.4 %). Among the isolated S. pneumoniae, the maximum number of resistant strains was detected for such fairly new antibiotics as ceftriaxone – 37.9% and azithromycin – 31.0%. Among fungi of the genus Candida resistant to nystatin and amphotericin were 38.5% and 26.9%, respectively. Therefore, the administration of antibacterial agents, taking into account the sensitivity of clinically significant strains, will guarantee effective treatment, prevent the development of antibiotic resistance, prevent the development of oropharyngeal and intestinal dysbiosis, and thus reduce the cost of treatment of antibiotic side effects, including probiotics.

scholarly journals INVESTIGATION OF THE ANTIBIOTIC RESISTANCE: THE CASE OF BUU DIEN GENERAL HOSPITAL IN HO CHI MINH CITY

2019 ◽  
pp. 116-119
Author(s):  
Tran-Thi Ngoc-Van ◽  
Tran Quang-Thinh ◽  
Cu Thanh-Tuyen ◽  
Hoang-Thy Nhac-Vu
Keyword(s):  
Antibiotic Resistance ◽  
General Hospital ◽  
Susceptibility Testing ◽  
Antibiotic Use ◽  
Polymyxin B ◽  
Ho Chi Minh City ◽  
Cross Sectional ◽  
E Coli ◽  
Hospital Acquired Infections ◽  
Hospital Acquired

Objective: In Vietnam, antibiotic resistance has been gained the attention of medical professionals in antibiotic use management. This study aimed to investigate the antibiotic resistance among hospital-acquired infections at Buu Dien General Hospital in Ho Chi Minh City in the period of 01-12/2017. Methods: This cross-sectional descriptive study was conducted on the retrospective data of all antibiograms of bacteria isolated from hospital-acquired infections at Buu Dien General Hospital in Ho Chi Minh City in the period of 01-12/2017 to investigate the antibiotic resistance. Characteristics of antibiotic resistance were described by frequency and percentage of types of bacteria isolated and antibiotics being resistant. Results: A total of 179 isolates were collected during the period 01-12/2017, of which E. coli was the most commonly isolated pathogen (41.3%). The highest prevalent infections were in the skin and mucosa; respiratory tract; and urinary tract (34.6%; 32.4%; and 27.9%). The antibiotic susceptibility testing used 21 types of antibiotics. Among them, S. aureus was 82% resistant to clindamycin and 75% resistant to cefuroxime; the Proteus resistance percentages to amoxicillin/clavulanic, second-generation cephalosporins, ciprofloxacin and fosfomycin varied from 50 to 93%; Pseudomonas was 92% resistant to fosfomycin and 62% resistant to ceftazidime; A. baumannii was resistant to most classes of agents used (50-75%). Both E. coli and Klebsiella were highly resistant to gentamicin, amoxicillin, ciprofloxacin, 2nd and 3rd generation cephalosporin’s. Polymyxin B-resistant Proteus cultures were detected at 67%. Conclusion: The study described the antibiotic resistance situation of hospital-acquired bacteria at the Buu Dien General Hospital from 01-12/2017. This information will aid physicians to select proper antibiotics for their patients in the next period.

scholarly journals Identification of a Copper-Responsive Two-Component System on the Chromosome of Escherichia coli K-12

2000 ◽  
Vol 182 (20) ◽  
pp. 5864-5871 ◽  
Author(s):  
George P. Munson ◽  
Deborah L. Lam ◽  
F. Wayne Outten ◽  
Thomas V. O'Halloran
Keyword(s):  
Escherichia Coli ◽  
Pseudomonas Syringae ◽  
Metal Ion ◽  
Copper Ions ◽  
Copper Ion ◽  
Regulatory System ◽  
Copper Resistance ◽  
E Coli ◽  
Two Component ◽  
K 12

ABSTRACT Using a genetic screen we have identified two chromosomal genes,cusRS (ylcA ybcZ), from Escherichia coli K-12 that encode a two-component, signal transduction system that is responsive to copper ions. This regulatory system is required for copper-induced expression of pcoE, a plasmid-borne gene from the E. coli copper resistance operon pco. The closest homologs of CusR and CusS are plasmid-borne two-component systems that are also involved in metal responsive gene regulation: PcoR and PcoS from the pcooperon of E. coli; CopR and CopS from thecop operon, which provides copper resistance toPseudomonas syringae; and SilR and SilS from thesil locus, which provides silver ion resistance toSalmonella enterica serovar Typhimurium. The genescusRS are also required for the copper-dependent expression of at least one chromosomal gene, designated cusC(ylcB), which is allelic to the recently identified virulence gene ibeB in E. coli K1. Thecus locus may comprise a copper ion efflux system, because the expression of cusC is induced by high concentrations of copper ions. Furthermore, the translation products of cusCand additional downstream genes are homologous to known metal ion antiporters.

scholarly journals Precise prediction of antibiotic resistance in Escherichia coli from full genome sequences

2018 ◽  
Author(s):  
Danesh Moradigaravand ◽  
Martin Palm ◽  
Anne Farewell ◽  
Ville Mustonen ◽  
Jonas Warringer ◽  
...  
Keyword(s):  
Machine Learning ◽  
Antibiotic Resistance ◽  
Population Structure ◽  
Genome Sequencing ◽  
Diagnostic Tools ◽  
Clinical Settings ◽  
Whole Genome ◽  
Genome Sequences ◽  
E Coli ◽  
Resistant Strains

AbstractThe emergence of microbial antibiotic resistance is a global health threat. In clinical settings, the key to controlling spread of resistant strains is accurate and rapid detection. As traditional culture-based methods are time consuming, genetic approaches have recently been developed for this task. The diagnosis is typically made by measuring a few known determinants previously identified from whole genome sequencing, and thus is restricted to existing information on biological mechanisms. To overcome this limitation, we employed machine learning models to predict resistance to 11 compounds across four classes of antibiotics from existing and novel whole genome sequences of 1936 E. coli strains. We considered a range of methods, and examined population structure, isolation year, gene content, and polymorphism information as predictors. Gradient boosted decision trees consistently outperformed alternative models with an average F1 score of 0.88 on held-out data (range 0.66-0.96). While the best models most frequently employed all inputs, an average F1 score of 0.73 could be obtained using population structure information alone. Single nucleotide variation data were less useful, and failed to improve prediction for ten out of 11 antibiotics. These results demonstrate that antibiotic resistance in E. coli can be accurately predicted from whole genome sequences without a priori knowledge of mechanisms, and that both genomic and epidemiological data are informative. This paves way to integrating machine learning approaches into diagnostic tools in the clinic.SummaryOne of the major health threats of 21st century is emergence of antibiotic resistance. To manage its economic impact, efforts are made to develop novel diagnostic tools that rapidly detect resistant strains in clinical settings. In our study, we employed a range machine learning tools to predict antibiotic resistance from whole genome sequencing data for E. coli. We used the presence or absence of genes, population structure and isolation year of isolates as predictors, and could attain average precision of 0.93 and recall of 0.83, without prior knowledge about the causal mechanisms. These results demonstrate the potential application of machine learning methods as a diagnostic tool in healthcare settings.

scholarly journals Susceptibility to antibiotics in escherichiae isolated in a multidisciplinary medical centre

2016 ◽  
Vol 65 (4) ◽  
pp. 83-89
Author(s):  
Nadezda S. Kozlova ◽  
Natalia E. Barantsevich ◽  
Elena P. Barantsevich
Keyword(s):  
Escherichia Coli ◽  
Antibiotic Resistance ◽  
Multidrug Resistance ◽  
Antimicrobial Resistance ◽  
Antimicrobial Agents ◽  
E Coli ◽  
Microdilution Method ◽  
Carbapenem Resistant ◽  
Resistant Strains ◽  
High Level

Relevance. Antimicrobial resistance in nosocomial strains currently presents a very important problem.  Aim of the study: Study of antibiotic resistance in Escherichia coli, isolated in a multidisciplinary centre.  Materials and Methods. Susceptibility of 151 E. coli strains to 15 antibiotics was studied by microdilution method. Results. The majority of the studied strains were resistant to antibiotics, including: ampicillin (57.0%), ciprofloxacin and moxifloxacin (42.4% each), III and IV generation cephalosporins (37.1% and 34.4%, respectively) and gentamycin (29.1%). The highest activity against E. coliwas shown for carbapenems (resistance to erthapenem – 2.6%, meropenem – 0.7%), in particular, for imipenem – no strains resistant to this drug were isolated. Resistance to amikacin and phosphomycin was low: 3.3% and 1.3% respectively. Wide diversity of antibiotic resistance spectra was revealed in studied strains, with a high level of multidrug resistance (48.0%). Conclusion. Study of susceptibility to antimicrobial agents in E. coli, isolated in a multidisciplinary centre, showed predominance of resistant strains with a high level of multidrug resistance. The appearance of carbapenem-resistant strains in a multidisciplinary centre presents a rising problem.

Antibiotic Resistance of Escherichia coliO157:H7 and O157:NM Isolated from Animals, Food, and Humans

1998 ◽  
Vol 61 (11) ◽  
pp. 1511-1514 ◽  
Author(s):  
JIANGHONG MENG ◽  
SHAOHUA ZHAO ◽  
MICHAEL P. DOYLE ◽  
SAM W. JOSEPH
Keyword(s):  
Antibiotic Resistance ◽  
Ground Beef ◽  
E Coli ◽  
Resistance To Antibiotics ◽  
Development Of Resistance ◽  
Resistant Strains

Antibiotic resistance was determined for 118 E. coli O157:H7 and 7 O157:NM isolates from Animals, foods, and humans. Among the 125 isolates, 30 (24%) were resistant to at least one antibiotic and 24 (19%) were resistant to three or more antibiotics. Cattle isolates had the highest rate (34%) of antibiotic resistance. The seven resistant food isolates were all from ground beef. The most frequent resistance type overall was streptomycin-sulfisoxazole-tetracycline, which accounted for over 70% of the resistant strains. Two E. coli O157:NM isolates from cattle were resistant to six antibiotics: ampicillin, kanamycin, sulfisoxazole, streptomycin, tetracycline, and ticarcillin. Streptomycin was the most common antibiotic to which E. coli O157:H7 and O157:NM were resistant (29 out of 30 isolates), followed by tetracycline (26 isolates). This study suggests that E. coli O157:H7 and O157:NM have developed resistance to antibiotics. Research is needed to define mechanisms of antibiotic resistance in E. coli O157:H7 and to minimize the development of resistance.

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