Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The worldwide dissemination of antimicrobial-resistant bacteria, particularly those resistant to last-resource antibiotics, is a common problem to which no immediate solution is foreseen. In 2017, the World Health Organization (WHO) published a list of antimicrobial-resistant "priority pathogens", which include a group of microorganisms with high-level resistance to multiple drugs, named ESKAPE pathogens, comprising vancomycin-resistant Enterococcus faecium (VRE), methicillin- and vancomycin-resistant Staphylococcus aureus (MRSA and VRSA), extended spectrum β-lactamase (ESBL) or carbapenem-resistant Klebsiella pneumoniae, carbapenem-resistant Acinetobacter baumannii, carbapenem-resistant Pseudomonas aeruginosa and extended spectrum β-lactamase (ESBL) or carbapenem-resistant Enterobacter spp. These bacteria also have the ability to produce several virulence factors, which have a major influence on the outcomes of infectious diseases. Bacterial resistance and virulence are interrelated, since antibiotics pressure may influence bacterial virulence gene expression and, consequently, infection pathogenesis. Additionally, some virulence factors contribute to an increased resistance ability, as observed in biofilm-producing strains. The surveillance of important resistant and virulent clones and associated mobile genetic elements is essential to decision making in terms of mitigation measures to be applied for the prevention of such infections in both human and veterinary medicine, being also relevant to address the role of natural environments as important components of the dissemination cycle of these strains.

Research & information: general --- Biology, life sciences --- Microbiology (non-medical) --- biocide --- antibiotic resistance --- cross-resistance --- aminoglycoside --- adaptation --- biofilm --- pyruvate cycle --- mastitis --- staphylococci --- virulence factors --- genes --- antimicrobial resistance --- infant --- newborn --- bacteremia --- Gram-negative bacteria --- drug resistance --- microbial --- mortality --- microcosm --- Aeromonas --- climate change --- temperature --- pH --- water --- Acinetobacter baumannii --- virulence --- whole-genome sequencing --- international high-risk clones --- genomic epidemiology --- dogs --- Escherichia coli --- ESBL --- CTX-M-15 --- CTX-M-1 --- CTX-M-32 --- CTX-M-55 --- CTX-M-14 --- qAmpC --- CMY-2 --- camel --- domestic --- milk --- virulence genes --- extended-spectrum β-lactamases --- biofilm formation --- Pseudomonas aeruginosa --- carbapenem resistance --- KPC-2 --- plasmid --- diabetic foot infections --- Staphylococcus aureus --- subinhibitory concentrations --- virulence-related genes

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The worldwide dissemination of antimicrobial-resistant bacteria, particularly those resistant to last-resource antibiotics, is a common problem to which no immediate solution is foreseen. In 2017, the World Health Organization (WHO) published a list of antimicrobial-resistant "priority pathogens", which include a group of microorganisms with high-level resistance to multiple drugs, named ESKAPE pathogens, comprising vancomycin-resistant Enterococcus faecium (VRE), methicillin- and vancomycin-resistant Staphylococcus aureus (MRSA and VRSA), extended spectrum β-lactamase (ESBL) or carbapenem-resistant Klebsiella pneumoniae, carbapenem-resistant Acinetobacter baumannii, carbapenem-resistant Pseudomonas aeruginosa and extended spectrum β-lactamase (ESBL) or carbapenem-resistant Enterobacter spp. These bacteria also have the ability to produce several virulence factors, which have a major influence on the outcomes of infectious diseases. Bacterial resistance and virulence are interrelated, since antibiotics pressure may influence bacterial virulence gene expression and, consequently, infection pathogenesis. Additionally, some virulence factors contribute to an increased resistance ability, as observed in biofilm-producing strains. The surveillance of important resistant and virulent clones and associated mobile genetic elements is essential to decision making in terms of mitigation measures to be applied for the prevention of such infections in both human and veterinary medicine, being also relevant to address the role of natural environments as important components of the dissemination cycle of these strains.

Research & information: general --- Biology, life sciences --- Microbiology (non-medical) --- biocide --- antibiotic resistance --- cross-resistance --- aminoglycoside --- adaptation --- biofilm --- pyruvate cycle --- mastitis --- staphylococci --- virulence factors --- genes --- antimicrobial resistance --- infant --- newborn --- bacteremia --- Gram-negative bacteria --- drug resistance --- microbial --- mortality --- microcosm --- Aeromonas --- climate change --- temperature --- pH --- water --- Acinetobacter baumannii --- virulence --- whole-genome sequencing --- international high-risk clones --- genomic epidemiology --- dogs --- Escherichia coli --- ESBL --- CTX-M-15 --- CTX-M-1 --- CTX-M-32 --- CTX-M-55 --- CTX-M-14 --- qAmpC --- CMY-2 --- camel --- domestic --- milk --- virulence genes --- extended-spectrum β-lactamases --- biofilm formation --- Pseudomonas aeruginosa --- carbapenem resistance --- KPC-2 --- plasmid --- diabetic foot infections --- Staphylococcus aureus --- subinhibitory concentrations --- virulence-related genes --- biocide --- antibiotic resistance --- cross-resistance --- aminoglycoside --- adaptation --- biofilm --- pyruvate cycle --- mastitis --- staphylococci --- virulence factors --- genes --- antimicrobial resistance --- infant --- newborn --- bacteremia --- Gram-negative bacteria --- drug resistance --- microbial --- mortality --- microcosm --- Aeromonas --- climate change --- temperature --- pH --- water --- Acinetobacter baumannii --- virulence --- whole-genome sequencing --- international high-risk clones --- genomic epidemiology --- dogs --- Escherichia coli --- ESBL --- CTX-M-15 --- CTX-M-1 --- CTX-M-32 --- CTX-M-55 --- CTX-M-14 --- qAmpC --- CMY-2 --- camel --- domestic --- milk --- virulence genes --- extended-spectrum β-lactamases --- biofilm formation --- Pseudomonas aeruginosa --- carbapenem resistance --- KPC-2 --- plasmid --- diabetic foot infections --- Staphylococcus aureus --- subinhibitory concentrations --- virulence-related genes

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Antimicrobial resistance (AMR) is a global problem with extremely complex epidemiology involving the direct and indirect transmission of antibiotic resistant pathogens and mobile genetic elements between humans, animals, and the environment. AMR is, therefore, recognized as a ‘One Health’ issue. Data that describe AMR prevalence and trends are required to enable the judicious and prudent use of antimicrobials in animals, which has implications both from veterinary and animal welfare aspects as well as from a zoonotic and public health perspective. Horses are a potential reservoir of AMR for humans due to close human–animal contact, as was demonstrated with shared human and horse methicillin-resistant Staphylococcus aureus (MRSA) strains causing outbreaks in equine hospitals. Extended-spectrum beta-lactamase-producing Enterobacteriaceae, considered as clinically and economically important to the AMR burden in human and veterinary medicine, has been reported in both community and clinic equine populations. Strains of Enterobacteriaceae pose a major worldwide threat due to the geographical expansion of ESBL-producing clones as well as the horizontal interspecies dissemination of ESBL-encoding plasmids and genes. In human medicine, ESBL-E infection is associated with increased morbidity, mortality, length of hospital stay, delay of targeted appropriate treatment, and higher costs. These issues also need to be addressed in horses. This Special Issue on AMR in horses encompasses several papers that describe the prevalence, risk factors, and molecular data on MDR bacteria in healthy horses in Canada, Japan, Spain, and Israel, in addition to papers that describe the clinical impact of MDR bacteria in diseased horses in Austria, USA, France and Israel.

equine --- foal --- ESBL-E --- antibiotic resistance --- shedding --- umbilical infection --- risk factors --- healthy horses --- staphylococci --- MSSA --- ST1640 --- lukPQ --- ESBL --- Escherichia coli --- Enterobacteriaceae --- antimicrobial resistance --- CTX-M-1 --- SHV --- farm --- ESBL-E acquisition --- AmpC --- Klebsiella pneumoniae --- antibiotic-resistance --- β-lactamases --- horses --- extended-spectrum β-lactamase --- AmpC β-lactamase --- horse --- multidrug resistance --- beta-lactamase --- cephalosporinase --- microbiota --- North America --- horse pathogens --- epidemiology --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast