Next Article in Journal
Natural Products and Their Derivatives with Antibacterial, Antioxidant and Anticancer Activities
Next Article in Special Issue
Higher Prevalence of Extended-Spectrum Cephalosporin-Resistant Enterobacterales in Dogs Attended for Enteric Viruses in Brazil Before and After Treatment with Cephalosporins
Previous Article in Journal
Insects, Rodents, and Pets as Reservoirs, Vectors, and Sentinels of Antimicrobial Resistance
Previous Article in Special Issue
A Pilot Study in Sweden on Efficacy of Benzylpenicillin, Oxytetracycline, and Florfenicol in Treatment of Acute Undifferentiated Respiratory Disease in Calves
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Antimicrobial Resistance in Escherichia coli Strains Isolated from Humans and Pet Animals

1
Faculty of Biomedical and Health Sciences, Jaume I University, Avinguda de Vicent Sos Baynat, s/n, 12071 Castelló de la Plana, Spain
2
Department of Engineering Management in Biotechnology, Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Cvećarska 2, 21000 Novi Sad, Serbia
*
Author to whom correspondence should be addressed.
Submission received: 17 December 2020 / Revised: 6 January 2021 / Accepted: 12 January 2021 / Published: 13 January 2021

Abstract

:
Throughout scientific literature, we can find evidence that antimicrobial resistance has become a big problem in the recent years on a global scale. Public healthcare systems all over the world are faced with a great challenge in this respect. Obviously, there are many bacteria that can cause infections in humans and animals alike, but somehow it seems that the greatest threat nowadays comes from the Enterobacteriaceae members, especially Escherichia coli. Namely, we are witnesses to the fact that the systems that these bacteria developed to fight off antibiotics are the strongest and most diverse in Enterobacteriaceae. Our great advantage is in understanding the systems that bacteria developed to fight off antibiotics, so these can help us understand the connection between these microorganisms and the occurrence of antibiotic-resistance both in humans and their pets. Furthermore, unfavorable conditions related to the ease of E. coli transmission via the fecal–oral route among humans, environmental sources, and animals only add to the problem. For all the above stated reasons, it is evident that the epidemiology of E. coli strains and resistance mechanisms they have developed over time are extremely significant topics and all scientific findings in this area will be of vital importance in the fight against infections caused by these bacteria.

1. Introduction

Scientists all over the world have studied Escherichia coli and it appears to be the most thoroughly investigated and best understood of all model microorganisms [1,2,3,4]. We already know that it is one of the first bacteria that colonizes the human gut immediately after birth [5,6,7]. On the other hand, E. coli is often the main culprit of infections in the gastrointestinal tract [8], as well as other parts of human and animal organisms [9,10]. In more precise terms, E. coli typically causes urinary infections [11,12], but it can also lead to many other serious infections and conditions, such as: appendicitis [13], pneumonia [14], meningitis [15], endocarditis [16], gastrointestinal infections [17], etc. Research findings have shown us that E. coli can cause infections in all age groups and those infections can be acquired in the general population, i.e., community-acquired, as well as related to healthcare institutions [18,19,20].
After Alexander Fleming had discovered penicillin in 1928, the whole course of medicine changed [21,22]. The revolutionary discovery of antibiotics made it possible for doctors to treat extremely severe cases of infectious diseases, which had previously been a very common cause of death [23,24]. That completely changed after antibiotics had been introduced and soon penicillin became the most widely used antibiotic in the world, saving millions of lives [25,26,27].
Unfortunately, only several years after doctors started using it in hospitals, the first cases of penicillin resistance by Staphylococcus aureus were identified [28]. Obviously, bacteria have managed to develop a system that can protect them and make them resistant to antibiotics [29]. Sadly, the situation with bacteria evolving resistance is getting worse day by day and we have literally come to a point when we can speak of the antimicrobial resistance presenting a worldwide problem [30,31,32,33,34,35,36].
When we speak about E. coli, the fact that it has been put on the World Health Organization’s (WHO) list that contains 12 families of bacteria that present the biggest danger to human health [37,38]. Ever since the first reported cases, E. coli’s resistance to antibiotic treatment has been continuously growing [39,40,41,42].
Scientific literature offers an abundance of research studies into the nature and behavior of E. coli [43,44,45,46]. The results point to several extremely interesting facts. This bacterium undoubtedly has considerable influence on human and animal lives [47,48], for the simple reason that it lives inside the gut and can very easily spread from fecal matter to the mouth [49,50]. Being the commensal bacteria of human and animal gut, it happens to be in close contact with numerous other bacteria [51]. However, perhaps the most fascinating thing about E. coli is its ability to pass on its genetic-resistant traits to microorganisms who share the same living environment, as well as to acquire resistance genes from them [52,53,54].
According to Poirel et al. [52] E. coli present a bacterium with a special place in the microbiological world since it can cause severe infections in humans and animals, and on the other hand represents a significant part of the autochthonous microbiota of the various hosts. The main apprehension is a transmission of virulent and resistant E. coli among animals and humans through various pathways. E. coli is a most important reservoir of resistance genes that may be accountable for treatment failures in both human and veterinary medicine [52]. An increasing number of resistance genes has been identified in E. coli isolates in the past 10 years, and many of these resistance genes were acquired by horizontal gene transfer. In the enterobacterial gene pool, E. coli acts as a donor and as a recipient of resistance genes and thereby can acquire resistance genes from other bacteria but can also pass on its resistance genes to other bacteria. Antimicrobial resistance in E. coli is considered one of the foremost disputes in both humans and animals at a global scale and needs to be considered as a real public health concern.
Barrios-Villa et al. [55] have observed increased evidence demonstrating the association between Crohn’s Disease (CD), a type of Inflammatory Bowel Disease (IBD), and non-diarrheagenic Adherent/Invasive E. coli (AIEC) isolates. Genomes of five AIEC strains isolated from individuals without IBD were sequenced and compared with AIEC prototype strains (LF82 and NRG857c), and with extra-intestinal uropathogenic strain (UPEC CFT073). Non-IBD-AIEC strains showed an Average Nucleotide Identity up to 98% compared with control strains. Blast identities of the five non-IBD-AIEC strains were higher when compared to AIEC and UPEC reference strains than with another E. coli pathotypes, suggesting a relationship between them [55]. In the same study, Barrios-Villa et al. [55], an incomplete Type VI secretion system was found in non-IBD-AIEC strains; however, the Type II secretion system was complete. Several groups of genes reported in AIEC strains were searched in the five non-IBD-AIEC strains, and the presence of fimA, fliC, fuhD, chuA, irp2, and cvaC were confirmed. Other virulence factors were detected in non-IBD-AIEC strains, which were absent in AIEC reference strains, including EhaG, non-fimbrial adhesin 1, PapG, F17D-G, YehA/D, FeuC, IucD, CbtA, VgrG-1, Cnf1, and HlyE. Based on the differences in virulence determinants and single-nucleotide polymorphisms (SNPs), it is plausible to suggest that non-IBD AIEC strains belong to a different pathotype.
Meanwhile, genomic analysis of E. coli strains isolated from diseased chicken in the Czech Republic [56] showed that multiresistant phenotype was detected in most of the sequenced strains with the predominant resistance to β-lactams and quinolones being associated with TEM-type beta-lactamase genes and chromosomal gyrA mutations. The phylogenetic analysis proved a huge variety of isolates that were derived from all groups. Clusters of closely related isolates within ST23 and ST429 indicated a possible local spread of these clones. Moreover, the ST429 cluster carried blaCMY-2,− 59 genes for AmpC β-lactamase and isolates of both clusters were well-equipped with virulence-associated genes, with significant variations in allocation of specific virulence-associated genes among phylogenetically distant lineages. Zoonotic APEC STs were also identified, such as ST117, ST354, and ST95, showing numerous molecular elements typical for human ExPEC [56].
As already stated, antibiotic resistance found in microorganisms presents a big challenge for medical practice in the whole world [57,58,59,60,61]. This is to a great extent the consequence of wrong or uncritical consumption of antibiotics.
In a study by Abdelhalim et al. [62], from 17 Crohn’s disease patients and 14 healthy controls E. coli strains were isolated, 59% and 50% of them were identified as AIEC strains. It was discovered that chuA and ratA genes were the most significant genetic markers associated with AIEC compared to non-AIEC strains isolated from Crohn’s disease patients and healthy controls p = 0.0119, 0.0094, respectively. Most E. coli strains obtained from Crohn’s disease patients showed antibiotic resistance (71%) compared to healthy controls (29%) against at least one antibiotic. Investigation have demonstrated significant differences between AIEC strains and non-AIEC strains in terms of the prevalence of chuA and ratA virulence genes and the antibiotic resistance profiles. Furthermore, AIEC strains isolated from Crohn’s disease patients were found to be more resistant to β-lactam and aminoglycoside antibiotics than AIEC strains isolated from healthy controls [62].
E. coli strains isolated from animals in Tunisia [63] revealed occurrence of plasmid-mediated quinolone resistance between themselves. With 51 nalidixic acid-resistant isolates, 9 PMQR genes were harbored (5 co-harbored qnrS1 and qnrB1, 3 harbored qnrS1 and 1 harbored qnrB1). Two types of mutation in the QRDR of GyrA were observed: S83L and D87N. For the QRDR of ParC, the substitution S80I was observed as well, while A class 1 integron was found in isolates, respectively. The tetA or tetB gene was observed and both were co-harbored by two isolates. The sul1, sul2, and sul3 genes were discovered, respectively. According to the presence of specific virulence genes, the nine strains were classified as UPEC, EAEC, and EPEC [63]. All mentioned highlight the plausible role of the avian industry as a reservoir of human pathogenic E. coli strains.
Yu et al. [64] have investigated the prevalence and antimicrobial-resistance phenotypes and genotypes of E. coli isolated from raw milk samples from mastitis cases in four regions of China. A total of 83 strains of E. coli were isolated and identified, but without any significant differences in the number of E. coli isolates detected among the two sampling seasons in the same regions. Nevertheless, a significant difference in E. coli prevalence was found among the four different regions. The isolates were most frequently resistant to penicillin (100%), acetylspiramycin (100%), lincomycin (98.8%), oxacillin (98.8%), and sulphamethoxazole (53%). All the E. coli strains were multiresistant to three antimicrobial classes, and the most frequent multidrug-resistance patterns for the isolates were resistant to three or four classes of drugs simultaneously [64].
In Egypt, Farhat et al. [65] have investigated the antimicrobial resistance patterns, the distribution of phylogenetic groups, and the prevalence and characteristics of integron-bearing E. coli isolates from outpatients with community-acquired urinary tract infections. A total of 134 human urine samples were positive for E. coli, from which a total of 80 samples were selected for further analyses. Most of the isolates (62.5%) proved multidrug resistance profiles. Group B2 was the most predominant phylogenetic group (52.5%), followed by group F (21.25%), Clade I or II (12.5%), and finally isolates of unknown phylogroup (13.75%). Of the 80 selected isolates, 7 of them carried class 1 integrons, which contained 3 different types of integrated gene cassettes, conferring resistance to streptomycin, trimethoprim, and some open reading frames of unknown function [65].
Low hygiene levels, lack of clean water, or poor sanitary conditions can create perfect conditions for the development and transmission of infections [66]. In addition to that, Farhani et al. [67] have total of 80 E. coli isolates, separated into 51 different genotypes. Using the Multi Locus VNTR Analysis (MLVA) profiles, a minimum spanning tree (MST) algorithm showed two clonal complexes with 71 isolates and only 9 isolates were stayed out of clonal complexes in the form of a singleton. High genotypic diversity was seen among E. coli strains isolated from hospital wastewaters; however, many isolates showed a close genetic relationship. Authors have concluded that MLVA as a rapid, inexpensive, and useful tool could be used for analysis of the phylogenetic relationships between E. coli strains [67].
Extended-spectrum beta-lactamases (ESBLs) are specific enzymes, which show resistance to almost all beta-lactam antibiotics [68], including penicillin [69], cephalosporin [70], etc. [71]. Cases of infections in which ESBLs are produced usually have quite an unpredictable course. E. coli is an example of a multidrug-resistant and ESBL-producing bacterium that can be the source of extremely severe infections [72,73,74]. As has previously been stated, some strains of E. coli can also cause very serious medical conditions connected with urinary and gastrointestinal tract and central nervous system [75]. On the other hand, the side effects of a prolonged usage of antibiotics include the occurrence of antibiotic resistance [76,77,78]. Today we have evidence that people can get antibiotic-resistant E. coli directly or indirectly from the environment [79,80]. Therefore, it is very important that we first evaluate the existence of drug-resistant E. coli in our surroundings and based on such findings try to outline the human and veterinary healthcare guidelines [81,82,83,84,85,86].
This paper aims to describe how people have facilitated the evolution of E. coli’s antibiotic resistance, while also presenting the specific mechanisms that this bacterium has developed over time to protect itself from the most typically prescribed and consumed antibiotics.

2. Usage of Antibiotics in Different Countries of EU Region and Spread of E. coli Resistance to Antibiotics

It is absolutely clear to us today that the antibiotic resistance of E. coli and some other bacteria involves a combination of different factors [87,88]. Research results indicate that E. coli exhibits the strongest resistance to the longest used and most commonly prescribed antibiotics [89,90,91]. This is exactly the case with sulfonamides, which were first used in humans around 1930s [92]. Some twenty years later, the first resistant strains of E. coli appeared and with time this resistance only grew stronger. It has also been found that low-income [93] and mid-income countries (Table 1) are regions with the highest antibiotic-resistance rates and it is precisely in these regions that we see the highest consumption of antibiotics [94]. On the other hand, high-income nations show a lower rate of antibiotic resistance, resulting from lower usage of antibiotics. In some high-income countries the consumption is high, for example in Belgium, France, and Italy. This is even more complex when comparing to low-income countries where on one hand the consumption may be high but the availability of many of the more advanced antimicrobials is limited [95].
In the 2017 revision of the WHO Model List of Essential Medicines, antibiotics in the list were grouped into three AWaRe categories: Access, Watch, and Reserve. According to the WHO AWaRe categories [96], the classification showed that the Access group antibiotics accounted for more than 50% of total consumption both in Serbia and Spain [93]. The size of the population (in thousands) living in the European Region in 2015 was 912,984, respectively. Of the 53 Member States of the region, none is a low-income country, 20 are middle-income countries, and 33 are high-income countries. The median proportional consumption of the Access group values ranged between 61% in Spain to 64% in Serbia. The median proportion of Watch group antibiotics related to total consumption values ranging from less than 34% in Serbia and 28.5% in Spain. Reserve group antibiotics were only rarely used. The most widely used Reserve group antibiotics were intravenous fosfomycin, followed by cefepime, colistin, linezolid, and daptomycin. The antibiotics assigned to the Other group varied from 1.5% in Serbia to 9.5% in Spain (Figure 1). Overall consumption of antibiotics in these 46 countries ranged from 7.66 to 38.18 DDD per 1000 inhabitants per day. The overall absolute weight (not adjusted by population size) varied from 2.18 ton (Iceland) to 1195.69 tons (Turkey) per year.
It is a widespread opinion among scientists that antibiotic resistance has developed as the result of human activity and commonly applied treatment with antibiotics [97]. On the other hand, studies of bacteria living inside human body and other environmental bacteria helped us discover many other resistance factors that did not develop over time as a reaction to antibiotics, but were probably part of bacteria genomes in the first place [98,99,100]. Scientists often refer to those characteristics as the intrinsic resistance of bacteria [101]. It presents a great advantage of that particular bacteria strain, as its main task is to inhibit or eliminate other bacteria that live in the same environment and compete for food [102,103,104]. Hence, intrinsic resistance is different from the extrinsic antibiotic resistance, which was triggered primarily by human action [105]. In times of constantly growing antibiotic resistance and in a situation when we seem not to have any readily available antibacterial agents, it is extremely important to thoroughly study the intrinsic resistance of bacteria. That could lead to the development of a new method of fight against bacterial resistance [106]. If we could manage somehow to inhibit the factors that intrinsic resistance is composed of, perhaps bacteria would then become highly sensitive to antibiotics again. E. coli and other gram-negative bacteria have two important characteristics, which are the foundations of their intrinsic resistance. Namely, they have a protective impermeable membrane and a large number of efflux pumps, which successfully remove all unwanted substances from inside the cell [107,108,109].
Antibiotic resistance is an ecosystem problem threatening the interrelated human–animal–environment health under the “One Health” framework. Resistant bacteria arising in one geographical area can spread via cross-reservoir transmission to other areas worldwide either by direct exposure or through the food chain and the environment. Drivers of antibiotic resistance are complex and multisectoral particularly in lower- and middle-income countries. These include inappropriate socio-ecological behaviors; poverty; overcrowding; lack of surveillance systems; food supply chain safety issues; highly contaminated waste effluents; and loose rules and regulations. Iskandar et al. [110] have investigated the drivers of antibiotic resistance from a “One Health” perspective. They have summarized the results from many researches that have been conducted over the years and shown that the market failures are the leading cause for the negative externality of antibiotic resistance that extends in scope from the individual to the global ecosystem. Iskandar et al. [110] highlighted that the problem will continue to prevail if governments do not prioritize the “One Health” approach and if individual’s accountability is still denied in a world struggling with profound socio-economic problems.
Dsani et al. [111] investigated the spread of E. coli isolates from raw meat in Greater Accra region in Ghana, to antibiotics resistance, respectively. Usually, raw meat can be contaminated with antibiotic resistant pathogens and consumption of meat contaminated with antibiotic resistant E. coli is associated with grave health care consequences. In their research, E. coli was detected in half of raw meat samples. Isolates were resistant to ampicillin (57%), tetracycline (45%), sulfamethoxazole-trimethoprim (21%), and cefuroxime (17%). Multidrug resistance (MDR) was identified in 22% of the isolates. The blaTEM gene was detected in 4% of E. coli isolates [111]. Dsani et al. [111] concluded that levels of microbial contamination of raw meat in their research were unacceptable and highlighted that meat handlers and consumers are at risk of foodborne infections from E. coli including ESBL producing E. coli, which is resistant to nearly all antibiotics in use.
According to Hassan et al. [112], a last resort antibiotic is colistin. Colistin is crucial for managing infections with carbapenem-resistant Enterobacteriaceae. The recent emergence of mobile-colistin-resistance (mcr) genes has jeopardized the efficiency of this antibiotic. Aquaculture is a foremost contributor to the evolution and dissemination of mcr. Nevertheless, data on mcr in aquaculture are narrow. In Lebanon, a country with developed antimicrobial stewardship the occurrence of mcr-1 was evaluated in fish. Mobile-colistin-resistance-1 was detected in 5 E. coli isolated from fish intestines. The isolates were classified as multidrug-resistant and their colistin minimum inhibitory concentration ranged between 16 and 32 μg/mL. Whole genome sequencing analysis showed that mcr-1 was carried on transmissible IncX4 plasmids and that the isolates harbored more than 14 antibiotic resistance genes. The isolates belonged to ST48 and ST101, which have been associated with mcr and can occur in humans and fish and help in spreading of antibiotic resistance of E. coli.
While, Montealegre et al. [113] have showed how high genomic diversity and heterogeneous origins of pathogenic and antibiotic-resistant E. coli in household settings represent a challenge to reducing transmission in low-income settings. Transmission of E. coli between hosts and with the environment is believed to happen more frequently in regions with poor sanitation. Montealegre et al. [113] performed whole-genome comparative analyses on 60 E. coli isolates from soils and fecal from cattle, chickens, and humans, in households in rural Bangladesh. Results suggest that in rural Bangladesh, a high level of E. coli in soil is possible led by contributions from multiple and diverse E. coli sources (human and animal) that share an accessory gene pool relatively unique to previously published E. coli genomes. Thus, interventions to reduce environmental pathogen or antimicrobial resistance transmission should adopt integrated “One Health” approaches that consider heterogeneous origins and high diversity to improve effectiveness and reduce prevalence and transmission [113].
It has been confirmed that wastewater treatment plant effluents are influenced by hospital wastewaters [114] in Germany. Alexander et al. [114] quantified the abundances of antibiotic resistance genes and facultative pathogenic bacteria as well as one mobile genetic element in genomic DNA via qPCR from 23 different wastewater treatment plant effluents in Germany. Total of 12 clinically relevant antibiotic resistance genes were categorized into frequently, intermediately, and rarely occurring genetic parameters of communal wastewaters. Taxonomic PCR quantifications of 5 facultative pathogenic bacteria targeting E. coli, P. aeruginosa, K. pneumoniae, A. baumannii, and enterococci were performed.
Since communal wastewater treatment plants are the direct link to the aquatic environment, wastewater treatment plants should be monitored according to their antibiotic resistance genes and facultative pathogenic bacteria abundances and discharges to decide about the need of advanced treatment options. Critical threshold volumes of hospital wastewaters should be defined to discuss the effect of a decentralized wastewater treatment, because they can serve as an excellent reservoir in spreading of E. coli resistance to antibiotic.

3. Inappropriate Prescribing of Antibiotics

According to scientific literature, we are now witnessing a rapid evolution of bacteria and a tremendous increase in multidrug-resistant strains largely due to selective pressure and a long-term interaction between the applied antibiotics and bacteria [115,116,117]. It seems that antibiotics have been prescribed too often and many times perhaps even inappropriately. When a person has bacterial infection and has been prescribed antibiotic treatment, what normally happens is that all susceptible bacteria get killed. However, together with the pathogenic microorganisms that caused the infection, many other microorganisms found in that specific environment will get eliminated too. On the other hand, if there are some resistant microorganisms in that environment, whether they are pathogenic or not, they will be the ones who will survive, quickly spread and outnumber all others [98,105,107].
We are all aware of the fact that millions of lives have been saved thanks to the discovery of antibiotics [118]. No wonder that this revolutionary medicine has often been considered as the “miracle drug” [118]. Unfortunately, antibiotics have been prescribed too often and sometimes even when it was not absolutely necessary [119]. Nowadays, we have a global problem, which presents an enormous threat to healthcare systems around the world. What is even more alarming is that in many countries there has not been an adequate response to this crisis. The abuse of antibiotics is still a major issue. According to the global antibiotic sales database, when we compare antibiotic consumption for the years 2000 and 2015, we can see an evident increase from around 11 doses per 1000 inhabitants per day to almost 16, which is an increase of almost 40% for the period of five years [120]. Having analyzed the statistics, together with research findings, it seems that the mean value for antibiotic consumption was largely influenced by low-income and mid-income countries [121]. These countries appear to have the largest number of multidrug-resistant bacterial infections. An even bigger problem is that studies show a considerable increase in the consumption of antibiotics such as carbapenems and colistin, which should be prescribed when everything else fails [122,123]. This could perhaps explain the emergence of E. coli strains resistant to precisely these antibiotics. Scientists claim that in the past there were some only very rare cases of resistance of E. coli to carbapenems (depending on the part of the world in question), but that in the future we may see a great increase of resistance to carbapenems [124,125]. This is mainly because of the existence of the enzymes called carbapenemases, which break down carbapenems and make them ineffective [126]. These enzymes with versatile hydrolytic capacities are plasmid-encoded and easily transmitted [127].
Medicines including vaccines are a critical component in the management of both infectious diseases and noncommunicable diseases reflected in global sales of medicines likely to exceed 1.5 trillion € by the end of 2023 and currently growing at a compounded annual growth rate of 3 to 6% [128]. Medicines also play a critical role in lower- and middle-income countries, which is in accordance with previously findings of Iskandar et al. [110]. Because usually these costs are “out-of-pocket”, there can be devastating outcomes for families when some of the members turn out to be sick. These outcomes and apprehensions are aggravated by the WHO assessing that more than half of all medicines are prescribed inappropriately, with approximately half of all patients failing to take them correctly [128].
Antibiotic resistance poses a great threat to human, animal, and environmental health. Beta-Lactam antibiotics have been successful in combating bacterial infections. Still, the overuse, inappropriate prescribing, unavailability of new antibiotics, and regulation barriers have exacerbated bacterial resistance to these antibiotics. 1,4,7-Triazacyclononane (TACN) is a cyclic organic tridentate inhibitor with strong metal-chelating abilities that has been shown to inhibit β-lactamase enzymes and may represent an important breakthrough in the treatment of drug-resistant E. coli bacterial strains. However, its cytotoxicity in the liver is unknown [129].
Antimicrobial stewardship is a foundation of endeavors to reduce antimicrobial resistance. To determine factors potentially influencing probability of prescribing antimicrobials for pet animals, Singleton et al. [130] analyzed electronic health records for unwell dogs (n = 155,732 unique dogs, 281,543 consultations) and cats (n = 69,236 unique cats, 111,139 consultations) voluntarily contributed by 173 UK veterinary practices. Results of their pet animal study demonstrate the potential of preventive healthcare and client engagement to encourage responsible antimicrobial drug use [130].
Robbins et al. [131] investigated the antimicrobial prescribing practices in small animal emergency and critical care. According to authors antimicrobial use contributes to emergence of antimicrobial resistance [131]. They have assumed that antimicrobial prescribing behavior varies between the emergency and critical care services in a veterinary teaching hospital, so they tried to investigate antimicrobial prescribing patterns, assess adherence to stewardship principles, and to evaluate the prevalence of multidrug-resistant (MDR) bacterial isolates. Robbins et al. [131] after investigation, which showed that the most prescribed antibiotics in emergence was amoxicillin, metronidazole, and ampicillin with the most common reasons for antimicrobial prescriptions being skin disease, gastrointestinal disease, and respiratory disease. Regarding the critical care, authors have recorded most prescribed ampicillin, enrofloxacin, and metronidazole, with the most common reasons for antimicrobial prescriptions such as gastrointestinal disease, respiratory diseases, and sepsis. Robbins et al. [131] concluded that antimicrobial prescription was common with comparable patterns. However, devotion to guidelines for urinary and respiratory infections was poor.
Lehner et al. [132] conducted the study with the objective to investigate antimicrobial prescriptions by Swiss veterinarians before and after introduction of the online ASP AntibioticScout.ch in December 2016. In the methodology, authors have used a retrospective study, where the prescriptions of antimicrobials in 2016 and 2018 were compared and their appropriateness was assessed by a justification score. The results of the study revealed that percentage of dogs prescribed antimicrobials decreased significantly between 2016 and 2018, which led to a conclusion that antimicrobials were used more carefully. The study highlights the continued need for ASPs in veterinary medicine [132].
Not only the regular hospitals and veterinary clinics have a problem with inappropriate prescribing of antibiotics, but the dentist’s clinics also have the same problem. Antibiotic resistance is a global public health problem. Around 55% of dental antibiotic prescribing is deemed inappropriate [133]. Evidence to that issue can be seen from an experiment where a total of 26 dentists were recruited for the 12-week study using a pre–post design. For six weeks, dentists self-recorded their prescription of antibiotics, analgesics, and anxiolytics. After dentists were provided education and website access, they recorded their prescription for a further six weeks. Results of the experiment reveled a substantial reduction of 44.6% in the number of inappropriate indications for which antibiotics were prescribed after the intervention and a decrease of 40.5% in the total number of antibiotics. Paracetamol with codeine substantially reduced by 56.8%. For the highly prescribed antibiotics amoxicillin, phenoxymethylpenicillin, and metronidazole, there was an improvement in the accuracy of the prescriptions ranging from 0–64.7 to 74.2–100% [133].
It is especially important that such a type of experiment showed the intervention of targeted education and the prescribing tool was effective in improving dental prescribing, knowledge, and confidence of practitioners, as well as providing an effective antibiotic stewardship tool. This context-specific intervention shows substantial promise for implementation into not only in dental practice, but veterinary and other medical practices as well.
One of the main factors that contribute to the growing antibiotic-resistance is the over-prescription of antibiotics [134]. Unfortunately, research shows that in more than 70% of cases, doctors in the US prescribed the wrong antibiotics [135]. Evidently, it is both the overuse and the inappropriate choice of antibiotics that we can blame for the antibiotic resistance that bacteria have evolved over the years [136]. In many cases, the prescribed antibiotics are suitable for acute respiratory tract infections [137,138,139,140], while for example ciprofloxacin is one of the antibiotics that is prescribed too often and inappropriately, and no wonder that E. coli is highly resistant to it [141,142]. Another very interesting finding shows that humans and animals with diarrhea used antibiotics quite frequently before they started experiencing the mentioned symptoms [143,144,145]. This could lead us to the conclusion that perhaps the previously used antibiotics had potentially disrupted the gut microbiota and resulted in the excessive number of pathogenic organisms resistant to drugs [117].

4. Mechanisms of β-Lactams Resistance towards E. coli

The Gram-negative bacteria called Enterobacteriaceae is known for its amazing capacity to become resistant to many different types of antibiotics [146,147]. Klebsiella and E. coli are the bacteria that cause the largest number of infections in humans [148], and are most often mentioned when speaking of multidrug-resistant bacteria [74,127,149]. Unfortunately, we are witnesses to the fact that E. coli has been increasingly developing strains that are insusceptible to the most common types of antibiotics, such as β-lactams, sulfonamides, fosfomycin, etc. [70,71,88,150]. What presents an even greater concern for doctors and scientists these days is that E. coli reveals resistance even to carbapenems and polymyxins, which are considered by many as the last resort antibiotics [151].
If we analyze the molecular structure of beta-lactams, we can see that they consist of the so-called β-lactam ring, which is supposed to inhibit the synthesis of the bacterial cell wall [70]. Beta-lactam antibiotics are specially targeted at bacterial enzymes called penicillin-binding proteins (PBPs) [152]. Unfortunately for us, bacteria have developed several methods of protection against β-lactams [153]:
  • Production of β-lactamases, which render β-lactams ineffective
  • Inhibited penetration of antibiotics to the intended location
  • Modification of the target site PBPs
  • Activation of efflux pumps
In more concrete terms, E. coli produces enzymes that are called “beta-lactamases” [154]. They are quite old compounds with over 2800 unique proteins [155]. The classification of β-lactamases is based on their function and structure [156]. Throughout literature, the most frequently used classification of beta-lactamases is the Ambler classification [157]. It focuses on the similarity of structure and according to this classification we can divide proteins into four main groups: the classes A, C, and D of serine-β-lactamases and the class B of metallo-β-lactamases [157].
Gram-negative bacteria are capable of producing different β-lactamases [156]. From the scientific point of view, the most important beta-lactamases that E. coli produces are carbapenemases [158], the extended-spectrum beta-lactamases (ESBL) [159], and AmpC beta-lactamases (AmpC) [160].

4.1. Prevalence of Antibiotic Resistance in E. coli Isolates by Disk Diffusion Method

Prevalence of selected antibiotic resistance in E. coli strains isolated from humans and pet animals is shown in Figure 2 and Figure 3.
As shown in Figure 2, highest rate of resistance of E. coli to amoxicillin were observed while the lowest rate of resistance was observed in colistin.
The same case as in Figure 2 was shown in Figure 3 regarding the resistance of E. coli to amoxicillin in pet animals, while the lowest rate of resistance was observed in ceftriaxone, respectively. This analysis nicely illustrates the evolution of antibiotic resistance and can be used for describing drug-resistance prevalence in the most recent E. coli strains. What is more, it shows a significantly higher prevalence of extended-spectrum beta-lactamase in pet animal isolates than in human isolates.

4.2. Prevalence of Antibiotic Resistance in E. coli Isolates by Minimum Inhibitory Concentration

Prevalence of selected antibiotic resistance in E. coli strains isolated from humans and pet animals by minimum inhibitory concentration (MIC) method is shown in Figure 4 and Figure 5.
As shown in Figure 4, in E. coli strains obtained from humans, the bacterium showed the lowest resistance to imipenem, while it exhibited the highest resistance to amoxicillin. These data are not completely in accordance with the data shown in Figure 2, where the lowest rate of resistance was observed in colistin, compared to those ones recorded for imipenem, respectively [161].
When pet animal isolates were analyzed, the lowest resistance rate was found for colistin, while the highest resistance was exhibited to tetracycline. Compared to isolates in pet animals by disk diffusion method (Figure 3), the lowest resistance identified was to ceftriaxone, while the highest resistance was found to amoxicillin, which is in accordance with data showed in Figure 5 obtained by the MIC method.

5. Conclusions

E. coli colonizes human and animals’ gut, which facilitates its spreading from fecal matter to the mouth. Due to its fascinating capacity to transfer drug resistance to other microorganisms and also acquire it from others that share the same environment, we can speak of E. coli’s huge evolutionary advantage. The antibiotic resistance genes are located on plasmids, which enables the easy horizontal spread of antibiotic resistance among different bacteria and, thus, poses a serious threat to medicine. With time, E. coli has developed several methods for neutralizing the power of antibiotics. Unfortunately, only one strain of E. coli can possess resistance genes that can fight off several different types of antibiotics, which makes the whole situation even more complicated for patients with bacterial infections.
The phenomenon of antibiotic resistance in bacteria is multifactorial and depends on an interplay of a number of factors, but the common denominator is clearly the overuse of antibiotics, both in humans and animals. Therefore, the whole world is seriously in need of antibiotic or antimicrobial stewardship programs, which are supposed to prevent the overuse of antibiotics and, thus, reduce antibiotic resistance. On the other hand, all that is not enough if some socioeconomic issues remain unresolved, such as poor hygiene, lack of drinking water, or bad living conditions and overcrowded households. These factors only add to the severity of the problem of antibiotic resistance and go beyond simply restricting the consumption of antibiotics. Obviously, knowing all of the above-mentioned facts, the solution to the problem of antibiotic or multidrug resistance is not a simple one, but requires integrated efforts on all sides. It is of vital importance to closely and continuously monitor hygiene conditions in hospitals as well as waste disposal methods. As far as the treatment of patients with bacterial infections is concerned, such patients need to be carefully examined in order to bring the right decision regarding the choice of antibiotic to be given. We need to continue evaluating antibiotic-sensitivity in humans and animals while also working on the development and implementation of reliable antibiotic strategies.
If we tackle this issue seriously and responsibly and undertake all the necessary corrective actions, we may regain control over E. coli infections, both in Europe and the whole world.

Author Contributions

Conceptualization, N.P.; methodology, N.P.; software, N.P.; validation, N.P.; formal analysis, N.P.; investigation, N.P.; resources, N.P.; data curation, N.P.; writing—original draft preparation, N.P.; writing—review and editing, R.d.L.F.; visualization, N.P.; supervision, R.d.L.F.; project administration, N.P.; funding acquisition, N.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry for Education, Science and Technological Development of the Republic of Serbia.

Data Availability Statement

Data is contained within the article.

Acknowledgments

This research is supported by COST Action CA18217—European Network for Optimization of Veterinary Antimicrobial Treatment.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Hill, R.A.; Hunt, J.; Sanders, E.; Tran, M.; Burk, G.A.; Mlsna, T.E.; Fitzkee, N.C. Effect of Biochar on Microbial Growth: A Metabolomics and Bacteriological Investigation in E. Coli. Environ. Sci. Technol. 2019, 53, 2635–2646. [Google Scholar] [CrossRef] [PubMed]
  2. Lovley, D.R.; Holmes, D.E. Protein Nanowires: The Electrification of the Microbial World and Maybe Our Own. J. Bacteriol. 2020, 202, e00331-20. [Google Scholar] [CrossRef] [PubMed]
  3. Ranganathan, S.; Smith, E.M.; Abel, J.D.F.; Barry, E.M. Research in a Time of Enteroids and Organoids: How the Human Gut Model Has Transformed the Study of Enteric Bacterial Pathogens. Gut Microbes 2020, 12, 1795492. [Google Scholar] [CrossRef] [PubMed]
  4. Macklin, D.N.; Horst, T.A.A.; Choi, H.; Ruggero, N.A.; Carrera, J.; Mason, J.C.; Sun, G.; Agmon, E.; DeFelice, M.M.; Maayan, I.; et al. Simultaneous Cross-Evaluation of Heterogeneous E. Coli Datasets via Mechanistic Simulation. Science 2020, 369, eaav3751. [Google Scholar] [CrossRef] [PubMed]
  5. Micenková, L.; Bosák, J.; Smatana, S.; Novotný, A.; Budinská, E.; Šmajs, D. Administration of the Probiotic Escherichia Coli Strain A0 34/86 Resulted in a Stable Colonization of the Human Intestine During the First Year of Life. Probiot. Antimicrob. Prot. 2020, 12, 343–350. [Google Scholar] [CrossRef] [PubMed]
  6. Bittinger, K.; Zhao, C.; Li, Y.; Ford, E.; Friedman, E.S.; Ni, J.; Kulkarni, C.V.; Cai, J.; Tian, Y.; Liu, Q.; et al. Bacterial Colonization Reprograms the Neonatal Gut Metabolome. Nat. Microbiol. 2020, 5, 838–847. [Google Scholar] [CrossRef]
  7. Secher, T.; Brehin, C.; Oswald, E. Early Settlers: Which E. Coli Strains Do You Not Want at Birth? Am. J. Physiol. Gastrointest. Liver Physiol. 2016, 311, G123–G129. [Google Scholar] [CrossRef] [Green Version]
  8. Rossi, E.; Cimdins, A.; Lüthje, P.; Brauner, A.; Sjöling, Å.; Landini, P.; Römling, U. “It’s a Gut Feeling”—Escherichia Coli Biofilm Formation in the Gastrointestinal Tract Environment. Crit. Rev. Microbiol. 2018, 44, 1–30. [Google Scholar] [CrossRef] [Green Version]
  9. Zhang, S.; Abbas, M.; Rehman, M.U.; Huang, Y.; Zhou, R.; Gong, S.; Yang, H.; Chen, S.; Wang, M.; Cheng, A. Dissemination of Antibiotic Resistance Genes (ARGs) via Integrons in Escherichia Coli: A Risk to Human Health. Environ. Pollut. 2020, 266, 115260. [Google Scholar] [CrossRef]
  10. Abebe, E.; Gugsa, G.; Ahmed, M. Review on Major Food-Borne Zoonotic Bacterial Pathogens. J. Trop. Med. 2020, 2020, 4674235. [Google Scholar] [CrossRef]
  11. Isla, A.L.; Polo, J.M.; Isa, M.A.; Sala, R.B.; Sutil, R.S.; Quintas, J.J.; Moradillo, J.G.; Padilla, D.A.G.; Rojo, E.G.; Martínez, J.B.P.; et al. Urinary Infections in Patients with Catheters in the Upper Urinary Tract: Microbiological Study. Urol. Int. 2017, 98, 442–448. [Google Scholar] [CrossRef] [PubMed]
  12. Rodrigues, W.; Miguel, C.; Nogueira, A.; Vieira, C.U.; Paulino, T.; Soares, S.; De Resende, E.; Chica, J.L.; Araújo, M.; Oliveira, C. Antibiotic Resistance of Bacteria Involved in Urinary Infections in Brazil: A Cross-Sectional and Retrospective Study. Int. J. Environ. Res. Public Health 2016, 13, 918. [Google Scholar] [CrossRef] [Green Version]
  13. Song, D.W.; Park, B.K.; Suh, S.W.; Lee, S.E.; Kim, J.W.; Park, J.-M.; Kim, H.R.; Lee, M.-K.; Choi, Y.S.; Kim, B.G.; et al. Bacterial Culture and Antibiotic Susceptibility in Patients with Acute Appendicitis. Int. J. Colorectal Dis. 2018, 33, 441–447. [Google Scholar] [CrossRef] [PubMed]
  14. Park, J.; Kim, S.; Lim, H.; Liu, A.; Hu, S.; Lee, J.; Zhuo, H.; Hao, Q.; Matthay, M.A.; Lee, J.-W. Therapeutic Effects of Human Mesenchymal Stem Cell Microvesicles in an Ex Vivo Perfused Human Lung Injured with Severe E. Coli Pneumonia. Thorax 2019, 74, 43–50. [Google Scholar] [CrossRef] [Green Version]
  15. Zhao, W.-D.; Liu, D.-X.; Wei, J.-Y.; Miao, Z.-W.; Zhang, K.; Su, Z.-K.; Zhang, X.-W.; Li, Q.; Fang, W.-G.; Qin, X.-X.; et al. Caspr1 Is a Host Receptor for Meningitis-Causing Escherichia Coli. Nat. Commun. 2018, 9, 2296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Akuzawa, N.; Kurabayashi, M. Native Valve Endocarditis Due to Escherichia Coli Infection: A Case Report and Review of the Literature. BMC Cardiovasc. Disord. 2018, 18, 195. [Google Scholar] [CrossRef]
  17. Sarowska, J.; Koloch, B.F.; Kmiecik, A.J.; Madrzak, M.F.; Ksiazczyk, M.; Ploskonska, G.B.; Krol, I.C. Virulence Factors, Prevalence and Potential Transmission of Extraintestinal Pathogenic Escherichia Coli Isolated from Different Sources: Recent Reports. Gut Pathog. 2019, 11, 10. [Google Scholar] [CrossRef] [Green Version]
  18. Poolman, J.T.; Anderson, A.S. Escherichia Coli and Staphylococcus Aureus: Leading Bacterial Pathogens of Healthcare Associated Infections and Bacteremia in Older-Age Populations. Expert Rev. Vaccines 2018, 17, 607–618. [Google Scholar] [CrossRef]
  19. Kubone, P.Z.; Mlisana, K.P.; Govinden, U.; Abia, A.L.K.; Essack, S.Y. Antibiotic Susceptibility and Molecular Characterization of Uropathogenic Escherichia Coli Associated with Community-Acquired Urinary Tract Infections in Urban and Rural Settings in South Africa. Trop. Med. Infect. Dis. 2020, 5, 176. [Google Scholar] [CrossRef]
  20. Djordjevic, Z.; Folic, M.; Jankovic, S. Community-Acquired Urinary Tract Infections: Causative Agents and Their Resistance to Antimicrobial Drugs. Vojnosanit. Pregl. 2016, 73, 1109–1115. [Google Scholar] [CrossRef]
  21. Gaynes, R. The Discovery of Penicillin—New Insights After More Than 75 Years of Clinical Use. Emerg. Infect. Dis. 2017, 23, 849–853. [Google Scholar] [CrossRef]
  22. Hutchings, M.I.; Truman, A.W.; Wilkinson, B. Antibiotics: Past, Present and Future. Curr. Opin. Microbiol. 2019, 51, 72–80. [Google Scholar] [CrossRef] [PubMed]
  23. Dodds, D.R. Antibiotic Resistance: A Current Epilogue. Biochem. Pharmacol. 2017, 134, 139–146. [Google Scholar] [CrossRef] [PubMed]
  24. Aminov, R. History of Antimicrobial Drug Discovery: Major Classes and Health Impact. Biochem. Pharmacol. 2017, 133, 4–19. [Google Scholar] [CrossRef] [PubMed]
  25. de Opitz, C.L.M.; Sass, P. Tackling Antimicrobial Resistance by Exploring New Mechanisms of Antibiotic Action. Future Microbiol. 2020, 15, 703–708. [Google Scholar] [CrossRef]
  26. Gajdács, M.; Albericio, F. Antibiotic Resistance: From the Bench to Patients. Antibiotics 2019, 8, 129. [Google Scholar] [CrossRef] [Green Version]
  27. Coates, A.R.M.; Hu, Y.; Holt, J.; Yeh, P. Antibiotic Combination Therapy against Resistant Bacterial Infections: Synergy, Rejuvenation and Resistance Reduction. Expert Rev. Anti Infect. Ther. 2020, 18, 5–15. [Google Scholar] [CrossRef]
  28. Wong, J.W.; Ip, M.; Tang, A.; Wei, V.W.; Wong, S.Y.; Riley, S.; Read, J.M.; Kwok, K.O. Prevalence and Risk Factors of Community-Associated Methicillin-Resistant Staphylococcus Aureus Carriage in Asia-Pacific Region from 2000 to 2016: A Systematic Review and Meta-Analysis. Clin. Epidemiol. 2018, 10, 1489–1501. [Google Scholar] [CrossRef] [Green Version]
  29. Adeiza, S.S.; Onaolapo, J.A.; Olayinka, B.O. Prevalence, Risk-Factors, and Antimicrobial Susceptibility Profile of Methicillin-Resistant Staphylococcus Aureus (MRSA) Obtained from Nares of Patients and Staff of Sokoto State-Owned Hospitals in Nigeria. GMS Hyg. Infect. Control 2020, 15, Doc25. [Google Scholar] [CrossRef]
  30. Queenan, K.; Häsler, B.; Rushton, J. A One Health Approach to Antimicrobial Resistance Surveillance: Is There a Business Case for It? Int. J. Antimicrob. Agents 2016, 48, 422–427. [Google Scholar] [CrossRef] [Green Version]
  31. Tillotson, G.S.; Zinner, S.H. Burden of Antimicrobial Resistance in an Era of Decreasing Susceptibility. Expert Rev. Anti Infect. Ther. 2017, 15, 663–676. [Google Scholar] [CrossRef] [PubMed]
  32. Heward, E.; Cullen, M.; Hobson, J. Microbiology and Antimicrobial Susceptibility of Otitis Externa: A Changing Pattern of Antimicrobial Resistance. J. Laryngol. Otol. 2018, 132, 314–317. [Google Scholar] [CrossRef]
  33. Cillóniz, C.; Ardanuy, C.; Vila, J.; Torres, A. What Is the Clinical Relevance of Drug-Resistant Pneumococcus? Curr. Opin. Pulm. Med. 2016, 22, 227–234. [Google Scholar] [CrossRef] [PubMed]
  34. Roman, A.C.; Roman, J.V.; Flores, M.A.V.; Villaseñor, H.F.; Vidal, J.E.; Amador, S.M.; Llanos, A.M.G.; Nuñez, E.G.; Serrano, J.M.; Pastrana, G.T.; et al. Detection of Antimicrobial-Resistance Diarrheagenic Escherichia Coli Strains in Surface Water Used to Irrigate Food Products in the Northwest of Mexico. Int. J. Food Microbiol. 2019, 304, 1–10. [Google Scholar] [CrossRef] [PubMed]
  35. Relhan, N.; Pathengay, A.; Schwartz, S.G.; Flynn, H.W. Emerging Worldwide Antimicrobial Resistance, Antibiotic Stewardship and Alternative Intravitreal Agents for the Treatment of Endophthalmitis. Retina 2017, 37, 811–818. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Tomičić, Z.; Čabarkapa, I.; Čolović, R.; Đuragić, O.; Tomičić, R. Salmonella in the Feed Industry: Problems and Potential Solutions. J. Agron. Technol. Eng. Manag. 2019, 2, 130–137. [Google Scholar]
  37. Serwecińska, L.; Kiedrzyńska, E.; Kiedrzyński, M. A Catchment-Scale Assessment of the Sanitary Condition of Treated Wastewater and River Water Based on Fecal Indicators and Carbapenem-Resistant Acinetobacter Spp. Sci. Total Environ. 2021, 750, 142266. [Google Scholar] [CrossRef] [PubMed]
  38. Tagliabue, A.; Rappuoli, R. Changing Priorities in Vaccinology: Antibiotic Resistance Moving to the Top. Front. Immunol. 2018, 9, 1068. [Google Scholar] [CrossRef] [PubMed]
  39. Mutairi, R.A.; Tovmasyan, A.; Haberle, I.B.; Benov, L. Sublethal Photodynamic Treatment Does Not Lead to Development of Resistance. Front. Microbiol. 2018, 9, 1699. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Hong, J.; Hu, J.; Ke, F. Experimental Induction of Bacterial Resistance to the Antimicrobial Peptide Tachyplesin I and Investigation of the Resistance Mechanisms. Antimicrob. Agents Chemother. 2016, 60, 6067–6075. [Google Scholar] [CrossRef] [Green Version]
  41. van den Bergh, B.; Michiels, J.E.; Fauvart, M.; Michiels, J. Should We Develop Screens for Multi-Drug Antibiotic Tolerance? Expert Rev. Anti Infect. Ther. 2016, 14, 613–616. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Spagnolo, F.; Rinaldi, C.; Sajorda, D.R.; Dykhuizen, D.E. Evolution of Resistance to Continuously Increasing Streptomycin Concentrations in Populations of Escherichia Coli. Antimicrob. Agents Chemother. 2016, 60, 1336–1342. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Iakovides, I.C.; Kordatou, I.M.; Moreira, N.F.F.; Ribeiro, A.R.; Fernandes, T.; Pereira, M.F.R.; Nunes, O.C.; Manaia, C.M.; Silva, A.M.T.; Kassinos, D.F. Continuous Ozonation of Urban Wastewater: Removal of Antibiotics, Antibiotic-Resistant Escherichia Coli and Antibiotic Resistance Genes and Phytotoxicity. Water Res. 2019, 159, 333–347. [Google Scholar] [CrossRef] [PubMed]
  44. Dass, S.C.; Bosilevac, J.M.; Weinroth, M.; Elowsky, C.G.; Zhou, Y.; Anandappa, A.; Wang, R. Impact of Mixed Biofilm Formation with Environmental Microorganisms on E. Coli O157:H7 Survival against Sanitization. NPJ Sci. Food 2020, 4, 16. [Google Scholar] [CrossRef]
  45. Khan, S.; Imran, A.; Malik, A.; Chaudhary, A.A.; Rub, A.; Jan, A.T.; Syed, J.B.; Rolfo, C. Bacterial Imbalance and Gut Pathologies: Association and Contribution of E. Coli in Inflammatory Bowel Disease. Crit. Rev. Clin. Lab. Sci. 2019, 56, 1–17. [Google Scholar] [CrossRef] [PubMed]
  46. Danson, A.E.; McStea, A.; Wang, L.; Pollitt, A.Y.; Fernandez, M.L.M.; Moraes, I.; Walsh, M.A.; MacIntyre, S.; Watson, K.A. Super-Resolution Fluorescence Microscopy Reveals Clustering Behaviour of Chlamydia Pneumoniae’s Major Outer Membrane Protein. Biology 2020, 9, 344. [Google Scholar] [CrossRef]
  47. Pereira, R.V.; Altier, C.; Siler, J.D.; Mann, S.; Jordan, D.; Warnick, L.D. Longitudinal Effects of Enrofloxacin or Tulathromycin Use in Preweaned Calves at High Risk of Bovine Respiratory Disease on the Shedding of Antimicrobial-Resistant Fecal Escherichia Coli. J. Dairy Sci. 2020, 103, 10547–10559. [Google Scholar] [CrossRef]
  48. Ellis, S.J.; Crossman, L.C.; McGrath, C.J.; Chattaway, M.A.; Hölken, J.M.; Brett, B.; Bundy, L.; Kay, G.L.; Wain, J.; Schüller, S. Identification and Characterisation of Enteroaggregative Escherichia Coli Subtypes Associated with Human Disease. Sci. Rep. 2020, 10, 7475. [Google Scholar] [CrossRef]
  49. Kwong, L.H.; Ercumen, A.; Pickering, A.J.; Arsenault, J.E.; Islam, M.; Parvez, S.M.; Unicomb, L.; Rahman, M.; Davis, J.; Luby, S.P. Ingestion of Fecal Bacteria along Multiple Pathways by Young Children in Rural Bangladesh Participating in a Cluster-Randomized Trial of Water, Sanitation, and Hygiene Interventions (WASH Benefits). Environ. Sci. Technol. 2020, 54, 13828–13838. [Google Scholar] [CrossRef]
  50. Lauridsen, H.C.M.; Vallance, B.A.; Krogfelt, K.A.; Petersen, A.M. Escherichia Coli Pathobionts Associated with Inflammatory Bowel Disease. Clin. Microbiol. Rev. 2019, 32, e00060-18. [Google Scholar] [CrossRef] [Green Version]
  51. Lopes, J.G.; Sourjik, V. Chemotaxis of Escherichia Coli to Major Hormones and Polyamines Present in Human Gut. ISME J. 2018, 12, 2736–2747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Poirel, L.; Madec, J.-Y.; Lupo, A.; Schink, A.-K.; Kieffer, N.; Nordmann, P.; Schwarz, S. Antimicrobial Resistance in Escherichia coli. In Antimicrobial Resistance in Bacteria from Livestock and Companion Animals; Schwarz, S., Cavaco, L.M., Shen, J., Eds.; ASM Press: Washington, DC, USA, 2018; pp. 289–316. ISBN 978-1-68367-052-0. [Google Scholar]
  53. Card, R.M.; Cawthraw, S.A.; Garcia, J.N.; Ellis, R.J.; Kay, G.; Pallen, M.J.; Woodward, M.J.; Anjum, M.F. An In Vitro Chicken Gut Model Demonstrates Transfer of a Multidrug Resistance Plasmid from Salmonella to Commensal Escherichia Coli. mBio 2017, 8, e00777-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Ramiro, R.S.; Durão, P.; Bank, C.; Gordo, I. Low Mutational Load and High Mutation Rate Variation in Gut Commensal Bacteria. PLoS Biol. 2020, 18, e3000617. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Villa, E.B.; de la Peña, C.F.M.; Zaraín, P.L.; Cevallos, M.A.; Torres, C.; Torres, A.G.; Gracia, R.d.C.R. Comparative Genomics of a Subset of Adherent/Invasive Escherichia Coli Strains Isolated from Individuals without Inflammatory Bowel Disease. Genomics 2020, 112, 1813–1820. [Google Scholar] [CrossRef] [PubMed]
  56. Papouskova, A.; Masarikova, M.; Valcek, A.; Senk, D.; Cejkova, D.; Jahodarova, E.; Cizek, A. Genomic Analysis of Escherichia Coli Strains Isolated from Diseased Chicken in the Czech Republic. BMC Vet. Res. 2020, 16, 189. [Google Scholar] [CrossRef]
  57. Aslam, B.; Wang, W.; Arshad, M.I.; Khurshid, M.; Muzammil, S.; Rasool, M.H.; Nisar, M.A.; Alvi, R.F.; Aslam, M.A.; Qamar, M.U.; et al. Antibiotic Resistance: A Rundown of a Global Crisis. Infect. Drug Resist. 2018, 11, 1645–1658. [Google Scholar] [CrossRef] [Green Version]
  58. Mihankhah, A.; Khoshbakht, R.; Raeisi, M.; Raeisi, V. Prevalence and Antibiotic Resistance Pattern of Bacteria Isolated from Urinary Tract Infections in Northern Iran. J. Res. Med. Sci. 2017, 22, 108. [Google Scholar] [CrossRef]
  59. Millan, A.S. Evolution of Plasmid-Mediated Antibiotic Resistance in the Clinical Context. Trends Microbiol. 2018, 26, 978–985. [Google Scholar] [CrossRef] [Green Version]
  60. Ljubojević, D.; Velhner, M.; Todorović, D.; Pajić, M.; Milanov, D. Tetracycline Resistance in Escherichia Coli Isolates from Poultry. Arch. Vet. Med. 2016, 9, 61–81. [Google Scholar] [CrossRef]
  61. Puvača, N.; Lika, E.; Tufarelli, V.; Bursić, V.; Ljubojević Pelić, D.; Nikolova, N.; Petrović, A.; Prodanović, R.; Vuković, G.; Lević, J.; et al. Influence of Different Tetracycline Antimicrobial Therapy of Mycoplasma (Mycoplasma Synoviae) in Laying Hens Compared to Tea Tree Essential Oil on Table Egg Quality and Antibiotics Residues. Foods 2020, 9, 612. [Google Scholar] [CrossRef]
  62. Abdelhalim, K.A.; Uzel, A.; Ünal, N.G. Virulence Determinants and Genetic Diversity of Adherent-Invasive Escherichia Coli (AIEC) Strains Isolated from Patients with Crohn’s Disease. Microb. Pathog. 2020, 145, 104233. [Google Scholar] [CrossRef] [PubMed]
  63. Kilani, H.; Ferjani, S.; Mansouri, R.; Benboubaker, I.B.; Abbassi, M.S. Occurrence of Plasmid-Mediated Quinolone Resistance Determinants among Escherichia Coli Strains Isolated from Animals in Tunisia: Specific Pathovars Acquired Qnr Genes. J. Glob. Antimicrob. Resist. 2020, 20, 50–55. [Google Scholar] [CrossRef] [PubMed]
  64. Yu, Z.N.; Wang, J.; Ho, H.; Wang, Y.T.; Huang, S.N.; Han, R.W. Prevalence and Antimicrobial-Resistance Phenotypes and Genotypes of Escherichia Coli Isolated from Raw Milk Samples from Mastitis Cases in Four Regions of China. J. Glob. Antimicrob. Resist. 2020, 22, 94–101. [Google Scholar] [CrossRef] [PubMed]
  65. Farahat, E.M.; Hassuna, N.A.; Hammad, A.M.; Abdel Fattah, M.; Khairalla, A.S. Distribution of Integrons and Phylogenetic Groups among Escherichia Coli Causing Community-acquired Urinary Tract Infection in Upper Egypt. Can. J. Microbiol. 2020, cjm-2020-0292. [Google Scholar] [CrossRef] [PubMed]
  66. Ramay, B.M.; Caudell, M.A.; Rosales, C.C.; Archila, L.D.; Palmer, G.H.; Jarquin, C.; Moreno, P.; McCracken, J.P.; Rosenkrantz, L.; Amram, O.; et al. Antibiotic Use and Hygiene Interact to Influence the Distribution of Antimicrobial-Resistant Bacteria in Low-Income Communities in Guatemala. Sci. Rep. 2020, 10, 13767. [Google Scholar] [CrossRef]
  67. Farahani, O.; Ranjbar, R.; Jahromy, S.H.; Arabzadeh, B. Multilocus Variable-Number Tandem-Repeat Analysis for Genotyping of Escherichia Coli Strains Isolated from Hospital Wastewater, Tehran, Iran. Iran J. Public Health 2020, 49, 4829. [Google Scholar] [CrossRef]
  68. Riquelme, F.M.; Hernández, E.C.; Soto, M.G.; Ruiz, M.E.; Marí, J.M.N.; Fernández, J.G. Clinical Relevance of Antibiotic Susceptibility Profiles for Screening Gram-Negative Microorganisms Resistant to Beta-Lactam Antibiotics. Microorganisms 2020, 8, 1555. [Google Scholar] [CrossRef]
  69. Kapoor, G.; Saigal, S.; Elongavan, A. Action and Resistance Mechanisms of Antibiotics: A Guide for Clinicians. J. Anaesthesiol. Clin. Pharmacol. 2017, 33, 300–305. [Google Scholar] [CrossRef]
  70. Rahman, S.U.; Ali, T.; Ali, I.; Khan, N.A.; Han, B.; Gao, J. The Growing Genetic and Functional Diversity of Extended Spectrum Beta-Lactamases. BioMed Res. Int. 2018, 2018, 9519718. [Google Scholar] [CrossRef]
  71. Doma, A.O.; Popescu, R.; Mitulețu, M.; Muntean, D.; Dégi, J.; Boldea, M.V.; Radulov, I.; Dumitrescu, E.; Muselin, F.; Puvača, N.; et al. Comparative Evaluation of QnrA, QnrB, and QnrS Genes in Enterobacteriaceae Ciprofloxacin-Resistant Cases, in Swine Units and a Hospital from Western Romania. Antibiotics 2020, 9, 698. [Google Scholar] [CrossRef]
  72. Rilo, M.P.; Martín, C.-B.G.; Fernández, E.P.; Vilaró, A.; Fraile, L.; Martínez, S.M. Antimicrobial Resistance Genes in Porcine Pasteurella Multocida Are Not Associated with Its Antimicrobial Susceptibility Pattern. Antibiotics 2020, 9, 614. [Google Scholar] [CrossRef] [PubMed]
  73. Torban, A.S.; Venezia, S.N.; Kelmer, E.; Cohen, A.; Paitan, Y.; Arielly, H.; Steinman, A. Extended-Spectrum β-Lactamase-Producing Enterobacterles Shedding by Dogs and Cats Hospitalized in an Emergency and Critical Care Department of a Veterinary Teaching Hospital. Antibiotics 2020, 9, 545. [Google Scholar] [CrossRef] [PubMed]
  74. Falgenhauer, L.; Schwengers, O.; Schmiedel, J.; Baars, C.; Lambrecht, O.; Heß, S.; Berendonk, T.U.; Falgenhauer, J.; Chakraborty, T.; Imirzalioglu, C. Multidrug-Resistant and Clinically Relevant Gram-Negative Bacteria Are Present in German Surface Waters. Front. Microbiol. 2019, 10, 2779. [Google Scholar] [CrossRef] [PubMed]
  75. Santos, A.C.d.M.; Santos, F.F.; Silva, R.M.; Gomes, T.A.T. Diversity of Hybrid- and Hetero-Pathogenic Escherichia Coli and Their Potential Implication in More Severe Diseases. Front. Cell Infect. Microbiol. 2020, 10, 339. [Google Scholar] [CrossRef] [PubMed]
  76. Qiu, W.; Sun, J.; Fang, M.; Luo, S.; Tian, Y.; Dong, P.; Xu, B.; Zheng, C. Occurrence of Antibiotics in the Main Rivers of Shenzhen, China: Association with Antibiotic Resistance Genes and Microbial Community. Sci. Total Environ. 2019, 653, 334–341. [Google Scholar] [CrossRef]
  77. Sanganyado, E.; Gwenzi, W. Antibiotic Resistance in Drinking Water Systems: Occurrence, Removal, and Human Health Risks. Sci. Total Environ. 2019, 669, 785–797. [Google Scholar] [CrossRef]
  78. Mölstad, S.; Löfmark, S.; Carlin, K.; Erntell, M.; Aspevall, O.; Blad, L.; Hanberger, H.; Hedin, K.; Hellman, J.; Norman, C.; et al. Lessons Learnt during 20 Years of the Swedish Strategic Programme against Antibiotic Resistance. Bull. World Health Organ. 2017, 95, 764–773. [Google Scholar] [CrossRef]
  79. Osińska, A.; Korzeniewska, E.; Harnisz, M.; Niestępski, S. The Prevalence and Characterization of Antibiotic-Resistant and Virulent Escherichia Coli Strains in the Municipal Wastewater System and Their Environmental Fate. Sci. Total Environ. 2017, 577, 367–375. [Google Scholar] [CrossRef]
  80. Montealegre, M.C.; Roy, S.; Böni, F.; Hossain, M.I.; Daneshmand, T.N.; Caduff, L.; Faruque, A.S.G.; Islam, M.A.; Julian, T.R. Risk Factors for Detection, Survival, and Growth of Antibiotic-Resistant and Pathogenic Escherichia Coli in Household Soils in Rural Bangladesh. Appl. Environ. Microbiol. 2018, 84, e01978-18. [Google Scholar] [CrossRef] [Green Version]
  81. Kaesbohrer, A.; Lebl, K.B.; Irrgang, A.; Fischer, J.; Kämpf, P.; Schiffmann, A.; Werckenthin, C.; Busch, M.; Kreienbrock, L.; Hille, K. Diversity in Prevalence and Characteristics of ESBL/PAmpC Producing E. Coli in Food in Germany. Vet. Microbiol. 2019, 233, 52–60. [Google Scholar] [CrossRef]
  82. Marano, R.B.M.; Fernandes, T.; Manaia, C.M.; Nunes, O.; Morrison, D.; Berendonk, T.U.; Kreuzinger, N.; Tenson, T.; Corno, G.; Kassinos, D.F.; et al. A Global Multinational Survey of Cefotaxime-Resistant Coliforms in Urban Wastewater Treatment Plants. Environ. Int. 2020, 144, 106035. [Google Scholar] [CrossRef] [PubMed]
  83. Gardy, J.L.; Loman, N.J. Towards a Genomics-Informed, Real-Time, Global Pathogen Surveillance System. Nat. Rev. Genet 2018, 19, 9–20. [Google Scholar] [CrossRef] [PubMed]
  84. Ferran, A.A.; Lacroix, M.Z.; Mélou, A.B.; Duhil, I.; Roques, B.B. Levers to Improve Antibiotic Treatment of Lambs via Drinking Water in Sheep Fattening Houses: The Example of the Sulfadimethoxine/Trimethoprim Combination. Antibiotics 2020, 9, 561. [Google Scholar] [CrossRef] [PubMed]
  85. Vilaró, A.; Novell, E.; Tarancón, V.E.; Balielles, J.; Vilalta, C.; Martinez, S.; Fraile Sauce, L.J. Antimicrobial Susceptibility Pattern of Porcine Respiratory Bacteria in Spain. Antibiotics 2020, 9, 402. [Google Scholar] [CrossRef] [PubMed]
  86. Mileva, R.; Karadaev, M.; Fasulkov, I.; Petkova, T.; Rusenova, N.; Vasilev, N.; Milanova, A. Oxytetracycline Pharmacokinetics After Intramuscular Administration in Cows with Clinical Metritis Associated with Trueperella Pyogenes Infection. Antibiotics 2020, 9, 392. [Google Scholar] [CrossRef]
  87. Martens, E.; Demain, A.L. The Antibiotic Resistance Crisis, with a Focus on the United States. J. Antibiot. 2017, 70, 520–526. [Google Scholar] [CrossRef] [Green Version]
  88. Padmini, N.; Ajilda, A.A.K.; Sivakumar, N.; Selvakumar, G. Extended Spectrum β-Lactamase Producing Escherichia Coli and Klebsiella Pneumoniae: Critical Tools for Antibiotic Resistance Pattern. J. Basic Microbiol. 2017, 57, 460–470. [Google Scholar] [CrossRef]
  89. Sharaha, U.; Diaz, E.R.; Riesenberg, K.; Bigio, I.J.; Huleihel, M.; Salman, A. Using Infrared Spectroscopy and Multivariate Analysis to Detect Antibiotics’ Resistant Escherichia Coli Bacteria. Anal. Chem. 2017, 89, 8782–8790. [Google Scholar] [CrossRef]
  90. Moradigaravand, D.; Palm, M.; Farewell, A.; Mustonen, V.; Warringer, J.; Parts, L. Prediction of Antibiotic Resistance in Escherichia Coli from Large-Scale Pan-Genome Data. PLoS Comput. Biol. 2018, 14, e1006258. [Google Scholar] [CrossRef] [Green Version]
  91. Lukačišinová, M.; Fernando, B.; Bollenbach, T. Highly Parallel Lab Evolution Reveals That Epistasis Can Curb the Evolution of Antibiotic Resistance. Nat. Commun. 2020, 11, 3105. [Google Scholar] [CrossRef]
  92. Swain, S.S.; Paidesetty, S.K.; Padhy, R.N. Phytochemical Conjugation as a Potential Semisynthetic Approach toward Reactive and Reuse of Obsolete Sulfonamides against Pathogenic Bacteria. Drug Dev. Res. 2020, ddr.21746. [Google Scholar] [CrossRef] [PubMed]
  93. World Health Organization. WHO Report on Surveillance of Antibiotic Consumption: 2016–2018 Early Implementation; World Health Organization: Geneva, Switzerland, 2018; p. 128. [Google Scholar]
  94. Colson, A.R.; Megiddo, I.; Uria, G.A.; Gandra, S.; Bedford, T.; Morton, A.; Cooke, R.M.; Laxminarayan, R. Quantifying Uncertainty about Future Antimicrobial Resistance: Comparing Structured Expert Judgment and Statistical Forecasting Methods. PLoS ONE 2019, 14, e0219190. [Google Scholar] [CrossRef] [PubMed]
  95. Sartelli, M.C.; Hardcastle, T.; Catena, F.; Mefire, A.C.; Coccolini, F.; Dhingra, S.; Haque, M.; Hodonou, A.; Iskandar, K.; Labricciosa, F.M.; et al. Antibiotic Use in Low and Middle-Income Countries and the Challenges of Antimicrobial Resistance in Surgery. Antibiotics 2020, 9, 497. [Google Scholar] [CrossRef]
  96. Hsia, Y.; Sharland, M.; Jackson, C.; Wong, I.C.K.; Magrini, N.; Bielicki, J.A. Consumption of Oral Antibiotic Formulations for Young Children According to the WHO Access, Watch, Reserve (AWaRe) Antibiotic Groups: An Analysis of Sales Data from 70 Middle-Income and High-Income Countries. Lancet Infect. Dis. 2019, 19, 67–75. [Google Scholar] [CrossRef]
  97. Yan, W.; Xiao, Y.; Yan, W.; Ding, R.; Wang, S.; Zhao, F. The Effect of Bioelectrochemical Systems on Antibiotics Removal and Antibiotic Resistance Genes: A Review. Chem. Eng. J. 2019, 358, 1421–1437. [Google Scholar] [CrossRef]
  98. Xie, J.; Jin, L.; He, T.; Chen, B.; Luo, X.; Feng, B.; Huang, W.; Li, J.; Fu, P.; Li, X. Bacteria and Antibiotic Resistance Genes (ARGs) in PM 2.5 from China: Implications for Human Exposure. Environ. Sci. Technol. 2019, 53, 963–972. [Google Scholar] [CrossRef]
  99. Palme, J.B.; Kristiansson, E.; Larsson, D.G.J. Environmental Factors Influencing the Development and Spread of Antibiotic Resistance. FEMS Microbiol. Rev. 2018, 42, fux053. [Google Scholar] [CrossRef]
  100. Merrikh, H.; Kohli, R.M. Targeting Evolution to Inhibit Antibiotic Resistance. FEBS J. 2020, 287, 4341–4353. [Google Scholar] [CrossRef]
  101. Marine, J.-C.; Dawson, S.-J.; Dawson, M.A. Non-Genetic Mechanisms of Therapeutic Resistance in Cancer. Nat. Rev. Cancer 2020, 20, 743–756. [Google Scholar] [CrossRef]
  102. Heir, E.; Møretrø, T.; Simensen, A.; Langsrud, S. Listeria Monocytogenes Strains Show Large Variations in Competitive Growth in Mixed Culture Biofilms and Suspensions with Bacteria from Food Processing Environments. Int. J. Food Microbiol. 2018, 275, 46–55. [Google Scholar] [CrossRef]
  103. Stubbendieck, R.M.; May, D.S.; Chevrette, M.G.; Temkin, M.I.; Pienkowski, E.W.; Cagnazzo, J.; Carlson, C.M.; Gern, J.E.; Currie, C.R. Competition among Nasal Bacteria Suggests a Role for Siderophore-Mediated Interactions in Shaping the Human Nasal Microbiota. Appl. Environ. Microbiol. 2018, 85, e02406-18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. de Filippis, F.; Pasolli, E.; Ercolini, D. The Food-Gut Axis: Lactic Acid Bacteria and Their Link to Food, the Gut Microbiome and Human Health. FEMS Microbiol. Rev. 2020, 44, 454–489. [Google Scholar] [CrossRef] [PubMed]
  105. Iwu, C.D.; Korsten, L.; Okoh, A.I. The Incidence of Antibiotic Resistance within and beyond the Agricultural Ecosystem: A Concern for Public Health. Microbiol. Open 2020, 9, e1035. [Google Scholar] [CrossRef] [PubMed]
  106. Calap, P.D.; Martínez, J.D. Bacteriophages: Protagonists of a Post-Antibiotic Era. Antibiotics 2018, 7, 66. [Google Scholar] [CrossRef] [Green Version]
  107. Reygaert, W.C. An Overview of the Antimicrobial Resistance Mechanisms of Bacteria. AIMS Microbiol. 2018, 4, 482–501. [Google Scholar] [CrossRef]
  108. Wang, Y.; Alenazy, R.; Gu, X.; Polyak, S.W.; Zhang, P.; Sykes, M.J.; Zhang, N.; Venter, H.; Ma, S. Design and Structural Optimization of Novel 2H-Benzo[h]Chromene Derivatives That Target AcrB and Reverse Bacterial Multidrug Resistance. Eur. J. Med. Chem. 2020, 113049. [Google Scholar] [CrossRef]
  109. Impey, R.E.; Hawkins, D.A.; Sutton, J.M.; da Costa, T.P.S. Overcoming Intrinsic and Acquired Resistance Mechanisms Associated with the Cell Wall of Gram-Negative Bacteria. Antibiotics 2020, 9, 623. [Google Scholar] [CrossRef]
  110. Iskandar, K.; Molinier, L.; Hallit, S.; Sartelli, M.; Catena, F.; Coccolini, F.; Craig Hardcastle, T.; Roques, C.; Salameh, P. Drivers of Antibiotic Resistance Transmission in Low- and Middle-Income Countries from a “One Health” Perspective—A Review. Antibiotics 2020, 9, 372. [Google Scholar] [CrossRef]
  111. Dsani, E.; Afari, E.A.; Appiah, A.D.; Kenu, E.; Kaburi, B.B.; Egyir, B. Antimicrobial Resistance and Molecular Detection of Extended Spectrum β-Lactamase Producing Escherichia Coli Isolates from Raw Meat in Greater Accra Region, Ghana. BMC Microbiol. 2020, 20, 253. [Google Scholar] [CrossRef]
  112. Hassan, J.; Eddine, R.Z.; Mann, D.; Li, S.; Deng, X.; Saoud, I.P.; Kassem, I.I. The Mobile Colistin Resistance Gene, Mcr-1.1, Is Carried on IncX4 Plasmids in Multidrug Resistant E. Coli Isolated from Rainbow Trout Aquaculture. Microorganisms 2020, 8, 1636. [Google Scholar] [CrossRef]
  113. Montealegre, M.C.; Rodríguez, A.T.; Roy, S.; Hossain, M.I.; Islam, M.A.; Lanza, V.F.; Julian, T.R. High Genomic Diversity and Heterogenous Origins of Pathogenic and Antibiotic-Resistant Escherichia Coli in Household Settings Represent a Challenge to Reducing Transmission in Low-Income Settings. mSphere 2020, 5, e00704-19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Alexander, J.; Hembach, N.; Schwartz, T. Evaluation of Antibiotic Resistance Dissemination by Wastewater Treatment Plant Effluents with Different Catchment Areas in Germany. Sci. Rep. 2020, 10, 8952. [Google Scholar] [CrossRef] [PubMed]
  115. Pang, X.; Li, D.; Zhu, J.; Cheng, J.; Liu, G. Beyond Antibiotics: Photo/Sonodynamic Approaches for Bacterial Theranostics. Nano Micro Lett. 2020, 12, 144. [Google Scholar] [CrossRef]
  116. Durão, P.; Balbontín, R.; Gordo, I. Evolutionary Mechanisms Shaping the Maintenance of Antibiotic Resistance. Trends Microbiol. 2018, 26, 677–691. [Google Scholar] [CrossRef] [Green Version]
  117. Ivanov, I.I.; Frutos, R.d.L.; Manel, N.; Yoshinaga, K.; Rifkin, D.B.; Sartor, R.B.; Finlay, B.B.; Littman, D.R. Specific Microbiota Direct the Differentiation of IL-17-Producing T-Helper Cells in the Mucosa of the Small Intestine. Cell Host Microbe. 2008, 4, 337–349. [Google Scholar] [CrossRef] [Green Version]
  118. Lobanovska, M.; Pilla, G. Penicillin’s Discovery and Antibiotic Resistance: Lessons for the Future? Yale J. Biol. Med. 2017, 90, 135–145. [Google Scholar]
  119. Lartey, S.F.; Yee, M.; Gaarslev, C.; Khan, R. Why Do General Practitioners Prescribe Antibiotics for Upper Respiratory Tract Infections to Meet Patient Expectations: A Mixed Methods Study. BMJ Open 2016, 6, e012244. [Google Scholar] [CrossRef] [Green Version]
  120. Chui, C.S.L.; Cowling, B.J.; Lim, W.W.; Hui, C.K.M.; Chan, E.W.; Wong, I.C.K.; Wu, P. Patterns of Inpatient Antibiotic Use Among Public Hospitals in Hong Kong from 2000 to 2015. Drug Saf. 2020, 43, 595–606. [Google Scholar] [CrossRef]
  121. Osoro, A.A.; Atitwa, E.B.; Moturi, J.K. Universal Health Coverage. WJSSR 2020, 7, p14. [Google Scholar] [CrossRef]
  122. Tsao, L.-H.; Hsin, C.-Y.; Liu, H.-Y.; Chuang, H.-C.; Chen, L.-Y.; Lee, Y.-J. Risk Factors for Healthcare-Associated Infection Caused by Carbapenem-Resistant Pseudomonas Aeruginosa. J. Microbiol. Immunol. Infect. 2018, 51, 359–366. [Google Scholar] [CrossRef]
  123. Dhesi, Z.; Enne, V.I.; O’Grady, J.; Gant, V.; Livermore, D.M. Rapid and Point-of-Care Testing in Respiratory Tract Infections: An Antibiotic Guardian? ACS Pharmacol. Transl. Sci. 2020, 3, 401–417. [Google Scholar] [CrossRef] [PubMed]
  124. David, S.; Reuter, S.; Harris, S.R.; Glasner, C.; Feltwell, T.; Argimon, S.; Abudahab, K.; Goater, R.; Giani, T.; Errico, G.; et al. Epidemic of Carbapenem-Resistant Klebsiella Pneumoniae in Europe Is Driven by Nosocomial Spread. Nat. Microbiol. 2019, 4, 1919–1929. [Google Scholar] [CrossRef] [PubMed]
  125. Codjoe, F.; Donkor, E. Carbapenem Resistance: A Review. Med. Sci. 2017, 6, 1. [Google Scholar] [CrossRef] [Green Version]
  126. Pitout, J.D.D.; Peirano, G.; Kock, M.M.; Strydom, K.-A.; Matsumura, Y. The Global Ascendency of OXA-48-Type Carbapenemases. Clin. Microbiol. Rev. 2019, 33, e00102-19. [Google Scholar] [CrossRef] [PubMed]
  127. Paterson, D.L.; Bonomo, R.A. Multidrug-Resistant Gram-Negative Pathogens: The Urgent Need for ‘Old’ Polymyxins. In Polymyxin Antibiotics: From Laboratory Bench to Bedside; Li, J., Nation, R.L., Kaye, K.S., Eds.; Advances in Experimental Medicine and Biology; Springer International Publishing: Cham, The Netherlands, 2019; Volume 1145, pp. 9–13. ISBN 978-3-030-16371-6. [Google Scholar]
  128. Godman, B. Ongoing Initiatives to Improve the Prescribing of Medicines across Sectors and the Implications. Adv. Hum. Biol. 2020, 10, 85. [Google Scholar] [CrossRef]
  129. Mcoyi, S.; Amoako, D.G.; Somboro, A.M.; Khumalo, H.M.; Khan, R.B. The Molecular Effect of 1,4,7-triazacyclononane on Oxidative Stress Parameters in Human Hepatocellular Carcinoma (HepG2) Cells. J. Biochem. Mol. Toxicol. 2020, 34, e22607. [Google Scholar] [CrossRef] [PubMed]
  130. Singleton, D.A.; Pinchbeck, G.L.; Radford, A.D.; Arsevska, E.; Dawson, S.; Jones, P.H.; Noble, P.-J.M.; Williams, N.J.; Sánchez-Vizcaíno, F. Factors Associated with Prescription of Antimicrobial Drugs for Dogs and Cats, United Kingdom, 2014–2016. Emerg. Infect. Dis. 2020, 26, 1778–1791. [Google Scholar] [CrossRef]
  131. Robbins, S.N.; Goggs, R.; Lhermie, G.; Paul, D.F.L.; Menard, J. Antimicrobial Prescribing Practices in Small Animal Emergency and Critical Care. Front. Vet. Sci. 2020, 7, 110. [Google Scholar] [CrossRef]
  132. Lehner, C.; Hubbuch, A.; Schmitt, K.; Regula, G.S.; Willi, B.; Mevissen, M.; Peter, R.; Muentener, C.R.; Naegeli, H.; Schuller, S. Effect of Antimicrobial Stewardship on Antimicrobial Prescriptions for Selected Diseases of Dogs in Switzerland. J. Vet. Intern. Med. 2020, 34, 2418–2431. [Google Scholar] [CrossRef]
  133. Teoh, L.; Stewart, K.; Marino, R.J.; McCullough, M.J. Improvement of Dental Prescribing Practices Using Education and a Prescribing Tool: A Pilot Intervention Study. Br. J. Clin. Pharmacol. 2020, 4373. [Google Scholar] [CrossRef]
  134. Bansal, R.; Jain, A.; Goyal, M.; Singh, T.; Sood, H.; Malviya, H.S. Antibiotic Abuse during Endodontic Treatment: A Contributing Factor to Antibiotic Resistance. J. Fam. Med. Prim Care 2019, 8, 3518–3524. [Google Scholar] [CrossRef]
  135. Nadeem, S.F.; Gohar, U.F.; Tahir, S.F.; Mukhtar, H.; Pornpukdeewattana, S.; Nukthamna, P.; Moula Ali, A.M.; Bavisetty, S.C.B.; Massa, S. Antimicrobial Resistance: More than 70 Years of War between Humans and Bacteria. Crit. Rev. Microbiol. 2020, 46, 578–599. [Google Scholar] [CrossRef] [PubMed]
  136. Podolsky, S.H. The Evolving Response to Antibiotic Resistance (1945–2018). Palgrave Commun. 2018, 4, 124. [Google Scholar] [CrossRef]
  137. Choez, X.S.; Acurio, M.L.A.; Sotomayor, R.E.J. Appropriateness and Adequacy of Antibiotic Prescription for Upper Respiratory Tract Infections in Ambulatory Health Care Centers in Ecuador. BMC Pharmacol. Toxicol. 2018, 19, 46. [Google Scholar] [CrossRef] [Green Version]
  138. Brink, A.J.; van Wyk, J.; Moodley, V.M.; Corcoran, C.; Ekermans, P.; Nutt, L.; Boyles, T.; Perovic, O.; Feldman, C.; Richards, G.; et al. The Role of Appropriate Diagnostic Testing in Acute Respiratory Tract Infections: An Antibiotic Stewardship Strategy to Minimise Diagnostic Uncertainty in Primary Care. S. Afr. Med. J. 2016, 106, 554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  139. Teratani, Y.; Hagiya, H.; Koyama, T.; Adachi, M.; Ohshima, A.; Zamami, Y.; Tanaka, H.Y.; Tatebe, Y.; Tasaka, K.; Mikami, N.; et al. Pattern of Antibiotic Prescriptions for Outpatients with Acute Respiratory Tract Infections in Japan, 2013–15: A Retrospective Observational Study. Fam. Pract. 2019, 36, 402–409. [Google Scholar] [CrossRef]
  140. Stuart, B.; Brotherwood, H.; van’t Hoff, C.; Brown, A.; van den Bruel, A.; Hay, A.D.; Moore, M.; Little, P. Exploring the Appropriateness of Antibiotic Prescribing for Common Respiratory Tract Infections in UK Primary Care. J. Antimicrob. Chemother. 2019, 75, dkz410. [Google Scholar] [CrossRef]
  141. Pouwels, K.B.; Pebody, B.M.; Smieszek, T.; Hopkins, S.; Robotham, J.V. Selection and Co-Selection of Antibiotic Resistances among Escherichia Coli by Antibiotic Use in Primary Care: An Ecological Analysis. PLoS ONE 2019, 14, e0218134. [Google Scholar] [CrossRef] [Green Version]
  142. Shively, N.R.; Buehrle, D.J.; Clancy, C.J.; Decker, B.K. Prevalence of Inappropriate Antibiotic Prescribing in Primary Care Clinics within a Veterans Affairs Health Care System. Antimicrob. Agents Chemother. 2018, 62, e00337-18. [Google Scholar] [CrossRef] [Green Version]
  143. Roess, A.; Leibler, J.H.; Graham, J.P.; Lowenstein, C.; Waters, W.F. Animal Husbandry Practices and Perceptions of Zoonotic Infectious Disease Risks Among Livestock Keepers in a Rural Parish of Quito, Ecuador. Am. J. Trop. Med. Hyg. 2016, 95, 1450–1458. [Google Scholar] [CrossRef] [Green Version]
  144. Riddle, M.S.; Connor, B.A.; Beeching, N.J.; DuPont, H.L.; Hamer, D.H.; Kozarsky, P.; Libman, M.; Steffen, R.; Taylor, D.; Tribble, D.R.; et al. Guidelines for the Prevention and Treatment of Travelers’ Diarrhea: A Graded Expert Panel Report. J. Travel Med. 2017, 24, S63–S80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Giallourou, N.; Medlock, G.L.; Bolick, D.T.; Medeiros, P.H.; Ledwaba, S.E.; Kolling, G.L.; Tung, K.; Guerry, P.; Swann, J.R.; Guerrant, R.L. A Novel Mouse Model of Campylobacter Jejuni Enteropathy and Diarrhea. PLoS Pathog. 2018, 14, e1007083. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Vergalli, J.; Bodrenko, I.V.; Masi, M.; Moynié, L.; Gutiérrez, S.A.; Naismith, J.H.; Regli, A.D.; Ceccarelli, M.; van den Berg, B.; Winterhalter, M.; et al. Porins and Small-Molecule Translocation across the Outer Membrane of Gram-Negative Bacteria. Nat. Rev. Microbiol. 2020, 18, 164–176. [Google Scholar] [CrossRef] [PubMed]
  147. Arzanlou, M.; Chai, W.C.; Venter, H. Intrinsic, Adaptive and Acquired Antimicrobial Resistance in Gram-Negative Bacteria. Essays Biochem. 2017, 61, 49–59. [Google Scholar] [CrossRef] [PubMed]
  148. Dunn, S.J.; Connor, C.; McNally, A. The Evolution and Transmission of Multi-Drug Resistant Escherichia Coli and Klebsiella Pneumoniae: The Complexity of Clones and Plasmids. Curr. Opin. Microbiol. 2019, 51, 51–56. [Google Scholar] [CrossRef]
  149. Kayastha, K.; Dhungel, B.; Karki, S.; Adhikari, B.; Banjara, M.R.; Rijal, K.R.; Ghimire, P. Extended-Spectrum β-Lactamase-Producing Escherichia Coli and Klebsiella Species in Pediatric Patients Visiting International Friendship Children’s Hospital, Kathmandu, Nepal. Infect. Dis. (Auckl.) 2020, 13, 117863372090979. [Google Scholar] [CrossRef] [Green Version]
  150. Feria, C. Patterns and Mechanisms of Resistance to Beta-Lactams and Beta-Lactamase Inhibitors in Uropathogenic Escherichia Coli Isolated from Dogs in Portugal. J. Antimicrob. Chemother. 2002, 49, 77–85. [Google Scholar] [CrossRef] [Green Version]
  151. Liu, J.; Huang, Z.; Ruan, B.; Wang, H.; Chen, M.; Rehman, S.; Wu, P. Quantitative Proteomic Analysis Reveals the Mechanisms of Polymyxin B Toxicity to Escherichia Coli. Chemosphere 2020, 259, 127449. [Google Scholar] [CrossRef]
  152. Sharifzadeh, S.; Dempwolff, F.; Kearns, D.B.; Carlson, E.E. Harnessing β-Lactam Antibiotics for Illumination of the Activity of Penicillin-Binding Proteins in Bacillus Subtilis. ACS Chem. Biol. 2020, 15, 1242–1251. [Google Scholar] [CrossRef]
  153. Decuyper, L.; Jukič, M.; Sosič, I.; Žula, A.; D’hooghe, M.; Gobec, S. Antibacterial and β-Lactamase Inhibitory Activity of Monocyclic β-Lactams. Med. Res. Rev. 2018, 38, 426–503. [Google Scholar] [CrossRef]
  154. Hameed, A.S.H.; Louis, G.; Karthikeyan, C.; Thajuddin, N.; Ravi, G. Impact of L-Arginine and l-Histidine on the Structural, Optical and Antibacterial Properties of Mg Doped ZnO Nanoparticles Tested against Extended-Spectrum Beta-Lactamases (ESBLs) Producing Escherichia Coli. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2019, 211, 373–382. [Google Scholar] [CrossRef] [PubMed]
  155. Andersson, D.I.; Balaban, N.Q.; Baquero, F.; Courvalin, P.; Glaser, P.; Gophna, U.; Kishony, R.; Molin, S.; Tønjum, T. Antibiotic Resistance: Turning Evolutionary Principles into Clinical Reality. FEMS Microbiol. Rev. 2020, 44, 171–188. [Google Scholar] [CrossRef] [PubMed]
  156. Bush, K. Past and Present Perspectives on β-Lactamases. Antimicrob. Agents Chemother. 2018, 62, e01076-18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Silveira, M.C.; da Silva, R.A.; da Mota, F.F.; Catanho, M.; Jardim, R.; Guimarães, A.C.R.; de Miranda, A.B. Systematic Identification and Classification of β-Lactamases Based on Sequence Similarity Criteria: β-Lactamase Annotation. Evol. Bioinform. Online 2018, 14, 117693431879735. [Google Scholar] [CrossRef] [PubMed]
  158. Both, A.; Huang, J.; Kaase, M.; Hezel, J.; Wertheimer, D.; Fenner, I.; Günther, T.; Grundhoff, A.; Büttner, H.; Aepfelbacher, M.; et al. First Report of Escherichia Coli Co-Producing NDM-1 and OXA-232. Diagn. Microbiol. Infect. Dis. 2016, 86, 437–438. [Google Scholar] [CrossRef]
  159. Montso, K.P.; Dlamini, S.B.; Kumar, A.; Ateba, C.N. Antimicrobial Resistance Factors of Extended-Spectrum Beta-Lactamases Producing Escherichia Coli and Klebsiella Pneumoniae Isolated from Cattle Farms and Raw Beef in North-West Province, South Africa. BioMed Res. Int. 2019, 2019, 4318306. [Google Scholar] [CrossRef] [Green Version]
  160. Aguirre, L.; Vidal, A.; Seminati, C.; Tello, M.; Redondo, N.; Darwich, L.; Martín, M. Antimicrobial Resistance Profile and Prevalence of Extended-Spectrum Beta-Lactamases (ESBL), AmpC Beta-Lactamases and Colistin Resistance (Mcr) Genes in Escherichia Coli from Swine between 1999 and 2018. Porc. Health Manag. 2020, 6, 8. [Google Scholar] [CrossRef] [Green Version]
  161. Pormohammad, A.; Nasiri, M.J.; Azimi, T. Prevalence of Antibiotic Resistance in Escherichia Coli Strains Simultaneously Isolated from Humans, Animals, Food, and the Environment: A Systematic Review and Meta-Analysis. Infect. Drug Resist. 2019, 12, 1181–1197. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Proportional consumption of antibiotics by AWaRe categorization, % [93,96].
Figure 1. Proportional consumption of antibiotics by AWaRe categorization, % [93,96].
Antibiotics 10 00069 g001
Figure 2. Pooled prevalence of antibiotic resistance isolates in humans by disk diffusion method, % [161].
Figure 2. Pooled prevalence of antibiotic resistance isolates in humans by disk diffusion method, % [161].
Antibiotics 10 00069 g002
Figure 3. Pooled prevalence of antibiotic resistance isolates in pet animals by disk diffusion method, % [161].
Figure 3. Pooled prevalence of antibiotic resistance isolates in pet animals by disk diffusion method, % [161].
Antibiotics 10 00069 g003
Figure 4. Pooled prevalence of antibiotic resistance isolates in humans by minimum inhibitory concentration, % [161].
Figure 4. Pooled prevalence of antibiotic resistance isolates in humans by minimum inhibitory concentration, % [161].
Antibiotics 10 00069 g004
Figure 5. Pooled prevalence of antibiotic resistance isolates in pet animals by minimum inhibitory concentration, % [161].
Figure 5. Pooled prevalence of antibiotic resistance isolates in pet animals by minimum inhibitory concentration, % [161].
Antibiotics 10 00069 g005
Table 1. The consumption of total antibiotics in Defined Daily Doses, in DDD per 1000 inhabitants per day in countries of European region based on WHO database [93].
Table 1. The consumption of total antibiotics in Defined Daily Doses, in DDD per 1000 inhabitants per day in countries of European region based on WHO database [93].
CountryDDD/1000 Inhabitants
Per Day
CountryDDD/1000 Inhabitants
Per Day
Albania16.41Kosovo20.18
Armenia10.31Kyrgyzstan17.94
Austria12.17Latvia13.30
Azerbaijan7.66Lithuania15.83
Belarus17.48Luxemburg22.31
Belgium25.57Malta21.88
Bosnia and Herzegovina17.85Montenegro29.33
Bulgaria20.25Netherlands9.78
Croatia20.28Norway16.97
Cyprus27.14Poland24.30
Czech Republic17.18Portugal17.72
Denmark17.84North Macedonia13.42
Estonia12.13Romania28.50
Finland18.52Russia14.82
France25.92Serbia31.57
Georgia24.44Slovakia24.34
Germany11.49Slovenia13.48
Greece33.85Spain17.96
Hungary16.31Sweden13.73
Iceland17.87Tajikistan21.95
Ireland23.27Turkey38.18
Italy26.62United Kingdom20.47
Kazakhstan17.89Uzbekistan8.56
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Puvača, N.; de Llanos Frutos, R. Antimicrobial Resistance in Escherichia coli Strains Isolated from Humans and Pet Animals. Antibiotics 2021, 10, 69. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics10010069

AMA Style

Puvača N, de Llanos Frutos R. Antimicrobial Resistance in Escherichia coli Strains Isolated from Humans and Pet Animals. Antibiotics. 2021; 10(1):69. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics10010069

Chicago/Turabian Style

Puvača, Nikola, and Rosa de Llanos Frutos. 2021. "Antimicrobial Resistance in Escherichia coli Strains Isolated from Humans and Pet Animals" Antibiotics 10, no. 1: 69. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics10010069

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop