Microbial resistance: The role of efflux pump superfamilies and their respective substrates.

The microorganism resistance to antibiotics has become one of the most worrying issues for science due to the difficulties related to clinical treatment and the rapid spread of diseases. Efflux pumps are classified into six groups of carrier proteins that are part of the different types of mechanisms that contribute to resistance in microorganisms, allowing their survival. The present study aimed to carry out a bibliographic review on the superfamilies of carriers in order to understand their compositions, expressions, substrates, and role in intrinsic resistance. At first, a search for manuscripts was carried out in the databases Medline, Pubmed, ScienceDirect, and Scielo, using as descriptors: efflux pump, expression, pump inhibitors and efflux superfamily. For article selection, two criteria were taken into account: for inclusion, those published between 2000 and 2020, including textbooks, and for exclusion, duplicates and academic collections. In this research, 139,615 published articles were obtained, with 312 selected articles and 7 book chapters that best met the aim. From the comprehensive analysis, it was possible to consider that the chromosomes and genetic elements can contain genes encoding efflux pumps and are responsible for multidrug resistance. Even though this is a well-explored topic in the scientific community, understanding the behavior of antibiotics as substrates that increase the expression of pump-encoding genes has challenged medicine. This review study succinctly summarizes the most relevant features of these systems, as well as their contribution to multidrug resistance.

Reducing bacterial antibiotic resistance by targeting bacterial metabolic pathways and disrupting RND efflux pump activity / Reducir la resistencia a los antibióticos bacterianos al dirigirse a las vías metabólicas bacterianas e interrumpir la actividad de la bomba de salida de RND

Antibiotic resistance is a significant issue for the medical community, worldwide. Many bacteria develop drug resistance by utilizing multidrug resistant or MDR efflux pumps that can export antibiotics from bacterial cells. Antibiotics are expelled from bacteria by efflux pumps a part of the resistance nodulation division (RND) family. Types of RND efflux pumps include the AcrAB-TolC tripartite protein pump. There are an excessive number of antibiotic compounds that have been discovered; however, only a few antibiotics are effective against MDR bacteria. Many bacteria become drug resistant when sharing genes that encode MDR efflux pump expression. MDR efflux pump encoding genes are incorporated into plasmids and then shared among bacteria. As a consequence, advancements in genetic engineering can sufficiently target and edit pathogenic bacterial genomes for perturbing drug resistance mechanisms. In this perspective and review, support will be provided for utilizing genetic modifications as an antimicrobial approach and tool that may effectively combat bacterial MDR. Ayhan et al. found that deleting acrB, acrA, and tolC increased the levels of antibiotic sensitivity in Escherichia coli. Researchers also found that glucose, glutamate, and fructose all induced the absorption of antibiotics by upregulating the gene expression of maeA and maeB that is a part of the MAL-pyruvate pathway. Therefore, the current perspective and review will discuss the potential efficacy of reducing antibiotic resistance by inhibiting genes that encode efflux protein pump expression while simultaneously upregulating metabolic genes for increased antibiotic uptake (AU)

La resistencia a los antibióticos es un problema importante para la comunidad médica en todo el mundo. Muchas bacterias desarrollan resistencia a los fármacos mediante el uso de bombas de eflujo MDR o resistentes a múltiples fármacos que pueden exportar antibióticos de las células bacterianas. Los antibióticos se expulsan de las bacterias mediante bombas de eflujo que forman parte de la familia de la división de nodulación de resistencia (RND). Los tipos de bombas de eflujo RND incluyen la bomba de proteínas tripartita AcrAB-TolC. Hay un número excesivo de compuestos antibióticos que se han descubierto; sin embargo, solo unos pocos antibióticos son eficaces contra la bacteria MDR. Muchas bacterias se vuelven resistentes a los fármacos cuando comparten genes que codifican la expresión de la bomba de eflujo MDR. Los genes que codifican la bomba de eflujo MDR se incorporan a los plásmidos y luego se comparten entre las bacterias. Como consecuencia, los avances en la ingeniería genética pueden apuntar y editar suficientemente los genomas bacterianos patógenos para perturbar los mecanismos de resistencia a los medicamentos. En esta perspectiva y revisión, se brindará apoyo para utilizar modificaciones genéticas como un enfoque y una herramienta antimicrobianos que pueden combatir eficazmente la MDR bacteriana. Ayhan y col. encontraron que la eliminación de acrB, acrA y tolC aumentaba los niveles de sensibilidad a los antibióticos en Escherichia coli. Los investigadores también encontraron que la glucosa, el glutamato y la fructosa inducían la absorción de antibióticos al regular al alza la expresión génica de maeA y maeB que es parte de la vía MAL-piruvato. Por lo tanto, la perspectiva actual y la revisión discutirán la eficacia potencial de reducir la resistencia a los antibióticos al inhibir los genes que codifican la expresión de la bomba de proteínas de salida y, al mismo tiempo, regular al alza los genes metabólicos para una mayor absorción de antibióticos (AU)

'They eat it like sweets': A mixed methods study of antibiotic perceptions and their use among patients, prescribers and pharmacists in a district hospital in Kabul, Afghanistan.

BACKGROUND: Antibiotic resistance is a growing public health threat. In Afghanistan, high levels of indiscriminate antibiotic use exist, and healthcare programmes are not informed by understanding of local attitudes towards rational antibiotic use. Médecins Sans Frontières is an international non-governmental organization providing healthcare services to the Ahmad Shah Baba (ASB) District Hospital in Kabul, Afghanistan, since 2009. This mixed-methods study aimed to explore the perceptions and attitudes toward antibiotics among patients, prescribers, and pharmacists in the ASB District hospital outpatient department. METHODS AND FINDINGS: Knowledge of antibiotics including their purpose and function, how and why they are used, and drivers for choice of antibiotic was examined at patient, prescriber, and provider-level. The first phase of the study, an exploratory qualitative component using an interpretative approach, was used to inform the second phase, a structured survey. Thirty-six interviews were conducted with 39 participants (21 patients or caretakers and 18 hospital health workers). Three hundred and fifty-one (351) patients and caretakers completed the second phase, the structured survey. This study found that poor knowledge of antibiotics and antibiotic resistance is a driving factor for inappropriate use of antibiotics. Participant perceptions of living in a polluted environment drove the high demand and perceived 'need' for antibiotics: patients, doctors and pharmacists alike consider dirty and dusty living conditions as causes of 'disease' in the body, requiring antibiotics to 'clean' and 'strengthen' it. CONCLUSIONS: Findings highlight the need for strategies to improve awareness and knowledge of the general public, improve practice of doctors and pharmacists, regulate antibiotic dispensing in private pharmacies, and implement antibiotic stewardship in hospitals.

Microbiome-pathogen interactions drive epidemiological dynamics of antibiotic resistance: A modeling study applied to nosocomial pathogen control.

The human microbiome can protect against colonization with pathogenic antibiotic-resistant bacteria (ARB), but its impacts on the spread of antibiotic resistance are poorly understood. We propose a mathematical modeling framework for ARB epidemiology formalizing within-host ARB-microbiome competition, and impacts of antibiotic consumption on microbiome function. Applied to the healthcare setting, we demonstrate a trade-off whereby antibiotics simultaneously clear bacterial pathogens and increase host susceptibility to their colonization, and compare this framework with a traditional strain-based approach. At the population level, microbiome interactions drive ARB incidence, but not resistance rates, reflecting distinct epidemiological relevance of different forces of competition. Simulating a range of public health interventions (contact precautions, antibiotic stewardship, microbiome recovery therapy) and pathogens (Clostridioides difficile, methicillin-resistant Staphylococcus aureus, multidrug-resistant Enterobacteriaceae) highlights how species-specific within-host ecological interactions drive intervention efficacy. We find limited impact of contact precautions for Enterobacteriaceae prevention, and a promising role for microbiome-targeted interventions to limit ARB spread.

Effects of different salinity on the transcriptome and antibiotic resistance of two Vibrio parahaemolyticus strains isolated from Penaeus vannamei cultured in seawater and freshwater ponds.

The transcriptome and antibiotic resistance of Vibrio parahaemolyticus isolated from Penaeus vannamei cultured in seawater (strain HN1)and freshwater (strain SH1) ponds were studied at different salinity (2‰ and 20‰). At different salinity, 623 differentially expressed genes (DEGs) significantly upregulated and 1,559 DEGs significantly downregulated in SH1. In HN1, 466 DEGs significantly upregulated and 1,930 DEGs significantly downregulated, indicating high salinity can lead to the downregulation of most genes. In KEGG analysis, the expression of DEGs annotated to starch and sucrose metabolism pathway was higher at 2‰ salinity than at 20‰ salinity in HN1 and SH1, implying salinity affected bacterial growth mainly through this pathway. In the enrichment analysis of upregulated DEGs, two pathways (Valine, leucine, and isoleucine degradation, and Butanoate metabolism) were significantly enriched at different salinity. Antibiotic-susceptibility test discovered that SH1 isolated from P. vannamei cultured in freshwater was resistant to multiple drugs, including kanamycin, gentamicin, medemycin, and azithromycin, at a salinity of 2‰, whereas at 20‰ salinity, SH1 was not resistant to the drugs. The HN1 strain isolated from P. vannamei cultured in mariculture was resistant to polymyxin B and clindamycin at 20‰ salinity. Whereas, HN1 was intermediately susceptible to these two antibiotics at 2‰ salinity. These results indicate that the drug resistance of bacteria was affected by salinity. Furthermore, beta-lactam resistance was significantly enriched in SH1 at different salinity, and the inhibition zone of penicillin G was consistent with the results of a beta-lactam resistance pathway.

Emerging Phage Resistance in Pseudomonas aeruginosa PAO1 Is Accompanied by an Enhanced Heterogeneity and Reduced Virulence.

Bacterial surface structures of a proteinic nature and glycoconjugates contribute to biofilm formation and provide shields to host defense mechanisms (e.g., the complement system and phagocytosis). A loss or alteration of these molecules, leading to phage resistance, could result in fewer virulent bacteria. In this study, we evaluate the biology and phenotype changes in Pseudomonas aeruginosa PAO1 phage-resistant clones, which emerge in phage-treated biofilms. We characterize these clones for phage-typing patterns, antibiotic resistance, biofilm formation, pathogenicity, and interactions with the innate immune system. Another important question that we address is whether phage-resistant mutants are also generated incidentally, despite the phage treatment-selective pressure, as the natural adaptation of the living biofilm population. It is found that the application of different phages targeting a particular receptor selects similar phage resistance patterns. Nevertheless, this results in a dramatic increase in the population heterogeneity, giving over a dozen phage-typing patterns, compared to one of the untreated PAO1 sessile forms. We also confirm the hypothesis that "phage-resistant bacteria are more susceptible to antibiotics and host-clearance mechanisms by the immune system". These findings support phage application in therapy, although the overall statement that phage treatment selects the less virulent bacterial population should be further verified using a bigger collection of clinical strains.

Identification of pathogens isolated in acute external otitis cases and evaluation of aminoglycoside and quinolone sensitivity.

OBJECTIVE: This study aimed to identify pathogens isolated in acute external otitis cases and determine their distribution according to ages and seasons as well as investigate the susceptibility or resistance to the aminoglycoside and quinolone group antibiotics of which topical forms are available. METHOD: A total of 168 patients diagnosed with acute external otitis were evaluated retrospectively. Growing bacteria were identified according to the species by conventional methods. Antibiotic susceptibility status was determined for the growing bacteria. RESULTS: The most common bacteria detected were pseudomonas group bacteria (38.7 per cent). Resistance to the amikacin group of antibiotics was found to be the lowest and resistance to the ciprofloxacin group of antibiotics was the highest. CONCLUSION: External auditory canal cultures should be taken simultaneously with empirical treatment. Seasonal effect and age group should be taken into consideration in the choice of treatment and after questioning about chronic exposure to water. Empirical treatment should then be started.

Shooting yourself in the foot: How immune cells induce antibiotic tolerance in microbial pathogens.

Antibiotic treatment failure of infection is common and frequently occurs in the absence of genetically encoded antibiotic resistance mechanisms. In such scenarios, the ability of bacteria to enter a phenotypic state that renders them tolerant to the killing activity of multiple antibiotic classes is thought to contribute to antibiotic failure. Phagocytic cells, which specialize in engulfing and destroying invading pathogens, may paradoxically contribute to antibiotic tolerance and treatment failure. Macrophages act as reservoirs for some pathogens and impede penetration of certain classes of antibiotics. In addition, increasing evidence suggests that subpopulations of bacteria can survive inside these cells and are coerced into an antibiotic-tolerant state by host cell activity. Uncovering the mechanisms that drive immune-mediated antibiotic tolerance may present novel strategies to improving antibiotic therapy.

Ribosome Protection Proteins-"New" Players in the Global Arms Race with Antibiotic-Resistant Pathogens.

Bacteria have evolved an array of mechanisms enabling them to resist the inhibitory effect of antibiotics, a significant proportion of which target the ribosome. Indeed, resistance mechanisms have been identified for nearly every antibiotic that is currently used in clinical practice. With the ever-increasing list of multi-drug-resistant pathogens and very few novel antibiotics in the pharmaceutical pipeline, treatable infections are likely to become life-threatening once again. Most of the prevalent resistance mechanisms are well understood and their clinical significance is recognized. In contrast, ribosome protection protein-mediated resistance has flown under the radar for a long time and has been considered a minor factor in the clinical setting. Not until the recent discovery of the ATP-binding cassette family F protein-mediated resistance in an extensive list of human pathogens has the significance of ribosome protection proteins been truly appreciated. Understanding the underlying resistance mechanism has the potential to guide the development of novel therapeutic approaches to evade or overcome the resistance. In this review, we discuss the latest developments regarding ribosome protection proteins focusing on the current antimicrobial arsenal and pharmaceutical pipeline as well as potential implications for the future of fighting bacterial infections in the time of "superbugs."

Roles of Multidrug Resistance Protein 4 in Microbial Infections and Inflammatory Diseases.

Numerous studies have reported the emergence of antimicrobial resistance during the treatment of common infections. Multidrug resistance (MDR) leads to failure of antimicrobial treatment, prolonged illness, and increased morbidity and mortality. Overexpression of multidrug resistance proteins (MRPs) as drug efflux pumps are one of the main contributions of MDR, especially multidrug resistance protein 4 (MRP4/ABCC4) in the development of antimicrobial resistance. The molecular mechanism of antimicrobial resistance is still under investigation. Various intervention strategies have been developed for overcoming MDR, but the effect is limited. Suppression of MRP4 may be an attractive therapeutic approach for addressing drug resistance. However, there are few reports on the involvement of MRP4 in antimicrobial resistance and inflammatory diseases. In this review, we introduced the function and regulation of MRP4, and then summarized the roles of MRP4 in microbial infections and inflammatory diseases as well as polymorphisms in the gene encoding this transporter. Further studies should be conducted on drug therapy targeting MRP4 to improve the efficacy of antimicrobial therapy. This review can provide useful information on MRP4 for overcoming antimicrobial resistance and anti-inflammatory therapy.

Worldwide Clinical Demand for Antibiotics: Is It a Real Countdown?

Antibiotics are antimicrobial agents primarily produced by certain bacteria and fungi. These drugs are some of the biological weapons used by the producers to survive in their dense and multispecies communities where the resources could be scarce. Thus, the microorganisms, as antibiotic producers, also have the skills to avoid the antibiotic affect from immemorial time. However, the antibiotic resistance is a current global health threat because of the overuse, abuse, or use of antibiotics. Nowadays, resistance to all the antibiotic classes has emerged, which results in 700,000 annual deaths due to the drug-resistant diseases, and forecasts are dramatic for the coming years. This chapter reviews the evolution of the antibiotics discovery, the worldwide antibiotics resistances threat, their economical and clinical impact, as well as how the academia and the enterprises are facing the need of new antibiotics discovery or antimicrobial therapies implementation.

Trends in antimicrobial resistance amongst pathogens isolated from blood and cerebrospinal fluid cultures in Pakistan (2011-2015): A retrospective cross-sectional study.

While antimicrobial resistance (AMR) continues to be a major public health problem in Pakistan, data regarding trends of resistance among pathogenic bacteria remains scarce, with few studies presenting long-term trends in AMR. This study was therefore designed to analyze long-term AMR trends at a national level in Pakistan. We report here results of a comprehensive analysis of resistance, among pathogens isolated from blood and cerebrospinal fluid (CSF), between 2011 and 2015. Susceptibility data was obtained from a local laboratory with collection points all across Pakistan (Chughtai Laboratory). Resistance proportions to most commonly used antimicrobials were calculated for each pathogen over a period of five years. While Acinetobacter species demonstrated highest resistance rates to all tested antimicrobials, a sharp increase in carbapenem resistance was the most noticeable (50%-95%) between 2011-2015. Our results also highlight the presence of third and fourth generation cephalosporins resistance in Salmonella enterica serovar Typhi in Pakistan. Interestingly, where rise in AMR was being observed in some major invasive pathogens, decreasing resistance trends were observed in Staphylococcus aureus, against commonly used antimicrobials. Overall pathogens isolated from blood and CSF between 2011-2015, showed an increase in resistance towards commonly used antimicrobials.

Bacteria primed by antimicrobial peptides develop tolerance and persist.

Antimicrobial peptides (AMPs) are key components of innate immune defenses. Because of the antibiotic crisis, AMPs have also come into focus as new drugs. Here, we explore whether prior exposure to sub-lethal doses of AMPs increases bacterial survival and abets the evolution of resistance. We show that Escherichia coli primed by sub-lethal doses of AMPs develop tolerance and increase persistence by producing curli or colanic acid, responses linked to biofilm formation. We develop a population dynamic model that predicts that priming delays the clearance of infections and fuels the evolution of resistance. The effects we describe should apply to many AMPs and other drugs that target the cell surface. The optimal strategy to tackle tolerant or persistent cells requires high concentrations of AMPs and fast and long-lasting expression. Our findings also offer a new understanding of non-inherited drug resistance as an adaptive response and could lead to measures that slow the evolution of resistance.

Model-Informed Drug Development for Anti-Infectives: State of the Art and Future.

Model-informed drug development (MIDD) has a long and rich history in infectious diseases. This review describes foundational principles of translational anti-infective pharmacology, including choice of appropriate measures of exposure and pharmacodynamic (PD) measures, patient subpopulations, and drug-drug interactions. Examples are presented for state-of-the-art, empiric, mechanistic, interdisciplinary, and real-world evidence MIDD applications in the development of antibacterials (review of minimum inhibitory concentration-based models, mechanism-based pharmacokinetic/PD (PK/PD) models, PK/PD models of resistance, and immune response), antifungals, antivirals, drugs for the treatment of global health infectious diseases, and medical countermeasures. The degree of adoption of MIDD practices across the infectious diseases field is also summarized. The future application of MIDD in infectious diseases will progress along two planes; "depth" and "breadth" of MIDD methods. "MIDD depth" refers to deeper incorporation of the specific pathogen biology and intrinsic and acquired-resistance mechanisms; host factors, such as immunologic response and infection site, to enable deeper interrogation of pharmacological impact on pathogen clearance; clinical outcome and emergence of resistance from a pathogen; and patient and population perspective. In particular, improved early assessment of the emergence of resistance potential will become a greater focus in MIDD, as this is poorly mitigated by current development approaches. "MIDD breadth" refers to greater adoption of model-centered approaches to anti-infective development. Specifically, this means how various MIDD approaches and translational tools can be integrated or connected in a systematic way that supports decision making by key stakeholders (sponsors, regulators, and payers) across the entire development pathway.

Pivotal Role of Translation in Anti-Infective Development.

The value of model-based translation in drug discovery and development is now effectively being recognized in many disease areas and among various stakeholders. Such quantitative approaches are expected to facilitate the selection on which compound to prioritize for successful development, predict the human efficacious dose based on preclinical data with adequate precision, guide design, and de-risk later development stages. The importance of time-dependencies, which are typically species-dependent due to different turnover rates of biological processes, is, however, often neglected. For bacterial infections, the choice of dosing regimen is typically relying on preclinical pharmacokinetic (PK) and pharmacodynamic (PD) data, because the bacterial load and disease severity, and consequently the PK/PD relationship, cannot be quantified well on clinical data, given the low-information end points used. It is time to recognize the limitations of using time-collapsed approaches for translation (i.e., methods where targets are based on summary measures of exposure and response). Models describing the full time-course captures important quantitative information of drug distribution, bacterial growth, antibiotic killing, and resistance development, and can account for species-differences in the PK profiles driving the killing. Furthermore, with a model-based approach for translation, we can take a holistic approach in development of a joint model for in vitro, in vivo, and clinical data, as well as incorporating information on the contribution of the immune system. Such advancements are anticipated to facilitate rational decision making during various stages of drug development and in the optimization of treatment regimens for different groups of patients.

Location of OprD porin in Pseudomonas aeruginosa clinical isolates.

Multidrug-resistant Pseudomonas aeruginosa is one of the main opportunistic pathogens causing severe infection. One of the mechanisms involved in the resistance to imipenem in clinical isolates is the loss of the OprD porin. Changes like substitutions, deletions, insertions, or mutations in the oprD gene can modify the conformation of OprD porin or inhibit its presence and generate resistance to carbapenems. The aim of this work was to obtain anti-OprD polyclonal antibodies and to determine by both immunofluorescence microscopy (IFI) and Western blot assays, the presence of the OprD porin in resistant-carbapenem P. aeruginosa strains with different changes in the oprD gene. Changes in the gene oprD were identified in clinical isolates of P. aeruginosa. When proteins were translated, several polymorphisms were found; however, these did not affect the presence of OprD porin (PCM25, PCM36, and PCM78). Also it was detected an insertion sequence ISPa1328 (PCM52) and a premature stop codon (PCM91), which inhibited the presence of the OprD porin. This study shows how changes in the oprD gene of P. aeruginosa clinical isolates affect the presence of the OprD porin detected by Western blot and indirect immunofluorescence assays using specific polyclonal anti-OprD antibodies generated in this work.

What are the origins of growing microbial resistance? Both Lamarck and Darwin were right.

INTRODUCTION: Microorganisms of clinical importance frequently develop resistance to drug therapy, now a growing problem. The experience with Mycobacterium tuberculosis is a representative example of increasing multi-drug resistance. To avoid reaching a crisis in which patients could be left without adequate treatment, a new strategy is needed. Anti-microbial therapy has historically targeted the mechanisms rather than origin of drug resistance, thus allowing microorganisms to adapt and survive. AREAS COVERED: This contribution analyses the historical development (1943-2020) of the evolution of multi-drug resistance by M. tuberculosis strains in light of Darwin's and Lamarck's theories of evolution. EXPERT OPINION: Regarding the molecular origin of microbial drug resistance, genetic mutations and epigenetic modifications are known to participate. The analysis of the history of drug resistance by M. tuberculosis evidences a gradual development of resistance to some antibiotics, undoubtedly due to random mutations together with natural selection based on environmental pressures (e.g., antibiotics), representing Darwin's idea. More rapid adaptation of M. tuberculosis to new antibiotic treatments has also occurred, probably because of heritable acquired characteristics, evidencing Lamarck's proposal. Therefore, microbial infections should be treated with an antibiotic producing null or low mutagenic activity along with a resistance inhibitor, preferably in a single medication.

The role of "spillover" in antibiotic resistance.

Antibiotic use is a key driver of antibiotic resistance. Understanding the quantitative association between antibiotic use and resulting resistance is important for predicting future rates of antibiotic resistance and for designing antibiotic stewardship policy. However, the use-resistance association is complicated by "spillover," in which one population's level of antibiotic use affects another population's level of resistance via the transmission of bacteria between those populations. Spillover is known to have effects at the level of families and hospitals, but it is unclear if spillover is relevant at larger scales. We used mathematical modeling and analysis of observational data to address this question. First, we used dynamical models of antibiotic resistance to predict the effects of spillover. Whereas populations completely isolated from one another do not experience any spillover, we found that if even 1% of interactions are between populations, then spillover may have large consequences: The effect of a change in antibiotic use in one population on antibiotic resistance in that population could be reduced by as much as 50%. Then, we quantified spillover in observational antibiotic use and resistance data from US states and European countries for three pathogen-antibiotic combinations, finding that increased interactions between populations were associated with smaller differences in antibiotic resistance between those populations. Thus, spillover may have an important impact at the level of states and countries, which has ramifications for predicting the future of antibiotic resistance, designing antibiotic resistance stewardship policy, and interpreting stewardship interventions.