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Review

The Concept of an Ideal Antibiotic: Implications for Drug Design

by
Márió Gajdács
Department of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, 6720 Szeged, Hungary
Molecules 2019, 24(5), 892; https://0-doi-org.brum.beds.ac.uk/10.3390/molecules24050892
Submission received: 5 February 2019 / Revised: 21 February 2019 / Accepted: 27 February 2019 / Published: 3 March 2019
(This article belongs to the Special Issue Chemical Biology of Antimicrobial Resistance)
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Abstract

:
The emergence and spread of antibiotic-resistant pathogens is a major public health issue, which requires global action of an intersectoral nature. Multidrug-resistant (MDR) pathogens—especially “ESKAPE” bacteria—can withstand lethal doses of antibiotics with various chemical structures and mechanisms of action. Pharmaceutical companies are increasingly turning away from participating in the development of new antibiotics, due to the regulatory environment and the financial risks. There is an urgent need for innovation in antibiotic research, as classical discovery platforms (e.g., mining soil Streptomycetes) are no longer viable options. In addition to discovery platforms, a concept of an ideal antibiotic should be postulated, to act as a blueprint for future drugs, and to aid researchers, pharmaceutical companies, and relevant stakeholders in selecting lead compounds. Based on 150 references, the aim of this review is to summarize current advances regarding the challenges of antibiotic drug discovery and the specific attributes of an ideal antibacterial drug (a prodrug or generally reactive compound with no specific target, broad-spectrum antibacterial activity, adequate penetration through the Gram-negative cell wall, activity in biofilms and in hard-to-treat infections, accumulation in macrophages, availability for oral administration, and for use in sensitive patient groups).

1. Introduction

The discovery and clinical use of antibiotics may be considered to be one the greatest achievements in the history of medicine [1]. The emergence and spread of antibiotic-resistant pathogens is a major public health issue, which requires global action of an intersectoral nature, involving patients and healthcare professionals (prudent use and prescribing [2,3,4,5]), researchers and pharmaceutical companies (development of novel drug candidates, clinical trials [6]) and relevant government stakeholders (government action, financial support [7]) alike. A wide arsenal of bacterial resistance mechanisms has been described, aiding pathogens in evading the lethal effects of these drugs, the most important mechanisms being enzymatic degradation (e.g., β-lactamases, aminoglycoside-degrading enzymes), target alteration (e.g., penicillin-binding proteins, bacterial topoisomerases), decreased uptake (porin-deficient mutants) and overexpression of efflux pump proteins (e.g., AcrAB-TolC in Enterobacteriaceae) [8,9]. Multidrug resistant (MDR) bacteria can withstand potentially lethal doses of antibiotics with various chemical structures and mechanisms of action [10,11]. The European Society for Clinical Microbiology and Infectious Diseases (ESCMID) conceived a practical definition for multidrug resistance, where a pathogen is classified as MDR, if they show resistance against three or more antibiotic classes in vitro [12,13]. Major public health authorities, such as the World Health Organization (WHO), the European Center for Disease Prevention and Control (ECDC), and the Centers for Disease Control and Prevention in the US (CDC) have all published reports on the significance and the attributable extra mortality that is associated with MDR pathogens [14,15,16,17]. All of these reports concluded that antibiotic resistance is a global issue that may become the major cause of mortality by 2050 [14]. From the standpoint of antimicrobial research, the so-called “ESKAPE” pathogens (E: Enterococcus faecium, S: Staphylococcus aureus or recently Stenotrophomonas maltophilia, K: Klebsiella pneumoniae or recently C: Clostridioides difficile, A: Acinetobacter baumannii, P: Pseudomonas aeruginosa, E: Enterobacter spp., or recently Enterobacteriaceae) receive the most attention, when it comes to identification and screening of novel compounds [18,19,20,21]. This acronym (which was originally coined by the Infectious Diseases Society of America; IDSA) lists MDR bacteria that are of particular concern for healthcare [22]. In addition, extensively drug-resistant (XDR) and pandrug resistant (PDR) strains of Gram-negative bacteria (predominantly A. baumannii and K. pneumoniae) leave physicians with very few options that are left for treating their patients [23,24].
In the 21st century, it is becoming obvious that the pace of antibiotic drug discovery cannot keep up with the continuous and detrimental changes in resistance trends [25]. In the “golden age” of antibiotic discovery (1960–1980), there were similar developments in bacterial resistance; however, the emergence of novel antibiotic drugs (most of the antibiotic classes currently available were established by the end of the 1980s) or structurally-modified active derivatives of old drugs were potent enough to tip the scales in our favor [26]. This resulted in a shift in interest towards the treatment of chronic illnesses by pharmaceutical companies and governments, and consequently, the development of new antibacterial drugs has markedly slowed down [27,28]. However, since the introduction of fluoroquinolones (which were developed in an attempt to optimize nalidixic acid) in the 1960s, no broad-spectrum agents have been discovered: linezolid and daptomycin are only relevant for the treatment of life-threatening Gram-positive infections, while polymixins (cyclic polypeptides with pronounced toxicity, that were unattractive drugs at the time of their discovery) were re-introduced to therapy, due to the increasing prevalence of MDR Gram-negative infections [29,30,31,32,33]. Ceftaroline–avibactam (a combination of the anti-MRSA cephalosporin and a novel non-β-lactam β-lactamase inhibitor) is the first new drug formulation in a long time that may possess clinically relevant broad-spectrum antibacterial activity [34,35].
Pharmaceutical companies are increasingly turning away from participating in the development of new antibiotics, with large firms like Novartis, AstraZeneca, Sanofi, Bristol-Myers Squibb, and Allergan dropping their antimicrobial research programmes. There are several economic considerations that may explain this phenomenon [36]. The costs of research and development (R&D) and the organization of clinical trials carries a big financial risk irrespective of the drug candidate, and antibacterial drugs only offer modest returns in investments compared to other classes of drugs (e.g., antihypertensive drugs, cholesterol-lowering medications) [37,38]. Novel antimicrobials are typically only used as last-resort agents in critically ill patients, and the duration of therapy is usually limited. In addition, the rapid development of resistance against the new drugs additionally reduces their time period of clinical usefulness [39]. Although there are initiatives and public–private partnerships, such as the 10 × 20 Initiative of the US Food and Drug Administration (FDA; aiming to produce 10 new systemic antibiotics by the year 2020) and the New Drugs 4 Bad Bugs (ND4BB) programme from the Innovative Medicine Initiative (IMI) of the European Medicines Agency (EMA), antibiotic development is largely in the hands of smaller startup biotechnology companies with specific interest in an antibiotic class or infectious disease [40,41,42]. If the number of novel antibiotic classes in the last 50 years is any indication, there is a very low probability for a biologically active compounds to succeed from the pre-clinical to clinical phase of drug discovery. For this reason, reliable discovery platforms are needed to continuously produce compounds with antibacterial activity that may be lead compounds for further studies [43,44]. In Table 1, the currently defined antibiotic discovery platforms are summarized.
The Waksman-platform has dominated the field of antibiotic discovery for almost 40 years, but after overmining soil bacteria, and the continuous re-discovery of already known compounds, this platform was abandoned by pharmaceutical companies [45,51]. There were high hopes for the introduction of high-throughput screening (HTS) methods and rational drug design (RDD) in antibacterial discovery. HTS includes the isolation of bacterial proteins that are essential for survival, and during an automated process, many compounds can be screened for their binding affinity. RDD involves the analysis of the 3D-structure of the target proteins or protein–ligand interactions and developing compounds to interact with specific protein sites [38,58]. Nevertheless, the use of these methods did not meet expectations, as there are hardly any drugs in current clinical use that are the products of this platform, mainly because most of the promising lead compounds identified through HTS were unable to penetrate the bacterial cell wall (particularly in Gram-negative bacteria) and actually bind their defined targets [38,58]. Emerging approaches such as the development of efflux pump inhibitors (EPIs) and virulence-modulating compounds offer new hope in the treatment of infectious diseases. These novel compounds act through sensitizing drug-resistant strains to conventional antibiotics (by modulation of the activity of overexpressed transport proteins) or through eliminating bacterial virulence factors that are crucial for causing disease in humans [64,66,67]. The issue of bacterial cell-wall penetration may also be bypassed by the use of bacteriophage-derived enzymes [70]. These enzymes, termed endolysins (and their recombinant/engineered alternatives, called artilysins) are in essence, peptidoglycan–hydrolases that disrupt the bacterial cell wall, leading to cell death [71,72]. They have an important role in the life cycle of bacteriophages, ensuring the release of progeny virions from the bacterial host cells [73]. This novel approach is promising, owing to their high degree of host specificity; in addition, they could be used as monotherapy or in combination with already existing antibiotics [70,73]. Still, these compounds are currently relevant only in experimental settings, as none of these have been cleared for clinical use. For further reading on antimicrobial discovery platforms mentioned above (Table 1.), the reader is encouraged to view the excellent publications of Kim and Kealey et al. [38,45,46].
In addition to discovery platforms, a concept of an ideal antibiotic should be postulated, to act as a blueprint for future drugs [74]. The intent of this model is to direct antibacterial discovery and drug design, and to aid researchers, pharmaceutical companies, and relevant stakeholders in selecting promising lead compounds, moving forward in the “maze” of this field. Based on the properties that are set for this theoretical molecule, screening methods may also need to be adjusted and optimized [55]. The aim of this review is to discuss the current advances regarding the attributes of an ideal antibacterial drug.

2. The Ideal Antibiotic (Prodrug) Model

The ideal antibiotic should have broad-spectrum bactericidal activity (although the clinical relevance in the difference between bacteriostatic and bactericidal drugs has been questioned by multiple studies [75,76,77]), against bacteria with Gram-positive and Gram-negative cell walls, Mycoplasma/Ureaplasma ssp. (bacteria with no cell wall [78]) and L-form (cell wall-deficient [79,80,81]) bacteria. Persisters (defined as metabolically inactive bacterial cells that neither grow or die when exposed to bactericidal concentrations of antibiotics) present another important challenge to antimicrobial therapy that has yet to be approached from the standpoint of drug discovery [82]. These dormant cells usually represent a very minor fraction of the population in the exponential growth phase; however, they may represent up to 1% of cells in the stationary phase, during long-term antibiotic therapy and in a biofilm [83]. Therefore, they have been associated with therapeutic failure, recurrence, and chronic infections, as they may continue to replicate after the antibiotic therapy has been discontinued [84]. The production of biofilms is considered a survival strategy to adapt to a hostile living environment. Infections associated with biofilms are an increasingly important issue, especially due to the prevalence of nosocomial infections and the use of indwelling catheters and prostheses [85,86]. The production of biofilms in cystic fibrosis patients is an additional concern, because antibiotics cannot successfully penetrate to affect the planktonic phase of growth in these cells, contributing to the morbidity and mortality of the disease [87]. Some antibiotics (such as rifampin) can penetrate and break up this extracellular polymeric matrix produced by bacteria, which is why they are usually used in combination with other drugs to enhance their efficacy [85,88,89].
The penetration barrier of Gram-negative cell wall is an important obstacle for antimicrobial development [90]. The outer membrane (OM) of Gram-negatives restricts amphipathic drugs from crossing through, while the inner membrane (IM) restricts hydrophilic substances from entering the cell. This essentially creates a very potent barrier, which allows for the penetration of only a select number of antimicrobials [91]. Therefore, penetration rules may also be established, similarly to rules of oral bioavailability (e.g., the Rule of Five, see below). Based on the library of compounds with good penetration through the Gram-negative cell wall, common physico-chemical characteristics could be identified [92]. Small, hydrophobic compounds (such as aminoglycosides and chloramphenicol) can diffuse through the lipid component of the OM, while β-lactam antibiotics predominantly move through porin channels to reach their targets in the periplasmic space [93,94]. The latter carries a risk of resistance development, because porin mutants (prevalent in Pseudomonas aeruginosa) usually lose their susceptibilities to these drugs [95,96]. The over-expression of efflux pumps (which is a concern in MDR Gram-negative bacteria) is also a significant mechanism of resistance [97,98]. These transport proteins, due to their wide substrate specificity, can extrude various noxious agents (toxins, bile salts, antiseptics and antibiotics), although their preference towards amphipathic drugs have been described [64,99]. The use of EPIs present as adjuvants is an attractive strategy; still, a compound that is not affected by these pumps would be the most advantageous.
This ideal molecule should be highly reactive, forming an irreversible, covalent bond on multiple, unrelated targets, leading to bacterial cell death [38]. This is important for two reasons: firstly, covalent binding guarantees that the molecule will accumulate inside the bacterial cell and will not be extruded by energy-(ATP-dependent cassette-transporters) or H+/Na+-gradient-dependent efflux transporters (e.g., major facilitator superfamily transporters); secondly, reacting with multiple targets ensures that drug resistance may not develop through single-step mutations (e.g., quinolone resistance) and target modification (e.g., macrolide-lincosamide-streptogramin [MLS] resistance) [64,100]. An emerging concept is that the molecule should function as a prodrug (or be formulated as such), which has little or no effect on mammalian cells, but that will kill all bacterial cells, including persisters. To attain this, the prodrug molecule should be activated by an enzyme that is specific to and abundant in pathogenic bacteria, resulting in an end-product that is extremely reactive. This is the reason for why the concept of an ideal antibacterial drug is also called the prodrug model [38].
In addition to the interactions of the molecule with the target microorganisms during therapy, these compounds must meet a set of pre-determined set of physico-chemical characteristics that a lead compounds should possess in order to become a drug candidate [101]. Based on data from the United States, more than 80% of drugs in current use are orally administered; therefore this route should be primarily targeted [102,103]. This is especially true for the treatment of infectious diseases, where intravenous (IV) administration should only be used, if it is justified by the medical condition of the patient. By definition, antibiotics with >90% bioavailability (doxycycline, minocycline, clindamycin, metronidazole, trimethoprim-sulfamethoxazole, linezolid, tedizolid, and rifampin) are candidates for IV-to-PO interchange (exceptions are ciprofloxacin (~70% bioavailability) and azithromycin (~40% bioavailability), as they still manage to achieve the therapeutic levels taken orally) [104]. Such IV-to-PO switches (i.e., sequential antibiotic therapy) are further encouraged in the era of antimicrobial stewardship. In order to attain good oral bioavailability, Lipinsky’s Rule of Five (RO5) is generally used as a preliminary indicator of drug-likeness during pre-clinical studies [105]. These rules (a. ≤ 5 hydrogen bond donors, b. ≤ 5 hydrogen bond acceptors, c. molecular mass <500 Da, d. octanol-water partition coefficient (clogP) < 5) assumed that the most commercially successful, orally administered molecules are relatively small and moderately lipophilic [106,107]. However, this may create a very narrow window of compounds that are eligible to penetrate Gram-negatives and that are orally bioavailable. In addition, screening based on these rules may exclude potential leads, because they do not consider the differential properties required to penetrate prokaryotes [88]. To further ease the formulation of oral drugs, the compound should be a Class I molecule in the Biopharmaceutical Classification System (BCS) [108].
Tissue penetration of the molecule should be adequate to attain therapeutic concentrations in all parts of the body, including peripheral areas, and in infected sites that are hard-to-reach and that have specific physico-chemical characteristics (e.g., abscesses, central nervous system, bone tissue) [109,110]. Additionally, the accumulation of antimicrobial drugs in macrophages and non-professional phagocytes (i.e., in the phagolysosome of these cells) are also relevant in the elimination of obligate (Chlamydia spp., Rickettsia spp., Coxiella spp., Mycobacterium tuberculosis and leprae) and facultative (Listeria monocytogenes, Legionella pneumophila, Brucella abortus, Bartonella henselae, Francisella tularensis, Salmonella enterica, and other Mycobacterium species) intracellular bacteria [111,112,113]. A few antibiotic groups (e.g., macrolides) are known for their effective intracellular accumulation, and some new agents that are receiving marketing authorization (such as delafloxacin) also possess this attribute [114,115,116,117].
Compared to other drugs, antibiotics are effective in concentrations that are two to four magnitudes higher than other molecules affecting distinct molecular targets in the human body [104]. This carries a risk of inherent toxicity, excluding most of the potential compounds from being potential leads. Therefore, it is imperative that the abovementioned prodrug form of the antibiotic should have no affinity to bind to eukaryotic targets before entering the bacterial cell [45]. Another emerging aspect of antimicrobial pharmacotherapy is the treatment of infections during pregnancy, lactation, and in childhood. Therapy in these patient groups in practically limited to β-lactam antibiotics, due to the teratogenic and adverse events described in other antibacterial drugs [118,119,120]. Therefore, an additional aim should be to produce drugs that are available for use in these vulnerable patient groups. Some regulatory agencies provide additional periods for patent exclusivity (pediatric exclusivity), to incentivize drug development in pediatric indications [121]. Drug–drug interactions are significant hindering factors in the efficacy of drugs, predominantly due to their inducing or inhibiting effect on various cytochrome P450 enzymes (predominantly the CYP3A4, CYP2C9 and CYP2D6 isoenzymes), affecting therapeutic response by modulating the degradation of other medicinal drugs [122,123]. An ideal antibiotic should be metabolized without affecting liver enzymes and it should be eliminated from the body unaltered (e.g., in the urine).

3. Prodrug Antibiotics in Clinical Use

The question arises as to whether the ideal antibiotic can only be a theoretical concept or is it realistic to identify and design such molecules. Surprisingly, there are a few drugs in current clinical use that have similar characteristics to this model, namely ethionamide, isoniazid, pyrazinamide and the metronidazole-like drugs (Figure 1.). Metronidazole is a broad-spectrum, bactericidal antibiotic, which is available in both oral and intravenous formulation [104]. In addition, it is relevant in other fields of infectious diseases, owing to its potent antiprotozoal activity (against Giardia lamblia, Trichomonas vaginalis, Entamoeba sp.). This drug belongs to the 5-nitroimidazole group drugs, together with its derivatives, tinidazole, ornidazole, ronidazole and secnidazole. Moreover, these compounds can be considered as the primary lead compounds for nitazoxanide (and its active metabolite tizoxanide), which are broad-spectrum antiparasitic agents [124]. Metronidazole is an important drug for the treatment of Helicobacter pylori, and it represents the gold standard in drug therapy for anaerobic infections [125,126,127,128]. Apart from some Gram-positive anaerobes (Mobiluncus curtisii and the genera Actinomyces, Bifidobacterium, Lactobacillus and Propionibacterium) having intrinsic non-susceptibility, the resistance to this drug is <1% worldwide [129,130,131]. Metronidazoles act as a prodrug, and it must be reduced by specific enzymes (namely nitro-reductases and redox-active enzymes, such as pyruvate:ferredoxin/pyruvate:flavodoxin oxidoreductase and hydrogenase), during which an electron is transferred to the nitro group of the drug [132]. The resulting nitroso-residues are non-specific, highly reactive, and have a short half-life, damaging the bacterial cell membrane, DNA (inducing strand breakage and destabilization of the helix structure), and proteins. Unfortunately, these enzymes are only expressed in pathogens that live under microaerophilic and/or anaerobic conditions. In addition, chemical reoxidation may also occur if molecular oxygen is present, converting the compound back to its inactive form [130]. Metronidazole is available in both oral and intravenous formulations; its bioavailability is almost 100%, and it has excellent tissue distribution.
Ethionamide (ETH), isoniazid (INH), and pyrazinamide (PYR) are all drugs that are relevant for the treatment of the Mycobacterium tuberculosis complex. Generally, INH and PYR are part of the first-line treatment regimen for TB, together with rifampicin and ethambutol, while ETH (and its therapeutic alternative prothionamide) is usually considered as a second-line drug, useful in drug-resistant TB [133,134]. All three drugs are bactericidal, and they can penetrate well into macrophages, which is an important aspect of treating the disease, as mycobacteria use macrophages to hide from the immune system [104,134]. They also turn into active derivatives after interaction with a Mycobacterium-specific enzyme: ETH requires activation by EthA (a flavin mono-oxygenase) and INH is activated by KatG (a catalase-peroxidase), while PYR is converted to its active form by the PZase/nicotinamidase, encoded by the pncA gene [135,136,137,138,139]. In the case of INH and ETH, following enzymatic activation, these metabolites form an adduct with nicotinamide adenine dinucleotide (NAD+), resulting in ethionamide-S-oxide-NAD and isonicotinic-acyl-NAD adducts; these metabolites are responsible for the antitubercular activity of the parent compounds [136,137,138,139]. In the case of PYR, activity against persisters has also been described, a property that is attributed to its active form, pyrazinoic acid (POA), which retains activity in cells with low metabolic activity [135]. Nevertheless, specific targets for all three drugs (namely, trans-2-enoyl-acyl carrier proteins (ACPs) for INH, ribosomal protein S1 (RpsA), and/or membrane destabilization for PYR and arabinozyl-transferase for ETH) have been identified, while the ideal antibiotic should hit multiple targets in a non-selective fashion [136,137,138,139]. This points to the notion that these drugs may not be as reactive as metronidazole.
It seems no surprise that all the above-mentioned drugs (Figure 1) are listed in the Essential Medicines List of the WHO, indicating their importance and the need for universal access [140]. This is further highlighted by the fact that INH and PYR represent half of the current first-line drugs for TB [141]. It is worth mentioning that all of the compounds corresponding to the prodrug rules are relatively small molecules (with molecular weights ranging between 123–171 g/mol); they have been discovered before the advent of HTS technologies and rational drug design, and no such compounds have been described since. This is especially odd, as the number of new compounds (i.e., the chemical space) is many magnitudes larger than half a century ago [45]. Through optimizing our discovery and screening platforms, the possibilities of finding compounds that—in classical pharmacological terms—have no specific targets is very limited (as most pre-clinical screening assays usually measure binding affinity). Redox-active compounds and drugs acting primarily on the cell membrane are groups of molecules that would definitely go unnoticed in these experiments. Based on the current screening criteria, the first sulfonamide drug (Prontosil) would have been excluded, as the active compound sulfanilamide becomes available only after in vivo metabolism [49]. Similarly, metronidazole (as it is a generally reactive compound with no specific target) and the polymyxins (possessing a detergent-like mechanism of action) would be considered undesirable leads. Nonetheless, the importance of these drugs should not be underestimated. In fact, some studies reported that all antibiotics may act via a unified mechanism of action, through the generation of reactive oxygen species (ROS) and direct cellular damage; however, there have been conflicting reports in this field of research [142,143,144,145,146].

4. Concluding Remarks

The growing number of antibiotic-resistant pathogens is increasingly threatening the efficacy of healthcare institutions worldwide. Antibiotic discovery needs to be re-energized, to rival the threat of the post-antibiotic era [25]. The attributes of the ideal antibiotic—summarized in Table 2—may be divided into pathogen-specific and drug-specific properties; however, this classification is somewhat arbitrary, as there is notable interplay between fulfilling both groups of characteristics. Furthermore, some important aspects of drug development and medicinal chemistry (yields of potential synthetic pathways, economic considerations of production, stability of the compound in various formulations) were not discussed in this review.
Realistically, producing a molecule that possesses all the listed properties above is very unlikely; therefore, the usefulness of this model is to aim towards specific features from the list, based on the pathogen, site of infection, administration route, and the targeted patient population during drug development. As a matter of fact, the best possible scenario would be to modify and/or functionalize existing antibiotics to attain more of the mentioned properties. Although there are some alternative approaches in development for combating infectious diseases (e.g., antibodies, probiotics, vaccine development, phage therapy, small-molecule adjuvants affecting immune cells), it is unreasonable to believe that they will replace antibiotics anytime soon [147]. Therefore, the main foci of our scientific advancements should be to preserve the drugs that we currently have (through the development of rapid and sensitive diagnostic tools to ensure their prudent use, and antibiotic stewardship practices [148,149,150]), in addition to facilitating the development of new antibacterial drugs.

Author Contributions

M.G. performed the literature survey, wrote and revised the paper, and prepared the figure.

Funding

This research received no external funding. The APC was funded by Institutional Open Access Programme (IOAP) of the University of Szeged.

Acknowledgments

M.G. was supported by the National Youth Excellence Scholarship (grant number NTP-NTFÖ-18-C-0225), and the ESCMID Observership Programme.

Conflicts of Interest

The author declares no conflict of interest.

Abbreviations

ACPacyl carrier protein
AMPantimicrobial peptide
BCSBiopharmaceutical Classification System
CCcombinatorial chemistry
CDCCenters for Disease Control and Prevention
CNScentral nervous system
ECDCEuropean Center for Disease Prevention and Control
EMAEuropean Medicines Agency
EPI:efflux pump inhibitor
ETHethionamide
FDAFood and Drug Administration
HTShigh-throughput screening
IDSAInfectious Diseases Society of America
IMinner membrane
IMIInnovative Medicines Initiative
INHisoniazid
IVintravenous therapy
MDRmultidrug resistant
MRSAmethicillin-resistant Staphylococcus aureus
NADnicotinamide adenine dinucleotide
ND4BBNew Drugs 4 Bad Bugs
OMouter membrane
POoral therapy
POApyrazinoic acid
PYRpyrazinamide
PDRpandrug resistant
RDDrational drug design
ROSreactive oxygen species
R&Dresearch and development
RO5Lipinsky’s Rule of Five
TBtuberculosis
XDRextensively drug resistant
WHOWorld Health Organization

References

  1. 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]
  2. McNulty, C.A.M.; Cookson, B.D.; Lewis, M.A.O. Education of healthcare professionals and the public. J. Antimicrob. Chemother. 2012, 67 (Suppl. 1), i11–i18. [Google Scholar] [CrossRef] [PubMed]
  3. Lee, C.-R.; Cho, I.H.; Jeong, B.C.; Lee, S.H. Strategies to Minimize Antibiotic Resistance. Int. J. Environ. Res. Public Health 2013, 10, 4274–4305. [Google Scholar] [CrossRef] [PubMed]
  4. Dyar, O.J.; Huttner, B.; Schouten, J.; Pulcini, C. What is antimicrobial stewardship? Clin. Microbiol. Infect. 2017, 23, 793–798. [Google Scholar] [CrossRef] [PubMed]
  5. Gajdács, M.; Paulik, E.; Szabó, A. [The opinions of community pharmacists related to antibiotic use and resistance] (article in Hungarian). Acta Pharm. Hung. 2018, 88, 249–252. [Google Scholar]
  6. Laxminarayan, R.; Duse, A.; Wattal, C.; Zaidi, A.K.M.; Wertheim, H.F.L.; Sumpradit, N.; Vlieghe, E.; Hara, G.L.; Gould, I.M.; Goossens, H.; et al. Antibiotic resistance-the need for global solutions. Lancet Infect. Dis. 2013, 13, 1057–1098. [Google Scholar] [CrossRef]
  7. Shallcross, L.J.; Howard, S.J.; Fowler, T.; Davies, S.C. Tackling the threat of antimicrobial resistance: From policy to sustainable action. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2015, 370, 20140082. [Google Scholar] [CrossRef] [PubMed]
  8. Ali, J.; Rafiq, Q.A.; Ratcliffe, E. Antimicrobial resistance mechanisms and potential synthetic treatments. Future Sci. OA 2018, 4, FSO290. [Google Scholar] [CrossRef] [PubMed]
  9. Munita, J.M.; Arias, C.A. Mechanisms of Antibiotic Resistance. Microbiol. Spectr. 2016, 4. [Google Scholar] [CrossRef]
  10. Chang, H.-H.; Cohen, T.; Grad, Y.H.; Hanage, W.P.; O’Brien, T.F.; Lipsitch, M. Origin and Proliferation of Multiple-Drug Resistance in Bacterial Pathogens. Microbiol. Mol. Biol. Rev. 2015, 79, 101–116. [Google Scholar] [CrossRef] [PubMed]
  11. Nikaido, H. Multidrug resistance in bacteria. Annu. Rev. Biochem. 2009, 78, 119–146. [Google Scholar] [CrossRef] [PubMed]
  12. Magiorakos, A.-P.; Srinivasan, A.; Carey, R.B.; Carmeli, Y.; Falagas, M.E.; Giske, C.G.; Harbarth, S.; Hindler, J.F.; Kahlmeter, G.; Olsson-Liljequist, B.; et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clin. Microbiol. Infect. 2012, 18, 268–281. [Google Scholar] [CrossRef] [PubMed]
  13. Leclercq, R.; Cantón, R.; Brown, D.F.J.; Giske, C.G.; Heisig, P.; MacGowan, A.P.; Mouton, J.W.; Nordmann, P.; Rodloff, A.C.; Rossolini, G.M.; et al. EUCAST expert rules in antimicrobial susceptibility testing. Clin. Microbiol. Infect. 2013, 19, 141–160. [Google Scholar] [CrossRef] [PubMed]
  14. O’Neill, J. Antimicrobial Resistance: Tackling a Crisis for the Health and Wealth of Nations. Available online: https://amr-review.org/sites/default/files/AMRReviewPaper-Tacklingacrisisforthehealthandwealthofnations_1.pdf (accessed on 23 January 2019).
  15. World Health Organisation. Antimicrobial Resistance: Global Report on Surveillance. 2014, pp. 1–256. Available online: http://apps.who.int/iris/bitstream/10665/112642/1/9789241564748_eng.pdf?ua=1 (accessed on 23 January 2019).
  16. ECDC/EMEA Joint Technical Report (2009). The Bacterial Challenge: Time to React. Available online: http://ecdc.europa.eu/en/publications/Publications/0909_TER_The_Bacterial_Challenge_Time_to_React.pdf (accessed on 23 January 2019).
  17. CDC Antibiotic/Antimicrobial Resistance (AR/AMR). Available online: https://www.cdc.gov/drugresistance/biggest_threats.html (accessed on 23 January 2019).
  18. Santajit, S.; Indrawattana, N. Mechanisms of Antimicrobial Resistance in ESKAPE Pathogens. Biomed. Res. Int. 2016, 2016, 2475067. [Google Scholar] [CrossRef] [PubMed]
  19. Zhu, H.; Swierstra, J.; Wu, C.; Girard, G.; Choi, Y.H.; van Wamel, W.; Sandiford, S.K.; van Wezel, G.P. Eliciting antibiotics active against the ESKAPE pathogens in a collection of actinomycetes isolated from mountain soils. Microbiology 2014, 160, 1714–1725. [Google Scholar] [CrossRef] [PubMed]
  20. Peng, Z.; Jin, D.; Kim, H.B.; Stratton, C.W.; Wu, B.; Tang, Y.-W.; Sun, X. Update on Antimicrobial Resistance in Clostridium difficile: Resistance Mechanisms and Antimicrobial Susceptibility Testing. J. Clin. Microbiol. 2017, 55, 1998–2008. [Google Scholar] [CrossRef] [PubMed]
  21. Brooke, J.S. Stenotrophomonas maltophilia: An Emerging Global Opportunistic Pathogen. Clin. Microbiol. Rev. 2012, 25, 2–41. [Google Scholar] [CrossRef] [PubMed]
  22. Boucher, H.W.; Talbot, G.H.; Bradley, J.S.; Edwards, J.E.; Gilbert, D.; Rice, L.B.; Scheld, M.; Spellberg, B.; Bartlett, J. Bad Bugs, No Drugs: No ESKAPE! An Update from the Infectious Diseases Society of America. Clin. Infect. Dis. 2009, 48, 1–12. [Google Scholar] [CrossRef] [PubMed]
  23. Elemam, A.; Rahimian, J.; Mandell, W. Infection with panresistant Klebsiella pneumoniae: A report of 2 cases and a brief review of the literature. Clin. Infect. Dis. 2009, 49, 271–274. [Google Scholar] [CrossRef] [PubMed]
  24. Falagas, M.E.; Rafailidis, P.I.; Matthaiou, D.K.; Virtzili, S.; Nikita, D.; Michalopoulos, A. Pandrug-resistant Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii infections: Characteristics and outcome in a series of 28 patients. Int. J. Antimicrob. Agents 2008, 32, 450–454. [Google Scholar] [CrossRef] [PubMed]
  25. Medina, E.; Pieper, D.H. Tackling Threats and Future Problems of Multidrug-Resistant Bacteria. Curr. Top. Microbiol. Immunol. 2016, 398, 3–33. [Google Scholar] [PubMed]
  26. Lyddiard, D.; Jones, G.L.; Greatrex, B.W. Keeping it simple: Lessons from the golden era of antibiotic discovery. FEMS Microbiol. Lett. 2016, 363, fnw084. [Google Scholar] [CrossRef] [PubMed]
  27. Darrow, J.J.; Kesselheim, A.S. Drug development and FDA approval, 1938–2013. N. Engl. J. Med. 2014, 370, e39. [Google Scholar] [CrossRef] [PubMed]
  28. Finland, M.; Kirby, W.M.; Chabbert, Y.A.; Chain, E.B.; Dowling, H.F.; Garrod, L.P.; Pettinga, C.W.; Todd, A.C. Round table: Are new antibiotics needed? Antimicrob. Agents Chemother. 1965, 5, 1107–1114. [Google Scholar] [PubMed]
  29. Bozdogan, B.; Appelbaum, P.C. Oxazolidinones: Activity, mode of action, and mechanism of resistance. Int. J. Antimicrob. Agents 2004, 23, 113–119. [Google Scholar] [CrossRef] [PubMed]
  30. Steenbergen, J.N.; Alder, J.; Thorne, G.M.; Tally, F.P. Daptomycin: A lipopeptide antibiotic for the treatment of serious Gram-positive infections. J. Antimicrob. Chemother. 2005, 55, 283–288. [Google Scholar] [CrossRef] [PubMed]
  31. Bergen, P.J.; Landersdorfer, C.B.; Zhang, J.; Zhao, M.; Lee, H.J.; Nation, R.L.; Li, J. Pharmacokinetics and pharmacodynamics of “old” polymyxins: What is new? Diagn. Microbiol. Infect. Dis. 2012, 74, 213–223. [Google Scholar] [CrossRef] [PubMed]
  32. Gupta, S.; Govil, D.; Kakar, P.N.; Prakash, O.; Arora, D.; Das, S.; Govil, P.; Malhotra, A. Colistin and polymyxin B: A re-emergence. Indian J. Crit. Care Med. 2009, 13, 49–53. [Google Scholar] [CrossRef] [PubMed]
  33. Nation, R.L.; Li, J. Colistin in the 21st Century. Curr. Opin. Infect. Dis. 2009, 22, 535–543. [Google Scholar] [CrossRef] [PubMed]
  34. Zhou, M.; Chen, J.; Liu, Y.; Hu, Y.; Liu, Y.; Lu, J.; Zhang, S.; Yu, Y.; Huang, X.; Yang, Q.; et al. In Vitro Activities of Ceftaroline/Avibactam, Ceftazidime/Avibactam, and Other Comparators against Pathogens from Various Complicated Infections in China. Clin. Infect. Dis. 2018, 67, S206–S216. [Google Scholar] [CrossRef] [PubMed]
  35. Karaiskos, I.; Galani, I.; Souli, M.; Giamarellou, H. Novel β-lactam-β-lactamase inhibitor combinations: Expectations for the treatment of carbapenem-resistant Gram-negative pathogens. Expert Opin. Drug Metab. Toxicol. 2019, 15, 133–149. [Google Scholar] [CrossRef] [PubMed]
  36. Spellberg, B. The future of antibiotics. Crit. Care 2014, 18, 228. [Google Scholar] [CrossRef] [PubMed]
  37. Spellberg, B.; Talbot, G.H.; Brass, E.P.; Bradley, J.S.; Boucher, H.W.; Gilbert, D.N. Infectious Diseases Society of America Position paper: Recommended design features of future clinical trials of antibacterial agents for community-acquired pneumonia. Clin. Infect. Dis. 2008, 47 (Suppl. 3), S249–S265. [Google Scholar]
  38. Lewis, K. Platforms for antibiotic discovery. Nat. Rev. Drug Discov. 2013, 12, 371–387. [Google Scholar] [CrossRef] [PubMed]
  39. Projan, S.J. Why is big Pharma getting out of antibacterial drug discovery? Curr. Opin. Microbiol. 2003, 6, 427–430. [Google Scholar] [CrossRef] [PubMed]
  40. Boggs, A.F.; Miller, G.H. Antibacterial drug discovery: Is small pharma the solution? Clin. Microbiol. Infect. 2004, 10 (Suppl. 4), 32–36. [Google Scholar] [CrossRef] [PubMed]
  41. Rex, J.H. ND4BB: Addressing the antimicrobial resistance crisis. Nat. Rev. Microbiol. 2014, 12, 231–232. [Google Scholar] [CrossRef]
  42. Infectious Diseases Society of America. The 10 × ’20 Initiative: Pursuing a global commitment to develop 10 new antibacterial drugs by 2020. Clin. Infect. Dis. 2010, 50, 1081–1083. [Google Scholar] [CrossRef] [PubMed]
  43. Hughes, D.; Karlén, A. Discovery and preclinical development of new antibiotics. Ups. J. Med. Sci. 2014, 119, 162–169. [Google Scholar] [CrossRef] [PubMed]
  44. Coates, A.R.; Halls, G.; Hu, Y. Novel classes of antibiotics or more of the same? Br. J. Pharmacol. 2011, 163, 184–194. [Google Scholar] [CrossRef] [PubMed]
  45. Lewis, K. New approaches to antimicrobial discovery. Biochem. Pharmacol. 2017, 134, 87–98. [Google Scholar] [CrossRef] [PubMed]
  46. Kealey, C.; Creaven, C.A.; Murphy, C.D.; Brady, C.B. New approaches to antibiotic discovery. Biotechnol. Lett. 2017, 39, 805–817. [Google Scholar] [CrossRef] [PubMed]
  47. Leung, M.C.K.; Williams, P.L.; Benedetto, A.; Au, C.; Helmcke, K.J.; Aschner, M.; Meyer, J.N. Caenorhabditis elegans: An Emerging Model in Biomedical and Environmental Toxicology. Toxicol. Sci. 2008, 106, 5–28. [Google Scholar] [CrossRef] [PubMed]
  48. O’Rourke, E.J.; Conery, A.L.; Moy, T.I. Whole-animal high-throughput screens: The C. elegans model. Methods Mol. Biol. 2009, 486, 57–75. [Google Scholar] [PubMed]
  49. Domagk, G. Ein Beitrag zur Chemotherapie der bakteriellen Infektionen. Dtsch. Med. Wochenschr. 1935, 61, 250–253. [Google Scholar] [CrossRef]
  50. Vézina, C.; Kudelski, A.; Sehgal, S.N. Rapamycin (AY-22,989), a new antifungal antibiotic. I. Taxonomy of the producing streptomycete and isolation of the active principle. J. Antibiot. 1975, 28, 721–726. [Google Scholar] [CrossRef] [PubMed]
  51. Waksman, S.A.; Woodruff, H.B. The Soil as a Source of Microorganisms Antagonistic to Disease-Producing Bacteria. J. Bacteriol. 1940, 40, 581–600. [Google Scholar] [PubMed]
  52. Zazopoulos, E.; Huang, K.; Staffa, A.; Liu, W.; Bachmann, B.O.; Nonaka, K.; Ahlert, J.; Thorson, J.S.; Shen, B.; Farnet, C.M. A genomics-guided approach for discovering and expressing cryptic metabolic pathways. Nat. Biotechnol. 2003, 21, 187–190. [Google Scholar] [CrossRef] [PubMed]
  53. Nichols, D.; Cahoon, N.; Trakhtenberg, E.M.; Pham, L.; Mehta, A.; Belanger, A.; Kanigan, T.; Lewis, K.; Epstein, S.S. Use of Ichip for High-Throughput In Situ Cultivation of “Uncultivable” Microbial Species. Appl. Environ. Microbiol. 2010, 76, 2445–2450. [Google Scholar] [CrossRef] [PubMed]
  54. Shannon, E.; Abu-Ghannam, N. Antibacterial Derivatives of Marine Algae: An Overview of Pharmacological Mechanisms and Applications. Mar. Drugs 2016, 14, 81. [Google Scholar] [CrossRef] [PubMed]
  55. Lewis, K.; Ausubel, F.M. Prospects for plant-derived antibacterials. Nat. Biotechnol. 2006, 24, 1504–1507. [Google Scholar] [CrossRef] [PubMed]
  56. Andries, K.; Verhasselt, P.; Guillemont, J.; Göhlmann, H.W.H.; Neefs, J.-M.; Winkler, H.; Van Gestel, J.; Timmerman, P.; Zhu, M.; Lee, E.; et al. A diarylquinoline drug active on the ATP synthase of Mycobacterium tuberculosis. Science 2005, 307, 223–227. [Google Scholar] [CrossRef] [PubMed]
  57. Dethlefsen, L.; Relman, D.A. Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation. Proc. Natl. Acad. Sci. USA 2011, 108 (Suppl. 1), 4554–4561. [Google Scholar] [CrossRef]
  58. Payne, D.J.; Gwynn, M.N.; Holmes, D.J.; Pompliano, D.L. Drugs for bad bugs: Confronting the challenges of antibacterial discovery. Nat. Rev. Drug Discov. 2007, 6, 29–40. [Google Scholar] [CrossRef] [PubMed]
  59. Nuti, R.; Goud, N.S.; Saraswati, A.P.; Alvala, R.; Alvala, M. Antimicrobial Peptides: A Promising Therapeutic Strategy in Tackling Antimicrobial Resistance. Curr. Med. Chem. 2017, 24, 4303–4314. [Google Scholar] [CrossRef] [PubMed]
  60. Ganz, T. Defensins: Antimicrobial peptides of innate immunity. Nat. Rev. Immunol. 2003, 3, 710–720. [Google Scholar] [CrossRef] [PubMed]
  61. Kumar, P.; Kizhakkedathu, J.N.; Straus, S.K. Antimicrobial Peptides: Diversity, Mechanism of Action and Strategies to Improve the Activity and Biocompatibility In Vivo. Biomolecules 2018, 8, 4. [Google Scholar] [CrossRef] [PubMed]
  62. Carmona-Ribeiro, A.M.; de Melo Carrasco, L.D. Novel Formulations for Antimicrobial Peptides. Int. J. Mol. Sci. 2014, 15, 18040–18083. [Google Scholar] [CrossRef] [PubMed]
  63. Drawz, S.M.; Bonomo, R.A. Three Decades of β-Lactamase Inhibitors. Clin. Microbiol. Rev. 2010, 23, 160–201. [Google Scholar] [CrossRef] [PubMed]
  64. Spengler, G.; Kincses, A.; Gajdacs, M.; Amaral, L. New Roads Leading to Old Destinations: Efflux Pumps as Targets to Reverse Multidrug Resistance in Bacteria. Molecules 2017, 22, 468. [Google Scholar] [CrossRef] [PubMed]
  65. Lomovskaya, O.; Warren, M.S.; Lee, A.; Galazzo, J.; Fronko, R.; Lee, M.; Blais, J.; Cho, D.; Chamberland, S.; Renau, T.; et al. Identification and characterization of inhibitors of multidrug resistance efflux pumps in Pseudomonas aeruginosa: Novel agents for combination therapy. Antimicrob. Agents Chemother. 2001, 45, 105–116. [Google Scholar] [CrossRef] [PubMed]
  66. Mühlen, S.; Dersch, P. Anti-virulence Strategies to Target Bacterial Infections. In How to Overcome the Antibiotic Crisis: Facts, Challenges, Technologies and Future Perspectives; Stadler, M., Dersch, P., Eds.; Current Topics in Microbiology and Immunology; Springer International Publishing: Cham, Switzerland, 2016; pp. 147–183. ISBN 978-3-319-49284-1. [Google Scholar]
  67. Cegelski, L.; Marshall, G.R.; Eldridge, G.R.; Hultgren, S.J. The biology and future prospects of antivirulence therapies. Nat. Rev. Microbiol. 2008, 6, 17–27. [Google Scholar] [CrossRef] [PubMed]
  68. Haque, S.; Ahmad, F.; Dar, S.A.; Jawed, A.; Mandal, R.K.; Wahid, M.; Lohani, M.; Khan, S.; Singh, V.; Akhter, N. Developments in strategies for Quorum Sensing virulence factor inhibition to combat bacterial drug resistance. Microb. Pathog. 2018, 121, 293–302. [Google Scholar] [CrossRef] [PubMed]
  69. Lowy, I.; Molrine, D.C.; Leav, B.A.; Blair, B.M.; Baxter, R.; Gerding, D.N.; Nichol, G.; Thomas, W.D.; Leney, M.; Sloan, S.; et al. Treatment with Monoclonal Antibodies against Clostridium difficile Toxins. N. Engl. J. Med. 2010, 362, 197–205. [Google Scholar] [CrossRef] [PubMed]
  70. Love, M.J.; Bhandari, D.; Dobson, R.C.J.; Billington, C. Potential for Bacteriophage Endolysins to Supplement or Replace Antibiotics in Food Production and Clinical Care. Antibiotics (Basel) 2018, 7, 17. [Google Scholar] [CrossRef] [PubMed]
  71. Schmelcher, M.; Donovan, D.M.; Loessner, M.J. Bacteriophage endolysins as novel antimicrobials. Future Microbiol. 2012, 7, 1147–1171. [Google Scholar] [CrossRef] [PubMed]
  72. Briers, Y.; Walmagh, M.; Puyenbroeck, V.V.; Cornelissen, A.; Cenens, W.; Aertsen, A.; Oliviera, H.; Azeredo, J.; Verween, G.; Pirnay, J.P.; et al. Engineered Endolysin-Based “Artilysins” To Combat Multidrug-Resistant Gram-Negative Pathogens. mBio 2014, 5, e01379-14. [Google Scholar] [CrossRef] [PubMed]
  73. Kashani, H.H.; Schmelcher, M.; Sabzalipoor, H.; Hosseini, E.S.; Moniri, R. Recombinant Endolysins as Potential Therapeutics against Antibiotic-Resistant Staphylococcus aureus: Current Status of Research and Novel Delivery Strategies. Clin. Microbiol. Rev. 2018, 31, 1–26. [Google Scholar]
  74. Singh, S.B.; Young, K.; Silver, L.L. What is an “ideal” antibiotic? Discovery challenges and path forward. Biochem. Pharmacol. 2017, 133, 63–73. [Google Scholar] [CrossRef] [PubMed]
  75. Pankey, G.A.; Sabath, L.D. Clinical Relevance of Bacteriostatic versus Bactericidal Mechanisms of Action in the Treatment of Gram-Positive Bacterial Infections. Clin. Infect. Dis. 2004, 38, 864–870. [Google Scholar] [CrossRef] [PubMed]
  76. Nemeth, J.; Oesch, G.; Kuster, S.P. Bacteriostatic versus bactericidal antibiotics for patients with serious bacterial infections: Systematic review and meta-analysis. J. Antimicrob. Chemother. 2015, 70, 382–395. [Google Scholar] [CrossRef] [PubMed]
  77. Wald-Dickler, N.; Holtom, P.; Spellberg, B. Busting the Myth of “Static vs Cidal”: A Systemic Literature Review. Clin. Infect. Dis. 2018, 66, 1470–1474. [Google Scholar] [CrossRef] [PubMed]
  78. Redelinghuys, M.J.; Ehlers, M.M.; Dreyer, A.W.; Lombaard, H.A.; Kock, M.M. Antimicrobial susceptibility patterns of Ureaplasma species and Mycoplasma hominis in pregnant women. BMC Infect. Dis. 2014, 14, 171. [Google Scholar] [CrossRef] [PubMed]
  79. Briers, Y.; Staubli, T.; Schmid, M.C.; Wagner, M.; Schuppler, M.; Loessner, M.J. Intracellular Vesicles as Reproduction Elements in Cell Wall-Deficient L-Form Bacteria. PLoS ONE 2012, 7, e38514. [Google Scholar] [CrossRef] [PubMed]
  80. Errington, J. L-form bacteria, cell walls and the origins of life. Open Biol. 2013, 3, 120143. [Google Scholar] [CrossRef] [PubMed]
  81. Errington, J.; Mickiewicz, K.; Kawai, Y.; Wu, L.J. L-form bacteria, chronic diseases and the origins of life. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2016, 371, 20150494. [Google Scholar] [CrossRef] [PubMed]
  82. Wood, T.K.; Knabel, S.J.; Kwan, B.W. Bacterial Persister Cell Formation and Dormancy. Appl. Environ. Microbiol. 2013, 79, 7116–7121. [Google Scholar] [CrossRef] [PubMed]
  83. Van den Bergh, B.; Fauvart, M.; Michiels, J. Formation, physiology, ecology, evolution and clinical importance of bacterial persisters. FEMS Microbiol. Rev. 2017, 41, 219–251. [Google Scholar] [CrossRef] [PubMed]
  84. Fisher, R.A.; Gollan, B.; Helaine, S. Persistent bacterial infections and persister cells. Nat. Rev. Microbiol. 2017, 15, 453–464. [Google Scholar] [CrossRef] [PubMed]
  85. Wu, H.; Moser, C.; Wang, H.-Z.; Høiby, N.; Song, Z.-J. Strategies for combating bacterial biofilm infections. Int. J. Oral Sci. 2015, 7, 1–7. [Google Scholar] [CrossRef] [PubMed]
  86. Limoli, D.H.; Jones, C.J.; Wozniak, D.J. Bacterial Extracellular Polysaccharides in Biofilm Formation and Function. Microbiol. Spectr. 2015, 3. [Google Scholar] [CrossRef] [PubMed]
  87. Costerton, J.W. Cystic fibrosis pathogenesis and the role of biofilms in persistent infection. Trends Microbiol. 2001, 9, 50–52. [Google Scholar] [CrossRef]
  88. Belfield, K.; Bayston, R.; Hajduk, N.; Levell, G.; Birchall, J.P.; Daniel, M. Evaluation of combinations of putative anti-biofilm agents and antibiotics to eradicate biofilms of Staphylococcus aureus and Pseudomonas aeruginosa. J. Antimicrob. Chemother. 2017, 72, 2531–2538. [Google Scholar] [CrossRef] [PubMed]
  89. Chung, P.Y.; Toh, Y.S. Anti-biofilm agents: Recent breakthrough against multi-drug resistant Staphylococcus aureus. Pathog. Dis. 2014, 70, 231–239. [Google Scholar] [CrossRef] [PubMed]
  90. Zgurskaya, H.I.; Löpez, C.A.; Gnanakaran, S. Permeability Barrier of Gram-Negative Cell Envelopes and Approaches to Bypass It. ACS Infect. Dis. 2015, 1, 512–522. [Google Scholar] [CrossRef] [PubMed]
  91. Silver, L.L. Are natural products still the best source for antibacterial discovery? The bacterial entry factor. Expert Opin. Drug. Discov. 2008, 3, 487–500. [Google Scholar] [CrossRef] [PubMed]
  92. O’Shea, R.; Moser, H.E. Physicochemical Properties of Antibacterial Compounds: Implications for Drug Discovery. J. Med. Chem. 2008, 51, 2871–2878. [Google Scholar] [CrossRef] [PubMed]
  93. Miller, S.I. Antibiotic Resistance and Regulation of the Gram-Negative Bacterial Outer Membrane Barrier by Host Innate Immune Molecules. mBio 2016, 7, e01541-16. [Google Scholar] [CrossRef] [PubMed]
  94. Tiz, D.B.; Kikelj, D.; Zidar, N. Overcoming problems of poor drug penetration into bacteria: Challenges and strategies for medicinal chemists. Expert Opin. Drug Discov. 2018, 13, 497–507. [Google Scholar]
  95. Fernández, L.; Hancock, R.E.W. Adaptive and Mutational Resistance: Role of Porins and Efflux Pumps in Drug Resistance. Clin. Microbiol. Rev. 2012, 25, 661–681. [Google Scholar] [CrossRef] [PubMed]
  96. Delcour, A.H. Outer Membrane Permeability and Antibiotic Resistance. Biochim. Biophys. Acta 2009, 1794, 808–816. [Google Scholar] [CrossRef] [PubMed]
  97. Webber, M.A.; Piddock, L.J.V. The importance of efflux pumps in bacterial antibiotic resistance. J. Antimicrob. Chemother. 2003, 51, 9–11. [Google Scholar] [CrossRef] [PubMed]
  98. Amaral, L.; Martins, A.; Spengler, G.; Molnar, J. Efflux pumps of Gram-negative bacteria: What they do, how they do it, with what and how to deal with them. Front. Pharmacol. 2014, 4, 168. [Google Scholar] [CrossRef] [PubMed]
  99. Tegos, G.P.; Haynes, M.; Strouse, J.J.; Khan, M.M.T.; Bologa, C.G.; Oprea, T.I.; Sklar, L.A. Microbial Efflux Pump Inhibition: Tactics and Strategies. Curr. Pharm. Des. 2011, 17, 1291–1302. [Google Scholar] [CrossRef] [PubMed]
  100. Drlica, K. The mutant selection window and antimicrobial resistance. J. Antimicrob. Chemother. 2003, 52, 11–17. [Google Scholar] [CrossRef] [PubMed]
  101. Hefti, F.F. Requirements for a lead compound to become a clinical candidate. BMC Neurosci. 2008, 9, S7. [Google Scholar] [CrossRef] [PubMed]
  102. MacGregor, R.R.; Graziani, A.L. Oral administration of antibiotics: A rational alternative to the parenteral route. Clin. Infect. Dis. 1997, 24, 457–467. [Google Scholar] [CrossRef] [PubMed]
  103. Li, H.K.; Agweyu, A.; English, M.; Bejon, P. An unsupported preference for intravenous antibiotics. PLoS Med. 2015, 12, e1001825. [Google Scholar] [CrossRef] [PubMed]
  104. Brunton, L.; Chabner, B.A.; Knollman, B. Goodman & Gillman’s The Pharmacological Basis of Therapeutics, 12th ed.; McGraw-Hill: New York, NY, USA, 2011. [Google Scholar]
  105. Lipinski, C.A. Drug-like properties and the causes of poor solubility and poor permeability. J. Pharmacol. Toxicol. Methods 2000, 44, 235–249. [Google Scholar] [CrossRef]
  106. Lipinski, C.A.; Lombardo, F.; Dominy, B.W.; Feeney, P.J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Deliv. Rev. 2001, 46, 3–26. [Google Scholar] [CrossRef]
  107. Gajdács, M.; Handzlik, J.; Sanmartín, C.; Domínguez-Álvarez, E.; Spengler, G. [Prediction of ADME properties for selenocompounds with anticancer and efflux pump inhibitory activity using preliminary computational methods] (article in Hungarian). Acta Pharm. Hung. 2018, 88, 67–74. [Google Scholar]
  108. Takagi, T.; Ramachandran, C.; Bermejo, M.; Yamashita, S.; Yu, L.X.; Amidon, G.L. A Provisional Biopharmaceutical Classification of the Top 200 Oral Drug Products in the United States, Great Britain, Spain, and Japan. Mol. Pharm. 2006, 3, 631–643. [Google Scholar] [CrossRef] [PubMed]
  109. Spellberg, B.; Lipsky, B.A. Systemic Antibiotic Therapy for Chronic Osteomyelitis in Adults. Clin. Infect. Dis. 2012, 54, 393–407. [Google Scholar] [CrossRef] [PubMed]
  110. Wagner, C.; Sauermann, R.; Joukhadar, C. Principles of antibiotic penetration into abscess fluid. Pharmacology 2006, 78, 1–10. [Google Scholar] [CrossRef] [PubMed]
  111. Carryn, S.; Chanteux, H.; Seral, C.; Mingeot-Leclercq, M.-P.; Van Bambeke, F.; Tulkens, P.M. Intracellular pharmacodynamics of antibiotics. Infect. Dis. Clin. N. Am. 2003, 17, 615–634. [Google Scholar] [CrossRef]
  112. Van Bambeke, F.; Barcia-Macay, M.; Lemaire, S.; Tulkens, P.M. Cellular pharmacodynamics and pharmacokinetics of antibiotics: Current views and perspectives. Curr. Opin. Drug Discov. Dev. 2006, 9, 218–230. [Google Scholar]
  113. McClure, E.E.; Oliva Chávez, A.S.; Shaw, D.K.; Carlyon, J.A.; Ganta, R.R.; Noh, S.M.; Wood, D.O.; Bavoil, P.M.; Brayton, K.A.; Martinez, J.J.; et al. Engineering of obligate intracellular bacteria: Progress, challenges and paradigms. Nat. Rev. Microbiol. 2017, 15, 544–558. [Google Scholar] [CrossRef] [PubMed]
  114. Candel, F.J.; Peñuelas, M. Delafloxacin: Design, development and potential place in therapy. Drug Des. Dev. Ther. 2017, 11, 881–891. [Google Scholar] [CrossRef] [PubMed]
  115. Lemaire, S.; Tulkens, P.M.; Bambeke, F.V. Contrasting Effects of Acidic pH on the Extracellular and Intracellular Activities of the Anti-Gram-Positive Fluoroquinolones Moxifloxacin and Delafloxacin against Staphylococcus aureus. Antimicrob. Agents Chemother. 2011, 55, 649–658. [Google Scholar] [CrossRef] [PubMed]
  116. Blais, J.; Beauchamp, D.; Chamberland, S. Azithromycin uptake and intracellular accumulation by Toxoplasma gondii-infected macrophages. J. Antimicrob. Chemother. 1994, 34, 371–382. [Google Scholar] [CrossRef] [PubMed]
  117. Bosnar, M.; Kelnerić, Ž.; Munić, V.; Eraković, V.; Parnham, M.J. Cellular Uptake and Efflux of Azithromycin, Erythromycin, Clarithromycin, Telithromycin, and Cethromycin. Antimicrob. Agents Chemother. 2005, 49, 2372–2377. [Google Scholar] [CrossRef] [PubMed]
  118. Mylonas, I. Antibiotic chemotherapy during pregnancy and lactation period: Aspects for consideration. Arch. Gynecol. Obstet. 2011, 283, 7–18. [Google Scholar] [CrossRef] [PubMed]
  119. Nahum, G.G.; Uhl, K.; Kennedy, D.L. Antibiotic use in pregnancy and lactation: What is and is not known about teratogenic and toxic risks. Obstet. Gynecol. 2006, 107, 1120–1138. [Google Scholar] [CrossRef] [PubMed]
  120. Youngster, I.; Avorn, J.; Belleudi, V.; Cantarutti, A.; Díez-Domingo, J.; Kirchmayer, U.; Park, B.-J.; Peiró, S.; Sanfélix-Gimeno, G.; Schröder, H.; et al. Antibiotic Use in Children—A Cross-National Analysis of 6 Countries. J. Pediatr. 2017, 182, 239–244.e1. [Google Scholar] [CrossRef] [PubMed]
  121. Kim, J.; Ross, J.S.; Kapczynski, A. Pediatric Exclusivity and Regulatory Authority: Implications of Amgen v HHS. JAMA 2018, 319, 21–22. [Google Scholar] [CrossRef] [PubMed]
  122. Manikandan, P.; Nagini, S. Cytochrome P450 Structure, Function and Clinical Significance: A Review. Curr. Drug Targets 2018, 19, 38–54. [Google Scholar] [CrossRef] [PubMed]
  123. Nettleton, D.O.; Einolf, H.J. Assessment of cytochrome p450 enzyme inhibition and inactivation in drug discovery and development. Curr. Top. Med. Chem. 2011, 11, 382–403. [Google Scholar] [CrossRef] [PubMed]
  124. Fox, L.M.; Saravolatz, L.D. Nitazoxanide: A New Thiazolide Antiparasitic Agent. Clin. Infect. Dis. 2005, 40, 1173–1180. [Google Scholar] [CrossRef] [PubMed]
  125. Löfmark, S.; Edlund, C.; Nord, C.E. Metronidazole is still the drug of choice for treatment of anaerobic infections. Clin. Infect. Dis. 2010, 50 (Suppl. 1), S16–S23. [Google Scholar] [CrossRef] [PubMed]
  126. Adachi, T.; Matsui, S.; Watanabe, T.; Okamoto, K.; Okamoto, A.; Kono, M.; Yamada, M.; Nagai, T.; Komeda, Y.; Minaga, K.; et al. Comparative Study of Clarithromycin- versus Metronidazole-Based Triple Therapy as First-Line Eradication for Helicobacter pylori. Oncology 2017, 93 (Suppl. 1), 15–19. [Google Scholar] [CrossRef]
  127. Butenko, T.; Jeverica, S.; Orel, R.; Homan, M. Antibacterial resistance and the success of tailored triple therapy in Helicobacter pylori strains isolated from Slovenian children. Helicobacter 2017, 22. [Google Scholar] [CrossRef] [PubMed]
  128. Ahn, H.J.; Lee, D.S. Helicobacter pylori in gastric carcinogenesis. World J. Gastrointest. Oncol. 2015, 7, 455–465. [Google Scholar] [CrossRef] [PubMed]
  129. Sóki, J.; Gal, M.; Brazier, J.S.; Rotimi, V.O.; Urbán, E.; Nagy, E.; Duerden, B.I. Molecular investigation of genetic elements contributing to metronidazole resistance in Bacteroides strains. J. Antimicrob. Chemother. 2006, 57, 212–220. [Google Scholar] [CrossRef] [PubMed]
  130. Gajdács, M.; Spengler, G.; Urbán, E. Identification and Antimicrobial Susceptibility Testing of Anaerobic Bacteria: Rubik’s Cube of Clinical Microbiology? Antibiotics (Basel) 2017, 6, 25. [Google Scholar] [CrossRef] [PubMed]
  131. Jeverica, S.; Kolenc, U.; Mueller-Premru, M.; Papst, L. Evaluation of the routine antimicrobial susceptibility testing results of clinically significant anaerobic bacteria in a Slovenian tertiary-care hospital in 2015. Anaerobe 2017, 47, 64–69. [Google Scholar] [CrossRef] [PubMed]
  132. Shinn, D.L.S. Metronidazole in acute ulcerative gingivitis. Lancet 1962, 279, 1191. [Google Scholar] [CrossRef]
  133. Sotgiu, G.; Centis, R.; D’ambrosio, L.; Migliori, G.B. Tuberculosis Treatment and Drug Regimens. Cold Spring Harb. Perspect. Med. 2015, 5, a017822. [Google Scholar] [CrossRef] [PubMed]
  134. Pieters, J. Mycobacterium tuberculosis and the Macrophage: Maintaining a Balance. Cell Host Microbe 2008, 3, 399–407. [Google Scholar] [CrossRef] [PubMed]
  135. Zhang, Y.; Shi, W.; Zhang, W.; Mitchison, D. Mechanisms of Pyrazinamide Action and Resistance. Microbiol. Spectr. 2014, 2. [Google Scholar] [CrossRef] [PubMed]
  136. Wang, F.; Langley, R.; Gulten, G.; Dover, L.G.; Besra, G.S.; Jacobs, W.R.; Sacchettini, J.C. Mechanism of thioamide drug action against tuberculosis and leprosy. J. Exp. Med. 2007, 204, 73–78. [Google Scholar] [CrossRef] [PubMed]
  137. Unissa, A.N.; Subbian, S.; Hanna, L.E.; Selvakumar, N. Overview on mechanisms of isoniazid action and resistance in Mycobacterium tuberculosis. Infect. Genet. Evol. 2016, 45, 474–492. [Google Scholar] [CrossRef] [PubMed]
  138. Banerjee, A.; Dubnau, E.; Quemard, A.; Balasubramanian, V.; Um, K.S.; Wilson, T.; Collins, D.; de Lisle, G.; Jacobs, W.R. inhA, a gene encoding a target for isoniazid and ethionamide in Mycobacterium tuberculosis. Science 1994, 263, 227–230. [Google Scholar] [CrossRef] [PubMed]
  139. Shi, W.; Zhang, X.; Jiang, X.; Yuan, H.; Lee, J.S.; Barry, C.E.; Wang, H.; Zhang, W.; Zhang, Y. Pyrazinamide inhibits trans-translation in Mycobacterium tuberculosis. Science 2011, 333, 1630–1632. [Google Scholar] [PubMed]
  140. The Selection and Use of Essential Medicines. World Health Organization. Available online: https://www.who.int/medicines/publications/essentialmedicines/EML_2017_ExecutiveSummary.pdf?ua=1 (accessed on 23 January 2019).
  141. Almeida Da Silva, P.E.A.; Palomino, J.C. Molecular basis and mechanisms of drug resistance in Mycobacterium tuberculosis: Classical and new drugs. J. Antimicrob. Chemother. 2011, 66, 1417–1430. [Google Scholar] [CrossRef] [PubMed]
  142. Witek, K.; Nasim, M.J.; Bischoff, M.; Gaupp, R.; Arsenyan, P.; Vasiljeva, J.; Marć, M.A.; Olejarz, A.; Latacz, G.; Kieć-Kononowicz, K.; et al. Selenazolinium Salts as “Small Molecule Catalysts” with High Potency against ESKAPE Bacterial Pathogens. Molecules 2017, 22, 2174. [Google Scholar] [CrossRef] [PubMed]
  143. Acker, H.V.; Coenye, T. The Role of Reactive Oxygen Species in Antibiotic-Mediated Killing of Bacteria. Trends Microbiol. 2017, 25, 456–466. [Google Scholar] [CrossRef] [PubMed]
  144. Fang, F.C. Antimicrobial Actions of Reactive Oxygen Species. mBio 2011, 2, e00141-11. [Google Scholar] [CrossRef] [PubMed]
  145. Keren, I.; Wu, Y.; Inocencio, J.; Mulcahy, L.R.; Lewis, K. Killing by Bactericidal Antibiotics Does Not Depend on Reactive Oxygen Species. Science 2013, 339, 1213–1216. [Google Scholar] [CrossRef] [PubMed]
  146. Liu, Y.; Imlay, J.A. Cell Death from Antibiotics without the Involvement of Reactive Oxygen Species. Science 2013, 339, 1210–1213. [Google Scholar] [CrossRef] [PubMed]
  147. Wright, G.D. Antibiotic Adjuvants: Rescuing Antibiotics from Resistance. Trends Microbiol. 2016, 24, 862–871. [Google Scholar] [CrossRef] [PubMed]
  148. Ha, D.R.; Haste, N.M.; Gluckstein, D.P. The Role of Antibiotic Stewardship in Promoting Appropriate Antibiotic Use. Am. J. Lifestyle Med. 2017. [Google Scholar] [CrossRef]
  149. Gajdács, M.; Paulik, E.; Szabó, A. [The attitude of community pharmacists towards their widening roles in the prevention and treatment of infectious diseases in the southeast region of Hungary] (article in Hungarian). Gyógyszerészet 2019, 63, 26–30. [Google Scholar]
  150. Infectious Diseases Society of America. An unmet medical need: Rapid molecular diagnostics tests for respiratory tract infections. Clin. Infect. Dis. 2011, 52 (Suppl. 4), S384–S395. [Google Scholar] [CrossRef] [PubMed]
Molecules 24 00892 g001 550
Figure 1. Antibiotics that closely resemble the properties set up by the ideal antibiotic (prodrug) model. (A): metronidazole; (B) ethionamide (ETH); (C) isoniazid (INH); D: pyrazinamide (PYR).
Figure 1. Antibiotics that closely resemble the properties set up by the ideal antibiotic (prodrug) model. (A): metronidazole; (B) ethionamide (ETH); (C) isoniazid (INH); D: pyrazinamide (PYR).
Molecules 24 00892 g001
Table
Table 1. Overview of various discovery platforms for antibacterial drugs [38,45,46].
Table 1. Overview of various discovery platforms for antibacterial drugs [38,45,46].
PlatformBrief Description of Pros and ConsCompounds in Clinical Practice (Examples)
Domagk-platform/In situ screening-platform
  • Screening the efficacy of antimicrobial compounds at the site of infection (with the use of infection models; e.g., in an in situ mouse model or in a Caernorhabditis elegans worm model [47,48])
  • Detects prodrug compounds that would be missed by high-throughput screening and validation approaches [49]
  • Ethical considerations (related to the use of animal models)
Sulfonamides (sulfamidochrysoidine)
Waksmann-platform/Natural products-platform
  • Screening for secondary metabolites in soil microorganisms (Streptomycetes) with antibacterial activity [50]
  • Main discovery platform in the golden era of antibiotic discovery [51]
  • Background of known compounds during screening presents a major issue [45]
  • Experiments are ongoing with the activation of “silent operons” in microorganisms [52]
  • Focusing on uncultured microorganisms (representing 99% of total microbial diversity) and compound de-replication (using mass spectrometry and nuclear magnetic resonance (NMR)) are promising approaches [53]
  • Screening for antibacterial compounds from plant and marine origins represents an untapped resource of potential drugs [54,55]
Penicillin (First antibiotic discovered)
Streptomycin (First drug active against tuberculosis (TB))
Daptomycin (MDR Gram-positives)
Fidaxomicin (Clostridioides difficile)
Species-selective platform
  • Screening against a specific bug, resulting in compounds that act selectively against that pathogen [56]
  • Requires a target that is innate and specific to microorganism
  • Lower probability of toxicity in the human host
  • New compounds will not affect commensals in the gut [57]
Bedaquiline F1F0-ATPase-inhibitor in Mycobacterium tuberculosis complex
Ethambutol Arabinosyl-transferase-inhibitor in Mycobacterium tuberculosis complex
High-throughput screening (HTS)
Combinatorial chemistry (CC)
Rational drug design (RDD)
  • Screening of public/commercially available libraries of compounds against bacterial strains and/or defined prokaryotic targets (ligand–target binding assay, specificity tests) [58]
Oxazolidinones Inhibitors of protein synthesis by interfering with the ribosomal 50S subunit
Antimicrobial peptides (AMPs)
  • Use of small-sized, positively charged, amphipathic molecules synthesized by plants, animals or other bacteria [59]
  • They play an important role in innate immunity in humans (e.g., defensins) [60]
  • Structurally, they may be α-helices, β-sheets or extended coils, all with different mechanisms of action [61]
  • Toxicity in humans in higher concentrations [61]
  • Difficulties in formulation [62]
No AMP has been approved yet for clinical use
Resistance reversing compounds
  • Compounds affecting a defined mechanism of bacterial resistance, e.g., antibiotic-degrading enzymes, efflux pumps [3]
  • Strains that are resistant to specific antibiotics may be sensitized, maintaining the efficacy of current drug pool [63,64,65]
  • The clinical relevance of efflux pump inhibitors (EPIs) is hard to determine
Beta-lactamase inhibitors (clavulanic acid, sulbactam, tazobactam, avibactam etc.)
No EPI has been approved yet for clinical use
Virulence modulation
  • Compounds targeting expression and/or activity of bacterial virulence factors (capsule, toxins, fimbriae, biofilm) essential in their pathogenesis [66,67]
  • Various small-molecule compounds (e.g., quorum sensing-inhibitors) and monoclonal antibodies have been described [68,69]
  • Selective pressure to develop resistance is not present [68]
  • The clinical relevance of virulence modulators is hard to determine
No virulence modulator has been approved yet for clinical use
Table
Table 2. Summary of the properties of the ideal antibiotic.
Table 2. Summary of the properties of the ideal antibiotic.
Drug-SpecificPathogen-Specific
Available for oral administrationBroad-spectrum bactericidal activity (including Gram-positive and Gram-negative bacteria, Mycoplasma/Ureaplasma ssp. and intracellular pathogens)
Acts as a prodrugAntibacterial activity against persisters and pathogens in biofilms
Class I in the Biopharmaceutical Classification SystemActivity at very low (nanomolar) concentrations
Accumulation in macrophagesUseful in hard-to-reach infected sites, e.g., abscesses, central nervous system (CNS), bone tissue
No teratogenic effects (safe in pregnancy, lactation and childhood)Acts on multiple, unrelated, essential bacterial targets
No drug–drug interactionsForms irreversible covalent bonds inside bacterial cells (ruling out drug efflux)
The drug is excreted from the body unchanged

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Gajdács, M. The Concept of an Ideal Antibiotic: Implications for Drug Design. Molecules 2019, 24, 892. https://0-doi-org.brum.beds.ac.uk/10.3390/molecules24050892

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Gajdács M. The Concept of an Ideal Antibiotic: Implications for Drug Design. Molecules. 2019; 24(5):892. https://0-doi-org.brum.beds.ac.uk/10.3390/molecules24050892

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Gajdács, Márió. 2019. "The Concept of an Ideal Antibiotic: Implications for Drug Design" Molecules 24, no. 5: 892. https://0-doi-org.brum.beds.ac.uk/10.3390/molecules24050892

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