Review Article Volume 8 Issue 4
Department of Biochemistry, Adekunle Ajasin University, Nigeria
Correspondence: Oluwaseun Fapohunda, Department of Biochemistry, Adekunle Ajasin University, Akungba Akoko, PMB 001, Nigeria, Tel +2347062998896
Received: August 03, 2020 | Published: August 31, 2020
Citation: Akinwotu ST, Fapohunda O. War against antimicrobial resistance. J Microbiol Exp. 2020;8(4):148-154. DOI: 10.15406/jmen.2020.08.00300
Resistance to antimicrobials is a global threat that demands immediate response. The excessive use and misuse of antimicrobials has led to the development of multidrug resistant strains of microorganisms. As the consumption rate of these drugs increases, the resistance rate also increases, resulting in high cost of medical treatment and increased mortality rate. To war against antimicrobial resistance, the biochemical and genetic mechanism of resistance in microorganisms is a key factor to be considered. Recent articles from reputable journals/archives including PubMed, Scopus, Google Scholar, ResearchGate etc were retrieved and studied and we discovered that much have been researched on the importance of drugs in the treatment of antimicrobial resistance and in recent decade researchers have been delving into important botanicals that could address multidrug resistance with several opinions. Researchers have opinionated that phytoconstituents could be potential drugs that would address antimicrobial resistance with little or no side effect and they are relatively cheap and readily available to low-income people. However, the future is largely going to be machine driven and little have been reported on the emerging technologies that could adequately tackle this menace of antimicrobial resistance. Here we succinctly discussed how some of these promising technologies could be employed in combating the resistance of microorganism to antibiotics; the use of vaccine technologies, the use of Artificial Intelligence coupled with machine learning algorithms, the use of nanosystems and the use of CRISPR-cas technology.
Keywords: antimicrobial resistance, multidrug resistance (MDR), vaccine technologies, artificial intelligence, CRISPR-cas
Antimicrobial resistance (AMR) refers to the capacity of a microbe to inhibit the action of a drug/medication that has once efficiently treated a microbe.1 The phrase antibiotic resistance is a subclass of AMR which involves the resistance of bacteria to antibiotics. There is difficulty in treating resistant microbes because they require increase in doses of antimicrobials or other options of medications. The resistance of microorganisms (e.g. bacteria, viruses, fungi and parasites) occurs when there are changes as a result of exposure to antimicrobial drugs like antifungals, antibiotics, antivirals, anthelminthics, antimalarials etc. Microorganisms are sometimes referred to as “superbugs” because of their ability to give rise to antimicrobial resistance.2,3 Rocha and co-workers4 reported the public health concern in the rising factor of antimicrobial resistance and one of the vital warfare to combat this resistance is Antimicrobial Stewardship, but explicit action on its effects is not strongly evident. According to the report made by CDC, every year in the United States, the rate of antibiotic resistant infections is over 2.8 million which results to the mortality of over 35,000 individuals.2 Rapid increased number of multidrug-resistant (MDR) microbes threatens the modern antimicrobial therapy, with the defect in the technical innovation which is an obstacle in the advancement of new drugs to combat resistance rising rate.5 Medicine, plants and production of animals have been completely revolutionized by antibiotics. Furthermore, the prevention of infection and its control, the use of antimicrobials with gaps, incorrect use, excessive use, absence of standard medicine with quality and non-sufficiency in investment have caused gamble in the progress of treating infectious diseases.6 As the rate of antibiotics consumption increases, there is also an elevated resistance to treatment in microorganisms. Modern healthcare which is solely dependent on efficient antibiotics coupled with medical operations of great standard to hinder and cure infections is weakened by Antibiotic resistance.7 The knowledge of biochemistry and genetics of resistance is significant in composing plans and developing technologies that will shorten how resistance spreads, and its sudden uprising. It will also help to design a forward-looking curative solutions in opposition to MDR organisms.8
Understanding the biochemical and genetic basis of how microbes resist antimicrobials will help a long way to fight the war against Antimicrobial Resistance. Microorganisms such as bacteria, virus, fungi and parasite exhibit different mechanisms to cause resistance to antimicrobials. Some of these mechanisms are discussed below:
In bacteria
Antibiotics undergo resistance when in contact with bacteria and this is accomplished in four major ways: (1) limiting drug uptake; (2) drug target modification; (3) drug inactivation; (4) drug efflux pumps. The mechanism of resistance used by gram negative bacteria varies from that of gram positive bacteria. All the four mechanisms of resistance are used by gram negative bacteria while gram positive bacteria uncommonly use limiting drug uptake (because of the absence of lipopolysaccharide on the outer membrane) and do not have the ability to carry out some types of drug efflux pump mechanism.9
In viruses
Viral infections are treated with some unique antiviral drugs to reduce the load of the virus in the body system (Viral Load). Antiviral drugs hinder viruses from replicating by the inhibition of the cycle of target e.g. some serve as protease inhibitors, reverse transcriptase inhibitors, integrase inhibitor, polymerase inhibitor etc. Viral infection like hepatitis B, Hepatitis C, HIV, influenza etc. are treated with antivirals e.g. lamivudine, nevirapine, cidofovir, efavirenz, ribavirin, duranavir etc. Some of these virus strains have created resistance towards the drugs prescribed.15 Antiviral resistance is caused by gene a mutation that codes the drug target protein.HIV antiviral resistance is difficult to overcome; even the strains of multi-drug resistance have developed. HIVResistant strains arise quickly when only one antiviral drug is being used. A form of therapy refers to as combination therapy which involves the use of three or more drugs concurrently have gone a long way in helping the control of this resistance. Moreover, brand new drugs are necessary because strains of HIV drug-resistance are developing continually.16
In fungi
Fungal infections cause elevated unwholeness and death rate in individual with compromised immune system. Aspergillus fumigatus, Candida and Cryptococcus neoformans cause most of the fungal infections with an occurrence of resistance in them all. Treatment of individuals with compromised immune system has resulted into an increased level of Multidrug resistance in fungi due to the extensive use of antifungal drugs.17 Antifungals that are majorly prescribed are classified into three types which are the polyenes, echinocandins and azoles. Pores are produced in the cell membrane of fungi when in contact with Amphotericin B and other polyenes resulting to fungi cell death. Inhibitionof C14-α sterol demethylaseand disruption the structure of the fungal cell membrane is caused by fluconazole and other azoles. The synthesis of cell wall in fungi is destroyed by inhibiting β-1,3-D-glucan synthesis bycaspofungin and other echinocandins. A study in 2017 shows that the mechanism of resistance to fluconazole in C. auris is by point mutation and the number of ERG11 gene which codes for 14α-lanosterol demethylase in the biosynthetic pathway of ergosterol increases.18
In parasite
Human pathogens like plasmodium, leishmaniasis, trypanosomiasis etc. are protozoan parasites that give rise to diseases. Parasites of malaria have created resistance to anti-malarial drugs e.g. artemisin in which resulted into the continuous development of new drugs with high efforts.19 Protozoan parasites undergo adaptation and resistance to many standard drugs. These adaptations include reduction in drug uptake (diminazene aceturate in T. brucei), metabolic bypass up-regulation (e.g. methotrexate in Leishmania), failure in prodrug activation (e.g. nifurtimox in T. cruzi), increase in drug efflux (e.g. chloroquine in malaria), failure in target production and target enzyme mutation (e.g. antifolates in malaria). Drug resistance for some drugs happens faster than for others despite the different mechanisms with which protozoa can develop resistance. In some cases, gene mutation or deletion is enough for disrupting the sensitivity of drugs, followed by secondary mutation to develop resistance of higher level.20
Public health factors contributing to antimicrobial resistance
The use of vaccine technologies
The availability of technologies today can aid in the development of vaccines that can proffer solutions to antimicrobial resistance. Antimicrobial resistant vaccines are one of the major vaccines that can be developed technically. The comprehensive and the most promising technologies to combat Antimicrobial resistance are described below:
The use of artificial intelligence application with machine-learning algorithm
Artificial Intelligence (AI) involves the use computer programs to reproduce human level of intelligence, knowledge and conscience. This has a great success in science and also for the development of new drugs. Massachusetts Institute of Technology (MIT) researcher makes use of pioneering machine learning algorithm to discover new kinds of antibiotics from 100 of millions molecules in the year 2019. Within this approach, the AI programme discovered one (Halacin), the first antibiotic discovered, which target a broad array of bacteria, involving tuberculosis and strains regarded as impossible to treat. Though, AI has been used before in the discovery process of antibiotics, but this was the first time new types of antibiotics has been discovered from the scratch outside former assumptions by human. The use of computer model for in silico examination is not a new approach, but until now, the accuracy of this model was not sufficient to change the discovery of drug. It deserves to say that small number of antibiotics has been created in the last decade and many of these antibiotics exhibits little difference from the ones that exists. Computer models in the past were not accurate enough to change greatly the discovery of drugs. Beforehand, chemical molecules were portrayed as vector showing that a certain group of chemical molecules is present or not, but the recent neutral networks modify the situation drastically. Neutral networks are algorithms designed like the human brain to identify patterns. They explain sensory data by a form of machine cognition, grouping and labelling raw input data. They can also study these illustrations in an automatic manner and mapping the molecules into vector which are afterwards used to forecast their attributes.43 Lui and co-workers44 carried out a research by applying the Support Vector Machine (SVM) and Set Covering Machine (SCM) algorithm to precisely foretell their phenotypic appear ance versus five agents of antimicrobial which are: Tetracycline, Ampicillin, Sulfisoxazole, Trimethoprim, and Enrofloxacinfrom the whole genomes of 96 isolates of A. pleuropneumoniae. Amidst the five agents of antimicrobial, the resistant activity of A. pleuropneumoniae versus tetracycline is more difficult than the others. 58 phenotype resistant strains were available, with 50 isolates transporting tet (B), 5 isolates transporting tet (H), and in 3 isolates, the resistance genes of tetracycline were not noticed.44
The use of nanosystems
Nanomedicine (medicine of nanoparticles) plays a significant role in heightening ability of therapeutics in existence by developing the physicochemical properties and antibiotics stability, putting forth an opportunity of biofilm internalization, delaying the distribution of antibiotics, as well as the ability of the delivery Target to the site of infection and consequently enhancing the circulation within the system with a decline of side effects in respect to the related free drugs.45 The main factors that influences the important process of nanosystems such as bio-distribution, intracellular uptake or clearance are the physicochemical properties, surface charge, particle size and solubility. Nanoparticles allows good drug development ability of both lipophilic (lipid soluble) and hydrophilic (water soluble) antibiotics and thus improve antibacterial effects.46 As well as more anticipated, cellular internalization of the antibiotics loaded nanosystems was accomplished by passing of the reticulo-endothelial system.47 The charge on the surface of nanosystems and the zeta (ζ)-potential motivates proteins interactions, interactions with various parts of tissues which in turn affect its bio-distribution within the cells and uptake. Host cells e.g. macrophages with negatively charged nature have affinity for positively charged nanosystems in comparison with the negatively charge and ones with no charge.48 The properties of nanosystems not to be soluble in water (hydrophobicity) show an important function in drug delivery targeting which is in relation to the interactions with phospholipid layer of the bacterial cell membrane.45 On the other hand, nanosystems that have the ability to dissolve in water (hydrophilic) attract less with opsonins and in turn making the circulation of blood long in comparison with hydrophobic nanosystems.49 As a result, the improved activity of nanosystems in the system delivery of antibacterial drugemerges from different mechanisms which includes their capacity to enhance the physicochemical properties of the entrapped antibacterial drugs, their favoured retention around the cytoplasm, their electrostatic affection towards the bacterial cell membrane, elevated oxidizing ability and production of ROS (reacting oxygen species), the prevention of unwelcomed interactions, coverage of antibacterial drugs to avoid degradation and the well use of antibacterial drugs through patient more acceptable pathway.50 It is quite interesting that nanoparticles do not only enhance antibacterial agents activity but also curb the development of resistance by having breakthrough over the resistance strategy developed by bacteria which involves the decomposition of drug by β-lactaoamase, making bacterial cell wall thick etc.51 Reports have shown that antimicrobial peptides (AMPs) can also serve as delivery medium for compounds of great biological effects.52 The making of hybrid peptides in which an AMP is capable of passing through membranes is joined with another AMP which has the capacity of acting within the cell after been transferred to the membrane. This can be a breakthrough in the enhancement of antibacterial activity of present AMPs.53 More complicated peptidic systems are referred to as antimicrobial peptide dendrimers (AMPDs), based on branched polymers consisting of several peptides covalently joined to a core. These polyvalentimitative peptide have acquired mental focus in the previous years over because of their elevated antibacterial activity, increased resistance to degradation, likely because of significant steric hindrance, with the increased concentration of bioactive units per dendrimer molecule.54 In times ahead, the merger of AMPDs with any other nanoparticles may make even more efficient and inspiring combat in against multidrug resistant infections.53
The use of CRISPR-Cas technology system
The term CRISPRs (clustered regularly interspaced short palindromic repeats) refers to the adaptive immune systems that are originated from bacteria and archaea. This system (CRISPR–Cas) make use of RNA to recognize its target DNA and the Cas enzyme to gradually destroy the nucleic acids, so their requirement is only one protein for binding purpose and cleavage purpose.55 CRISPR-cas system degrades foreign genetic elements in three steps. The first stage is Adaptation or spacer acquisition in which the spacer sequence after recognition is fused into the array of CRISPR. The second stage is biogenesis or expression of CRISPR RNA (crRNA) which involves the transcription of pre-CRISPR RNA (pre-crRNA) catalyzed by RNA polymerase. The pre-crRNA is then cleaved into few numbers of crRNA which are also known as guide RNAs by specific enzymes referred to as endoribo nucleases. The last step is the Interference in which crRNAs recognize and form base pair specific to foreign RNA or DNA and are complementary to each other resulting to the cleavage of the foreign crRNA nucleic acid complex. However, if mutation occurs in the proto-spacer adjacent motif (PAM) or there is mismatch in between the spacer and invader’s DNA, it will result in the termination of the cleavage and the host is vulnerable to infection.56 The mechanism of CRISPR-Cas system, its region and the Cas genes contents are grouped into three (3) main types (I, II and III) and eleven(11) subtypes (I-A to I-F, II-A to II-C, and III-A to III-B). The most studied system is Type II system and its mechanism is the most illustrated system among the three systems.57 Various studies have proved the involvement of CRISPR-cas system in antimicrobial resistance e.g. this system enhanced the promotion of envelope integrity of F. novicida by the regulation of Bacteria Lipoprotein leading to the growth of resistance in contrast to several membrane stressors, involving antibiotics.58 Another study reveals the relationship between competence systems (which promotes acquisition of genes) and CRISPR system. For example, Aggregatibacter actinomycetemcomitans competent strains possess CRISPR-cas systems while CRISPR immune system was lost in non-competent bacterial strains.59 This shows that the development of competence system and CRISPRs enhances the rise of genes of different species in bacteria.56 Two studies illustrated that CRISPR-Cas9 gene can be transported utilizing plasmids packaged in phage capsids referred to as phagemids to selectively terminate the bacterial pathogens; E. coli and Staphylococcus aureus.60 However, there are challenges faced with the use of CRISPR-Cas system to war against AMR, but there are solutions to tackle some of these challenges. The most persistent challenge facing this system is discovering suitable delivery vector that is engineered for its distinct purpose. For instance, phage-mediated delivery can possibly been option in acute infection. Although, strains of the same bacterial species frequently change in phage susceptibility, and different delivery vector will be suitable.61 Kiga and co-workers62 used the motley RNA cleavage capability of CRISPR-Cas13a by means of recognizing target RNA by CRISPRRNA (crRNA), which leads to death in the host cell to spawn a new form of sequence-specific bacterial antimicrobials. For the delivery of CRISPR-Cas13a to its bacteria of target, CRISPRCas13a was packaged into the carrier phage capsid utilizing phage-inducible chromosomal island (PICI) packaging system for E. coli, and S. aureus Pathogenicity Island (SaPI) packaging system for S. aureus. Because synthesized CapsidCas13a does not transport phage genome, but is a part of the categories of nucleic acids drug or gene drug, which will be out into use as a therapeutic drug.
Though, there are still some effective antimicrobials, but the rate of developing resistance to them is high, thus, the use of technologies to war against antimicrobial resistance is inescapable. Using vaccine technologies (reverse vaccinology, structural vaccinology, phage therapy and antibody therapy) will bring succor in developing vaccines technically to effectively treat AMR. The only technique required in reverse vaccinology is the organism whole genome sequence which can be screened for homology. The whole genome sequence is needed for epitopes and other proteins prediction which is a significant requirement for candidate vaccine development. Also, combining phage therapeutics with antibiotics shows a promising approach for drug development in combating antimicrobial resistance. Artificial Intelligence with machine learning algorithm had shown great potential in targeting wide array of bacteria which will improve the development of antimicrobials with no strains of resistance. Also, the use of nanoparticles as antimicrobials to target the delivery site will be of great significance to combat resistance. CRISPR-cas technology has a striking enthusiasm in circumventing the challenges faced with antimicrobial resistance. These approaches have illustrated how resistant microorganisms can be tackled to enhance the advancement of antimicrobials.
None.
Authors declare that there is no conflict of interest.
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