Potential and use of bacterial small RNAs to combat drug resistance: a systematic review.

BACKGROUND: Over the decades, new antibacterial agents have been developed in an attempt to combat drug resistance, but they remain unsuccessful. Recently, a novel class of bacterial gene expression regulators, bacterial small RNAs (sRNAs), has received increasing attention toward their involvement in antibiotic resistance. This systematic review aimed to discuss the potential of these small molecules as antibacterial drug targets.
METHODS: Two investigators performed a comprehensive search of MEDLINE, EmBase, and ISI Web of Knowledge from inception to October 2016, without restriction on language. We included all in vitro and in vivo studies investigating the role of bacterial sRNA in antibiotic resistance. Risk of bias of the included studies was assessed by a modified guideline of Systematic Review Center for Laboratory Animal Experimentation (SYRCLE).
RESULTS: Initial search yielded 432 articles. After exclusion of non-original articles, 20 were included in this review. Of these, all studies examined bacterial-type strains only. There were neither relevant in vivo nor clinical studies. The SYRCLE scores ranged from to 5 to 7, with an average of 5.9. This implies a moderate risk of bias. sRNAs influenced the antibiotics susceptibility through modulation of gene expression relevant to efflux pumps, cell wall synthesis, and membrane proteins.
CONCLUSION: Preclinical studies on bacterial-type strains suggest that modulation of sRNAs could enhance bacterial susceptibility to antibiotics. Further studies on clinical isolates and in vivo models are needed to elucidate the therapeutic value of sRNA modulation on treatment of multidrug-resistant bacterial infection.

Introduction

The presence of drug resistance in causative microbes is responsible for excessive mortality and length of hospital stay.1 In a matched cohort comparing bacteremic patients with third-generation cephalosporin-resistant Escherichia coli to those with -susceptible isolates, the former exhibited nearly fivefold increased risk for death in 30 days and had an excessive length of stay of 5 days attributable to infection with a resistant bacteria.2 In critically ill patients, the 28-day mortality rate was twofold higher for patients infected with resistant bacteria comapred with those infected with a susceptible strain.3,4

The presence of resistant microbes limits the choice of antimicrobial chemotherapy. Traditional antimicrobials inhibit the essential synthesis of bacterial components, such as cell wall, membrane, and proteins.5,6 These involve a sophisticated network of enzymes encoded by multiple gene loci. Genetic sequence alteration of these loci is one of the mechanisms through which drug resistance is developed.7 8 These may involve synthesis of a novel protein altering the affinity to an existing drug or a novel enzyme, which is able to replace the functional enzyme otherwise inhibited by an antibiotic.9 Alternatively, drug resistance can be spread horizontally through conjugation, which transfers the drug resistance gene from the donor cell to the recipient cell by directly connecting cell surfaces with pili or adhesins.10,11

This traditional gene-protein paradigm in development of antibiotic resistance has recently been challenged by the recognition of an intermediate nucleotide, the small bacterial regulatory RNAs. The small RNAs (sRNAs), also known as regulatory sRNAs, exist in bacteria with a length of 50–500 nucleotides.12 Based on base-pairing algorithm, they are classified into cis- and trans-encoded sRNAs. Cis-encoded sRNAs are transcribed from the same loci as the mRNAs on the opposite strand of DNA and bind to their cognate mRNA targets with perfect complementarity, resulting in either transcriptional termination or translational initiation.12 Their actions are independent of chaperone. On the other hand, trans-encoded sRNAs do not display high specificity to a given mRNA. Instead, a given trans-encoded sRNA interacts with multiple mRNA targets.13,14 These trans-sRNAs are functionally dependent on chaperones.15 Hfq and CsrA are essential chaperones for the activity of numerous trans-sRNAs. When Hfq and CsrA activity were inhibited and subsequently inhibited their downstream sRNA networks, bacterial infectiveness and susceptibility to antibiotics were reduced.16,17 The distribution of cis- and trans-sRNAs differs between Gram-positive and Gram-negative organisms.18 The biological mechanism of sRNA has been comprehensively reviewed.14 These sRNAs are important in controlling bacterial gene expression in response to extracellular stress and maintaining microbial cell homeostasis.19,20 By complementary binding to C-terminus of RNase or a promoter region of a transcription factor, the sRNA molecule either actively degrades the encoded proteins or halts the transcription of the encoded proteins.21,22

Accumulating evidence suggests that sRNA is differentially expressed in bacterial transition from colonization to active infection23,24 and may represent one of the mechanisms for the organism to adapt to the changing environment as disease develops.25 Environmental stress such as exposure of antibiotics contributes to the physiological change of bacterial cells. Exposure of selective bacterial strains to antibiotics has revealed a panel of differentially expressed sRNAs.26–29 More importantly, overexpression of some of these sRNAs increases antibiotic susceptibility of the otherwise highly resistant bacterial strains.30,31 In this review, we performed a systematic search of the literature to discuss the therapeutic potential of these sRNAs in combating against the big problem of multidrug-resistant bacterial infection.

Methods

Literature search

We performed a search of published literature indexed in three electronic bibliographic databases: PubMed Medline, Web of Knowledge, and Embase. These search engines have previously been reported for use in systematic search.32 The search terms included a combination of “antibiotic resistance”, “riboswitch”, and “bacterial small RNA”. Manual search of relevant articles was performed to identify other relevant articles. The details of manual search are as follows: titles of the studies were screened for match with predesigned inclusion criteria. The duplicate studies were eliminated among three databases. After that, abstracts of the eligible studies were screened by two authors and full-text articles were evaluated to determine whether they fulfilled the eligibility criteria. Publications from inception to October 2016 were included. Two authors (HC and JH) performed the literature search and eligibility assessment independently. Disagreements were resolved by consensus or discussion with senior authors. We followed suggestions from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to conduct the literature search.32

Selection criteria and data abstraction

We included all in vitro and in vivo studies deciphering the role of bacterial sRNAs in antibiotic resistance. Review articles, editorials, commentaries, conference abstracts, and book chapters were excluded. Studies reporting bacterial ribosomal RNAs or other RNAs outside the 50–500 nucleotides range were excluded.

HC performed the data abstraction, which was then verified by another researcher (JH). The following data were abstracted: author, year of publication, sample size, methods for detecting sRNAs, antibiotics used, and functional determination of sRNAs (Table 1).

Table 1

Summary of the included studies

References	Methods for sRNA detection	Sample size	Small RNA	Bacterial species	Target site of sRNA	Antibiotics	Key findings
Molina-Santiago et al26	RNA sequencing genome analysis Gene ontology analysis	NA	NA	Pseudomonas putida (DOT-T1E)	NA	ChloramphenicolRifampicinTetracyclineCiprofloxacinAmpicillinKanamycinSpectinomycinGentamicin	Small RNA fine-tuned the expression of antibiotic resistance genes
Howden et al27	RNA-seq	Not mentioned	Not mentioned	Staphylococcus aureus	NA	VancomycinLinezolidCeftobiproleTigecycline	Antimicrobial-responsive small RNA associated with the ribosomal functions and protein synthesis
Yu et al28	Quantitative real-time PCR (qPCR) Northern blots	3	sYJ75	Salmonella enterica serovar Typhimurium SL1344	Iron-enterobactin transporter periplasmic binding protein related genes	Tigecycline	sYJ75 regulated enterobactin transport and metabolism
Chen et al29	qRT-PCR Northern blots	≥5	sCAC610	Clostridium genus	ABC transporter genes	Clindamycin	sCAC610 adjusted downstream of ABC transporter genes and efflux pump functions
Kim et al30	DNA sequencing qRT-PCR Northern blots	3	RyeB	Escherichia coli	MutsTolCDnaKLpxL	Levofloxacin	RyeB enhanced the therapeutic effect of levofloxacin against MDR strains
Ramos et al31	Northern blots Electrophoretic mobility shift assaysWestern blots Reverse transcription- PCR	≥12	MtvR	Escherichia coli Pseudomonas aeruginosa	uhpAuhpT	TetracyclineChloramphenicolCiprofloxacinTobramycinGentamycinAmpicillin	MtvR increased the sensitivity of antibiotics
Liu et al35	β-lactamase assay	3	Riboswitch with theophylline-specific aptamer sequence	Escherichia coli	β-lactamase gene	AmpicillinRifampinCarbenicillinCiprofloxacinErythromycinAmoxicillinCefamandoleCefoxitinCeftazidimeCephalexinPiperacillinChloramphenicolNalidixic acidFusidic acidGentamicin	Regulated β-lactamase gene expression to decrease the antimicrobial susceptibility
Sharma et al36	qPCR Northern blots RACE	NA	AbsR25	Acinetobacter baumannii	AIS_1331	Excluded	AbsR25 negatively regulated the efflux pump and transporter
Johnson et al37	Northern blots qRT-PCRWestern blots Random mutagenesis	≥3	Anti-Q	Enterococcus faecalis	prgQ conjugation operon	Excluded	Anti-Q repressed the conjugation among bacteria
Jia et al38	5′ leader RNA sequence Native gel electrophoresis Crosslinking analysis	3	Aminoglycoside-binding riboswitch	Five aminoglycoside resistance genes sequence was used including acetyl transferase, phospho transferase, adenyl transferase, rRNA methyl transferase, and efflux pump genes	Aminoglycoside acetyl transferase (AAC) and glycoside adenyl transferase (AAD) resistance genes	Kanamycin BSisomycinRibostamycinNeamine	Aminoglycoside-binding riboswitch involved in encoding two aminoglycoside antibiotics degrading enzymes AAC and AAD
Baisa et al39	PCR d-alanine dehydrogenase assays	3	GcvB	Escherichia coli	cycA	D-cycloserine	GcvB involved in the repression of cycA gene which encoded an enzyme for antibiotics D-cycloserine
Knopp et al41	qRT-PCR In-gel digestion LC-MS	3	ChiX	Escherichia coli	chiP	AmikacinAmpicillinAzteronamCefaclorCefpiromeCefuroximeChloramphenicolCiporfloxacinColistinErythromycinKanamycinMecillinamMupirocinNalidixic acidTetracyclineSulfamethoxazole	ChiX increased the loss of Chip porins which conferred the antibiotic resistance.
Khan et al42	Northern blots Large-scale liquid culture	3	GlmY and GlmZ	Escherichia coli	glmS	Bacilysin	GlmY/GlmZ system shaped the antibiotic resistance by reactivation of glmS enzyme in cell envelope synthesis
Chou et al43	Northern blots	3	micF encoded sRNA	Escherichia coli	ompF	BleomycinKanamycin	The soxRS mutations were controlled by the micF-encoded sRNA
Allen et al44	qPCR	3	small RNA regulator micF	Escherichia coli	acrDmdtAmdtB	CarbenicillinTetracyclineKanamycin	Small RNA regulator micF was irrelevant to the carbenicillin resistance in E. coli.
Parker et al45	Northern blotsWestern blotsPlasmid extraction	3	SdsR	Escherichia coli Vibrio choleraPseudomonas aeruginosa	tolc	AmpicillinNovobiocinRifampicinErythromycin	sdsR repressed the tolC gene expression for encoding multidrug-resistance efflux pumpsSdsR involved in the minimization of mismatch-repair mutation which resulted in antibiotics resistance
Eyraud et al46	Western blotsNorthern blotsToeprint assays	4	SprX	Staphylococcus aureus	SpoVG	VancomycinTeicoplanin	CU-rich domain of SprX resulted in vancomycin and teicoplanin glycopeptides resistance by inactivation of stage V sporulation protein G (SpoVG)
Jeeves et al47	Transcriptomic analyses qRT-PCR	Not mentioned	G2 MTS1082	Mycobacterium tuberculosis	efpA	Excluded	Antibiotic repressed the expression of sRNAs G2 and MTS1082 over time at a slow growth rate
Jackson et al48	Microarray qRT-PCR	3	NrrF	Neisseria meningitidisNeisseria gonorrhoeae	sdhAB	Excluded	NrrF promoted mRNA degradation which encoded antibiotic efflux pump
Kim et al49	qRT-PCR	3	RyhB-1	Salmonella typhimurium	acnAsodBftnSTM1273.1nacnB	AmpicillinNorfloxacin	RyhB-1 repressed the target gene to affect the sensitivity to antibiotics

Abbreviations: LC-MS, liquid chromatography-mass spectrometry; NA, data not available; PCR, polymerase chain reaction; qRT-PCR, quantitative real-time polymerase chain reaction; RACE, rapid amplification of cDNA ends; RNA-seq, ribonucleic acid sequencing.

Quality assessment of the included studies

The quality of the included studies was evaluated using a modified guideline from SYstematic review Center for Laboratory animal Experimentation (SYRCLE), an instrument based on the Cochrane Collaboration Risk of Bias tool.33,34 An item concerning random housing of animals was removed in the modified version. The remaining items assess selection bias, performance bias, detection bias, attribution bias, and reporting bias. These factors are common among in vitro and in vivo studies. Higher SYRCLE scores indicate better quality article. The maximum score is 9.

Results

The initial search for the literature using three search engines yielded 432 eligible articles examining the bacterial small regulatory RNAs in the modulation of antibiotic resistance. Based on screening of the titles, abstracts, and keywords, we excluded 29 duplicated entries, 46 reviews, and 337 studies that are irrelevant to bacterial sRNA and antibiotics resistance, in which 32% of the studies are related to small molecule–or protein-mediating activity in antibiotics resistance without mentioning sRNA, 26% to ribosomal RNAs in antibiotics resistance, 20% to the point mutation of bacterial strains without involvement of sRNA, 8% to a platform or method to screen or investigate the RNAs or protein in antibiotics resistance, and 4% to new antibiotic–resistant clinical isolates or species. Eventually, 20 articles were included in our systematic review (Figure 1).

Figure 1

Selection of relevant scientific literature for systematic review.

Overall, the SYRCLE scores ranged from 5 to 7, with an average of 5.9. This implies a moderate risk of bias (Table 2). None of the studies fulfilled the criteria for allocation concealment and experimental blinding. Four studies applied inadequate generation of allocation sequences.35–38 Several studies have demonstrated randomization for outcome assessment.26,27,39,40

Table 2

Summary of study quality assessment

References	Selection bias			Performance bias	Detection bias		Attrition bias	Reporting bias	Other	Total score
	Q1	Q2	Q3	Q4	Q5	Q6	Q7	Q8	Q9
Molina-Santiago et al26	1	1	0	0	1	1	1	1	1	7
Howden et al27	1	1	0	0	1	1	1	1	1	7
Yu et al28	1	1	0	0	0	1	1	1	1	6
Chen et al29	1	1	0	0	1	1	1	1	1	7
Kim et al30	1	1	0	0	0	1	1	1	1	6
Ramos et al31	1	1	0	0	0	1	1	1	1	6
Liu et al35	0	1	0	0	0	1	1	1	1	5
Sharma et al36	0	1	0	0	0	1	1	1	1	5
Johnson et al37	0	1	0	0	0	1	1	1	1	5
Jia et al38	0	1	0	0	0	1	1	1	1	5
Baisa et al39	1	1	0	0	1	1	1	1	1	7
Knopp et al41	1	1	0	0	0	1	1	1	1	6
Khan et al42	1	1	0	0	0	1	1	1	1	6
Chou et al43	1	1	0	0	0	1	1	1	1	6
Allen et al44	1	1	0	0	0	1	1	1	1	6
Parker et al45	1	1	0	0	0	1	1	1	1	5
Eyraud et al46	1	0	0	0	0	1	1	1	1	5
Jeeves et al47	1	1	0	0	0	1	1	1	1	6
Jackson et al48	1	1	0	0	0	1	1	1	1	6
Kim et al49	1	1	0	0	0	1	1	1	1	6

Notes: The quality of the included studies was assessed by a modified guideline for Systematic review Center for Laboratory animal Experimentation (SYRCLE) as previously reported.28,29 Each of the nine questions (Q1–A9) received one score if the study complied with the question concerned. Q1: Was the allocation sequence adequately generated and applied? Q2: Were the groups similar at baseline or were they adjusted for confounders in the analysis? Q3: Was the allocation adequately concealed? Q4: Were the caregivers and/or investigators blinded from knowledge of which intervention each experimental group received during the experiment? Q5: Were the experimental groups selected at random for outcome assessment? Q6: Was the outcome assessor blinded? Q7: Were incomplete outcome data adequately addressed? Q8: Are reports of the study free of selective outcome reporting? Q9: Was the study apparently free of other problems that could result in high risk of bias?

The species of bacteria included in the studies

First, we reported the species of bacteria that are related to the sRNAs. The role of sRNAs has been examined largely in laboratory reference strains but not in clinical isolates. There were no relevant in vivo or clinical studies. A wide range of bacterial species were investigated in these studies, including Escherichia coli, Acinetobacter baumannii, Pseudomonas aeruginosa, Vibrio cholera, Salmonella typhimurium, Enterococcus faecalis, Neisseria menin-gitidis, Staphylococcus aureus, and Clostridium acetobu-tylicum. Seven studies were performed on E. coli,30,35,39,41,44, three on Pseudomonads,26,31,45 and two on Salmonella spp.27,46 The remaining genera were examined by a single study.29,35,36,47,48

Experimental techniques for included studies to investigate bacterial sRNAs

Second, experimental methods are essential to explore sRNAs or its targets. We classified the experimental techniques used in the included studies. Five studies performed functional investigation on bacterial sRNAs by profiling their expression patterns after exposure of bacterial strains to specific antibiotics.26–29,47 The remaining articles employed genetic silencing and modulation approach to evaluate the role of sRNA. Antibiotic resistance-encoding genes were either deleted or introduced into the experimental strains.30,31,35–49 This was followed by overexpression of sRNAs of interest in order to detect changes of antibiotic susceptibility.35–49

Mechanism of sRNAs in antibiotics resistance

Third, we elucidated the mechaisms of sRNAs in antibiotics resistance. The modulation of antibiotic sensitivity by sRNAs is pertinent to the synthesis of efflux pump, cell wall, transporters, and outer membrane proteins. The role of sRNAs in antibiotic resistance is summarized in Table 1 and Figure 2. The biological mechanism of sRNA is depicted in Figure 3.

Figure 2

Small bacterial RNAs interact with canonical (in blue) and unknown mechanisms (in red) in acquisition of antimicrobial resistance phenotype. The pointed arrowheads denote putative stimulatory effect whereas the blunted arrowheads represent inhibitory actions.

Figure 3

The biological action of small bacterial RNAs. These molecules are classified into cis- and trans-encoded sRNAs. By binding to non-coding region of mRNA or a gene per se, sRNAs either activate or repress the expression of a given protein.

Abbreviation: RBS, RNA binding site.

The included studies have shown that regulated expression of bacterial sRNAs is important in sustaining antibiotic- resistant phenotypes and conferring bacterial survival advantage.26–31,47 Interestingly, experimental alteration of antibiotic-responsive sRNAs considerably increased bacterial susceptibility to various antibiotics.30,31,49

Discussion

Although new antibacterial agents have been developed in an attempt to combat drug resistance, this remains largely unsuccessful. As soon as a new agent enters the market, the targeted bacteria develop novel strategies to minimize their susceptibility, shortening the lifespan of newly introduced antibiotics. This warrants continuous search for novel bacterial targets with less likelihood to induce drug resistance.

Bacterial sRNAs are regulatory molecules in response to the constant changes of the surrounding environment.30,42,43 As such, sRNAs are important for bacterial adaptability in the presence of harmful substances. By translational bypassing, these short-sequence nucleotides respond promptly to antimicrobial challenge.14 With non-specific and imperfect binding to mRNAs, these sRNA molecules can modulate the activity of multiple mRNAs simultaneously.50 Given the essential pathways and multiple targets regulated by a given sRNA, modulation of this moiety may be a promising therapeutic approach with less likelihood of antimicrobial resistance development. This is because the sRNAs modulate the translation process of antmicriobial resistant genes instead of whole bacterial genome.51 In addition, sRNA targeting mRNA sequences distinct from those in humans will exhibit excellent selective toxicity. This will provide an alternative therapy to highly toxic antibiotics such as aminoglycosides.

sRNAs involved in mutation-induced antibiotic resistance

After exposure to antibiotics in sublethal concentration, bacterial growth is hindered and mutagenesis is favored.47,52 For instance, the expression of sRNAs G2 and MTS1082 in Mycobacterium tuberculosis was repressed at stationary phase of growth, which is associated with their antibiotic-tolerant phenotype.47 In E. coli, the presence of growth-limiting stressor induced a transcription factor known as RpoS regulon.52 This complex leads to subsequent expression of sdsR, an RpoS-dependent sRNA.52,53 This negatively regulated the ampicillin-induced mutagenesis by binding to mutS, an mRNA molecule encoding protein for mismatch detection.53

Pro-survival benefits via modulating sRNA expression

The sRNA molecule is important for bacterial survival in the presence of antimicrobial challenge. In Staphylococcus aureus, exposed to a combination of vancomycin, linezolid, ceftobiprole, and tigecycline, expression of specific sRNAs was prominent. The change in the expression of these sRNAs maintains protein synthesis and ribosomal function in the presence of antimicrobial challenge, thereby ensuring bacterial survival.26,27,31 Upon the exposure of antibiotics, genes coding proteins including metabolism, transport, transcriptional regulation, and ribosome proteins are unregulated.26 In the presence of tigecycline and tetracycline, sRNA sYJ20 was upregulated in Salmonella typhimurium. Deletion of sYJ20 reduced the bacterial survival rate upon exposure to tigecycline.28 sRNA sYJ20 regulated the antibiotic tolerance through modulation of tigecycline and tetracycline relevant encoding genes.

Increasing antimicrobial sensitivity by targeting sRNAs

Modulation of sRNAs has been shown to increase bacterial sensitivity to antibiotics. Experimental upregulation of sRNA, MtvR, enhanced the sensitivity of E. coli to tetracycline, chloramphenicol, ciprofloxacin, tobramycin, gentamycin, and ampicillin by two- to eightfold.30 In Pseudomonas aerugi-nosa, overexpression of MtvR significantly suppressed their growth upon exposure to chloramphenicol, ciprofloxacin, tetracycline, tobramycin, gentamycin, and ampicillin.31 Conversely, sRNA-induced modulation of antibiotic susceptibility was reversed by depletion of the respective sRNAs.30,31

In response to ampicillin and norfloxacin, the expression pattern of RyhB sRNA changed considerably in E. coli. Ampicillin and norfloxacin share common pathways in the production of highly deleterious hydroxyl radicals in the tricarboxylic acid cycle (TCA).54 The RyhB sRNA targets AcnA, a gene encoding the TCA cycle-related enzyme in E. coli.49,55 Perturbation of the TCA cycle-related enzymes triggers TCA cycle dysfunctions and subsequently makes bacteria less susceptible to β-lactam antibiotics by altering its cell surface properties.56

Although accumulating evidence has suggested that modulating sRNA expression alters bacterial susceptibility to antibiotics, these appear to be strain specific. In addition, laboratory reference strains may not reflect clinical situation as type strains likely behave differently from clinical strains.57 To extrapolate these findings into therapeutic drug development, the candidate sRNA should be universally responsive to a given antibiotic in different strains of the same bacterial genus, or at least be consistently responsive in the same species. Clinical isolates should be thoroughly tested with complete profile of pharmacokinetics and pharmacodynamics of the exogenous sRNA modulators established.

Reversal of efflux pump-mediated resistance

The presence of multidrug efflux pump represents one of the important mechanisms conferring antibiotic resistance. It prevents the accumulation of drugs in bacterial cells, enabling the bacteria to survive. In Acinetobacter baumannii, an efflux pump regulating sRNA-designated AbsR25 was initially recognized by its high hybridization energy.36 In E. coli, AcrAB-TolC represents a major efflux pump conferring multidrug-resistant phenotype.58 Deletion of tolC rendered the mutants more sensitive to antibiotics as compared to the wild-type counterparts.59 The sRNA sdsR, or alternatively known as RyeB, post-transcriptionally represses the expression of tolC by base-pairing with its 5′-untranslated region (5′-UTR).45 MicF represents another important sRNA which is presumably involved in the regulation of efflux pumps. The MicF is a two-component response regulator contributing to carbenicillin resistance. In E. coli, the sRNA MicF response regulator inhibited the transcription of the ompF gene encoding porins, which reduced the pore-forming antibiotics such as β-lactams to enter the cell interior.44 In Neisseria species, trans-acting sRNA NrrF played a crucial role in transcriptional control of efflux pump synthesis. Experimental overex-pression of NrrF decreased the antibiotic-induced expression of efflux pumps.48

Other transporters in bacteria were correlated with the efflux pumps and further implicated the antibiotic resistance in bacteria.60 In Clostridium acetobutylicum, the sRNA sCAC610 regulates ATP binding cassette transporter genes.29 In the presence of clindamycin, the level of sCAC610 was significantly upregulated. Bioinformatics analysis revealed that sCAC610 modulated efflux pump function through cis-regulation.29 D-cycloserine (DCS) is a second-line antibiotic for the treatment of multidrug-resistant Mycobacterium tuberculosis.61 In this organism, an sRNA molecule GcvB suppressed the expression of cycA, a gene encoding an enzyme for degradation of DCS.39,62

Collectively, targeted delivery of sRNA agonists or antagonists may represent alternative approach to combat against multidrug-resistant Enterobacteriaceae and tubercle bacilli.

Reversal of resistance to cell wall inhibitors

Resistance to cell wall synthesis inhibitors predominantly involves overproduction of degradative enzymes and formation of alternative membrane protein with low affinity to antibiotics. Penicillins and cephalosporins are major antibiotic classes under this category. Recently, it has been appreciated that some sRNAs are activated upon encountering cell wall synthesis inhibitors in an attempt to restore cell wall integrity. Bacilysin, a peptide antibiotic, inhibits glucosamine-6-phosphate synthase (GlmS) activity and thereby interferes with cell wall synthesis. However, suppression of GlmS by bacilysin in E. coli activates the expression of two sRNAs, namely GlmY and GlmZ, which in return restore the expression of GlmS, this resulting in a resistance phenotype.42 In this connection, co-administration of bacilysin with GlmY/GlmZ antagonist may reduce the therapeutic dose of the antibiotics concerned.

The increasing prevalence of methicillin-resistant Staphylococcus aureus with reduced susceptibility to vancomycin represents another important public health threat. To date, the mechanisms contributing to this non-susceptibility remain unclear, although point mutation and thickening of cell walls have been suggested.7 Comparative proteomic studies revealed that a small RNA molecule SprX inhibits the expression of stage V sporulation protein G (SpoVG), a moiety contributing to non-susceptibility to glycopeptides.46,62 It remains unclear under which condition this RNA molecule is activated. However, this suggests that co-administration of SprX activators with glycopeptides may reduce the likelihood of resistance development during therapy. Whether this combination results in synergy or antagonism will need to be elucidated.

Reversal of minimal membrane permeability-mediated resistance

One of the important mechanisms by which Gram-negative bacteria gain survival benefits in face of antibiotic challenge is reducing their outer membrane permeability to aqueous drugs by loss of porins.43,63 The control of the porins’ expression has been studied thoroughly in E. coli. It has been shown that mutation of soxRS reduced the expression of a major drug target porin, namely OmpF, through a sRNA molecule called micF.64 As such, inhibition of micF sensitizes bacteria to aqueous antibiotics.43 Serial passage of laboratory strains of E. coli has revealed the acquisition of an alternative porin called Chip in compensation for the loss of drug target porins OmpC and OmpF.41 Further molecular characterization led to identification of a sRNA known as ChiX, which downregulates the expression of Chip porins and restores the bacterial susceptibility to carbapenams.41

Reversal of other drug resistance mechanisms

Bacterial riboswitch is a cis-encoded sRNA situated at the non-coding region of mRNA.35,38,40 The aptamer domain of this RNA molecule binds to specific metabolites, thereby exerting post-transcriptional control of their expression.65,66 In Enterobactericeae, the presence of a riboswitch with theophylline-specific aptamer sequence mediates the production of a range of β-lactamases which further confer β-lactam antibiotic resistance.35 Therefore, β-lactam antibiotic resistance can be eliminated by reduction of this riboswitch activity. In aminoglycoside resistance, the major mechanism is attributable to the presence of nucleotidyltransferases, which modify the drug and render it ineffective. These enzymes are mainly encoded by aac and aad genes. The 5′ leader RNA, a riboswitch, of the aac/aad genes interacts with aminoglyco-sides and in turn activates the expression of the modifying enzymes.38,40,67 In this regard, development of an antagonist, which prevents the binding of aminoglycosides to the leader sequence, may be useful to avoid the development of inducible resistance. Alternatively, modification of side chains of the next-generation aminoglycoside can facilitate their interaction with 30S ribosomal subunit rather than the 5′ leader sequence leading to transcription of degradative enzymes.

Transfer of resistance determinants across bacterial species by conjugation has been increasingly recognized as a novel strategy by which bacteria acquire drug resistance.68 This may be an important reason, if not the only one, which accounts for epidemiology peculiarity of antibiotic resistance. In Enterococcus faecalis, a small RNA molecule called anti-Q has been shown to suppress the conjugation of the plasmid pCF10 by termination of prgX repression and prgQ conjugation operons.37

In this connection, conjugation suppressor sRNAs may be employed to prevent inter-bacterial transfer of resistance determinants. Development of air spray containing these suppressor molecules may be applicable for use in environments such as intensive care units to prevent interspecies transfer of resistance determinants.

Concluding remarks and future perspectives

Experimental studies using type strains have suggested that targeting sRNA increased their susceptibility to antibiotics in the otherwise resistance strains. Unlike conventional antibiotics, sRNA is a powerful master regulator in gene regulation which inhibited the translation of bacterial protein synthesis. sRNA has a great potential to develop as a novel drug or become a novel acceessory ingredient in medical use. Given multiple targets of a single sRNA molecule, modulating sRNAs in bacterial strains in vivo using bacteriophages or nanoparticles may be a promising therapeutic approach in clinical use. Co-administration of sRNA agonist or antagonist with conventional antibiotics may represent an alternative option to minimize the emergence of resistance during therapy. Further studies with clinical isolates and in vivo models are necessary to elucidate the real clinical situation and therapeutic potential of sRNA modulators.