Antibiotic innovation for future public health needs

Antibiotic innovation for future public health needs

Accepted Manuscript Antibiotic innovation for future public health needs Ursula Theuretzbacher PII: S1198-743X(17)30344-0 DOI: 10.1016/j.cmi.2017.0...

403KB Sizes 0 Downloads 108 Views

Accepted Manuscript Antibiotic innovation for future public health needs Ursula Theuretzbacher PII:

S1198-743X(17)30344-0

DOI:

10.1016/j.cmi.2017.06.020

Reference:

CMI 988

To appear in:

Clinical Microbiology and Infection

Received Date: 29 March 2017 Revised Date:

17 June 2017

Accepted Date: 19 June 2017

Please cite this article as: Theuretzbacher U, Antibiotic innovation for future public health needs, Clinical Microbiology and Infection (2017), doi: 10.1016/j.cmi.2017.06.020. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

ACCEPTED MANUSCRIPT 1

Antibiotic innovation for future public health needs

2

Ursula Theuretzbacher

3

Theme Issue

6

Eckpergasse 13, 1180 Vienna, Austria

7

[email protected]

8

+436503801518

9

Running title: Antibiotic innovation

10

SC

Center for Anti-Infective Agents

M AN U

5

RI PT

4

Key words: antibiotic, discovery, innovation, cross-resistance, resistance

AC C

EP

TE D

11

1

ACCEPTED MANUSCRIPT

Abstract

13

Background: The public health threat of antibiotic resistance has gained attention at the highest

14

political levels globally, and recommendations on how to respond are being considered for

15

implementation. Among the recommended responses being explored for their feasibility is the

16

introduction of economic incentives to promote research and development (R&D) of new antibiotics.

17

There is broad agreement that public investment should stimulate innovation and be linked to

18

policies promoting sustainable and equitable access to antibiotics. Though commonly used, the term

19

‘innovation’ is not based on a common understanding.

20

Aims: This article aims to initiate discussion on the meaning of ‘innovation’ in this context.

21

Sources: Literature and expert opinion

22

Content: As the definition of a novel class (novel scaffold, novel pharmacophore), a novel target

23

(novel binding site) and a novel mode of action – the three traditional criteria for ‘innovation’ in this

24

context – may be confounded by the complexities of antibacterial drug discovery, a biological and

25

outcome-oriented definition of innovation is presented to initiate discussion. Such an expanded

26

definition of innovation in this specific context is based on the overarching requirement that a drug

27

not be affected by cross-resistance to existing drugs in the organisms and indications for which it is

28

intended to be used, and that it have low potential for high-frequency, high-level single-step

29

resistance if intended as a single drug therapy.

30

Implications: Policy makers, public health authorities and funders could use such a comprehensive

31

definition of innovation in order to prioritise where publicly funded incentives should be applied.

32

Introduction

33

Recent national and international high-level policy initiatives highlight the growing awareness of the

34

increasing bacterial resistance to current antibiotics. This public health threat is receiving significant

35

political attention. Multiple concerted actions concerning human and animal health, as well as

AC C

EP

TE D

M AN U

SC

RI PT

12

2

ACCEPTED MANUSCRIPT pharmaceutical production and environmental sector policies, are recommended and need to be

37

implemented. Considered urgent are: robust surveillance globally, responsible and optimized use of

38

existing antibiotics, better infection control, increased research activities in the antibacterial field,

39

restricting antibiotic use in animals, limiting antibiotic pollution of the environment, and economic

40

incentives to stimulate and incentivize research, discovery and development of new antibacterial

41

drugs to fill the neglected pipelines [1]. Such incentives will require substantial public investment.

42

There is broad agreement that public investment should stimulate innovation and be linked to

43

policies that promote sustainable and equitable access to antibiotics. The critically needed

44

innovation in antibacterial drug discovery is expected to counteract the increasing trend of multidrug

45

resistant (MDR), extensively drug resistant (XDR) and even pan-drug resistant (PDR) pathogens,

46

especially Gram-negative bacteria as outlined in the recently published WHO priority pathogen list

47

for R&D [2]. The often-used term ‘innovation’ has been used in a broad and indiscriminate way and

48

has lost specific meaning. If policy initiatives are implemented, the requirement for innovativeness as

49

a prioritisation tool needs to be discussed and defined. Europe’s Innovative Medicines Initiative (IMI)

50

has financed a project, DRIVE-AB (i.e., Driving reinvestment in research and development for

51

antibiotics and advocating their responsible use, www.drive-ab.eu), to provide scientific evidence for

52

new reward models and to test the feasibility of their implementation [3]. If stimulating innovation in

53

antibacterial drug discovery and development is to be a major factor of economic incentives, there is

54

a need to reach a workable definition of ‘innovation’ and this is vital for matching public investment

55

with future public health needs. As priority-setting requires a broad discussion and consensus

56

considering the complexities of discovery, this article aims to initiate discussion on the meaning of

57

‘innovation’ in this context. The discussion is focused on conventional, directly acting, antibacterial

58

drugs that have not been used in human or veterinary medicine before worldwide. Other

59

approaches, such as preventive strategies, immunomodulatory, adjunctive therapies that target

60

virulence or resistance gene regulators, monoclonal antibodies, topical drugs and antibiotics against

61

Mycobacterium tuberculosis, are not covered in this article.

AC C

EP

TE D

M AN U

SC

RI PT

36

3

ACCEPTED MANUSCRIPT

Current clinical antibiotic pipelines and short-term perspective

63

Nearly all antibiotic classes we are using today were discovered during the Golden Age of antibiotic

64

innovation, which extended from the 1940s to the 1960s [4]. Numerous modifications to the initial

65

discoveries improved their utility and extended the life of these antibiotic classes. Efforts to modify

66

the chemical structures were focused on circumventing emerging class-specific target-based or drug-

67

modifying resistance mechanisms or on lower affinity for efflux pumps as well as improving

68

pharmacokinetics and extending the activity spectrum. The beta-lactam class exemplifies best the

69

success of this strategy. Methicillin and the isoxazolylpenicillins (Staphylococcal penicillins) were

70

introduced following the rising frequency in resistance to penicillin due to the production of

71

penicillinases. Third generation cephalosporins were introduced to solve the problem of beta-

72

lactamases like TEM, ceftriaxone enabled a once-a-day dosing due to its extended half-life, and

73

ceftazidime and ceftolozane included Pseudomonas aeruginosa in their Gram-negative spectrum.

74

Despite these successes, the ever-increasing range of beta-lactamases required an alternative

75

approach. The concept of a protector drug was born - the combination of vulnerable beta-lactams

76

with a beta-lactamase inhibitor. After a great success of the combinations amoxicillin/clavulanic acid

77

and piperacillin/tazobactam this concept has been revived and is still one direction of R&D efforts

78

(Figure).

79

The last years have seen a resurgence of discovery & development activities, mostly in small

80

companies, often with the concept of modifying compounds in existing classes using cutting-edge

81

methods to fix specific class-related resistance problems [5]. Basing a drug discovery project on a

82

well validated lead carries less risk than starting from scratch. Most antibiotics in clinical

83

development are modifications of classes that have been extensively used in human or animal health

84

(Figure). The downside of modifying known chemical structures is that, usually, multiple mechanisms

85

of resistance exist for every class of antibiotics and not all relevant resistance mechanisms can be

86

addressed by chemical modification. Some cross-resistance to existing antibiotics usually remains.

87

Thus, due to the selection of less common resistance mechanisms or the appearance of previously

AC C

EP

TE D

M AN U

SC

RI PT

62

4

ACCEPTED MANUSCRIPT unknown ones [6,7] modifications within existing antibiotic classes may only buy some time [8]. In

89

the long run, innovation is needed to find novel drugs without pre-existing cross-resistance that can

90

be further improved in future efforts.

91

How to define innovation?

92

Although there is general agreement that we need ’innovation’ in antibiotic R&D to respond now to

93

anticipated future medical needs, the lack of clarity around ’innovation’ itself presents a challenge.

94

The word innovation is one of the most commonly used terms in national and international initiatives

95

that address the antibiotic resistance problem, but what is meant by ‘innovation’ or how different

96

stakeholders interpret the term is unclear. In the context of stimulating the discovery of novel

97

antibiotics that can address the most resistant pathogens and meet anticipated future public health

98

needs, policy makers and public health authorities need a workable definition of innovation in order

99

to prioritise incentives to be underwritten with public funds.

M AN U

SC

RI PT

88

TE D

100

Discovery programmes may take 15 years or longer [9]. Therefore, when defining innovation in this

102

context, it is essential to consider longer-term resistance trends, scientific challenges, and the most

103

urgent anticipated public health needs. Innovation is commonly associated with a novel antibiotic

104

class, a novel target (binding site) or a novel mode of action. However, these terms are not clearly

105

defined and are open to broad interpretation. Some aspects of these terms are discussed below

106

before suggesting additional criteria.

AC C

107

EP

101

108

Novel antibiotic class

109

Antibiotics are historically grouped into antibacterial classes. The classes are defined according to the

110

active chemical scaffold (e.g. ß-lactams, fluoroquinolones) or functional aspects (e.g. topoisomerase

111

inhibitors, beta-lactamase inhibitors). Chemical classes are groupings that relate compounds by

112

similar features, usually by their active chemical structure (pharmacophore). Assignment of a new 5

ACCEPTED MANUSCRIPT compound to an antibacterial class or subclass is sometimes influenced by marketing considerations

114

and the desire to differentiate a drug from existing ones. Creating new classes or subclasses may be

115

an appealing way to influence user perception. An example is the glycyl derivative of minocycline,

116

tigecycline, which is a member of the tetracycline chemical class but was described as the first

117

member of a new class called glycylcyclines [10]. Another example is the ketolide class, which was

118

created many years ago for telithromycin because it contains a keto function [11]. The ketolide

119

classification fell out of favour after evidence of the toxicity of telithromycin emerged, and later

120

derivatives were preferably associated with the macrolide class to prevent the association with

121

toxicity. Classifying new drugs may be a longer process until agreement is achieved as no rules exist

122

and terminology may change. Fluoroquinolones are grouped according to their chemical core

123

structure and their ability to inhibit the essential bacterial enzymes DNA gyrase and topoisomerase

124

IV. A new group of antibiotics with a different chemical scaffold also inhibits DNA gyrase and

125

topoisomerase IV with a different mode of action [12]. They are called Novel Bacterial type II

126

Topisomerase Inhibitors, thus grouped according to their function. This is a recent example of the

127

creation of a new class of antibiotics based on functional and not chemical aspects. These examples

128

show that there is no clear and broadly accepted definition of what constitutes a novel antibacterial

129

class. A more precise term would be a new active chemical structure, scaffold or pharmacophore. To

130

complicate things further, the concept of a novel antibacterial class as a major pillar of innovation

131

may not be sufficient for future XDR and PDR pathogens. Even novel chemical scaffolds that are not

132

used in existing antibiotics may show cross-resistance (also called co-resistance) with unrelated

133

structures in cases where they share overlapping binding sites on the same bacterial target or are

134

affected by unspecific resistance mechanisms such as efflux.

135

Novel bacterial target

136

When it comes to meeting the test of innovation through a novel bacterial target, criteria for a ‘new

137

target’ may be too vague, as the term ‘target’ is not defined and may be complicated by the

138

existence of more than one specific binding site. Besides the definition of a binding site a target is

AC C

EP

TE D

M AN U

SC

RI PT

113

6

ACCEPTED MANUSCRIPT often perceived to be a functional structure, such as the ribosome or the cell wall. The ribosome

140

target has been exploited extensively over the history of antibiotics, as it has multiple binding sites

141

which are used by many antibiotics of different chemical scaffolds. The recent advances that X-ray

142

crystallography has brought to the understanding of the structure and function of the ribosome has

143

revealed the molecular details of the various antibiotic-binding sites [13]. Some of these binding sites

144

are in close proximity and may be overlapping. If a resistance mechanism affects a specific binding

145

site, all different chemical scaffolds that share this binding site may be affected. Well-known

146

examples are MLSB-resistance affecting macrolides, lincosamides, and streptogramin B or PhLOPSA-

147

resistance based on the cfr gene (RNA methyltransferase) and affecting phenicols, lincosamides,

148

oxazolidinones, pleuromutilins, and streptogramin A.

149

Specific cases that highlight the difficulties to classify a drug as novel include antibiotics with targets

150

that have not been used in human medicine for systemic infections but in other fields. This includes

151

lefamulin, a drug in phase 3 clinical development. It belongs to the class of pleuromutilins that have a

152

long record in the field of animal farming (tiamulin/valnemulin) but also topical human use for

153

superficial skin infections (retapamulin). Though targeting different pathogens in veterinary medicine

154

the impact of possible exchange of resistance determinants between bacterial species and longer-

155

term influence of prior and current use on the development of resistance in human health is not

156

known [14]. Transferable resistance to pleuromutilins due to vga genes has emerged globally in

157

livestock-associated MRSA [15]. Another example is the functional class of FabI inhibitors, with one

158

drug in active clinical development for the treatment of staphylococcal infections, as well as the non-

159

specific biocide and slow-binding FabI inhibitor triclosan. Due to its dual mode of action triclosan has

160

been widely used as a disinfectant in consumer products and point mutations in the FabI target site

161

of staphylococci are well described [15,16]. Selection pressure due to triclosan use may have been

162

exerted before the introduction of the new FabI inhibitors in clinical trials for the systemic treatment

163

of staphylococcal infections.

AC C

EP

TE D

M AN U

SC

RI PT

139

7

ACCEPTED MANUSCRIPT Novel mode of action

165

The ‘mode of action’ is often complex not always understood at early phases of discovery and

166

development and the term is rather vague. It has been used in a general functional way, for instance

167

to identify topoisomerase inhibitors by the fact that they inhibit DNA replication. Molecular details of

168

how these drugs interact with their target have only recently been described [17]. For many

169

antibiotics, especially the natural products, the mode of action may be complex and may not be

170

entirely revealed until they are widely used. Different affinities for primary and secondary binding

171

sites may influence the terminology. Additionally, different chemical solutions may bring about

172

analogous features of mechanisms of action as has been shown for some cationic antimicrobial

173

peptides and anionic lipopetides such as daptomycin [18,19]. The mode of action describes the sum

174

of all effects that an antibacterial agent exerts in/at a cell. Such complex and pleiotropic effects may

175

not be deciphered early on. Therefore, basing the concept of innovation solely on “mode of action”

176

may not be sufficient and should be expanded to additional criteria.

177

A biological approach

178

As shown in the sections above, what is meant by a novel class, novel target or novel mode of action

179

is not clear, especially in the context of resistance. All that matters for treating patients with MDR,

180

XDR or PDR pathogens is having antibiotics available to which these highly resistant pathogens are

181

reliably susceptible. As the currently used terminology is diffuse adding a biological definition of

182

innovation may be more meaningful. A biological definition of innovation in the above-described

183

context is based on the requirement that a drug not be affected by cross-resistance to existing drugs

184

in the organisms for which it is intended to be used, and that it have low potential for high-

185

frequency, high-level single-step resistance. This definition of innovation would satisfy the need for

186

prioritising novel antibiotics against the most resistant pathogens that are expected to burden

187

patients and health care systems even more in the future.

AC C

EP

TE D

M AN U

SC

RI PT

164

8

ACCEPTED MANUSCRIPT CrossCross-resistance

189

Cross-resistance occurs when resistance to a specific drug influences susceptibility and resistance to

190

other antibiotics simultaneously [20]. This is a well-known phenomenon for antibiotics within the

191

same class; for example, the acquisition of extended spectrum beta-lactamases (ESBL) caused cross-

192

resistance within the class of penicillins, cephalosporins and monobactams. Recent modifications of

193

known antibiotic classes commonly address such class-specific resistance mechanisms. Plazomicin, a

194

derivative of the aminoglycoside sisomicin was designed to resist modification by most

195

aminoglycoside-modifying enzymes [21]. Although this is the most common resistance mechanism,

196

target resistance due to modification mediated by ribosomal methyltranferases may equate to cross-

197

resistance to other aminoglycosides. The epidemiology of specific resistance mechanisms determines

198

the clinical relevance of the cross-resistance. For example, eravacycline, a new synthetic tetracycline,

199

shows an overlapping MIC distribution with tigecycline among the enterobacteriaceae and

200

Acinetobacter baumanii. Though demonstrating mostly 2-4 fold lower MICs, eravacycline MICs reflect

201

the rise of tigecycline MICs above the susceptibility breakpoint, thus, leading to close correlation

202

between MICs of both molecules and demonstrating a significant level of cross-resistance with

203

tigecycline [22].

204

Cross-resistance may extend beyond class-specific resistance. Non-specific resistance mechanisms

205

can confer resistance (also called co-resistance) to antibiotics of different classes [23]. Well-known

206

examples are mutations that alter the expression of efflux pumps or cell wall porins [24] and affect

207

several unrelated antibiotics. It has been recently shown that reduced eravacycline and tigecycline

208

susceptibility in a subset of carbapenem-resistant KPC-producing Klebsiella pneumoniae isolates is

209

most likely due to upregulated efflux pumps [22,25]. A newly approved antibacterial product,

210

ceftazidime/avibactam, was developed to escape the degradation by more beta-lactamases than

211

existing beta-lactamase inhibitor combinations. Although the spectrum of beta-lactamases that are

212

inhibited by avibactam is extended, some of the most resistant pathogens, such as MDR

213

Pseudomonas aeruginosa [26], may still survive by a combination of the effects of increased drug

AC C

EP

TE D

M AN U

SC

RI PT

188

9

ACCEPTED MANUSCRIPT efflux and decreased cell permeability. Testing a new drug candidate early on against a panel of XDR

215

clinical as well as genetically defined strains would be most important [27].

216

Low potential for rapid resistance evolution

217

Innovative novel drugs that inhibit a single molecular target or a target that can be bypassed easily

218

have a high potential for rapid resistance evolution [13, 28-30]. A single mutation in the target-

219

determining gene can lead to single-step high-level resistance with potentially rapid emergence of

220

resistance during therapy. Examples of old single-target drugs are trimethoprim, sulphonamides,

221

fosfomycin, and fusidic acid, which are mainly used in combination regimens for this reason. Several

222

current projects focus on target-based discovery strategies with an associated risk of high-frequency

223

single-step resistance with potentially rapid emergence of resistance during therapy [31]. A well-

224

known example for rapid emergence of resistance during therapy is the inhibitor of leucyl-tRNA

225

synthetase, GSK2251052, whose phase II trial for complicated UTIs was terminated due to high-level

226

resistance seen after 1 day of treatment [32]. Key properties, such as very high potency (low MIC)

227

and low toxicity to allow dosing at concentrations that kill bacterial cells with single-step mutations,

228

may mitigate the risk in such drugs [16]. Combination therapy may be a way to circumvent this risk in

229

clinical practice and should be included in the development strategy of such drugs. Currently used

230

methods for studying the propensity for emergence of resistance are mostly sub-optimal [33]. A

231

number of reviews have described a battery of systematic tests to predict the dynamics of

232

spontaneous resistance evolution under well-controlled conditions [7,34-36]. An international panel

233

of experts should agree on the most predictive tests to provide guidance for drug discovery.

234

Stringent criteria for potency and toxicity as well as early testing for high-level single-step resistance

235

in the discovery & development process should ensure that prioritised new drugs are not prone to

236

rapid emergence of resistance, even during therapy.

AC C

EP

TE D

M AN U

SC

RI PT

214

10

ACCEPTED MANUSCRIPT

Conclusion

238

Global policy initiatives are responding to rising resistance trends and recommending economic

239

incentives to stimulate innovation in antibacterial discovery & development. The word ‘innovation’

240

has not been appropriately defined for this specific context but has been used with a broad range of

241

meanings. The definition of innovation will be central to prioritising reward strategies. The drug

242

discovery community could contribute by using precise terms and reporting the characteristics of the

243

compound in a clear and accurate way. As an overarching criterion, innovation could be defined

244

functionally by focusing on the impact on resistance: a drug that lacks cross-resistance with existing

245

drugs and has a low potential for high-frequency high-level single-step resistance. This view of

246

innovation may require discovery strategies to adapt and include specific resistance-related studies

247

early in the discovery process. An international, independent panel of experts should agree on the

248

most predictive tests and detailed scientific criteria to define the biological aspects of innovation. The

249

requirements for a lack of cross-resistance and low potential for emergence of one-step resistance

250

can most likely be achieved by focusing on new chemical scaffolds, novel multi-molecular

251

targets/novel binding sites and associated novel mode of action.

252

Transparency declaration

253

The author has no conflict of interest to disclose.

254

Acknowledgment

255

The author would like to thank Lynn Silver, Diarmaid Hughes, Robert Stavenger, Heinz Moser,

256

Jennifer Leeds, Eric Bacque for their insightful comments and discussions.

257

Funding

258

The author received funding from the DRIVE-AB project (www.drive-ab.eu), which is supported by

259

the Innovative Medicines Initiative (IMI) Joint Undertaking under grant agreement n°115618,

AC C

EP

TE D

M AN U

SC

RI PT

237

11

ACCEPTED MANUSCRIPT 260

resources of which are composed of financial contribution from the European Union’s Seventh

261

Framework Programme (FP7/2007-2013) and EFPIA (European Federation of Pharmaceutical

262

Industries and Associations) companies’ in kind contribution. DRIVE-AB is part of IMI’s New Drugs for

263

Bad Bugs (ND4BB) programme.

RI PT

264 265 266 1.

AMR Review. Tackling Drug-Resistant Infections Globally: Final Report and Recommendations.

268

2016. https://amr-review.org/sites/default/files/160518_Final%20paper_with%20cover.pdf

269

2.

270

PPL-Short_Summary_25Feb-ET_NM_WHO.pdf.

271

3.

272

usual? J Antimicrob Chemother 2015;70:1604-7.

273

4.

Kingston W. Antibiotics, invention and innovation. Research Policy 2000; 29:679-710.

274

5.

Theuretzbacher U. Market watch: Antibacterial innovation in European SMEs. Nat Rev Drug

275

Discov 2016;15:812-3.

276

6.

277

acrB and acrR can cause high-level carbapenem resistance in Escherichia coli. J Antimicrob

278

Chemother 2016;71:1188-98.

279

7.

280

Tigecycline Resistance. Antimicrob Agents Chemother 2016;60:789-96.

281

8.

282

2010;74:417-33.

283

9.

284

quest for new antibiotics. Essays Biochem 2017;61:103-14.

SC

267

M AN U

WHO Priority Pathogen List for R&D. 2017. http://www.who.int/medicines/publications/WHO-

TE D

Harbarth S, Theuretzbacher U, Hackett J. Antibiotic research and development: business as

AC C

EP

Adler M, Anjum M, Andersson DI, Sandegren L. Combinations of mutations in envZ, ftsI, mrdA,

Linkevicius M, Sandegren L, Andersson DI. Potential of Tetracycline Resistance Proteins To Evolve

Davies J, Davies D. Origins and Evolution of Antibiotic Resistance. Microbiol Mol Biol Rev

Blaskovich Mark AT, Butler Mark S, Cooper Matthew A. Polishing the tarnished silver bullet: the

12

ACCEPTED MANUSCRIPT 10. Nguyen F SA, Arenz S, Sohmen D, Dönhöfer A, Wilson DN. Tetracycline antibiotics and resistance

286

mechanisms. Biol Chem 2014;395:559-75.

287

11. Garza-Ramos G, Xiong L, Zhong P, Mankin A. Binding Site of Macrolide Antibiotics on the

288

Ribosome: New Resistance Mutation Identifies a Specific Interaction of Ketolides with rRNA. J

289

Bacteriol 2001;183: 6898-907.

290

12. van Eijk E, Wittekoek B, Kuijper EJ, Smits WK. DNA replication proteins as potential targets for

291

antimicrobials in drug-resistant bacterial pathogens. J Antimicrob Chemother 2017 Jan 10.

292

13. Poehlsgaard J, Douthwaite S. The bacterial ribosome as a target for antibiotics. Nat Rev Micro

293

2005;3:870-81.

294

14. van Duijkeren E, Greko C, Pringle M, et al. Pleuromutilins: use in food-producing animals in the

295

European Union, development of resistance and impact on human and animal health. J Antimicrob

296

Chemother 2014;69:2022-31.

297

15. Gloux K, Guillemet M, Soler C, et al. Clinical relevance of FASII bypass in Staphylococcus aureus.

298

Antimicrob Agents Chemother 2017 Feb 13.

299

16. Yao J, Rock CO. Resistance Mechanisms and the Future of Bacterial Enoyl-Acyl Carrier Protein

300

Reductase (FabI) Antibiotics. Cold Spring Harb Perspect Med 2016;6(3).

301

17. Aldred KJ, Kerns RJ, Osheroff N. Mechanism of Quinolone Action and Resistance. Biochem

302

2014;53:1565-74.

303

18. Straus SK, Hancock REW. Mode of action of the new antibiotic for Gram-positive pathogens

304

daptomycin: Comparison with cationic antimicrobial peptides and lipopeptides. Biochim Biophys Acta

305

2006;1758:1215-23.

306

19. Mensa B, Howell GL, Scott R, DeGrado WF. Comparative Mechanistic Studies of Brilacidin,

307

Daptomycin, and the Antimicrobial Peptide LL16. Antimicrob Agents Chemother 2014;58:5136-45.

308

20. Suzuki S, Horinouchi T, Furusawa C. Prediction of antibiotic resistance by gene expression

309

profiles. Nat commun 2014;5:5792.

AC C

EP

TE D

M AN U

SC

RI PT

285

13

ACCEPTED MANUSCRIPT 21. G. Cox LE, A. Sieron, A. W. Serio, K. M Krause, G. D. Wright. A Comprehensive Study of Plazomicin

311

AcEvity against a Panel of Aminoglycoside Resistance Enzymes. ASM Microbe Conference, Boston

312

2016; Poster 572.

313

22. Livermore DM, Mushtaq S, Warner M, Woodford N. In Vitro Activity of Eravacycline against

314

Carbapenem-Resistant Enterobacteriaceae and Acinetobacter baumannii. Antimicrob Agents

315

Chemother 2016;60:3840-4.

316

23. Love WJ, Zawack KA, Booth JG, Grhn YT, Lanzas C. Markov. Networks of Collateral Resistance:

317

National Antimicrobial Resistance Monitoring System Surveillance Results from Escherichia coli

318

Isolates, 2004-2012. PLoS Comput Biol 2016;12:e1005160.

319

24. Lazar V, Nagy I, Spohn R, et al. Genome-wide analysis captures the determinants of the antibiotic

320

cross-resistance interaction network. Nat Commun 2014;5:4352.

321

25. He F, Fu Y, Chen Q, et al. Tigecycline susceptibility and the role of efflux pumps in tigecycline

322

resistance in KPC-producing Klebsiella pneumoniae. PloS One 2015; 10:e0119064.

323

26. Winkler ML, Papp-Wallace KM, Hujer AM, et al. Unexpected Challenges in Treating Multidrug-

324

Resistant Gram-Negative Bacteria: Resistance to Ceftazidime-Avibactam in Archived Isolates of

325

Pseudomonas aeruginosa. Antimicrob Agents Chemother 2015;59:1020-9.

326

27. Mavroidi A, Likousi S, Palla E, et al. Molecular identification of tigecycline- and colistin-resistant

327

carbapenemase-producing Acinetobacter baumannii from a Greek hospital from 2011 to 2013. J

328

Med Microbiol 2015;64:993-7.

329

28. Silver LL. Challenges of Antibacterial Discovery. Clin Microbiol Rev 2011;24:71-109.

330

29. Silver LL. Multi-targeting by monotherapeutic antibacterials. Nat Rev Drug Discov 2007; 6:41-55.

331

30. Brotz-Oesterhelt H, Brunner NA. How many modes of action should an antibiotic have? Curr

332

Opin Pharmacol 2008;8:564-73.

333

31. Silver LL. Appropriate Targets for Antibacterial Drugs. Cold Spring Harb Perspect Med 2016;6(12).

AC C

EP

TE D

M AN U

SC

RI PT

310

14

ACCEPTED MANUSCRIPT 32. O'Dwyer K, Spivak AT, Ingraham K, et al. Bacterial Resistance to Leucyl-tRNA Synthetase Inhibitor

335

GSK2251052 Develops during Treatment of Complicated Urinary Tract Infections. Antimicrob Agents

336

Chemother 2015;59:289-98.

337

33. Andersson DI. Improving predictions of the risk of resistance development against new and old

338

antibiotics. Clin Microbiol Infect;21:894-8.

339

34. Martinez JL, Baquero F, Andersson DI. Beyond serial passages: new methods for predicting the

340

emergence of resistance to novel antibiotics. Curr Opin Pharmacol 2011;11:439-45.

341

35. Chevereau G, Dravecka M, Batur T, et al. Quantifying the Determinants of Evolutionary Dynamics

342

Leading to Drug Resistance. PLoS Biol 2015;13(11):e1002299.

343

36. Martínez JL, Baquero F. Emergence and spread of antibiotic resistance: setting a parameter

344

space. Ups J Med Sci 2014;119:68-77.

M AN U

AC C

EP

TE D

345

SC

RI PT

334

15

ACCEPTED MANUSCRIPT Figure: Potential FDA approval of selected new antibiotics (systemic small molecules) according to their perceived innovation potential; attrition rates apply.

AC C

EP

TE D

M AN U

SC

RI PT

old: modifications of currently used chemical scaffolds (human or animal health), new: new chemical scaffolds community: antibiotics targeted at community-acquired infections, usually focused on Gram-positive bacteria but also include respiratory pathogens and Neisseria gonorrhoea; oral formulations available ABSSTI: acute bacterial skin and soft tissue infections, usually focused on Gram-positive bacteria BLI: beta-lactamase inhibitor (vaborbactam, relebactam, avibactam, zidebactam, nacubactam, AAI202), aztreon+avibact: aztreonam+avibactam Pep.mi: Peptidomimetic, murepavadin for Pseudomonas aeruginosa FabI: FabI inhibitor specific for staphlococci Cephalosporins: cefiderocol, novel transport mechanism into the bacterial cell, potential for crossresistance not fully elucidated Aminoglycoside: plazomicin Fluoroquinolone: delafloxacin Tetracycline: eravacycline, omadacycline, TP-271 Pleuromutilin: lefamulin Macrolide (ketolide): nafithromycin Registered in Europe: fosfomycin, fusidic acid

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT