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      Dry antibiotic pipeline: Regulatory bottlenecks and regulatory reforms

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          Abstract

          INTRODUCTION Only 2 new classes of antibiotics have emerged in the past 3 decades, namely, oxazolidinones (linezolid) and cyclic lipopeptides (daptomycin).[1] The antibacterial pipeline is scarce because of the costs associated with the development and licensure of antibiotics and the complexity of conducting clinical trials.[2] Recruitment and enrollment of an adequate number of patients in clinical trials for novel antibacterial remain very challenging and costly. In addition, no one can cut corners on safety. The US FDA has recently issued a draft guidance on scientific justification of margins in non-inferiority trials for treatments of acute bacterial skin and skin structure infections. The US FDA has also required superiority trials for antibiotics used to treat self-resolving nonlethal infections. This would increase the number of patients to be enrolled in antibiotic trials, and thus, increase the trial expenditure.[3] In this article, we attempt to discuss various regulatory bottlenecks in the development of novel antibacterial drugs. In the latter part of the article, we discuss various regulatory reforms that could improve novel antibacterial development. REGULATORY BOTTLENECKS At present, clinical trials involving novel antibiotics face multiple regulatory bottlenecks, which are mentioned below:[2 4 5 6] Demanding phase III study protocols Necessity for all licensed indications to be microbiologically documented Increased stringency of safety requirements for pre-licensing and post-licensing procedures (despite these stringent requirements, risk/benefit definition remains unclear) Higher standards for efficacy and safety trials Prolonged evaluation/decision time that affects return on investment (ROI) Regulatory stringency coupled with bureaucratic hurdles Failure of harmonization of international regulatory requirements; and Slow updating of guidelines. Regulatory reforms The US FDA (Innovation or Stagnation: Challenge and Opportunity on the Critical Path to New Medical Products), Infectious Diseases Society of America (IDSA), British Society for Antimicrobial Chemotherapy (BSAC), and the California Healthcare Institute have suggested the following specific reforms that would improve both the development of critical antibacterial agents and the regulatory review process in entirety.[5 6 7 8 9] Consideration of preclinical and clinical data for approval Demonstrable efficacy in animal models and secondary clinical outcomes such as bacterial eradication together with a single well-designed phase 3 trial should be considered sufficient for review of drug approval.[8] Adaptive clinical trial design Because the clinical trials that evaluate antibiotic efficacy against resistant bacteria are time-consuming and costly, the US FDA has suggested the use of adaptive clinical trial designs. Patient cohorts consistent with the frequency and severity of the disease should be included in the trials for approval. The requirement that patients infected with resistant organisms be excluded from the analysis of the control group but not the experimental group should be eliminated by the regulatory agency.[6 8] Placebo-controlled trials to evaluate antibiotic therapy National Institute of Allergy and Infectious Diseases (NIAID) has suggested that placebo-controlled trials should be funded to evaluate the necessity of antibiotic therapy for specific diseases. Antibiotics are very commonly prescribed to treat diseases that are not caused by bacteria (e.g., virus), and this may lead to antibiotic resistance with no benefit to the patients. Hence, definitive placebo-controlled studies would be required to elaborate the necessity of antibiotic therapy for specific diseases.[6] Relaxed standards for demonstrating equivalence to the active comparator Broadly, there are 4 kinds of controlled trials that provide efficacy evidence. Among them, placebo, no treatment, and dose-response controlled trials are superiority trials. The purpose of a superiority trial is to show that a test drug is superior to the control, e.g., placebo, no treatment, or a lower dose of the test drug. The fourth type of controlled trial involves comparison with an active treatment (active control); this type of trial demonstrates superiority or noninferiority of the test drug to the active drug. In the case of a noninferiority clinical trial, the purpose is to show that test product is not inferior to the comparator by more than a specified, small amount known as delta, which has previously been determined in a placebo-controlled trial of the comparator drug. The standard delta value for most antibiotic trials is 15%.[3 10] Most clinical trials involving antibiotics are active-controlled, noninferiority trials. The US FDA has recently drafted guidelines for noninferiority margins for trials on acute bacterial skin infections and other skin infections. These guidelines have proposed the use of narrower efficacy margins, which tend to increase the number of patients involved and the trial cost. However, such an increase in the number of study patients seems to be unfeasible from a clinical standpoint for not-so-common but important infectious diseases. It may also culminate in the trial becoming so lengthy that the comparator drug may no longer be considered appropriate due to the emergence of antibiotic resistance.[1 2 3 4] The results of a superiority trial are easily decipherable; however, noninferiority trials suffer the criticism of not being able to record assay sensitivity, which is essential for understanding the results. The International Conference on Harmonization (ICH) E10 defines assay sensitivity as the property of a clinical trial that distinguishes an effective treatment from a less effective or ineffective treatment. Thus, if the active control shows no effect at all in the noninferiority trial, even a very small difference between the control and the test drug is futile because it does not correspond to efficacy of the test drug. Thus, the likelihood of inadequate efficacy may be reduced if the regulatory agency specifies an appropriate antibiotic comparator for each indication.[2 3 10 11] Allowing pooling of trial data of different indications for uncommon conditions Pooling of data on the efficacy of a drug against indications other than that under investigation (infection due to uncommon resistant pathogens) should be permitted by the regulatory agency. This would allow the selection of an agent that is effective against multidrug-resistant organisms in specific clinical contexts.[8] Accelerated approval for targeted indications Expediting the review of new drug applications can shorten the drug approval time by the regulatory agency. The regulatory agency might approve the application for a new drug (NDA) or a biological (BLA) product on the basis of the results of an efficacy trial involving a surrogate endpoint. The accelerated approval process may then depend on the confirmatory studies conducted in the post-approval phase.[5 6 8] Increased utilization of postmarketing data Postmarketing studies should be adequately controlled and well timed. Postmarketing trials would ensure that a larger database of patients is studied under realistic trial conditions, and the results would be more representative of patients with the infectious disease under study. Approval can be withdrawn for a number of reasons including the failure of the postmarketing clinical study to prove or verify the clinical efficacy and safety or if the drug is not safe under its conditions of use.[8] Designation of orphan drug status for antibiotics It should be noted that the Orphan Drug (OD) Act offers protection against competition by conferring exclusive marketing rights. In addition, this act gives tax incentives, grant support for specific clinical development processes, and other benefits for sponsors of drug development for rare diseases. Assignment of OD status for antibiotics that can be used in life-threatening infections coupled with regulatory benefits can spur the research and development of novel antibacterial drugs.[4] Provisional approval might be given to novel antibacterial drugs based on well-validated phase II data under the OD route, which is more rapid. This approach is well-accepted in cancer research. In addition, accelerated provisional approval of a drug against anthrax employed surrogate data because of the absence of human models. Medicines approved via the OD route would receive a significant market share, with an advantage of 7 years of market protection.[5] Accelerating the publication of updated guidelines for antibiotic clinical trials The publication of updated guidelines for antibiotic clinical trials should be accelerated to ensure that their relevance is preserved.[5 6 7] Increased use of PK/PD data PK/PD data can now be used to determine the dosing regimen. When it is difficult to conduct large trials, PK/PD data can be used for efficacy evaluation. Integration of PK/PD parameters with the minimum inhibitory concentration (MIC) affords 3 measures for predicting antibiotic efficacy, including the peak/MIC ratio, the time that the drug concentration persists above MIC (T > MIC), and the 24-h area under the curve (AUC)/MIC ratio. Various outcome studies have reported that class-appropriate PK/PD parameters are excellent predictors of antibiotic efficacy. Thus, concrete PK/PD data would reduce the need for phase III trials to one trial per indication.[5 6 12 13] Fostering translational (bench to bedside) research Translation research involves 2 stages. The first stage is the translation of basic and preclinical data to human clinical data, and the second stage involves the adoption of best practices.[6 7] Use of surrogate end points A very large sample size of up to 300 evaluable patients per treatment group is required in clinical trials of anti-infective drugs because efficacy is registered as the number of cured/improved patients versus number of patients in whom the treatment failed. A solution to this problem would be to use validated surrogate markers as end points. Regulatory bodies may provide valid definitions of well-accepted surrogate end points for clinical trials of bacterial infections.[5 6 7] Encouraging the development of rapid diagnostics There is a clear need for the development of rapid diagnostics to simplify both medical practice and drug development. Better diagnostics will not only enable the enrolment of patients with genuine bacterial infections in clinical trials but also simplify the trial design and better the outcome measures.[5 6 7] Recent developments In a recent development, Safety and Innovation Act of the US FDA revised the PDUFA in September 2012 to include incentives to foster the research of antibiotic and antifungal drugs. This law has recognized the need for government intervention to address the serious problems of antibiotic resistance and a sparse antibiotic pipeline.[14] Selected provisions of this law are described in the following section. Incentives for drugs used for treating serious and life-threatening infections A list of qualifying pathogens should be prepared. Once a drug qualifies to receive incentives, such a designation remains irrevocable.[14] Additional exclusivity Five additional years of data exclusivity for new antibiotics and antifungals have been provided under this act.[14] Priority review process Priority review will reduce the time it takes to review a new drug application to 6 months. Qualifying drug candidates will be eligible for review under this law.[14] CONCLUSIONS The antibacterial pipeline is scarce because of the costs associated with the development and licensure of antibiotics and complexity of conducting clinical trials involving antibiotics. Clinical trials for novel antibacterials are faced with multiple regulatory bottlenecks. Some regulatory issues include increased stringency of trial design, increased demands regarding the design of phase III studies, necessity for all licensed indications to be microbiologically documented, and increased stringency of safety requirements for pre-licensing and post-licensing procedures of drugs. Some of the measures suggested by the US FDA and other health organizations to spur the research and development of novel antibacterials are appropriate use of imaginative clinical trial designs, increased use of postmarketing studies, designation of OD status, acceleration of the publication of updated guidelines, increased use of PK/PD data, aggressive encouragement of translational research, appropriate use of surrogate markers, development of rapid diagnostics, and a quick review process.

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          Most cited references15

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          Bad bugs need drugs: an update on the development pipeline from the Antimicrobial Availability Task Force of the Infectious Diseases Society of America.

          The Antimicrobial Availability Task Force (AATF) of the Infectious Diseases Society of America (IDSA) has viewed with concern the decreasing investment by major pharmaceutical companies in antimicrobial research and development. Although smaller companies are stepping forward to address this gap, their success is uncertain. The IDSA proposed legislative and other federal solutions to this emerging public health problem in its July 2004 policy report "Bad Bugs, No Drugs: As Antibiotic R&D Stagnates, a Public Health Crisis Brews." At this time, the legislative response cannot be predicted. To emphasize further the urgency of the problem for the benefit of legislators and policy makers and to capture the ongoing frustration our clinician colleagues experience in their frequent return to an inadequate medicine cabinet, the AATF has prepared this review to highlight pathogens that are frequently resistant to licensed antimicrobials and for which few, if any, potentially effective drugs are identifiable in the late-stage development pipeline.
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            Pharmacodynamics of fluoroquinolones against Streptococcus pneumoniae in patients with community-acquired respiratory tract infections.

            Fluoroquinolone antibiotic agents have demonstrated efficacy in the treatment of respiratory tract infections. This analysis was designed to examine the relationship between drug exposure, as measured by the free-drug area under the concentration-time curve at 24 h (AUC(24))/MIC ratio, and clinical and microbiological responses in patients with community-acquired respiratory tract infections involving Streptococcus pneumoniae. The study population included 58 adult patients (34 males, 24 females) who were enrolled in either of two phase III, randomized, multicenter, double-blind studies of levofloxacin versus gatifloxacin for the treatment of community-acquired pneumonia or acute exacerbation of chronic bronchitis. Clearance equations from previously published population pharmacokinetic models were used in conjunction with dose and adjusted for protein binding to estimate individual patient free-drug AUC(24)s. In vitro susceptibility was determined in a central laboratory by broth microdilution in accordance with NCCLS guidelines. Pharmacodynamic analyses were performed on data from all evaluable patients with documented S. pneumoniae infection using univariate and multivariable logistic regression; pharmacodynamic breakpoints were estimated using Classification and Regression Tree analysis. A statistically significant (P = 0.013) relationship between microbiological response and the free-drug AUC(24)/MIC ratio was detected. At a free-drug AUC(24)/MIC ratio of 33.7, it was 100% (P < 0.01). These findings may provide a minimum target free-drug AUC(24)/MIC ratio for the treatment of infections involving S. pneumoniae with fluoroquinolone antibiotics and provide a paradigm for the selection of fluoroquinolones to be brought forward from drug discovery into clinical development and dose selection for clinical trials. Further, when target free-drug AUC(24)/MIC ratios are used in conjunction with stochastic modeling techniques, these findings may be used to support susceptibility breakpoints for fluoroquinolone antibiotics and S. pneumoniae.
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              The importance of pharmacokinetic/pharmacodynamic surrogate markers to outcome. Focus on antibacterial agents.

              Pharmacokinetic/pharmacodynamic surrogate relationships have been used to describe the antibacterial activity of various classes of antimicrobial agents. Studies that have evaluated these relationships were reviewed to determine which of these surrogate markers were further dependent on antimicrobial class. The fluoroquinolone and aminoglycoside agents exhibit concentration-dependent killing. Studies have demonstrated that peak serum concentration: minimum inhibitory concentration (MIC) and area under the serum concentration-time curve (AUC): MIC ratios are important predictors of outcome for these antimicrobial agents. Area under the inhibitory concentration-time curve (AUIC24) [i.e. AUC24/MIC] is a useful parameter for describing efficacy for these agents, while an adequate peak concentration: MIC ratio seems necessary to prevent selection of resistant organisms. For beta-lactam antibiotics, the duration of time that the serum concentration exceeds the MIC (T > MIC) was the significant pharmacokinetic/pharmacodynamic surrogate in cases where the bacterial inoculum was low, or where very sensitive organisms were tested. However, in studies using more resistant organisms or larger inoculum sizes there is some concentration-dependence to the observed effect. Studies using reasonable dosage intervals have demonstrated covariance between T > MIC and AUC/MIC ratio for beta-lactam antibiotics. Since glycopeptide antibiotics display relatively slow but concentration-independent killing, and are cell wall active agents similar to beta-lactams, it has been presumed that T > MIC is the important pharmacokinetic surrogate related to efficacy for these agents. Some studies have shown that a concentration multiple of the MIC may be necessary for successful outcome with vancomycin. AUIC24 may prove to be an important pharmacokinetic surrogate if both time and concentration are indeed important parameters. To select an appropriate antimicrobial agent, the clinician must consider many patient-specific as well as organism-specific factors. Utilisation of known pharmacokinetic/pharmacodynamic surrogate relationships should help to optimise treatment outcome.
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                Author and article information

                Journal
                J Pharmacol Pharmacother
                J Pharmacol Pharmacother
                JPP
                Journal of Pharmacology & Pharmacotherapeutics
                Medknow Publications & Media Pvt Ltd (India )
                0976-500X
                0976-5018
                Jan-Mar 2014
                : 5
                : 1
                : 4-7
                Affiliations
                [1] Department of Pharmacology, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur, Tamil Nadu, India
                Author notes
                Address for correspondence: Sandeep Kumar Gupta, Department of Pharmacology, Dhanalakshmi Srinivasan Medical College and Hospital, Siruvachur, Perambalur - 621 113, Tamil Nadu, India. E-mail: drsandeep_gupta@ 123456rediffmail.com
                Article
                JPP-5-4
                10.4103/0976-500X.124405
                3917165
                24554902
                5489d0da-784a-4901-b0a7-a7d77fc967d3
                Copyright: © Journal of Pharmacology and Pharmacotherapeutics

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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