Abstract
Background
Poor sustained sputum culture conversion rates with the standard-of-care therapy highlight the need for better drugs to treat Mycobacterium avium complex pulmonary disease (MAC-PD).
Objective
To determine the pharmacokinetics/pharmacodynamics (PK/PD)-optimized exposure of sarecycline and its potential role in treating MAC-PD.
Methods
We performed MIC studies with MAC ATCC 700898 and 19 clinical isolates and test-tube static concentration–response studies. A dynamic hollow-fibre system model of intracellular MAC (HFS-MAC) study was performed mimicking six human-equivalent sarecycline dose concentration–time profiles to identify the PK/PD optimal exposure of sarecycline for MAC kill. The inhibitory sigmoid maximal effect (Emax) model was used for PK/PD analysis.
Results
The sarecycline MIC of MAC ATCC 700898 was 1 mg/L, while the MIC for the 19 clinical strains ranged between 32 and >256 mg/L. The concentration mediating 50% of Emax (EC50) was similar between intracellular and extracellular MAC. In the HFS-MAC, all six sarecycline doses killed intracellular MAC, with an Emax of 1.0 log10 cfu/mL below Day 0 burden (stasis). The sarecycline EC80 (optimal) exposure was identified as AUC0–24/MIC = 139.46.
Conclusions
Sarecycline demonstrated anti-MAC Emax in the HFS-MAC model better than ethambutol but worse than omadacycline (>5 log10 cfu/mL below stasis) in HFS-MAC. However, since currently approved highest oral sarecycline dose achieves an AUC0–24 of 48.2 mg·h/L and MAC MICs are >32 mg/L, the target AUC0–24/MIC of 139.46 is unlikely to be achieved in patients.
Introduction
The standard-of-care (SOC) treatment of Mycobacterium avium (MAC) pulmonary disease (MAC-PD) is a combination of ethambutol, a macrolide (either clarithromycin or azithromycin), plus a rifamycin (either rifabutin or rifampicin) that achieves a sustained sputum culture conversion rate (SSCC) of only 54%.1 Therefore, safe and more effective oral drugs are still needed.
First-generation tetracyclines, oxytetracycline and chlortetracycline, were shown to have limited antimycobacterial activity with considerable toxicity.2–5 The second-generation tetracycline, minocycline, has been demonstrated to have good efficacy in the hollow-fibre system model (HFS) of MAC and Mycobacterium tuberculosis,6 and recently, third-generation tetracyclines, namely tigecycline and omadacycline, demonstrated perhaps the best activity so far among the antibiotics against mycobacteria, better than SOC antibiotics in HFS pharmacokinetics/pharmacodynamics (PK/PD) studies.7–13 Here, we tested a third minocycline congener, sarecycline, in the HFS-MAC. Sarecycline has been approved by the US FDA for the treatment of acne and is thus already available for clinical use.14–16
Materials and methods
Details of the organism, supplies and methods are included in the Supplementary Materials and Methods (available as Supplementary data at JAC Online). Briefly, M. avium (ATCC 700898) was used in the HFS-MAC experiments, and 19 clinical MAC isolates were used to generate the sarecycline MIC distribution. THP-1 monocytes (ATCC TIB-202) were used in the intracellular experiments.
First, the standard broth microdilution method was used to determine the sarecycline MIC,17 using two different culture media, namely CAMHB supplemented with 5% OADC and Middlebrook 7H9 broth supplemented with 10% OADC (herein termed ‘7H9’). The turbidity-adjusted inoculum was added to each well of 96-well plates, pre-filled with drugs at concentrations ranging from 0.5 to 256 mg/L. Non-treated cultures were used as growth control. After 7 days of incubation at 37°C, the 96-well plates were visually inspected to record the MIC. In the case of the trailing effect, 80% growth inhibition compared with the non-treated control was used to determine the MIC.18 The experiments were performed twice, with three replicates for each drug concentration.
Second, we performed experiments with CAMBH, 7H9, and RPMI-1640 supplemented with 2% FBS to compare MAC’s doubling time and growth rate in different culture media to determine if this might affect the subsequent results with sarecycline. The methods are described in detail in the Supplementary Materials and Methods.
Third, extracellular static concentration–response studies were performed using the MAC ATCC 700898 strain. The sarecycline concentrations ranged from 0.5 to 256 mg/L. In the intracellular MAC experiments, activated THP-1 cells were infected with MAC and coincubated with different sarecycline concentrations. The cell culture medium containing each drug concentration was changed every 3.5 days to keep the cells healthy and alive. After 7 days of incubation, THP-1 cells were washed and cultured on 7H10 agar to determine the change in the intracellular bacterial burden with each drug concentration (see Supplementary Materials and Methods for additional details).
Fourth, we performed a sarecycline dose-ranging HFS-MAC study, following the methods as detailed in the Supplementary Materials and Methods. Sarecycline clinical dose for treating acne is adjusted for weight to achieve similar drug exposure.16 Therefore, based on the peak concentration and AUC0–24 listed in the package insert,16 HFS-MAC units were treated with six different sarecycline doses at a 21 h sarecycline half-life chosen based on serum PKs since no intrapulmonary PKs have been established for this antibiotic.16 Two non-treated HFS-MAC units served as the growth control. The circulating media in the HFS-MAC was RPMI-1640 supplemented with 2% FBS. Sarecycline was administered into the central compartment of HFS-MAC over 2 h (Tmax) once daily for 21 days using programmable syringe pumps. Sampling of the HFS-MAC units for drug concentration measurement as well as for intracellular bacterial burden estimation was performed as detailed in the Supplementary Materials and Methods. Cultures were incubated at 37°C for 10 days before the cfu/mL were recorded.
The detailed methods for drug concentration measurement as well as PK/PD data analysis, are included in the Supplementary Materials and Methods.
Ethics
The manuscript describes only in vitro experiments. Therefore, no ethical approval was required.
Results
The sarecycline MIC for MAC ATCC 700898 using 7H9 broth was 2 mg/L (Figure S1a). In comparison, the MIC using CLSI- and EUCAST-recommended CAMHB was 1 mg/L (Figure S1a) and used in the subsequent PK/PD analysis. The MICs of the 19 clinical strains ranged between 32 and >256 mg/L (Figure S1b), and MIC50/MIC90 was calculated as >256 mg/L. Figure S1(c) shows the results of the sarecycline static concentration–response studies in different culture media. The growth rate of MAC was 0.22 ± 0.02 log10 cfu/mL/day in 7H9, 0.16 ± 0.01 log10 cfu/mL/day in CAMHB, and 0.14 ± 0.02 log10 cfu/mL/day in RPMI (Figure S2a). However, the 95% CI crossed zero (Figure S2b), indicating that the difference in the growth rate in different media was not statistically significant (P ≥ 0.05). Table 1 summarizes the bacterial burden in the non-treated controls, maximum MAC kill and EC50 for each experiment to highlight that the differences in the model parameters were not statistically significant, evident by the overlapping 95% CI.
Table 1.
Comparison of the effect of different culture media on the activity of sarecycline against MAC
| Model parameters | Middlebrook 7H9 broth (extracellular MAC) | CAHMB (extracellular MAC) | RPMI (intracellular MAC) |
|---|---|---|---|
| E con (log10 cfu/mL) | 7.12 (6.91–7.34) | 6.29 (5.99–6.61) | 6.157 (6.00–6.31) |
| E max (log10 cfu/mL) | 4.44 (4.09–4.82) | 4.49 (4.06–4.99) | 2.66 (2.41–2.96) |
| H | 1.10 (0.91–1.33) | 0.87 (0.69–1.09) | 0.77 (0.62–0.96) |
| EC50 (mg/L) | 6.89 (5.64–8.51) | 3.27 (2.43–4.53) | 4.59 (3.45–6.39) |
| r2 | 0.99 | 0.98 | 0.99 |
Numbers in parenthesis represent 95% CIs. Econ, growth in the non-treated control.
The concentration–time profile of different sarecycline doses in the HFS-MAC is shown in Figure S3(a). The observed clearance rate in the HFS-MAC was 0.004 L/h, and the volume of distribution was calculated as 0.28 L. The model fit is shown in Figure S3(b) with r2 = 0.99 indicating minimal bias between the measured and PK-modelled drug concentrations.
As shown in Figure 1(a), there was a dose-dependent kill of intracellular MAC, and bacterial burden in the HFS-MAC units treated with different doses of sarecycline was lower compared with the non-treated control systems. The AUC0–24/MIC exposures of 113.27, 163.25 and 277.4 failed to keep the bacterial burden below stasis. In comparison, the higher AUC0–24/MIC exposures, 432.77 and 667.24, killed MAC below stasis but eventually failed, as evidenced by the regrowth. Notably, a paradoxical effect was observed with the AUC0–24/MIC of 285.39 that kept the intracellular MAC burden to stasis throughout the 21 day study period. In Figure 1(b), we show the relationship between the intracellular MAC and different sarecycline exposures (AUC0–24/MIC) for each study day. With the best model fit (r2 = 0.99) on study Day 14, Emax was calculated as 1.36 log10 cfu/mL, and EC50 was where AUC0–24/MIC = 111.8 ± 4.25 with a slope (Hill’s constant, H) of 6.27 ± 2.09. This translates to an EC80 or optimal sarecycline exposure of AUC0–24/MIC = 139.46.
Figure 1.
Sarecycline kill curves and dose–response in the HFS-MAC. (a) Time–kill curve of intracellular MAC with different sarecycline exposures. AUC0–24/MIC of 285.39 kept the bacterial burden similar to stasis (Day 0) throughout the 21 day study. (b) Inhibitory sigmoid maximal effect model fit showing the relationship between the intracellular MAC burden and sarecycline exposures in the HFS-MAC. This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.
Discussion
First, we performed MIC experiments with sarecycline in two different media. The MIC50/MIC90 of the clinical strains, in 7H9, was calculated as >256 mg/L. While our MIC results are in agreement with that reported by Li et al.19 (>64 mg/L), it prompted us to investigate the effect of culture medium on the MIC. Indeed, there was a difference in the growth rate of MAC, and the faster growth in 7H9 could partially explain the observed higher MIC compared with CAMBH. These findings further add complexity to susceptibility testing for third-generation tetracyclines, in addition to issues of degradation and growth rates.12
Second, in the HFS-MAC, all six sarecycline doses killed intracellular MAC. The Emax below stasis (Day 0) was about 1.0 log10 cfu/mL with sarecycline, compared with 2.0 log10 cfu/mL kill with minocycline in the HFS-MAC, and >5 log10 cfu/mL with omadacycline.11 On the other hand, this is better than ethambutol in the same HFS-MAC model, which fails to kill MAC below stasis.20 Thus, sarecycline has better efficacy than some SOC drugs as monotherapy but is less efficacious than omadacycline.11
Third, the EC80 exposure of sarecycline in the HFS-MAC was identified as an AUC0–24/MIC of 139.46. To put this in clinical context, in the FDA docket, sarecycline clinical doses of 60, 100, and 150 mg achieved mean AUC (%CV) of 20.7 (15%), 33.8 (17%) and 48.2 (19%) mg·h/L, respectively.16 However, in the MIC distribution in clinical strains, the lowest MIC was 32 mg/L while MIC50/MIC90 of the clinical strains was >256 mg/L. This means the highest AUC/MICs achieved with the 150 mg dose would be 1.51 assuming a 1:1 lung/serum penetration ratio, and at the most 3.0 if a favourable 2:1 penetration ratio is assumed.16 Thus, the MICs we observed may be a bridge too far for the use of sarecycline in MAC-PD.
Among the limitations of the study are the lack of information on intrapulmonary PKs of sarecycline, the use of a single HFS-MAC replicate per exposure in the sarecycline proof-of-concept PK/PD study, and failure to enumerate the sarecycline-resistant subpopulation, which could have provided information on sarecycline resistance-associated mutations in the MAC and the mechanistic basis of therapy failure. Also, we did not perform Monte Carlo simulations because we found that the EC80 would not be in the range achievable in patients.
To conclude, sarecycline showed anti-MAC efficacy in the HFS-MAC model, and the PK/PD optimal exposure was identified as AUC0–24/MIC = 139.46. However, due to the high MICs for the MAC clinical isolates, sarecycline may not be a suitable candidate to repurpose for the treatment of MAC-PD.
Supplementary Material
Acknowledgements
We thank Paula Ashcraft (Center of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA) for help with LC-MS/MS analysis.
Contributor Information
Sanjay Singh, Department of Medicine, School of Medicine, University of Texas at Tyler, 11937 US Highway 271, Tyler, TX 75708, USA.
Gunavanthi D Boorgula, Department of Medicine, School of Medicine, University of Texas at Tyler, 11937 US Highway 271, Tyler, TX 75708, USA.
Santosh Aryal, Department of Pharmaceutical Sciences and Health Outcomes, The Ben and Maytee Fisch College of Pharmacy, University of Texas at Tyler, Tyler, TX, USA.
Julie V Philley, Section of Pulmonary and Critical Care, School of Medicine, University of Texas at Tyler, Tyler, TX, USA.
Tawanda Gumbo, Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, TX, USA; Hollow Fiber System & Experimental Therapeutics Laboratories, Praedicare Inc, Dallas, TX, USA.
Shashikant Srivastava, Department of Medicine, School of Medicine, University of Texas at Tyler, 11937 US Highway 271, Tyler, TX 75708, USA; Department of Cellular and Molecular Biology, University of Texas Health Science Center at Tyler, Tyler, TX, USA.
Funding
Shashikant Srivastava received the University of Texas System STARS award (250439/39411), 1R21AI148096 from the National Institute of Allergy and Infectious Diseases, 1R01HD099756 from Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and NTM Education and Research funding support from the Vice President of Research, University of Texas at Tyler.
Transparency declarations
Tawanda Gumbo founded and is president and CEO of Praedicare Inc., a pre-clinical System of Systems for drug development research company, and founded Praedicare Africa, a clinical contract research organization. Julie V. Philley is an advisor for Insmed, Paratek and AN2 and a research investigator for Insmed, Paratek, AN2 and Zambon. All other authors have nothing to declare.
Author contributions
Conceptualization and design: Shashikant Srivastava; MIC and HFS-MAC studies: Shashikant Srivastava, Sanjay Singh and Gunavanthi D. Boorgula; drug concentration assay development: Santosh Aryal; data analysis and interpretation of results: Tawanda Gumbo and Shashikant Srivastava. Shashikant Srivastava wrote the first draft of the manuscript. Julie V. Philley and Tawanda Gumbo edited the manuscript and provided clinical insight into the data. All authors read, edited, and approved the final version for publication.
Supplementary data
Supplementary Materials and Methods and Figures S1–S3 are available as Supplementary data at JAC Online.
References
- 1. Pasipanodya JG, Ogbonna D, Deshpande D et al. Meta-analyses and the evidence base for microbial outcomes in the treatment of pulmonary Mycobacterium avium-intracellulare complex disease. J Antimicrob Chemother 2017; 72: i3–i19. 10.1093/jac/dkx311 [DOI] [PubMed] [Google Scholar]
- 2. Duggar BM. Aureomycin; a product of the continuing search for new antibiotics. Ann N Y Acad Sci 1948; 51: 177–81. 10.1111/j.1749-6632.1948.tb27262.x [DOI] [PubMed] [Google Scholar]
- 3. Duggar BM, Singleton VL. Biochemistry of antibiotics. Annu Rev Biochem 1953; 22: 459–96. 10.1146/annurev.bi.22.070153.002331 [DOI] [PubMed] [Google Scholar]
- 4. Steenken W Jr, Wolinsky E. The tuberculostatic action of terramycin in vitro and in the experimental animal. Ann N Y Acad Sci 1950; 53: 309–18. 10.1111/j.1749-6632.1950.tb42164.x [DOI] [PubMed] [Google Scholar]
- 5. Steenken W Jr, Wolinsky E. Tuberculostatic activity of aureomycin in vitro and in vivo. Am Rev Tuberc 1949; 59: 221. 10.1164/art.1949.59.2.221 [DOI] [PubMed] [Google Scholar]
- 6. Deshpande D, Pasipanodya JG, Srivastava S et al. Minocycline immunomodulates via sonic hedgehog signaling and apoptosis and has direct potency against drug-resistant tuberculosis. J Infect Dis 2019; 219: 975–86. 10.1093/infdis/jiy587 [DOI] [PubMed] [Google Scholar]
- 7. Gumbo T, Cirrincione K, Srivastava S. Repurposing drugs for treatment of Mycobacterium abscessus: a view to a kill. J Antimicrob Chemother 2020; 75: 1212–7. 10.1093/jac/dkz523 [DOI] [PubMed] [Google Scholar]
- 8. Ferro BE, Srivastava S, Deshpande D et al. Tigecycline is highly efficacious against Mycobacterium abscessus pulmonary disease. Antimicrob Agents Chemother 2016; 60: 2895–900. 10.1128/AAC.03112-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Singh S, Wang JY, Heysell SK et al. Omadacycline pharmacokinetics/pharmacodynamics in the hollow fiber model and clinical validation of efficacy to treat pulmonary Mycobacterium abscessus disease. Int J Antimicrob Agents 2023; 62: 106847. 10.1016/j.ijantimicag.2023.106847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Singh S, Gumbo T, Boorgula GD et al. Omadacycline pharmacokinetics/pharmacodynamics in the hollow fiber system model and potential combination regimen for short course treatment of Mycobacterium kansasii pulmonary disease. Antimicrob Agents Chemother 2022; 66: e0068722. 10.1128/aac.00687-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Chapagain M, Pasipanodya JG, Athale S et al. Omadacycline efficacy in the hollow fibre system model of pulmonary Mycobacterium avium complex and potency at clinically attainable doses. J Antimicrob Chemother 2022; 77: 1694–705. 10.1093/jac/dkac068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Shankar P, Singh S, Boorgula GD et al. Challenges and a potential solution to perform drug susceptibility testing of omadacycline against nontuberculous mycobacteria. Tuberculosis (Edinb) 2022; 137: 102269. 10.1016/j.tube.2022.102269 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Deshpande D, Magombedze G, Srivastava S et al. Once-a-week tigecycline for the treatment of drug-resistant TB. J Antimicrob Chemother 2019; 74: 1607–17. 10.1093/jac/dkz061 [DOI] [PubMed] [Google Scholar]
- 14. Rupert J, Hughes P. Sarecycline (Seysara) for the treatment of acne. Am Fam Physician 2020; 102: 245–6. [PubMed] [Google Scholar]
- 15. Grada A, Del Rosso JQ, Graber E et al. Sarecycline treatment for acne vulgaris: rationale for weight-based dosing and limited impact of food intake on clinical efficacy. Dermatol Ther 2022; 35: e15275. 10.1111/dth.15275 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. FDA . SEYSARA™ (sarecycline) tablets for oral use. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/209521s000lbl.pdf.
- 17. CLSI . Susceptibility Testing of Mycobacteria, nocardia spp., and Other Aerobic Actinomycetes—Third Edition: M24. 2018.
- 18. EUCAST . EUCAST definitions of clinical breakpoints and epidemiological cut-off values. 2009. https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/EUCAST_SOPs/EUCAST_definitions_of_clinical_breakpoints_and_ECOFFs.pdf.
- 19. Li A, Tan Z, He S et al. In vitro susceptibility testing of tetracycline-class antibiotics against slowly growing non-tuberculous mycobacteria. Clin Exp Pharmacol Physiol 2023; 50: 604–9. 10.1111/1440-1681.13777 [DOI] [PubMed] [Google Scholar]
- 20. Deshpande D, Srivastava S, Meek C et al. Ethambutol optimal clinical dose and susceptibility breakpoint identification by use of a novel pharmacokinetic-pharmacodynamic model of disseminated intracellular Mycobacterium avium. Antimicrob Agents Chemother 2010; 54: 1728–33. 10.1128/AAC.01355-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

