Novel regimens for treatment of <i>Mycobacterium avium</i> lung disease based on advanced <i>in vitro</i> systems and the mathematics of basis functions
Shashikant Srivastava, Sanjay Singh, Gunavanthi D. Boorgula, Pamela J. McShane, Tawanda Gumbo
bioRxiv (Cold Spring Harbor Laboratory) · 2026-03
Abstract
ABSTRACT Azithromycin plus ethambutol plus rifabutin (azithromycin-ethambutol-rifabutin) is the standard-of-care (SOC) for Mycobacterium avium -complex lung disease. The SOC achieves sustained sputum culture conversion in only 43-53% of patients, after an average of 18 months of therapy. Recent quantitative analyses ranked omadacycline, ceftriaxone, and minocycline highest for microbial kill. Azithromycin-minocycline-ethambutol, azithromycin-omadacycline-ethambutol, epetraborole-omadacycline-ethambutol, ceftriaxone-omadacycline-rifabutin, and the SOC were compared in the intracellular hollow fiber system model of M. avium lung disease (HFS-MAC). HFS-MAC units were treated once daily for 28 days to mimic the intrapulmonary pharmacokinetics of each drug. The ceftriaxone concentrations measured in the HFS-MAC were only 1% of those achieved in the lung by standard clinical doses. Changes in the bacterial burden were described using basis functions (BF). For liquid cultures, BF 1 (BF 1 ) was described by a linear regression-based slope, with steepest kill slope (95% Confidence interval) of 7.87 (1.52 to14.23) by ceftriaxone-omadacycline-rifabutin versus 1.04 (-0.84 to 2.92) for SOC. For the CFU/mL readout, the BF 1 steepest non-linear kill slope was for ceftriaxone-omadacycline-rifabutin of 0.55 (0.35 to 0.98) log 10 CFU/mL/day versus 0.16 (0.07 to 0.25) log 10 CFU/mL/day for the SOC. Thus, ceftriaxone-omadacycline-rifabutin is potentially better than the SOC, even though further ceftriaxone dose optimization is required. BF 2 described rebound growth and drug-resistant subpopulation growth, and demonstrated that contrary to popular belief, SOC rebound was best explained by ethambutol-resistance (r 2 >0.99, p =0.01) and not by azithromycin-resistance (r 2 =0.27, p=0.32), questioning ethambutol’s role in the SOC. The BF framework is potentially easy to adapt for modeling other anti-infective agents across many infectious diseases.
MeSH terms
- Rifabutin
- Ethambutol
- Medicine
- Sputum
- Lung disease
- Ceftriaxone
- Pharmacokinetics
- Lung
- In vitro
- Mycobacterium tuberculosis
- Antibiotics
- Rifampicin
- Mycobacterium
- NONMEM
- Minocycline
- Immunology
- Microbiology
- Disease
- Pharmacology
- Clinical trial
- Respiratory disease
- Tuberculosis
- Antibacterial agent