Biology subjects

Pauly, S.

Publications and source records attributed to Pauly, S..

4 recordsLinked to original sources

bioRxiv2026

Comprehensive preclinical reevaluation of PaBQU and DBQU regimens identifies lesional liability in hard-to-treat forms of tuberculosis

Murine efficacy models inform advancement of preclinical tuberculosis treatment regimens to human clinical testing. A recent human Phase 2 trial was terminated early because investigational regimens (4-months of PaBQU or DBQU) did not meet the treatment shortening criteria outlined in the Target Regimen Profile ([≤] 3 months). We queried whether a factor leading to this early termination may have been lesional liability, meaning slow or diminished onset of effect in the caseum of complex lung lesions. We conducted a translational study, comparing the easy-to-treat BALB/c mouse, lacking complex lesions, to the hard-to-treat C3HeB/FeJ mouse that develops complex human-like lesions. We evaluated traditional and novel pharmacodynamic markers (colony forming units and RS ratio), relapse outcomes and ex vivo caseum pharmacokinetics. PaBQU and DBQU were slower to elicit bactericidal activity, RS ratio activity and prevent relapse in the C3HeB/FeJ mouse than the BALB/c mouse. A reference regimen (BPaMZ) had less lesional liability than PaBQU and DBQU. Fewer drugs in PaBQU were projected to achieve target attainment in caseum compared to BPaMZ, particularly early in treatment due to slow accumulation of bedaquiline in caseum. Here, we demonstrated application of a multi-modality pharmacokinetic-pharmacodynamic analysis that compared regimen activity in the hard-to-treat C3HeB/FeJ and easy-to-treat BALB/c mouse models, identifying lesional liability of PaBQU and DBQU. Systematic interrogation of additional diverse regimens is needed to determine the value of preclinical lesional liability as a means of predicting clinical treatment shortening activity.

microbiology↗

bioRxiv2023

Use of Multiple Pharmacodynamic Measures to Deconstruct the Nix-TB Regimen in a Short-Course Murine Model of Tuberculosis

A major challenge for tuberculosis (TB) drug development is to prioritize promising combination regimens from a large and growing number of possibilities. This includes demonstrating individual drug contributions to the activity of higher-order combinations. A BALB/c mouse TB infection model was used to evaluate the contributions of each drug and pairwise combination in the clinically relevant Nix-TB regimen (bedaquiline-pretomanid-linezolid [BPaL]) during the first three weeks of treatment at human equivalent doses. RS ratio, an exploratory pharmacodynamic (PD) marker of ongoing Mycobacterium tuberculosis rRNA synthesis, to-gether with solid culture CFU and liquid culture time to positivity (TTP) were used as PD markers of treatment response in lung tissue; and their time course profiles were mathematically modeled using rate equations with pharmacologically interpretable parameters. Antimicrobial interactions were quantified using Bliss independence and Isserlis formulas. Subadditive (or antagonistic) and additive effects on bacillary load, assessed by CFU and TTP, were found for bedaquiline-pretomanid and linezolid-containing pairs, respectively. In contrast, subadditive and additive effects on rRNA synthesis were found for pretomanid-linezolid and bedaquiline-containing pairs, respectively. Additionally, accurate predictions of the response to BPaL for all three PD markers were made using only the single-drug and pairwise effects together with an assumption of negligible three-way drug interactions. The results represent an experimental and PD modeling approach aimed at reducing combinatorial complexity and improving the cost-effectiveness of in vivo systems for preclinical TB regimen development.

pharmacology and toxicology↗

bioRxiv2023

Lung microenvironments harbor Mycobacterium tuberculosis phenotypes with distinct treatment responses

Tuberculosis lung lesions are complex and harbor heterogeneous microenvironments that influence antibiotic effectiveness. Major strides have been made recently in understanding drug pharmacokinetics in pulmonary lesions, but the bacterial phenotypes that arise under these conditions and their contribution to drug tolerance is poorly understood. A pharmacodynamic marker called the RS ratio quantifies ongoing rRNA synthesis based on the abundance of newly-synthesized precursor rRNA relative to mature structural rRNA. Application of the RS ratio in the C3HeB/FeJ mouse model demonstrated that Mycobacterium tuberculosis populations residing in different tissue microenvironments are phenotypically distinct and respond differently to drug treatment with rifampin, isoniazid or bedaquiline. This work provides a foundational basis required to address how anatomic and pathologic microenvironmental niches may contribute to the long treatment duration and drug tolerance during treatment of human tuberculosis.

microbiology↗

bioRxiv2021

Combination of Mycobacterium tuberculosis RS ratio and CFU improves the ability of murine efficacy experiments to distinguish between drug treatments

Murine tuberculosis drug efficacy studies have historically monitored bacterial burden based on colony forming units of M. tuberculosis in lung homogenate. In an alternative approach, a recently described molecular pharmacodynamic marker called the RS ratio quantifies drug effect on a fundamental cellular process: ongoing ribosomal RNA synthesis. Here we evaluated the ability of different pharmacodynamic markers to distinguish between treatments in three BALB/c mouse experiments at two institutions. We confirmed that different pharmacodynamic markers measure distinct biological responses. We found that a combination of pharmacodynamic markers distinguishes between treatments better than any single marker. The combination of the RS ratio with colony forming units showed the greatest ability to recapitulate the rank order of regimen treatment-shortening activity, providing proof of concept that simultaneous assessment of pharmacodynamic markers measuring different properties will enhance insight gained from animal models and accelerate development of new combination regimens. These results suggest potential for a new era in which antimicrobial therapies are evaluated not only on culture-based measures of bacterial burden but also on molecular assays that indicate how drugs impact the physiological state of the pathogen.

microbiology↗