Molecular Pharmaceutics最新文献

In head and neck squamous cell carcinoma (HNSCC), the mesenchymal epithelial transition (MET) receptor drives cancer growth, proliferation, and metastasis. MET is known to be overexpressed in HNSCC and, therefore, is an appealing therapeutic target. In this study, we evaluated MET expression in patients with HNSCC and investigated the potential imaging application of a novel MET-binding single-domain camelid antibody using positron emission tomography/computed tomography (PET/CT) in a preclinical MET-expressing HNSCC model. Multiplex immunostaining for MET protein performed on a tissue microarray from 203 patients with HNSCC found 86% of patients to have MET expression, with 14% having high expression and 53% having low MET expression. Using The Cancer Genome Atlas (TCGA) database, high MET RNA expression was associated with worse progression-free survival and overall survival in patients with HPV-negative HSNCC. Utilizing flow cytometry and immunofluorescence, our novel camelid antibody fused to a human IgG Fc chain (1E7-Fc) showed high binding affinity and specificity to high MET-expressing Detroit 562 cells but not to low MET-expressing HNSCC cells. The efficacy and biodistribution of [⁸⁹Zr]Zr-1E7-Fc as a PET imaging agent was then investigated in a MET-expressing head and neck xenograft model. [⁸⁹Zr]Zr-1E7-Fc rapidly localized and showed high tumor uptake in Detroit 562 xenografts (8.4% ID/g at 72 h postinjection), with rapid clearance from the circulatory system (2.7 tumor-to-blood radioactivity ratio at 72 h postinjection). Our preclinical data suggest that the camelid antibody 1E7-Fc could be a potential theranostic agent for HNSCC. Further investigations are warranted to confirm these findings in patients and to evaluate 1E7-Fc as an imaging agent and platform to deliver radionuclide or drug therapy to MET-driven cancers.

Early-phase manufacturability assessment of high-concentration therapeutic monoclonal antibodies (mAbs) involves screening of process-related risks impacting their translation into the clinic. Manufacturing a mAb at scale relies on cost-effective and robust approaches to derisk manufacturability parameters, such as viscosity, conformational stability, aggregation, and process-related impurities. Using a panel of model anti-IL-8 IgG1 mutants, we investigate upstream and downstream processability, phase behavior, and process-related impurities. We correlate trends in the biophysical properties of mAbs with their cell growth, expression, filtration flux, solubility, and post-translational modifications. We find significant trends in increased relative free light chain expression with heavy chain mutants and detect a requirement for adjusted operation pH for cation exchange polishing steps with charge-altering variants. Moreover, trends between phase stability and high-concentration viscosity were observed. We also investigated unique correlations between increased glycosylation and biophysical behavior. Further in-depth analysis and modeling are required to elucidate the impact of the mAb sequence on the metabolism of the expression system, solubility limits, and alternative gelation models as future directions.

Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effectiveness, playing an important role in the drug development process. Focusing on the difficult task of predicting PK parameters, we compiled an extensive data set comprising parameters across multiple species. Building upon this groundwork, we introduced the PKStack ensemble model to predict PK parameters across diverse species. PKStack integrates a variety of base models and includes uncertainty in its predictions. We also manually collected PK data from animals as an external test set. We predicted a total of 45 tasks for nine PK parameters in five species, and in general, the prediction accuracy was better for intravenous injections, including parameters such as human V_d (R² = 0.72, RMSE = 0.31), human CL (R² = 0.52, RMSE = 0.32), and others. In addition to predictive accuracy, we also considered the interpretability of the results and the definition of the model’s application domain. Based on the findings, our model has great potential for practical applications in drug discovery.

Early-phase manufacturability assessment of high-concentration therapeutic monoclonal antibodies (mAbs) involves screening of process-related risks impacting their translation into the clinic. Manufacturing a mAb at scale relies on cost-effective and robust approaches to derisk manufacturability parameters, such as viscosity, conformational stability, aggregation, and process-related impurities. Using a panel of model anti-IL-8 IgG1 mutants, we investigate upstream and downstream processability, phase behavior, and process-related impurities. We correlate trends in the biophysical properties of mAbs with their cell growth, expression, filtration flux, solubility, and post-translational modifications. We find significant trends in increased relative free light chain expression with heavy chain mutants and detect a requirement for adjusted operation pH for cation exchange polishing steps with charge-altering variants. Moreover, trends between phase stability and high-concentration viscosity were observed. We also investigated unique correlations between increased glycosylation and biophysical behavior. Further in-depth analysis and modeling are required to elucidate the impact of the mAb sequence on the metabolism of the expression system, solubility limits, and alternative gelation models as future directions.

Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effectiveness, playing an important role in the drug development process. Focusing on the difficult task of predicting PK parameters, we compiled an extensive data set comprising parameters across multiple species. Building upon this groundwork, we introduced the PKStack ensemble model to predict PK parameters across diverse species. PKStack integrates a variety of base models and includes uncertainty in its predictions. We also manually collected PK data from animals as an external test set. We predicted a total of 45 tasks for nine PK parameters in five species, and in general, the prediction accuracy was better for intravenous injections, including parameters such as human V_d (R² = 0.72, RMSE = 0.31), human CL (R² = 0.52, RMSE = 0.32), and others. In addition to predictive accuracy, we also considered the interpretability of the results and the definition of the model's application domain. Based on the findings, our model has great potential for practical applications in drug discovery.

Ischemic stroke is a devastating disease that causes neuronal death, neuroinflammation, and other cerebral damage. However, effective therapeutic strategies for ischemic stroke are still lacking. Histone deacetylase 6 (HDAC6) has been implicated in the pathogenesis of ischemic stroke, and the pharmacological inhibition of HDAC6 has shown promising neuroprotective effects. In this study, we utilized positron emission tomography (PET) imaging with the HDAC6-specific radioligand [¹⁸F]PB118 to investigate the dynamic changes of HDAC6 expression in the brain after ischemic injury. The results revealed a significant decline in [¹⁸F]PB118 uptake in the ipsilateral hemisphere on the first day after ischemia, followed by a gradual increase on days 4 and 7. To evaluate the therapeutic potential of HDAC6 inhibitors, we developed a novel brain-permeable and potent HDAC6 inhibitor, PB131, and assessed its neuroprotective effects in an ischemic stroke mouse model. PET imaging studies demonstrated that PB131 treatment alleviated the decline in [¹⁸F]PB118 uptake and reduced the infarct size in middle cerebral artery occlusion mice. Furthermore, PET imaging with the TSPO-specific radioligand [¹⁸F]FEPPA revealed that PB131 significantly suppressed neuroinflammation in the ischemic brain. These findings provide insights into the dynamic changes of HDAC6 in ischemic stroke and the potential of HDAC6 inhibitors as novel therapeutic agents for this condition.

After initial triaging using in vitro absorption, distribution, metabolism, and excretion (ADME) assays, pharmacokinetic (PK) studies are the first application of promising drug candidates in living mammals. Preclinical PK studies characterize the evolution of the compound’s concentration over time, typically in rodents’ blood or plasma. From this concentration–time (C–t) profiles, PK parameters such as total exposure or maximum concentration can be subsequently derived. An early estimation of compounds’ PK offers the promise of reducing animal studies and cycle times by selecting and designing molecules with increased chances of success at the PK stage. Even though C–t curves are the major readout from a PK study, most machine learning-based prediction efforts have focused on the derived PK parameters instead of C–t profiles, likely due to the lack of approaches to model the underlying ADME mechanisms. Herein, a novel deep learning approach termed DeepCt is proposed for the prediction of C–t curves from the compound structure. Our methodology is based on the prediction of an underlying mechanistic compartmental PK model, which enables further simulations, and predictions of single- and multiple-dose C–t profiles.

Ischemic stroke is a devastating disease that causes neuronal death, neuroinflammation, and other cerebral damage. However, effective therapeutic strategies for ischemic stroke are still lacking. Histone deacetylase 6 (HDAC6) has been implicated in the pathogenesis of ischemic stroke, and the pharmacological inhibition of HDAC6 has shown promising neuroprotective effects. In this study, we utilized positron emission tomography (PET) imaging with the HDAC6-specific radioligand [¹⁸F]PB118 to investigate the dynamic changes of HDAC6 expression in the brain after ischemic injury. The results revealed a significant decline in [¹⁸F]PB118 uptake in the ipsilateral hemisphere on the first day after ischemia, followed by a gradual increase on days 4 and 7. To evaluate the therapeutic potential of HDAC6 inhibitors, we developed a novel brain-permeable and potent HDAC6 inhibitor, PB131, and assessed its neuroprotective effects in an ischemic stroke mouse model. PET imaging studies demonstrated that PB131 treatment alleviated the decline in [¹⁸F]PB118 uptake and reduced the infarct size in middle cerebral artery occlusion mice. Furthermore, PET imaging with the TSPO-specific radioligand [¹⁸F]FEPPA revealed that PB131 significantly suppressed neuroinflammation in the ischemic brain. These findings provide insights into the dynamic changes of HDAC6 in ischemic stroke and the potential of HDAC6 inhibitors as novel therapeutic agents for this condition.