Molecular Pharmaceutics最新文献

Platelet activation is a key factor in the development of cardiovascular diseases. High-density lipoprotein (HDL) is known for its cardioprotective activities including antithrombotic actions. While HDL mimetics have been explored for their potential to regulate thrombosis, their influence on platelet activity remains unclear. This study explores the capacity of synthetic HDL (sHDL) to modulate platelet function and investigates the underlying mechanisms. We examined the effects of sHDL, formulated with various ApoA1 mimetic peptides (18A, 5A, and 22A) and full-length ApoA1 protein, all complexed with 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), on platelet function. DMPC-based sHDL demonstrated pronounced antiplatelet effects across all formulations. Comparison with DMPC micelles showed that all sHDL molecules were more effective, highlighting the crucial role of the protein-phospholipid complex in reducing platelet reactivity. Further analysis revealed that DMPC sHDL dose-dependently inhibited various platelet functions, including aggregation, integrin activation, α-granule secretion, protein kinase C (PKC) activation, and platelet spreading. Mechanistic studies demonstrated that DMPC sHDL's antiplatelet effects are not entirely dependent on cholesterol efflux, despite effectively reducing total platelet cholesterol. Furthermore, sHDL's activity was found to be independent of scavenger receptor BI (SR-BI). Notably, inhibition of the CD36 receptor markedly attenuated sHDL's antiplatelet activity and uptake, suggesting a novel mechanism distinct from that of native HDL. In summary, DMPC sHDL modulates platelet function through a synergistic action between protein and phospholipid components, primarily via CD36 receptor engagement. These insights pave the way for novel antiplatelet therapies utilizing sHDL's distinct properties.

Early detection and precise treatment for breast cancer are crucial, given its high global incidence rate. Hence, the development of novel imaging targets is essential for diagnosing and monitoring resistance to chemotherapy, which is pivotal for achieving precise and personalized treatment for breast cancer patients. In our previous work, we successfully developed a near-infrared (NIR) probe 1 for CYP1B1-targeted imaging. In this study, we aimed to investigate the utility of the probe as a NIR fluorescence and photoacoustic dual-mode imaging probe for the detection and surveillance of breast cancer. Western blotting of cancer cell lines has confirmed that CYP1B1 is widely expressed in breast cancer and gynecological cancer. In vitro NIR fluorescence imaging capability of the probe for tracking CYP1B1-positive tumor cells was validated by using confocal microscopy. Further studies, including in vivo fluorescence and photoacoustic dual-model imaging and ex vivo biological distribution analysis on a triple-negative breast cancer xenograft mouse model, demonstrated that the probe selectively accumulated in tumor tissue within as early as 0.5 h postinjection. The results of the surgical resection experiment revealed that the tumor could be entirely removed under the guidance of NIR imaging, thereby indicating the probe's efficacy in surgical navigation. CYP1B1 expression was found to be upregulated in adriamycin (ADR)-resistant breast cancer cells, MCF-7/ADR. Consequently, the sensitivity of CYP1B1 overexpressed cells, MCF-7/1B1, to ADR was significantly reduced, with an IC₅₀ value of 0.586 ± 0.0934 μM, compared to the parental MCF-7 cells with an IC₅₀ value of 0.183 ± 0.0444 μM. In vivo and ex vivo imaging assays conducted on MCF-7/ADR tumor-bearing mice demonstrated that the probe was specifically enriched in tumor sites, suggesting its potential for monitoring chemotherapy resistance in breast cancer. This study expands the scope of application for NIR probe 1, establishing its utility in breast cancer diagnosis through fluorescence-photoacoustic dual-model imaging, monitoring of chemotherapy resistance, and guidance for surgical resection. This strategy paves the way for novel approaches to precise and personalized treatment for breast cancer patients.

Chemotherapy-induced peripheral neuropathy (CIPN) is a serious side effect of anticancer agents with limited effective preventive or therapeutic interventions. Although fenofibrate, a peroxisome proliferator-activated receptor-alpha (PPARα) agonist, has demonstrated neuroprotective and analgesic properties, its clinical utility is hindered by low receptor affinity, poor subtype selectivity, and suboptimal bioavailability. A190, a highly selective and potent nonfibrate PPARα agonist, offers a promising alternative but is limited by poor aqueous solubility, resulting in reduced oral bioavailability and therapeutic efficacy. To address these limitations, an optimized oil-in-water (o/w) microemulsion formulation was developed using Box-Behnken design to enhance the solubility and intestinal permeability of A190. The A190 microemulsion exhibited physical stability with a droplet size of approximately 100 nm and a drug loading efficiency of greater than 95%. The effective and apparent permeability of A190 from the microemulsion was significantly higher compared to that of free A190 dispersion, respectively. Additionally, no significant impact on the cell viability was observed, indicating less toxicity and a good biocompatibility of the formulation components. The oral bioavailability of A190 microemulsion was approximately 5-fold higher compared to A190 dispersion, demonstrating the microemulsion's potential to greatly enhance the oral bioavailability of hydrophobic drugs. Furthermore, our findings reveal that orally administered A190 microemulsion effectively reduced CIPN-induced mechanical hypersensitivity, likely mediated through PPARα activation. A190 microemulsion was found to be equally effective at reducing the chronic inflammatory complete Freund's adjuvant-induced pain. These results underscore A190s potential as a nonopioid therapeutic candidate, utilizing a novel microemulsion formulation for the management of chemotherapy-induced neuropathic pain and chronic inflammatory pain.

Lipid-mediated delivery of active pharmaceutical ingredients (API) opened new possibilities in advanced therapies. By encapsulating an API into a lipid nanocarrier (LNC), one can safely deliver APIs not soluble in water, those with otherwise strong adverse effects, or very fragile ones such as nucleic acids. However, for the rational design of LNCs, a detailed understanding of the composition-structure-function relationships is missing. This review presents currently available computational methods for LNC investigation, screening, and design. The state-of-the-art physics-based approaches are described, with the focus on molecular dynamics simulations in all-atom and coarse-grained resolution. Their strengths and weaknesses are discussed, highlighting the aspects necessary for obtaining reliable results in the simulations. Furthermore, a machine learning, i.e., data-based learning, approach to the design of lipid-mediated API delivery is introduced. The data produced by the experimental and theoretical approaches provide valuable insights. Processing these data can help optimize the design of LNCs for better performance. In the final section of this Review, state-of-the-art of computer simulations of LNCs are reviewed, specifically addressing the compatibility of experimental and computational insights.

Lipid nanoparticles (LNPs) are an effective delivery system for gene therapeutics. By optimizing their formulation, the physiochemical properties of LNPs can be tailored to improve tissue penetration, cellular uptake, and precise targeting. The application of these targeted delivery strategies within the LNP framework ensures efficient delivery of therapeutic agents to specific organs or cell types, thereby maximizing therapeutic efficacy. In the realm of genome editing, LNPs have emerged as a potent vehicle for delivering CRISPR/Cas components, offering significant advantages such as high in vivo efficacy. The incorporation of machine learning into the optimization of LNP platforms for gene therapeutics represents a significant advancement, harnessing its predictive capabilities to substantially accelerate the research and development process. This review highlights the dynamic evolution of LNP technology, which is expected to drive transformative progress in the field of gene therapy.

Natural killer (NK) cell immunotherapy is a significant category in tumor therapy due to its potent tumor-killing and immunomodulatory effects. This research delves into exploring the mechanisms underlying the ability of amoxicillin to boost NK cell cytotoxicity in NK cell immunotherapy. Amoxicillin significantly enhances the cytotoxic activity of NK-92MI cells against MCF-7 cells by triggering the initiation of a cytolytic program in target cell-deficient NK-92MI cells and augmenting the degranulation level of NK-92MI cells in the presence of target cells. The ability of NK cells to recognize target cells was increased upon exposure to amoxicillin at low concentration (10 ng/mL). Additionally, the utilization of amoxicillin loaded in liposome (AMO@Liposome) for NK cell immunotherapy in a mouse breast cancer model resulted in an increased antitumor effect in comparison to without the treatment of AMO@Liposome. RNA transcriptome analysis showed that amoxicillin upregulated differential genes related to the synaptic vesicle cycle pathway and calcium signaling pathway, and FOSB, TNFRSF18, and H4C1 were identified as critical players. These studies suggest that the strategy of using amoxicillin in NK cell immunotherapy has potential applications in the field of tumor therapy.

This study aimed to develop and evaluate a novel fibroblast activation protein (FAP)-specific tracer, fluorine-18-labeled fibroblast activation protein inhibitor-FUSCC-07 ([¹⁸F]F-FAPI-FUSCC-07), for use in both preclinical and clinical settings. Preclinical evaluations were conducted to assess the stability and partition coefficient of [¹⁸F]F-FAPI-FUSCC-07. Experiments involving human glioma U87MG cells demonstrated its cellular uptake and inhibitory properties. Further investigations included biodistribution analysis and micropositron emission tomography/computed tomography (PET/CT) imaging in U87MG tumor-bearing mice, which revealed strong tumor uptake and prolonged retention. In the clinical setting, [¹⁸F]F-FAPI-FUSCC-07 was compared directly with [¹⁸F]F-FAPI-42 and [¹⁸F]F-FAPI-74 to evaluate its performance in imaging various cancers. By expanding the patient cohort, the study provided a more comprehensive assessment of tracer uptake in lesions. The findings demonstrated that [¹⁸F]F-FAPI-FUSCC-07 exhibited high stability in phosphate-buffered saline and fetal bovine serum, as well as hydrophilic properties. Clinical imaging results indicated significantly higher tumor uptake and improved target-to-blood pool ratios compared to the other tracers. Moreover, PET imaging of patients with diverse cancers showed that [¹⁸F]F-FAPI-FUSCC-07 consistently provided superior image contrast in most cases. These results represent the first clinical evidence supporting the feasibility of [¹⁸F]F-FAPI-FUSCC-07 for imaging across multiple tumor types. The study highlights its potential as a promising tracer for FAPI PET imaging, offering enhanced diagnostic precision and broader applicability in oncology.

The fungal metabolite verticillin A is a potent and selective histone methyltransferase inhibitor. It regulates apoptosis, the cell cycle, and stress response, and displays potent activity in the suppression of tumor cell growth in several different in vivo models. Verticillin A sensitizes pancreatic cancer cells to anti-PD-1 immunotherapy by regulating PD-L1 expression. However, as with many natural products, delivery and systemic toxicity are challenges that must be overcome to advance their use as a chemotherapeutic. To both reduce systemic toxicity and improve delivery, we report a verticillin A-loaded surgical buttress, which is well-tolerated at a dose as high as 40 mg/kg. In contrast, free verticillin A administered systemically results in toxicity at a dose of 3 mg/kg. The verticillin A-loaded buttress suppresses tumor recurrence in vivo in a safe and dose-dependent manner against a highly aggressive and metastatic model of pancreatic cancer.