Gemcitabine enhances pharmacokinetic exposure of the major components of Danggui Buxue Decoction in rat via the promotion of intestinal permeability and down-regulation of CYP3A for combination treatment of non-small cell lung cancer.

CONTEXT: Danggui Buxue Decoction (DBD), a traditional Chinese medicine formula, has the potential to enhance the antitumor effect of gemcitabine in non-small cell lung cancer (NSCLC) treatment by increasing gemcitabine's active metabolites. However, whether gemcitabine affects the pharmacokinetics of DBD's major components remains unclear. OBJECTIVE: This study evaluates the herb-drug interaction between DBD's major components and gemcitabine and validates the underlying pharmacokinetic mechanism. MATERIALS AND METHODS: The pharmacokinetics of 3.6 g/kg DBD with and without a single-dose administration of 50 mg/kg gemcitabine was investigated in Sprague-Dawley rats. The effects of gemcitabine on intestinal permeability, hepatic microsomal enzymes in rat tissues, and CYP3A overexpressing HepG2 cells were determined using western blot analysis. RESULTS: The combination of gemcitabine significantly altered the pharmacokinetic profiles of DBD's major components in rats. The Cmax and AUC of calycosin-7-O-ß-d-glucoside notably increased through sodium-glucose transporter 1 (SGLT-1) expression promotion. The AUC of ligustilide and ferulic acid was also significantly elevated with the elimination half-life (t1/2) prolonged by 2.4-fold and 7.8-fold, respectively, by down-regulating hepatic CYP3A, tight junction proteins zonula occludens-1 (ZO-1) and occludin expression. DISCUSSION AND CONCLUSIONS: Gemcitabine could modulate the pharmacokinetics of DBD's major components by increasing intestinal permeability, enhancing transporter expression, and down-regulating CYP3A. These findings provide critical information for clinical research on DBD as an adjuvant for NSCLC with gemcitabine and help make potential dosage adjustments more scientifically and rationally.

Targeted nanomedicines remodeling immunosuppressive tumor microenvironment for enhanced cancer immunotherapy.

Cancer immunotherapy has significantly flourished and revolutionized the limited conventional tumor therapies, on account of its good safety and long-term memory ability. Discouragingly, low patient response rates and potential immune-related side effects make it rather challenging to literally bring immunotherapy from bench to bedside. However, it has become evident that, although the immunosuppressive tumor microenvironment (TME) plays a pivotal role in facilitating tumor progression and metastasis, it also provides various potential targets for remodeling the immunosuppressive TME, which can consequently bolster the effectiveness of antitumor response and tumor suppression. Additionally, the particular characteristics of TME, in turn, can be exploited as avenues for designing diverse precise targeting nanomedicines. In general, it is of urgent necessity to deliver nanomedicines for remodeling the immunosuppressive TME, thus improving the therapeutic outcomes and clinical translation prospects of immunotherapy. Herein, we will illustrate several formation mechanisms of immunosuppressive TME. More importantly, a variety of strategies concerning remodeling immunosuppressive TME and strengthening patients' immune systems, will be reviewed. Ultimately, we will discuss the existing obstacles and future perspectives in the development of antitumor immunotherapy. Hopefully, the thriving bloom of immunotherapy will bring vibrancy to further exploration of comprehensive cancer treatment.

A Novel Nanoprobe for Targeted Imaging and Photothermal/Photodynamic Therapy of Lung Cancer.

An effective accumulation of the photosensitive drugs in the target tissues is a vital prerequisite for obtaining the optimal photodynamic or photothermal treatment effects during the lung cancer treatment. In this study, porous Fe3O4 nanoparticles were used to efficiently load the near-infrared photosensitive drug indocyanine green (ICG) in the pores (denoted as Fe/ICG) by electrostatic adsorption. Subsequently, Fe/ICG was modified with hyaluronic acid (HA) to construct a novel target nanoprobe (denoted as Fe/ICG@HA). Fe/ICG@HA exhibited not only excellent ICG loading and stability but also a significant uptake by the lung cancer cells owing to the targeting characteristics. Meanwhile, the nanoprobe improved the efficiency of thermal conversion and generation of singlet oxygen, thereby resulting in an optimal photothermal/photodynamic therapy effect. Based on the in vivo experiments and T2-magnetic resonance (MR) imaging, the nanoprobe was confirmed to possess excellent tumor-targeting abilities. Furthermore, under 808 nm laser irradiation, a significant therapeutic effect was observed on the tumor growth in the animal models. The proposed treatment strategy may provide a functional pathway for the targeted combined photothermal/photodynamic lung cancer therapy.

Hybrid manganese dioxide-bovine serum albumin nanostructure incorporated with doxorubicin and IR780 for enhanced breast cancer chemo-photothermal therapy.

The therapeutic outcome of chemotherapy is limited, although it is still the preferent strategy for cancer therapy. By regulation of tumor microenvironment and introduction of another therapeutic manner for combination therapy can enhance the anticancer activity of chemotherapeutics. Herein, we have constructed a hybrid nanostructure which composed of manganese dioxide (MnO2) and doxorubicin (DOX) as well as IR780 by stabilizing with BSA (BMDI) in one-pot procedure to alleviate tumor hypoxia and enhance tumor growth inhibition. The MnO2 can react with H2O2 to generate oxygen, and additionally react with GSH to realize tumor microenvironment responsive drug controlled release. And the release Mn ions further enhanced the magnetic resonance signal which made the BMDI a promising contrast agent for MRI. Moreover, the introduction of MnO2 has enhanced the anticancer activity of DOX in vitro and in vivo, and efficiently suppressed the tumor growth. By further introducing with photothermal therapy (PTT), the tumor growth was almost inhibited. It demonstrated that the BMDI hybrid nanostructure has great potential in tumor growth inhibition as therapeutics carrier.

Danggui Buxue Decoction Sensitizes the Response of Non-Small-Cell Lung Cancer to Gemcitabine via Regulating Deoxycytidine Kinase and P-glycoprotein.

This study aimed to investigate whether the anti-tumor effect of gemcitabine (GEM) in non-small-cell lung cancer (NSCLC) treatment was affected by Danggui Buxue decoction (DBD), and explore the potential mechanisms. The combined use of GEM and DBD showed an enhanced tumor growth inhibition effect in a murine Lewis lung carcinoma (LLC) model. LC-MS/MS results showed that the pharmacokinetic behaviors of a GEM active metabolite, gemcitabine triphosphate (dFdCTP), were found to be altered remarkably in the peripheral blood mononuclear cells (PBMC) of DBD co-administration rats. In addition, after co-administration of DBD with GEM, Western Blot and qPCR results confirmed that the expression of deoxycytidine kinase (dCK) in tumor tissues of LLC-bearing mice were markedly increased. DBD co-administration also reversed the upregulation of P-glycoprotein (P-gp) in tumor tissues induced by GEM. Moreover, DBD could notably up-regulate the IL-12p70 and GM-CSF expression in mice serum, suggesting potential immunomodulatory activities in tumor-bearing mice. Meanwhile, DBD inhibited the P-gp efflux activity in A549 cells. Therefore, the regulation of dCK and P-gp played important roles in the alternation of GEM pharmacokinetics and the enhancement of the anti-tumor effect of GEM. DBD being a potential dCK promoter could work as an adjuvant agent to boost the anticancer effect of GEM.

Conformal Prediction Based on K-Nearest Neighbors for Discrimination of Ginsengs by a Home-Made Electronic Nose.

An estimate on the reliability of prediction in the applications of electronic nose is essential, which has not been paid enough attention. An algorithm framework called conformal prediction is introduced in this work for discriminating different kinds of ginsengs with a home-made electronic nose instrument. Nonconformity measure based on k-nearest neighbors (KNN) is implemented separately as underlying algorithm of conformal prediction. In offline mode, the conformal predictor achieves a classification rate of 84.44% based on 1NN and 80.63% based on 3NN, which is better than that of simple KNN. In addition, it provides an estimate of reliability for each prediction. In online mode, the validity of predictions is guaranteed, which means that the error rate of region predictions never exceeds the significance level set by a user. The potential of this framework for detecting borderline examples and outliers in the application of E-nose is also investigated. The result shows that conformal prediction is a promising framework for the application of electronic nose to make predictions with reliability and validity.