Search

Winlevi® (clascoterone) topical cream (1%, w/w) was approved by the U.S. FDA for the treatment of acne vulgaris in patients 12 years of age and older. The active ingredient, clascoterone, is not stable in physiological solutions and can hydrolyze to cortexolone at body temperature. Instability of clascoterone poses a significant challenge in accurately assessing the rate and extent of clascoterone permeation in vitro. Therefore, the purpose of this study was to develop an in vitro skin permeation test (IVPT) method, and a robust analytical method, that can minimize hydrolyzation of clascoterone during the study for quantification of clascoterone. Two IVPT methods, using either vertical diffusion cells or flow-through cells, were developed and compared to evaluate in vitro permeation of clascoterone from Winlevi. A liquid chromatography with tandem mass spectrometry (LC–MS/MS) method was developed to monitor the level of clascoterone and cortexolone in the IVPT samples. The analytical method features a 2-min high-throughput analysis with good linearity, selectivity, and showed a lower limit of quantitation (LLOQ) of 0.5 ng/mL for both clascoterone and cortexolone. The in vitro skin permeation of clascoterone and cortexolone was observed as early as 2 h in both IVPT methods. A substantive amount of clascoterone was found to hydrolyze to cortexolone when using the vertical static diffusion cells with aliquot sampling. Conversely, degradation of clascoterone was significantly minimized when using the flow-through diffusion cells with fractional sampling. The data enhanced our understanding of in vitro permeation of clascoterone following topical application of the Winlevi topical cream, 1% and underscores the importance of IVPT method development and optimization during product development. [ABSTRACT FROM AUTHOR]

Deep learning methods have developed rapidly in the field of tool condition monitoring, but due to the complexity and diversity of working conditions, it is difficult to ensure the high accuracy, strong generalization performance, and wide applicability of monitoring models. Therefore, this article proposes a deep transfer learning method with center loss for tool condition monitoring under different processing conditions. Firstly, Deep Extreme Learning Machine (DELM) is used to extract sample features and tool condition monitoring, and deep coral is integrated into the last feature extraction layer of DELM for domain adaptation. Secondly, the center loss is introduced into the transfer learning model to improve the intra-class compactness by minimizing the center loss, thereby obtaining a broader decision boundary. A tool wear experiment was conducted on a milling machine. Research shows that the proposed method can achieve the tool condition monitoring under different processing conditions. The introduction of central loss is beneficial for promoting the separation of samples from different categories in the target domain and effectively improves the model's applicability. Compared with other domain adaptation methods, this method has better accuracy and generalization ability. [ABSTRACT FROM AUTHOR]

Existing online monitoring methods for tool wear require a large number of samples, which presents difficulties in obtaining tool samples, high costs, and long-time consumption. This paper proposes a new method for monitoring tool wear with small samples to address these issues. The proposed method is based on Siamese long short-term memory neural networks, which are designed to achieve significant expansion of a small number of samples using a sample pair construction strategy. The Long short-term memory neural network is used as the basic model for automatically extracting features (reducing dimensionality) with the Euclidean distance used to calculate the distance between samples and determine the tool status of unknown samples. Validation experiments are conducted on a vertical machining center, and the results demonstrate that the proposed tool wear monitoring method can achieve high monitoring accuracy with very few samples. When the ratio of training set to test set is 1:9, the accuracy of the Siamese LSTM neural network exceeds 95%, which is higher than the accuracy of 93.29% based on the LSTM neural network. [ABSTRACT FROM AUTHOR]

Abnormal activation of epidermal growth factor receptor (EGFR) drives non-small cell lung cancer (NSCLC) development. EGFR mutations-mediated resistance to tyrosine-kinase inhibitors (TKIs) is a major hurdle for NSCLC treatment. Here, we show that F-box protein FBXL2 targets EGFR and EGFR TKI-resistant mutants for proteasome-mediated degradation, resulting in suppression of EGFR-driven NSCLC growth. Reduced FBXL2 expression is associated with poor clinical outcomes of NSCLC patients. Furthermore, we show that glucose-regulated protein 94 (Grp94) protects EGFR from degradation via blockage of FBXL2 binding to EGFR. Moreover, we have identified nebivolol, a clinically used small molecule inhibitor, that can upregulate FBXL2 expression to inhibit EGFR-driven NSCLC growth. Nebivolol in combination with osimertinib or Grp94-inhibitor-1 exhibits strong inhibitory effects on osimertinib-resistant NSCLC. Together, this study demonstrates that the FBXL2-Grp94-EGFR axis plays a critical role in NSCLC development and suggests that targeting FBXL2-Grp94 to destabilize EGFR may represent a putative therapeutic strategy for TKI-resistant NSCLC. Aberrant EGFR activation is commonly found in non-small cell lung cancer (NSCLC). Here the authors show that E3 ubiquitin ligase FBXL2 targets EGFR and EGFR tyrosine kinase inhibitor (TKI)-resistant mutants for proteasome-mediated degradation to inhibit EGFR-driven NSCLC growth and TKI resistance. [ABSTRACT FROM AUTHOR]

Amyloid-β (Aβ) peptide plays an essential role in the pathogenesis of Alzheimer's disease (AD) and is generated from amyloid-β precursor protein (APP) through sequential proteolytic cleavages by β-site APP cleaving enzyme 1 (BACE1) and γ-secretase. Trafficking dysregulation of APP, BACE1, and γ-secretase may affect Aβ generation and disease pathogenesis. Sorting nexin 15 (SNX15) is known to regulate protein trafficking. Here, we report that SNX15 is abundantly expressed in mouse neurons and astrocytes. In addition, we show that although not affecting the protein levels of APP, BACE1, and γ-secretase components and the activity of BACE1 and γ-secretase, overexpression and downregulation of SNX15 reduce and promote Aβ production, respectively. Furthermore, we find that overexpression of SNX15 increases APP protein levels in cell surface through accelerating APP recycling, whereas downregulation of SNX15 has an opposite effect. Finally, we show that exogenous expression of human SNX15 in the hippocampal dentate gyrus by adeno-associated virus (AAV) infection can significantly reduce Aβ pathology in the hippocampus and improve short-term working memory in the APPswe/PSEN1dE9 double transgenic AD model mice. Together, our results suggest that SNX15 regulates the recycling of APP to cell surface and, thus, its processing for Aβ generation. [ABSTRACT FROM AUTHOR]

Silymarin, a mixture of flavonolignans extracted from the seeds of milk thistle, is used clinically as a hepatoprotector to treat liver injuries and chronic hepatitis. However, its therapeutic effect is compromised by its poor oral bioavailability due to the poor solubility and low permeability across intestinal epithelia. The main purpose of this study was to prepare silymarin glyceryl monooleate/poloxamer 407 liquid crystalline matrices (GMO/P407 LCM) to improve the oral bioavailability of silymarin. GMO/P407 LCMs were prepared by a melting/congealing method. The isotropic phenomenon observed under polarized light microscope confirmed the liquid crystalline structure at the junction of LCM and water. Both differential scanning calorimetry and X-ray diffraction analysis confirmed disappearance of silymarin crystallinity after incorporation into the LCMs. In vitro release of silymarin from LCMs was limited, whereas LCMs were readily degraded by lipase and released silymarin quickly and completely. Pharmacokinetic study in beagle dogs showed significantly increased peak concentration for silymarin GMO/P407 LCM, and, most importantly, a 3.46-fold increase in oral bioavailability as compared with Legalon®, a commercial silymarin formulation. [ABSTRACT FROM AUTHOR]

In vivo and vitro evidence indicates that ornithine and its related metabolic products play a role in tumor development. Whether ornithine is associated with breast cancer in humans is still unclear. We examined the association between circulating ornithine levels and breast cancer in females. This 1:1 age-matched case–control study identified 735 female breast cancer cases and 735 female controls without breast cancer. All cases had a pathological test to ascertain a breast cancer diagnosis. The controls were ascertained using pathologic testing, clinical examinations, and/or other tests. Fasting blood samples were used to measure ornithine levels. The average age for cases and controls were 49.6 years (standard deviation [SD] 8.7 years) and 48.9 years (SD 8.7 years), respectively. Each SD increase in ornithine levels was associated with a 12% reduction of breast cancer risk (adjusted odds ratio [OR] 0.88; 95% confidence interval [CI] 0.79–0.97). The association between ornithine and breast cancer did not differ by pathological stages of diagnosis or tumor grades (all P for trend > 0.1). We observed no effect measure modification by molecular subtypes (P for interaction = 0.889). In conclusion, higher ornithine levels were associated with lower breast cancer risk in females. [ABSTRACT FROM AUTHOR]