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1.
Phytomedicine ; 101: 154097, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35417848

ABSTRACT

BACKGROUND: Cytochrome P450 3A4 (CYP3A4) is one of the most important drug-metabolizing enzymes in the human body, mainly existing in the liver, small intestine, and kidney. Panaxytriol is one of the key active components in red ginseng and Shenmai injection. Our previous study demonstrated that panaxytriol regulates CYP3A4 expression mainly by activating pregnancy X receptor (PXR). At a high concentration of panaxytriol (80 µM), the constitutive androstane receptor (CAR) is also involved in the upregulation of CYP3A4. PURPOSE: This study investigated how the cofactors heat shock protein 90 alpha (HSP90α) and retinoid X receptor alpha (RXRα) interact with PXR and CAR to participate in the regulation of CYP3A4 by panaxytriol from the perspective of the PXR and CAR interaction. METHODS: The mRNA and protein expressions of PXR, CAR, CYP3A4, RXRα, and HSP90α in HepG2 cells and Huh-7 cells were detected by quantitative PCR and western blot analysis, respectively. The binding levels of PXR and CAR to RXRα and HSP90α were determined by co-immunoprecipitation analysis. The nuclear translocation of PXR and RXRα into HepG2 cells and human (hCAR)-silenced HepG2 cells were measured by immunofluorescence. RESULTS: In HepG2 cells and Huh-7 cells, panaxytriol (10-80 µM) upregulated CYP3A4 expression in a concentration-dependent manner by decreasing PXR binding to HSP90α and increasing PXR binding to RXRα. When hCAR was silenced, panaxytriol further enhanced CYP3A4 expression by strengthening PXR binding to RXRα, but it had no significant effect on the binding level of PXR and HSP90α. Additionally, at the high concentration of 80 µM panaxytriol, CAR binding to HSP90α was weakened while binding to RXRα was enhanced. CONCLUSION: Panaxytriol can upregulate CYP3A4 expression by promoting PXR dissociation from HSP90α and enhancing PXR binding to RXRα in HepG2 cells and Huh-7 cells. At high concentrations of panaxytriol, CAR also participates in the induction of CYP3A4 through a similar mechanism. However, in general, CAR antagonizes PXR binding to RXRα, thereby attenuating the upregulation of CYP3A4 by panaxytriol.


Subject(s)
Cytochrome P-450 CYP3A , Receptors, Steroid , Constitutive Androstane Receptor , Cytochrome P-450 CYP3A/genetics , Cytochrome P-450 CYP3A/metabolism , Enediynes , Fatty Alcohols , Hepatocytes , Humans , Pregnane X Receptor/metabolism , Receptors, Cytoplasmic and Nuclear/metabolism , Receptors, Steroid/genetics
3.
IEEE Trans Med Imaging ; 41(4): 826-835, 2022 04.
Article in English | MEDLINE | ID: mdl-34714743

ABSTRACT

Precise segmentation of teeth from intra-oral scanner images is an essential task in computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based methods often simply concatenate the raw geometric attributes (i.e., coordinates and normal vectors) of mesh cells to train a single-stream network for automatic intra-oral scanner image segmentation. However, since different raw attributes reveal completely different geometric information, the naive concatenation of different raw attributes at the (low-level) input stage may bring unnecessary confusion in describing and differentiating between mesh cells, thus hampering the learning of high-level geometric representations for the segmentation task. To address this issue, we design a two-stream graph convolutional network (i.e., TSGCN), which can effectively handle inter-view confusion between different raw attributes to more effectively fuse their complementary information and learn discriminative multi-view geometric representations. Specifically, our TSGCN adopts two input-specific graph-learning streams to extract complementary high-level geometric representations from coordinates and normal vectors, respectively. Then, these single-view representations are further fused by a self-attention module to adaptively balance the contributions of different views in learning more discriminative multi-view representations for accurate and fully automatic tooth segmentation. We have evaluated our TSGCN on a real-patient dataset of dental (mesh) models acquired by 3D intraoral scanners. Experimental results show that our TSGCN significantly outperforms state-of-the-art methods in 3D tooth (surface) segmentation.


Subject(s)
Neural Networks, Computer , Tooth , Humans , Image Processing, Computer-Assisted , Tooth/diagnostic imaging
4.
Phytomedicine ; 92: 153726, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34536821

ABSTRACT

BACKGROUND: Isomeric ursolic acid (UA) and oleanolic acid (OA) compounds have recently garnered great attention due to their biological effects. Previously, it had been shown that UA and OA can exert important pharmacological action via the protein kinase C (PKC) and nuclear factor-κB (NF-κB) signaling, and that they can induce the expression of UDP-glucuronosyltransferase 1A1 (UGT1A1) in HepG2 cells. This study aims to investigate the role of PKC/NF-κB signaling in regulating the expression of UGT1A1 and examine how UA and OA induce UGT1A1 based on this signaling pathway. METHODS: HepG2 cells, hp65-overexpressed HepG2 cell and lentivirus-hp65-shRNA silenced HepG2 cells were stimulated with PKC/NF-κB specific agonists and inhibitors for 24 h in the presence or absence of UA and OA. The expression of UGT1A1, PKC, and NF-κB were determined by qRT-PCR, western blot, and dual-luciferase reporter gene assays. RESULTS: PKC/NF-κB activation downregulates UGT1A1 expression. This effect is countered by UA and OA treatment. Phorbol 12-myristate 13-acetate (PMA) and lipopolysaccharide (LPS), the agonists of PKC and NF-κB signaling, respectively, significantly inhibit hp65-mediated UGT1A1 luciferase activity. UA, OA, and the PKC/NF-κB inhibitors suppress this effect. PMA and LPS do not affect UGT1A1 activity in p65-silenced HepG2 cells; however, UA and OA mildly influence UGT1A1 expression in these cells. CONCLUSION: The activation of PKC/NF-κB signaling can significantly downregulate UGT1A1 expression. By inhibiting the PKC/NF-κB signaling pathway, UA and OA promote UGT1A1 expression in HepG2 cells.


Subject(s)
Oleanolic Acid , Glucuronosyltransferase , NF-kappa B/metabolism , Oleanolic Acid/pharmacology , Protein Kinase C/metabolism , Signal Transduction , Triterpenes , Up-Regulation , Ursolic Acid
5.
Int J Med Sci ; 17(5): 599-608, 2020.
Article in English | MEDLINE | ID: mdl-32210709

ABSTRACT

Background: Ulcerative colitis (UC) is a chronically remittent and progressive inflammatory disorder. LRCH1 is reported to be involved in the immune-regulation of several diseases. However, the exact roles of LRCH1 in UC are still obscure. Materials and Methods: LRCH1 expression was analyzed in the inflamed mucosa and peripheral blood mononuclear cells (PBMCs) from patients with UC by quantitative RT-PCR and immunohistochemistry. Peripheral blood CD4+ T cells were transfected with lentivirus-expressing LRCH1 (LV-LRCH1) or LV-sh-LRCH1, and cytokine expression was determined by using flow cytometry, quantitative RT-PCR and ELISA. Transfected CD4+ T cells were harvested to examine the capacity of chemotaxis using Transwell plate. Results: LRCH1 expression was highly decreased in colonic mucosa and PBMCs from patients with A-UC, and negatively correlated with disease activity. Up or down regulation of LRCH1 did not affect the differentiation of CD4+ T cells, and the related cytokines expression. Moreover, LRCH1 inhibited migratory capacity of CD4+ T cells toward CXCL12 by PKCα. Conclusion: LRCH1 plays an important role in the pathogenesis of UC, possibly through modulating the migration of CD4+ T cells. Therefore, targeting LRCH1 might serve as a novel therapeutic approach in the management of UC.


Subject(s)
CD4-Positive T-Lymphocytes/physiology , Colitis, Ulcerative/metabolism , Intestinal Mucosa/metabolism , Microfilament Proteins/metabolism , Case-Control Studies , Cell Movement , Colitis, Ulcerative/immunology , Humans , Intestinal Mucosa/immunology
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