Glucose-driven transformable complex eliminates biofilm and alleviates inflamm-aging for diabetic periodontitis therapy.

Diabetic periodontitis is a major complication of diabetes, which has a deep involvement in teeth loss and more serious systematic diseases, including Alzheimer's disease, atherosclerosis and cancers. Diabetic periodontitis is difficult to treat because of recalcitrant infection and hyperglycemia-induced tissue dysfunction. Current treatments fail to completely eliminate infection due to the diffusion-reaction inhibition of biofilm, and ignore the tissue dysfunction. Here, we design a glucose-driven transformable complex, composed of calcium alginate (CaAlg) hydrogel shell and Zeolitic imidazolate framework-8 (ZIF-8) core encapsulating Glucose oxidase (GOx)/Catalase (CAT) and Minocycline (MINO), named as CaAlg@MINO/GOx/CAT/ZIF-8 (CMGCZ). The reaction product of glucose-scavenging, gluconic acid, could dissolve ZIF-8 core and transform CMGCZ from inflexible to flexible, facilitating the complex to overcome the diffusion-reaction inhibition of biofilm. Meanwhile, reduced glucose concentration could ameliorate the pyroptosis of macrophages to decrease the secretion of pro-inflammatory factors, thereby reducing inflamm-aging to alleviate periodontal dysfunction.

Machine learning-based models for predicting gas breakthrough pressure of porous media with low/ultra-low permeability.

Gas breakthrough pressure is a significant parameter for the gas exploration and safety evaluation of engineering barrier systems in the carbon dioxide storage, remediation of contaminated sites, and deep geological repository for disposal of high-level nuclear waste, etc. Test for determining gas breakthrough pressure is very difficult and time-consuming, due to the low/ultra-low conductivity of the specimen. It is also difficult to get a comprehensive and high-precision model based on limited results obtained through individual experiments, as the measurements of gas breakthrough pressure were influenced by many factors. In this study, a collected database was built that covered a lot of former test data, and then, two models were developed by the random forest (RF) algorithm and multiexpression programming (MEP) method. The MEP model constructed with explicit expressions for the gas breakthrough pressure overcame the drawbacks of common "black box" models. Meanwhile, five significant indicators were selected from ten common features using the permutation importance algorithm. The RF model was interpreted by the Shapley value and the PDP/ICE plots, while the MEP model was analyzed through the proposed explicit expression, showing strong consistence with that in former studies. Finally, robustness analysis was conducted, and stability of the proposed two models was verified.

High minichromosome maintenance protein 7 proliferation indices: a powerful predictor of progression in pancreatic neuroendocrine neoplasms without distant metastasis at the time of surgery.

Pancreatic neuroendocrine neoplasms (PanNENs) have an unpredictable clinical course that varies from indolent to highly malignant. No immunohistochemical markers are available for reliable prediction of the biological behavior of early stage PanNENs. Minichromosome maintenance protein 7 (MCM7) is a putative powerful marker of cell proliferation. Whether the expression of MCM7 is related to the risk of PanNENs progression remains unclear. We assessed the clinical behavior of 156 PanNENs with respect to stage, grade, Ki-67 index, MCM7 index, and other pathologic features. A high MCM7 index was significantly associated with larger tumor size (P < .001), nonfunctioning tumor (P < .001), increased grade (P < .0001), and later TNM stage (P < .001). In multivariate analysis, G2/G3 (hazard ratio [HR], 2.21; 95% confidence interval [CI], 1.35-3.62; P < .001), stage III/IV (HR, 2.11; 95% CI, 1.31-3.41; P < .001), and MCM7 labeling index >5% (HR, 3.81; 95% CI, 1.30-11.17; P = .02) were independent negative prognostic factors related to the risk of tumor progression in stage I-IV disease. MCM7 labeling index >5% was associated with an increased risk of progression in stages I-V, I-III, and I-II. Our study confirms that MCM7 is a valuable marker for assessing the progression of PanNENs, especially in patients with early stage disease and without distant metastasis.

Silencing of uPAR via RNA interference inhibits invasion and migration of oral tongue squamous cell carcinoma.

Overexpression of urokinase-type plasminogen activator receptor (uPAR) has been implicated in promoting tumor invasion in various cancer types, including oral tongue squamous cell carcinoma (OTSCC); therefore, the effect of suppressing uPAR expression on the invasive and metastatic potential of OTSCC was investigated. A total of 65 paraffin-embedded tissues were obtained from patients with OTSCC. Immunohistochemistry was used to determine the expression level of uPAR. The Ts cells transfected with short hairpin RNA targeting uPAR were constructed and validated. The cells were used in a number of in vitro analyses, including migration, invasion and western blot analysis assays. Furthermore, a mouse lung metastatic model was used to detect the metastatic ability of OTSCC cells in the lungs. OTSCC cell metastasis and relapse were determined to be associated with uPAR immunopositivity. Inhibition of uPAR expression in Ts cells demonstrated a 40% decrease in migration and a 60% decrease in invasion in vitro, with an associated downregulation of matrix metalloprotease (MMP)-2, MMP-9 and phosphorylated extracellular signal-regulated kinase. In vivo analysis indicated a 90% decrease in the number of mice bearing macroscopic lung metastases. In conclusion, the present study demonstrated that the targeting of uPAR-inhibited cellular proliferation and invasion would provide a potential treatment for OTSCC in the future.

Predicting the Conformational Variability of Abl Tyrosine Kinase using Molecular Dynamics Simulations and Markov State Models.

Understanding protein conformational variability remains a challenge in drug discovery. The issue arises in protein kinases, whose multiple conformational states can affect the binding of small-molecule inhibitors. To overcome this challenge, we propose a comprehensive computational framework based on Markov state models (MSMs). Our framework integrates the information from explicit-solvent molecular dynamics simulations to accurately rank-order the accessible conformational variants of a target protein. We tested the methodology using Abl kinase with a reference and blind-test set. Only half of the Abl conformational variants discovered by our approach are present in the disclosed X-ray structures. The approach successfully identified a protein conformational state not previously observed in public structures but evident in a retrospective analysis of Lilly in-house structures: the X-ray structure of Abl with WHI-P154. Using a MSM-derived model, the free energy landscape and kinetic profile of Abl was analyzed in detail highlighting opportunities for targeting the unique metastable states.

Biological Characteristics of Cluster of Differentiation 147 and Its Relationship with Tumour.

Cluster of differentiation 147(CD147)/extracellular matrix metalloproteinase inducer (EMMPRIN) is a widely distributed transmembrane glycoprotein that belongs to the immunoglobulin superfamily and is highly enriched on the surface of malignant tumour cells. A major function of CD147 is to stimulate matrix metalloproteinase production in stromal fibroblasts and endothelial cells. CD147 promotes growth,invasion,metastasis,and glycolysis of malignant cells,induces angiogenesis,multidrug resistance,and anoikis resistance,and inhibits starvation-induced autophagy et al. This review focuses on the structural and biological characteristics of CD147 as well as recent advances in its multiple functions in malignant tumours and underlining mechanisms.

Knowledge-Based Strategy to Improve Ligand Pose Prediction Accuracy for Lead Optimization.

Accurately predicting how a small molecule binds to its target protein is an essential requirement for structure-based drug design (SBDD) efforts. In structurally enabled medicinal chemistry programs, binding pose prediction is often applied to ligands after a related compound's crystal structure bound to the target protein has been solved. In this article, we present an automated pose prediction protocol that makes extensive use of existing X-ray ligand information. It uses spatial restraints during docking based on maximum common substructure (MCS) overlap between candidate molecule and existing X-ray coordinates of the related compound. For a validation data set of 8784 docking runs, our protocol's pose prediction accuracy (80-82%) is almost two times higher than that of one unbiased docking method software (43%). To demonstrate the utility of this protocol in a project setting, we show its application in a chronological manner for a number of internal drug discovery efforts. The accuracy and applicability of this algorithm (>70% of cases) to medicinal chemistry efforts make this the approach of choice for pose prediction in lead optimization programs.

Mannan-conjugated adenovirus enhanced gene therapy effects on murine hepatocellular carcinoma cells in vitro and in vivo.

The incidence of advanced hepatocellular carcinoma (HCC) is increasing worldwide, and its prognosis is extremely poor. For some patients for whom surgical treatments are not appropriate, one can only rely on chemotherapy. In the conventional chemotherapy, side effects usually occurred in most cases due to high toxicity levels. Moreover, the development of drug resistance toward chemotherapeutic agents often prevents the successful long-term use of chemotherapy for HCC. Gene therapy represents the exciting biotechnological advance that may revolutionize the conventional fashion of cancer treatment. Overexpression of phosphatase and tensin homologue (PTEN) in cancer cells carrying deletion/mutant type of it can induce the apoptosis of cancer cells and inhibit cell proliferation. In this work, in order to make full use of the high transfectivity of adenovirus, we managed to conjugate the polysaccharide mannan (polymannose) to the surface of the adenovirus chemically under appropriate oxidizing conditions to prepare the mannan-modified adenovirus (Man-Ad5-PTEN). The cytotoxicity and anticancer activity of Man-Ad5-PTEN were assessed in vitro. Reporter gene expression of LacZ transferred by Man-Ad5-LacZ was verified on mannose receptor-deficient NIH/3T3 cells versus mannose receptor-efficient macrophages. Hepatocellular carcinoma cell lines transduced by mannan-modified adenovirus were assayed for cell cycle, apoptosis, invasion, and migration. Further, we detected the antitumor effect on intraperitoneal H22 tumor-bearing mice treated by Man-Ad5-PTEN alone or combined with chemotherapeutic agent of doxorubicin. The results demonstrated that cell growth suppression was not observed in Chang normal hepatocyte cells and the cell killing by Man-Ad5-PTEN is tumor selective. Further, the results showed that the strategy of mannan conjugation could enhance adenovirus-mediated PTEN gene therapy effects on murine hepatocellular carcinoma cells in vitro and in vivo.

An orally bioavailable chemical probe of the Lysine Methyltransferases EZH2 and EZH1.

EZH2 or EZH1 is the catalytic subunit of the polycomb repressive complex 2 that catalyzes methylation of histone H3 lysine 27 (H3K27). The trimethylation of H3K27 (H3K27me3) is a transcriptionally repressive post-translational modification. Overexpression of EZH2 and hypertrimethylation of H3K27 have been implicated in a number of cancers. Several selective inhibitors of EZH2 have been reported recently. Herein we disclose UNC1999, the first orally bioavailable inhibitor that has high in vitro potency for wild-type and mutant EZH2 as well as EZH1, a closely related H3K27 methyltransferase that shares 96% sequence identity with EZH2 in their respective catalytic domains. UNC1999 was highly selective for EZH2 and EZH1 over a broad range of epigenetic and non-epigenetic targets, competitive with the cofactor SAM and non-competitive with the peptide substrate. This inhibitor potently reduced H3K27me3 levels in cells and selectively killed diffused large B cell lymphoma cell lines harboring the EZH2(Y641N) mutant. Importantly, UNC1999 was orally bioavailable in mice, making this inhibitor a valuable tool for investigating the role of EZH2 and EZH1 in chronic animal studies. We also designed and synthesized UNC2400, a close analogue of UNC1999 with potency >1,000-fold lower than that of UNC1999 as a negative control for cell-based studies. Finally, we created a biotin-tagged UNC1999 (UNC2399), which enriched EZH2 in pull-down studies, and a UNC1999-dye conjugate (UNC2239) for co-localization studies with EZH2 in live cells. Taken together, these compounds represent a set of useful tools for the biomedical community to investigate the role of EZH2 and EZH1 in health and disease.

Exploiting an allosteric binding site of PRMT3 yields potent and selective inhibitors.

Protein arginine methyltransferases (PRMTs) play an important role in diverse biological processes. Among the nine known human PRMTs, PRMT3 has been implicated in ribosomal biosynthesis via asymmetric dimethylation of the 40S ribosomal protein S2 and in cancer via interaction with the DAL-1 tumor suppressor protein. However, few selective inhibitors of PRMTs have been discovered. We recently disclosed the first selective PRMT3 inhibitor, which occupies a novel allosteric binding site and is noncompetitive with both the peptide substrate and cofactor. Here we report comprehensive structure-activity relationship studies of this series, which resulted in the discovery of multiple PRMT3 inhibitors with submicromolar potencies. An X-ray crystal structure of compound 14u in complex with PRMT3 confirmed that this inhibitor occupied the same allosteric binding site as our initial lead compound. These studies provide the first experimental evidence that potent and selective inhibitors can be created by exploiting the allosteric binding site of PRMT3.

Discovery of a chemical probe for the L3MBTL3 methyllysine reader domain.

We describe the discovery of UNC1215, a potent and selective chemical probe for the methyllysine (Kme) reading function of L3MBTL3, a member of the malignant brain tumor (MBT) family of chromatin-interacting transcriptional repressors. UNC1215 binds L3MBTL3 with a K(d) of 120 nM, competitively displacing mono- or dimethyllysine-containing peptides, and is greater than 50-fold more potent toward L3MBTL3 than other members of the MBT family while also demonstrating selectivity against more than 200 other reader domains examined. X-ray crystallography identified a unique 2:2 polyvalent mode of interaction between UNC1215 and L3MBTL3. In cells, UNC1215 is nontoxic and directly binds L3MBTL3 via the Kme-binding pocket of the MBT domains. UNC1215 increases the cellular mobility of GFP-L3MBTL3 fusion proteins, and point mutants that disrupt the Kme-binding function of GFP-L3MBTL3 phenocopy the effects of UNC1215 on localization. Finally, UNC1215 was used to reveal a new Kme-dependent interaction of L3MBTL3 with BCLAF1, a protein implicated in DNA damage repair and apoptosis.

Assessment of free energy predictors for ligand binding to a methyllysine histone code reader.

Methyllysine histone code readers constitute a new promising group of potential drug targets. For instance, L3MBTL1, a malignant brain tumor (MBT) protein, selectively binds mono- and di-methyllysine epigenetic marks (KMe, KMe(2) ) that eventually results in the negative regulation of multiple genes through the E2F/Rb oncogenic pathway. There is a pressing need in potent and selective small-molecule probes that would enable further target validation and might become therapeutic leads. Such an endeavor would require efficient tools to assess the free energy of protein-ligand binding. However, due to an unparalleled function of the MBT binding pocket (i.e., selective binding to KMe/KMe(2) ) and because of its distinctive structure representing a small aromatic "cage," an accurate assessment of its binding affinity to a ligand appears to be a challenging task. Here, we report a comparative analysis of computationally affordable affinity predictors applied to a set of seven small-molecule ligands interacting with L3MBTL1. The analysis deals with novel ligands and targets, but applies widespread computational approaches and intuitive comparison metrics that makes this study compatible with and incremental to earlier large scale accounts on the efficiency of affinity predictors. Ultimately, this study has revealed three top performers, far ahead of the other techniques, including two scoring functions, PMF04 and PLP, along with a simulation-based method MM-PB/SA. We discuss why some methods may perform better than others on this target class, the limits of their application, as well as how the efficiency of the most CPU-demanding techniques could be optimized.

Drug discovery toward antagonists of methyl-lysine binding proteins.

The recognition of methyl-lysine and -arginine residues on both histone and other proteins by specific "reader" elements is important for chromatin regulation, gene expression, and control of cell-cycle progression. Recently the crucial role of these reader proteins in cancer development and dedifferentiation has emerged, owing to the increased interest among the scientific community. The methyl-lysine and -arginine readers are a large and very diverse set of effector proteins and targeting them with small molecule probes in drug discovery will inevitably require a detailed understanding of their structural biology and mechanism of binding. In the following review, the critical elements of methyl-lysine and -arginine recognition will be summarized with respect to each protein family and initial results in assay development, probe design, and drug discovery will be highlighted.

Targets in epigenetics: inhibiting the methyl writers of the histone code.

Growing evidence suggests that protein lysine methyltransferases (PKMTs) and protein arginine methyltransferases (PRMTs) are associated with the development of various human diseases, including cancer, inflammation, and psychiatric disorders. Given the significant role of these proteins in human disease, efforts to discover selective small-molecule inhibitors of these enzymes are quickly gaining momentum. In this review, we focus on the recent progress in the discovery of selective PKMT and PRMT inhibitors. A future perspective on developing methyltransferase inhibitors is also offered.

Growth of ameloblast-lineage cells in a three-dimensional Matrigel environment.

Enamel organ epithelial cells grow in culture as two distinct cell populations--either stellate-shaped or polygonal-shaped cells. The polygonal cells have an ameloblast cell phenotype and are difficult to grow in culture beyond two passages. This study was designed to determine the effects of a Matrigel three-dimensional (3D) environment on polygonal cells, as compared with stellate cells, derived from porcine tooth enamel organ. Enamel organs were dissected free from the unerupted molars of 30-kg pigs and then grown in LCH-8e media, either with or without serum. Cells grown in serum-free media were primarily polygonal shaped, whereas cells grown in media containing serum were stellate shaped. Both types of cells were grown in a 3D Matrigel matrix. In addition, polygonal-shaped cells were mixed with hydroxyapatite powder and transplanted subcutaneously into nude mice. Polygonal-shaped epithelial cells formed cell groups, similar to epithelial pearls, both in vitro and in vivo. The stellate-shaped cells, in contrast, did not form similar structures, but remained suspended in the Matrigel and gradually disappeared from the culture. These results suggest that a Matrigel environment, rich in basement membrane and matrix proteins, selects for polygonal-shaped ameloblast-lineage cells and induces the formation of epithelial pearls.