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1.
J Int Med Res ; 48(9): 300060520957447, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32961068

ABSTRACT

OBJECTIVE: To investigate the efficacy and safety of ab interno trabeculotomy using the VISCO360® Viscosurgical System (Sight Sciences, Inc., Menlo Park, CA, USA) combined with cataract extraction in the treatment of primary open-angle glaucoma (POAG). METHODS: Patients with POAG who underwent ab interno trabeculotomy combined with cataract extraction were retrospectively analyzed. Best-corrected visual acuity (BCVA), intraocular pressure (IOP), the number of antiglaucomatous medications, and complications were recorded preoperatively and 1 week, 1 month, 3 months, 6 months, 1 year, and 2 years postoperatively. RESULTS: Thirty-four patients (40 eyes) with POAG were included in this study, including 20 men (22 eyes) and 14 women (18 eyes). Compared with the preoperative IOP, the postoperative IOP was significantly lower at each time point. The greatest reduction in IOP was 60.7% at 1 month after surgery. The BCVA was also significantly improved at each postoperative time point. The number of antiglaucomatous medications used by the patients was significantly lower postoperatively than preoperatively. CONCLUSION: Ab interno trabeculotomy combined with cataract extraction is effective and safe for treatment of POAG.


Subject(s)
Cataract Extraction , Cataract , Glaucoma, Open-Angle , Trabeculectomy , Cataract/complications , Female , Follow-Up Studies , Glaucoma, Open-Angle/surgery , Humans , Intraocular Pressure , Male , Retrospective Studies , Treatment Outcome
2.
J Comput Aided Mol Des ; 33(8): 759-774, 2019 08.
Article in English | MEDLINE | ID: mdl-31300938

ABSTRACT

SHP2 phosphatase, encoded by the PTPN11 gene, is a non-receptor PTP, which plays an important role in growth factor, cytokine, integrin, hormone signaling pathways, and regulates cellular responses, such as proliferation, differentiation, adhesion migration and apoptosis. Many studies have reported that upregulation of SHP2 expression is closely related to human cancer, such as breast cancer, liver cancer and gastric cancer. Hence, SHP2 has become a promising target for cancer immunotherapy. In this paper, we reported the identification of compound 1 as SHP2 inhibitor. Fragment-based ligand design, De novo design, ADMET and Molecular docking were performed to explore potential selective SHP2 allosteric inhibitors based on SHP836. The results of docking studies indicated that the selected compounds had higher selective SHP2 inhibition than existing inhibitors. Compound 1 was found to have a novel selectivity against SHP2 with an in vitro enzyme activity IC50 value of 9.97 µM. Fluorescence titration experiment confirmed that compound 1 directly bound to SHP2. Furthermore, the results of binding free energies demonstrated that electrostatic energy was the primary factor in elucidating the mechanism of SHP2 inhibition. Dynamic cross correlation studies also supported the results of docking and molecular dynamics simulation. This series of analyses provided important structural features for designing new selective SHP2 inhibitors as potential drugs and promising candidates for pre-clinical pharmacological investigations.


Subject(s)
Enzyme Inhibitors/chemistry , Neoplasms/drug therapy , Protein Tyrosine Phosphatase, Non-Receptor Type 11/antagonists & inhibitors , Apoptosis/drug effects , Cell Adhesion/drug effects , Cell Differentiation/drug effects , Cell Movement/drug effects , Cell Proliferation/drug effects , Enzyme Inhibitors/pharmacology , Gene Expression Regulation, Neoplastic/drug effects , Humans , Neoplasms/genetics , Protein Tyrosine Phosphatase, Non-Receptor Type 11/chemistry , Protein Tyrosine Phosphatase, Non-Receptor Type 11/ultrastructure
3.
Comput Biol Chem ; 73: 179-188, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29494926

ABSTRACT

SHP2 is a potential target for the development of novel therapies for SHP2-dependent cancers. In our research, with the aid of the 'Receptor-Ligand Pharmacophore' technique, a 3D-QSAR method was carried out to explore structure activity relationship of SHP2 allosteric inhibitors. Structure-based drug design was employed to optimize SHP099, an efficacious, potent, and selective SHP2 allosteric inhibitor. A novel class of selective SHP2 allosteric inhibitors was discovered by using the powerful 'SBP', 'ADMET' and 'CDOCKER' techniques. By means of molecular dynamics simulations, it was observed that these novel inhibitors not only had the same function as SHP099 did in inhibiting SHP2, but also had more favorable conformation for binding to the receptor. Thus, this report may provide a new method in discovering novel and selective SHP2 allosteric inhibitors.


Subject(s)
Drug Design , Enzyme Inhibitors/pharmacology , Molecular Dynamics Simulation , Piperidines/pharmacology , Protein Tyrosine Phosphatase, Non-Receptor Type 11/antagonists & inhibitors , Pyrimidines/pharmacology , Allosteric Regulation/drug effects , Drug Evaluation, Preclinical , Enzyme Inhibitors/chemical synthesis , Enzyme Inhibitors/chemistry , Humans , Ligands , Piperidines/chemical synthesis , Piperidines/chemistry , Protein Tyrosine Phosphatase, Non-Receptor Type 11/metabolism , Pyrimidines/chemical synthesis , Pyrimidines/chemistry , Quantitative Structure-Activity Relationship
4.
Comput Biol Chem ; 73: 1-12, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29413811

ABSTRACT

Owing to its fundamental roles in cell cycle phases, the cell division cycle 25B (CDC25B) was broadly considered as potent clinical drug target for cancers. In this study, 3D QSAR pharmacophore models for CDC25B inhibitors were developed by the module of Hypogen. Three methods (cost analysis, test set prediction, and Fisher's test) were applied to validate that the models could be used to predict the biological activities of compounds. Subsequently, 26 compounds satisfied Lipinski's rule of five were obtained by the virtual screening of the Hypo-1-CDC25B against ZINC databases. It was then discovered that 9 identified molecules had better binding affinity than a known CDC25B inhibitors-compound 1 using docking studies. The molecular dynamics simulations showed that the compound had favorable conformations for binding to the CDC25B. Thus, our findings here would be helpful to discover potent lead compounds for the treatment of cancers.


Subject(s)
Enzyme Inhibitors/pharmacology , Quantitative Structure-Activity Relationship , cdc25 Phosphatases/antagonists & inhibitors , Computer-Aided Design , Drug Evaluation, Preclinical , Enzyme Inhibitors/chemical synthesis , Enzyme Inhibitors/chemistry , Molecular Dynamics Simulation , Molecular Structure , cdc25 Phosphatases/metabolism
5.
J Biomol Struct Dyn ; 36(14): 3856-3868, 2018 Nov.
Article in English | MEDLINE | ID: mdl-29125030

ABSTRACT

Noonan syndrome (NS) is a common autosomal dominant congenital disorder which could cause the congenital cardiopathy and cancer predisposition. Previous studies reported that the knock-in mouse models of the mutant D61G of SHP2 exhibited the major features of NS, which demonstrated that the mutation D61G of SHP2 could cause NS. To explore the effect of D61G mutation on SHP2 and explain the high activity of the mutant, molecular dynamic simulations were performed on wild type (WT) of SHP2 and the mutated SHP2-D61G, respectively. The principal component analysis and dynamic cross-correlation mapping, associated with secondary structure, showed that the D61G mutation affected the motions of two regions (residues Asn 58-Thr 59 and Val 460-His 462) in SHP2 from ß to turn. Moreover, the residue interaction networks analysis, the hydrogen bond occupancy analysis and the binding free energies were calculated to gain detailed insight into the influence of the mutant D61G on the two regions, revealing that the major differences between SHP2-WT and SHP2-D61G were the different interactions between Gly 61 and Gly 462, Gly 61 and Ala 461, Gln 506 and Ile 463, Gly 61 and Asn 58, Ile 463 and Thr 466, Gly 462 and Cys 459. Consequently, our findings here may provide knowledge to understand the increased activity of SHP2 caused by the mutant D61G.


Subject(s)
Amino Acid Substitution , Gain of Function Mutation , Molecular Dynamics Simulation , Protein Tyrosine Phosphatase, Non-Receptor Type 11/chemistry , Protein Tyrosine Phosphatase, Non-Receptor Type 11/genetics , Enzyme Stability , Hydrogen Bonding , Molecular Conformation , Mutation , Protein Interaction Domains and Motifs , Protein Tyrosine Phosphatase, Non-Receptor Type 11/metabolism , Structure-Activity Relationship
6.
Oncotarget ; 8(24): 38466-38481, 2017 Jun 13.
Article in English | MEDLINE | ID: mdl-28388567

ABSTRACT

PTP-MEG2 plays a critical role in the diverse cell signalling processes, so targeting PTP-MEG2 is a promising strategy for various human diseases treatments. In this study, a series of novel dibenzofuran derivatives was synthesized and assayed for their PTP-MEG2 inhibitory activities. 10a with highest inhibitory activity (320 nM) exhibited significant selectivity for PTP-MEG2 over its close homolog SHP2, CDC25 (IC50 > 50 µM). By means of the powerful ''HipHop'' technique, a 3D-QSAR study was carried out to explore structure activity relationship of these molecules. The generated pharmacophore model revealed that the one RA, three Hyd, and two HBA features play an important role in binding to the active site of the target protein-PTP-MEG2. Docking simulation study indicated that 10a achieved its potency and specificity for PTP-MEG2 by targeting unique nearby peripheral binding pockets and the active site. The absorption, distribution, metabolism and excretion (ADME) predictions showed that the 11 compounds hold high potential to be novel lead compounds for targeting PTP-MEG2. Our findings here can provide a new strategy or useful insights for designing the effective PTP-MEG2 inhibitors.


Subject(s)
Dibenzofurans/chemistry , Dibenzofurans/chemical synthesis , Enzyme Inhibitors/chemistry , Enzyme Inhibitors/chemical synthesis , Protein Tyrosine Phosphatases, Non-Receptor/antagonists & inhibitors , Drug Evaluation, Preclinical , Humans , Molecular Docking Simulation , Quantitative Structure-Activity Relationship
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