Current Drug Discovery Technologies - Volume 13, Issue 2, 2016

Type 2 diabetes is a disorder of ages, which has become deadlier because of life style modification and adaptation in the modern world. Extensive sudy of the pathophysiology of diabetes has opened up various mysteries about the disease and has helped us to know and understand diabetes in a better manner. Presently, we know many minute details about the pathophysiology of diabetes mellitus and are thus well weaponed to fight against it. Treatment regime has been evolving daily. Besides the conventional anti-diabetic drugs, integrated medicinal approach for treating diabetes type 2 with a compact therapeutic approach consisting of various targeted treatments for individual symptoms associated with the disease are being tried currently. Diabetes associated complications like high blood pressure, hyperglycemia, microalbumuria, dyslipidemia, pro -coagulation, etc. are being targeted and dealt with individually in the integrative medicinal approach. The results are promising and thus ignite hope for a better and more successful handling of diabetes and diabetes related pathophysiological complications in near future.

Background and objective: Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors (EGFR-TKIs) are effective against lung adenocarcinoma. However, limited data is available assessing the effectiveness of EGFR-TKI use in preventing re-accumulation of MPE. To our knowledge, there is no literature on comparison of talc pleurodesis with EGFR-TKIs alone on re-accumulation of MPE in Asian population. We investigated if EGFR-TKI therapy for advanced lung adenocarcinoma with malignant pleural effusion (MPE) is also successful in preventing pleural fluid re-accumulation following initial drainage. Methods: An observational cohort study of patients with lung adenocarcinoma and MPE in the year 2012 was conducted. Results: 70 patients presented with MPE from lung adenocarcinoma. Fifty six underwent EGFR mutation testing of which 39 (69.6%) had activating EGFR mutation and 34 (87.1%) received TKI. 20 were managed by pleural fluid drainage only whereas 14 underwent talc pleurodesis following pleural fluid drainage. Time taken for the pleural effusion to re-accumulate in those with and without pleurodesis was 9.9 vs. 11.7 months, p=0.59 respectively. More patients (n=10, 25.6%) with activating EGFR mutation presented with complete opacification (white-out) of the hemithorax compared to none without activating EGFR mutation (p=0.02). Conclusion: In TKI eligible patients, early talc pleurodesis may not confer additional benefit in preventing re-accumulation of pleural effusion and may be reserved for non-adenocarcinoma histology, or EGFR negative adenocarcinoma. Complete opacification of the hemithorax on presentation may serve as an early radiographic signal of positive EGFR mutation status.

Introduction: Herbal medicines have been used for different illnesses. However, standardization of these medicaments should be done before introducing for treatment purposes. Ajwain an essential oil, is traditionally used for neuropathic pain. Objective: To develop and assess a gas chromatographic-based method for the quantification of thymol in Ajwain essential oil, current work was performed. Methodology: Both pure thymol and Ajwain creams were prepared and subjected to hydrodistillation method under temperature-controlled procedure to re-extract the applied essential oil and pure thymol. Previously, Ajwain seeds essential oil composition was analyzed and identified using GC/MS. After re-extraction, GC/FID was applied quantitatively to determine the thymol content in the Ajwain and thymol creams. The parameters represented in International Conference on Harmonization (ICH) guidelines were considered for the determination. Results: Thymol content in a 50 g laminated tube of Ajwain cream was calculated as 2.34 g ± 0.02. Regarding the total thymol content of a 50 g laminated tube of Thymol cream (2.43 g), recovery percent for Ajwain cream was calculated as 96.29 %. Conclusion: Using hydrodistillation for an essential oil- containing cream sample via Clevenger proved to be a simple and convenient method to work up and extract active volatile components of such semisolid formulation. However, the extraction yield was profoundly related to the condenser temperature. The current employed determination method is introduced as a rapid and reliable method and thus, can be suggested for the quality control assessment of phytopharmaceutical semisolid preparations containing thymol and similar volatile constituents.

Over expression of aldehyde dehydrogenase (ALDH1A1) is one of the vital hallmarks of the self-renewal and differentiational cancer stem cells (CSCs). Till now, no selective ALDH1A1 inhibitor is commercially available in the market. So there is an urgent need to explore some novel molecules which can selectively inhibit ALDH1A1 to combat cancer. Presently, our work deals with the development of QSAR models of some theophylline-based molecules by conventional 2D-QSAR, hologram QSAR (HQSAR), and Bayesian classification modeling. The descriptors identified from these QSAR models give avenues to modulate the structure of theophylline-based compounds to a desirable biological end point. Molecular docking study reveals the selectivity of these molecules towards ALDH1A1 (PDB: 4WP7) and important binding residues (GLY 125, 458; THR 129; TRP 178; TYR 297; PHE 171, 466; VAL 174, 460; MET 175; HIS 293 etc.) for the interaction with the receptors. The current study may help to design novel compounds as selective ALDH1A1 inhibitors.

Drug development is originally carried out on a trial and error basis and it is cost-prohibitive. To minimize the trial and error risks, drug design is needed. One of the compound development processes to get a new drug is by designing a structure modification of the mother compound whose activities are recognized. A substitution of the mother compounds alters the physicochemical properties: lipophilic, electronic and steric properties. In Indonesia, one of medical treatments to cure cancer is through chemotherapy and hydroxyurea. Some derivatives, phenylthiourea, phenylurea, benzoylurea, thiourea and benzoylphenylurea, have been found to be anticancer drug candidates. To predict the activity of the drug compound before it is synthesized, the in-silico test is required. From the test, Rerank Score which is the energy of interaction between the receptor and the ligand molecule is then obtained. Hydroxyurea derivatives were synthesized by modifying Schotten-Baumann’s method by the addition of benzoyl group and its homologs resulted in the increase of lipophilic, electronic and steric properties, and cytotoxic activity. Synthesized compounds were 1-(benzoyloxy)urea and its derivatives. Structure characterization was obtained by the spectrum of UV, IR, H NMR, C NMR and Mass Spectrometer. Anticancer activity was carried out using MTT method on HeLa cells. The Quantitative Structure-Cytotoxic Activity Relationships of 1-(benzoyloxy)urea compound and its derivatives was calculated using SPSS. The chemical structure was described, namely: ClogP, π, σ, RS, CMR and Es; while, the cytotoxic activity was indicated by log (1 / IC50). The results show that the best equation of Quantitative Structure-Cytotoxic Activity Relationships (QSAR) of 1- (benzoyloxy)urea compound and its derivatives is Log 1/IC50 = - 0.205 (+ 0.068) σ – 0.051 (+ 0.022) Es – 1.911 (+ 0.020).

Quantitative structure-activity relationships (QSAR) of imidazolium ionic liquids (ILs) as inhibitors of C. albicans collection strains (IOA-109, KCTC 1940, ATCC 10231) have been studied. Predictive QSAR models were built using different descriptor sets for a set of 88 ionic liquids with known minimum inhibitory concentrations (MIC) against C. albicans. We applied the state-of-the-art QSAR methodologies such as WEKA Random Forest (RF) as a binary classifier, Associative Neural Networks (ASNN) and k-Nearest Neighbors (k-NN) to build continuum non-linear regression models. The obtained models were validated using a 5-fold cross-validation approach and resulted in the prediction accuracies of 80% ± 5.0 for the classification models and q² = 0.73-0.87 for the non-linear regression models. Biological testing of newly synthesized 1,3-dialkylimidazolium ionic liquids with predicted activity was performed by disco-diffusion method against C. albicans ATCC 10231 M885 strain and clinical isolates C. albicans, C. krusei and C. glabrata strains. The high percentage of coincidence between the QSAR predictions and the experimental results confirmed the high predictive power of the developed QSAR models within the applicability domain of new imidazolium ionic liquids.