ABSTRACT
BACKGROUND: A drug delivery system is the method or process of administering a pharmaceutical compound to achieve a therapeutic effect in humans or animals. Such systems release the drugs at specific amounts in a specific site. The carbon based-nanomaterials have been actively used as drug carriers to treat various cancer. OBJECTIVE: This study aimed to evaluate the cytotoxic effects of DOX-GO, DOX-OMC and DOX-CNT in colon cancer cells (HT29). METHODS: We reported platforms based on graphene oxide (GO), ordered mesoporous carbon (OMC) and carbon nanotubes (CNT) to conjugate with doxorubicin (DOX). The conjugation of DOX with carbon nanomaterial was investigated by UV-Vis spectroscopy, ï¬eld emission scanning electron microscope (FE-SEM) and cyclic voltammetry (CV) methods. RESULTS: We showed that graphene oxide was a highly eï¬cient matrix. Efficient loading of DOX, 89%, 78%, and 73.5% at pH 7.0 was seen onto GO, OMC and CNT, respectively. Upon pH 4. 0 after 15 h, 69%, 61% and 61% of DOX could be released from the DOX-GO, DOX-OMC and DOX-CNT, respectively, which illustrated the significant benefits of the developed approach for carbon nanomaterial applications. In vitro cytotoxicity analysis showed greater cytotoxicity of DOX/GO, DOX/OMC and DOX/CNT in comparison with GO, OMC and CNT against HT29 colon cancer cells with cell viability of 22%, 40% and 44% after 48 h for DOX-GO, DOX-OMC and DOX-CNT, respectively. CONCLUSION: The nanohybrids based on DOX-carbon nanomaterial, because of their unique physical and chemical properties, will remarkably enhance the anti-cancer activity.
ABSTRACT
OBJECTIVES: Different factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes onset. METHODS: Data from the enrolment phase of the Tabari Cohort study was applied for this study and included 10,255 participants aged between 35–70 years. Anthropometric variables were measured by trained staff using standard tools. Blood specimens were collected for lipid profile and blood glucose measurements. Data analyses were performed using SPSS version 24, with univariate and multivariate logistic regression. RESULTS: The prevalence of diabetes mellitus was estimated to be 17.2% in the cohort population, 15.6% in men, and 18.3% in women. The adjusted odds ratios (95% confidence intervals) for age groups 40–49, 50–59 and over 60 were 2.58 (2.20–3.69), 5.80 (4.51–7.48) and 8.72 (6.67–11.39), respectively. In addition, the odds ratios (95% confidence intervals) for 2 (or more), and 1 affected family member were 4.12 (3.55–4.90) and 2.34 (2.07–2.65), respectively. Triglyceride concentrations more than 500, and abnormal high-density lipoprotein levels increased the odds of diabetes mellitus by 3.29- and 1.18-fold, respectively. CONCLUSION: The current study showed that old age and a family history were strong predictors for diabetes mellitus.
