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BACKGROUND The aim of this study was to assess the learning curve of one anastomosis gastric bypass (OAGB-MGB) at the start of a low volume bariatric unit and analyze its impact as a preceding procedure to Roux-en Y gastric bypass (RYGB). METHODS From January 2014 to December 2017, all patients who underwent bariatric surgeries in our teaching hospital that were performed by the same surgeon were enrolled. The first 47 patients who underwent OAGB-MGB were assigned to group A. RYGB has been offered as a treatment option since July 2016; thereafter, 26 patients who underwent OAGB-MGB and 32 patients who underwent RYGB at the same time interval were assigned to group B and group C, respectively. [https://www.selleckchem.com/products/pifithrin-u.html Pifithrinμ] Baseline characteristics, perioperative outcomes and percentage of total weight loss (%TWL) up to 12 months postoperatively were collected and analyzed between groups. RESULTS Compared to the patients in group C, those in groups A and B were older (39.4 yrs. and 42.2 yrs., respectively, vs. 34.2 yrs.; p = 0.021) and predce for RYGB in terms of acceptable operation time and length of stay without an increase in complications.BACKGROUND Major adverse cardiovascular events are the main cause of morbidity and mortality over the long term in patients undergoing carotid endarterectomy. There are few reports assessing the prognostic value of markers of inflammation in relation to the risk of cardiovascular disease after carotid endarterectomy. Here, we aimed to determine whether matrix metalloproteinases (MMP-1, MMP-2, MMP-7, MMP-9 and MMP-10), tissue inhibitor of MMPs (TIMP-1) and in vivo inflammation studied by 18F-FDG-PET/CT predict recurrent cardiovascular events in patients with carotid stenosis who underwent endarterectomy. METHODS This prospective cohort study was carried out on 31 consecutive patients with symptomatic (23/31) or asymptomatic (8/31) severe (&gt; 70%) carotid stenosis who were scheduled for carotid endarterectomy between July 2013 and March 2016. In addition, 26 healthy controls were included in the study. Plasma and serum samples were collected 2 days prior to surgery and tested for MMP-1, MMP-2, MMP-7, MMP-9, MMP-ional risk factors (HR = 1.15 P = .006). When the model was associated with the variables of interest, the risk predicted by 18F-FDG-PET was not significant. CONCLUSIONS Circulating MMP-7 may represent a novel marker for recurrent cardiovascular events in patients with moderate to severe carotid stenosis. MMP-7 may reflect the atherosclerotic burden but not plaque inflammation in this specific vascular territory.BACKGROUND Drug-drug interactions are undesirable, as they reduce drug bioavailability. Drug-reagent interactions in biochemical tests may directly affect the accuracy of test results. OBJECTIVE The aim of the present study was to investigate the impact of drug-reagent interactions of drugs used in cardiology on different cardiac markers (troponin I, Nt-proBNP, CK-MB mass, CK, AST, and LDH) and the D-dimer test. METHOD Eleven drugs (enoxaparin, tirofiban hydrochloride monohydrate, diltiazem, glyceryl trinitrate, metoprolol, epinephrine, heparin sodium, atropine sodium, furosemide, norepinephrine tartrate, and amiodarone HCl) were tested in an interference study. The interference protocol was applied to the control material of troponin I, CK-MB mass, Nt-proBNP, CK, AST, LDH tests with 11 different drugs and performed with analyzers. Cardiac Markers Plus Control (Bio-Rad, Irvine, CA, USA; Lot 23662) materials were used to assess the impact of drug-reagent interactions on the accuracy of tests of cardiac markerseagent interactions. Minimal deviations in the CK, AST, and LDH tests were observed using spectrophotometric methods. Thus, changes in test results may be due to drug interference rather than the treatment itself. Clinicians should consider the possibility of drug interference in cases of doubtful cardiac test results that do not comply with the diagnosis. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.BACKGROUND Cancer is characterized by overexpression of p53 associated proteins, which down-regulate P53 signalling pathway. In cancer therapy, p53 activity can be restored by inhibiting the interaction of MDMX (2N0W) and MDM2 (4JGR) proteins with P53 protein. OBJECTIVE In the current study in silico approaches were adapted to use a natural product as a source of cancer therapy. METHOD In the current study in silico approaches were adapted to use a natural product as a source of cancer therapy. For in silico studies, Chemdraw and Molecular Operating Environment were used for structure drawing and molecular docking respectively. Flavonoids isolated from D. carota were docked with cancerous proteins. RESULT Based on the docking score analysis, we found that compound7 was the potent inhibitor of both cancerous proteins and can be used as a potent molecule for inhibition of 2N0W and 4JGR interaction with p53. CONCLUSION Thus the compound7 can be used for the revival of p53 signaling pathway function however, intensive in vitro and in vivo experiments are required to prove the in silico analysis. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.BACKGROUND Heart attack predominantly occurs during the last phase of sleep and early morning hours, causing millions of death worldwide. Hydrochlorothiazide (HCTZ) is recommended drug for the prevention of heart disease but its long action (&gt;4 h) dosage form is lacking in the commercial market and development of extended-release formulation may have industrial significance. Regulatory agencies emphasize Quality by Design based approach for product development to entrust quality in the product. OBJECTIVE Aim of the current research was to develop a quality product profile of HCTZ modified-release tablets (MRT; ~14 h) by applying Response Surface Methodology using computational QbD approach. METHODS Three independent factors were identified by qualitative and quantitative risk assessment. Statistical terms like p-value, lack of fit, sum of square, R-squared value, model F value and linear equations were determined. Graphical tools like normal plot of residual, residual vs predicted plot and box cox plot were used to verify model selection.