Nasim Dana , Shiva Safavi , Nafiseh Nili , Badrodin Ebrahim Seyed Tabatabaei, Shaghayegh Haghjooy Javanmard ,
Volume 72, Issue 6 (September 2014)
Abstract
Background: The occlusion of the artery and vein grafts are currently a major problem in coronary bypass surgery. Degradation of collagen and elastin, the most abundant extracellular matrix proteins in the vessel wall by matrix metalloproteinase (MMPs), leads to a rearrangement of the extracellular matrix and vascular wall structure. The present study aimed to compare the histological and biochemical characteristics of arteries and veins which could have a role in the failure of the graft.
Methods: This study was a cross-sectional study of 80 patients conducted at Heart Hospitals in Isfahan, Iran, between July 2012 and November 2013. Samples were collected from the remains of vessels used in bypass surgery of 11 male nondiabetic patients. The histologic, collagen elastin ratio and MMPs levels of the vessels were investigated. MMPs were determined using the Gelatin Zymography method. For elastin and collagen content measurement, the sample was digested by cyanogen bromide and hydrochloric acid and then hydroxyproline was measured with a spectrophotometer.
Results: The amount of active and inactive MMP-2 and MMP-9 of the left internal mammary artery (Lima) was similar to aorta, but the amount of MMP-2 and MMP-9 in the radial artery and saphenous vein were significantly higher than aorta. Elastin to collagen ratio in Lima (1.92±1.15) was similar to the aorta (3.4±1.66), but this proportion in saphenous vein (1.07±0.47) and radial artery (1.14±0.39) was significantly lower in the aorta (P≤0.05). Most patients had atherosclerotic plaque in radial while there was atherosclerotic plaque in Lima of only one case.
Conclusion: The presence of atherosclerotic plaques in radial and thickening of the intimal layer of the saphenous vein in the majority of patients and decrease of collagen to elastin ratio and the high level of matrix metalloproteinase enzymes in the radial and saphenous vein can induce early pathological conditions, and remodeling of the vessels involved. So the results of this study confirm that Left Internal Mammary Artery (LIMA) is the most suitable candidate for bypass surgery.
Shaghayegh Haghjooy Javanmard, Seyed Ali Sonbolestan , Kiyan Heshmat ,
Volume 77, Issue 3 (June 2019)
Abstract
Background: One of the possible mechanisms of migraine pathophysiology is neuro inflammation in which, according to previous studies, some changes happen in inflammatory factors like interleukins, adhesion molecules or acute phase reactants. Cytokines may have an essential role in the neurovascular inflammation and also in the process of pain especially in migraine patients. On the other hand, one of the mechanisms by which angiotensin converting enzyme inhibitors (ACEIs) work is anti-inflammation. The goal of this study was to evaluate the effect of enalapril as an ACEI drug, on the proinflammatory cytokines (calcitonin gene-related peptide (CGRP), tumor necrosis factor alpha (TNFα)) of migraine patients.
Methods: In this randomized double blind placebo-controlled clinical trial, 40 migraine without aura patients (mean age of 34.42±1.82 years) who were referred to neurology clinics of Isfahan University of Medical Sciences, Iran, between June 2011 and July 2012 were recruited. The patients were randomly divided into two groups. 21 patients were treated with 10 mg enalapril daily for two months as the intervention group and they were compared with matched placebo treated group of 19 patients. Serum samples were collected from all of the subjects and TNFα and CGRP levels were measured by means of ELISA (enzyme-linked immunosorbent assay) kits at the beginning of study (before the intervention) and after 2 months of enalapril or placebo treatment. The serum levels were compared in each group and between the groups. SPSS software, version 16 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis.
Results: Six males (15%) and 34 females (85%) were enrolled in this study. The mean of migraine history among the subjects was 74.40±7.54 months. Patients' TNFα level decreased significantly in the case group after treatment with enalapril (P=0.001) while there was no significant change in control group (P=0.769). There was no significant difference in the CGRP concentrations in the intervention and control groups (P=0.795, 0.708 respectively).
Conclusion: Enalapril may be effective in improvement of inflammatory responses of migraine patients by decreasing the inflammatory factors like TNFα.
Hossein Bagherian, Shaghayegh Haghjooy Javanmard, Mehran Sharifi, Mohammad Sattari,
Volume 79, Issue 3 (june 2021)
Abstract
This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the survival of breast cancer patients. This review is based on the Prism statement consisting of published studies in the field of predicting the survival of breast cancer patients using data mining techniques from 2005 to 2018 in databases such as Medline, Science Direct, Web of Science, Embase data and Scopus. After searching in these databases, 527 articles were retrieved. After removing duplicates and evaluating the articles, 21 articles were used. The three techniques of logistic regression, decision tree, and support vector machine have been most used in articles. Age, tumor grade, tumor stage, and tumor size are used more than other risk factors. Among the criteria, the accuracy criterion was used in more studies. Most of the studies used the Surveillance, Epidemiology, and End Results Program (SEER) dataset. Typically, in the field of survival probability prediction, data mining techniques in the field of classification are given more attention due to their adaptation to this field. Accordingly, data mining techniques such as decision tree techniques, logistic regression, and support vector machine were used in more studies than other techniques. The use of these techniques can provide a good basis for clinicians to evaluate the effectiveness of different treatments and the impact of each of these methods on patients' longevity and survival. If the output of these techniques is used to provide the data input required by a decision support system, clinicians can provide risk factors related to the patient, the patient's age, and the patient's physical condition when providing services to breast cancer patients. Through the outputs provided by the decision support system, they provided the most optimal decision to choose the best treatment method and consequently increase patient survival.
