ABSTRACT
The aim of this current study is to investigate the association between familial and environmental factors and prevalence of congenital hypothyroidism (CH) in Isfahan province. In this retrospective cohort study, data of the neonates referred for CH screening in different cities of Isfahan province were evaluated. Data regarding air and soil (lead, cadmium) pollutants were collected. The spatial association between mentioned environmental pollutants and prevalence of CH in different cities of Isfahan province was evaluated by using GIS software, and multilevel linear regression was used for evaluating the levels of environmental pollutants and neonates' serum TSH. During the study period, 389,945 neonates were screened, from which 934 diagnosed with CH (1 in 417 neonates).The prevalence rate of CH was ranged from < 20 in 10,000 live births to > 45 in 10,000 live births in different cities of Isfahan province. There was no any significant association between level of soil lead and cadmium and air pollutants with prevalence of CH in different cities of Isfahan province (P > 0.05).There was a significant positive association between soil cadmium and air pollution evaluated by air quality index (AQI) and level of screening serum TSH in CH patients. Considering the significant association between cadmium and AQI with first serum TSH, it is inferred that the interaction of genetic, autoimmune, familial, and environmental factors with each other could influence on neonatal thyroid function. It seems that the role of some mentioned component is more prominent which should be investigated in future researches.
Subject(s)
Air Pollution , Congenital Hypothyroidism , Congenital Hypothyroidism/epidemiology , Humans , Infant, Newborn , Iran/epidemiology , Prevalence , Retrospective Studies , ThyrotropinABSTRACT
In this work, high-performance thin-layer chromatography (HPTLC) coupled with multivariate image analysis (MIA) is proposed as a fast and reliable tool for authentication and adulteration detection of Iranian saffron samples based on their HPTLC fingerprints. At first, the secondary metabolites of saffron were extracted using ultrasonic-assisted solvent extraction (UASE) which was optimized using central composite design (CCD). Next, the RGB coordinates of HPTLC images were used for estimation of saffron origin based on principal component analysis (PCA). The PCA scores plot showed that saffron samples were clustered into two clear-cut groups which was 92% matched with the geographical origins of the samples. In the next step, common plant-derived adulterants of saffron including safflower, saffron style, calendula, and rubia were investigated with MIA analysis of HPTLC images using partial least squares-discriminant analysis (PLS-DA) at 5-35% (w/w) levels. The PLS-DA results showed proper classification of saffron and adulterants with sensitivity 99.14%, specificity 96.94%, error rate 1.96% and accuracy 98.04. Also, the effect of HPTLC injection volume on the performance of the proposed strategy was evaluated. The ability of the proposed method was then investigated by analyzing two additional sample sets including mixed samples of four plant-derived adulterants and adulterated commercial samples. Sensitivity and specificity of this model were 100% which confirmed its validity.
Subject(s)
Chromatography, Thin Layer/methods , Crocus/chemistry , Drug Contamination , Image Processing, Computer-Assisted , Discriminant Analysis , Iran , Least-Squares Analysis , Multivariate Analysis , Principal Component AnalysisABSTRACT
INTRODUCTION: The present study sets out to investigate the correlation between kidney cancer and the concentration of lead in Isfahan Province, Iran. All cases of kidney cancer recorded between 2007 and 2009 were utilized. In order to calculate the lead concentrations associated with the poll frequency of kidney cancer, the concentrations of lead in province (case study) were examined. MATERIALS AND METHODS: In this study, the first challenge was to collect some relevant information. In this connection, the authors managed to gain access to data concerning kidney cancer in Isfahan province. The data, which had been collected by Isfahan Province Health Centre, provided information from 2007-2009. Besides, Map of Lead Distribution in soil, which had been drawn by the Mineral Exploration Organization. Using GIS (Geographic Information System Software such Arc Gis), the researchers drew the map of the spatial distribution of kidney cancer in the province. In this research, we applied target detection algorithms on MODIS images to detect leads contamination in soil. RESULTS: The results indicated a significantly positive correlation approximately 88% between kidney cancer and the distribution of lead in soil. CONCLUSIONS: The findings of the current study emphasized not only the importance of preventing exposure to lead but also the importance of controlling lead-producing industries.
Subject(s)
Environmental Exposure/adverse effects , Kidney Neoplasms/epidemiology , Kidney Neoplasms/etiology , Lead/adverse effects , Soil/chemistry , Environment , Environmental Monitoring , History, 21st Century , Humans , Iran/epidemiology , Kidney Neoplasms/history , Remote Sensing Technology , Spatial AnalysisABSTRACT
BACKGROUND: Malignancies are primarily environmental diseases mostly attributed to environmental factors. By plotting the prevalence and spatial distribution maps, important differences can be observed in detail. This study aimed to determine the association between map distribution of malignancies and the geological phenomena of lead (Pb) accumulation in soil in the province of Isfahan, Iran. METHODS: Spatial distribution maps of malignant diseases were plotted by using data recorded during 2007 to 2009 in the Isfahan Cancer Registry Program. Data on Pb accumulation in soil was obtained from the National Geological Survey and Mineral Exploration. Pb concentrations were documented in three parts of agricultural, non-agricultural, urban, and industrial land. The geographical mapping of cancers and soil Pb were then incorporated into a geographic information system (GIS) to create a spatial distribution model. RESULTS: The spatial distributions of ten common malignant diseases in the province, i.e. skin cancers, hematological malignancies, and breast cancers, followed by other malignancies were scattered based on Pb distribution. In fact, common cancers were more prevalent in the parts of the province where soil Pb was more abundant. CONCLUSION: The findings of this study underscore the importance of preventing Pb exposure and controlling industrial production of Pb. The data is also important to establish further effects modeling for cancers. Moreover, physicians and health professionals should consider the impact of environmental factors on their patients' health.
ABSTRACT
Primary breast lymphoma (PBL) of the breast is a rare type of localized non-Hodgkin lymphoma, which is usually of the B-cell. The majority of breast lymphoma present as a unilateral painless breast masses in an older woman, average age at diagnosis 55-60. A less common but distinctive presentation is a young woman of childbearing age who presents during or immediately after pregnancy. We present a 23-year-old postpartum woman with bilateral breast swelling. After surgical drainage and debridement and pathologic examination, the diagnosis of breast Burkitt lymphoma (BL) was confirmed. Chemotherapy was immediately started for her and the patient showed a good response with complete remission.