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Showing 5 results for Alizadeh

Fatemeh Bagheri, Hakimeh Alizadeh Majd, Zahra Mehrbakhsh, Majid Ziaratban,
Volume 2, Issue 2 (10-2014)
Abstract

Background & Objective: Prediction of health status in newborns and also identification of its affecting factors is of the utmost importance. There are different ways of prediction. In this study, effective models and patterns have been studied using decision tree algorithm. Method: This study was conducted on 1,668 childbirths in three hospitals of Shohada, Omidi and Mehr in city of Behshahr. Variables such as baby's gender, birth weight, birth order, maternal age, maternal history of illness, gestational diseases, type of delivery, reason of caesarean section, maternal age, family relationship of father and mother, mother's blood type, mother's occupation and blood pressure and place of residence were chosen as predictive factors of decision tree categorization method. The health status of the baby was used as a dependent dual-mode variable. All variables were used in clustering and correlation rules. Prediction was done and then compared using 4 decision-tree algorithms. Results: In the clustering method, the optimal number of clusters was determined as 8, using the Dunn index measurement. Among all the implemented algorithms of CART, QUEST, CHAID and C5.0, C5.0 algorithm with detection rate of 94.44% was identified as the best algorithm. By implementing the Apriori algorithm, strong correlation rules were extracted with regard to the threshold for Support and Confidence. Among the characteristics, maternal age, birth weight and reason of caesarean section with the highest impacts were found as the most important factors in the prediction. Conclusion: Due to the simple interpretation of the decision tree and understandability of the extracted rules derived from it, this model can be used for (most individuals) professionals and pregnant women at different levels.
Manijeh Jalilvand, Reza Najafipoor, Mohammad Shekari, Mana Oloomi, Safar Ali Alizadeh, Abdolazim Nejatizadeh,
Volume 3, Issue 1 (5-2015)
Abstract

Background & Objectives: Breast cancer is the most common cancer among women and the second most common cause of cancer death. Genetic factors play an important role in the development of breast cancer. Among these genetic factors, CHEk2 (checkpoint kinase 2) gene, as a tumor suppressor gene, plays a critical role in DNA repair. Germline mutations in CEHK2 result in the loss of this feature. One of the mutations in CHEK2 gene is a 5395 bp deletion mutation which has been associated with the increasing risk of Breast Cancer in some populations in the world.  In the present study, we investigated the association between a 5395 bp deletion mutation in CHEK2 gene and the risk of Breast Cancer in the women of an Iranian population.

Methods: Pathologic information of 38 cases under the age of 45 and 62 cases over the age of 45 referring to surgery ward of Milad Hospital in Tehran were extracted. 100 healthy controls were included in the study as well. After obtaining informed consent, 5 mL whole blood was taken DNA was successfully isolated. Multiplex PCR was used to investigate the association between a 5395bp deletion mutation in CHEK2 gene and increasing risk of Breast Cancer among patients.

Results: The 5395bp deletion mutation in CHEK2 gene was not found in any of the participating groups of patients or heathy controls.

Conclusion: The present study revealed that there is no significant relation between increasing the risk of Breast Cancer and bearing large deletion mutation in exon 9 and exon 10 of CHECK2 gene.


Alireza Mohebbi, Sanaz Baghban Rahimi, Alijan Tabarraei, Mohsen Saeedi, Mirsaeed Ebrahimzadeh, Leila Alizadeh, Amir Ghaemi,
Volume 4, Issue 2 (10-2016)
Abstract

Background and Objectives: Human papilloma virus (HPV) is known as the etiologic agent of cervical cancer and second common cancer among women. HPV viruses with the elevated risk of infection have more potentiality to cause cancer. The carcinogenesis in these viruses is accomplished by oncoproteins such as E7. Employing DNA vaccines which code specific antigens such as E7 is a novel therapeutic approach against such cancers.

Methods: In the present study, plasmid coding HPV16 E7 was administered intracutaneously to C57BL/6 tumoric mice models for investigation of its immunostimulating potential. PcDNA3.1+ vector was used as control vector. After immunization, spleen of animals were removed. Then, release of lactate dehydrogenase (LDH) was evaluated to address the cytotoxic activity (CTL) induced by cellular immunity in spleenocytes. Interferon-γ (IFN-γ) and interleukin-4 (IL-4) cytokines were also analyzed as profiles of Th1 and Th2, respectively. Anti-inflammatory cytokine interleukin-10 (IL-10) levels were also investigated in tumor microenvironments.

Results: Our results showed that CTL activity was higher among samples receiving HPV16 E7 coding vector in comparison to the group receiving pcDNA3.1+ control vector (P < 0.05). Levels of IFN-γ and IL-4 were also higher in the group receiving HPV16 E7 plasmid in comparison to the control group (P < 0.05). Similarly, IL-10 levels were significantly lower in tumor carrying mice groups receiving HPV16 DNA vaccine compare to PBS and pcDNA3.1 receiving control groups.

Conclusion: HPV16 E7 expressing DNA vaccine could increase the release of LDH due to immune system CTL activity. Elevation in IFN-γ and IL-4 levels as well as IL-10 reduction indicates an increase in both Th1 and Th2 profiles resulted by using potent DNA vaccine coding HPV16 E7 in tumor animal model.


Seyed Farid Nourbakhsh, Reza Fadayevatan, Mahtab Alizadeh-Khoei, Farshad Sharifi,
Volume 5, Issue 2 (10-2017)
Abstract

Background & Objective: Dementia is associated with serious effects on memory, cognition and ability to carry out daily activities. There is evidence that impairment in activity of daily living (ADL) is even reported among elder patients who suffer from mild cognitive disorders. Therefore, we aimed to determine the status of ADL and instrumental activity of daily living (IADL) in healthy and cognitive impaired elderlies (MCI, Mild, and Moderate dementia).
Methods: In this cross-sectional study which was conducted in 2016, 300 elderlies (60 years and above) were selected using a classified cluster sampling in four groups (each group of 75 individuals). These groups comprised of healthy old people and elderlies with mild cognitive impairment (MCI) and mild to moderate dementia that were residing in rural areas of Isfahan and Tehran and were classified between stages of 1 to 5 according to the Global Deterioration Scale (GDS). All individuals in four groups were assessed by ADL and IADL evaluation tools. The geriatric depression scale (GDS-15) and DSM-IV scale were performed on healthy elderlies by a physician to confirm the lack of mild dementia or depression. Data were analyzed by SPSS 20 software and using descriptive statistics, analysis of variance and independent samples T-test.
Results: According to the cognitive impairment screening results by GDS, 76 elderlies were healthy, 75 were in MCI group, 72 individuals were diagnosed with mild dementia and 77 were suffering from moderate dementia. The mean scores of ADL tool on the basis of different cognitive stages of elderlies were statistically significant (p<0.001). The ADL scores among elderlies were lowered by increasing the severity of cognitive impairment. Moreover, the average scores of IADL among elderlies with different cognitive status were significantly different (p<0.001). The IADL scores in cases with moderate dementia were markedly declined in comparison to healthy subjects and elderlies with MCI and mild dementia.
Conclusion: Although applying the ADL and IADL tools are not considered as gold standards in rapid assessment of cognitive impairments among elderlies, they could be considered as useful and user friendly tools to detect performance alterations in elderlies with dementia to provide healthcare by geriatric teams.

Habib Onsori, Davood Poladi, Mehdi Valizadeh, Afshin Fathi, Mahshid Damandan, Rouhallah Moradpour,
Volume 8, Issue 3 (10-2020)
Abstract

Background and objective: Glucose 6-phosphate dehydrogenase (G6PD) deficiency is one of the most common human diseases with approximately 400 million people affected worldwide. G6PD Chatham is caused by 1003 G>A mutation leads to a severe enzymatic deficiency. The aim of the present study is to investigate the frequency rate of the Chatham mutations in the population of the North-West of Iran.
Material And Method: In this study, by Rapid Genomic DNA Extraction (RGDE) method, from 90 peripheral blood samples of unrelated male and female patients with genetic deficiency of G6PD, DNA was extracted and after digestion by Bstx1 enzymes, in order to search for Chatham mutation, they were analyzed by means of PCR-RFLP and sequencing methods.
Result: According to the results, Chatham mutation was observed in 10 samples (11.11%).
Conclusion: This study showed that G6PD Chatham (1003 G>A) mutation is the second common mutation, after Mediterranean (563C>T), in the population of the North-West of Iran. Further studies are recommended to identify the mutation type of other varieties.
 


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