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Showing 3 results for Ghaedi

Morteza Sadeghi, Zohreh Hojati, Kamran Ghaedi,
Volume 17, Issue 8 (11-2014)
Abstract

Background: Vascular endothelial growth factor (vegf) is one of the most important regulator of angiogenesis, there are some reports about the relation of VEGF over expression and progression of tumor in several cancers. The aim of this study is assay of four VEGF isoforms expression in breast cancer tumor samples.

Materials and Methods: 25 breast cancer tumor samples and 25 health samples were used in this study, mRNA was extracted from each sample and then cDNA was made. The expression of four isoforms VEGF121, VEGF165, VEGF183 and VEGF189 was measured by real time reverse transcription PCR (RT-PCR) and gel electrophoresis.

Results: Among the four isoforms, VEGF165 and VEGF 121 had maximum and VEGF 183 and VEGF 189 had minimum expression level in all samples. The total expression level of VEGF had a significant increase in tumor samples in comparison with the control samples (4/6, p<0.01).

Conclusion: There is a significant relation between the VEGF over expression and breast cancer tumor formation, which it can be used as a prognosis marker of breast cancer in future.


Mahsa Rostamian Delavar, Masoud Baghi, Elahe Yadegari, Kamran Ghaedi ,
Volume 20, Issue 8 (11-2017)
Abstract

Abstract
Background: Oxidative Stress and mitochondrial dysfunction leading to apoptotic death of neurons play key role in the pathogenesis of the Parkinson's disease. On the other hand، misregulation of microRNAs can cause several neurodegenerative diseases. Sirt1 and Bcl2 as two key genes, regulate pathogenic processes in neurodegenerative diseases such as mitochondrial dyfunction, oxidative stress and apoptosis.
 Materials and Methods: To investigate the role of microRNAs in model of Parkinson's disease, miRWalk 2.0 and TargetScan (v7) databases were served to predict microRNA-target interactions.
Results: Possible targeting effects of different microRNAs on Bcl2 and Sirt1 genes in Rat organism were analyzed. Merging data from databases has shown that rno-miR-449a, rno-miR-182, rno-miR-211, rno-miR-34b, rno-miR-34c, rno-miR-448, rno-miR-466b and rno-miR-96 with strong possibility can inhibit expression of Bcl2 gene. Also, rno-miR-181, rno-miR-211, rno-miR-27a, rno-miR-449a, rno-miR-34c, rno-miR-30, rno-miR-200a and rno-miR-448can inhibit Sirt1 gene with high possibility.
Conclusion: According to the findings, it can be predicted that regarding to high interaction scores of rno-miR-211, rno-miR-34c and rno-miR-448 and 449awith Bcl2 and Sirt1 genes in above-mentioned databases, these microRNAs probably can have critical role in disease process. Thus, these microRNAs can be introduced as appropriate candidates for investigations in in vitro model of Parkinson's disease.

 

Reza Hashemi, Maryam Peymani, Kamran Ghaedi, Hana Saffar,
Volume 25, Issue 1 (April & May- 2022)
Abstract

Background and Aim PBK is a mitogen-activated protein kinase (MAPKK) among MEK1/2 and MEK7 and can phosphorylate P38, JNK, and ERK in many cellular functions. The E2F transcription factor family also belongs to a class of cellular regulators acting as oncogenes and tumor suppressors. This study aims to investigate the expression of PBK and E2F7 in the early stages of colorectal cancer (CRC) compared to advanced stages based on the experimental and TCGA (The Cancer Genome Atlas) database.
Methods & Materials A total of 32 tissue samples of patients with CRC with the approval of a pathobiologist were collected according to the examination and criteria reported from different stages. After RNA extraction and cDNA synthesis, the RT-qPCR technique was used to evaluate the expression of the desired genes in the study groups. A receiver operating characteristic (ROC) curve analysis was also used to determine the ability of each of the selected genes to differentiate the two populations: stage I+II and stage III+IV.
Ethical Considerations In all stages of this research, codes of ethics of research and publication were observed.
Results In this study, it was shown that the expression of PBK and E2F7 significantly increased in stage I+II samples compared to stage III+IV. These data were confirmed by laboratory results and information extracted from the TCGA database. Also, based on the area under curve obtained from the ROC curves, these two genes are significantly distinguishable between stage I+II and III+IV populations in CRC.
Conclusion According to the results of this study, PBK and E2F7 genes are good markers in the diagnosis of CRC.


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