Search published articles


Showing 6 results for Microrna

Zahra Azhir, Zohreh Hojati,
Volume 4, Issue 4 (11-2016)
Abstract

Background: Type 1 diabetes (T1D) is caused by cell-mediated autoimmune attack on pancreatic beta-cells. Previous studies highlight the role of microRNAs (miRNAs) in the pathogenesis of T1D. MiRNAs are small non-coding RNAs involved in the regulation of gene expression post-transcriptionally. In this work, miR-18b was chosen and the differential expression of it was measured between T1D patients and healthy controls from Isfahan population.

Materials and Methods: MiR-18b was selected using Bioinformatics studies by miRWalk software. 22 T1D patients and 18 healthy controls from Isfahan population were enrolled in this study. Total RNA of the peripheral blood mononuclear cells (PBMCs) samples were extracted. After cDNA synthesis, the expression profile of miR-18b quantified by means of qPCR method in patients and controls. Finally the results were statistically analyzed.

Results: In this study despite our hypothesis, the expression levels of miR-18b didn’t show any significant difference between T1D patients and healthy controls (p value: 0.145).

Conclusion: Due to the results of our experimental analysis, it seems that miR-18b doesn’t have any association with T1D disease in Isfahan population.


Hossein Javdani, Negin Parsamanesh,
Volume 6, Issue 1 (2-2018)
Abstract

MicroRNAs (mirNAs) have garnered tremendous interest in cancer biology research in the recent decade. mirNAs are a group of short non-coding RNAs,20–24 nucleotides in length, thatare found in animals and plants.Theycan reduce the expression of genes involved in numerous vital cell processes. Recent evidences indicate a key role played by mirNAs in the initiation and development of human carcinogenesis. These function including: the regulation of oncogenes, tumor suppressor genes, and several tumor-associated genes to that of processes such as cell proliferation, apoptosis, and angiogenesis. Clinical trials aimed at improving mirNA profiling for clinical diagnosis and prognosis of different disorders are now underway. In this review, we have summarized the physiological role of mirNAs and theirdiagnostic and therapeutic
potential inclinical assessment.


Maryam Gholizade, Jamal Fayazi, Somayeh Rahimnahal,
Volume 7, Issue 4 (11-2019)
Abstract

Background: Toll-like receptors (TLRs) detect diverse pathogen-associated molecular patterns and play a critical role in the innate immune response. Hosts should activate TLR-signaling pathways to eliminate invading pathogens. However, excessive activation of these pathways may interrupt immune homeostasis, leading to several diseases. Therefore precise regulation of TLR-signaling pathways is essential. Meanwhile, miRNAs (microRNAs) act similar to a class of small noncoding RNAs with gene regulatory functions. The regulation of TLR expression by miRNAs may be one of the valid points for targeting TLRs.
Materials and methods: In this study, we predicted most of the microRNAs bind to the TLRs pathway in the chicken, based on the bioinformatic methods. All genes involved in the TLR signaling pathway in chicken species were extracted from the KEGG database (Entry: gga04620) and analyzed based on different applications.
Results: We predicted 19 miRNAs for the 18 target genes of the TLR pathway that may provide essential clues for identifying novel drug targets for inflammatory diseases.
Conclusion: Substantial miRNA was found as gene regulators. As newly identified regulators, the performance mechanism of miRNAs in combination with other regulatory mechanisms will control the outcome of immune responses and these issues should be investigated in future studies


Arezo Askari Rad, Jamal Fayazi, Houshang Dehghanzadeh,
Volume 8, Issue 4 (9-2020)
Abstract

Background: Because milk and milk products play a vital role in human nutrition, dairy cattle farmers are working in increasing milk production or changing its composition. For this reason, researching the genes which play an important role in milk production and its composition is of high value. Information theory is an interdisciplinary branch of mathematics which overlaps with communications engineering, biology, and medicine. It has been used in genetic and bioinformatics analyses such as the biological structures and sequences.
Materials and methods: In this study, a total of 20 microRNAs from those affecting the breast tissue and mammary glands have been extracted from the microRNA database. For each microRNA sequence, the entropy values of the first- to third-order were calculated and the Kullback-Leibler divergence criteria were estimated. Then, the Kullback-Leibler divergence matrix of the microRNAs was considered as the inputs for clustering methods. All calculations were performed in the R program. The biological pathway of each target was predicted using the KEGG server.
Results: MicroRNAs are divided into two main groups based upon comparing and analyzing all the created clusters. The first group contains 18 microRNA and the second group contains 2 microRNAs at the first- and third-order entropies. The second-order entropy contains 19 microRNA in the first group and only 1 microRNA in the second group. The clustering topology changes as the entropy order changes from 1 to 3, with the most significant changes being seen in the clustering resulted from the third-order entropy.
Conclusion: In the proposed method of clustering, we obtained a biological grouping of genes. There is a good concordance between most of the microRNAs within one cluster and their biological pathway.  The algorithm is applicable for clustering a range of genes and even genomes based on their DNA sequences entropy. Our method can help assign and predict the biological activity of those genes that lack robust annotations because it relies only on the DNA sequence and length of the genes.
 
Maryam Asadi Farsani, Ebrahim Banitalebi, Mohammad Faramarzi, Nuredin Bakhtiari, Mostafa Rahimi,
Volume 9, Issue 3 (8-2021)
Abstract

Background: Type 2 Diabetes (T2D) in the elderly is an epidemic that significantly impacts global health. This experimental study aimed to compare the responses of microRNA-133a (miR-133a) in different tissues and of Runt-related transcription factor 2 (Runx2) in bone marrow tissue following resistance and endurance training in old rats with High-Fat Diet and Streptozotocin (HFD/STZ)- induced type 2 diabetes.

Materials and Methods: T2D was induced by HFD/low-dose STZ in 30 male Wistar rats (21-monthold, Mean±SD weight 418±43 g). The rats received HFD (55%, 31%, and 14% of energy from fat, carbohydrate, and protein, respectively; 5.2 kcal/g). The diets continued for eight weeks in both groups. Over week four, the rats in the group with HFD/STZ-induced T2D received treatment with low-dose STZ. After one week of familiarity with the laboratory environment, they were randomly divided into three groups: Diabetic Endurance Training (DET, n=10), Diabetic Resistance Training (DRT, n=10), and Diabetic Control (DC, n=10). The eight weeks of endurance training protocol comprised five sessions of moderate-intensity training (60%-75% velocity at maximal oxygen uptake (vVO2max) and low intensity (30%-30% vVO2max). In 60% Maximum Voluntary Carrying Capacity (MVCC), the resistance group climbed the ladder 14-20 times with 1-minute rest, five days a week.

Results: The results of the 1-way ANOVA test showed no significant change in serum miR-133 expression (P=0.411) and muscle tissue (P=0.077) following resistance and endurance training. However, significant differences were observed in bone marrow miR-133 expression (P=0.003) and Runx2 gene expression (P=0.002) between groups. Tukey’s post hoc tests showed that the bone marrow miR-133 expression had a significant increase following eight weeks of resistance training compared to the endurance training (P=0.006) and control (P=0.002) groups, and bone marrow Runx2 gene expression in rats exposed to resistance training compared to the endurance training (P=0.044) and the control (P=0.018) groups.

Conclusion: It seems that longer periods of exercise are required for cellular changes in the metabolism of these tissues after these exercise protocols. This topic should be studied in future research.


Ms Gholamreza Khanbabaie, Dr Hossein Soltanzadeh, Dr Hasan Montazem,
Volume 10, Issue 4 (11-2022)
Abstract

Background: Chronic drug abuse changes microRNA (miRNA) expression in the brain, which may contribute to addictive behaviors. Many miRNAs play critical roles in developing drug addiction. Methamphetamine induces various alterations in different systems by affecting gene expression, but the effects of methamphetamine on miRNA profiles need to be elucidated. This study evaluated the expression of miRNA-183 and miRNA-143 in the blood of methamphetamine abusers and controls.
Methods: In this case-control study, the case group comprised 60 people with a methamphetamine addiction from Tabriz City, East Azerbaijan, Iran, and the control group comprised 60 healthy controls of comparable ages and ethnicities. Total RNA was extracted from peripheral blood samples, and then cDNA was synthesized. MicroRNA-183 and microRNA-143 expression levels were determined using real-time PCR.
Results: The results indicated that methamphetamine abusers had significantly higher blood levels of miRNA-143 than healthy controls (P<0.05); however, miRNA-183 expression was comparable between the two groups (P>0.05).
Conclusion: MicroRNA-143 may play a role in the pathology of methamphetamine abuse, so it may be used as an additional method to identify people with an addiction precisely.

Page 1 from 1     

 

Designed & Developed by : Yektaweb