Aim: The exact epigenetic mechanisms that determine the balance of T helper (Th)1 and Th2 cells and autoimmune responses in multiple sclerosis (MS) remain unclear. We aim to clarify these. Methods: A combination of bioinformatics analysis and molecular evaluations was utilized to identify master hub genes. Results: A competitive endogenous RNA network containing six long noncoding RNAs (lncRNAs), 21 miRNAs and 86 mRNAs was provided through enrichment analysis and a protein–protein interaction network. NEAT1 and MALAT1 were found as differentially expressed lncRNAs using Gene Expression Omnibus (GSE21942). Quantitative real-time PCR results demonstrate dysregulation in the RUNX3 (a regulator of Th1/Th2 balance), GATA3 and TBX21, as well as miR-544a and miR-210-3p (which directly target RUNX3). ELISA also confirmed an imbalance in IFN-γ (Th1)/IL-4 (Th2) in MS patients. Conclusion: Our findings introduce novel biomarkers leading to Th1/Th2 imbalance in MS.

Differentiation of CD4+ T cells into Th17 cells is an important factor in the onset and progression of multiple sclerosis (MS) and Th17/Treg imbalance. Little is known about the role of lncRNAs in the differentiation of CD4+ cells from Th17 cells. This study aimed to analyse the lncRNA‐miRNAs network involved in MS disease and its role in the differentiation of Th17 cells. The lncRNAs in Th17 differentiation were obtained from GSE66261 using the GEO datasets. Differential expression of lncRNAs in Th17 primary cells compared to Th17 effector cells was investigated by RNA‐seq analysis. Next, the most highlighted lncRNAs in autoimmune diseases were downloaded from the lncRNAs disease database, and the most critical miRNA was extracted by literature search. Then, the lncRNA‐miRNA interaction was achieved by the Starbase database, and the ceRNA network was designed by Cytoscape. Finally, using the CytoHubba application, two hub lncRNAs with the most interactions with miRNAs were identified by the MCODE plug‐in. The expression level of genes was measured by qPCR, and the plasma level of cytokines was analysed by ELISA kits. The results showed an increase in the expression of NEAT1, KCNQ1OT1 and RORC and a decrease in the expression of FOXP3. In plasma, an upregulation of IL17 and a downregulation of TGFB inflammatory cytokines were detected. The dysregulated expression of these genes could be attributed to relapsing‐remitting MS (RR‐MS) patients and help us understand MS pathogenesis better.

BackgroundAlzheimer’s disease (AD) is a degenerative condition characterized by progressive cognitive impairment and dementia. Findings have revolutionized current knowledge of miRNA in the neurological conditions. Two regulatory mechanisms determine the level of mature miRNA expression; one is miRNA precursor processing, and the other is gene expression regulation by transcription factors. This study is allocated to the in-silico investigation of miRNA’s SNPs and their effect on other cell mechanisms.MethodsWe used databases which annotate the functional effect of SNPs on mRNA-miRNA and miRNA-RBP interaction. Also, we investigated SNPs which are located on the promoter or UTR region.ResultsmiRNA SNP3.0 database indicated several SNPs in miR-339 and miR-34a in the upstream and downstream of pre-miRNA and mature miRNAs. While, for some miRNAs miR-124, and miR-125, no polymorphism was observed, and also miR-101 with ΔG -3.1 and mir-328 with ΔG 5.8 had the highest and lowest potencies to produce mature microRNA. SNP2TFBS web-server presented several SNPs which altered the Transcription Factor Binding Sites (TFBS) or generated novel TFBS in the promoter regions of related miRNA. At last, RBP-Var database provided a list of SNPs which alter miRNA-RBP interaction pattern and can also influence other miRNAs’ expression.DiscussionThe results indicated that SNPs microRNA affects both miRNA function and miRNA expression. Our study expands molecular insight into how SNPs in different parts of miRNA, including the regulatory (promoter), the precursor (pre-miRNA), functional regions (seed region of mature miRNA), and RBP-binding motifs, which theoretically may be correlated to the Alzheimer’s disease.

Aim: This is a Quasi-experimental study wich was carried out in order to determine the effects of applying progressive muscle relaxation on fatigue and daily living activity of MS patients. Background: Fatigue is one of the most common symptoms in people with multiple sclerosis (MS) and adversely affects their daily living activities. Methods: 80 MS Patients were selected then conducted in two group (40 experiments and 40 contorol). Data collector tools included: demographic questionnaire, fatigue severity scale and activity of daily living questionnaire which completed four times by two group (before̦ Third week, sixth and ninth after study), self-report checklists which completed only by experimental group. PMRT performed once a day for 8 week by experimental group. During study no intervention was done for control group. Results: repeated measures ANOVA showed that there is significant difference in mean score of fatigue between two group in 4 times (P<0/05). Also, the results showed that with progressive muscle relaxation at 4 times, daily activities in ADL and IADL sections were significantly increased (P<0/05) but there was no significant difference between the two groups (P>0/05). however, clinically significant differences were observed. Conclusions: Acording to these findingș applying PMRT decreased patient´s fatigue and improve independence in daily living activities. This study supports the effect of PMRT on fatigue and activities of daily living in patients with MS, and it is recommended that further studies be conducted on this subject in the future. Keywords: daily living activity, fatigue, progressive muscle relaxation technique, multiple sclerosis.

Background. Multiple sclerosis is a chronic disease of the central nervous system and most often occurs in people between the ages of 20 to 50 years. Orem's self-care model is one of the models that have had a special approach to human and health care issues. The aim of this study was to review the effect of self-care training based on the Orem model on the burden on caregivers of patients.. Methods. The present quasi-experimental study was performed on 76 main members of the family caring for patients with multiple sclerosis in Bandar Abbas with a pre-test, post-test design and a control group. The study units were randomly selected and divided into two groups of control and intervention. The intervention group was trained according to the Orem training program in patients with amnesia during 6-8 sessions of 40 minutes. In order to assess the burden on caregivers, a 22-item "Zarit" questionnaire was used and a questionnaire was completed before and after the intervention in both groups. The results were analyzed with SPSS software version 26. Results. The difference between the mean of burden before the intervention (44.6 13 13) and after the intervention (33.7 10 10) in the intervention group was significant (P<0.05), which indicated the positive effect of training on decrease in the burden. The increase in the age of the intervention group was associated with an increase in the burden on the caregivers (P<0.05). There was a significant relationship between the burden on caregivers and the amount of income in the intervention group (P<0.05). Conclusion. Educating the caregiver of these patients can play an important role in reducing the burden on the caregiver during the long period of care. Applying Orem self-care model enables people to play a more active role in their care and treatment, thereby improving self-care, reducing fear and dependence, increasing motivation and self-confidence, and a sense of independence. Practical Implications. Application of research findings in nursing practice, nursing service management and nursing training.