scholarly journals Screening of Parkinson’s Differential MicroRNA Based on GEO Database and Its Clinical Verification

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xuping Jiang ◽  
Lili Xiao ◽  
Xumei Jiang ◽  
Guangsheng Li ◽  
Zhijuan Lu
Keyword(s):  
Target Genes ◽  
Normal Subjects ◽  
Diagnostic Value ◽  
Gene Expression Omnibus ◽  
Control Group ◽  
Signal Pathways ◽  
Clinical Verification ◽  
Practice Methods ◽  
Diagnostic Indicator ◽  
Geo Database

Objective. This study is set out to explore the potential difference of miR in PD through GEO data and provide diagnostic indicators for clinical practice. Methods. In this study, differential miR was screened through the Gene Expression Omnibus (GEO) database, 68 PD patients treated in our hospital from May 2017 to March 2018 were collected as the research group (RG), and 50 normal subjects who underwent physical examination in our hospital during the same period were collected as the control group (CG). Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression and diagnostic value of miR-374a-5p in serum of patients. The potential target genes of miR-374a-5p were predicted, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Ontology Consortium (GO) were carried out. Results. GEO2R analysis revealed that 193 miRs are expressed differentially, of which 78 were highly expressed and 115 were poorly expressed. The miR-374a-5p expression in the serum of the RG was reduced markedly and had a diagnostic value. Targetscan and miRDB online websites were used to predict their target genes, with 415 common target genes. miR-374a-5p may participate in 27 functional pathways and 8 signal pathways. Conclusion. miR-335-5p has low expression in PD and is expected to be a potential diagnostic indicator.

scholarly journals MiR-4463 inhibits the migration of human aortic smooth muscle cells by AMOT

2018 ◽  
Vol 38 (5) ◽  
Author(s):  
Xueqin Wang ◽  
Chao Du ◽  
Xuemei He ◽  
Xian Deng ◽  
Yanzheng He ◽  
...  
Keyword(s):  
Smooth Muscle ◽  
Smooth Muscle Cells ◽  
Target Genes ◽  
Intervention Group ◽  
Muscle Cells ◽  
Normal Group ◽  
Control Group ◽  
Signal Pathways ◽  
Aortic Smooth Muscle Cells ◽  
Aortic Smooth Muscle

Aberrant vascular smooth muscle cell (VSMC) migration has been implicated in a variety of vascular disorders, while the signal pathways governing this process remain unclear. Here, we investigated whether miRNAs, which are strong post-transcriptional regulators of gene expression, could alter VSMC migration. We detected the expression of miR-4463 in the plasma of patients with atherosclerosis and in human aortic smooth muscle cells under hypoxia–ischemia condition, and investigated the migration effect and its downstream pathways. The results have shown that whether in clinical AS patients or hypoxic cells, the expression of miR-4463 was lower than that of normal group, then the number of migrating cells in the miR-4463 mimic intervention group was significantly decreased compared with the normal group and miR-4463 inhibitor instead. Furthermore, the expression of angiomotin (AMOT) in gastrocnemius muscle and femoral artery of patients was significantly higher than that of the control group. The protein level of AMOT in miR-4463 mimic intervention group was significantly decreased, and its level was reversed by inhibiting miR-4463. In summary, these results indicate that miR-4463 is a novel modulator of VSMC migration by targetting AMOT expression. Regulating miR-4463 or its specific downstream target genes in VSMCs may represent an attractive approach for the treatment of vascular diseases.

scholarly journals The Diagnostic Value of Adenosine Deaminase in Children With Infectious Mononucleosis by EBV

2021 ◽  
Author(s):  
Ting Shi ◽  
Jungen Li ◽  
Yuzhu Miao ◽  
Linlin Huang ◽  
Jianmei Tian
Keyword(s):  
Adenosine Deaminase ◽  
Infectious Mononucleosis ◽  
Acute Infection ◽  
Laboratory Data ◽  
Multivariate Regression Analysis ◽  
Diagnostic Value ◽  
Control Group ◽  
Common Disease ◽  
Normal Alt ◽  
Diagnostic Indicator

Abstract Background Infectious mononucleosis (IM) which was a common disease in children was often accompanied by elevated transaminase and occasionally liver failure. This study aimed to explore the diagnostic value of adenosine deaminase in IM and its concurrent elevated alanine aminotransferase (ALT). Methods 104 children with IM and 50 controls with acute infection, of whom main symptoms were fever, tonsillitis or lymphadenitis, from Children’s Hospital of Soochow University were enrolled in this study. Among 104 children with IM, 54 had normal ALT (IM1 group) and 50 had elevated ALT (IM2 group). Then the clinical and laboratory data of the children were collected to explore the diagnostic value of ADA in the three groups. Results ADA in the IM group was significantly higher compared with it in the control group (P < 0.001). ADA had a high correlation with lymphocyte count, CD3 + CD8 + T cell (%), CD4+/CD8 + and CD3-CD19+(%) (|r| >0.7, p < 0.01). ADA had great diagnostic value in pediatric patients with IM. The sensitivity and specificity of ADA in predicting pediatric IM patients were 97.1% and 94.0%, respectively. Furthermore, multivariate regression analysis indicated that ADA was risk factor for elevated ALT in children with IM. Conclusions ADA may be a novel diagnostic indicator for pediatric IM and indirectly predict elevated ALT.

scholarly journals Exosomal hsa-miR-21-5p is a biomarker for breast cancer diagnosis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12147
Author(s):  
Min Liu ◽  
Fei Mo ◽  
Xiaohan Song ◽  
Yun He ◽  
Yan Yuan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Target Genes ◽  
Bioinformatics Analysis ◽  
Expression Profiles ◽  
Quantitative Polymerase Chain Reaction ◽  
Delayed Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnostic Value ◽  
Gene Expression Omnibus ◽  
Protein Protein Interaction

Purpose Breast cancer (BC) is characterized by concealed onset, delayed diagnosis, and high fatality rates making it particularly dangerous to patients’ health. The purpose of this study was to use comprehensive bioinformatics analysis and experimental verification to find a new biomarker for BC diagnosis. Methods We comprehensively analyzed microRNA (miRNA) and mRNA expression profiles from the Gene Expression Omnibus (GEO) and screened out differentially-expressed (DE) miRNAs and mRNAs. We used the miRNet website to predict potential DE-miRNA target genes. Using the Database for Annotation, Visualization and Integrated Discovery (DAVID), we performed Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on overlapping potential target genes and DE-mRNAs. The protein-protein interaction (PPI) network was then established. The miRNA-mRNA regulatory network was constructed using Cytoscape and the analysis results were visualized. We verified the expression of the most up-regulated DE-miRNA using reverse transcription and a quantitative polymerase chain reaction in BC tissue. The diagnostic value of the most up-regulated DE-miRNA was further explored across three levels: plasma-derived exosomes, cells, and cell exosomes. Results Our comprehensive bioinformatics analysis and experimental results showed that hsa-miR-21-5p was significantly up-regulated in BC tissue, cells, and exosomes. Our results also revealed that tumor-derived hsa-miR-21-5p could be packaged in exosomes and released into peripheral blood. Additionally, when evaluating the diagnostic value of plasma exosomal hsa-miR-21-5p, we found that it was significantly up-regulated in BC patients. Receiver operating characteristic (ROC) analysis also confirmed that hsa-miR-21-5p could effectively distinguish healthy people from BC patients. The sensitivity and specificity were 86.7% and 93.3%, respectively. Conclusion This study’s results showed that plasma exosomal hsa-miR-21-5p could be used as a biomarker for BC diagnosis.

scholarly journals Screening of Biomarkers for Hypertension Susceptibility in Pregnancy

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
Jian Xu ◽  
Liye Fan ◽  
Feng Qi ◽  
Xia Xiu
Keyword(s):  
Small Molecule ◽  
Target Genes ◽  
Gestational Hypertension ◽  
Expression Profiles ◽  
Differentially Expressed Gene ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Control Group ◽  
Signal Pathways ◽  
Small Molecule Drug

Objective: To study the differential lncRNA / mRNA expression profiles of placental tissues in patients with gestational hypertension, analyze their possible mechanisms of action, and explore their target genes and small molecule drug-related lncRNAs. Methods: Three patients with gestational hypertension who were treated in our hospital from May 2018 to May 2019 were selected as the research subjects and three healthy pregnant women who underwent a prenatal examination in the same hospital were selected as the control group. The placental tissues were taken from the patients. RNA-sequencing was performed to construct lncRNA/mRNA differential expression profiles; screening differentially expressed lncRNAs were used to predict target genes, and GO and KEGG enrichment analysis predicted the biological functions of target genes and the enriched signal pathways, respectively. Protein-protein interaction network, lncRNA-miRNA-mRNA network, and differentially expressed gene-small molecule drug association networks were constructed. Results: RNA-seq analysis revealed 19 differentially expressed lncRNA (4 up-regulated; 15 down-regulated) (P<0.05). Moreover, 423 differentially expressed genes (DEGs) (84 up-regulated; 339 down-regulated)(P<0.05). GO and KEGG enrichment analysis found that gestational hypertension is mainly related to endothelial cell damage, inflammatory response, abnormal immune regulation, and abnormal trophoblast invasion. The PPI network and lncRNA-miRNA-mRNA network were constructed. Differentially expressed gene-drug small molecule prediction results found 19 pairs of differentially gene-small drug relationship pairs, mainly including antibody, inhibitor et al. Conclusion: Differently expressed lncRNAs in the placenta of patients with gestational hypertension can participate in the regulation of multiple biological functional level-related signal pathways through targeted regulation of their target genes, and play an important role in the occurrence and development of gestational hypertension. The predicted small molecule drug can be used as a reference for clinical treatment.

scholarly journals ARHGEF3 Associated with Invasion, Metastasis, and Proliferation in Human Osteosarcoma

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jie Gong ◽  
Wei Tang ◽  
Bin Lv ◽  
Shushu Zhang ◽  
Tingjuan Fan ◽  
...  
Keyword(s):  
Target Genes ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Qrt Pcr ◽  
Human Osteosarcoma ◽  
Gene Profiles ◽  
Kaplan Meier ◽  
Differentially Expressed Mirnas ◽  
Kaplan Meier Plotter ◽  
Geo Database

Background. Osteosarcoma is a malignant bone tumor composed of mesenchymal cells producing osteoid and immature bone. This study is aimed at developing novel potential prognostic biomarkers and constructing a miRNA-mRNA network for progression in osteosarcoma. Method. GSE70367 and GSE70414 were obtained in the Gene Expression Omnibus (GEO) database. GEO software and the GEO2R calculation method were used to analyze two gene profiles. The coexpression of differentially expressed miRNAs (DEMs) and genes (DEGs) was identified and searched for in the FunRich database for pathway and ontology analysis. Cytoscape was utilized to construct the mRNA-miRNA network. Survival analysis of identified miRNAs and mRNAs was performed by utilizing the Kaplan-Meier Plotter. Besides, expression levels of DEMs and target mRNAs were verified by performing quantitative real-time PCR (qRT-PCR) and Western blot (WB). Results. Six differentially expressed microRNAs (DEMs) were identified, and 8 target genes were selected after screening. By using the KM Plotter software, miRNA-124 and ARHGEF3 were obviously associated with the overall survival of patients with osteosarcoma. Furthermore, ARHGEF3 was found downregulated in osteosarcoma cells by performing qRT-PCR and WB experiments. Results also showed that downregulated ARHGEF3 may associate with invasion, metastasis, and proliferation. Conclusions. By using microarray and bioinformatics analysis, DEMs were selected, and a complete miRNA-mRNA network was constructed. ARHGEF3 may act as a therapeutic and prognostic target of osteosarcoma.

scholarly journals miRNAs Associated with Nasopharyngeal Carcinoma: New Prognostic Biomarkers and Therapeutic Targets

2021 ◽  
Author(s):  
Xu Jiayuan ◽  
Li Xianhui ◽  
Zhu Chuansai ◽  
Fang Lucheng ◽  
Wang Wen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Nasopharyngeal Carcinoma ◽  
Target Genes ◽  
Prognostic Markers ◽  
High Sensitivity ◽  
Gene Expression Omnibus ◽  
Bioinformatics Study ◽  
Analytical Tools ◽  
Geo Database

Abstract Background: Most of the studies included in this analysis highlighted miRNAsrole in the prognosis of nasopharyngeal carcinoma (NPC) patients. Our aim in this bioinformatics study was to synthesize relevant data associated with NPC to identify new prognostic markers. Methods: miRNA and mRNA data related to NPC were downloaded from the Gene Expression Omnibus (GEO) database. A variety of online analytical tools (starBase, TargetScanHuman7.2, Metascape, Cytoscape_v3.6.0, and GEPIA) were used to analyze the downloaded data to identify biomarkers with extremely high sensitivity and further research value. Results: Changes in the expression levels of 13 miRNAs played crucial roles in the overall survival of NPC patients (miR-375 was down-regulated, miR-96-5p, miR-155-5p, miR-320a, miR-378a-3p, miR-15b-5p, miR-21-5p, miR-25-3p, miR-93-5p, miR-493-3p, miR-493-5p, miR-494-3p, and let-7i-5p were up-regulated). Additionally, eight central genes (CDK1, CCNB1, CCNA2, TOP2A, AURKA, MAD2L1, CDC6, and CHEK1) were identified as target genes for further NPC therapy. Conclusions: Our findings further elucidate the underlying relationship between miRNAs and prognosis in NPC. The identified miRNAs are closely related to NPC prognosis and have extremely high research value for future medical treatment.

The self and schizophrenia: a cognitive approach

2003 ◽  
Vol 62 (1) ◽  
pp. 45-51 ◽  
Author(s):  
Marek Nieznanski
Keyword(s):  
Normal Subjects ◽  
Control Group ◽  
Cognitive Approach ◽  
Schizophrenic Patients ◽  
Self Schema ◽  
Persons With Schizophrenia ◽  
Basic Features ◽  
Trait Words ◽  
Patients Experience ◽  
Normal Controls

The aim of the study was to explore the basic features of self-schema in persons with schizophrenia. Thirty two schizophrenic patients and 32 normal controls were asked to select personality trait words from a check-list that described themselves, themselves as they were five years ago, and what most people are like. Compared with the control group, participants from the experimental group chose significantly more adjectives that were common to descriptions of self and others, and significantly less that were common to self and past-self descriptions. These results suggest that schizophrenic patients experience their personality as changing over time much more than do healthy subjects. Moreover, their self-representation seems to be less differentiated from others-representation and less clearly defined than in normal subjects.

GASCHROMATOGRAPHIC DETERMINATION OF STEROIDS IN THE URINE OF PATIENTS WITH CUSHING'S SYNDROME

1971 ◽  
Vol 67 (2) ◽  
pp. 303-315 ◽  
Author(s):  
A. J. Moolenaar ◽  
A. P. van Seters
Keyword(s):  
Liquid Chromatography ◽  
Cushing’S Syndrome ◽  
Normal Subjects ◽  
Diagnostic Value ◽  
Cushing's Syndrome ◽  
Gas Liquid Chromatography ◽  
Obese Subjects

ABSTRACT The 17-oxosteroids were estimated in the urine of 27 patients with Cushing's syndrome by gas-liquid chromatography (G. L. C.). The values of the various steroid fractions are compared with those of normal subjects, patients with thyrotoxicosis and obese subjects. The effect of the age of the patients on the diagnostic value of the invidual 17-oxosteroids and their ratios is discussed.

Gene Frequency of CYP2D6*4 and *10 Variants in Karachi Population

2020 ◽  
Vol 17 ◽  
Author(s):  
Tamkeen Fatima ◽  
Farah Zeb ◽  
A. Dar Farooq
Keyword(s):  
Antipsychotic Drugs ◽  
Screening Program ◽  
Restriction Enzymes ◽  
Normal Subjects ◽  
Control Group ◽  
Poor Metabolizer ◽  
Cyp2d6 Polymorphism ◽  
Wild Allele ◽  
Schizophrenic Patients ◽  
Intermediate Metabolizer

Background: CYP2D6 is to be considered the most pronounced gene in pharmacegenetic field which is involved in metabolizing ~25% of all clinically used neuroleptic drugs and other antidepressants. We designed a study to evaluate differential expression of CYP2D6*4 and CYP2D6*10 variants which are very prevalent in Asian countries and exhibit variation in drug metabolizing ability that affect therapeutic responses. Objective: The purpose of this study is to determine the genotypic frequencies of CYP2D6 *1 (normal metabolizer), *4 (poor metabolizer) and *10 (intermediate metabolizer) variants among schizophrenic subjects and compared with control group from a sub-set of Karachi population. Method: Genomic deoxyribonucleic acid (DNA ) was extracted and amplified with CYP2D6*4 and *10 primers using polymerase chain reaction (PCR) and digested by Bacillus stereothermophilus (BstN1) and Hemophilus parahemolyticus (Hph1) restriction enzymes. The digested bands were identified as wild type or mutants and their genotypic frequencies were estimated statistically by Hardy-Weinberg equation (HWE) and analyzed further under non-parametric Chi-square test. Results: The results mentioned the frequencies of CYP2D6*1 wild allele (57%) which produces functional enzyme in normal subjects but CYP2D6*4 variant (9%) that produces non-functional enzyme and CYP2D6*10 allele (70%) produces altered enzyme with reduced activity that was most prevalent in schizophrenic patients. Conclusion : Genotyping of CYP2D6 alleles among schizophrenic patients indicated prevalence of *4 and *10 variants in Karachi population producing non-functional and reduced functional drugs metabolizing enzymes respectively that increases the incurability rate of schizophrenia. Therefore, CYP2D6 gene screening program should be conducted routinely in clinical practice to help clinicians to prescribing appropriate doses according to patient’s genotype and minimize the sufferings of schizophrenia. Discussion: In last, drug response is a complex phenomenon that is dependent on genetic and environmental factors. CYP2D6 polymorphism may un-cured the schizophrenia due to improper drug metabolism and protein-proteins interaction that may alter the antipsychotic drugs metabolism among patients with variable drug resposes. Gene testing system need to establish for analyzing maximum patient’s genotypes predicted with poor metabolizer, intermediate metabolizer and ultrarapid metabolizer for the adjustment of antipsychotic drugs.

scholarly journals Abnormal expression of rno_circRNA_014900 and rno_circRNA_005442 induced by ketamine in the rat hippocampus

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jing Mao ◽  
Tianmei Li ◽  
Di Fan ◽  
Hongli Zhou ◽  
Jianguo Feng ◽  
...  
Keyword(s):  
Target Genes ◽  
Circular Rna ◽  
Fold Change ◽  
Rat Hippocampus ◽  
Antidepressant Effect ◽  
Signal Pathways ◽  
Qrt Pcr ◽  
Abnormal Expression ◽  
Reverse Transcription Pcr ◽  
Pathway Analyses

Abstract Background Recent studies have shown that circular RNA (circRNA) is rich in microRNA (miRNA) binding sites. We have previously demonstrated that the antidepressant effect of ketamine is related to the abnormal expression of various miRNAs in the brain. This study determined the expression profile of circRNAs in the hippocampus of rats treated with ketamine. Methods The aberrantly expressed circRNAs in rat hippocampus after ketamine injection were analyzed by microarray chip, and we further validated these circRNAs by quantitative reverse-transcription PCR (qRT-PCR). The target genes of the different circRNAs were predicted using bioinformatic analyses, and the functions and signal pathways of these target genes were investigated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Results Microarray analysis showed that five circRNAs were aberrantly expressed in rat hippocampus after ketamine injection (fold change > 2.0, p < 0.05). The results from the qRT-PCR showed that one of the circRNAs was significantly increased (rno_circRNA_014900; fold change = 2.37; p = 0.03), while one was significantly reduced (rno_circRNA_005442; fold change = 0.37; p = 0.01). We discovered a significant enrichment in several GO terms and pathways associated with depression. Conclusion Our findings showed the abnormal expression of ketamine-induced hippocampal circRNAs in rats.

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