scholarly journals Using bioinformatics and metabolomics to identify altered granulosa cells in patients with diminished ovarian reserve

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9812
Author(s):  
Ruifen He ◽  
Zhongying Zhao ◽  
Yongxiu Yang ◽  
Xiaolei Liang
Keyword(s):  
Granulosa Cells ◽  
Ovarian Reserve ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Reproductive Potential ◽  
Diminished Ovarian Reserve ◽  
Functional Enrichment ◽  
Fertility Treatment ◽  
Control Group ◽  
Steroid Biosynthesis

Background During fertility treatment, diminished ovarian reserve (DOR) is a challenge that can seriously affect a patient’s reproductive potential. However, the pathogenesis of DOR is still unclear and its treatment options are limited. This study aimed to explore DOR’s molecular mechanisms. Methods We used R software to analyze the mRNA microarray dataset E-MTAB-391 downloaded from ArrayExpress, screen for differentially expressed genes (DEGs), and perform functional enrichment analyses. We also constructed the protein-protein interaction (PPI) and miRNA-mRNA networks. Ovarian granulosa cells (GCs) from women with DOR and the control group were collected to perform untargeted metabolomics analyses. Additionally, small molecule drugs were identified using the Connectivity Map database. Results We ultimately identified 138 DEGs. Our gene ontology (GO) analysis indicated that DEGs were mainly enriched in cytokine and steroid biosynthetic processes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG), the DEGs were mainly enriched in the AGE (advanced glycation end-product)-RAGE (receptor for AGE) signaling pathway in diabetic complications and steroid biosynthesis. In the PPI network, we determined that JUN, EGR1, HMGCR, ATF3, and SQLE were hub genes that may be involved in steroid biosynthesis and inflammation. miRNAs also played a role in DOR development by regulating target genes. We validated the differences in steroid metabolism across GCs using liquid chromatography-tandem mass spectrometry (LC-MS/MS). We selected 31 small molecules with potentially positive or negative influences on DOR development. Conclusion We found that steroidogenesis and inflammation played critical roles in DOR development, and our results provide promising insights for predicting and treating DOR.

Features of the ovarian reserve of women of reproductive age suffering from autoimmune diseases

GYNECOLOGY ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 27-30
Author(s):  
Elena N. Andreeva ◽  
Olga R. Grigoryan ◽  
Yulia S. Absatarova ◽  
Irina S. Yarovaya ◽  
Robert K. Mikheev
Keyword(s):  
Type 1 Diabetes ◽  
Thyroid Gland ◽  
Autoimmune Diseases ◽  
Ovarian Reserve ◽  
Reproductive Potential ◽  
Reproductive Age ◽  
Control Group ◽  
Antithyroid Antibodies ◽  
Healthy Women

The reproductive potential of a woman depends on indicators of the ovarian reserve, such as the anti-Muller hormone (AMH) and the number of antral follicles (NAF). Autoimmune diseases have a significant effect on fertility and contribute to the development of premature ovarian failure. Aim.To evaluate the parameters of the ovarian reserve in patients with type 1 diabetes mellitus, carriers of antibodies to the thyroid gland in a state of euthyroidism and compare them with similar parameters in healthy women. Materials and methods.In the first block of the study, the level of AMH, follicle-stimulating hormone, luteinizing hormone, NAF was studied among 224 women with diabetes and 230 healthy women in the control group. In block II, the level of the above hormonal indices was studied in 35 carriers of antithyroid antibodies in the state of euthyroidism and 35 healthy women. Results.In patients with type 1 diabetes, the level of AMH, NAF was statistically significantly lower when compared with the control group. Among carriers of antithyroid antibodies and healthy women, no difference in AMH and NAF was found. Conclusion.The autoimmune processes accompanying diabetes are more influenced by the ovarian reserve indices than autoimmune aggression to the tissues of the thyroid gland.

scholarly journals Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pusheng Quan ◽  
Kai Wang ◽  
Shi Yan ◽  
Shirong Wen ◽  
Chengqun Wei ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Drug Target ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Control Group ◽  
Drug Candidates ◽  
Novel Drug

AbstractThis study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential mechanisms. Then, we collected drugs and related targets from DrugBank, narrowed the list by proximity scores and Inverted Gene Set Enrichment analysis of drug targets, and identified potential drug candidates for PD treatment. Finally, we compared the expression distribution of the candidate drug-target genes between the PD group and the control group in the public dataset with the largest sample size (GSE99039) in Gene Expression Omnibus. Ten drugs with an FDR < 0.1 and their corresponding targets were identified. Some target genes of the ten drugs significantly overlapped with PD-related genes or already known therapeutic targets for PD. Nine differentially expressed drug-target genes with p < 0.05 were screened. This work will facilitate further research into the possible efficacy of new drugs for PD and will provide valuable clues for drug design.

Elevation of MicroRNA-126 Levels in Intracranial Aneurysm and Bioinformatic Analysis of Potential Molecular Mechanisms

2021 ◽  
Vol 11 (4) ◽  
pp. 573-579
Author(s):  
Pan Huang ◽  
Min Xu ◽  
Xiao-Ying He
Keyword(s):  
Intracranial Aneurysm ◽  
Peripheral Blood ◽  
Target Gene ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Kegg Pathway ◽  
Bioinformatic Analysis ◽  
Control Group ◽  
Potential Target ◽  
Fas Signaling

The study is to investigation of microRNA-126 levels in patients with intracranial aneurysm and bioinformatic analysis of the molecular mechanisms involved. A total of 166 patients with ICA who were hospitalized or examined in our hospital from September 2015 to December 2017 were used as the experimental group (ICA group). This group included 120 patients with unruptured intracranial aneurysm (UICA; UICA group) and 46 patients with ruptured intracranial aneurysm (RICA); RICA group). The UICA group was further subdivided into 42 surgical groups (S group) and 78 nonsurgical groups (NS group). Sixty-three normal people without intracranial aneurysms were selected as the control group. RT-PCR was used to quantitatively detect the relative expression of microRNA- 126 in peripheral blood mononuclear cells at the time of admission and immediately after surgery. The UCSC database was used to analyze the gene locus and homology of microRNA-126. The TargetScan database and CoMeTa database were used to predict the potential target genes of microRNA-126. The DAVID database was used to enrich the function of potential target genes of microRNA-126 (GO enrichment) and KEGG pathway enrichment for analysis. The expression level of microRNA-126 in peripheral blood was significantly higher in the ICA group than in the control group (P <0.01), significantly higher in the RICA group than in the UICA group (P <0.05). Expression was also higher in the NS group than in the S group but the difference was nonsignificant (P >0.05). A total of 15 potential target genes including ITGA6, CRK, PCDH7, and ADAM9 were identified through the target gene prediction software and GO analysis and KEGG pathway analysis showed that the function of the microRNA-126 target gene was mainly focused on protein binding and the FAS signaling pathway. In Conclusion the microRNA-126 is up-regulated in ICA patients and affects ICA by regulating multiple target genes in the FAS signaling pathway.

scholarly journals Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Lian Wang ◽  
Ruifeng Lu ◽  
Yujia Wang ◽  
Xiaoyun Wang ◽  
Dan Hao ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Molecular Mechanisms ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Control Group ◽  
Group 13 ◽  
Regulatory Processes ◽  
Coexpression Networks

Rosacea is a chronic and relapsing inflammatory cutaneous disorder with highly variable prevalence worldwide that adversely affects the health of patients and their quality of life. However, the molecular characterization of each rosacea subtype is still unclear. Furthermore, little is known about the role of long noncoding RNAs (lncRNAs) in the pathogenesis or regulatory processes of this disorder. In the current study, we established lncRNA-mRNA coexpression networks for three rosacea subtypes (erythematotelangiectatic, papulopustular, and phymatous) and performed their functional enrichment analyses using Gene Onotology, KEGG, GSEA, and WGCNA. Compared to the control group, 13 differentially expressed lncRNAs and 525 differentially expressed mRNAs were identified in the three rosacea subtypes. The differentially expressed genes identified were enriched in four signaling pathways and the GO terms found were associated with leukocyte migration. In addition, we found nine differentially expressed lncRNAs in all three rosacea subtype-related networks, including NEAT1 and HOTAIR, which may play important roles in the pathology of rosacea. Our study provided novel insights into lncRNA-mRNA coexpression networks to discover the molecular mechanisms involved in rosacea development that can be used as future targets of rosacea diagnosis, prevention, and treatment.

scholarly journals Identification of miRNA and Their Regulatory Effects Induced by Total Flavonoids From Dracocephalum moldavica in the Treatment of Vascular Dementia

2021 ◽  
Vol 12 ◽  
Author(s):  
Mimin Liu ◽  
Guangzhi Shan ◽  
Hailun Jiang ◽  
Li Zeng ◽  
Kaiyue Zhao ◽  
...  
Keyword(s):  
Vascular Dementia ◽  
Target Gene ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Bioinformatics Analysis ◽  
Gene Profiling ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Total Flavonoids ◽  
Compound Target

Vascular dementia (VaD) is a general term used to describe difficulties in memory, reasoning, judgment, and planning caused by a reduced blood flow to the brain and consequent brain damage, in which microRNAs (miRNAs) are involved. Dracocephalum moldavica L. (D. moldavica) is traditionally used in the treatment of cardiovascular diseases as well as VaD, but the biomolecular mechanisms underlying its therapeutic effect are obscure. In the present study, the molecular mechanisms involved in the treatment of VaD by the total flavonoids from Dracocephalum moldavica L. (TFDM) were explored by the identification of miRNA profiling using bioinformatics analysis and experimental verification. A total of 2,562 differentially expressed miRNAs (DEMs) and 3,522 differentially expressed genes (DEGs) were obtained from the GSE120584 and GSE122063 datasets, in which the gene functional enrichment and protein-protein interaction network of 93 core targets, originated from the intersection of the top DEM target genes and DEGs, were established for VaD gene profiling. One hundred and eighty-five targets interacting with 42 flavonoids in the TFDM were included in a compound-target network, subsequently found that they overlapped with potential targets for VaD. These 43 targets could be considered in the treatment of VaD by TFDM, and included CaMKII, MAPK, MAPT, PI3K, and KDR, closely associated with the vascular protective effect of TFDM, as well as anti-oxidative, anti-inflammatory, and anti-apoptotic properties. The subsequent analysis of the compound-target gene-miRNA network indicated that eight miRNAs that mediated 43 targets had a close interaction with TFDM, suggesting that the neuroprotective effects were principally due to kaempferol, apigenin, luteolin, and quercetin, which were mostly associated with the miR-3184-3p/ESR1, miR-6762-3p/CDK1, miR-6777-3p/ESRRA, and other related axes. Furthermore, the in vitro oxygen-glucose deprivation (OGD) model demonstrated that the dysregulation of miR-3184-3p and miR-6875-5p found by qRT-PCR was consistent with the changes in the bioinformatics analysis. TFDM and its active compounds involving tilianin, luteolin, and apigenin showed significant effects on the upregulation of miR-3184-3p and downregulation of miR-6875-5p in OGD-injured cells, in line with the improved cell viability. In conclusion, our findings revealed the underlying miRNA-target gene network and potential targets of TFDM in the treatment of VaD.

Validation of novel hub genes and molecular mechanisms in acute lung injury using an integrative bioinformatics approach

2021 ◽  
Author(s):  
Qingchun Liang ◽  
Qin Zhou ◽  
Jinhe Li ◽  
Zhugui Chen ◽  
Zhihao Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Acute Lung Injury ◽  
Lung Injury ◽  
Molecular Mechanisms ◽  
Molecular Biomarkers ◽  
Functional Enrichment ◽  
Lung Injury Score ◽  
Control Group ◽  
High Morbidity ◽  
Hub Genes

Abstract Acute lung injury (ALI) is an inflammatory pulmonary disease that can easily develop into serious acute respiratory distress syndrome, which has high morbidity and mortality. However, the molecular mechanism of ALI remains unclear, and few molecular biomarkers for diagnosis and treatment have been identified. In this study, we aimed to identify novel molecular biomarkers using a bioinformatics approach. Gene expression data were obtained from the Gene Expression Omnibus database, co-expressed differentially expressed genes (CoDEGs) were identified using R software, and further functional enrichment analyses were conducted using the online tool Database for Annotation, Visualization, and Integrated Discovery. A protein–protein interaction network was established using the STRING database and Cytoscape software. Lipopolysaccharide (LPS)-induced ALI mouse model was constructed and verified. The hub genes were screened and validated in vivo. The transcription factors (TFs) and miRNAs associated with the hub genes were predicted using the NetworkAnalyst database. In total, 71 CoDEGs were screened and found to be mainly involved in the cytokine–cytokine receptor interactions, and the tumor necrosis factor and malaria signaling pathways. Animal experiments showed that the lung injury score, bronchoalveolar lavage fluid protein concentration, and wet-to-dry weight ratio were higher in the LPS group than those in the control group. Real-time polymerase chain reaction analysis indicated that most of the hub genes such as colony-stimulating factor 2 (Csf2) were overexpressed in the LPS group. A total of 20 TFs including nuclear respiratory factor 1 (NRF1) and two miRNAs were predicted to be regulators of the hub genes. In summary, Csf2 may serve as a novel diagnostic and therapeutic target for ALI. NRF1 and mmu-mir-122-5p may be key regulators in the development of ALI.

scholarly journals Biological functional annotation of retinoic acid alpha and beta in mouse liver based on genome-wide binding

2014 ◽  
Vol 307 (2) ◽  
pp. G205-G218 ◽  
Author(s):  
Yuqi He ◽  
Jessica Tsuei ◽  
Yu-Jui Yvonne Wan
Keyword(s):  
Retinoic Acid ◽  
Functional Annotation ◽  
Mouse Liver ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Biological Effects ◽  
Control Group ◽  
Receptor Isoforms ◽  
Genome Wide ◽  
Pathway Regulation

Retinoic acid (RA) has diverse biological effects. The liver stores vitamin A, generates RA, and expresses receptors for RA. The current study examines the hepatic binding profile of two RA receptor isoforms, RARA (RARα) and RARB (RARβ), in response to RA treatment in mouse livers. Our data uncovered 35,521, and 14,968 genomic bindings for RARA and RARB, respectively. Each expressed unique and common bindings, implying their redundant and specific roles. RARB has higher RA responsiveness than RARB. RA treatment generated 18,821 novel RARB bindings but only 14,798 of RARA bindings, compared with the control group. RAR frequently bound the consensus hormone response element [HRE; (A/G)G(G/T)TCA], which often contained the motifs assigned to SP1, GABPA, and FOXA2, suggesting potential interactions between those transcriptional factors. Functional annotation coupled with principle component analysis revealed that the function of RAR target genes were motif dependent. Taken together, the cistrome of RARA and RARB revealed their extensive biological roles in the mouse liver. RAR target genes are enriched in various biological processes. The hepatic RAR genome-wide binding data can help us understand the global molecular mechanisms underlying RAR and RA-mediated gene and pathway regulation.

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