Network-based analysis of key regulatory genes implicated in Type 2 Diabetes Mellitus and Recurrent Miscarriages in Turner Syndrome.
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ABSTRACT:
SUBMITTER: Farooqui A
PROVIDER: S-EPMC8140125 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Turner Syndrome (TS) is a condition where several genes are affected but the molecular mechanism remains unknown. Identifying the genes that regulate the TS network is one of the main challenges in understanding its aetiology. Here, we studied the regulatory network from manually curated genes reported in the literature and identified essential proteins involved in TS. The power-law distribution analysis showed that TS network carries scale-free hierarchical fractal attributes. This organization of the network maintained the self-ruled constitution of nodes at various levels without having centrality-lethality control systems. Out of twenty-seven genes culminating into leading hubs in the network, we identified two key regulators (KRs) i.e. KDM6A and BDNF. These KRs serve as the backbone for all the network activities. Removal of KRs does not cause its breakdown, rather a change in the topological properties was observed. Since essential proteins are evolutionarily conserved, the orthologs of selected interacting proteins in C. elegans, cat and macaque monkey (lower to higher level organisms) were identified. We deciphered three important interologs i.e. KDM6A-WDR5, KDM6A-ASH2L and WDR5-ASH2L that form a triangular motif. In conclusion, these KRs and identified interologs are expected to regulate the TS network signifying their biological importance.
| S-EPMC6031616 | biostudies-literature
Project description:Background: Turner syndrome (TS) is a sex chromosome aneuploidy with a variable spectrum of symptoms including short stature, ovarian failure and skeletal abnormalities. The etiology of TS is complex, and the mechanisms driving its pathogenesis remain unclear. Methods: In our study, we used the online Gene Expression Omnibus (GEO) microarray expression profiling dataset GSE46687 to identify differentially expressed genes (DEGs) between monosomy X TS patients and normal female individuals. The relevant data on 26 subjects with TS (45,XO) and 10 subjects with the normal karyotype (46,XX) was investigated. Then, tissue-specific gene expression, functional enrichment, and protein-protein interaction (PPI) network analyses were performed, and the key modules were identified. Results: In total, 25 upregulated and 60 downregulated genes were identified in the differential expression analysis. The tissue-specific gene expression analysis of the DEGs revealed that the system with the most highly enriched tissue-specific gene expression was the hematologic/immune system, followed by the skin/skeletal muscle and neurologic systems. The PPI network analysis, construction of key modules and manual screening of tissue-specific gene expression resulted in the identification of the following five genes of interest: CD99, CSF2RA, MYL9, MYLPF, and IGFBP2. CD99 and CSF2RA are involved in the hematologic/immune system, MYL9 and MYLPF are related to the circulatory system, and IGFBP2 is related to skeletal abnormalities. In addition, several genes of interest with possible roles in the pathogenesis of TS were identified as being associated with the hematologic/immune system or metabolism. Conclusion: This discovery-driven analysis may be a useful method for elucidating novel mechanisms underlying TS. However, more experiments are needed to further explore the relationships between these genes and TS in the future.
| S-EPMC7069359 | biostudies-literature
Project description:AimTurner Syndrome (TS) is caused by partial or complete absence of the second sex chromosome in a phenotypic female. TS is associated with recognizable congenital anomalies and chronic health conditions. The principal objective of this study was to evaluate the health-related knowledge and insight of participants.MethodsIn 2015, we founded the UTHealth Turner Syndrome Research Registry for longitudinal follow-up of individuals with TS. Study participants were recruited from UTHealth Houston clinics and the Turner Syndrome Society of the United States. Participants completed a questionnaire about demographics, karyotype, congenital anomalies, health history, frequency of contact with care providers, and knowledge of care providers about TS.ResultsForty percent of registry participants indicated that they did not know their karyotypes. Knowledge of karyotype, which can predict clinical outcomes in TS, markedly varied by self-reported race and ethnicity but not by age. Participants also reported significant gaps in routine medical and gynecologic care.ConclusionWe identified knowledge gaps and health disparities that could benefit from improved provider and patient education.
| S-EPMC10398636 | biostudies-literature
Project description:CONTEXT:Recurrent miscarriages, the loss of three or more consecutive intrauterine pregnancies before 20 weeks of gestation with the same partner, affect 1%-1.5% of the pregnant population. The inadequate secretion of progesterone in early pregnancy has been proposed as a cause of recurrent miscarriages. AIMS:The aim was to investigate the efficacy of progesterone supplementation in patients with unexplained recurrent miscarriages. SETTINGS AND DESIGN:This was a 9-year cohort study of women with otherwise unexplained recurrent miscarriages who attended a recurrent miscarriage clinic in a tertiary care university hospital. SUBJECTS AND METHODS:Women with at least three unexplained recurrent miscarriages were included in the study. They were divided into three groups according to their initial and 48-h repeat progesterone levels. For women with inadequate endogenous progesterone secretion, natural progesterone vaginal pessaries 400 mg 12-hourly were offered until 12 weeks gestation. STATISTICAL ANALYSIS:Proportions and 95% confidence intervals calculated for categorical variables and the chi-square test were used to show statistical significance. Medians and ranges were calculated for noncontinuous variables. RESULTS:Pregnancy cycles (n = 203) were analyzed to examine the miscarriage rate following progesterone supplementation. Overall live birth and miscarriage rates were 63% and 36%, respectively. When analyzed by the number of previous miscarriages there was a reduction in the miscarriage rate following progesterone supplementation in women with 4 previous miscarriages when compared with historical data. CONCLUSIONS:Progesterone supplementation may have beneficial effects in women with otherwise unexplained recurrent miscarriages.
| S-EPMC3604830 | biostudies-literature
Project description:BackgroundTurner syndrome (TS) is caused by the absence or fragmentation of the second sex chromosome. An increased risk of diabetes mellitus (DM) has consistently been noted, but the specific phenotype and genetic etiology of this trait are unknown.MethodsIn a prospective study, we examined the prevalence of DM in adult participants in an intramural National Institutes of Health (NIH) TS study. Results were analyzed with respect to karyotype, age, body mass index (BMI), and autoimmune indices. Insulin sensitivity and secretion were compared in age- and BMI-matched euglycemic women with TS and healthy female controls. We compared gene expression profiles in lymphocytes from differentially affected TS groups.ResultsType 2 DM was present in 56 of 224 (25%) of the women with TS; type 1 DM was found in only one woman (<0.5%). DM was more prevalent among women with an isoXq chromosome compared to X monosomy (40.0 vs. 17.3%; P = 0.004). Euglycemic women with TS (n = 72; age, 33 +/- 12 yr; BMI, 23 +/- 3 kg/m(2)) had significantly higher glycemic and lower insulin responses to OGTT, with insulin sensitivity similar to controls. Gene expression profiles comparing 46,X,i(X)q vs. 45,X groups showed a significant increase in Xq transcripts and in potentially diabetogenic autosomal transcripts in the isoXq group.ConclusionType 2 DM associated with deficient insulin release is significantly increased among women with monosomy for the X-chromosome but is increased even more among women with monosomy for Xp coupled with trisomy for Xq. These data suggest that haploinsufficiency for unknown Xp genes increases risk for DM and that excess dosage of Xq genes compounds the risk.
| S-EPMC2741724 | biostudies-literature
Project description:BackgroundOur study aimed to investigate signature RNAs and their potential roles in type 1 diabetes mellitus (T1DM) using a competing endogenous RNA regulatory network analysis.MethodsExpression profiles of GSE55100, deposited from peripheral blood mononuclear cells of 12 T1DM patients and 10 normal controls, were downloaded from the Gene Expression Omnibus to uncover differentially expressed long non-coding RNAs (lncRNAs), mRNAs, and microRNAs (miRNAs). The ceRNA regulatory network was constructed, then functional and pathway enrichment analysis was conducted. AT1DM-related ceRNA regulatory network was established based on the Human microRNA Disease Database to carry out pathway enrichment analysis. Meanwhile, the T1DM-related pathways were retrieved from the Comparative Toxicogenomics Database (CTD).ResultsIn total, 847 mRNAs, 41 lncRNAs, and 38 miRNAs were significantly differentially expressed. The ceRNA regulatory network consisted of 12 lncRNAs, 10 miRNAs, and 24 mRNAs. Two miRNAs (hsa-miR-181a and hsa-miR-1275) were screened as T1DM-related miRNAs to build the T1DM-related ceRNA regulatory network, in which genes were considerably enriched in seven pathways. Moreover, three overlapping pathways, including the phosphatidylinositol signaling system (involving PIP4K2A, INPP4A, PIP4K2C, and CALM1); dopaminergic synapse (involving CALM1 and PPP2R5C); and the insulin signaling pathway (involving CBLB and CALM1) were revealed by comparing with T1DM-related pathways in the CTD, which involved four lncRNAs (LINC01278, TRG-AS1, MIAT, and GAS5-AS1).ConclusionThe identified signature RNAs may serve as important regulators in the pathogenesis of T1DM.
| S-EPMC8130321 | biostudies-literature
Project description:BACKGROUND:We aimed to determine the risk conferred by metabolic syndrome (METS) and diabetes mellitus (DM) to recurrent stroke in patients with minor ischemic stroke or transient ischemic attack from the CHANCE (Clopidogrel in High-risk patients with Acute Non-disabling Cerebrovascular Events) trial. METHODS AND RESULTS:In total, 3044 patients were included. Patients were stratified into 4 groups: neither, METS only, DM only, or both. METS was defined using the Chinese Diabetes Society (CDS) and International Diabetes Foundation (IDF) definitions. The primary outcome was new stroke (including ischemic and hemorrhagic) at 90 days. A multivariable Cox regression model was used to assess the relationship of METS and DM status to the risk of recurrent stroke adjusted for potential covariates. Using the CDS criteria of METS, 53.2%, 17.2%, 19.8%, and 9.8% of patients were diagnosed as neither, METS only, DM only, and both, respectively. After 90 days of follow-up, there were 299 new strokes (293 ischemic, 6 hemorrhagic). Patients with DM only (16.1% versus 6.8%; adjusted hazard ratio 2.50, 95% CI 1.89-3.39) and both (17.1% versus 6.8%; adjusted hazard ratio 2.76, 95% CI 1.98-3.86) had significantly increased rates of recurrent stroke. No interaction effect of antiplatelet therapy by different METS or DM status for the risk of recurrent stroke (P=0.82 for interaction in the fully adjusted model of CDS) was observed. Using the METS (IDF) criteria demonstrated similar results. CONCLUSIONS:Concurrent METS and DM was associated with an increased risk of recurrent stroke in patients with minor stroke and transient ischemic attack.
| S-EPMC5669168 | biostudies-literature
Project description:Neural tube defects (NTDs) remain one of the most serious birth defects, and although genes in several pathways have been implicated as risk factors for neural tube defects via knockout mouse models, very few molecular causes in humans have been identified. Whole exome sequencing identified deleterious variants in key apoptotic genes in two families with recurrent neural tube defects. Functional studies in fibroblasts indicate that these variants are loss-of-function, as apoptosis is significantly reduced. This is the first report of variants in apoptotic genes contributing to neural tube defect risk in humans.
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Project description:High androgen level impairs endometrial receptivity in women experiences the recurrent miscarriage. The mechanism of androgen actions on endometrium is still uncertain. We hypothesized that androgen has a direct effect on the endometrium in women with recurrent miscarriage. In the present study, we assess the impact of androgen (A2) at high concentration (10-7 M) on Ishikawa cells compared with the physiological concentration of androgen (10-9 M). To go into deeper analysis, we use global stable isotopes labeled profiling tactic using iTRAQ reagents, followed by 2D LC-MS/MS. We determine 175 non-redundant proteins, and 18 of these were quantified. The analysis of differentially expressed proteins (DEPs) identified 8 up-regulated proteins and 10 down-regulated in the high androgen group. These DEPs were examined by ingenuity pathway (IPA) analysis and established that these proteins might play vital roles in recurrent miscarriage and endometrium receptivity. In addition, proteins cyclin-dependent kinase inhibitor 2a (CDKN2a), endothelial protein C receptor (EPCR), armadillo repeat for velocardiofacial (ARVCF) were independently confirmed using western blot. Knockdown of CDKN2a significantly decreased the expression level of CDKN2a protein in ishikawa cells, and decreased migration (p < 0.01), invasion (p < 0.05), proliferation (p < 0.05), and the rate of Jar spheroid attachment (p < 0.05) to Ishikawa cell monolayer. The present results suggest that androgen at high concentration could alter the expression levels of proteins related to endometrium development and embryo implantation, which might be a cause of the impaired endometrial receptivity and miscarriage.
| S-EPMC5973874 | biostudies-literature
Project description:Abstract AbstractBackground: Type II diabetes mellitus (T2DM), characterized by fasting hyperglycemia and impaired insulin secretion and action, is a global health burden. Despite the advances in this field, the mechanism underlying T2DM is far from clear. Objective: The present study sheds light upon a systematic evaluation of the genes, pathways, and interaction networks underlying T2DM with the aid of bioinformatics. Methods: Two Gene Expression Omnibus microarray datasets: GSE148961 and GSE26168 were selected for this study. The common differentially expressed genes (DEG) were sorted by the cutoff |logFC|≥1.0 for the first dataset and |logFC|≥0.263 for the second. Gene Ontology (GO), functional enrichment, and protein-protein interaction (PPI) network were analyzed in Search Tool for the Retrieval of Interacting Genes (STRING). The MCODE and CytoHubba plugins in Cytoscape (v3.7.2) were used to identify gene clusters and top hub genes, respectively. Top 10 nodes were ranked in CytoHubba according to MCC, DMNC, MNC, Degree, and EPC methods, and genes common in at least 3 methods were selected as top nodes. Results: 88 common DEGs were identified by Venn diagram (http://bioinformatics.psb.ugent.be/cgi-bin/liste/Venn/calculate_venn.htpl). GO analysis had 91 significantly enriched biological processes, including regulated exocytosis, secretion, vesicle mediated transport, antibacterial humoral response, and neutrophil degranulation. 4 molecular functions- fibrinogen binding, fibronectin binding, lipopolysaccharide binding, and Extracellular matrix binding; and 38 cellular components, including secretory vesicle, endomembrane system, and adherens junction were significant. The PPI network was highly significant (p-value < 0.001) at medium confidence (0.400) with 88 nodes, 140 edges, and an average node degree of 3.18. The MCODE plugin revealed two clusters, the former with 14 nodes, 73 edges, and a score of 9.733, and the latter with 6 nodes, 14 edges, and a score of 4.000. 9 candidate genes: ELANE, DEFA4, BPI, MPO, LTF, CAMP, OLFM4, LCN2, and VCL were identified, amongst which ELANE, LCN2, and MPO are associated with T2DM pathogenesis, while BPI and LTF have protective effects. OLFM4 deletion has been observed to improve glucose tolerance in mice models. Conclusion: This study provides a comprehensive analysis of genes, pathways, and functions which may be pivotal in T2DM pathogenesis and may represent potential therapeutic targets.
| S-EPMC8090555 | biostudies-literature