Growth Factor Receptor Binding Research Articles

Differences in BRAF V600E mutation between the epithelium and mesenchyme in classic ameloblastoma

PurposeLaser capture microdissection (LCM) was used to pinpoint the mutated tissue in ameloblastoma and investigate whether B-Raf proto-oncogene, serine/threonine kinase (BRAF) mutation is the main pathogenic gene in classic ameloblastoma. Study DesignA total of 24 patients with ameloblastoma scheduled to undergo surgery between 2000 and 2024 were included in the study. LCM was used to isolate tumor cells. Oxford nanopore technology (ONT) was used to analyze the collected cells. GO and KEGG enrichment analyses were then performed on the 300 most highly expressed genes in the epithelial tissue and mesenchyme. ResultsMandibular follicular ameloblastoma showed BRAF V600E mutations in all epithelial cells but not in the mesenchyme. The mutation rate was significantly higher in mandibular ameloblastomas compared to the maxilla (p<0.05). RNA-seq showed that traditional follicular ameloblastoma epithelium was enriched in "growth factor receptor binding" and "angiogenesis regulation", while the mesenchyme was enriched in "ECM receptor interaction". KEGG enrichment analysis showed differential gene expression, mainly in MAPK and PI3K-AKT pathways. ConclusionClassical follicular ameloblastoma shows the presence of BRAF V600E mutation in epithelial tissue, with a higher mutation rate in the mandible than in the maxilla. The signaling pathways of MAPK and PI3K may be significantly involved in epithelial signal transduction.

Exploring the prognostic value and biological pathways of transcriptomics and radiomics patterns in glioblastoma multiforme

ObjectivesTo develop a multi-omics prognostic model integrating transcriptomics and radiomics for predicting overall survival in patients with glioblastoma multiforme (GBM), and investigate the biological pathways of radiomics patterns. Materials and methodsTranscription profiles of GBM patients and normal controls were used to obtain differentially expressed mRNAs and long non-coding RNAs (lncRNAs). Radiomics features were extracted from magnetic resonance imaging (MRI). Least absolute shrinkage and selection operator (LASSO) Cox regression was employed to select survival-associated features for the construction of transcriptomics and radiomics signatures. Genes associated with GBM prognosis were identified through the analysis of lncRNA-mRNA co-expression networks and Weighted Gene Co-expression Network Analysis (WGCNA), and their biological pathways were investigated using Genomes enrichment analysis. Transcriptomics, radiomics, and clinical data were integrated to evaluate the multi-omics prognostic model's performance. ResultsLASSO Cox regression yielded 21 survival-related features, including 19 transcriptomics features and 2 radiomics features. Based on transcriptomics and radiomics signature, GBM patients were classified as high-risk or low-risk. The genes obtained from the co-expression network screen were associated with microtubule binding, while those from the WGCNA screen were associated with growth factor receptor binding. In the training set, the AUC values for the multi-omics model and clinical model were 0.964 and 0.830, respectively, while in the validation set, they were 0.907 and 0.787. The multi-omics prognostic model outperformed the clinical prognostic model. ConclusionsThe co-expression network and WGCNA methods revealed genes associated with multiple biological pathways in GBM. The multi-omics prognostic model demonstrated excellent performance and indicated significant potential for clinical application.

Determination of molecular pathways and gene ontology of genes associated with Raynaud’s phenomenon

Abstract Objectives Raynaud’s phenomenon (RF) is a disease that causes discoloration of the fingers. The purpose of this study is to identify the molecular pathways in which genes related to RP illness are involved, as well as uncover the biological processes and molecular functions connected with those genes via the use of gene ontology (GO) analysis. Methods Genes associated with RP in the MalaCards Human Diseases database were detected. Twenty genes obtained from the MalaCards Human Diseases database were included in the study for gene ontology analysis via the STRING database. Accordingly, possible interactions between 20 genes were determined through STRING and network enrichment was performed. Results A significant enrichment by gene ontology enrichment analysis was detected in a subset of genes involved in biological processes including cellular response to luteinizing hormone stimulus, negative regulation of fibrinolysis, negative regulation of smooth muscle cell apoptotic process, plasminogen activation, cellular response to follicle-stimulating hormone stimulus. The assay for molecular function determined enrichment of a subset of genes in chemoattractant activity, growth factor activity, heparin binding, sulfur compound binding, growth factor receptor binding. Through the use of KEGG pathways, we were able to identify many molecular processes that contribute to RP, including the AGE-RAGE signaling pathway in diabetic complications, complement and coagulation cascades, fluid shear stress, atherosclerosis. Conclusions Some individuals may have a genetic predisposition to the onset of Raynaud’s phenomenon. Our data showed that it is associated with genes involved in vascular damage and fibrosis, especially in RP. Therefore, we can include RP disease in the group of vascular diseases.

Obesity-related inflammatory protein signature in cardiovascular clinical outcomes: results from the Gutenberg Health Study.

The objective of this study was to investigate whether an obesity-related inflammatory protein signature (OIPS) is associated with adverse cardiovascular events. The Olink Target 96 Inflammation panel was performed in 6662 participants from the population-based Gutenberg Health Study (GHS). The OIPS was selected by a logistic regression model, and its association with cardiovascular outcomes was evaluated by Cox regression analysis. The GHS-derived OIPS was externally validated in the MyoVasc study. The identified OIPS entailed 21 proteins involved in chemokine activity, tumor necrosis factor (TNF) receptor binding, and growth factor receptor binding. The signature revealed a novel positive association of axis inhibition protein 1 with obesity. The OIPS was associated with increased risk of all-cause and cardiac deaths, major adverse cardiovascular events, and incident coronary artery disease, independent of clinical covariates and established risk instruments. A BMI-stratified analysis confirmed the association of OIPS with increased death in those with obesity and overweight and with increased risk for coronary artery disease in those with obesity. The association of OIPS with increased risk of all-cause and cardiac deaths was validated in the MyoVasc cohort. The OIPS showed a significant association with adverse clinical outcomes, particularly in those with overweight and obesity, and represents a promising tool for identifying patients at higher risk for worse cardiovascular outcomes.

The novel candidate gene Grb10 regulates the growth performance of Guizhou white goats

Growth factor receptor binding protein 10 (Grb10) regulates muscle growth but its function in goats is not well studied. This study examined the relationship between Grb10 gene polymorphism and growth traits in Guizhou white goats. Further, the effect of promoter polymorphism on Grb10 transcription was analyzed via a dual-luciferase assay. Quantitative reverse transcription-polymerase chain reaction analysis showed that the expression level of the Grb10 gene was the highest in the longissimus dorsi muscle (P < 0.01) and the lowest in the spleen. Moreover, sequencing results showed that the Grb10 gene had five single nucleotide polymorphisms. The association analysis showed that g.–246 C > T, g.72323 T > C, and g.178634 A > G loci were significantly associated with growth traits (P < 0.05). Linkage disequilibrium analysis of each locus showed that g.72323 T > C and g.72814 T > A loci had the strongest linkage (r2 = 0.482, D' = 0.73). Furthermore, according to an analysis conducted using TFDB4 software, it was predicted that a mutation in the promoter region of the g.–246 C > T locus resulted in the absence of four transcriptional regulatory factors. The results of dual-luciferase reporter assay further demonstrated that mutation of the g.–246 C > T locus reduced the transcriptional activity of the promoter region of the Grb10 gene. These findings suggest that Grb10 gene polymorphism could affect growth traits in goats.

A Continuous Extension of Gene Set Enrichment Analysis Using the Likelihood Ratio Test Statistics Identifies Vascular Endothelial Growth Factor as a Candidate Pathway for Alzheimer's Disease via ITGA5.

Alzheimer's disease (AD) involves brain neuropathologies such as amyloid plaque and hyperphosphorylated tau tangles and is accompanied by cognitive decline. Identifying the biological mechanisms underlying disease onset and progression based on quantifiable phenotypes will help understand disease etiology and devise therapies. Our objective was to identify molecular pathways associated with hallmark AD biomarkers and cognitive status, accounting for variables such as age, sex, education, and APOE genotype. We introduce a pathway-based statistical approach, extending the gene set likelihood ratio test to continuous phenotypes. We first analyzed independently each of the three phenotypes (amyloid-β, tau, cognition) using continuous gene set likelihood ratio tests to account for covariates, including age, sex, education, and APOE genotype. The analysis involved 634 subjects with data available for all three phenotypes, allowing for the identification of common pathways. We identified 14 pathways significantly associated with amyloid-β; 5 associated with tau; and 174 associated with cognition, which showed a larger number of pathways compared to biomarkers. A single pathway, vascular endothelial growth factor receptor binding (VEGF-RB), exhibited associations with all three phenotypes. Mediation analysis showed that among the VEGF-RB family genes, ITGA5 mediates the relationship between cognitive scores and pathological biomarkers. We presented a new statistical approach linking continuous phenotypes, gene expression across pathways, and covariates like sex, age, and education. Our results reinforced VEGF RB2's role in AD cognition and demonstrated ITGA5's significant role in mediating the AD pathology-cognition connection.

Effects of Chemical Fixatives on Kinetic Measurements of Biomolecular Interaction on Cell Membrane.

Understanding the interaction between ligands and membrane proteins is important for drug design and optimization. Although investigation using live cells is desirable, it is not feasible in some circumstances and cell fixation is performed to reduce cell motion and degradation. This study compared the effects of five fixatives, i.e., formaldehyde vapor (FV), paraformaldehyde (PFA), acetone, methanol, and ethanol, on kinetic measurements via the LigandTracer method. We found that all five fixatives exerted insignificant effects on lectin-glycan interaction. However, antibody-receptor interaction is markedly perturbed by coagulant fixatives. The acetone fixation changed the binding of the anti-human epidermal growth factor receptor 2 (HER2) antibody to HER2 on the cell membrane from a 1:2 to a 1:1 binding model, while methanol and ethanol abolished the antibody binding possibly by removal of the HER2 receptors on the cell membrane. The capability of binding was retained when methanol fixation was performed at lower temperatures, albeit with a binding model of 1:1 instead. Moreover, whereas cell morphology does not exert a substantial impact on lectin-glycan interaction, it can indeed modify the binding model of antibody-receptor interaction. Our results provided insights into the selection of fixatives for cell-based kinetic studies.

Identification of angiogenesis-related genes in diabetic foot ulcer using machine learning algorithms

BackgroundDiabetic foot ulcers (DFUs) are among the most prevalent and dangerous complications of diabetes. Angiogenesis is pivotal for wound healing; however, its role in the chronic wound healing process in DFU requires further investigation. We aimed to investigate the pathogenic processes of angiogenesis in DFU from a molecular biology standpoint and to offer insightful information about DFU prevention and therapy. MethodsDifferential gene and weighted gene co-expression network analyses (WGCNA) were employed to screen for genes related to DFU using the downloaded and collated GSES147890 datasets. With the goal of identifying hub genes, an interaction among proteins (PPI) network was constructed, and enrichment analysis was carried out. Utilizing a variety of machine learning techniques, including Boruta, Support Vector Machine Recursive Feature Elimination (SVM-RFE), and Least Absolute Shrinkage and Selection Operator (LASSO), we were able to determine which hub genes most strongly correspond to DFU. This allowed us to create an ideally suited DFU forecasting model that was validated via an external dataset. Finally, by merging 36 angiogenesis-related genes (ARGs) and machine learning models, we identified the genes involved in DFU-related angiogenesis. ResultsBy merging 260 genes located in the green module and 59 differentially expressed genes (DEGs), 35 candidate genes highly associated with DFU were found for more investigation. 35 candidate genes were enriched in epidermal growth factor receptor binding, nuclear division regulation, fluid shear stress, atherosclerosis, and negative regulation of chromosomal structure for the enrichment study. Fifteen hub genes were found with the aid of the CytoHubba plug. The LASSO method scored better in terms of prediction performance (GSE134341) (LASSO:0.89, SVM:0.65, Boruta:0.66) based on the validation of the external datasets. We identified thrombomodulin (THBD) as a key target gene that potentially regulates angiogenesis during DFU development. Based on the external validation dataset (GSE80178 and GSE29221), receiver operating characteristic (ROC) curves with higher efficiency were generated to confirm the potential of THBD as a biomarker of angiogenesis in DFU. Furthermore supporting this finding were the results of Western blot and real-time quantitative polymerase chain reaction (RT-qPCR), which showed decreased THBD expression in human umbilical vein endothelial cells (HUVECs) cultivated under high glucose. ConclusionsThe findings implicate that THBD may influence DFU progression as a potential target for regulating angiogenesis, providing a valuable direction for future studies.

Mechanism of action of Huangbaichen Sanwei formulation in treating T2DM based on network pharmacology and molecular docking.

Huangbaichen Sanwei formulation (HBCS) has been reported to have a good hypoglycemic effect, but its pharmacological mechanism of action remains unclear. We used network pharmacology and molecular docking to explore the potential mechanism of action of HBCS against type-2 diabetes mellitus (T2DM). Fifty-five active components from HBCS interfered with T2DM. Twenty-five core targets, such as AKT1, INS, INSR, MAPK1 were identified. Enrichment analyses showed that HBCS was involved mainly including insulin receptor signaling pathway, extracellular region, and insulin-like growth factor receptor binding and other biological processes; common targets had roles in treating T2DM by regulating diabetic cardiomyopathy and insulin resistance. Molecular docking verified that components combined with core targets. HBCS play a part in treating T2DM through multiple components and targets at the molecular level, which lays a theoretical foundation for research using HBCS to treat T2DM. The components, predicted targets, and T2DM targets of HBCS were searched through databases, and common targets were determined. Further screening of the core targets was conducted through the establishment of a protein -protein interaction network. The core targets were analyzed by Gene Ontology (GO) annotation utilizing the DAVID platform. And the enrichment of signaling pathways was explored by employing the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Cytoscape 3.9.1 was employed to construct a "TCM-components-core target-pathway" network. Autodock Vina was used to dock molecules to compare the binding activity of active molecules with targets.

Experimental study on the therapeutic effect and mechanism of erlotinib on non-proliferative diabetic retinopathy

Experimental study on the therapeutic effect and mechanism of erlotinib on non-proliferative diabetic retinopathy

Erratum: Growth Factor Receptor Bound Protein 2–Associated Binder 2, a Scaffolding Adaptor Protein, Negatively Regulates Host Immunity against Tuberculosis

Erratum: Growth Factor Receptor Bound Protein 2–Associated Binder 2, a Scaffolding Adaptor Protein, Negatively Regulates Host Immunity against Tuberculosis

RILP inhibits tumor progression in osteosarcoma via Grb10-mediated inhibition of the PI3K/AKT/mTOR pathway

BackgroundRab-interacting lysosomal protein (RILP) contains an alpha-helical coil with an unexplored biological function in osteosarcoma. This study investigated the expression of RILP in osteosarcoma cells and tissues to determine the effect of RILP on the biological behaviors of osteosarcoma cells and the underlying mechanism.MethodsTumor Immune Estimation Resource (TIMER) database, The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database were used for bioinformatic analysis. Co-immunoprecipitation experiment was used to determine whether the two proteins were interacting. In functional tests, cell counting kit-8 (CCK-8) assay, colony formation assay, wound healing assay, transwell invasion assay, Immunofluorescence (IF) assay and immunohistochemical (IHC) assay were performed.ResultsOverexpression of RILP significantly inhibited proliferation and impaired metastasis ability of osteosarcoma cells, while silencing of RILP showed the opposite trend. RNA-seq data analysis was applied in 143B cells and pathway enrichment analysis revealed that differentially expressed genes were mainly enriched in the PI3K/AKT pathway. We further verified that overexpression of RILP restrained the PI3K/AKT/mTOR signaling pathway and induced autophagy in osteosarcoma cells, while the opposite trend was observed when PI3K pathway activator 740Y-P was used. 3-Methyladenine (3-MA), a selective autophagy inhibitor, partially attenuated the inhibitory effect of RILP on the migration and invasion ability of osteosarcoma cells, suggesting the involvement of autophagy in epithelial–mesenchymal transition regulation in osteosarcoma cells. Growth factor receptor binding protein-10 (Grb10), an adaptor protein, was confirmed as a potential target of RILP to restrain the PI3K/AKT signaling pathway. We subcutaneously injected stably overexpressing 143B osteosarcoma cells into nude mice and observed that overexpression of RILP inhibited tumor growth by inhibiting the PI3K/AKT/mTOR pathway.ConclusionOur study revealed that the expression of RILP was associated with favorable prognosis of osteosarcoma and RILP inhibits proliferation, migration, and invasion and promotes autophagy in osteosarcoma cells via Grb10-mediated inhibition of the PI3K/AKT/mTOR signaling pathway. In the future, targeting RILP may be a potential strategy for osteosarcoma treatment.

Astragaloside IV against Alzheimer's disease via microglia-mediated neuroinflammation using network pharmacology and experimental validation

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative diseases in the world. The effective therapeutic methods and drugs are still not clear. Astragaloside IV (AS-IV), a triterpenoid saponin isolated from the root of Huangqi, has a beneficial effect in the treatment of AD. However, whether AS-IV alters microglia in the inflammation of AD is still ambiguous. In our study, 99 common targets were collected between AS-IV and AD. BCL2 apoptosis regulator (Bcl-2), pro-apoptotic BCL-2 protein BAX, epidermal growth factor receptor (EGFR), and receptor tyrosine phosphatase type C (PTPRC) were screened for inflammation and microglia in the above targets by network pharmacology. Interleukin-1β (IL-1β) and EGFR both interact with signal transducer and activator of transcription 3 (STAT3) by a protein interaction network, and IL-1β had a higher affinity for AS-IV based on molecular docking. Enrichment revealed targets involved in the regulation of neuronal cell bodies, growth factor receptor binding, EGFR tyrosine kinase inhibitor resistance., etc. Besides, AS-IV alleviated the reduced cell proliferation in amyloid-beta (Aβ)-treated microglial BV2 cells. AS-IV affected BV2 cell morphological changes and decreased cluster of differentiation 11b (CD11b) gene, IL-1β, and EGFR mRNA levels increment during lipopolysaccharide (LPS) injury in BV2 cell activation. Therefore, AS-IV may regulate microglial activation and inflammation via EGFR-dependent pathways in AD. EGFR and IL-1β are vital targets that may relate to each other to coregulate downstream molecular functions in the cure of AD. Our study provides a candidate drug and disease target for the treatment of neurodegenerative diseases in the clinic.

Dual targeting pH responsive chitosan nanoparticles for enhanced active cellular internalization of gemcitabine in non-small cell lung cancer

Lung cancer (LC), related with the enhanced expression of epidermal growth factor receptor (EGFR) and sialic acid binding receptors (glycan) brought about the development of EGFR and glycan receptor specific anticancer therapeutics. The current study assessed the formulation, physiochemical characterization, in vitro and in vivo effects of sialic acid (SA) and cetuximab (Cxmab) decorated chitosan nanoparticles (CSN-NPs) loaded with gemcitabine (GMC) targeted to glycan and EGFR over-expressing non-small-cell lung-cancer (NSCLC) A-549 cells. Chitosan (CSN) was conjugated with sialic acid via EDC/NHS chemistry followed by gemcitabine loaded sialic acid conjugated chitosan nanoparticles (GMC-CSN-SA-NPs) were prepared by ionic gelation method decorated with Cxmab by electrostatic interaction. In vitro cytotoxicity of NPs quantified using cell based MTT, DAPI and Annexing-V/PI apoptosis assays showed superior antiproliferative activity of targeted nanoformulations (GMC-CSN-SA-Cxmab-NPs ≫ GMC-CSN-SA-NPs, GMC-CSN-Cxmab-NPs) over non-targeted nanoformulation (GMC-CSN-NPs) against A-549 cells. In vivopharmacokinetic study showed superior bioavailability and in vivo therapeutic efficacy investigation exhibited strongest anticancer activity of glycan and EGFR targeted NPs (GMC-CSN-SA-Cxmab-NPs). GMC-CSN-SA-Cxmab-NPs demonstrated enhanced cellular internalization and better therapeutic potential, by specifically targeting glycan and EGFR on NSCLC A-549 cells and B[a]P induced lung cancer mice model, hence it might be a good substitute for non-targeted, conventional chemotherapy.

Interaction of Biochemical Processes between Chronic Obstructive Pulmonary Disease (COPD), Pulmonary Arterial Hypertension (PAH), and Coronavirus Disease 2019 (COVID-19).

Both pulmonary arterial hypertension (PAH) and chronic obstructive pulmonary disease (COPD) are risk factors for coronavirus disease 2019 (COVID-19). Patients with lung injury and altered pulmonary vascular anatomy or function are more susceptible to infections. The purpose of the study is to ascertain whether individuals with COPD or PAH are affected synergistically by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Data sources for the construction of a protein-protein interaction (PPI) network and the identification of differentially expressed genes (DEGs) included three RNA-seq datasets from the GEO database (GSE147507, GSE106986, and GSE15197). Then, relationships between miRNAs, common DEGs, and transcription factor (TF) genes were discovered. Functional analysis using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and other databases, as well as the forecasting of antiviral medications for COPD and PAH patients infected with SARS-CoV-2, were also performed. Eleven common DEGs were found in the three datasets, and their biological functions were primarily enriched in the control of protein modification processes, particularly phosphorylation. Growth factor receptor binding reflects molecular function. KEGG analysis indicated that co-DEGs mainly activate Ras, and PI3K-Akt signaling pathways and act on focal adhesions. NFKB1 interacted with HSA-miR-942 in the TF-miRNA-DEGs synergistic regulatory network. Acetaminophen is considered an effective drug candidate. There are some connections between COPD and PAH and the development of COVID-19. This research could aid in developing COVID-19 vaccines and medication candidates that would work well as COVID-19 therapies.

Tauroursodeoxycholic Acid Enhances Osteogenic Differentiation through EGFR/p-Akt/CREB1 Pathway in Mesenchymal Stem Cells.

Mesenchymal stem cells (MSCs) are pluripotent stromal cells that are among the most appealing candidates for regenerative medicine and may aid in the repair and regeneration of skeletal disorders through multiple mechanisms, including angiogenesis, differentiation, and response to inflammatory conditions. Tauroursodeoxycholic acid (TUDCA) has recently been used in various cell types as one of these drugs. The mechanism of osteogenic differentiation by TUDCA in hMSCs remains unknown. Cell proliferation was performed by the WST-1 method, and alkaline phosphatase activity and alizarin red-sulfate staining were used to confirm the osteogenic differentiation indicator. Expression of genes related to bone differentiation and specific genes related to signaling pathways was confirmed by quantitative real-time polymerase chain reaction. We found that cell proliferation was higher as the concentration increased, and showed that the induction of osteogenic differentiation was significantly enhanced. We also show that osteogenic differentiation genes were upregulated, with the expression of the epidermal growth factor receptor (EGFR) and cAMP responsive element binding protein 1 (CREB1) being specifically high. To confirm the participation of the EGFR signaling pathway, the osteogenic differentiation index and expression of osteogenic differentiation genes were determined after using an EGFR inhibitor. As a result, EGFR expression was remarkably low, and that of CREB1, cyclin D1, and cyclin E1 was also significantly low. Therefore, we suggest that TUDCA-induced osteogenic differentiation of human MSCs is enhanced through the EGFR/p-Akt/CREB1 pathway.

Design, Synthesis and Biological Evaluation of Novel Catalpol Derivatives as Potential Pancreatic Cancer Inhibitors.

A series of C10-position imidazole-modified catalpol derivatives are specifically designed and synthesized for serving as potential pancreatic cancer inhibitors, which are characterized by 1 H NMR, 13 C NMR and high-resolution mass spectrometry (HRMS). They were evaluated by the 3-[4, 5-dimethylthiazol-2-yl]-2, 5-diphenyltetrazolium bromide (MTT) test on two human pancreatic cancer cells PANC-1, BxPC-3 and normal pancreatic cell HPDE6-C7, which showed the significant inhibitory effected on the growth of human pancreatic cancer cells of PANC-1 and BxPC-3, especially 91.6% efficacy on BxPC-3, and 73.1% on PANC-1. Simulation studies like molecular docking supported strong binding of vascular endothelial growth factor receptor 2 (VEGFR-2) protein tyrosine kinase (PDB ID: 4AGD), a target of pancreatic cancer. A novel imidazol-modified catalpol compound 3i with strong inhibitory effect on pancreatic cancer cells, which could potentially develop into anti-pancreatic cancer drug candidates in the future.

OA05 Harnessing high throughput multiplex immunoassays and protein association networks to identify diagnostic protein biomarkers of rheumatoid arthritis-cardiovascular disease (RA-CVD) multimorbid axis

Abstract Background/Aims People with rheumatoid arthritis (RA) have higher mortality rates compared to the general population, primarily due to excess cardiovascular (CV) disease (CVD). The earliest stages of RA are associated with CV abnormalities but biomarkers to identify CVD in early RA are lacking. We aimed to identify focused protein biomarkers that associate with cardiac magnetic resonance imaging (CMR) abnormalities in a treatment-naïve, new-onset RA trial cohort and the predominant inflammatory and metabolic pathways involved in RA-CVD. Methods CADERA (Coronary Artery Disease in Early RA) was a bolt-on study to a parent RCT in an early RA inception cohort. 81 treatment-naïve early RA patients underwent CMR at baseline as part of CADERA. Proximity extension immunoassay (OIink) was used to measure normalised protein expression across inflammation, cardiovascular II/III and cardiometabolic panels in CADERA patients. Bayesian mixed effects linear regression was used to identify significant proteins associated with CMR parameters of myocardial oedema/fibrosis and vascular stiffness at baseline. Then, an expanded protein-protein interaction (PPI) network using above proteins was created using an induced network approach (String-DB) and k-means clustering applied to identify protein clusters that were subsequently subjected to Gene ontology (GO) and KEGG enrichment analysis. Results Of 340 proteins analysed using Olink, 108 proteins were associated with CMR markers of myocardial fibrosis/oedema (64 proteins) and vascular stiffness (44 proteins) Table 1 highlights the top 5 proteins for each CMR parameter. K-means clustering of the expanded PPI network identified 4 clusters with roles in vascular endothelial growth factor receptor binding and JAK-STAT signalling pathway (cluster 1); IL27 receptor binding and NF-kappa B signalling pathway (cluster 2); Macrophage CSF receptor binding and ErbB signalling pathway (cluster 3); and IL10 receptor activity and complement and coagulation cascades (cluster 4). Conclusion This is the first study to identify protein biomarkers of RA-CVD, an area of unmet clinical need, using a combination of targeted high throughput immunoassays, Bayesian and network analyses. Targeted techniques such as Olink may help identify potential diagnostic biomarkers of RA-CVD. Pathway analysis provides insight into the inter-relationship between inflammation and metabolic mediators of RA-CVD axis. Disclosure R. Shukla: None. N. Black: None. D. Plant: None. C. Miller: None. S. Plein: None. M.H. Buch: None.

SNORA71C promotes development and metastasis of breast cancer by regulating RUNX1 and ferroptosis.

SNORA71C promotes development and metastasis of breast cancer by regulating RUNX1 and ferroptosis.

Prediction of active marker of seabuckthorn polysaccharides for prevention and treatment of cervical cancer and mechanism study.

To predict the target of Seabuckthorn polysaccharides in the prevention and treatment of cervical cancer, and to explore its multi-target and multi-pathway mechanism. Using the Swisstarget database, a total of 61 potential targets of polysaccharide active components were obtained. Cervical cancer related targets were obtained from the GeneCards database. The correlation score was greater than 5 targets for 2727; 15 intersection targets of active ingredients and disease were obtained by Venn diagram. Cytoscape3.6.0 software was used to construct the Polysaccharide composition-Target-Disease Network and Protein-Protein Interaction Networks (PPI). Cytoscape3.6.0 software was used for visualization and network topology analysis to obtain core targets. Kyoto encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) were analyzed using Metascape database. SailVina and PyMOL software were used for molecular docking to verify binding strength. A total of 15 core targets were obtained for cervical cancer. These targets are significantly enriched in HIF-1 signaling pathway, Galactose metabolism, EGFR tyrosine kinase inhibitor resistance, growth factor receptor binding, carbohydrate binding, protein homodimerization activity and other GO and KEGG entries; Molecular docking showed that ADA and GLB1 were well bound to Glucose, D-Mannose, and Galactose. The effect of seabuckthorn polysaccharides on the prevention and treatment of cervical cancer is characterized by multi-component, multi-target and multi-pathway, which provides scientific basis for further research on the activity of seabuckthorn polysaccharides.