Protein-protein Interaction Network Analysis Research Articles

Understanding the relationship between inflammation, apoptosis, and diabetes osteoporosis: A bioinformatics approach and experimental verification.

Diabetes osteoporosis (DOP) is a chronic metabolic bone disease. This study aimed to identify potential biomarkers of DOP and explore their underlying mechanisms through bioinformatics methods and experimental verification. Bioinformatics methods were used to identify differentially expressed genes (DEGs) for DOP based on GEO data and the GeneCards database. GO and KEGG enrichment analyses were used to search the key pathways. The STRING website was used to construct a protein-protein interaction (PPI) network and identify key genes. Then, 50 mg/mL glucose was used to interveneosteoblasts (OBs).CCK-8 and Alizarin Red staining were used to investigate the proliferation and differentiation changes in OBs. Flowcytometry was used to investigate apoptosis. The membrane protein chip, WB, and RT-PCR were used to verify the expression of key targets or pathways about DOP. Forty-two common genes were screened between DOP-related targets and DEGs. GO and KEGG enrichment analysis showed that DOP was mainly associated with cytokine-cytokine receptor interactions, and apoptosis. PPI network analysis showed that TNF, IL1A, IL6, IL1B, IL2RA, Fas ligand (FASLG), and Fas cell surface death receptor (FAS) were key up-regulated genes in the occurrence of DOP. The experiment results show that 50 mg/mL glucose significantly inhibited OBs proliferation but presented an increase in apoptosis. Membrane protein chip, WB, and RT-PCR-verified a significantly active in the expression of TNF/FASLG/FAS pathway. High glucose activated the TNF-α/FAS/FASLG pathway and induced the inflammatory microenvironment and apoptosis, then impaired osteogenic differentiation of OBs. These may be an important mechanism for the occurrence and development of DOP.

Bioinformatics analysis of therapeutic targets for idiopathic pulmonary fibrosis and exploration of immune cell infiltration patterns

Idiopathic pulmonary fibrosis (IPF) is a severe progressive lung disease characterized by fibrotic changes in lung tissue, with limited treatment options. This study analyzed gene expression data from three gene expression omnibus datasets (GSE2052, GSE53845, and GSE110147) using R and LIMMA to identify differentially expressed genes (DEGs) in IPF samples. We identified 215 DEGs, comprising 106 upregulated and 109 downregulated genes. Weighted gene coexpression network analysis revealed five gene modules, with the module eigengene yellow showing the strongest correlation with IPF. Functional enrichment analysis of 40 consensus genes in this module indicated their significant involvement in extracellular matrix (ECM) organization. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed pathways related to protein digestion, cell adhesion molecules, and the advanced glycation end product–receptor for advanced glycation end product signaling pathway. Based on protein–protein interaction network analysis, collagen type XV alpha 1 chain (COL15A1) and collagen type VI alpha 3 chain (COL6A3) were identified as upregulated hub genes in IPF, which were regulated by microRNAs and transcription factors. Immune cell infiltration analysis showed significant changes in immune cell populations in IPF samples, with increases in memory B cells, plasma cells, and M0 macrophages and decreases in CD8 T cells, and resting natural killer cells. Potential drugs targeting COL15A1 and COL6A3 were predicted using multiple databases, revealing compounds such as (+)-JQ1, aristolochic acid I, and dexamethasone with promising binding potential. These findings suggest that COL15A1 and COL6A3 are central hub genes in IPF, are associated with ECM organization and immune response, and serve as therapeutic targets for IPF.

Cimicifuga heracleifolia Kom. attenuates ulcerative colitis through the PI3K/AKT/NF-κB signaling pathway

Ethnopharmacological relevanceCimicifuga heracleifolia Kom. (C. heracleifolia) has demonstrated efficacy in treating gastrointestinal disorders, including splenasthenic diarrhea. Ulcerative colitis (UC), a chronic inflammatory bowel disease, shares similarities with splenasthenic diarrhea. However, the pharmacological effects of C. heracleifolia on UC and the underlying mechanisms remain unexplored.Aim of the study: The present study investigates the therapeutic potential and mechanisms of C. heracleifolia in UC. MethodsInitially, network pharmacology analysis, encompassing ingredient screening, target prediction, protein-protein interaction (PPI) network analysis, and enrichment analysis, was employed to predict the mechanisms of C. heracleifolia. The findings were further validated using transcriptomics and functional assays in a dextran sulfate sodium (DSS)-induced UC model. Additionally, bioactive compounds were identified through surface plasmon resonance (SPR) analysis, molecular docking, and cell-based assays. ResultsA total of 52 ingredients of C. heracleifolia were screened, and 32 key targets were identified within a PPI network comprising 285 potential therapeutic targets. Enrichment analysis indicated that the anti-UC effects of C. heracleifolia are mediated through immune response modulation and the inhibition of inflammatory signaling pathways. In vivo experiments showed that C. heracleifolia mitigated histological damage in the colon, reduced the expression of phosphorylated Akt1, nuclear factor-kappa B (NF-κB) p65, and inhibitor of Kappa B kinase α/β (IKKα/β), suppressed the content of interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α), and enhanced the expression of tight junction proteins. Moreover, cimigenoside, caffeic acid, and methyl caffeate were identified as the bioactive constituents responsible for the UC treatment effects of C. heracleifolia. ConclusionsIn summary, this study is the first to demonstrate that C. heracleifolia exerts therapeutic effects on UC by enhancing the intestinal mucosal barrier and inhibiting the phosphatidylinositol 3-kinase (PI3K)/AKT/NF-κB signaling pathway. These findings offer valuable insights into the clinical application of C. heracleifolia for UC management.

Critical Role of S100A9 in Sepsis-associated Acute Kidney Injury: Mechanistic Insights through Pyroptosis Pathway Modulation.

This study investigates the role of S100A9 in sepsis-associated AKI (SA-AKI) through the lens of pyroptosis, a controlled form of cell death mediated by the gasdermin protein family. Using C57BL/6 mice and S100A9 knockout mice subjected to cecal ligation and puncture (CLP), RNA sequencing and bioinformatics analyses revealed differentially expressed genes (DEGs) related to inflammation and immune responses, with notable upregulation of S100A9. Functional enrichment analyses (GO and KEGG) indicated these DEGs are involved in interferon-beta response, immune processes, and cell adhesion. Protein-protein interaction (PPI) network analyses further emphasized S100A9's pivotal role in SA-AKI.Clinical validation measured S100A9 levels in serum and urine samples from SA-AKI patients and healthy volunteers, finding elevated S100A9 levels in the former. In vivo experiments showed that S100A9 knockout mice exhibited reduced kidney injury and inflammation, indicated by lower serum creatinine, urea nitrogen, and inflammatory markers (IL-1β and IL-18). Histopathological analyses and immunohistochemistry confirmed less renal damage and reduced expression of cleaved IL-1β and GSDMD-N in S100A9-deficient mice. Electron microscopy and Western blotting validated that S100A9 deficiency mitigates caspase-1-dependent pyroptosis.Cellular experiments with HK-2 cells demonstrated that S100A9 knockdown alleviated LPS-induced cell damage and reduced pyroptosis markers. These findings illuminate S100A9's involvement in NLRP3 inflammasome activation and pyroptosis, suggesting potential therapeutic targets for SA-AKI. Targeting S100A9 may offer new therapeutic avenues, improving outcomes for sepsis-related kidney injury patients. Future research should aim to validate these findings in larger clinical settings.

Exploring the mechanisms of Cornus officinalis in the treatment of non-alcoholic steatohepatitis using network pharmacology, molecular docking and molecular dynamics simulations

Non-alcoholic steatohepatitis (NASH) is a predominant metabolic liver disease, typically characterized by hepatic steatosis, oxidative stress, and inflammation. The traditional Chinese medicine Cornus officinalis possesses anti-inflammatory and hepatoprotective pharmacological properties and has shown ameliorative effects on NASH. however, its mechanism of action remains unclear. This study aims to elucidate the mechanisms by which C. officinalis ameliorates NASH. The active components of C. officinalis were analyzed using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), and the corresponding targets were predicted. Subsequently, the DisGeNET, GeneCards, and GEO databases were employed to identify NASH-related targets. Venn diagrams were used to intersect the C. officinalis targets with the NASH targets. Protein–protein interaction (PPI) networks were constructed using the STRING database, and PPI network analysis was performed using Cytoscape. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID), followed by molecular docking validation. Cornus officinalis was found to contain 20 major active ingredients corresponding to 672 potential targets, 61 of which overlapped with NASH targets. PPI network, GO, and KEGG pathway analyses identified four targets with the highest correlation, and molecular docking results indicated that the active ingredients of C. officinalis exhibited strong binding affinities to NASH targets. The treatment of NASH with C. officinalis is characterized by multiple active ingredients and multiple targets, underscoring the major advantage of traditional Chinese medicine in treating NASH.

Gene expression changes in mouse lung induced by subacute inhalation of PM10-rich particulate matter

Introduction Particulate matter (PM) air pollution is associated with an increased incidence of lung diseases, but the underlying mechanisms have not been fully elucidated. In this study, a mouse model of subacute lung inflammation was employed to investigate the cellular responses and gene expression changes induced by exposure to natural ambient air pollution. Methods C57BL/6J mice were exposed to road dust (primarily PM10) at 150 µg/m³ for 21 days (8 h/day) through a nose-only inhalation exposure system. Lung tissues were analyzed for the expression of proinflammatory signaling, oxidative stress, and fibrosis markers. RNA-sequencing analysis was conducted to identify differentially expressed genes (DEGs). A gene ontology over-representation analysis was performed to identify the altered genetic pathways. Results Elevated levels of proinflammatory cytokines, including IL-1β, IL-6, and TNF-α, and an increase in phosphorylated MAPK were determined in the road dust exposure group compared to the control group. Histopathological examinations revealed more severe lung inflammation and damage in the exposed mice, including fibrosis and bronchiolar hyperplasia. Gene expression profiling identified 108 DEGs, with decreases in most except genes such as Krt15 and Reg3g. The protein–protein interaction network analysis together with text-mining identified 18 key hub genes, associated with fatty acid oxidation, lipid metabolism, and peroxisomes. Conclusion This study identified key genes, signaling pathways, and cellular responses in mouse lung affected by road dust exposure. These findings contribute to a deeper understanding of the transcriptional and cellular responses induced by subacute exposure to the PM in road dust.

In-silico identification of therapeutic targets in pancreatic ductal adenocarcinoma using WGCNA and Trader

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy, accounting for over 90% of pancreatic cancers, and is characterized by limited treatment options and poor survival rates. Systems biology provides in-depth insights into the molecular mechanisms of PDAC. In this context, novel algorithms and comprehensive strategies are essential for advancing the identification of critical network nodes and therapeutic targets within disease-related protein-protein interaction networks. This study employed a comprehensive computational strategy using the metaheuristic algorithm Trader to enhance the identification of potential therapeutic targets. Analysis of the expression data from the PDAC dataset (GSE132956) involved co-expression analysis and clustering of differentially expressed genes to identify key disease-associated modules. The STRING database was used to construct a network of differentially expressed genes, and the Trader algorithm pinpointed the top 30 DEGs whose removal caused the most significant network disconnections. Enriched gene ontology terms included “Signaling by Rho GTPases,” “Signaling by receptor tyrosine kinases,” and “immune system.” Additionally, nine hub genes—FYN, MAPK3, CDK2, SNRPG, GNAQ, PAK1, LPCAT4, MAP1LC3B, and FBN1—were identified as central to PDAC pathogenesis. This integrated approach, combining co-expression analysis with protein-protein interaction network analysis using a metaheuristic algorithm, provides valuable insights into PDAC mechanisms and highlights several hub genes as potential therapeutic targets.

Genome-Wide Identification and Expression Analysis of the BTB Gene Superfamily Provides Insight into Sex Determination and Early Gonadal Development of Alligator sinensis

The BTB gene superfamily is widely distributed among higher eukaryotes and plays a significant role in numerous biological processes. However, there is limited knowledge about the structure and function of BTB genes in the critically endangered species Alligator sinensis, which is endemic to China. A total of 170 BTB genes were identified from the A. sinensis genome, classified into 13 families, and unevenly distributed across 16 chromosomes. Analysis of gene duplication events yielded eight pairs of tandem duplication genes and six pairs of segmental duplication genes. Phylogenetics shows that the AsBTB genes are evolutionarily conserved. The cis-regulatory elements in the AsBTB family promoter region reveal their involvement in multiple biological processes. Protein interaction network analysis indicates that the protein interactions of the AsBTB genes are centered around CLU-3, mainly participating in the regulation of biological processes through the ubiquitination pathway. The expression profile and protein interaction network analysis of AsBTB genes during sex differentiation and early gonadal development indicate that AsBTB genes are widely expressed in this process and involves numerous genes and pathways for regulation. This study provides a basis for further investigation of the role of the BTB gene in sex differentiation and gonadal development in A. sinensis.

Comparative Transcriptomes of Canine and Human Prostate Cancers Identify Mediators of Castration Resistance.

Prostate cancer continues to be one of the most lethal cancers in men. While androgen deprivation therapy is initially effective in treating prostate cancer, most cases of advanced prostate cancer eventually progress to castration-resistant prostate cancer (CRPC), which is incurable. Similarly, the most aggressive form of prostatic carcinoma occurs in dogs that have been castrated. To identify molecular similarities between canine prostate cancer and human CRPC, we performed a comparative analysis of gene expression profiles. Through this transcriptomic analysis, we found that prostatic carcinoma in castrated dogs demonstrates an androgen-indifferent phenotype, characterised by low-androgen receptor and neuroendocrine-associated genes. Notably, we identified two genes, ISG15 and AZGP1, that were consistently up- and down-regulated, respectively, in both canine prostatic carcinoma and human CRPC. Additionally, we identified several other genes, including GPX3, S100P and IFITM1, that exhibited similar expression patterns in both species. Protein-protein interaction network analysis demonstrated that these five genes were part of a larger network of interferon-induced genes, suggesting that they may act together in signalling pathways that are disrupted in prostate cancer. Accordingly, our findings suggest that the interferon pathway may play a role in the development and progression of CRPC in both dogs and humans and chart a new therapeutic approach.

Bioinformatics analysis of effective biomarkers and immune infiltration in type 2 diabetes with cognitive impairment and aging

With the increasing prevalence of diabetes mellitus worldwide, type 2 diabetes mellitus (T2D) combined with cognitive impairment and aging has become one of the common and important complications of diabetes mellitus, which seriously affects the quality of life of the patients, and imposes a heavy burden on the patients’ families and the society. Currently, there are no special measures for the treatment of cognitive impairment and aging in type 2 diabetes mellitus. Therefore, the search for potential biological markers of type 2 diabetes mellitus combined with cognitive impairment and aging is of great significance for future precisive treatment. We downloaded three gene expression datasets from the GEO database: GSE161355 (related to T2D with cognitive impairment and aging), GSE122063, and GSE5281 (related to Alzheimer’s disease). Differentially expressed genes (DEGs) were identified, followed by gene set enrichment analysis (GSEA). A protein-protein interaction (PPI) network was constructed using the STRING database, and the top 15 hub genes were identified using the CytoHubba plugin in Cytoscape. Core genes were ultimately determined using three machine learning methods: LASSO regression, Support Vector Machine Recursive Feature Elimination (SVM-RFE), and Linear Discriminant Analysis (LDA). The diagnostic performance of these genes was assessed using ROC curve analysis and validated in an independent dataset (GSE5281). Regulatory genes related to ferroptosis were screened from the FerrDb database, and their biological functions were further explored through GO and KEGG enrichment analyses. Finally, the CIBERSORT algorithm was used to analyze immune cell infiltration, and the correlation between core genes and immune cell infiltration levels was calculated, leading to the construction of an mRNA-miRNA regulatory network. In the GSE161355 and GSE122063 datasets, 217 common DEGs were identified. GSEA analysis revealed their enrichment in the PI3K-PLC-TRK signaling pathway, TP53 regulation of metabolic genes pathway, Notch signaling pathway, among others. PPI network analysis identified 15 candidate core genes, and further selection using LASSO, LDA, and SVM-RFE machine learning algorithms resulted in 6 core genes: BCL6, TP53, HSP90AA1, CRYAB, IL1B, and DNAJB1. ROC curve analysis indicated that these genes had good diagnostic performance in the GSE161355 dataset, with TP53 and IL1B achieving an AUC of 0.9, indicating the highest predictive accuracy. BCL6, HSP90AA1, CRYAB, and DNAJB1 also had AUCs greater than 0.8, demonstrating moderate predictive accuracy. Validation in the independent dataset GSE5281 showed that these core genes also had good diagnostic performance in Alzheimer’s disease samples (AUC > 0.6). Ferroptosis-related analysis revealed that IL1B and TP53 play significant roles in apoptosis and immune response. Immune cell infiltration analysis showed that IL1B is significantly positively correlated with infiltration levels of monocytes and NK cells, while TP53 is significantly negatively correlated with infiltration levels of follicular helper T cells. The construction of the miRNA-mRNA regulatory network suggested that miR-150a-5p might play a key role in the regulation of T2D-associated cognitive impairment and aging by TP53. This study, by integrating bioinformatics and machine learning methods, identified BCL6, TP53, HSP90AA1, CRYAB, IL1B, and DNAJB1 as potential diagnostic biomarkers for T2D with cognitive impairment and aging, with a particular emphasis on the significance of TP53 and IL1B in immune cell infiltration. These findings not only enhance our understanding of the molecular mechanisms linking type 2 diabetes to cognitive impairment and aging, providing new targets for early diagnosis and treatment, but also offer new directions and targets for basic research.

Multi-Omics Analysis Reveals Molecular Responses of Alkaloid Content Variations in Lycoris aurea Across Different Locations.

Lycoris aurea, celebrated for its visually striking flowers and significant medicinal value due to the presence of alkaloids such as lycorine and galanthamine, has intricate yet poorly understood regulatory mechanisms. This study provides a detailed examination of the transcriptomic, metabolomic and ecological dynamics of L. aurea, aiming to elucidate the underlying molecular mechanisms of alkaloid biosynthesis. Our comparative analysis across different ecological settings highlighted key genes involved in alkaloid biosynthesis, such as genes encoding aldehyde dehydrogenase and norbelladine 4'-O-methyltransferase, which were distinctively increased in the high alkaloids-producing group. We identified a total of 6871 differentially expressed genes and 915 metabolites involved in pathways like terpenoid backbone biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis. Protein interaction network analysis revealed significant upregulation of photosynthesis, photosystem and photosynthetic membrane pathways in the alkaloids-producing region. Furthermore, our research delineated the interactions among soil microbial communities, genes and plant and soil biochemical properties, noting that bacterial populations correlate with soil properties that favour the activation of metabolic pathways essential for alkaloid production. Collectively, this study advances our understanding of the genetic and metabolic alkaloid biosynthesis pathways in L. aurea, shedding light on the complex interactions that govern alkaloid production.

Dihydroartemisinin Modulates Prostate Cancer Progression by Regulating Multiple Genes via the Transcription Factor NR2F2.

This study aimed to investigate the effect of dihydroartemisinin (DHA) on DU145 cells and the role of NR2F2 (COUP-TFII) and its potential target genes in this process. GSE122625 was used to identify differentially expressed genes (DEGs) between the DHA-treated and control groups. Protein-protein interaction (PPI) network analysis was performed to identify hub genes, and the ChEA3 database was used to identify potential transcription factors. qRT-PCR and Western blot were used to validate the expression of genes of interest and functional assays were performed to evaluate the effect of DHA on DU145 and PC-3 cells. To solidify the regulatory relationship of NR2F2 with EFNB2, EBF1, ETS1, and VEGFA, a Chromatin Immunoprecipitation (ChIP) experiment was performed. We identified 85 DEGs in DU145 cells treated with DHA, and PPI network analysis identified NR2F2 as a hub gene and potential transcription factor. The regulatory network of NR2F2 and its potential target genes (EFNB2, EBF1, ETS1, and VEGFA) was constructed, and the expression of these genes was upregulated in DHA-treated cells compared to control cells. Functional assays showed that DHA treatment inhibited epithelial-mesenchymal transition, reduced inflammation, and promoted apoptosis in DU145 and PC-3 cells. Furthermore, NR2F2 knockdown receded the DHA-induced upregulation of target genes and functional changes of DU145 and PC-3 cells. The outcomes of ChIP unequivocally pointed to a positive regulatory role of NR2F2 in these gene expressions. Our study suggests that DHA treatment affects the functions of DU145 and PC-3 cells by regulating the expression of NR2F2 and its potential target genes, and NR2F2 may serve as a potential therapeutic target for prostate cancer.

Exploring novel natural compound-based therapies for Duchenne muscular dystrophy management: insights from network pharmacology, QSAR modeling, molecular dynamics, and free energy calculations

Muscular dystrophies encompass a heterogeneous group of rare neuromuscular diseases characterized by progressive muscle degeneration and weakness. Among these, Duchenne muscular dystrophy (DMD) stands out as one of the most severe forms. The present study employs an integrative approach combining network pharmacology, quantitative structure-activity relationship (QSAR) modeling, molecular dynamics (MD) simulations, and free energy calculations to identify potential therapeutic targets and natural compounds for DMD. Upon analyzing the GSE38417 dataset, it was found that individuals with DMD exhibited 290 upregulated differentially expressed genes (DEGs) compared to healthy controls. By utilizing gene ontology (GO) and protein-protein interaction (PPI) network analysis, this study provides insights into the functional roles of the identified DEGs, identifying ten hub genes that play a critical role in the pathology of DMD. These key genes include DMD, TTN, PLEC, DTNA, PKP2, SLC24A, FBXO32, SNTA1, SMAD3, and NOS1. Furthermore, through the use of ligand-based pharmacophore modeling and virtual screening, three natural compounds were identified as potential inhibitors. Among these, compounds 3874518 and 12314417 have demonstrated significant promise as an inhibitor of the SMAD3 protein, a crucial factor in the fibrotic and inflammatory mechanisms associated with DMD. The therapeutic potential of the compounds was further supported by molecular dynamics simulation and Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) analysis. These findings suggest that the compounds are viable candidates for experimental validation against DMD.

Alternative splicing dynamically regulates common carp embryogenesis under thermal stress

BackgroundThermal stress is a major environmental factor affecting fish development and survival. Common carp (Cyprinus carpio) are susceptible to heat stress in their embryonic and larval phases, but the thermal stress response of alternative splicing during common carp embryogenesis remains poorly understood.ResultsUsing RNA-seq data from eight developmental stages and four temperatures, we constructed a comprehensive profile of alternative splicing (AS) during the embryogenesis of common carp, and found that AS genes and events are widely distributed among all stages. A total of 5,835 developmental stage-specific AS (SAS) genes, 21,368 temperature-specific differentially expressed genes (TDEGs), and 2,652 temperature-specific differentially AS (TDAS) genes were identified. Hub TDAS genes in each developmental stage, such as taf2, hnrnpa1, and drg2, were identified through protein–protein interaction (PPI) network analysis. The early developmental stages may be more sensitive to temperature, with thermal stress leading to a massive increase in the number of expressed transcripts, TDEGs, and TDAS genes in the morula stage, followed by the gastrula stage. GO and KEGG analyses showed that from the morula stage to the neurula stage, TDAS genes were more involved in intracellular transport, protein modification, and localization processes, while from the optic vesicle stage to one day post-hatching, they participated more in biosynthetic processes. Further subgenomic analysis revealed that the number of AS genes and events in subgenome B was generally higher than that in subgenome A, and the homologous AS genes were significantly enriched in basic life activity pathways, such as mTOR signaling pathway, p53 signaling pathway, and MAPK signaling pathway. Additionally, lncRNAs can play a regulatory role in the response to thermal stress by targeting AS genes such as lmnl3, affecting biological processes such as apoptosis and axon guidance.ConclusionsIn short, thermal stress can affect alternative splicing regulation during common carp embryogenesis at multiple levels. Our work complemented some gaps in the study of alternative splicing at both levels of embryogenesis and thermal stress in C. carpio and contributed to the comprehension of environmental adaptation formation in polyploid fishes during embryogenesis.

Scutellaria baicalensis ameliorates allergic airway inflammation through agonism and transcriptional regulation of TAS2Rs

Ethnopharmacological relevanceScutellaria baicalensis Georgi (SCB, Huangqin) is a traditional medicinal plant used to treat fever and respiratory diseases. SCB has a good therapeutic effect on asthma and anti-inflammation in traditional clinic use. However, the molecular mechanism and targets of SCB in treating asthma are still unclear. Aim of the studyCombining transcriptomic analysis and in vitro experimental validation, this study aimed to reveal the molecular mechanism and targets of SCB in treating asthma. Materials and methodsThe anti-asthmatic effects of SCB and its active components, scutellarin and oroxylin A, were evaluated in ovalbumin (OVA)-induced rats by analysis of pulmonary function and pathology. The signaling pathways in rat pulmonary tissue were analyzed using transcriptomics and protein interaction network analysis. Calcium mobilization assay and molecular docking were utilized to discover the active compounds from SCB with agonism activity of type 2 taste receptors (TAS2Rs). The anti-asthmatic effect and transcriptional regulation of TAS2Rs regulated by SCB and its active components were analyzed in vitro. ResultsExtracts of SCB (ESB), scutellarin, and oroxylin A ameliorated airway function and inflammation in OVA-induced rats. The anti-asthma mechanism of ESB, scutellarin and oroxylin A was highly related to immune and taste transduction pathways based on transcriptomic analysis, especially the TAS2Rs signaling pathway. ESB was the direct agonist of TAS2R4 and TAS2R14 with EC50 of 209.1 and 217.2 μg/mL based on calcium mobilization assay, respectively. Baicalein was the main active component for TAS2R4 agonism activity, and scutellarin and oroxylin A had weak agonism activity of TAS2R4 and TAS2R14 through calcium mobilization assay and molecular docking. However, scutellarin and oroxylin A significantly upregulated the gene expression of Tas2r108 (the mouse ortholog of the TAS2R4) in lung tissue. ESB, scutellarin, and oroxylin A inhibited LPS-induced lactate dehydrogenase release and gene expression of TNF through transcriptional regulation of TAS2R4 and TAS2R14 on bronchial epithelial cells. ESB and oroxylin A ameliorated IgE-induced β-hexosaminidase release and gene expression of Il4 and Tnf and upregulated gene expression of Tas2r108. ConclusionThese results provided new insight into the anti-asthmatic mechanism of SCB and active components, scutellarin and oroxylin A, through agonism and transcriptional regulation of TAS2Rs to ameliorate allergic airway inflammation.

To Explore the Mechanism of Maiwei Dihuang Decoction in the Treatment of Non-small Cell Lung Cancer based on Network Pharmacology Combined with LC-MS.

To explore the mechanism of Maiwei Dihuang decoction in the treatment of non-small cell lung cancer (NSCLC) by using network pharmacology and LC-MS technology. The effective components in Maiwei Dihuang decoction were detected by liquid chromatography- mass spectrometry (LC-MS). Use the SuperPred database to collect the relevant targets of the active ingredients of Mai Wei Di Tang, and then collect the relevant targets of nonsmall cell lung cancer from GeneCards, DisgenNET and OMIM databases. On this basis, PPI network construction, GO enrichment analysis and KEGG pathway annotation analysis were carried out for target sites. Finally, AutoDock Vina is used for molecular docking. We further screened 16 effective Chinese herbal compounds through LC-MS combined with ADME level. On this basis, we obtained 77 core targets through protein interaction network analysis. Through GO, KEGG analysis and molecular docking results, we finally screened out the potential targets of Maiwei Dihuang Decoction for NSCLC: TP53, STAT3, MAPK3. Maiwei Dihuang decoction may play a role in the treatment of NSCLC by coregulating TP53/STAT3/MAPK3 signal pathway.

Comprehensive Proteomic Analysis of Dysferlinopathy Unveiling Molecular Mechanisms and Biomarkers Linked to Pathological Progression.

Previous proteomics studies in dysferlinopathy muscle have been limited in scope, often utilizing 2D-electrophoresis and yielding only a small number of differential expression calls. To address this gap, this study aimed to employ high-resolution proteomics to explore the proteomic landscapes of dysferlinopathy and analyze the correlation between muscle pathological changes and alterations in protein expression in muscle biopsies. We conducted a comprehensive approach to investigate the proteomic profile and disease-associated changes in the muscle tissue proteome from 15 patients with dysferlinopathy, exhibiting varying degrees of dystrophic pathology, alongside age-matched controls. Our methodology encompasses tandem mass tag (TMT)-labeled liquid chromatography-mass spectrometry (LC-MS/MS)-based proteomics, protein-protein interaction (PPI) network analysis, weighted gene co-expression network analysis, and differential expression analysis. Subsequently, we examined the correlation between the expression of key proteins and the clinical characteristics of the patients to identify pathogenic targets associated with DYSF mutations in dysferlinopathy. A total of 1600 differentially expressed proteins were identified, with 1321 showing high expression levels and 279 expressed at lower levels. Our investigation yields a molecular profile delineating the altered protein networks in dysferlinopathy-afflicted skeletal muscle, uncovering dysregulation across numerous cellular pathways and molecular processes, including mRNA metabolic processes, regulated exocytosis, immune response, muscle system processes, energy metabolic processes, and calcium transmembrane transport. Moreover, we observe significant associations between the protein expression of ANXA1, ANXA2, ANXA4, ANXA5, LMNA, PYGM, and the extent of histopathologic changes in muscle biopsies from patients with dysferlinopathy, validated through immunoblotting and immunofluorescence assays. Through the aggregation of expression data from dysferlinopathy-impacted muscles exhibiting a range of pathological alterations, we identified multiple key proteins associated with the dystrophic pathology of patients with dysferlinopathy. These findings provide novel insights into the pathogenesis of dysferlinopathy and propose promising targets for future therapeutic endeavors.

Comprehensive Bioinformatics Analysis Reveals the Potential Role of the hsa_circ_0001081/miR-26b-5p Axis in Regulating COL15A1 and TRIB3 within Hypoxia-Induced miRNA/mRNA Networks in Glioblastoma Cells

Background/Objectives: The intrinsic molecular heterogeneity of glioblastoma (GBM) is one of the main reasons for its resistance to conventional treatment. Mesenchymal GBM niches are associated with hypoxic signatures and a negative influence on patients’ prognosis. To date, competing endogenous RNA (ceRNA) networks have been shown to have a broad impact on the progression of various cancers. In this study, we decided to construct hypoxia-specific microRNA/ messengerRNA (miRNA/mRNA) networks with a putative circular RNA (circRNA) regulatory component using available bioinformatics tools. Methods: For ceRNA network construction, we combined publicly available data deposited in the Gene Expression Omnibus (GEO) and interaction pairs obtained from miRTarBase and circBank; a differential expression analysis of GBM cells was performed with limma and deseq2. For the gene ontology (GO) enrichment analysis, we utilized clusterProfiler; GBM molecular subtype analysis was performed in the Glioma Bio Discovery Portal (Glioma-BioDP). Results: We observed that miR-26b-5p, generally considered a tumor suppressor, was upregulated under hypoxic conditions in U-87 MG cells. Moreover, miR-26b-5p could potentially inhibit TRIB3, a gene associated with tumor proliferation. Protein-protein interaction (PPI) network and GO enrichment analyses identified a hypoxia-specific subcluster enriched in collagen-associated terms, with six genes highly expressed in the mesenchymal glioma group. This subcluster included hsa_circ_0001081/miR-26b-5p-affected COL15A1, a gene downregulated in hypoxic U-87 MG cells yet highly expressed in the mesenchymal GBM subtype. Conclusions: The interplay between miR-26b-5p, COL15A1, and TRIB3 suggests a complex regulatory mechanism that may influence the extracellular matrix composition and the mesenchymal transformation in GBM. However, the precise impact of the hsa_circ_0001081/miR-26b-5p axis on collagen-associated processes in hypoxia-induced GBM cells remains unclear and warrants further investigation.

Investigation of adipocyte differentiation based on proteomics and intact N-glycopeptide modificationomics

ObjectiveTo investigate the role of N-glycosylation modification of proteins in adipocyte differentiation during the adipogenic process. MethodsSVF cells and adipocytes were analyzed for proteomics and intact N-glycopeptide modificationomics.Differential expression of proteins, glycoforms, and sites between the two groups was screened and subjected to Gene Ontology (GO) functional enrichment analysis, KEGG pathway enrichment analysis, and protein-protein interaction (PPI) network analysis. The top 20 most significantly differentially expressed adipogenic differentiation-related proteins were identified, and the most pronouncedly altered proteins were analyzed for glycoforms, glycan chains, and sites. ResultsProteomics analysis identified 39,392 peptides and 5208 proteins, while intact N-glycopeptide modification profiling identified 3293 intact glycopeptides, 426 proteins, and 161 glycan chains. Proteomics identified 2510 differentially expressed proteins, with CD36 (Cluster of Differentiation 36, CD36) significantly upregulated. In adipocytes, CD36 had 4 N-glycosylation sites: N79, N220, N320, N417, with N320 being a newly identified site. GO enrichment results indicated that CD36 is associated with fatty acid oxidation, lipid oxidation, and fatty acid uptake into cells. ConclusionMultiple proteins undergo N-glycosylation modification during adipocyte differentiation, with CD36, a fatty acid translocase, being significantly expressed in adipocytes. This suggests that N-glycosylation modification of CD36 may play a crucial role in adipocyte differentiation, providing a foundation for further investigation into the function of CD36 N-glycosylation in adipocyte differentiation.

Identification of key ubiquitination-related genes in gestational diabetes mellitus: A bioinformatics-driven study.

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance that occurs during pregnancy. This study aimed to identify key ubiquitination-related genes associated with GDM pathogenesis. Microarray data from GSE154377 was analyzed to identify differentially expressed genes (DEGs) in GDM vs normal pregnancy samples. Weighted gene co-expression network analysis was performed on ubiquitination-related genes. Functional enrichment, protein-protein interaction network, and TF-mRNA-miRNA interaction network analyses were conducted on differentially expressed ubiquitination-related genes (DE-URGs). We identified 2337 DEGs and 65 DE-URGs in GDM. Functional enrichment analysis of the 65 DE-URGs revealed involvement in protein ubiquitination and ubiquitin-dependent catabolic processes. Protein-protein interaction network analysis identified 8 hub genes, including MAP1LC3C, USP26, USP6, UBE2U, USP2, USP43, UCHL1, and USP44. ROC curve analysis showed these hub genes have high diagnostic accuracy for GDM (AUC > 0.6). The TF-mRNA-miRNA interaction network suggested USP2 and UCHL1 may be key ubiquitination genes in GDM. In conclusion, this study contributes to our understanding of the molecular landscape of GDM by uncovering key ubiquitination-related genes. These findings may serve as a foundation for further investigations, offering potential biomarkers and therapeutic targets for clinical applications in GDM management.