Gene Set Enrichment Research Articles

Transcriptomic Analysis of Early-Stage Basal Cell Carcinomas in Murine Skin Following Topical Treatments With Ablative Fractional Laser and Vismodegib.

Recent studies have demonstrated that ablative fractional laser (AFL) can inhibit the hedgehog pathway, enhance immune infiltration and clear basal cell carcinomas (BCCs) in murine models. In this study, we applied RNA sequencing to further characterise the impact of AFL on the transcriptome of murine skin containing early-stage microscopic BCCs, contrasting it with the effects of topical application of the hedgehog inhibitor vismodegib. Our results showed that BCC induction in murine skin was primarily linked to gene upregulation (significantly upregulated genes: 277, significantly downregulated genes: 24). Characterisation of these genes with Ingenuity Pathway Analysis showed that tumour induction was associated with activation of BCC and Sonic Hedgehog signalling. Both AFL and vismodegib treatments reversed these changes, with vismodegib demonstrating superior performance by reversing most of the upregulated genes (AFL: 59/277; vismodegib: 180/277). Surprisingly, Ingenuity Pathway Analysis also revealed that both AFL and vismodegib treatments caused considerable immune cell infiltration. Based on gene set enrichment analysis and cell type deconvolution, AFL treatment resulted in the largest immune cell recruitment, which for both treatments primarily consisted of infiltrating neutrophils, macrophages and monocytes. In conclusion, the distinct effects observed in BCC skin following AFL and vismodegib treatment suggest key differences between the two interventions. Future applications of AFL or vismodegib treatments could leverage their individual effects, for example by combining the effect of AFL on the immune system with other topical treatments.

Identification biomarkers in disease progression of obstructive sleep apnea from children serum based on WGCNA and Mfuzz.

Obstructive sleep apnea (OSA) syndrome is a prevalent form of respiratory sleep disorder, with an increasing prevalence among children. The consequences of OSA include obesity, diabetes, cardiovascular disease, and neuropsychological diseases. Despite its pervasive impact, a significant proportion of individuals especially children remain unaware that they suffer from OSA. Consequently, there is an urgent need for an accessible diagnostic approach. In this study, we conducted a bioinformatic analysis to identify potential biomarkers from a proteomics dataset comprising serum samples from children with OSA in the progression stage. In the Gene Set Enrichment Analysis (GSEA), we observed that the complement and immune response pathways persisted throughout the development of OSA and could be detected in the early stages. Subsequent to soft clustering and WGCNA analysis, it was revealed that the Hippo pathway, including ITGAL and FERMT3, plays a role in mild OSA. The analysis revealed a significant alteration of the complement and coagulation pathways, including TFPI and MLB2, in moderate OSA. In severe OSA, there was an association between hypoxia and the extracellular matrix (ECM) receptor interaction and collagen binding. In summary, it can be posited that the systemic inflammation may persist throughout the progression of OSA. Furthermore, severe OSA is characterized by abnormal vascular endothelial function, which may be attributed to chronic hypoxia. Finally, four potential biomarkers (ITGAL, TFPI, TTR, ANTXR1) were identified based on LASSO regression, and a prediction model for OSA progression was constructed based on the biomarkers.

Dissecting the Significance of Acid Phosphatase 1 Gene Alterations in Prostate Cancer.

The acid phosphatase 1 (ACP1) gene encodes low-molecular-weight protein tyrosine phosphatase, which is overexpressed in prostate cancer (PC) and a potential therapeutic target. We analyzed ACP1 expression in primary/metastatic PC and its association with molecular profiles and clinical outcomes. NextGen sequencing of DNA (592-gene/whole-exome sequencing)/RNA(whole-transcriptome sequencing) was performed for 5,028 specimens. ACP1-High/ACP1-Low expression was defined as quartile (Q4/1) of RNA transcripts per million (TPM). DNA mutational profiles were analyzed for ACP1-quartile-stratified samples. Gene set enrichment analysis was used for Hallmark collection of pathways. PD-L1+(≥2+, ≥5%; SP142) was tested by immunohistochemistry. Tumor microenvironment's (TME) immune cell fractions were estimated by RNA deconvolution/quanTIseq. Overall survival (OS) was assessed from initial diagnosis/treatment initiation to death/last follow-up. We included 3,058 (60.8%) samples from the prostate, 634 (12.6%) from lymph node metastases (LNMs), and 1,307 (26.0%) from distant metastases (DMs). ACP1 expression was higher in LNM/DM than prostate (49.8/47.9 v 44.1 TPM; P < .0001). TP53 mutations were enriched in ACP1-Q4 (37.9%[Q4] v 27.0%[Q1]; P < .001) among prostate samples. Pathways associated with cell cycle regulation and oxidative phosphorylation were enriched in ACP1-Q4, whereas epithelial-mesenchymal transition and tumor necrosis factor-alpha signaling via nuclear factor kappa-light-chain-enhancer of activated B-cell pathways were enriched in ACP1-Q1. Neuroendocrine and androgen receptor signaling was increased in ACP1-Q4. M2 macrophages and natural killer cell fractions were increased, whereas T cells and M1 macrophages were decreased in ACP1-Q4. While OS differences between ACP1-Q1/Q4 were not statistically significant, there was a trend for worse OS among ACP1-Q4 prostate samples (Q4 v Q1: hazard ratio [HR], 1.19 [95% CI, 0.99 to 1.42]; P = .06) and DM (HR, 1.12 [95% CI, 0.93 to 1.36]; P = .22) but not LNM (HR, 0.98 [95% CI, 0.74 to 1.29]; P = .87). ACP1-High tumors exhibit a distinct molecular profile and cold TME, highlighting ACP1's potential role in PC pathogenesis and novel therapeutic targeting.

Comparison of the Effects of Inappropriate Meal Timing-Induced and Genetic Models of Circadian Clock Disruption on Uterine mRNA Expression Profiles

BackgroundAccumulating evidence reveals that inappropriate meal timing contributes to the development of lifestyle-related diseases. An underlying mechanism is thought to be the disruption of the intracellular circadian clock in various tissues based on observations in both systemic and tissue-specific clock gene-deficient mice. However, whether the effects of conditional clock gene knockout are comparable to those of inappropriate meal timing remains unclear. ObjectivesThis study aimed to compare the effects of a recently developed 28-h feeding cycle model with those of a core clock gene Bmal1 uterine conditional knockout (Bmal1 cKO) model on uterine mRNA expression profiles. MethodsThe models were generated by subjecting C57BL/6J mice to an 8-h/20-h feeding/fasting cycle for 2 wk and crossing Bmal1-floxed mice with PR-Cre mice. Microarray analyses were conducted using uterine samples obtained at the beginning of the dark and light periods. ResultsThe analyses identified 516 and 346, significantly 4-fold and 2-fold, up- or downregulated genes in the 28-h feeding cycle and Bmal1 cKO groups, respectively, compared with each control group. Among these genes, only 7 (1.4%) and 63 (18.2%) were significantly up- or downregulated in the other model. Moreover, most (n = 44, 62.9%) of these genes were oppositely regulated. These findings were confirmed by gene set enrichment analyses. ConclusionsThis study reveals that a 28-h feeding cycle and Bmal1 cKO differently affect gene expression profiles and highlights the need for considering this difference to assess the pathophysiology of diseases associated with inappropriate meal timing.

Comprehensive analysis of prognostic and immunological role of basement membrane-related genes in soft tissue sarcoma.

Soft tissue sarcoma (STS) represents highly multifarious malignant tumors that often occur in adolescents and have a poor prognosis. The basement membrane, as an ancient cellular matrix, was recently proven to play a vital role in developing abundant tumors. The relationship between basement membrane-related genes and STS remains unknown. Consensus clustering was employed to identify subgroups related to differentially expressed basement membrane-related genes. Cox and least absolute shrinkage and selection operator regression analyses were utilized to construct this novel signature. Then, we established a nomogram and calibration curve, including the risk score and available clinical characteristics. Finally, we carried out functional enrichment analysis and immune microenvironment analysis to investigate enriched pathways and the tumor immune microenvironment related to the novel signature. A prognostic predictive signature consisting of eight basement membrane-related genes was established. Kaplan-Meier survival curves demonstrated that the patients in the high-risk group had a poor prognosis. Independent analysis illustrated that this risk model could be an independent prognostic predictor. We validated the accuracy of our signature in the validation data set. In addition, gene set enrichment analysis and immune microenvironment analysis showed that patients with low-risk scores were enriched in some pathways associated with immunity. Finally, in vitro experiments showed significantly differential expression levels of these signature genes in STS cells and PSAT1 could promote the malignant behavior of STS. The novel signature is a promising prognostic predictor for STS. The present study may improve the prognosis and enhance individualized treatment for STS in the future.

The immunomodulatory role of the MAFB gene in hepatocellular carcinoma and its impact on biological activities

ObjectiveThe transcription factor MAFB is part of the MAF family and is known to promote hepatocellular carcinoma (HCC) by upregulating cyclin D1. However, its role in HCC immunity and prognosis remains unclear. This study explores the biological function, prognostic significance, and immune impact of MAFB in HCC. MethodsImmunohistochemistry was used to analyze MAFB expression in HCC and adjacent non-tumor tissues. RT-qPCR and Western blotting measured MAFB levels in HCC cell lines. Specific siRNA was used to knockdown MAFB in HCCLM3 and MHCC97H cells, followed by assays to evaluate cell proliferation, migration, and colony formation. Data from the TCGA database and online tools TIMER and TISDB were used to assess the relationship between MAFB and immune responses. A prognostic model based on MAFB-related immune genes was established, and drug sensitivity analysis was performed. ResultsMAFB was significantly overexpressed in HCC tissues. Knockdown of MAFB in HCC cell lines reduced their proliferation and migration abilities. The risk model based on MAFB-related immune genes effectively predicted patient prognosis, supported by ROC curves. Gene set enrichment analysis indicated that MAFB is involved in immune-related pathways. Several drugs were identified as potentially sensitive to MAFB expression levels. ConclusionMAFB plays a significant role in HCC development and immune regulation. The prognostic model combining MAFB-related immune genes provides valuable insights for predicting patient outcomes and identifying potential therapeutic targets.

Persistent effects of di-n-butyl phthalate on liver transcriptome: impaired energy and lipid metabolic pathways

The environmental contaminant dibutyl phthalate (DBP) is reported to be hepatotoxic, but the underlying molecular pathways and pathological processes remain unclear. Here we used RNA-sequencing to characterize persistent hepatic transcriptional effects one week after the conclusion of five weeks oral exposure to 10 mg/kg/day or 100 mg/kg/day DBP in male mice. The exploratory transcriptome analysis demonstrated five differentially expressed genes (DEGs) in the 10 mg/kg/day group and thirteen in the 100 mg/kg/day group. Gene Set Enrichment Analysis (GSEA), which identifies affected biological pathways rather than focusing solely on individual genes, revealed nine significantly enriched Reactome pathways shared by both DBP treatment groups. Additionally, we found 54 upregulated and one downregulated Reactome pathways in the 10 mg/kg/day DBP group, and 29 upregulated and 13 downregulated pathways in the 100 mg/kg/day DBP group. According to the DEGs and the GSEA findings DBP exposure disrupts several key biological processes, including protein translation, protein folding, apoptosis, hedgehog signaling, degradation of extracellular matrix and alterations in the energy/lipid metabolism. Subsequent liver tissue analysis corroborated these findings, showing that DBP exposure induced tissue disorganization, oxidative stress, lipid accumulation, increased TNF-α, ATP and glucokinase levels. In addition, several proteins central for the metabolic system were affected, mostly in a dose-response pattern. Taken together the results show that DBP can cause hepatic stress and damage and suggest a potential role for DBP in the development of non-alcoholic fat liver disease, the most prevalent liver disease worldwide.

Multiomics Reveals Biological Mechanisms Linking Macroscale Structural Covariance Network Dysfunction With Neuropsychiatric Symptoms Across the Alzheimer’s Disease Continuum

BackgroundThe highly heterogeneity of neuropsychiatric symptoms (NPSs) hinder further exploration of their role in neurobiological mechanisms and Alzheimer’s disease (AD). We aimed to delineate NPS patterns based on brain macroscale connectomics to understand the biological mechanisms of NPSs on the AD continuum. MethodsWe constructed Regional Radiomics Similarity Networks (R2SN) for 550 participants (AD with NPSs [AD-NPS, n=376], AD without NPSs [AD-nNPS, n=111], and normal controls [n=63]) from CIBL study. We identified R2SN connections associated with NPSs, and then cluster distinct subtypes of AD-NPS. An independent dataset (n=189) and internal validation were performed to assess the robustness of the NPS subtypes. Subsequent multiomics analysis were performed to assess the distinct clinical phenotype and biological mechanisms in each NPS subtype. ResultsAD-NPS patients were clustered into severe (n=187), moderate (n=87), and mild NPS (n=102) subtypes, each exhibiting distinct brain network dysfunction patterns. A high level of consistency in clustering NPS was internally and externally validated. Severe and moderate NPSs showed significant cognitive impairment, increased plasma p-Tau181 levels, extensive decreased brain volume and cortical thickness, and accelerated cognitive decline. Gene set enrichment analysis (GSEA) revealed enrichment of differentially expressed genes in ion transport and synaptic transmission with variations for each NPS subtype. Genome-wide association studies (GWAS) analysis defined the specific gene loci for each subtype of AD-NPS (i.e, logical memory), aligning with clinical manifestations and progression patterns. ConclusionsThis study identified and validated three distinct NPS subtypes, underscoring the role of NPSs in neurobiological mechanisms and progression of the AD continuum.

Integrating Bioinformatics and Experimental Validation to Identify Mitochondrial Permeability Transition-Driven Necrosis-Related lncRNAs that can Serve as Prognostic Biomarkers and Therapeutic Targets in Endometrial Carcinoma.

Endometrial carcinoma (EC) is a common malignant tumor in women with high mortality and relapse rates. Mitochondrial permeability transition (MPT)-driven necrosis is a novel form of programmed cell death. The MPT-driven necrosis related lncRNAs (MRLs) involved in EC development remain unclear. We aimed to predict the outcomes of patients with EC by constructing a novel prognostic model based on MRLs and explore potential molecular functions. A risk prognostic model was developed utilizing multi-Cox regression in conjunction with the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm, which was based on MRLs. The predictive efficacy of the model was evaluated through receiver operating characteristic (ROC) curve analysis, as well as nomogram and concordance index (C-index) assessments. Patients were categorized into high- and low-risk groups based on their median risk scores. Notably, the high-risk group exhibited significantly poorer overall survival (OS) outcomes. Gene ontology (GO) and Gene set enrichment analysis (GSEA) demonstrated that Hedgehog and cell cycle pathways were enriched in the high-risk group. Tumor Immune Dysfunction and Exclusion (TIDE) displayed that patients in the high-risk group showed a high likelihood of immune evasion and less effective immunotherapy. A significant disparity in immune function was also observed between two groups. Based on the nine-MRLs, drug sensitivity analysis identified several anticancer drugs with potential efficacy in prognosis. Meanwhile, the results demonstrated that OGFRP1 plays a carcinogenic role by affecting mitochondrial membrane permeability in EC. Therefore, the risk model constructed by nine MRLs could be used to predict the clinical outcomes and therapeutic responses in patients with EC effectively.

An integrative analysis to identify pancancer epigenetic biomarkers

Integrating and analyzing the pancancer data collected from different experiments is crucial for gaining insights into the common mechanisms in the molecular level underlying the development and progression of cancers. Epigenetic study of the pancancer data can provide promising results in biomarker discovery. The genes that are epigenetically dysregulated in different cancers are powerful biomarkers for drug-related studies. This paper identifies the genes having altered expression due to aberrant methylation patterns using differential analysis of TCGA pancancer data of 12 different cancers. We identified a comprehensive set of 115 epigenetic biomarker genes out of which 106 genes having pancancer properties. The correlation analysis, gene set enrichment, protein-protein interaction analysis, pancancer characteristics analysis, and diagnostic modeling were performed on these biomarkers to illustrate the power of this signature and found to be important in different molecular operations related to cancer. An accuracy of 97.56% was obtained on TCGA pancancer gene expression dataset for predicting the binary class tumor or normal. The source code and dataset of this work are available at https://github.com/panchamisuneeth/EpiPanCan.git.

Cancer cell-specific PD-L1 expression is a predictor of poor outcome in patients with locally advanced oral cavity squamous cell carcinoma

BackgroundLocally advanced oral cavity squamous cell carcinoma (OCSCC) presents a significant clinical challenge despite being partially responsive to standard treatment modalities. This study investigates the prognostic implications of programmed death-ligand...

The influence of the NRG1/ERBB4 signaling pathway on pulmonary artery endothelial cells.

This study aimed to examine the influence of the Neuregulin-1 (NRG1)/ERBB4 signaling pathway on the function of human pulmonary artery endothelial cells (HPAECs) and investigate the underlying mechanisms. Enzyme-linked immunosorbent assay indicated that ERBB4 levels in the serum of patients with pulmonary embolism (PE) were significantly higher than those of healthy controls (p < 0.05). In cellular studies, thrombin stimulation for 6 h led to a significant decrease in cell viability and overexpression of ERBB4 compared to control (p < 0.05). In the NRG1 group, apoptosis of HPAECs was reduced (p < 0.05), accompanied by a decrease in ERBB4 expression and an increase in p-ERBB4, phosphorylated serine/threonine kinase proteins (Akt) (p-Akt), and p-phosphoinositide 3-kinase (PI3K) expression (p < 0.05). In the AG1478 group, there was a significant increase in HPAEC apoptosis and a significant decrease in p-ERBB4 and ERBB4 expression compared to the Con group (p < 0.05). In the AG1478 + NRG1 group, there was an increase in the apoptosis rate and a significant decrease in the expression of p-ERBB4, ERBB4, p-Akt, and phosphorylated PI3K compared to the NRG1 group (p < 0.05). In animal studies, the PE group showed an increase in the expression of ERBB4 and p-ERBB4 compared to the Con group (p < 0.05). NRG1 treatment led to a significant reduction in embolism severity with decreased ERBB4 expression and increased p-ERBB4 expression (p < 0.05). Gene set enrichment analysis identified five pathways that were significantly associated with high ERBB4 expression, including CHOLESTEROL HOMEOSTASIS, OXIDATIVE PHOSPHORYLATION, and FATTY ACID METABOLISM (p < 0.05). Therefore, NRG1 inhibits apoptosis of HPAECs, accompanied by a decrease in ERBB4 and an increase in p-ERBB4. NRG1 inhibition in HPAECs apoptosis can be partially reversed by inhibiting ERBB4 expression with AG1478. ERBB4 has the potential to be a novel biological marker of PE.

Tailoring Escalation Adjuvant Therapy for Early-Stage Triple-Negative Breast Cancer in the CBCSG010 Clinical Trial Biomarker Analysis.

Triple-negative breast cancer (TNBC) is a highly heterogeneous disease. The CBCSG010 trial is a prospective and multicenter phase III clinical trial confirming that adding adjuvant capecitabine significantly improved the 5-year disease-free survival (DFS) rate in patients with TNBC by 5.9%. In this study, we attempted to identify the specific population that benefited from adjuvant therapy. In this retrospective exploratory analysis, we performed RNA sequencing of tumor tissues from patients with TNBC in the CBCSG010 clinical trial. A single-sample gene set enrichment analysis algorithm and survival analysis were performed to characterize the intrinsic molecular features of the TNBC microenvironment and assess the associations between immune-related gene expression levels or immune cell counts with capecitabine treatment efficacy. Additionally, we performed immunohistochemical staining of 2 markers, PD-L1 and CD8, and hematoxylin-eosin staining of stromal tumor-infiltrating lymphocytes (sTILs) on formalin-fixed, paraffin-embedded specimens to validate findings from bioinformatics analyses. We found that patients with TNBC with high immune-infiltration treated with capecitabine were more likely to have a better prognosis. We used a cutoff of ≥25 combined positive score (CPS) of PD-L1, ≥10% positive sTILs, and ≥10% positive cells of CD8 to define the "immune-hot" patients. Among immune-hot patients, Kaplan-Meier curves showed that 5-year DFS rates were 96.9% and 79.4% in the capecitabine and control groups, respectively (hazard ratio, 0.13; 95% CI, 0.03-0.52; P=.049 in favor of capecitabine). In the capecitabine group, the 5-year DFS rate was higher for immune-hot patients than for immune-cold patients (96.9% vs 76.4%; hazard ratio, 0.11; 95% CI, 0.04-0.29; P=.028). Our study suggested that immune-hot patients with TNBC are more likely to benefit from adjuvant capecitabine, and that combining immunotherapy with chemotherapy may be expected to be more effective in immune-hot patients.

Identification and validation of diagnostic biomarkers and immune infiltration in dilated cardiomyopathies with heart failure and construction of diagnostic model

Dilated cardiomyopathy (DCM) is characterized by immune cell infiltration and can readily progress to heart failure (HF). In the study, differential expression analysis, enrichment analysis, and protein–protein interaction (PPI) network analysis were performed on DCM with HF-related datasets. The CytoHubba was used to identify hub genes. Diagnostic biomarkers were obtained by validating their expression and diagnostic value in another external dataset, and a diagnostic model was constructed. Finally, single-sample gene set enrichment analysis (ssGSEA) was used to predict immune cell infiltration in cardiac samples. The associations between diagnostic biomarkers and immune cells were investigated. The NetworkAnalyst and miRDB databases were used to predict transcription factors and microRNAs, followed by establishing regulatory networks. The DSigDB database was used to predict drug candidates. Subsequently, a mouse model of DCM with HF was used to validate the expression levels of these genes. The present study revealed that differentially expressed genes were enriched in the extracellular matrix organization, cardiac muscle hypertrophy, and other immune-related biological processes. OMD and THBS4 were finally identified, and the nomogram has satisfactory prediction and strong calibration ability. In addition, the two diagnostic biomarkers exhibited significant associations with multiple immune infiltrating cells. Finally, two TFs, 65 microRNAs, and 10 drug candidates were obtained. In animal experiments, two diagnostic biomarkers showed expression trends consistent with the results of bioinformatic analysis. OMD and THBS4 have been identified as hub immune-related diagnostic biomarkers for DCM with HF. Our research provides novel insights into the diagnosis and treatment of the disease.

Elongation factor 1A1 inhibition elicits changes in lipid droplet size, the bulk transcriptome, and cell type-associated gene expression in MASLD mouse liver.

Eukaryotic elongation factor 1A1 (EEF1A1), originally identified for its role in protein synthesis, has additional functions in diverse cellular processes. Of note, we previously discovered a role for EEF1A1 in hepatocyte lipotoxicity. We also demonstrated that a 2-wk intervention with the EEF1A1 inhibitor didemnin B (DB) (50 µg/kg) decreased liver steatosis in a mouse model of obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) [129S6/SvEvTac mice fed Western diet (42% fat) for 26 wk]. Here, we further characterized the hepatic changes occurring in these mice by assessing lipid droplet (LD) size, bulk differential expression, and cell type-associated alterations in gene expression. Consistent with the previously demonstrated decrease in hepatic steatosis, we observed decreased median LD size in response to DB. Bulk RNA sequencing (RNA-Seq) followed by gene set enrichment analysis revealed alterations in pathways related to energy metabolism and proteostasis in DB-treated mouse livers. Deconvolution of bulk data identified decreased cell type association scores for cholangiocytes, mononuclear phagocytes, and mesenchymal cells in response to DB. Overrepresentation analyses of bulk data using cell type marker gene sets further identified hepatocytes and cholangiocytes as the primary contributors to bulk differential expression in response to DB. Thus, we show that chemical inhibition of EEF1A1 decreases hepatic LD size and decreases gene expression signatures associated with several liver cell types implicated in MASLD progression. Furthermore, changes in hepatic gene expression were primarily attributable to hepatocytes and cholangiocytes. This work demonstrates that EEF1A1 inhibition may be a viable strategy to target aspects of liver biology implicated in MASLD progression.NEW & NOTEWORTHY Chemical inhibition of EEF1A1 decreases hepatic lipid droplet size and decreases gene expression signatures associated with liver cell types that contribute to MASLD progression. Furthermore, changes in hepatic gene expression are primarily attributable to hepatocytes and cholangiocytes. This work highlights the therapeutic potential of targeting EEF1A1 in the setting of MASLD, and the utility of RNA-Seq deconvolution to reveal valuable information about tissue cell type composition and cell type-associated gene expression from bulk RNA-Seq data.

Sex-Stratified Genome-Wide Association Study in the Spanish Population Identifies a Novel Locus for Lacunar Stroke.

Ischemic stroke (IS) represents a significant health burden globally, necessitating a better understanding of its genetic underpinnings to improve prevention and treatment strategies. Despite advances in IS genetics, studies focusing on the Spanish population and sex-stratified analyses are lacking. A case-control genome-wide association study was conducted with 9081 individuals (3493 IS cases and 5588 healthy controls). IS subtypes using Trial of ORG 10172 in Acute Stroke Treatment criteria were explored in a sex-stratified approach. Replication efforts involved the MEGASTROKE, GIGASTROKE, and the UK Biobank international cohorts. Post-genome-wide association study analysis included: in silico proteomic analysis, gene-based analysis, quantitative trait loci annotation, transcriptome-wide association analysis, and bioinformatic analysis using chromatin accessibility data. Identified as associated with IS and its subtypes were 4 significant and independent loci. Replication confirmed 5p15.2 as a new locus associated with small-vessel occlusion stroke, with rs59970332-T as the lead variant (beta [SE], 0.13 [0.02]; P=4.34×10-8). Functional analyses revealed CTNND2 given proximity and its implication in pathways involved in vascular integrity and angiogenesis. Integration of Hi-C data identified additional potentially modulated genes, and in silico proteomic analysis suggested a distinctive blood proteome profile associated with the lead variant. Gene-set enrichment analyses highlighted pathways consistent with small-vessel disease pathogenesis. Gene-based associations with known stroke-related genes such as F2 and FGG were also observed, reinforcing the relevance of our findings. We found CTNND2 as a potential key molecule in small-vessel occlusion stroke risk, and predominantly in males. This study sheds light on the genetic architecture of IS in the Spanish population, providing novel insights into sex-specific associations and potential molecular mechanisms. Further research, including replication in larger cohorts, is essential for a comprehensive understanding of these findings and for their translation to clinical practice.

Developing new drugs for adult T-cell leukemia/lymphoma by targeting hypoxia: insights from toxicity of MS-275 and its analogs

The low survival rate of adult T-cell leukemia/lymphoma (ATL) underscores the critical need for innovative therapeutic agents. While the pharmacokinetics of HDACis have been documented in several hematological neoplasms, there is a notable gap in research regarding their activity against ATL. Given that hypoxia can induce unpredictable effects on lymphoma cells, this study aimed to evaluate the toxic effects of MS-275 and novel analogs on ATL cells in hypoxic condition for the first time. Protein-protein interaction and gene set enrichment analyses were performed, the expression of HIF1A and downstream targets were assessed, and molecular docking was conducted on MS-275 and novel analogs with HIF-1α. For in vitro studies, at first benzamide analogs of MS-275 were synthesized and then, viability of MT-2 cells was evaluated in hypoxic condition. Enrichment analyses confirmed the involvement of hub genes in HIF-1 signaling pathway and volcano plot revealed over expression of HIF1A, GAL3ST1 and CD274. Molecular docking indicated favorable interaction between MS-275 and analogs with HIF-1α PAS-B domain. Results of alamarBlue assay demonstrated that MS-275 and analogs significantly (p < 0.001) reduced viability of MT-2 cells in hypoxic condition. Findings of the present study hold promise for developing new drugs targeting hypoxia-induced changes in ATL.

Peripheral blood transcriptome analysis in sepsis-associated acute kidney injury

Sepsis-associated acute kidney injury (S-AKI) presents significant clinical challenges, necessitating deeper insights into its molecular mechanisms. We conducted a comprehensive analysis—including Principal Component Analysis (PCA), differential gene expression, KEGG pathway enrichment, and Gene Set Enrichment Analysis (GSEA)—to elucidate the underlying pathways involved in S-AKI. PCA revealed distinct clustering between S-AKI patients and controls, with differential gene expression identifying 1,759 significant genes (912 upregulated, 847 downregulated). Notable upregulated genes included CYP19A1 and LY6G6F, while downregulated genes encompassed LRP1B and SIGLEC8. KEGG analysis highlighted pathways related to adaptive immune responses and infection, such as “Th1 and Th2 cell differentiation" and "Primary immunodeficiency.” GSEA pinpointed "Neutrophil extracellular trap formation" as the most significantly enriched pathway, underscoring neutrophil-mediated responses in S-AKI. Our findings suggest potential molecular targets for diagnosis and therapeutic intervention, providing a foundation for future research and improved clinical outcomes.

Prognostic value of PLEKHA4 and its correlation with tumor-infiltrating immune cells in breast cancer: a comprehensive study based on bioinformatics and clinical analysis validation.

Pleckstrin homology containing family A, number 4 (PLEKHA4) plays a role in a number of biological processes in human cells, including cell polarization, growth, and proliferation. However, the relationship between PLEKHA4 expression and survival in breast cancer (BC) remains unclear. The aim of this study is to investigate the potential of PLEKHA4 as a prognostic indicator in BC. We obtained gene expression profiles of BC and normal tissues from the Tumor Immune Estimation Resource (TIMER), UALCAN web. Immunohistochemistry (IHC) staining was performed to investigate the protein expression and prognostic value of PLEKHA4 in BC patients. The prognostic value was analyzed using Kaplan-Meier curve analysis and Cox regression analysis in R software after downloading The Cancer Genome Atlas (TCGA) databases. The correlations between PLEKHA4 and tumor immune infiltrates were investigated via gene set variation analysis (GSVA). Signaling pathways related to PLEKHA4 expression were identified by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Both bioinformatics and IHC results showed that PLEKHA4 was expressed at low levels in BC tissues compared with the adjacent tissues. Furthermore, the expression of PLEKHA4 was negatively correlated with ages (χ2=6.394, P=0.01), molecular subtype (χ2=15.606, P=0.001), lymph node metastasis (χ2=13.753, P=0.004), tumor-node-metastasis (TNM) stage (χ2=22.616, P<0.001). Kaplan-Meier curves implicated low expression of PLEKHA4 was associated with worse survival of BC patients [hazard ratio (HR) =0.46, P=0.01]. Cox regression models showed that low PLEKHA4 expression could be an independent risk factor for BC (HR =0.911, P=0.006). The results of gene set enrichment analysis (GSEA) showed that cell cycle, Notch signaling pathway, nuclear factor erythroid 2-related factor 2 (NRF2) signaling pathway, and Rho GTPases were highly enriched in the low PLEKHA4 expression group, as identified by GO and KEGG. Additionally, in BC, PLEKHA4 expression displayed a positive correlation with the infiltration of natural killer (NK) cells (P<0.001), CD8+ T cells (P<0.001), B cells (P<0.001), neutrophils (P<0.001), and dendritic cells (DCs) (P<0.001). The findings indicate that PLEKHA4 is an independent prognostic biomarker associated with key signaling pathways and immune infiltration in BC. Targeting PLEKHA4 may contribute to improving immunotherapy for BC.

Identifying High Recurrence Risk in Breast Carcinoma Patients Through Spatial Transcriptomic Analysis.

Comparing gene expression profiles according to recurrence risk using spatially resolved transcriptomic analysis has not been reported. This study aimed to identify distinct genetic features of breast carcinoma associated with a high Oncotype DX Recurrence Score (ORS). Patients were categorized into two groups, ORS-high (ORS-H; two patients) and ORS-non-high (ORS-NH; five patients). We performed digital spatial profiling and bioinformatic analyses to investigate the spatial transcriptomic profiles. Lysozyme (LYZ), complement C1q C chain (C1QC), and complement C1q B chain (C1QB) exhibited the highest fold changes in the stromal compartment of the ORS-H group. Gene ontology enrichment analysis of the ORS-H group revealed significant up-regulation of genes associated with immune response in the stromal compartment, including lymphocyte-mediated immunity, adaptive immune response related to the immunoglobulin superfamily, and leukocyte-mediated immunity. Gene set enrichment analysis showed significant positive enrichment of gene sets associated with interferon (IFN) response and complement pathways in the stromal compartment. This study highlights significant differences in gene expression profiles and spatially resolved transcriptional activities between ORS-H and ORS-NH breast carcinomas. The significant up-regulation of genes and pathways associated with cell-mediated immunity, IFN response, and complement C1q in the stromal compartment of the ORS-H group warrants further evaluation with larger population cohorts.