Epicardial left atrial appendage clipping versus direct oral anticoagulant to reduce stroke risk in non-paroxysmal atrial fibrillation (LAA-CLIP): rationale, design and study protocol for a multicentre randomised controlled trial.

INTRODUCTION: The prevalence of atrial fibrillation (AF) is increasing globally, and stroke prevention is the key to reduce the morbidity and mortality related to AF. Currently, direct oral anticoagulants (DOACs) are the primary options for stroke prevention, while it increases risk of bleeding. Left atrial appendage (LAA) is suspected as a vital source of cerebral emboli and may lead to ischaemic stroke, and thoracoscopic LAA clipping procedure provides an alternative option for stroke prevention in high-risk patients. However, high-quality evidence comparing LAA clipping to DOACs in terms of stroke prevention is lacking. This trial is designed to assess whether the efficacy of thoracoscopic LAA clipping is superior to DOACs for stroke prevention in AF patients at high risk of thrombosis (CHA2DS2-VASc≥2 in men and ≥3 in women)[CHA2DS2-VASc stands for "congestive heart failure, hypertension, age ≥75 (doubled), diabetes, stroke (doubled), vascular disease, age 65 to 74 and sex category (female)"]. METHODS AND ANALYSIS: This is a prospective, multicentre, open-labelled, randomised controlled study. This trial will randomly assign 290 patients with non-paroxysmal AF to thoracoscopic LAA clipping group or DOAC therapy group in a 1:1 randomisation. The primary endpoint is defined as a composite endpoint event consisting of stroke, systemic embolism, all-cause mortality, major bleeding events and clinically relevant non-major bleeding events at 24 months after randomisation. The secondary endpoints consist of the components of the primary composite endpoint, surgery-related adverse events and minor bleeding events. ETHICS AND DISSEMINATION: The central ethics committee at Fuwai Hospital approved the trial entitled "Epicardial left atrial appendage clipping versus direct oral anticoagulant to reduce stroke risk in non-paroxysmal atrial fibrillation (LAA-CLIP trial)". The results of this study will be disseminated through publications in peer-reviewed journals and conference presentations. TRIAL REGISTRATION NUMBER: NCT06021808.

FAM3A reshapes VSMC fate specification in abdominal aortic aneurysm by regulating KLF4 ubiquitination.

Reprogramming of vascular smooth muscle cell (VSMC) differentiation plays an essential role in abdominal aortic aneurysm (AAA). However, the underlying mechanisms are still unclear. We explore the expression of FAM3A, a newly identified metabolic cytokine, and whether and how FAM3A regulates VSMC differentiation in AAA. We discover that FAM3A is decreased in the aortas and plasma in AAA patients and murine models. Overexpression or supplementation of FAM3A significantly attenuate the AAA formation, manifested by maintenance of the well-differentiated VSMC status and inhibition of VSMC transformation toward macrophage-, chondrocyte-, osteogenic-, mesenchymal-, and fibroblast-like cell subpopulations. Importantly, FAM3A induces KLF4 ubiquitination and reduces its phosphorylation and nuclear localization. Here, we report FAM3A as a VSMC fate-shaping regulator in AAA and reveal the underlying mechanism associated with KLF4 ubiquitination and stability, which may lead to the development of strategies based on FAM3A to restore VSMC homeostasis in AAA.

Plasma Lipidomics Analysis Reveals the Potential Role of Lysophosphatidylcholines in Abdominal Aortic Aneurysm Progression and Formation.

Abdominal aortic aneurysm (AAA) is hallmarked by irreversible dilation of the infrarenal aorta. Lipid deposition in the aortic wall and the potential importance of a lipid disorder in AAA etiology highlight the need to explore lipid variation during AAA development. This study aimed to systematically characterize the lipidomics associated with AAA size and progression. Plasma lipids from 106 subjects (36 non-AAA controls and 70 AAA patients) were comprehensively analyzed using untargeted lipidomics. An AAA animal model was established by embedding angiotensin-II pump in ApoE-/- mice for four weeks and blood was collected at 0, 2 and 4 weeks for lipidomic analysis. Using a false-discovery rate (FDR) < 0.05, a group of lysophosphatidylcholines (lysoPCs) were specifically decreased in AAA patients and mice. LysoPCs were principally lower in the AAA patients with larger diameter (diameter > 50 mm) than those with a smaller size (30 mm < diameter < 50 mm), and levels of lysoPCs were also found to be decreased with modelling time and aneurysm formation in AAA mice. Correlation matrices between lipids and clinical characteristics identified that the positive correlation between lysoPCs and HDL-c was reduced and negative correlations between lysoPCs and CAD rate, lysoPCs and hsCRP were converted to positive correlations in AAA compared to control. Weakened positive correlations between plasma lysoPCs and circulating HDL-c in AAA suggested that HDL-lysoPCs may elicit instinctive physiological effects in AAA. This study provides evidence that reduced lysoPCs essentially underlie the pathogenesis of AAA and that lysoPCs are promising biomarkers for AAA development.

Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation.

Glioblastoma (GBM) is the most common primary malignant intracranial tumor with a poor prognosis. Ferroptosis is a newly discovered, iron-dependent, regulated cell death, and recent studies suggest its close correlation to GBM. The transcriptome and clinical data were obtained for patients diagnosed with GBM from TCGA, GEO, and CGGA. Ferroptosis-related genes were identified, and a risk score model was constructed using Lasso regression analyses. Survival was evaluated by univariate or multivariate Cox regressions and Kaplan-Meier analyses, and further analyses were performed between the high- and low-risk groups. There were 45 ferroptosis-related different expressed genes between GBM and normal brain tissues. The prognostic risk score model was based on four favorable genes, CRYAB, ZEB1, ATP5MC3, and NCOA4, and four unfavorable genes, ALOX5, CHAC1, STEAP3, and MT1G. A significant difference in OS between high- and low-risk groups was observed in both the training cohort (p < 0.001) and the validation cohorts (p = 0.029 and 0.037). Enrichment analysis of pathways and immune cells and functioning was conducted between the two risk groups. A novel prognostic model for GBM patients was developed based on eight ferroptosis-related genes, suggesting a potential prediction effect of the risk score model in GBM.

Key ferroptosis-related genes in abdominal aortic aneurysm formation and rupture as determined by combining bioinformatics techniques.

Objectives: Abdominal aortic aneurysm (AAA) is a cardiovascular disease with high mortality and pathogenesis closely related to various cell death types, e.g., autophagy, apoptosis and pyroptosis. However, the association between AAA and ferroptosis is unknown. Methods: GSE57691 and GSE98278 dataset were obtained from the Gene Expression Omnibus database, and a ferroptosis-related gene (FRG) set was downloaded from the FerrDb database. These data were normalized, and ferroptosis-related differentially expressed genes (FDEGs, AAA vs. normal samples) were identified using the limma package in R. FRGs expression was analyzed by Gene Set Expression Analysis (GSEA), and FDEGs were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) pathway enrichment analyses using the clusterProfiler package in R and ClueGO in Cytoscape. Protein-protein interaction networks were assembled using Cytoscape, and crucial FDEGs were identified using CytoHubba. Critical FDEG transcription factors (TFs) were predicted with iRegulon. FDEGs were verified in GSE98278 set, and key FDEGs in AAA (compared with normal samples) and ruptured AAA (RAAA; compared with AAA samples) were identified. Ferroptosis-related immune cell infiltration and correlations with key genes were analyzed by CIBERSORT. Key FEDGs were reverified in Ang II-induced AAA models of ApoE-/- and CD57B/6J mice by immunofluorescence assay. Results: In AAA and normal samples, 40 FDEGs were identified, and the expression of suppressive FRGs was significantly downregulated with GSEA. For FDEGs, the GO terms were response to oxidative stress and cellular response to external stimulus, and the KEGG pathways were the TNF and NOD-like receptor signaling pathways. IL6, ALB, CAV1, PTGS2, NOX4, PRDX6, GPX4, HSPA5, HSPB1, and NCF2 were the most enriched genes in the crucial gene cluster. CEBPG, NFAT5, SOX10, GTF2IRD1, STAT1, and RELA were potential TFs affecting these crucial genes. Ferroptosis-related immune cells involved in AAA formation were CD8+ T, naive CD4+ T, and regulatory T cells (Tregs); M0 and M2 macrophages; and eosinophils. Tregs were also involved in RAAA. GPX4, SLC2A1, and PEBP1 expression was downregulated in both the RAAA and AAA samples. GPX4 and PEBP1 were more important in AAA because they influenced ferroptosis-related immune cell infiltration, and SLC2A1 was more important in RAAA. Conclusions: This is the first study to show that ferroptosis is crucial to AAA/RAAA formation. The TNF and NOD-like signaling pathways and ferroptosis-related immune cell infiltration play key roles in AAA/RAAA. GPX4 is a key ferroptosis-related gene in AAA. Ferroptosis and related genes might be promising targets in the treatment of AAA/RAAA.

Proteomic and Metabolomic Analyses of Right Ventricular Failure due to Pulmonary Arterial Hypertension.

Right ventricular failure (RVF) is the independent and strongest predictor of mortality in pulmonary arterial hypertension (PAH), but, at present, there are no preventive and therapeutic strategies directly targeting the failing right ventricle (RV). The underlying mechanism of RV hypertrophy (RVH) and dysfunction needs to be explored in depth. In this study, we used myocardial proteomics combined with metabolomics to elucidate potential pathophysiological changes of RV remodeling in a monocrotaline (MCT)-induced PAH rat model. The proteins and metabolites extracted from the RV myocardium were identified using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS). The bioinformatic analysis indicated that elevated intracellular Ca2+ concentrations and inflammation may contribute to myocardial proliferation and contraction, which may be beneficial for maintaining the compensated state of the RV. In the RVF stage, ferroptosis, mitochondrial metabolic shift, and insulin resistance are significantly involved. Dysregulated iron homeostasis, glutathione metabolism, and lipid peroxidation related to ferroptosis may contribute to RV decompensation. In conclusion, we depicted a proteomic and metabolomic profile of the RV myocardium during the progression of MCT-induced PAH, and also provided the insights for potential therapeutic targets facilitating the retardation or reversal of RV dysfunction in PAH.

[Influencing Factors of Diabetes Mellitus on Abdominal Aortic Aneurysm Diameter and Biochemical Parameters].

Objective To investigate the effect of diabetes mellitus and hypoglycemic treatment on the diameter and biochemical parameters of abdominal aortic aneurysm (AAA).Methods A case-control study was conducted to retrospectively analyze the clinical data of AAA patients in Peking Union Medical College Hospital from 2015 to 2021.The AAA patients were classified into a group with diabetes mellitus (n=53) and a group without diabetes mellitus (n=104),and the biochemical parameters and aneurysm diameter were compared between the two groups.According to the aneurysm diameter,they were further classified into a small and medium abdominal aortic aneurysm group (SMAAA group,n=85) and a large abdominal aortic aneurysm group (LAAA group,n=72),and the biochemical parameters between the two groups were compared.Results Among the 157 cases with AAA,the incidence of hypertension in the group without diabetes mellitus was higher than that in the group with diabetes mellitus (χ2=8.147,P=0.004).The aneurysm diameter,homocysteine,and D-dimer in the group with diabetes mellitus were lower than those in the group without diabetes mellitus (t=-3.148,P=0.002;U=-1.503,P=0.013;U=-3.002,P=0.003).The aneurysm diameter and D-dimer in the SMAAA group were lower than those in the LAAA group (t=-14.406,P<0.001;U=-0.388,P<0.001).Multivariate Logistic regression analysis showed that diabetes mellitus (OR=0.477,95%CI=0.238-0.955,P=0.037) and hypoglycemic treatment (OR=0.477,95%CI=0.238-0.955,P=0.037) did not increase the risk of AAA enlargement.Conclusion Diabetes mellitus and hypoglycemic therapy may affect the growth rate of AAA by lowering D-dimer and inflammatory indexes.

Fractal Geometry Illustrated Left Atrial Appendage Morphology That Predicted Thrombosis and Stroke in Patients With Atrial Fibrillation.

Background: This study aims to correlate the morphological complexity of left atrial appendage (LAA) with thrombosis and stroke in patients with atrial fibrillation (AF). Methods: The training cohort consisted of 46 patients with AF (age 55.8 ± 7.2 years, 73.9% men) who were referred for radiofrequency catheter ablation. An independent validation cohort consisting of 443 patients with AF was enrolled for further verification. All patients in the training cohort underwent both transesophageal echocardiography (TEE) and enhanced computed tomography (CT). Fractal dimension (FD) analysis was performed to evaluate the morphological complexity of LAAs quantitatively. Clinical and imaging manifestations, FD of LAAs, and diagnostic accuracy were investigated and compared between patients with AF in both training and validation cohorts. Results: In the training cohort, LAAs (n = 22) with thrombi had significantly higher FD than those without thrombi (n = 24) h 0.44 ± 0.07 vs. 2.35 ± 0.11, p = 0.003). Receiver-operating characteristic (ROC) analysis suggested that the diagnostic accuracy of FD combined with a CHA2DS2-VaSc score was significantly higher than that of the CHA2DS2-VaSc score alone in low- to moderate-risk patients with AF (area under the curve 0.8479 vs. 0.6958, p = 0.009). The results were also validated in an independent external validation cohort and demonstrated that increased FD was associated with stroke. Hemodynamic analysis revealed that LAAs with thrombi and high FD were prone to blood stasis and lower blood flow rate. Conclusion: LAA morphological complexity is closely associated with thrombosis and stroke in patients with paroxysmal AF. A new risk assessment system combining CHA2DS2-VaSc score and FD has a higher diagnostic accuracy in predicting LAA thrombosis.

Different gene co-expression patterns of aortic intima-media and adventitia in thoracic aortic aneurysm.

BACKGROUND: Due to permanent aortic dilation, thoracic aortic aneurysm (TAA) is a life-threatening disease. Once ruptured, TAA has a high lethality and disability rate. Although studies have focused on transcriptomic alterations in TAA, more detailed analysis is still lacking, especially the different aortic intima-media and adventitia roles. This study aimed to identify the different co-expression patterns between the aortic intima-media and the adventitia underlying the aortic dilation. METHODS: We analyzed the gene expression profiles obtained from Gene Expression Omnibus (GEO, GSE26155) database. With a false discovery rate (FDR) < 0.05 and |log2FC| ≥ 1, 56 and 33 differential genes in the intima-media and adventitia, respectively, between the non-dilated and dilated status. Gene ontology (GO) and gene set enrichment analysis revealed that degranulation and activation of neutrophils play an essential role in the intima-media of dilated aortas. Through weighted gene co-expression network analysis (WGCNA), we identified essential co-expressed modules and hub genes to explore the biological functions of the dysregulated genes. RESULTS: Functional pathway analysis suggested that lipid metabolism, C-C motif chemokine pathways were significantly enriched in the adventitia, whereas ribosome proteins and related mRNA translation pathways were closely related to intima and media. Furthermore, the ssGSEA analysis indicated that macrophages, helper T cells, and neutrophils were higher in the intima-media of the dilated thoracic aorta. Finally, we validated the critical findings of the study with the murine model of TAA. CONCLUSION: This study identified and verified hub genes and pathways in aortic intima-media and adventitia prominently associated with aortic dilation, providing practical understanding in the perspective of searching for new molecular targets.

Prognostic Prediction Model for Glioblastoma: A Metabolic Gene Signature and Independent External Validation.

Background: Glioblastoma (GBM) is the most common primary malignant intracranial tumor and closely related to metabolic alteration. However, few accepted prognostic models are currently available, especially models based on metabolic genes. Methods: The transcriptome data were obtained for all of the patients diagnosed with GBM from the Gene Expression Omnibus (GEO) (training cohort, n=369) and The Cancer Genome Atlas (TCGA) (validation cohort, n=152) with the following variables: age at diagnosis, sex, follow-up and overall survival (OS). Metabolic genes according to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were contracted, and a Lasso regression model was constructed. Survival was assessed by univariate or multivariate Cox proportional hazards regression and Kaplan-Meier analysis, and an independent external validation was also conducted to examine the model. Results: There were 341 metabolic genes showed significant differences between normal brain and GBM tissues in both the training and validation cohorts, among which 56 genes were dramatically correlated to the OS of patients. Lasso regression revealed that the metabolic prognostic model was composed of 18 genes, including COX10, COMT, and GPX2 with protective effects, as well as OCRL and RRM2 with unfavorable effects. Patients classified as high-risk by the risk score from this model had markedly shorter OS than low-risk patients (P<0.0001), and this significant result was also observed in independent external validation (P<0.001). Conclusions: The prognosis of GBM was dramatically related to metabolic pathways, and our metabolic prognostic model had high accuracy and application value in predicting the OS of GBM patients.

The potential role of chemotaxis and the complement system in the formation and progression of thoracic aortic aneurysms inferred from the weighted gene coexpression network analysis.

BACKGROUND: Thoracic aortic aneurysm (TAA) can be life-threatening due to the progressive weakening and dilatation of the aortic wall. Once the aortic wall has ruptured, no effective pharmaceutical therapies are available. However, studies on TAA at the gene expression level are limited. Our study aimed to identify the driver genes and critical pathways of TAA through gene coexpression networks. METHODS: We analyzed the genetic data of TAA patients from a public database by weighted gene coexpression network analysis (WGCNA). Modules with clinical significance were identified, and the differentially expressed genes (DEGs) were intersected with the genes in these modules. Gene Ontology and pathway enrichment analyses were performed. Finally, hub genes that might be driving factors of TAA were identified. Furthermore, we evaluated the diagnostic accuracy of these genes and analyzed the composition of immune cells using the CIBERSORT algorithm. RESULTS: We identified 256 DEGs and two modules with clinical significance. The immune response, including leukocyte adhesion, mononuclear cell proliferation and T cell activation, was identified by functional enrichment analysis. CX3CR1, C3, and C3AR1 were the top 3 hub genes in the module correlated with TAA, and the areas under the curve (AUCs) by receiver operating characteristic (ROC) analysis of all the hub genes exceeded 0.7. Finally, we found that the proportions of infiltrating immune cells in TAA and normal tissues were different, especially in terms of macrophages and natural killer (NK) cells. CONCLUSION: Chemotaxis and the complement system were identified as crucial pathways in TAA, and macrophages with interactive immune cells may regulate this pathological process.

Oxidation of Ryanodine Receptors Promotes Ca2+ Leakage and Contributes to Right Ventricular Dysfunction in Pulmonary Hypertension.

Right ventricular (RV) failure is a major cause of death in patients with pulmonary arterial hypertension, and the mechanism of RV failure remains unclear. While the malfunction of RyR2 (ryanodine receptor type 2) on sarcoplasmic reticulum (SR) and aberrant Ca2+ cycling in cardiomyocytes have been recognized in some cardiovascular diseases, their roles in RV failure secondary to pulmonary arterial hypertension require further investigation. In a monocrotaline-induced rat model of pulmonary arterial hypertension, the RV remodeling process was divided into normal, compensated, and decompensated stages according to the hemodynamic and morphological parameters. In both compensated and decompensated stages, significant diastolic SR Ca2+ leakage was detected along with reduced intracellular Ca2+ transient amplitude and SR Ca2+ contents in RV myocytes. RyR2 protein levels decreased progressively during the process, and the thiol oxidation proportions of RyR2 were higher in compensated and decompensated stages than in normal stage. Inhibition of RyR2 oxidation by dithiothreitol or repairing RyR2 directly by dantrolene could restore Ca2+ homeostasis in RV myocytes. Daily intraperitoneal injection of dantrolene delayed decompensation progression and significantly improved the survival rate of pulmonary hypertension rats in decompensated stage (79.3% versus 55.9%; P=0.026). Our findings suggest that diastolic SR Ca2+ leakage via oxidized RyR2 facilitates the development of RV failure. Dantrolene can inhibit diastolic SR Ca2+ leakage in RV cardiomyocytes, delay right cardiac dysfunction, and improve the survival of rats with pulmonary arterial hypertension.

Patterns of immune infiltration in stable and raptured abdominal aortic aneurysms: A gene-expression-based retrospective study.

BACKGROUND: Abdominal aortic aneurysm (AAA) is a disease characterized by weakening arterial wall and permanent expansion with high mortality once rupture, which was involved with immune system activation. However, owing to technical difficulties, previous research has limited the impact of one or limited immune cells on AAA. METHODS: We analyzed the composition of immune cells using the CIBERSORT algorithm through transcriptome sequencing data from patients with stable (eAAA) and ruptured aneurysms (rAAA). The whole transcriptome sequencing data, including 17 patients with ruptured AAA and 31 patients with stable AAA were downloaded from Gene Expression Omnibus (GEO, GSE98278). After normalizing and data processing, five rAAA and seventeen eAAA patients entered the follow-up analysis. We performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to identify several pathways that were significantly enriched in rAAA compared to eAAA tissues. RESULTS: We demonstrated that the compositions of infiltrative immune cell in eAAA and rAAA were different. Naïve B cells, both resting and activated CD4+ memory T cells were found significantly higher in ruptured AAA, while memory B cells and activated mast cells were much less in ruptured AAA than that in stable AAA. Besides, PTX3 was significantly highly expressed in rAAA, which might be associated with the complement system and polarization of macrophages. Finally, differentially expressed genes and the related immune cells were mapped in a network to reveal the relationship between gene expression and infiltrative immune cells. CONCLUSION: We identified the infiltrated immune cell profile of eAAA and rAAA patients, which might be the potential target of AAA treatment.

Takayasu Arteritis With Coronary Artery Involvement: Differences Between Pediatric and Adult Patients.

BACKGROUND: The clinical features, angiographic findings, and outcomes have not been compared between pediatric and adult patients with Takayasu arteritis (TA) with coronary involvement. METHODS: Of 1056 consecutive patients with TA hospitalized and followed from 1990 to 2018 in our hospital, 38 patients including 9 children and 29 adults (mean age at diagnosis of 14.3 ± 3.3 years and 38.6 ± 12.0 years, respectively) were diagnosed with coronary artery involvement by imaging. Clinical manifestations, coronary lesion characteristics, and outcomes were compared between the pediatric and adult patients. RESULTS: Compared with adults, pediatric patients with TA with coronary involvement had a significantly shorter disease duration (median, 2 months; interquartile range [IQR], 1-38 vs median, 48 months [IQR, 18-90], P = 0.019) and higher disease activity score (median, 3 [IQR, 2-4] vs median, 2 [IQR, 1-3], P = 0.013) on the first positive coronary assessment. Although all recruited patients except 1 child had coronary stenosis, coronary aneurysmal dilation was found in 6 patients and was more frequent in children than in adults (55.6% vs 3.4%, P = 0.001). Moreover, the children with coronary aneurysmal dilation had a higher incidence of dilation in large vessels than children without aneurysmal dilation (80.0% vs 0%, P = 0.048). CONCLUSION: Pediatric patients with TA with coronary involvement had higher inflammation status and were more prone to coronary aneurysmal dilation on the first positive coronary assessment compared with adults. Dilation in the aorta and its major branches might be an indicator of coronary aneurysmal dilation in these pediatric patients.

Progress and Prospects of Recurrent Glioma: A Recent Scientometric Analysis of the Web of Science in 2019.

BACKGROUND: Most patients with glioma experience recurrence and have a poor prognosis. Scientometric analysis is effective and widely used to summarize the most influential studies within a certain field. We present the first scientometric analysis of recurrent glioma. METHODS: We conducted a generalized search for articles on recurrent glioma in the Web of Science database and evaluated the top 100 most cited articles among 4651 articles. RESULTS: The number of citations from the top 100 cited articles on recurrent glioma ranged from 149 to 1471; most of these articles were published in oncology-specific journals (66) and were submitted by institutions in the United States (n = 67). The top-cited articles consisted of 98 articles and 2 literature reviews. Articles were classified into 4 major categories based on subject matter: 82 pertained to treatment, 6 pertained to genetic mechanisms, 7 pertained to diagnosis, and 5 pertained to prognosis. Treatment-related articles were subdivided into the following 7 categories: targeted therapy (n = 21), chemotherapy (n = 20), immunotherapy (n = 12), combination therapy (n = 12), radiotherapy (n = 9), surgical resection (n = 6), a new therapy (physiotherapy) (n = 1), and treatment summary (n = 1). CONCLUSIONS: The results of the analysis indicated that the core problem is the treatment of recurrent glioma. Although the number of citations on targeted therapy and combination therapy has increased in recent years, the proportion of randomized controlled trials, basic medical research, literature reviews, and meta-analyses is relatively low; thus, there is an urgent need to conduct these types of studies on recurrent glioma.

Identification of crucial genes in abdominal aortic aneurysm by WGCNA.

BACKGROUND: Abdominal aortic aneurysm (AAA) is the full thickness dilation of the abdominal aorta. However, few effective medical therapies are available. Thus, elucidating the molecular mechanism of AAA pathogenesis and exploring the potential molecular target of medical therapies for AAA is of vital importance. METHODS: Three expression datasets (GSE7084, GSE47472 and GSE57691) were downloaded from the Gene Expression Omnibus (GEO). These datasets were merged and then normalized using the "sva" R package. Differential expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were conducted. We compared the co-expression patterns between AAA and normal conditions, and hub genes of each functional module were identified. DEGs were mapped to co-expression network under AAA condition and a DEG co-expression network was generated. Crucial genes were identified using molecular complex detection (MCODE) (a plugin in Cytoscape). RESULTS: In our study, 6 and 10 gene modules were detected for the AAA and normal conditions, respectively, while 143 DEGs were screened. Compared to the normal condition, genes associated with immune response, inflammation and muscle contraction were clustered in three gene modules respectively under the AAA condition; the hub genes of the three modules were MAP4K1, NFIB and HPK1, respectively. A DEG co-expression network with 102 nodes and 303 edges was identified, and a hub gene cluster with 10 genes from the DEG co-expression network was detected. YIPF6, RABGAP1, ANKRD6, GPD1L, PGRMC2, HIGD1A, GMDS, MGP, SLC25A4 and FAM129A were in the cluster. The expression levels of these 10 genes showed potential diagnostic value. CONCLUSION: Based on WGCNA, we detected 6 modules under the AAA condition and 10 modules in the normal condition. Hub genes of each module and hub gene clusters of the DEG co-expression network were identified. These genes may act as potential targets for medical therapy and diagnostic biomarkers. Further studies are needed to elucidate the detailed biological function of these genes in the pathogenesis of AAA.