Clinical outcomes and predictors of bleomycin polidocanol foam sclerotherapy treatment response in venous malformations.

OBJECTIVE: To evaluate the safety and efficacy of bleomycin polidocanol foam (BPF) sclerotherapy for venous malformations (VMs) and analyze the associated clinical outcomes and predictors. METHODS: We retrospectively assessed BPF sclerotherapy outcomes in 138 patients with VMs. We analyzed pain levels, lesion volume reduction, and subjective perception of response. Logistic regression analysis was performed to identify potential predictors of treatment outcome. Additionally, we carefully monitored and recorded complications. RESULTS: There was a notable average reduction in lesion volume by 78.50% ± 15.71%. The pain numerical rating scale (NRS) score decreased from 4.17 ± 2.63 prior to treatment to 1.05 ± 1.54 afterward, and 70.3% of the patients experienced effective relief after a single BPF treatment. Multivariate analysis revealed that a high baseline NRS (odds ratio [OR]: 4.026) and elevated activated partial thromboplastin time (APTT, OR: 1.200) were positive predictors of pain reduction. Additionally, a high baseline NRS score (OR: 1.992) and elevated thrombocytocrit (PCT, OR: 2.543) were positive predictors of incomplete postoperative pain relief. Minor complications occurred in 31 (22.46%) patients. CONCLUSION: BPF sclerotherapy is safe and effective for VMs, resulting in significant reduction in lesion volume, improved symptoms, and minimal complications. APTT and PCT levels are important predictors of pain outcomes following BPF treatment.

Dynamic polarization fusion network (DPFN) for imaging in different scattering systems.

Deep learning has broad applications in imaging through scattering media. Polarization, as a distinctive characteristic of light, exhibits superior stability compared to light intensity within scattering media. Consequently, the de-scattering network trained using polarization is expected to achieve enhanced performance and generalization. For getting optimal outcomes in diverse scattering conditions, it makes sense to train expert networks tailored for each corresponding condition. Nonetheless, it is often unfeasible to acquire the corresponding data for every possible condition. And, due to the uniqueness of polarization, different polarization information representation methods have different sensitivity to different environments. As another of the most direct approaches, a generalist network can be trained with a range of polarization data from various scattering situations, however, it requires a larger network to capture the diversity of the data and a larger training set to prevent overfitting. Here, in order to achieve flexible adaptation to diverse environmental conditions and facilitate the selection of optimal polarization characteristics, we introduce a dynamic learning framework. This framework dynamically adjusts the weights assigned to different polarization components, thus effectively accommodating a wide range of scattering conditions. The proposed architecture incorporates a Gating Network (GTN) that efficiently integrates multiple polarization features and dynamically determines the suitable polarization information for various scenarios. Experimental result demonstrates that the network exhibits robust generalization capabilities across continuous scattering conditions.

Comparison of bleomycin polidocanol foam vs electrochemotherapy combined with polidocanol foam for treatment of venous malformations.

OBJECTIVE: This study aims to investigate the difference in safety and efficacy between two treatments for venous malformations (VMs), electrochemotherapy combined with polidocanol foam (ECP) and bleomycin polidocanol foam (BPF), providing alternative therapies for VMs. METHODS: We conducted a retrospective review of 152 patients with VMs treated with ECP and BPF. Pre- and post-treatment magnetic resonance images (MRIs) were collected, and clinical follow-up assessments were performed. Imaging results were used to calculate lesion volume changes. Clinical outcomes included changes in pain and improvements in perceived swelling. Patients were followed up at 1 week and 6 months after surgery. All emerging complications were documented in detail. RESULTS: Of the 152 patients, 87 (57.2%) received BPF treatment, and 65 (42.8%) received ECP treatment. The most common location of VMs was the lower extremities (92/152; 60.2%), and the most common symptom was pain (108/152; 71.1%). Forty-three patients had previously undergone therapy in the BPF group (43/87; 49.4%), whereas 30 patients had received prior treatment in the ECP group (30/65; 46.2%). The study found that the percentage of lesion volume reduction in the BPF group was not significantly different from that in the ECP group (75.00% ± 17.85% vs 74.69% ± 8.48%; P = .899). ECP was more effective when the initial lesion volume was greater than 30 mL (67.66% ± 12.34% vs 73.47% ± 8.00%; P = .048). Patients treated with BPF had significantly less posttreatment pain than those treated with ECP, in different baseline lesion size. In the overall sample, pain relief was significantly higher in the BPF group than in the ECP group (4.21 ± 1.19 vs 3.57 ± 0.76; P = .002). However, there was no difference in pain relief between the two groups for the treatment of initially large VMs (4.20 ± 0.94 vs 3.70 ± 0.87; P = .113). The ECP group was significantly more likely to develop hyperpigmentation (5/87; 5.75% vs 11/65; 16.92%; P = .026) and swelling (9/87; 10.34% vs 16/65; 24.62%; P = .019) 1 week after surgery than the BPF group. CONCLUSIONS: Our study demonstrates that both BPF and ECP are effective treatments for VMs, with BPF being a safer option. ECP is a better choice for patients with the initial lesion volume greater than 30 mL, but it is more likely to lead to early swelling and hyperpigmentation.

TSMPN-PSI: high-performance polarization scattering imaging based on three-stage multi-pipeline networks.

Polarization imaging, which provides multidimensional information beyond traditional intensity imaging, has prominent advantages for complex imaging tasks, particularly in scattering environments. By introducing deep learning (DL) into computational imaging and sensing, polarization scattering imaging (PSI) has obtained impressive progresses, however, it remains a challenging but long-standing puzzle due to the fact that scattering medium can result in significant degradation of the object information. Herein, we explore the relationship between multiple polarization feature learning strategy and the PSI performances, and propose a new multi-polarization driven multi-pipeline (MPDMP) framework to extract rich hierarchical representations from multiple independent polarization feature maps. Based on the MPDMP framework, we introduce a well-designed three-stage multi-pipeline networks (TSMPN) architecture to achieve the PSI, named TSMPN-PSI. The proposed TSMPN-PSI comprises three stages: pre-processing polarization image for de-speckling, multiple polarization feature learning, and target information reconstruction. Furthermore, we establish a real-world polarization scattering imaging system under active light illumination to acquire a dataset of real-life scenarios for training the model. Both qualitative and quantitative experimental results show that the proposed TSMPN-PSI achieves higher generalization performance than other methods on three testing data sets refer to imaging distances, target structures, and target materials and their background materials. We believe that our work presents a new framework for the PSI and paves the way to its pragmatic applications.

Untargeted plasma metabolome identifies biomarkers in patients with extracranial arteriovenous malformations.

Objective: This study aimed to investigate the plasma metabolic profile of patients with extracranial arteriovenous malformations (AVM). Method: Plasma samples were collected from 32 AVM patients and 30 healthy controls (HC). Ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) was employed to analyze the metabolic profiles of both groups. Metabolic pathway enrichment analysis was performed through Kyoto Encyclopedia of Genes and Genomes (KEGG) database and MetaboAnalyst. Additionally, machine learning algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO) and random forest (RF) were conducted to screen characteristic metabolites. The effectiveness of the serum biomarkers for AVM was evaluated using a receiver-operating characteristics (ROC) curve. Result: In total, 184 differential metabolites were screened in this study, with 110 metabolites in positive ion mode and 74 metabolites in negative mode. Lipids and lipid-like molecules were the predominant metabolites detected in both positive and negative ion modes. Several significant metabolic pathways were enriched in AVMs, including lipid metabolism, amino acid metabolism, carbohydrate metabolism, and protein translation. Through machine learning algorithms, nine metabolites were identify as characteristic metabolites, including hydroxy-proline, L-2-Amino-4-methylenepentanedioic acid, piperettine, 20-hydroxy-PGF2a, 2,2,4,4-tetramethyl-6-(1-oxobutyl)-1,3,5-cyclohexanetrione, DL-tryptophan, 9-oxoODE, alpha-Linolenic acid, and dihydrojasmonic acid. Conclusion: Patients with extracranial AVMs exhibited significantly altered metabolic patterns compared to healthy controls, which could be identified using plasma metabolomics. These findings suggest that metabolomic profiling can aid in the understanding of AVM pathophysiology and potentially inform clinical diagnosis and treatment.

Embolo/sclerotherapy for the treatment of hand arteriovenous malformations: a single-center retrospective cohort experience.

Purpose: To retrospectively report our preliminary experience of treating hand arteriovenous malformations (AVMs) with embolo/sclerotherapy. Materials and methods: Retrospectively review the demographics, treatment detail, outcome data, and complications of 13 consecutive patients with hand AVMs from January 2018 to December 2021. We embolize the dominant outflow vein with elastic coils and then use absolute ethanol or polidocanol for intravascular sclerotherapy and bleomycin for interstitial sclerotherapy. Results: Yakes type II presents in four lesions, type IIIa in six, and type IIIb in three. A total of 29 treatment episodes were conducted for the 13 patients (1 episode for 3 patients, 2 for 4 patients, and 3 for 6 patients; the repeated treatment rate was 76.9%). The mean stretched length of coils for 1 treatment episode was 95 cm. The mean absolute ethanol dosage was 6.8 ml (range 4-30 ml). In addition, 10 ml of 3% polidocanol foam was injected and interstitial sclerotherapy with 150,000 IU bleomycin was performed on every patient. The post-operative arterial-dominant outflow vein pressure index (AVI) increased in the 29 procedures (6.55 ± 1.68 vs. 9.38 ± 2.80, P < 0.05). The Mann-Whitney U test showed that the post-operative AVI was higher in patients without re-intervention (P < 0.05). Local swelling occurred after all the procedures. Blistering occurred in 6 of the patients in 13 (44.8%) of the 29 procedures. Superficial skin necrosis occurred in 3 of the patients in 5 (17.2%) of the 29 procedures. The swelling, blistering, and superficial skin necrosis recovered within 4 weeks. No finger amputation occurred. The follow-up time was 6 months. The 6-month assessment of clinical improvement after the last treatment episode showed that 2 patients were cured, 10 were improved, and 1 remained unchanged. With regard to angiographic evaluation, 9 showed partial response and 4 complete response. Conclusion: Embolo/sclerotherapy can be effective and safe for hand AVM. The AVI increased significantly after embolo/sclerotherapy, and the index may be valuable in predicting recurrence in further study.

Hyperuricemia promotes the progression of atherosclerosis by activating endothelial cell pyroptosis via the ROS/NLRP3 pathway.

Hyperuricemia closely correlates with the development of atherosclerosis, but little is known of the mechanism by which atherosclerosis progression occurs in hyperuricemia. Atherosclerosis appears to involve pyroptosis, an emerging mechanism of proinflammatory regulated cell death. This study tested the hypothesis that pyroptosis underlies the relationship between hyperuricemia and atherosclerosis, using ApoE-/- mice (a model of atherosclerosis), human umbilical vein endothelial cells (HUVECs), and human atherosclerotic arterial samples. We found that hyperuricemia can aggravate the aortic atherosclerotic plaque-load in ApoE-/- mice and promote endothelial cell pyroptosis. Additionally, hyperuricemia can increase the levels of serum inflammatory factors (including IL-1ß and IL-18). Exposure to lipopolysaccharide plus a high concentration of soluble uric acid (≥12 mg/dL) induced cell pyroptosis in HUVECs, as evidenced by increased expression of pyroptosis-related proteins and elevated release of lactate dehydrogenase (a marker of tissue damage). Further, MCC950, a selective nucleotide-binding oligomerization domain (NOD)-like receptor 3 (NLRP3) inflammasome inhibitor, and N-acetyl- l-cysteine, an antioxidant, attenuated HUVEC pyroptosis by inhibiting activation of the NLRP3 inflammasome and production of intracellular reactive oxygen species (ROS). Finally, we detected significantly higher expression of pyroptosis-associated proteins in carotid specimens from patients with hyperuricemia. Collectively, our findings suggest that hyperuricemia can aggravate endothelial cell pyroptosis in aortic atherosclerotic plaques, promoting the development of atherosclerosis. Additionally, a high concentration of soluble uric acid can trigger the activation stage of the NLRP3 inflammasome, mediating endothelial cell pyroptosis, and this process is regulated by the cellular ROS level.

Self-attention module in a multi-scale improved U-net (SAM-MIU-net) motivating high-performance polarization scattering imaging.

Polarization imaging has outstanding advantages in the field of scattering imaging, which still encounters great challenges in heavy scattering media systems even though there are helps from deep learning technology. In this paper, we propose a self-attention module (SAM) in multi-scale improved U-net (SAM-MIU-net) for the polarization scattering imaging, which can extract a new combination of multidimensional information from targets effectively. The proposed SAM-MIU-net can focus on the stable feature carried by polarization characteristics of the target, so as to enhance the expression of the available features, and make it easier to extract polarization features which help to recover the detail of targets for the polarization scattering imaging. Meanwhile, the SAM's effectiveness has been verified in a series of experiments. Based on proposed SAM-MIU-net, we have investigated the generalization abilities for the targets' structures and materials, and the imaging distances between the targets and the ground glass. Experimental results demonstrate that our proposed SAM-MIU-net can achieve high-precision reconstruction of target information under incoherent light conditions for the polarization scattering imaging.

I-DNAN6mA: Accurate Identification of DNA N6-Methyladenine Sites Using the Base-Pairing Map and Deep Learning.

The recent discovery of numerous DNA N6-methyladenine (6mA) sites has transformed our perception about the roles of 6mA in living organisms. However, our ability to understand them is hampered by our inability to identify 6mA sites rapidly and cost-efficiently by existing experimental methods. Developing a novel method to quickly and accurately identify 6mA sites is critical for speeding up the progress of its function detection and understanding. In this study, we propose a novel computational method, called I-DNAN6mA, to identify 6mA sites and complement experimental methods well, by leveraging the base-pairing rules and a well-designed three-stage deep learning model with pairwise inputs. The performance of our proposed method is benchmarked and evaluated on four species, i.e., Arabidopsis thaliana, Drosophila melanogaster, Rice, and Rosaceae. The experimental results demonstrate that I-DNAN6mA achieves area under the receiver operating characteristic curve values of 0.967, 0.963, 0.947, 0.976, and 0.990, accuracies of 91.5, 92.7, 88.2, 0.938, and 96.2%, and Mathew's correlation coefficient values of 0.855, 0.831, 0.763, 0.877, and 0.924 on five benchmark data sets, respectively, and outperforms several existing state-of-the-art methods. To our knowledge, I-DNAN6mA is the first approach to identify 6mA sites using a novel image-like representation of DNA sequences and a deep learning model with pairwise inputs. I-DNAN6mA is expected to be useful for locating functional regions of DNA.

Major Limb Amputation in Parkes-Weber Syndrome With Refractory Ulceration: A Case Report and Literature Review.

Parkes-Weber syndrome (PWS) is a rare congenital vascular syndrome consisting of capillary, venous, lymphatic, and arteriovenous malformation. There are many complications of PWS, such as ulceration, bleeding, infection, and cardiac failure. Among them, skin ulceration is one of the thorniest problems in PWS, requiring multidisciplinary approaches for the management. In this article, we presented the case of an elderly patient with refractory ulceration who received numerous treatments with no effect and finally underwent a major amputation to improve the quality of life. Moreover, we reviewed 23 previously reported cases to improve our understanding of the management for PWS patients with ulceration.

Inhibition of mitochondrial fission alters neo-intimal hyperplasia via PI3K/Akt signaling in arteriovenous fistulas.

BACKGROUND/OBJECTIVE: Arteriovenous fistulas (AVFs) are the preferred vascular access for hemodialysis of patients with end-stage renal disease. However, there is a high incidence of AVF failures caused by insufficient outward remodeling or venous neo-intimal hyperplasia formation. Abnormal proliferation and migration of vascular smooth muscle cells (VSMCs) play an important role in many cardiovascular diseases. Abnormal VSMC proliferation and migration could be abolished by inhibition of mitochondrial division. METHOD: We found that abnormal proliferation and migration of VSMCs and increased mitochondrial fission were associated with AVF stenosis in patients. We also investigated the mechanisms, particularly the role of mitochondrial dynamics, underlying these VSMC behaviors. In vitro, we observed that inhibition of mitochondrial fission and Akt phosphorylation can diminish proliferation and migration of VSMCs induced by platelet-derived growth factor-BB (PDGF-BB). In vivo, daily intraperitoneal injections of mitochondrial division inhibitor 1 (Mdivi-1) decreased VSMC proliferation and reduced AVF wall thickness in a rat AVF model. CONCLUSION AND RESULT: Our results suggest that inhibition of mitochondrial fission improves AVF patency by reducing wall thickening through the PI3K/Akt signaling pathway. Therefore, inhibition of mitochondrial fission has the clinical potential to improve AVF patency.

Comparison of polidocanol foam versus bleomycin polidocanol foam for treatment of venous malformations.

OBJECTIVE: The objective of this research was to retrospectively investigate the difference of safety and efficacy between polidocanol foam and bleomycin polidocanol foam (BPF) in the treatment of venous malformations (VMs), and provide clinical evidence for the application of BPF for VMs. METHODS: Patients with VMs treated with polidocanol foam and BPF were included between July 2018 and July 2020. The VM tissue involvements and symptoms were collected. The treatment outcomes were evaluated by the clinical improvement of symptoms and the degree of devascularization on ultrasound examination or magnetic resonance imaging. Patients were followed up for 1, 3, and 6 months after the sclerotherapy. Immediate and delayed complications were closely followed and recorded. RESULTS: A total of 51 patients were included, including 34 females and 17 males with a mean age of 26.8 years (range, 5-65 years). The most commonly involved sites were lower extremities (31/60 [51.7%]) and the most common symptom was pain (33/51 [64.7%]). Fifty-four sclerotherapies were performed with a mean of 1.06 ± 0.24 sessions (range, 1-2 sessions) per patient. The reduction percentage of lesion volume in the BPF group was significantly higher than the polidocanol foam group (79.4 ± 1.6% vs 55.7 ± 6.1%; P < .001). Patient satisfaction scores in the BPF group were significantly higher than the polidocanol foam group (7.2 ± 1.1 vs 5.7 ± 0.8; P < .001). No major complication was observed in either group. Cardiovascular and Interventional Radiological Society of Europe (CIRSE) grade 1 complications occurred in 5 of 21 patients in the BPF group and 7 of 30 patients in the polidocanol foam group, CIRSE grade 2 complications occurred in 5 of 21 patients in the BPF group and 4 of 30 patients in the polidocanol foam group; there were no significant differences between the two groups. CONCLUSIONS: BPF is a safe and effective sclerosant for VMs, showing better efficacy and similar safety as commonly used mild sclerosants. It could be a promising agent to treat VMs or other slow-flow vascular malformations.

Influencing Effects of Fabrication Errors on Performances of the Dielectric Metalens.

Despite continuous developments of manufacturing technology for micro-devices and nano-devices, fabrication errors still exist during the manufacturing process. To reduce manufacturing costs and save time, it is necessary to analyze the effects of fabrication errors on the performances of micro-/nano-devices, such as the dielectric metasurface-based metalens. Here, we mainly analyzed the influences of fabrication errors in dielectric metasurface-based metalens, including geometric size and shape of the unit element, on the focusing efficiency and the full width at half maximum (FWHM) values. Simulation results demonstrated that the performance of the metasurface was robust to fabrication errors within a certain range, which provides a theoretical guide for the concrete fabrication processes of dielectric metasurfaces.

Immune-mediated inflammatory diseases and risk of venous thromboembolism: A Mendelian randomization study.

Introduction: Immune-mediated inflammatory diseases (IMIDs) have been associated with an increased risk of venous thromboembolism (VTE) in multiple observational studies. However, a direct causally relation between IMIDs and VTE remains unclear to date. Here, we used Mendelian randomization (MR) analysis to investigate causal associations between IMIDs and VTE. Methods: We collected genetic data from published genome-wide association studies (GWAS) for six common IMIDs, specifically inflammatory bowel disease (IBD), Crohn's disease (CD), ulcerative colitis (UC), rheumatoid arthritis (RA), psoriasis (PSO), and systemic lupus erythematosus (SLE); and summary-level data for VTE, pulmonary embolism (PE), and deep vein thrombosis (DVT) from the FinnGen database. Two-sample MR analysis using inverse variance weighting (IVW) was performed to identify causal associations between IMIDs and VTE/DVT/PE, and sensitivity analyses were implemented for robustness. Results: IVW analysis showed a causal relationship between genetically predicted UC (one type of IBD) and the risk of VTE (OR = 1.043, 95% CI: 1.013-1.073, p = 0.004) and DVT (OR = 1.088, 95% CI: 1.043-1.136, p < 0.001), but we found no evidence of causality between UC and PE (OR = 1.029, 95% CI: 0.986-1.074, p = 0.19). In addition, no associations were observed between total IBD, CD, RA, SLE, or PSO and VTE/DVT/PE. Sensitivity analysis found no evidence for horizontal pleiotropy. Conclusion: This MR study provides new genetic evidence for the causal relationship between IMIDs and the risk of VTE. Our findings highlight the importance of active intervention and monitoring to mitigate VTE risk in patients with IBD, in particular those presenting with UC.

Association Between Nadir Hematocrit and Severe Acute Kidney Injury After Off-Pump Coronary Artery Bypass Graft Surgery: A Retrospective Cohort Study Based on the MIMIC-IV Database.

BACKGROUND We aimed to evaluate the association between postoperative nadir hematocrit (Hct) and severe acute kidney injury (AKI) in patients undergoing off-pump coronary artery bypass graft (OPCABG) surgery. MATERIAL AND METHODS Data of patients who received OPCABG were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. A generalized additive model was applied to explore the relationship between nadir Hct and severe AKI. Patients were divided into 4 groups by quartiles of postoperative nadir Hct, with the lowest group (Hct <25%) as reference. We conducted multivariate logistic regression models to calculate adjusted odds ratios (OR) and 95% CI and evaluate trend among the 4 groups. RESULTS In total, 1783 OPCABG patients were included. A nonlinear association between nadir Hct and severe AKI was identified. After adjusting for potential confounders, nadir Hct was negatively associated with risk of severe AKI when Hct was less than 31%; there was no statistical significance between highest Hct group (Hct ≥31%) and control group (Hct <25%; P>0.05). Tests for trend were significant (P<0.05). Subgroup analyses showed each 1% increase in postoperative nadir Hct was associated with a 23% decrease in risk of severe AKI (OR, 0.77; P=0.002) in lower BMI group (<30 kg/m²). CONCLUSIONS The association between postoperative nadir Hct and severe AKI in patients after OPCABG was nonlinear. Lower nadir Hct may be associated with increased risk of severe AKI when Hct values are less than 31%. However, no statistical significance was found between the highest Hct group and control group.

In Silico Identification of Key Genes and Immune Infiltration Characteristics in Epicardial Adipose Tissue from Patients with Coronary Artery Disease.

Background: The present study is aimed at identifying the differentially expressed genes (DEGs) and relevant biological processes and pathways associated with epicardial adipose tissue (EAT) from patients with coronary artery disease (CAD). We also explored potential biomarkers using two machine-learning algorithms and calculated the immune cell infiltration in EAT. Materials and Methods: Three datasets (GSE120774, GSE64554, and GSE24425) were obtained from the Gene Expression Omnibus (GEO) database. The GSE120774 dataset was used to evaluate DEGs between EAT of CAD patients and the control group. Functional enrichment analyses were conducted to study associated biological functions and mechanisms using the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA). After this, the least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) were performed to identify the feature genes related to CAD. The expression level of the feature genes was validated in GSE64554 and GSE24425. Finally, we calculated the immune cell infiltration and evaluated the correlation between the feature genes and immune cells using CIBERSORT. Results: We identified a total of 130 upregulated and 107 downregulated genes in GSE120774. Functional enrichment analysis revealed that DEGs are associated with several pathways, including the calcium signaling pathway, complement and coagulation cascades, ferroptosis, fluid shear stress and atherosclerosis, lipid and atherosclerosis, and regulation of lipolysis in adipocytes. TCF21, CDH19, XG, and NNAT were identified as feature genes and validated in the GSE64554 and GSE24425 datasets. Immune cell infiltration analysis showed plasma cells are significantly more numerous in EAT than in the control group (p = 0.001), whereas macrophage M0 (p = 0.024) and resting mast cells (p = 0.036) were significantly less numerous. TCF21, CDH19, XG, and NNAT were correlated with immune cells, including plasma cells, M0 macrophages, and resting mast cells. Conclusion: TCF21, CDH19, XG, and NNAT might serve as feature genes for CAD, providing new insights for future research on the pathogenesis of cardiovascular diseases.

Acute carotid stent thrombosis: A case report and literature review.

BACKGROUND: Acute carotid stent thrombosis (ACST) is a rare but devastating complication in the carotid artery stenting (CAS) procedure. The aim of this article is to report a case and review cases of ACST reported in the literature, and investigate risk factors and management strategies for ACST. CASE SUMMARY: We reviewed the treatment process of a patient with ACST after CAS. Then multiple databases were systematically searched to identify studies reporting ACST from 2005 to 2020. The demographic data, risk factors, treatment strategies, and prognosis were extracted and analyzed. CONCLUSION: The reason for ACST is multifactorial. Proper patient selection, normative anti-platelet treatment, and perfect technical detail may decrease the incidence of ACST. Several treatment strategies such as thrombolysis, mechanical thrombectomy, and open surgery may be options for the treatment of ACST. Limited data have shown that carotid endarterectomy is effective with favorable results.

Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network.

Knowledge of RNA solvent accessibility has recently become attractive due to the increasing awareness of its importance for key biological process. Accurately predicting the solvent accessibility of RNA is crucial for understanding its 3D structure and biological function. In this study, we develop a novel computational method, termed M2pred, for accurately predicting the solvent accessibility of RNA from sequence-based multi-scale context feature. In M2pred, three single-view features, i.e., base-pairing probabilities, position-specific frequency matrix, and a binary one-hot encoding, are first generated as three feature sources, and immediately concatenated to engender a super feature. Secondly, for the super feature, the matrix-format features of each nucleotide are extracted using an initialized sliding window technique, and regularly stacked into a cube-format feature. Then, using multi-scale context feature extraction strategy, a pyramid feature constructed of contextual feature of four scales related to target nucleotides is extracted from the cube-format feature. Finally, a customized multi-shot neural network framework, which is equipped with four different scales of receptive fields mainly integrating several residual attention blocks, is designed to dig discrimination information from the contextual pyramid feature. Experimental results demonstrate that the proposed M2pred achieve a high prediction performance and outperforms existing state-of-the-art prediction methods of RNA solvent accessibility.