Experimental study on opto-acoustic nonlinear frequency-mixing technique with separated basic temperature.

Different from the traditional frequency-mixing technique which employs a contacting transducer, the laser-induced acoustic nonlinear frequency-mixing detection technique utilizes a laser source to instigate crack motion and generate acoustic waves. Thus, apart from the temperature oscillation induced by the pump laser, the "basic temperature" originating from the probe laser can also influence the crack. This additional variable complicates the contact state of the crack, yielding a more diverse range of nonlinear acoustic signal attributes. In light of this, our study enhances the conventional opto-acoustic nonlinear frequency mixing experimental setup by integrating an independent heating laser beam. This modification isolates the impact of the "basic temperature" on crack width while also dialing down the probe laser power to mitigate its thermal effects. To amplify the sensitivity of crack detection, we deliberated on the optimal laser source parameters for this setup. Consequently, our revamped system, paired with fine-tuned parameters, captures nonlinear acoustic signals with an enriched feature set. This investigation can provide support for the non-contact opto-acoustic nonlinear frequency mixing technique in the detection and evaluation of micro-cracks.

A unique circ_0067716/EIF4A3 double-negative feedback loop impacts malignant transformation of human bronchial epithelial cells induced by benzo(a)pyrene.

Benzo(a)pyrene as a pervasive environmental contaminant is characterized by its substantial genotoxicity, and epidemiological investigations have established a correlation between benzo(a)pyrene exposure and the susceptibility to human lung cancer. Notably, much research has focused on the link between epigenetic alterations and lung cancer induced by chemicals, although circRNAs are also emerging as relevant contributors to the carcinogenic process of benzo(a)pyrene. In this study, we identified circ_0067716 as being significantly upregulated in response to stress injury and downregulated during malignant transformation induced by benzo(a)pyrene-7,8-diol-9,10-epoxide (BPDE) in human bronchial epithelial cells. The observed differential expression of circ_0067716 in cells treated with BPDE for varying durations suggests a strong correlation between this circRNA and BPDE exposure. The tissue samples of lung cancer patients also suggest that a lower circ_0067716 expression is associated with BPDE-DNA adduct levels. Remarkably, we demonstrate that EIF4A3, located in the nucleus, interacts with the flanking sequences of circ_0067716 and inhibits its biogenesis. Conversely, circ_0067716 is capable of sequestering EIF4A3 in the cytoplasm, thereby preventing its translocation into the nucleus. EIF4A3 and circ_0067716 can form a double-negative feedback loop that could be affected by BPDE. During the initial phase of BPDE exposure, the expression of circ_0067716 was increased in response to stress injury, resulting in cell apoptosis through the involvement of miR-324-5p/DRAM1/BAX axis. Subsequently, as cellular adaptation progressed, long-term induction due to BPDE exposure led to an elevated EIF4A3 and a reduced circ_0067716 expression, which facilitated the proliferation of cells by stabilizing the PI3K/AKT pathway. Thus, our current study describes the effects of circ_0067716 on the genotoxicity and carcinogenesis induced by benzo(a)pyrene and puts forwards to the possible regulatory mechanism on the occurrence of smoking-related lung cancer, providing a unique insight based on epigenetics.

Study of thermal effects induced by the high-frequency probing laser in nonlinear opto-acoustic frequency-mixing technique.

Photo-thermal modulation-based nonlinear opto-acoustic frequency-mixing technique is an effective method for detecting micro-cracks. When using this technique for micro-crack detection, the selection of laser source parameters is particularly crucial. Compared to traditional piezo-transducer-based mixing techniques, the characteristic of using a laser as the detection source is the presence of thermal effects. The thermal effect caused by laser irradiation on the sample surface can not only generate acoustic waves but also affect the crack state, thus influencing nonlinear signals. In this paper, an experimental setup using photo-thermal modulation-based nonlinear opto-acoustic frequency-mixing technique has been set up to investigate the thermal effects of the probe laser source. In addition, a corresponding physical model has been established to discuss the physical mechanisms revealed by the experimental results. This study provides a basis for selecting appropriate probe source parameters and scanning positions of laser sources when detecting micro-cracks using the photo-thermal modulation-based nonlinear opto-acoustic frequency-mixing technique.

Adhesion Coefficient Identification of Wheeled Mobile Robot under Unstructured Pavement.

Because of its uneven and large slope, unstructured pavement presents a great challenge to obtaining the adhesion coefficient of pavement. An estimation method of the peak adhesion coefficient of unstructured pavement on the basis of the extended Kalman filter is proposed in this paper. The identification accuracy of road adhesion coefficients under unstructured pavement is improved by introducing the equivalent suspension model to optimize the calculation of vertical wheel load and modifying vehicle acceleration combined with vehicle posture data. Finally, the multi-condition simulation experiments with Carsim are conducted, the estimation accuracy of the adhesion coefficient is at least improved by 3.6%, and then the precision and effectiveness of the designed algorithm in the article are verified.

Modeling the feasibility of Se-rich corn cultivation in Se-deficient agricultural fields using random forest algorithm.

Selenium constitutes an essential trace element for the human body. Moderate Se intake plays a pivotal role in preserving overall health. The absorption of Se by plants is primarily influenced by the available Se levels in soils, rather than by the soil total Se content, offering potential for exploring Se-rich crops in Se-deficient regions. In this study, we explore the factors influencing the Se bioaccumulation coefficient in corn based on a land quality geochemical survey at a 1:50,000 scale and establish predictive models for corn seed Se content using random forest and multiple linear regression approaches. The results indicate that the surface soil in the study area is deficient in Se (0.18-1.21 mg/kg), but 54% of the corn grain samples met the standards for Se-rich products (0.02-0.30 mg/kg). The factors influencing the Se biological enrichment coefficient in corn seeds are soil pH and CaO and MgO content, with impact levels of 0.54, 0.42, and 0.35, respectively. Compared to multiple linear regression models, the RF model provides more accurate and reliable predictions of corn Se content. The random forest model indicates that approximately 41% of the farmland within the study area is conducive to the cultivation of naturally Se-rich corn, which is a 26% increase in the planting area compared to recommendations based solely on soil Se content. In this research, we introduce an innovative methodological framework for organically cultivating naturally Se-rich corn within regions affected by Se deficiency.

Key roles of autophagosome/endosome maturation mediated by Syntaxin17 in methamphetamine-induced neuronal damage in mice.

BACKGROUND: Autophagic defects are involved in Methamphetamine (Meth)-induced neurotoxicity. Syntaxin 17 (Stx17), a member of the SNARE protein family, participating in several stages of autophagy, including autophagosome-late endosome/lysosome fusion. However, the role of Stx17 and potential mechanisms in autophagic defects induced by Meth remain poorly understood. METHODS: To address the mechanism of Meth-induced cognitive impairment, the adenovirus (AV) and adeno-associated virus (AAV) were injected into the hippocampus for stereotaxis to overexpress Stx17 in vivo to examine the cognitive ability via morris water maze and novel object recognition. In molecular level, the synaptic injury and autophagic defects were evaluated. To address the Meth induced neuronal damage, the epidermal growth factor receptor (EGFR) degradation assay was performed to evaluate the degradability of the "cargos" mediated by Meth, and mechanistically, the maturation of the vesicles, including autophagosomes and endosomes, were validated by the Co-IP and the GTP-agarose affinity isolation assays. RESULTS: Overexpression of Stx17 in the hippocampus markedly rescued the Meth-induced cognitive impairment and synaptic loss. For endosomes, Meth exposure upregulated Rab5 expression and its guanine-nucleotide exchange factor (GEF) (immature endosome), with a commensurate decreased active form of Rab7 (Rab7-GTP) and impeded the binding of Rab7 to CCZ1 (mature endosome); for autophagosomes, Meth treatment elicited a dramatic reduction in the overlap between Stx17 and autophagosomes but increased the colocalization of ATG5 and autophagosomes (immature autophagosomes). After Stx17 overexpression, the Rab7-GTP levels in purified late endosomes were substantially increased in parallel with the elevated mature autophagosomes, facilitating cargo (Aß42, p-tau, and EGFR) degradation in the vesicles, which finally ameliorated Meth-induced synaptic loss and memory deficits in mice. CONCLUSION: Stx17 decrease mediated by Meth contributes to vesicle fusion defects which may ascribe to the immature autophagosomes and endosomes, leading to autophagic dysfunction and finalizes neuronal damage and cognitive impairments. Therefore, targeting Stx17 may be a novel therapeutic strategy for Meth-induced neuronal injury.

Management of Isolated Abdominal Aortic Dissection: Indications and Strategies for Treatment.

BACKGROUND: The aim of this paper was to report our experience in the management of isolated abdominal aortic dissection with endovascular aortic repair and conservative treatment. METHODS: A cohort of 22 consecutive patients with isolated abdominal aortic dissection was treated between January 2016 and December 2021. We reviewed the demographics, clinical features, therapeutic modalities and follow-up results. Retrospective data analysis from patient charts was performed. RESULTS: Twenty-two patients were enrolled in this study from 2 centers. The mean age was 66.2 ± 13.3 years. Hypertension was the primary risk factor. Seventeen (72.7%) patients were asymptomatic, and 18 patients were subrenal artery type (type II). A total of 12 patients had successful endovascular repair (EVAR), and 10 patients underwent conservative treatment. In the group receiving conservative treatment, no patients required EVAR during follow-up, and 4 patients died. However, none of them had aortic causes: 2 patients had cardiac causes, the other 2 had cancer, and the others remained symptom-free. The latest computed tomographic angiography images showed that abdominal aortic dissection still existed, and the extent of the false lumen did not increase significantly. CONCLUSIONS: Both conservative treatment and EVAR are effective treatment options. Appropriate treatment needs to be performed according to different patients' clinical manifestations and doctors' experience.

Interventional chemoembolization for the treatment of severe ulcerative bleeding caused by advanced breast cancer: A report of two cases.

Local ulcerative cutaneous hemorrhage resulting from breast cancer profoundly effects the quality of life of patients, at times even posing a threat to life. While early diagnosis rates of breast cancer have shown improvement, some patients may present at an advanced stage upon consultation. Presently, there is no standardized treatment approach for these patients. In this context, the present study presented two case studies detailing the use of interventional embolization chemotherapy for addressing severe local ulcerative hemorrhage associated with breast cancer. Post-treatment, there was a notable amelioration in the mammary ulceration among the patients, an elevated hemoglobin level compared with baseline and a consequent enhancement in their overall quality of life. These cases may serve as valuable references for the management of such clinical situations.

Experimental investigation of nanosecond laser-induced shock waves in water using multiple excitation beams.

Revealing the expansion and interaction dynamics of multiple shock waves induced by a nanosecond laser is important for controlling laser surgery. However, the dynamic evolution of shock waves is a complex and ultrafast process, making it difficult to determine the specific laws. In this study, we conducted an experimental investigation into the formation, propagation, and interaction of underwater shock waves that are induced by nanosecond laser pulses. The effective energy carried by the shock wave is quantified by the Sedov-Taylor model fitting with experimental results. Numerical simulations with an analytic model using the distance between adjacent breakdown locations as input and effective energy as fit parameters provide insights into experimentally not accessible shock wave emission and parameters. A semi-empirical model is used to describe the pressure and temperature behind the shock wave taking into account the effective energy. The results of our analysis demonstrate that shock waves exhibit asymmetry in both their transverse and longitudinal velocity and pressure distributions. In addition, we compared the effect of the distance between adjacent excitation positions on the shock wave emission process. Furthermore, utilizing multi-point excitation offers a flexible approach to delve deeper into the physical mechanisms that cause optical tissue damage in nanosecond laser surgery, leading to a better comprehension of the subject.

Cigarette smoke triggers calcium overload in mouse hippocampal neurons via the ΔFOSB-CACNA2D1 axis to impair cognitive performance.

A growing body of evidence shows that cigarette smoking impairs cognitive performance. The 'Calcium Hypothesis' theory of neuronopathies reveals a critical role of aberrant calcium signaling in compromised cognitive functions. However, the underlying implications of abnormalities in calcium signaling in the neurotoxicity induced by cigarette smoke (CS) have not yet been identified. CACNA2D1, an important auxiliary subunit involved in the composition of voltage-gated calcium channels (VGCCs), was reported to affect the calcium signaling in neurons by facilitating VGCCs-mediated Ca2+ influx. ΔFOSB, an alternatively-spliced product of the Fosb gene, is an activity-dependent transcription factor induced robustly in the brain in response to environmental stimuli such as CS. Interestingly, our preliminary bioinformatics analysis revealed a significant co-expression between ΔFOSB and CACNA2D1 in brain tissues of patients with neurodegenerative diseases characterized by progressive cognitive decline. Therefore, we hypothesized that the activation of the ΔFOSB-CACNA2D1 axis in response to CS exposure might cause dysregulation of calcium homeostasis in hippocampal neurons via VGCCs-mediated Ca2+ influx, thereby contributing to cognitive deficits. To this end, the present study established a CS-induced mouse model of hippocampus-dependent cognitive impairment, in which the activation of the ΔFOSB-CACNA2D1 axis accompanied by severe calcium overload was observed in the mouse hippocampal tissues. More importantly, ΔFOSB knockdown-/overexpression-mediated inactivation/activation of the ΔFOSB-CACNA2D1 axis interdicted/mimicked CS-induced dysregulation of calcium homeostasis followed by severe cellular damage in HT22 mouse hippocampal neurons. Mechanistically speaking, a further ChIP-qPCR assay confirmed the physical interaction between transcription factor ΔFOSB and the Cacna2d1 gene promoter, suggesting a direct transcriptional regulation of the Cacna2d1 gene by ΔFOSB. Overall, our current work aims to deliver a unique insight into the neurotoxic mechanisms induced by CS to explore potential targets for intervention.

Clinically approved small-molecule drugs for the treatment of rheumatoid arthritis.

Rheumatoid arthritis (RA) is a persistent autoimmune ailment that is typified by the development of pannus, proliferation of synovial lining cells, microvascular neogenesis, infiltration of interstitial inflammatory cells, and destruction of cartilage and bone tissue. The disease not only imposes physical pain and economic burden on patients, but also results in a significant decline in their quality of life, rendering it a leading cause of disability. General treatment and drugs are commonly employed to alleviate the condition and symptoms of RA. Cyclooxygenase (COX), janus kinase (JAK), glucocorticoid receptor (GR) et al. have been identified as the main therapeutic targets for RA. This article provides a comprehensive review of the clinical applications and synthetic routes of 26 representative drugs for the treatment of RA, with the aim of facilitating the discovery of more effective new drugs for the treatment of this debilitating disease.

Recent advance of small-molecule drugs for clinical treatment of multiple myeloma.

Multiple myeloma (MM) is a hematologic neoplasm of plasma cells that is currently deemed incurable. Despite the introduction of novel immunomodulators and proteasome inhibitors, MM remains a challenging disease with high rates of relapse and refractoriness. The management of refractory and relapsed MM patients remains a formidable task, primarily due to the emergence of multiple drug resistance. Consequently, there is an urgent need for novel therapeutic agents to address this clinical challenge. In recent years, a significant amount of research has been dedicated to the discovery of novel therapeutic agents for the treatment of MM. The clinical utilization of proteasome inhibitor carfilzomib and immunomodulator pomalidomide has been successively introduced. As basic research continues to advance, novel therapeutic agents, including panobinostat, a histone deacetylase inhibitor, and selinexor, a nuclear export inhibitor, have progressed to the clinical trial and application phase. This review aims to furnish a comprehensive survey of the clinical applications and synthetic pathways of select drugs, with the intention of imparting valuable insights for future drug research and development geared towards MM.

Analysis of upper gastrointestinal bleeding complicated with deep vein thrombosis in elderly gastric cancer patients by gastric cancer imaging.

Tumor imaging represents an ideal environment for collecting novel biomarkers from different technologies, as patients with tumors often undergo multiple imaging studies.With the aging of the Chinese population, the number of elderly patients with gastric cancer is also increasing. In the past, patients with gastric cancer in the elderly have been conservative in whether surgical treatment can be performed, and advanced age is regarded as a relative contraindication to the effect of surgical treatment on gastric cancer patients. To investigate the clinical characteristics of patients with upper gastrointestinal hemorrhage complicated by deep vein thrombosis in elderly patients with gastric cancer. One patient with upper gastrointestinal hemorrhage complicated by deep venous thrombosis, and elderly gastric cancer patients admitted to our hospital on 11 October 2020, were selected. After anti-shock symptomatic support, filter placement, prevention and treatment of thrombosis, gastric cancer eradication, anticoagulation, immune regulation, etc. Treatment and long-term follow-up observation. Long-term follow-up showed that the patient's condition was stable, there was no sign of metastasis or recurrence after radical gastrectomy for gastric cancer, and there were no serious pre- and post-operative complications such as upper gastrointestinal bleeding and deep vein thrombosis, and the prognosis was satisfactory. How to choose the appropriate operation timing and method for elderly gastric cancer patients with upper gastrointestinal bleeding and deep vein thrombosis at the same time to maximize benefits, clinical experience in this area is particularly valuable.

Knowledge graph analysis and visualization of artificial intelligence applied in electrocardiogram.

Background: Electrocardiogram (ECG) provides a straightforward and non-invasive approach for various applications, such as disease classification, biometric identification, emotion recognition, and so on. In recent years, artificial intelligence (AI) shows excellent performance and plays an increasingly important role in electrocardiogram research as well. Objective: This study mainly adopts the literature on the applications of artificial intelligence in electrocardiogram research to focus on the development process through bibliometric and visual knowledge graph methods. Methods: The 2,229 publications collected from the Web of Science Core Collection (WoSCC) database until 2021 are employed as the research objects, and a comprehensive metrology and visualization analysis based on CiteSpace (version 6.1. R3) and VOSviewer (version 1.6.18) platform, which were conducted to explore the co-authorship, co-occurrence and co-citation of countries/regions, institutions, authors, journals, categories, references and keywords regarding artificial intelligence applied in electrocardiogram. Results: In the recent 4 years, both the annual publications and citations of artificial intelligence in electrocardiogram sharply increased. China published the most articles while Singapore had the highest ACP (average citations per article). The most productive institution and authors were Ngee Ann Polytech from Singapore and Acharya U. Rajendra from the University of Technology Sydney. The journal Computers in Biology and Medicine published the most influential publications, and the subject with the most published articles are distributed in Engineering Electrical Electronic. The evolution of research hotspots was analyzed by co-citation references' cluster knowledge visualization domain map. In addition, deep learning, attention mechanism, data augmentation, and so on were the focuses of recent research through the co-occurrence of keywords.

Feasibility of Co-Targeting HER3 and EpCAM Using Seribantumab and DARPin-Toxin Fusion in a Pancreatic Cancer Xenograft Model.

Pancreatic cancer (PC) is one of the most aggressive malignancies. A combination of targeted therapies could increase the therapeutic efficacy in tumors with heterogeneous target expression. Overexpression of the human epidermal growth factor receptor type 3 (HER3) and the epithelial cell adhesion molecule (EpCAM) in up to 40% and 30% of PCs, respectively, is associated with poor prognosis and highlights the relevance of these targets. Designed ankyrin repeat protein (DARPin) Ec1 fused with the low immunogenic bacterial toxin LoPE provides specific and potent cytotoxicity against EpCAM-expressing cancer cells. Here, we investigated whether the co-targeting of HER3 using the monoclonal antibody seribantumab (MM-121) and of EpCAM using Ec1-LoPE would improve the therapeutic efficacy in comparison to the individual agents. Radiolabeled 99mTc(CO)3-Ec1-LoPE showed specific binding with rapid internalization in EpCAM-expressing PC cells. MM-121 did not interfere with the binding of Ec1-LoPE to EpCAM. Evaluation of cytotoxicity indicated synergism between Ec1-LoPE and MM-121 in vitro. An experimental therapy study using Ec1-LoPE and MM-121 in mice bearing EpCAM- and HER3-expressing BxPC3 xenografts demonstrated the feasibility of the therapy. Further development of the co-targeting approach using HER3 and EpCAM could therefore be justified.

Immune infiltration and immunophenotyping in atrial fibrillation.

Atrial fibrillation (AF) is a relatively common arrhythmia in clinical practice. Although significant progress has been achieved in the treatment of AF and its associated complications, research on AF prevention lags behind, mainly due to the lack of a deep understanding of AF pathogenesis. In recent years, as our knowledge has grown, the role of the inflammatory/immune response in the occurrence and progression of AF has gradually gained attention. In this paper, based on existing gene expression data in the Gene Expression Omnibus database, a detailed description of immune infiltration status in AF is presented using a series of analytical methods, including differential analysis, Gene Ontology categorization, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and weighted gene coexpression network analysis, and analysis tools such as CIBERSORTx and Cytoscape. Several new AF/immune infiltrations-related signature genes were identified, and the AF/immune infiltration pathology was classified based on these immune signature genes, thus providing novel insights into the pathogenesis of AF based on the inflammatory response.

Endovascular Repair for Abdominal Aortic Aneurysm in Mainland China: A Systematic Review and Meta-Analysis.

BACKGROUND: The aim of this study was to evaluate the safety, applicability, and outcomes of the endovascular aneurysm repair (EVAR) technique for patients in mainland China with abdominal aortic aneurysm (AAA) by performing a systematic review. METHODS: We conducted a systematic search using the PubMed, Embase, Chinese National Knowledge Infrastructure, and Chinese Biomedical databases to identify Chinese studies on the management of AAAs using the EVAR technique published in English between January 2000 and December 2020. Two independent observers selected studies for inclusion in the study, assessed the methodological quality of the included studies, and extracted the data. The included studies investigated the clinical outcomes and postprocedural complications of using EVAR techniques. RESULTS: Sixteen studies reported a total of 3,024 AAA patients. The follow-up period ranged from 1 to 133 months. The mean follow-up time was 38.5 months, the mean age was 69.2 years, and the mean aneurysm diameter was 56.1 mm. The pooled technical success rate was 95% (95% confidence interval [CI]: 92-96%). The endoleak rate was 7% (95% CI: 6-8%). The rate of endoleak requiring reintervention was 3% (95% CI: 3-4%). The 30-day morbidity rate was 9% (95% CI: 6-14%). The 30-day mortality rate was 2% (95% CI: 1-3%). The follow-up mortality was 5% (95% CI: 3-8%). CONCLUSIONS: The results of the study showed that using the EVAR technique for treating patients in mainland China with AAAs produced encouraging mid-term outcomes. Long-term outcomes should be examined in future research.

An Integrated Autonomous Dynamic Navigation Approach toward a Composite Air-Ground Risk Construction Scenario.

Unmanned transportation in construction scenarios presents a significant challenge due to the presence of complex dynamic on-ground obstacles and potential airborne falling objects. Consequently, the typical methodology for composite air-ground risk avoidance in construction scenarios holds enormous importance. In this paper, an integrated potential-field-based risk assessment approach is proposed to evaluate the threat severity of the environmental obstacles. Meanwhile, the self-adaptive dynamic window approach is suggested to manage the real-time motion planning solution for air-ground risks. By designing the multi-objective velocity sample window, we constrain the vehicle's speed planning instructions within reasonable limits. Combined with a hierarchical decision-making mechanism, this approach achieves effective obstacle avoidance with multiple drive modes. Simulation results demonstrate that, in comparison with the traditional dynamic window approach, the proposed method offers enhanced stability and efficiency in risk avoidance, underlining its notable safety and effectiveness.

Description of Clinical Features and Diagnoses of 444 Cases with Neck-Shoulder-Upper Extremity Pain: A Single-Center Retrospective Review.

Purpose: Neck-shoulder-upper extremity pain (NSUEP) is a frequently occurring clinical constellation of syndromes. However, its etiology is complicated, and the diagnosis is challenging. We aimed to present detailed clinical characteristics and diagnoses of NSUEP from a single center and heighten clinicians' understanding of this condition. Patients and Methods: Prospectively collected databases were used to retrospectively evaluate patients with NSUEP who underwent treatment at the multidisciplinary consultation center for neck, shoulder, and upper extremity pain at the China-Japan Union Hospital of Jilin University between April 2014 and July 2021. We performed descriptive statistics regarding demographic data, symptoms, findings of physical and radiographic examinations, and each patient's diagnosis. Results: Development of NSUEP was primarily observed in individuals aged between 51 and 60 years (n = 157, 35.4%). Patients were most commonly referred for upper extremity pain (n = 306, 68.9%). Patients with upper extremity pain presented with hypoesthesia (n = 139, 45.4%), muscle weakness (n = 93, 30.4%), muscle atrophy (n = 90, 29.4%), hyperesthesia (n = 39, 12.7%), and turgidity (n = 18, 5.9%). Among the 22 patients with upper extremity swelling, 8 (36.4%) were diagnosed with autoimmune rheumatic diseases. Among the 352 patients with a single diagnosis, 51 (14.5%) presented with thoracic outlet syndrome, 49 (13.9%) with cervical radiculopathy, 16 (4.5%) with carpal tunnel syndrome, and 16 (4.5%) with brachial plexus injury. Further, among the 92 patients with compound diagnosis, 18 patients (19.6%) were diagnosed with cervical radiculopathy. Conclusion: Among the NSUEP patients in this study, older individuals were the largest group. Pain, numbness, weakness, and mobility limitation are common complaints accompanying NSUEP. The common etiologies of NSUEP include cervical spondylosis, thoracic outlet syndrome, carpal tunnel syndrome, and brachial plexus injury. In addition, autoimmune rheumatic diseases should be considered in patients with NSUEP and swelling.

Comparison of Different Isolation Methods for Plasma-Derived Extracellular Vesicles in Patients with Hyperlipidemia.

Extracellular vesicles are commonly found in human body fluids and can reflect current physiological conditions of human body and act as biomarkers of disease. The quality of isolated extracellular vesicles facilitates the early diagnosis of various diseases accompanied by hyperlipidemia. Nonetheless, there are no reports on which special methods are suitable for isolating extracellular vesicles from the plasma of patients with hyperlipidemia. Thus, this study compared three different research-based extracellular vesicle isolation approaches, namely ultracentrifugation (UC), polyethylene glycol (PEG) precipitation, and size exclusion chromatography (SEC), and determined which of them was the most effective method. We selected blood samples from 12 patients with clinically diagnosed hyperlipidemia and isolated plasma-derived extracellular vesicles using three methods. The morphology of the isolated extracellular vesicles was observed using transmission electron microscopy, while the concentration was detected by asymmetric flow field-flow fractionation and multi-angle light scattering. Marker proteins were identified by Western blotting, and protein composition was evaluated by silver staining. Both determined the contaminations in the extracellular vesicle samples. The results showed that the three methods can be successfully used for the isolation of extracellular vesicles. The extracellular vesicles isolated by UC were larger in size, and the yield was much lower. Although the yield of extracellular vesicles isolated by PEG precipitation was greatly improved, the contamination was increased. Of the three methods, only the SEC-isolated extracellular vesicles were characterized by high yield and low contamination. Therefore, our data suggested that the SEC was a more ideal method for isolating extracellular vesicles from the plasma of patients with hyperlipidemia.