Effects of isoprene on the ozonolysis of Δ3-carene and ß-caryophyllene: Mechanisms of secondary organic aerosol formation and cross-dimerization.

Elucidating the mutual effects between the different volatile organic compounds (VOCs) is crucial for comprehending the formation mechanism of atmospheric secondary organic aerosols (SOA). Here, the mixed VOCs experiments of isoprene and Δ3-carene/ß-caryophyllene were carried out in the presence of O3 using an indoor smog chamber. The suppression effect of isoprene was recognized by the scanning mobility particle sizer spectrometer, online vacuum ultraviolet free electron laser (VUV-FEL) photoionization aerosol mass spectrometry, and quantum chemical calculations. The results indicate that the suppression effect of isoprene on the ozonolysis of Δ3-carene and ß-caryophyllene shows fluctuating and monotonous trends, respectively. The carbon content of the precursor could be the main factor for regulating the strength of the suppression effect. Plausible structures and formation mechanisms of several new products generated from the single VOC precursor and VOC-cross-reaction are proposed, which enrich the category of VOC oxidation products. Meanwhile, a new dimerization mechanism of the RO2 + R'O2 reaction is suggested, which offers an intriguing perspective on the gas phase formation process of particle phase accretion products. The present findings provide valuable insights into clarifying the pivotal roles played by isoprene in the interplay between different VOCs and understanding of SOA formation mechanisms of VOC mixtures, especially nearby the emission origins.

Mutual regulation of microglia and astrocytes after Gas6 inhibits spinal cord injury.

JOURNAL/nrgr/04.03/01300535-202502000-00032/figure1/v/2024-05-28T214302Z/r/image-tiff Invasive inflammation and excessive scar formation are the main reasons for the difficulty in repairing nervous tissue after spinal cord injury. Microglia and astrocytes play key roles in the spinal cord injury micro-environment and share a close interaction. However, the mechanisms involved remain unclear. In this study, we found that after spinal cord injury, resting microglia (M0) were polarized into pro-inflammatory phenotypes (MG1 and MG3), while resting astrocytes were polarized into reactive and scar-forming phenotypes. The expression of growth arrest-specific 6 (Gas6) and its receptor Axl were significantly down-regulated in microglia and astrocytes after spinal cord injury. In vitro experiments showed that Gas6 had negative effects on the polarization of reactive astrocytes and pro-inflammatory microglia, and even inhibited the cross-regulation between them. We further demonstrated that Gas6 can inhibit the polarization of reactive astrocytes by suppressing the activation of the Yes-associated protein signaling pathway. This, in turn, inhibited the polarization of pro-inflammatory microglia by suppressing the activation of the nuclear factor-κB/p65 and Janus kinase/signal transducer and activator of transcription signaling pathways. In vivo experiments showed that Gas6 inhibited the polarization of pro-inflammatory microglia and reactive astrocytes in the injured spinal cord, thereby promoting tissue repair and motor function recovery. Overall, Gas6 may play a role in the treatment of spinal cord injury. It can inhibit the inflammatory pathway of microglia and polarization of astrocytes, attenuate the interaction between microglia and astrocytes in the inflammatory microenvironment, and thereby alleviate local inflammation and reduce scar formation in the spinal cord.

Explore on screening COX-2 inhibitors from the essential oil of Solanum lyratum Thunb. By molecular docking and molecular dynamics simulation.

This study aimed to investigate Solanum lyratum Thunb. with respect to the potential ingredients with anti-inflammatory activity from its essential oil by silico study. To this regard, the essential oil of Solanum lyratum Thunb. was extracted by hydrodistillation. 25 compounds were identified by GC-MS. Using virtual screening, molecular docking and molecular dynamics simulation of the 25 identified compounds, the ones showing anti-inflammatory activity on COX-2 were identified. According to the drug-like principle and the prediction of ADEMT properties, the six compounds of Spathulenol, Cedrol, Juniper camphor, Santalol, Nootkatone and 7,9-Di-tert-butyl-1-oxaspiro[4.5]deca-6,9-diene-2,8-dione were identified and then studied for molecular docking, and based on which the top two compounds of binding free energy were studied by the molecular dynamics simulation. The molecular docking data indicated that the binding free energies of Spathulenol, Cedrol, Juniper camphor, Santalol, Nootkatone and 7,9-Di-tert-butyl-1-oxaspiro[4.5]deca-6,9-diene-2,8-dione to COX-2 protein were -5.65, -7.19, -6.35, -4.94, -5.82 and -5.14 kcal/mol, respectively. The findings showed the steady interactions of hydrogen bonds and hydrophobic bonds between both the top two compounds of binding free energy and the active site residues of COX-2 (4M11) throughout the simulation via hydrogen bonds and hydrophobic bonds. The very study shall be supportive for in vitro and in vivo studies in developing drug products using the lead bioactive ingredients for anti-inflammatory in the future.

Multicentre evaluation of in vitro activity of contezolid against drug-resistant Staphylococcus and Enterococcus.

BACKGROUND: To investigate susceptibility to contezolid, a novel oxazolidinone, multicentre surveillance was conducted involving 2449 strains of Staphylococcus and Enterococcus collected from 65 hospitals across China. METHODS: The MICs of contezolid, linezolid and other clinically significant antibiotics were determined by the broth microdilution method. Consistency with the broth microdilution method for contezolid was assessed using agar dilution method, as well as disc diffusion and ETEST for linezolid, respectively. WGS was conducted on all 20 linezolid-resistant and 30 randomly non-resistant strains to analyse linezolid resistance genes (optrA, poxtA, cfr) and 23S rRNA mutation sites. RESULTS: All strains exhibited WT susceptibility to contezolid, while resistance proportions to daptomycin, vancomycin, teicoplanin, tigecycline and eravacycline ranged from 0% to 5.2% in Staphylococcus, and from 0% to 7.8% in Enterococcus. Linezolid resistance was higher in Enterococcus faecalis (4.4%) compared with Enterococcus faecium (0.2%). Contezolid showed a lower MIC50 (0.5 mg/L) than linezolid (2 mg/L) for methicillin-resistant Staphylococcus. Against Enterococcus, contezolid demonstrated a cumulative MIC percentage of 70% for VRE and 39.1% for E. faecalis (at MIC = 1 mg/L), whereas linezolid showed 0% and 1.1%, respectively. Among the 20 linezolid-resistant Enterococcus strains, all carried the optrA gene without 23S rRNA mutations. For contezolid, MICs were 4 mg/L for 19 strains and 2 mg/L for 1 strain. The ETEST, agar dilution and disc diffusion methods showed essential and categorical agreements of >90% for linezolid, with no major errors or very major errors. CONCLUSIONS: Contezolid demonstrated significant in vitro antibacterial activity against methicillin-resistant Staphylococcus, VRE and linezolid-resistant E. faecalis.

Resveratrol promotes diabetic wound healing by inhibiting ferroptosis in vascular endothelial cells.

BACKGROUND: Diabetic wounds are a common complication of diabetes, with alarming disability and mortality rates. Ferroptosis plays an essential role in the occurrence and development of diabetes mellitus and its complications, suggesting that mitigating ferroptosis can be used as a potential therapeutic strategy. Resveratrol (RSV) can promote the angiogenesis of diabetic wounds, but its molecular mechanism is unclear, and RSV has a role in regulating ferroptosis. Therefore, we speculated that RSV could promote the angiogenesis of diabetic wounds and accelerate wound healing by regulating ferroptosis. METHODS: In this study, we investigated the effects of RSV on human umbilical vein endothelial cells (HUVECs) treated with advanced glycation end-products (AGEs), focusing primarily on cell proliferation and markers associated with ferroptosis. The methods employed included the CCK-8 assay for cell proliferation, ROS determination, Fe²âº measurement, scratch and tube formation assays, and transcriptome analysis. To evaluate the effectiveness of RSV in promoting wound healing, we established a type 2 diabetes rat model and created a skin injury model. Wound healing rates were assessed, and tissue samples were analyzed using hematoxylin and eosin (H&E) staining, immunohistochemistry, immunofluorescence, and Western blotting. Additionally, levels of glutathione (GSH) and malondialdehyde (MDA) were measured to evaluate oxidative stress and lipid peroxidation. RESULT: Upon treatment of HUVECs with AGEs, we observed a decrease in cell viability and induction of ferroptosis. RSV can alleviate ferroptosis in AGEs-treated HUVECs. Further investigation through transcriptome analysis and Western blotting revealed that RSV alleviates ferroptosis in AGE-treated HUVECs by modulating the activity of nuclear factor erythroid 2-related factor 2 (Nrf2). In vivo experiments using a diabetic rat skin injury model confirmed that both RSV and Ferrostatin-1 (Fer-1) enhance wound healing and angiogenesis. This effect was associated with the regulation of ferroptosis marker proteins including GPX4, SLC7A11, and ACSL4. Additionally, in the diabetic rat groups treated with RSV and Fer-1, we noted increased expression of Nrf2, vascular endothelial growth factor (VEGF), and CD31 proteins compared to the diabetic rat control group. CONCLUSION: In diabetic wounds, AGEs can lead to ferroptosis in HUVECs. RSV can inhibit AGE-induced ferroptosis in HUVECs, further promoting angiogenesis in diabetic wounds, and ultimately accelerating wound healing.

Optimal Training Positive Sample Size Determination for Deep Learning with a Validation on CBCT Image Caries Recognition.

Objectives: During deep learning model training, it is essential to consider the balance among the effects of sample size, actual resources, and time constraints. Single-arm objective performance criteria (OPC) was proposed to determine the optimal positive sample size for training deep learning models in caries recognition. Methods: An expected sensitivity (PT) of 0.6 and a clinically acceptable sensitivity (P0) of 0.5 were applied to the single-arm OPC calculation formula, yielding an optimal training set comprising 263 carious teeth. U-Net, YOLOv5n, and CariesDetectNet were trained and validated using clinically self-collected cone-beam computed tomography (CBCT) images that included varying quantities of carious teeth. To assess performance, an additional dataset was utilized to evaluate the accuracy of caries detection by both the models and two dental radiologists. Results: When the number of carious teeth reached approximately 250, the models reached the optimal performance levels. U-Net demonstrated superior performance, achieving accuracy, sensitivity, specificity, F1-Score, and Dice similarity coefficients of 0.9929, 0.9307, 0.9989, 0.9590, and 0.9435, respectively. The three models exhibited greater accuracy in caries recognition compared to dental radiologists. Conclusions: This study demonstrated that the positive sample size of CBCT images containing caries was predictable and could be calculated using single-arm OPC.

Research on Improved Algorithms for Cone Bucket Detection in Formula Unmanned Competition.

The model network based on YOLOv8 for detecting race cones and buckets in the Formula Unmanned Competition for Chinese university students needs help with problems with complex structure, redundant number of parameters, and computation, significantly affecting detection efficiency. A lightweight detection model based on YOLOv8 is proposed to address these problems. The model includes improving the backbone network, neck network, and detection head, as well as introducing knowledge distillation and other techniques to construct a lightweight model. The specific improvements are as follows: firstly, the backbone network for extracting features is improved by introducing the ADown module in YOLOv9 to replace the convolution module used for downsampling in the YOLOv8 network, and secondly, the FasterBlock in FasterNet network was introduced to replace the fusion module in YOLOv8 C2f, and then the self-developed lightweight detection head was introduced to improve the detection performance while achieving lightweight. Finally, the detection performance was further improved by knowledge distillation. The experimental results on the public dataset FSACOCO show that the improved model's accuracy, recall, and average precision are 92.7%, 84.6%, and 91%, respectively. Compared with the original YOLOv8n detection model, the recall and average precision increase by 2.7 and 1.2 percentage points, the memory is half the original, and the model computation is 51%. The model significantly reduces the misdetection and leakage of conical buckets in real-vehicle tests and, at the same time, ensures the detection speed to satisfy the deployment requirements on tiny devices. Satisfies all the requirements for deployment of tiny devices in the race car of the China University Student Driverless Formula Competition. The improved method in this paper can be applied to conebucket detection in complex scenarios, and the improved idea can be carried over to the detection of other small targets.

Alcohol use disorder disrupts BDNF maturation via the PAI-1 pathway which could be reversible with abstinence.

The plasminogen activator inhibitor-1 (PAI-1)→mature brain-derived neurotrophic factor (mBDNF) pathway plays a pivotal role in the conversion of probrain-BDNF (ProBDNF) to mBDNF, but its clinical relevance in patients with alcohol use disorder (AUD) remains unknown. Enzyme-linked immunosorbent assays were used to examine the relevant protein levels of components of the PAI-1→mBDNF pathway in plasma samples from three groups of subjects, and statistical analysis was performed using analysis of variance (ANOVA) and one-way repeated-measures ANOVA. Our findings revealed significant alterations induced by alcohol. (1) AUD was associated with significant decreases in tissue plasminogen activator (tPA), mBDNF, and tropomyosin receptor kinase B (TrkB); significant increases in PAI-1, ProBDNF, and P75 neurotrophin receptor (P75NTR); and inhibited conversion of ProBDNF to mBDNF. (2) Following abstinence, the levels of tPA, mBDNF, and TrkB in the AUD group significantly increased, whereas the levels of PAI-1, ProBDNF, and P75NTR significantly decreased, promoting the conversion of ProBDNF to mBDNF. These clinical outcomes collectively suggest that AUD inhibits the conversion of ProBDNF to mBDNF and that abstinence reverses this process. The PAI-1→mBDNF cleavage pathway is hypothesized to be associated with AUD and abstinence treatment.

Sigmoid colon cancer presenting as a large abdominal mass accompanied by abscess and rupture: a case report and literature review.

Introduction and Importance: Colon cancer presenting as a large abdominal mass accompanied by abscess and rupture is rare and prone to be misdiagnosed and delayed. In addition, the treatment plan is not clear when combined with abdominal wall metastasis. Case Presentation: A 79-year-old woman presented with a large abdominal mass accompanied by abscess and rupture. It was misdiagnosed as a soft tissue infection in a local hospital, and after a comprehensive examination, it was diagnosed as sigmoid colon cancer with abdominal wall metastasis and abscess formation. The patient underwent a one-stage surgery, including en bloc resection of the tumor and invaded abdominal wall, as well as autologous tissue abdominal wall reconstruction, with a good clinical prognosis. Clinical Discussion: For the diagnosis of large abdominal masses, abdominal CT, and pus culture are more valuable than ultrasound. For colon cancer with abdominal wall metastasis, one-stage surgery to completely remove the tumor and full-thickness of the abdominal wall, and the use of autologous tissue abdominal wall reconstruction technology to repair defects is feasible. Conclusion: This case highlights the importance of using colon cancer as one of the differential diagnoses for the diagnosis for large abdominal mass accompanied by abscess and rupture in elderly patients, as well as the possibility of one-stage surgical resection of the tumor and invasion of the abdominal wall and reconstruction of the abdominal wall with autologous tissue when there is abdominal wall metastasis.

Co-adsorbed self-assembled monolayer enables high-performance perovskite and organic solar cells.

Self-assembled monolayers (SAMs) have become pivotal in achieving high-performance perovskite solar cells (PSCs) and organic solar cells (OSCs) by significantly minimizing interfacial energy losses. In this study, we propose a co-adsorb (CA) strategy employing a novel small molecule, 2-chloro-5-(trifluoromethyl)isonicotinic acid (PyCA-3F), introducing at the buried interface between 2PACz and the perovskite/organic layers. This approach effectively diminishes 2PACz's aggregation, enhancing surface smoothness and increasing work function for the modified SAM layer, thereby providing a flattened buried interface with a favorable heterointerface for perovskite. The resultant improvements in crystallinity, minimized trap states, and augmented hole extraction and transfer capabilities have propelled power conversion efficiencies (PCEs) beyond 25% in PSCs with a p-i-n structure (certified at 24.68%). OSCs employing the CA strategy achieve remarkable PCEs of 19.51% based on PM1:PTQ10:m-BTP-PhC6 photoactive system. Notably, universal improvements have also been achieved for the other two popular OSC systems. After a 1000-hour maximal power point tracking, the encapsulated PSCs and OSCs retain approximately 90% and 80% of their initial PCEs, respectively. This work introduces a facile, rational, and effective method to enhance the performance of SAMs, realizing efficiency breakthroughs in both PSCs and OSCs with a favorable p-i-n device structure, along with improved operational stability.

Comparative transcriptome profiling reveals the key genes and molecular mechanisms involved in rice under blast infection.

The aim of this study was to analyze the resistance genes and molecular mechanisms involved in rice blast infection. The contents of seven hormones and eight biochemical indicators in the leaves and spikes were at dynamic levels after inoculation with rice blast strains over time. The mRNA and protein expression of the six genes were consistent with the transcriptome analysis results. In addition, KEGG enrichment analysis showed that Os03g0132000, Os06g0215600, and Os06g0215500 were significantly enriched in the alpha-linolenic acid metabolism KEGG pathway, whereas Os05g0311801 was significantly enriched in the zeatin biosynthesis KEGG pathway. Furthermore, Os03g0180900 and Os09g0439200 were significantly enriched in the plant hormone signal transduction KEGG pathways. Therefore, blast infection could alter the hormones, biochemical indicators, and traits of rice. Moreover, genes including Os03g0132000, Os03g0180900, and Os05g0311801 were identified as rice blast resistance genes, and the mechanism might involve alpha-linolenic acid metabolism, zeatin biosynthesis, and plant hormone signal transduction KEGG pathways.

Research on Trajectory Planning of Autonomous Vehicles in Constrained Spaces.

This paper addresses the challenge of trajectory planning for autonomous vehicles operating in complex, constrained environments. The proposed method enhances the hybrid A-star algorithm through back-end optimization. An adaptive node expansion strategy is introduced to handle varying environmental complexities. By integrating Dijkstra's shortest path search, the method improves direction selection and refines the estimated cost function. Utilizing the characteristics of hybrid A-star path planning, a quadratic programming approach with designed constraints smooths discrete path points. This results in a smoothed trajectory that supports speed planning using S-curve profiles. Both simulation and experimental results demonstrate that the improved hybrid A-star search significantly boosts efficiency. The trajectory shows continuous and smooth transitions in heading angle and speed, leading to notable improvements in trajectory planning efficiency and overall comfort for autonomous vehicles in challenging environments.

Genome-Wide Identification and Analysis of Maize DnaJ Family Genes in Response to Salt, Heat, and Cold at the Seedling Stage.

DnaJ proteins, also known as HSP40s, play a key role in plant growth and development, and response to environmental stress. However, little comprehensive research has been conducted on the DnaJ gene family in maize. Here, we identify 91 ZmDnaJ genes from maize, which are likely distributed in the chloroplast, nucleus, and cytoplasm. Our analysis revealed that ZmDnaJs were classified into three types, with conserved protein motifs and gene structures within the same type, particularly among members of the same subfamily. Gene duplication events have likely contributed to the expansion of the ZmDnaJ family in maize. Analysis of cis-regulatory elements in ZmDnaJ promoters suggested involvement in stress responses, growth and development, and phytohormone sensitivity in maize. Specifically, four cis-acting regulatory elements associated with stress responses and phytohormone regulation indicated a role in adaptation. RNA-seq analysis showed constitutive expression of most ZmDnaJ genes, some specifically in pollen and endosperm. More importantly, certain genes also responded to salt, heat, and cold stresses, indicating potential interaction between stress regulatory networks. Furthermore, early responses to heat stress varied among five inbred lines, with upregulation of almost tested ZmDnaJ genes in B73 and B104 after 6 h, and fewer genes upregulated in QB1314, MD108, and Zheng58. After 72 h, most ZmDnaJ genes in the heat-sensitive inbred lines (B73 and B104) returned to normal levels, while many genes, including ZmDnaJ55, 79, 88, 90, and 91, remained upregulated in the heat-tolerant inbred lines (QB1314, MD108, and Zheng58) suggesting a synergistic function for prolonged protection against heat stress. In conclusion, our study provides a comprehensive analysis of the ZmDnaJ family in maize and demonstrates a correlation between heat stress tolerance and the regulation of gene expression within this family. These offer a theoretical basis for future functional validation of these genes.

Motor Fault Diagnosis Based on Convolutional Block Attention Module-Xception Lightweight Neural Network.

Electric motors play a crucial role in self-driving vehicles. Therefore, fault diagnosis in motors is important for ensuring the safety and reliability of vehicles. In order to improve fault detection performance, this paper proposes a motor fault diagnosis method based on vibration signals. Firstly, the vibration signals of each operating state of the motor at different frequencies are measured with vibration sensors. Secondly, the characteristic of Gram image coding is used to realize the coding of time domain information, and the one-dimensional vibration signals are transformed into grayscale diagrams to highlight their features. Finally, the lightweight neural network Xception is chosen as the main tool, and the attention mechanism Convolutional Block Attention Module (CBAM) is introduced into the model to enforce the importance of the characteristic information of the motor faults and realize their accurate identification. Xception is a type of convolutional neural network; its lightweight design maintains excellent performance while significantly reducing the model's order of magnitude. Without affecting the computational complexity and accuracy of the network, the CBAM attention mechanism is added, and Gram's corner field is combined with the improved lightweight neural network. The experimental results show that this model achieves a better recognition effect and faster iteration speed compared with the traditional Convolutional Neural Network (CNN), ResNet, and Xception networks.

Comparative Analysis of the Chemical Constituents of Chrysanthemum morifolium with Different Drying Processes Integrating LC/GC-MS-Based, Non-Targeted Metabolomics.

Chrysanthemum morifolium is a perennial herbaceous plant in the Asteraceae family that is used as a medicine and food owing to its superior pharmacological properties. Irrespective of its application, C. morifolium must be dried before use. Shade drying (YG) and heat drying (HG) are the two drying methods used in most origins. Given the abundance of flavonoids, phenolic acids, and terpenoids, the primary medicinal active constituents of C. morifolium, it is important to determine whether the composition and content of these compounds are altered during the drying processes. To test this, the changes in the chemical composition of C. morifolium flowers after YG and HG using full-spectrum, non-targeted LC/GC-MS-based metabolomics and, subsequently, the three indicator components of C. morifolium-chlorogenic acid, 3,5-dicaffeoylquinic acid, and luteolin-7-O-glucoside-were accurately quantified by HPLC. The results of the non-targeted metabolomics analysis revealed that YG- and HG-processed C. morifolium differed significantly with respect to chemical contents, especially flavonoids, phenolic acids, and terpenoids. The levels of the indicator components and their precursors also differed significantly between the YG and HG treatments. The contents of most of the flavonoids and key phenolic acids, terpenoids, and carbohydrates were higher with YG than with HG pre-treatment. These results revealed the changes in the chemical composition of C. morifolium during the YG and HG processes, thus providing a reference for the further optimization of the production and processing of chrysanthemums.

NSUN4-mediated m5C modification of circERI3 promotes lung cancer development by altering mitochondrial energy metabolism.

As a highly important methylation modification, the 5-methyladenosine (m5C) modification can profoundly affect RNAs by regulating their transcription, structure and stability. With the continuous development of high-throughput technology, differentially expressed circular RNAs (circRNAs) have been increasingly discovered, and circRNAs play unique roles in tumorigenesis and development. However, the regulatory mechanism of the m5C modification of circRNAs has not yet been revealed. In this study, circERI3, which is highly expressed in lung cancer tissue and significantly correlated with the clinical progression of lung cancer, was initially identified through differential expression profiling of circRNAs. A combined m5C microarray analysis revealed that circERI3 contains the m5C modification and that the NSUN4-mediated m5C modification of circERI3 can increase its nuclear export. The important function of circERI3 in promoting lung cancer progression in vitro and in vivo was clarified. Moreover, we elucidated the novel mechanism by which circERI3 targets DNA binding protein 1 (DDB1), regulates its ubiquitination, enhances its stability, and in turn promotes the transcription of peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) through DDB1 to affect mitochondrial function and energy metabolism, which ultimately promotes the development of lung cancer. This study not only revealed the reasons for the abnormal distribution of circERI3 in lung cancer tissues from the perspective of methylation and clarified the important role of circERI3 in lung cancer progression but also described a novel mechanism by which circERI3 promotes lung cancer development through mitochondrial energy metabolism, providing new insights for the study of circRNAs in lung cancer.

Voltage mapping and right ventriculography to guide ablation for arrhythmogenic right ventricular cardiomyopathy ventricular tachycardia: a case report.

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a family inherited cardiomyopathy associated with ventricular arrhythmias. With the development of molecular biology, histology, imaging, and other diagnostic techniques, the diagnosis rate and incidence of ARVC have gradually increased. However, ARVC remains rare in clinical practice. Currently, the diagnosis and management of ARVC is far from satisfactory in clinical practice. In the case report, we described a clinical case of radiofrequency ablation guided by voltage mapping and right ventriculography in the treatment of ARVC with ventricular tachycardia and discussed the relevant literatures.

Veno-venous extracorporeal membrane oxygenation-assisted treatment of severe airway stenosis due to goiter: Two case reports.

RATIONALE: Extracorporeal membrane oxygenation (ECMO) is a critical care intervention that acts as a temporary substitute for the heart and lungs, facilitating adequate tissue perfusion and gas exchange. The 2 primary configurations, veno-arterial and veno-venous ECMO, are tailored to support either the heart and lungs or the lungs alone, respectively. PATIENT CONCERNS: The case report details patients with tumor-induced airway stenosis who encountered limitations with standard treatments, which were either insufficient or carried the risk of severe complications such as hypoxia and asphyxia. DIAGNOSES: Patients were diagnosed with severe airway stenosis caused by goiter, a condition that required innovative treatment approaches to prevent complications during the management process. INTERVENTIONS: Veno-venous ECMO was implemented as a bridging therapy to provide vital respiratory support during the tumor resection procedure. This intervention was crucial in reducing the risks associated with airway edema or tumor rupture. OUTCOMES: With the use of veno-venous ECMO, the patients successfully underwent tumor resection. They were subsequently weaned off the ECMO support, and after a course of treatment, they were discharged in good condition. LESSONS: The case demonstrates the efficacy of veno-venous ECMO as a bridging therapy for managing severe airway stenosis caused by goiter. Its use facilitated the successful resection of tumors and led to positive patient outcomes, highlighting its potential as a valuable treatment option in similar scenarios.

Rapid detection of liver metastasis risk in colorectal cancer patients through blood test indicators.

Introduction: Colorectal cancer (CRC) is one of the most common malignancies, with liver metastasis being its most common form of metastasis. The diagnosis of colorectal cancer liver metastasis (CRCLM) mainly relies on imaging techniques and puncture biopsy techniques, but there is no simple and quick early diagnosisof CRCLM. Methods: This study aims to develop a method for rapidly detecting the risk of liver metastasis in CRC patients through blood test indicators based on machine learning (ML) techniques, thereby improving treatment outcomes. To achieve this, blood test indicators from 246 CRC patients and 256 CRCLM patients were collected and analyzed, including routine blood tests, liver function tests, electrolyte tests, renal function tests, glucose determination, cardiac enzyme profiles, blood lipids, and tumor markers. Six commonly used ML models were used for CRC and CRCLM classification and optimized by using a feature selection strategy. Results: The results showed that AdaBoost algorithm can achieve the highest accuracy of 89.3% among the six models, which improved to 91.1% after feature selection strategy, resulting with 20 key markers. Conclusions: The results demonstrate that the combination of machine learning techniques with blood markers is feasible and effective for the rapid diagnosis of CRCLM, significantly im-proving diagnostic ac-curacy and patient prognosis.