Subarachnoid hemorrhage(SAH)is a major subtype of stroke,characterized by high mortality and disability rates.Pyroptosis,a form of programmed cell death,has been identified as a key pathological process in early brain injury.Current research indicates that pyroptosis can occur in neurons,microglia,astrocytes,and cerebral vascular endothelial cells after SAH,leading to neurological dysfunction,brain edema,and disruption of the blood-brain barrier.The NOD-like receptor protein 3(NLRP3)inflammasome is regarded as a central regulatory component of pyroptosis,and its activation mechanisms and roles in various cell types have become focal points of research.A variety of therapeutic strategies targeting this pathway have emerged,including NLRP3 inhibitors,Caspase-1 inhibitors,and Gasdermin-D inhibitors.The aforemenetioned approaches all have demonstrated efficacy in animal studies.Additionally,novel technologies such as stem cell therapy,exosome therapy,and gas therapy offer novel intervention approaches for modulating pyroptosis.Although,various therapeutic strategies targeting pyroptosis-related pathways have emerged in recent years,a comprehensive summary remains absent.This article reviewed the advancements in pyroptosis research following SAH and associated treatment strategies,aiming to provide a theoretical foundation for subsequent mechanistic studies and clinical translation.

Subarachnoid hemorrhage(SAH)is a major subtype of stroke,characterized by high mortality and disability rates.Pyroptosis,a form of programmed cell death,has been identified as a key pathological process in early brain injury.Current research indicates that pyroptosis can occur in neurons,microglia,astrocytes,and cerebral vascular endothelial cells after SAH,leading to neurological dysfunction,brain edema,and disruption of the blood-brain barrier.The NOD-like receptor protein 3(NLRP3)inflammasome is regarded as a central regulatory component of pyroptosis,and its activation mechanisms and roles in various cell types have become focal points of research.A variety of therapeutic strategies targeting this pathway have emerged,including NLRP3 inhibitors,Caspase-1 inhibitors,and Gasdermin-D inhibitors.The aforemenetioned approaches all have demonstrated efficacy in animal studies.Additionally,novel technologies such as stem cell therapy,exosome therapy,and gas therapy offer novel intervention approaches for modulating pyroptosis.Although,various therapeutic strategies targeting pyroptosis-related pathways have emerged in recent years,a comprehensive summary remains absent.This article reviewed the advancements in pyroptosis research following SAH and associated treatment strategies,aiming to provide a theoretical foundation for subsequent mechanistic studies and clinical translation.

Objective:To investigate the metabolic profiles of hemangioma-derived endothelial cells (HemECs) based on untargeted metabolomics analysis.Methods:Primary human umbilical vein endothelial cells (HUVECs) served as the control group, and HemECs as the experimental group. Cellular metabolites were extracted and analyzed using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) for untargeted metabolomics analysis of HUVECs and HemECs. Bioinformatics analysis was employed to screen differentially expressed metabolites, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and metabolic pathway analysis. Univariate analysis including t test and fold change analysis, as well as multivariate analysis including unsupervised principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were carried out. Results:A total of 542 and 241 differential metabolites were identified between HemECs and HUVECs by using the positive and negative ion modes of UPLC-MS, respectively. In the positive ion mode, the differential metabolites were mainly lipids and lipid-like molecules (35.142%) as well as organic acids and derivatives (24.537%), while in the negative ion mode the differential metabolites were organic acids and derivatives (31.466%) as well as lipids and lipid-like molecules (28.879%). Annotation analysis of differential metabolites indicated that differential metabolites were mainly clustered and enriched in amino acid metabolic pathways in both positive and negative ion modes. KEGG metabolic pathway analysis revealed that 3 significantly differential metabolic pathways were screened out in the positive ion mode ( P < 0.05), including "arginine and proline metabolism","glutamic acid and glutamine metabolism" and "sphingolipid metabolism"; in the negative ion mode, 12 significantly differential metabolic pathways were screened out ( P < 0.05), including "arginine and proline metabolism", "tricarboxylic acid cycle", "glycine, serine and threonine metabolism", etc. Conclusion:There were significant differences in metabolic profiles between HemECs and HUVECs, and amino acid metabolism, especially arginine and proline metabolism, was an important metabolic pathway involved in the regulation of HemEC metabolism.

Objective:To investigate the relationship between the expression of CD103 +CD8 +T cells in locally advanced oral squamous cell carcinoma (LA-OSCC), and the response to neoadjuvant chemoimmunotherapy (NACI). Methods:Thirty LA-OSCC patients from the Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, who underwent NACI from June 2020 to December 2022 were analyzed, including 16 responders and 14 non-responders. Using multiple immunofluorescence technique to stain sections of patients to verify the correlation between the expression of CD103 +CD8 +T cells and the efficacy of NACI. CD103 +CD8 +T cell density was counted using Inform and HALO software. The Spearman correlation coefficient in rank correlation is used to describe the correlation between CD103 +CD8 +T cell and neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-lymphocyte ratio (PLR), systemic immune inflammation index (SII) It′s effectiveness as a predictive marker to NACI was analyzed by receiver operator characteristic (ROC) curve analysis and decision curve analysis (DCA). Two-tailed t-test or Mann-Whitney U-test was used to compare data between two groups, and one-way ANOVA was used to compare data between multiple groups. SPSS 22.0 and GraphPad prism 9.0 software were used for statistical analysis and plotting of relevant statistical graphs such as histograms. P<0.05 was considered a statistically significant difference. Results:The density of CD103 +CD8 +T cells has expanded in advanced OSCC patients who are responsive to NACI. The CD103 +CD8 +T cell densities in the responsive and nonresponsive groups were 118.30(41.92, 197.80) pcs/mm 2 and 21.63(4.91, 71.92) pcs/mm 2 respectively, with statistically significant differences( U=52.00, P=0.012). CD103 +CD8 +T cell abundance was negatively correlated with NLR, dNLR, PLR, and SII ( P<0.05). ROC curve analysis showed that the AUC for predicting efficacy of NLR, dNLR, PLR, and SII were 0.781 ( P=0.009, 95% CI: 0.5715-0.9910), 0.671 ( P=0.105, 95% CI: 0.467-0.881), 0.679 ( P=0.020 95% CI: 0.549-0.951), 0.750 ( P=0.096, 95% CI: 0.461-0.896), respectively. The AUC for CD103 +CD8 +T cells alone was 0.861 ( P=0.013, 95% CI: 0.585-0.950), and the AUC of combining CD103 +CD8 +T cells with NLR was 0.896 ( P=0.025, 95% CI: 0.454-0.938). Conclusions:The density of CD103 +CD8 +T cells is expanded in advanced OSCC patients who are responsive to NACI. CD103 +CD8 +T cells positively predict favorable responses as a strong indicator to NACI in advanced OSCC patients. Co-interpretation of CD103 +CD8 +T cells and NLR value enhances the predictive accuracy of NACI in advanced OSCC patients.

Objective:To investigate the impact of the deep learning reconstruction algorithm TrueFidelity TM for Gemstone Spectral Imaging (TF-GSI) and the adaptive statistical iterative reconstruction algorithm (ASiR-V, hereinafter referred to as ASiR-V) based on phantom and animal models on the image quality of dual-energy CT images. Methods:GE Revolution Apex CT was used to scan the ACR 464 phantom and a mouse model of gastric cancer with lymph node metastasis ( n=16). TF-GSI and ASiR-V were separately used to reconstruct middle and high-grade images (TF-GSI-M, TF-GSI-H, ASiR-V-50%, and ASiR-V-100%) on the phantom and mouse based on virtual monoenergetic images at 70 keV. The task transfer function (TTF) of bone and acrylic, image noise power spectrum (NPS), and detectability index (d′) of the phantom images were evaluated. One-way ANOVA analysis was used to compare the image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) for brain and liver on images of mice. The consistency of the two reconstruction-algorithm images (TF-GSI-H and ASiR-V100%) in the detection of small lesions by two radiologists (A and B) was evaluated using kappa test. Results:In terms of the phantom, the TF-GSI-H group had the best performance in TTF, NPS, and d′. Compared to ASiR-V-100%, the TTF50% of bone and acrylic in the TF-GSI-H group increased by 2.4% and 8.9%, respectively; the NPS peak decreased by 54.1%, compared to ASiR-V-100%; the d′ of bone and acrylic in the TF-GSI-H group relative to ASiR-V-100% increased by 52.7% and 59.5%, respectively. The TF-GSI group had reduced image noise compared to the ASiR-V group, and both SNR and CNR of the two tissues increased, but the differences between the groups were not statistically significant (all P>0.05). The two reconstruction-algorithm images showed good consistency in image evaluation by the two radiologists (A, Kappa=0.875, P<0.001; B, Kappa=0.625, P=0.012). In terms of the detection of micro-metastases in mice, the TF-GSI group outperformed the ASiR-V group (average accuracy: 83.5% vs 71.9%; average sensitivity: 77.8% vs 61.2%; average specificity: 85.7% vs 85.7%). Conclusion:Compared with iterative reconstruction algorithm, the DLIR algorithm showed improved spatial resolution, reduced image noise, and enabled detectability of micro-lesion for images from dual-energy CT.

CCAAT enhancer binding protein β (C/EBPβ), as a nuclear transcription factor necessary for the development of liver, airway epithelium, and adipose tissue, plays a vital role in physiological processes related to cell proliferation, apoptosis, and differentiation. However, the up-regulation of C/EBPβ activates signal pathways related to inflammatory response, epithelial-mesenchymal transition, cell proliferation and invasion, immune response, and angiogenesis by regulating a series of downstream genes transcription promotes the development of lung diseases. Therefore, targeting C/EBPβ may be a potential treatment strategy for lung diseases. This paper summarizes the regulatory effects of C/EBPβ and related signaling pathways in lung infection, asthma, chronic obstructive pulmonary disease, lung injury, pulmonary fibrosis, and lung cancer to provide a theoretical basis for the precision medicine of lung diseases.

Objective:To explore the value of bedside chest radiograph in the diagnosis and follow-up of severe and critical COVID-19.Methods:Twenty-nine patients with severe or critical COVID-19 were collected from January 23 to February 23, 2020，from four COVID-19 designated hospitals in Guangdong Province. Bedside radiography was taken in all the 29 patients, ranged from 1 to 16 times for each patient. Twenty-seven patients underwent follow-up, and the number of re-examination ranged 1 to 15 times, and the interval of review is 1 to 8 days.The imaging findings of bedside chest radiography and the imaging changes on follow-up chest radiography were analyzed retrospectively.Results:Twenty-nine patients were collected. The radiography showed the lesions involved all more than 3 lung fields. The films showed consolidation shadow in 19 cases, multiple patches of shadow in 23 cases, reticular pattern in 12 cases, strips shadow in 14 cases, interlobar fissure thickening in 18 cases, and "white lung" in 4 cases.The complications included pleural effusion in 4 cases, pneumothorax in 2 cases, mediastinal and subcutaneous emphysema in 1 case. The radiography showed the lesions progressed in 15 cases, with expanded involvement of the lung.The increase of lesion density was found in 6 cases, new lesions were noted in 5 cases, while both of them were found in 4 cases. Nine cases showed improvement, with reduced range and decreased density. Patchy or consolidation shadow turned to strips shadow or articular pattern shadow in 8 cases.There was no significant change in 3 cases with large consolidation shadow.Conclusions:Bedside chest radiography has a good value in the follow-up of severely and critically ill patients with COVID-19, and can provide great help for clinicians to evaluate their condition.

Objective To investigate the application value of intravoxel incoherent motion (IVIM) MRI for evaluating the sensitivity of chemoradiotherapy on nasopharyngeal carcinoma (NPC). Methods Sixty eight consecutive patients newly diagnosed with NPC in the stage of T3 (30 patients) or T4 (38 patients) were retrospectively enrolled. They were divided into effective group (45 patients) and poor?effective group (23 patients) clinically after a standard chemoradiotherapy according to the RECIST criteria. IVIM with 13 b?values (range,0 to 800 s/mm2) and general MRI were performed at 3.0 T MR scanner before and after chemoradiotherapy. Two radiologists major in MRI diagnose analyzed all images independently and placed regions of interest (ROIs). Intraclass correlation coefficient (ICC) was used to evaluate intra?observer and inter?observer agreement. And Mann?Whitney test was used to assess the differences between the two groups. Results The reproducibility between intra?observer and inter?observer was relatively good. Statistically,D [(0.69±0.06)×10?3 mm2/s vs. (0.52±0.10)×10?3 mm2/s; U=51.5,P<0.01)] and D* [(161.33 ± 11.50)×10-3 mm2/s vs. (126.96 ± 10.27)×10-3 mm2/s; U=18.0, P<0.01] were significantly higher in effective group than those in poor?effective group, whereas the difference of f (16.68 ± 1.94% vs. 16.40±1.11%, U=434.5, P=0.282) and ADC (1.23±0.11)×10?3 mm2/s vs. (1.25±0.10)×10?3 mm2/s,U=427.0,P=0.240) could not reach statistical significance between the 2 groups (P>0.05). Conclusions IVIM may be potentially useful in assessing the chemoradiotherapy on NPC. The higher D value combined with higher D*value might indicate the chemoradiotherapy on NPC is more sensitive,and the higher D*value might reflect increased blood vessel generation and parenchymal perfusion in NPC.

The plants of genus osmunda have abundant germplasm resource, which are widely distributed in the world. They have long been used for the treatment of viral, fugal and inflammation diseases. These plants have broad bioactivities and contain various chemical constituents such as flavonoids, esters and steroids. They also have high nutrition value, food value and ornamental value with composition of protein, lipids, carbohydrates, cellulose and trace elements (K, Ca, Mg, P, Fe, etc). The world wide research progresses of the genus osmunda on plant resources, chemical constituents, bioactivities in the past few decades were collected and summarized. This paper provided the evidences and references for further research and exploitment.

Some transcriptional regulators contribute to the expression of Streptococcus mutans (S. mutans) cariogenic virulence factors. Although the target sequence transcriptional regulators anchored on the cell wall and the molecular mechanism of the regulation of S. mutans are yet to be clarified, certain global regulators potentially associated with the cariogenicity of S. mutans have been identified. This review is about these related transcriptional regulators, their function, and possible mechanisms.
Gene Expression Regulation, Bacterial ; Myocarditis ; Streptococcal Infections ; Streptococcus mutans ; Transcription, Genetic ; Virulence ; Virulence Factors