Glioblastoma (GBM), one of the most common malignant tumors in the central nervous system (CNS), is characterized by diffuse and invasive growth as well as resistance to various combination therapies. GBM is the most prevalent type with the highest degree of malignancy and the worst prognosis. While current clinical treatments include surgical resection, radiotherapy, temozolomide chemotherapy, novel molecular targeted therapy, and immunotherapy, the median survival time of GBM patients is only about one year. Radiotherapy is one of the important treatment modalities for GBM, which relies on ionizing radiation to eradicate tumor cells. Approximately 60% to 70% of patients need to receive radiotherapy as postoperative radiotherapy or neoadjuvant radiotherapy during the treatment process. However, during radiotherapy, the radioresistant effect caused by DNA repair activation and cell apoptosis inhibition impedes the therapeutic effect of malignant glioblastoma.Ferroptosis was first proposed by Dr. Brent R. Stockwell in 2012. It is an iron-dependent mode of cell death induced by excessive lipid peroxidation. Although the application of ferroptosis in tumor therapy is still in the exploratory stage, it provides a completely new idea for tumor therapy as a novel form of cell death. Ferroptosis has played a significant role in the treatment of GBM. Specifically, research has revealed the key processes of ferroptosis occurrence, including intracellular iron accumulation, reactive oxygen species (ROS) generation, lipid peroxidation, and a decrease in the activity of the antioxidant system. Among them, glutathione peroxidase 4(GPX4) in the cytoplasm and mitochondria, ferroptosis suppressor protein 1 (FSP1) on the plasma membrane, and dihydroorotate dehydrogenase (DHODH) in the mitochondria constitute an antioxidant protection system against ferroptosis. In iron metabolism, nuclear receptor coactivator 4 (NCOA4) can mediate ferritin autophagy to regulate intracellular iron balance based on intracellular iron content. Heme oxygenase1 (HMOX1) catalyzes heme degradation to release iron and regulate ferroptosis. Radiation can trigger ferroptosis by generating ROS, inhibiting the signaling axis of the antioxidant system, depleting glutathione, upregulating acyl-CoA synthase long chain family member 4 (ACSL4), and inducing autophagy. Interestingly, some articles has documented that exposure to low doses of radiation (6 Gy for 24 h or 8 Gy for 4-12 h) can induce the expression of SLC7A11 and GPX4 in breast cancer and lung cancer cells, leading to radiation resistance, while radiation-induced ferroptosis occurs after 48 h. In contrast, high doses of ionizing radiation (20 Gy and 50 Gy) increase lipid peroxidation after 24 h. This suggests that radiation-induced oxidative stress is a double-edged sword that can regulate ferroptosis in both directions, and the ultimate fate of cells after radiation exposure——developing resistance and achieving homeostasis or undergoing ferroptosis——depends on the degree and duration of membrane lipid damage caused by the radiation dose. In addition, during the process of radiotherapy, methods such as inducing iron overload, damaging the antioxidant system, and disrupting mitochondrial function are used to target ferroptosis, thereby enhancing the radiosensitivity of glioblastoma. By promoting the occurrence of ferroptosis in tumor cells as a strategy to improve radiotherapy sensitivity, we can enhance the killing effect of ionizing radiation on tumor cells, thus providing more treatment options for patients with glioblastoma. In this paper, we reviewed ferroptosis and its mechanism, analyzed the molecular mechanism of radiation-induced ferroptosis, and discussed the effective strategies to regulate ferroptosis in enhancing the sensitivity of radiotherapy, with a view to providing an important reference value for improving the current status of glioblastoma treatment.

Mitral valve replacement is one of the most common heart valve surgeries in China. In recent years, with the increase in degenerative valve diseases, older patients, and the progress of anti-calcification technology of biological valves, the proportion of mitral valve biological valve replacement has been increasing year by year. After the damage of traditional mitral valve biological valves, re-operation of valve replacement with thoracotomy is required. However, the adhesion between the heart and sternum, as well as the damage caused by cardiopulmonary bypass and cardiac arrest, can cause significant trauma to elderly patients and those with multiple organ dysfunction, leading to increased mortality and complication rates. In recent years, interventional valve surgery, especially transcatheter valve-in-valve surgery, has developed rapidly. This procedure can correct the damaged mitral valve function without stopping the heart, but there are still many differences between its technical process and conventional aortic valve replacement surgery. Therefore, organizing and writing multicenter expert recommendations on the technical process of transcatheter valve-in-valve surgery for damaged mitral valve biological valves is of great significance for the training and promotion of this technology.

Multiple sclerosis (MS) is a neuroinflammatory demyelinating disease, mediated by pathogenic T helper 17 (Th17) cells. However, the therapeutic effect is accompanied by the fluctuation of the proportion and function of Th17 cells, which prompted us to find the key regulator of Th17 differentiation in MS. Here, we demonstrated that the triggering receptor expressed on myeloid cells 2 (TREM-2), a modulator of pattern recognition receptors on innate immune cells, was highly expressed on pathogenic CD4-positive T lymphocyte (CD4⁺ T) cells in both patients with MS and experimental autoimmune encephalomyelitis (EAE) mouse models. Conditional knockout of Trem-2 in CD4⁺ T cells significantly alleviated the disease activity and reduced Th17 cell infiltration, activation, differentiation, and inflammatory cytokine production and secretion in EAE mice. Furthermore, with Trem-2 knockout in vivo experiments and in vitro inhibitor assays, the TREM-2/zeta-chain associated protein kinase 70 (ZAP70)/signal transducer and activator of transcription 3 (STAT3) signal axis was essential for Th17 activation and differentiation in EAE progression. In conclusion, TREM-2 is a key regulator of pathogenic Th17 in EAE mice, and this sheds new light on the potential of this therapeutic target for MS.
Animals ; Humans ; Mice ; CD4-Positive T-Lymphocytes/pathology* ; Cell Differentiation ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Mice, Inbred C57BL ; Multiple Sclerosis ; Th1 Cells/pathology*

The organization of the brain follows a topological hierarchy that changes dynamically during development. However, it remains unknown whether and how cognitive training administered over multiple years during development can modify this hierarchical topology. By measuring the brain and behavior of school children who had carried out abacus-based mental calculation (AMC) training for five years (starting from 7 years to 12 years old) in pre-training and post-training, we revealed the reshaping effect of long-term AMC intervention during development on the brain hierarchical topology. We observed the development-induced emergence of the default network, AMC training-promoted shifting, and regional changes in cortical gradients. Moreover, the training-induced gradient changes were located in visual and somatomotor areas in association with the visuospatial/motor-imagery strategy. We found that gradient-based features can predict the math ability within groups. Our findings provide novel insights into the dynamic nature of network recruitment impacted by long-term cognitive training during development.
Child ; Humans ; Cognitive Training ; Magnetic Resonance Imaging ; Brain ; Brain Mapping ; Motor Cortex

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

The overall health condition of patients significantly affects the diagnosis,treatment,and prognosis of endodontic diseases.A systemic consideration of the patient's overall health along with oral conditions holds the utmost importance in determining the necessity and feasibility of endodontic therapy,as well as selecting appropriate therapeutic approaches.This expert consensus is a collaborative effort by specialists from endodontics and clinical physicians across the nation based on the current clinical evidence,aiming to provide general guidance on clinical procedures,improve patient safety and enhance clinical outcomes of endodontic therapy in patients with compromised overall health.

Breast cancer is the most diagnosed cancer in women worldwide and the leading cause of most cancer-related deaths,posing a serious threat to women′s health worldwide.At present,although the prognosis of some patients with breast cancer has improved,the emergence of drug resistance and the metastasis and recurrence of breast cancer are still the main reasons for poor prognosis.CD36 is a multiligand transmembrane glycoprotein expressed on various cell types.In recent years,studies have confirmed that CD36 can reshape the lipid metabolism of cancer cells;promote the differentiation of tumor-related macrophages into M2 type and recruitment into tumor tissues;regulate the function of Treg cells,CD8+T cells,DCs,and other immune cells,and thus promote tumor development.In addition,CD36 is also associated with breast cancer stem cells,metastasis-initiating cells,and breast drug resistant cells.Therefore,CD36 could be an important potential therapeutic target for breast cancer.

Objective To analyze the effects of probiotics combined with montmorillonite powder on intestinal mucosa and expressions of intestinal microorganism function-related genes in neonatal rats with rotavirus(RV)infection.Methods RV infection model was established by intragastric administration of SA11 strain rotavirus.Forty-eight suckling rats were randomly divided into normal group(0.9％NaCl),model group(0.9％NaCl),experimental group(0.06 g·mL-1 montmorillonite powder)and combined group(0.06 g·mL-1 montmorillonite powder+6.5 × 107 CFU·mL-1 Saccharomyces cerevisiae powder)with 12 rats in each group.The feces were collected for evaluation.The levels of serum tumor necrosis factor-a(TNF-a),interleukin-1 β(IL-1 β)and IL-17 were detected by enzyme-linked immunosorbent assay,the levels of aquaporin(AQP)in intestinal tissues was detected by real-time fluorescence quantitative polymerase chain reaction,and the counts of Bifidobacteria and Escherichia coli in feces were detected by bacterial 16srDNA fluorescence quantitative polymerase chain reaction.Results The feces scores in normal,model,experimental and combined groups were(1.01±0.10),(2.97±0.08),(2.84±0.03)and(2.77±0.03)points;TNF-α levels were(132.54±14.63),(185.66±19.64),(165.25±17.63)and(149.95±15.76)pg·mL-1;IL-1β levels were(172.32±18.68),(265.34±27.72),(202.34±21.34)and(186.24±19.46)pg·mL-1;IL-17 levels were(118.62±12.44),(173.24±18.25),(152.32±16.72)and(122.54±13.58)pg·mL-1;Bifidobacteria counts were(6.35±0.64),(4.31±0.44),(4.93±0.50)and(5.34±0.54)CFU·g-1;Escherichia coli counts were(6.14±0.62),(8.78±0.88),(8.46±0.85)and(8.12±0.83)CFU·g-1;mRNA levels of AQP2 were 1.02±0.05,0.72±0.07,0.89±0.08 and 1.21±0.12;mRNA expression levels of AQP4 were 1.04±0.07,0.42±0.05,0.78±0.08 and 1.19±0.12;mRNA expression levels ofAQP8 were 1.00±0.06,0.63±0.06,0.91±0.09 and 1.30±0.13,respectively.There were significant differences of above indexes between the model group with the normal,experimental and combined groups(all P＜0.05).Conclusion Montmorillonite powder combined with probiotics can improve fecal properties,reduce serum inflammatory factors and correct intestinal flora disorders in neonatal rats with RV infection,which may be related to improving the expressions of intestinal A QP2,AQP4 and AQP8.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

Objective To analyze the accuracy of the new generation intraocular lens(IOL)formula and the Wang-Koch(WK)adjustment in individuals with severe myopia undergoing combined anterior-posterior surgery.Methods A total of 100 patients(100 eyes)with axial length(AL)＞26 mm undergoing combined anterior and posterior segment surgery in our department from June 2015 to June 2021 were enrolled in this study.Totally 13 IOL calculation formulas,such as Barrett Universal Ⅱ(BU Ⅱ),Emmetropia Verifying Optical(EVO),Kane,Haigis,Hoffer Q,Holladay,and SRK/T as well as the first generation linear WK eye axis optimization formula(Haigis-WK1,SRK/T-WK1,Hoffer Q-WK1,Holladay 1-WK1)and the second generation linear WK eye axis optimization formula(SRK/T-WK2,Holladay 1-WK2),were utilized to determine IOL diopter.The mean prediction error(ME),mean absolute error(MAE),median absolute error(MedAE),and percentage of prediction error within different refractive thresholds were calculated to assess the accuracy of each formula.In order to investigate the impact of AL on accuracy of IOL calculation,the patients were categorized into group A(38 eyes,26.00 mm＜AL≤28.00 mm),group B(28 eyes,28.00 mm＜AL≤30.00 mm),and group C(34 eyes,AL＞30.00 mm).Additionally,the patients were also divided into silicone oil(63 eyes)and non-silicone oil(37 eyes)groups based on preoperative intraocular filling to determine the effect of intraocular filling on IOL calculation.Results The MedAE values of the new-generation IOL formulas(BU Ⅱ,EVO,and Kane)were significantly lower(0.34D,0.31D,0.35D)than those of traditional formulas(P＜0.05).Additionally,the percentage of prediction errors within±0.25 D,±0.50 D,±0.75 D,and±1.00 D were significantly higher with the new formulas when compared to traditional ones(P＜0.05).Traditional formulas exhibited a hyperopic deviation(0.35D～0.65 D),which could be corrected using the WK eye axis adjustment.WK2 was effective in improving the accuracy of calculation in SRK/T and Holladay 1 formulas,and there was no statistical difference in the MedAE values of SRK/T-WK2 and Holladay 1-WK2 formulas with the new-generation IOL formulas.When comparing the formulas across different axial eye length groups in terms of MedAE,the new IOL formulas(BU Ⅱ,kane and EVO)and WK-corrected formulas(Haigis-WK1,SRK/T-WK 1,SRK/T-WK2,Hoffer Q-WK1,Holladay 1-WK1,Holladay 1-WK2)showed no significant differences among the different AL groups.However,there were significant differences in the MedAE values of traditional formulas among the different AL groups(P＜0.01),with group C displaying the largest MedAE values(Haigis:0.84D,SRK/T:1.10D,Hoffer Q:1.23D,Holladay 1:1.20D).Comparing the MedAE values of different formulas in various preoperative intraocular filling groups,it was observed that the MedAE values of the new-generation IOL formulas(BU Ⅱ,kane and EVO),Haigis,and SRK/T formulas were significantly higher in the silicone oil-filled eye group than the non-silicone oil-filled eye group(P＜0.05).Conclusion In patients with high myopia undergoing combined anterior and posterior segment surgery,the precision and consistency of the new-generation IOL formulas and the second-generation linear WK axis correction formula exhibit significant improvements when compared to traditional formulas.