Objective: To investigate the effects of blood component transfusion on the prognosis of patients with varying severity of traumatic brain injury (TBI). Methods: A retrospective analysis was conducted on clinical data from 621 TBI patients admitted between January 2012 and December 2022. The patients in the blood transfusion group were categorized into three groups based on Glasgow Coma Scale (GCS) scores: severe impairment (GCS 3-8, n=302), moderate impairment (GCS 9-12, n=186), and mild impairment (GCS 13-14, n=133). General clinical data and laboratory test indexes were analyzed. Patients were further divided into two subgroups based on in-hospital mortality: death group (n=72) vs survival group (n=549). Univariate and multivariate logistic regression analysis was used to analyze the effects of different blood component transfusion volumes on the prognosis of TBI patients. ROC curve was used to evaluate the prognostic value of red blood cell transfusion volume. Results: Patients with GCS scores 3-8 had significantly longer hospital stays (21.73±15.89 vs 20.83±11.54 vs 15.5±7.76) and higher RBC transfusion volumes (6.16±6.79 vs 4.67±2.81 vs 3.67±3.20) than the other two groups (P<0.05). NLR, PCT, CRP, PT, Fib, FDP and DDI after the last transfusion showed significant differences from pre-transfusion values (P<0.05). The death group exhibited higher transfusion volumes of RBCs, plasma, platelets, and cryoprecipitate compared with the survival group (P<0.05). Univariate (OR: 1.541, 95%CI: 1.412-1.682) and multivariate (OR: 1.522, 95%CI: 1.362-1.700) logistic regression analyses showed that the RBC transfusion volume was a risk factor affecting the prognostic factors of TBI patients after infusion of blood components. ROC curve analysis showed that RBC transfusion volume could serve as a prognostic marker (sensitivity: 0.708, specificity: 0.812). Conclusion: Blood component transfusion alters inflammatory and coagulation markers in patients with different degrees of TBI, and RBC transfusion volume is a viable prognostic indicator for TBI outcomes.

OBJECTIVE To analyze the risk factors for multidrug-resistant organism （MDRO） infection in patients with prolonged invasive mechanical ventilation （IMV） complicated by ventilator-associated pneumonia （VAP） in the intensive care unit （ICU）， thus providing a reference for improving the clinical effect of VAP treatment in this region. METHODS A retrospective analysis was performed on the clinical data of patients who were admitted to the ICU in Shexian Branch of the Second Affiliated Hospital of Zhejiang University School of Medicine （hereinafter referred to as “our hospital”） from October 2022 to February 2025， received prolonged IMV， and developed VAP. The distribution and drug resistance of pathogens were statistically analyzed. Patients were divided into the MDRO group and the non-MDRO group according to whether an MDRO infection occurred. Univariate analysis and multivariate Logistic regression analysis were used to screen independent risk factors for MDRO infection. RESULTS A total of 281 pathogenic strains were cultured from 97 patients， including 262 Gram-negative bacteria （93.24%）， 9 Gram-positive bacteria （3.20%）， and 10 fungi （3.56%）. The main Gram-negative bacteria were Pseudomonas aeruginosa， Klebsiella pneumoniae subspecies pneumoniae， and Acinetobacter baumannii. The former two showed high resistance rates （all≥25%） to common antibiotics such as imipenem， while A. mail：64375689@qq.com baumannii demonstrated high resistance to most antimicrobial agents. The main Gram-positive bacteria were Staphylococcus aureus subspecies aureus and S. haemolyticus， which were resistant to multiple antibiotics such as clindamycin （resistance rates all＞30%）. Among 281 pathogenic strains， 121 were MDRO， 62 were resistant to carbapenems， and 33 produced extended-spectrum β-lactamases. The serum albumin＜28 g/L， ICU stay≥14 days， and use of benzodiazepines were independent risk factors for MDRO infection in patients with prolonged IMV and VAP in our hospital’s ICU （odds ratios were 3.289， 2.991 and 2.680， 95% confidence intervals were 1.183-9.144， 1.021-8.765， and 1.012- 7.094， respectively， P＜0.05）. CONCLUSIONS Pathogens infecting patients with prolonged IMV and VAP in the ICU are mainly Gram-negative bacteria， with P. aeruginosa， K. pneumoniae subspecies pneumoniae and A. baumannii， accounting for a high proportion， and the drug resistance situation is severe. Serum albumin＜28 g/L， ICU stay≥14 days， and use of benzodiazepines are independent risk factors for MDRO infection in such patients.

The activation proteins released by fibroblasts in the tumor microenvironment regulate tumor growth, migration, and treatment response, thereby influencing tumor progression and therapeutic outcomes. Owing to the proliferation and metastasis of tumors, fibroblast activation protein (FAP) is typically highly expressed in the tumor stroma, whereas it is nearly absent in adult normal tissues and benign lesions, making it an attractive target for precision medicine. Radiolabeled agents targeting FAP have the potential for targeted cancer diagnosis and therapy. This comprehensive review aims to describe the evolution of FAPI-based radiopharmaceuticals and their structural optimization. Within its scope, this review summarizes the advances in the use of radiolabeled small molecule inhibitors for tumor imaging and therapy as well as the modification strategies for FAPIs, combined with insights from structure-activity relationships and clinical studies, providing a valuable perspective for radiopharmaceutical clinical development and application.

OBJECTIVES: To investigate the role of ferroptosis in diquat-induced acute kidney injury (AKI) and its molecular mechanisms. METHODS: Transgenic zebrafish models with Tg (Eco.Tshb:EGFP) labeling of the renal tubules and Tg (lyz:dsRed2) labeling of the neutrophils were both divided into control group, gentamicin (positive control) group, diquat poisoning group, ferroptosis inhibitor group. The indicators of kidney injury, inflammatory response, and ferroptosis were examined in the zebrafish, and the changes in expressions of voltage-dependent anion-selective channel protein 1 (VDAC1) and mitochondrial ferritin (FTMT) were detected using Western blotting. RESULTS: AKI induced by diquat exhibited a significant dose-effect relationship, and the severity of injury was proportional to the exposure concentration. Diquat also caused marked oxidative stress and inflammatory responses in the zebrafish models. Rhodamine metabolism assay and HE staining revealed significantly declined glomerular filtration function of the zebrafish as diquat exposure concentration increased. Immunofluorescence staining highlighted significant changes in the expressions of ferroptosis markers GPX4 and FTH1 in zebrafish renal tissues following diquat exposure. In diquat-exposed zebrafish, treatment with ferrostatin-1, a ferroptosis inhibitor, obviously upregulated GPX4 and downregulated FTH1 expressions and improved the metabolic rate of glucan labeled with rhodamine B. Diquat exposure significantly upregulated the expression of VDAC1 and FTMT in zebrafish, and the application of ferrostatin-1 and VBIT-12 (a VDAC1 inhibitor) both caused pronounced downregulation of FTMT expression. CONCLUSIONS Ferroptosis is a critical mechanism underlying diquat-induced AKI, in which VDAC1 and FTMT play important regulatory roles, suggesting their potential as therapeutic target for AKI caused by diquat.
Animals ; Zebrafish ; Ferroptosis/drug effects* ; Acute Kidney Injury/chemically induced* ; Diquat/toxicity* ; Animals, Genetically Modified ; Voltage-Dependent Anion Channel 1/metabolism* ; Ferritins/metabolism* ; Oxidative Stress

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Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.

Objective:To explore the causal relationship between human immune cells and hypertrophic scar (HS) using two-sample bidirectional Mendelian randomization (MR) method.Methods:This study was based on two-sample MR method, and the datasets of 731 immune cells and HS were obtained from the genome-wide association study (GWAS) catalog database and Finngen database, respectively. A significance threshold was established to discern single nucleotide polymorphism (SNP) significantly correlated with immune cells or HS, thereby eliminating the impact of weak instrumental variable bias. The inverse variance weighted (IVW) method (meanwhile, the Benjamini-Hochberg (BH) procedure of false discovery rate (FDR) to adjust P values) was used for preliminary detection of the causal relationship between immune cells and HS and screen the immune cells that had a significant causal relationship with HS. Further, the causal relationship between the selected immune cells and HS was detected through five two-sample MR methods: IVW method, weighted median method, simple mode method, weighted mode method, and MR-Egger method, and the scatter plot was drawn. SNPs conformed to the hypothesis were subjected to Cochran Q test for heterogeneity assessment, MR-Egger regression coupled with MR-PRESSO to eliminate horizontal pleiotropic effects, and a leave-one-out analysis was also conducted to determine if significant results were driven by individual SNP. Finally, the IVW method contained in the two-sample MR analysis was utilized to inversely examine the causal relationship between HS and immune cells. Results:The number of SNPs in 731 immune cells reaching the significance threshold varied from 7 to 1 786, while in HS, 119 SNPs met the significance threshold, with the F values of all SNPs being greater than 10, suggesting a low likelihood of bias from weak instrumental variables. The IVW method revealed that 60 types of immune cells potentially had a causal relationship with HS (with all P values <0.05), and after adjustment using the BH method, only CD45RA and CD39 positive regulatory T cell (Treg) maintained a potentially strong causal relationship with HS ( PFDR<0.05). The IVW method (with odds ratio of 1.16 and 95% confidence interval of 1.08-1.24, P<0.05, PFDR<0.05), weighted median method (with odds ratio of 1.16 and 95% confidence interval of 1.05-1.28, P<0.05), weighted mode method (with odds ratio of 1.14 and 95% confidence interval of 1.02-1.27, P<0.05), and MR-Egger method (with odds ratio of 1.18 and 95% confidence interval of 1.07-1.30, P<0.05) of scatter plot all suggested a causal relationship between the 14 SNPs of CD45RA and CD39 positive Treg and risk of HS, only simple mode method of scatter plot suggested a not obvious relationship between the 14 SNPs of CD45RA and CD39 positive Treg and risk of HS ( P>0.05). Cochran Q test indicated no heterogeneity in the causal relationship between CD45RA on CD39 positive Treg and HS ( P>0.05). MR-Egger regression and MR-PRESSO analyses showed that there was no horizontal pleiotropy in the significant causal relationship between CD45RA and CD39 positive Treg and HS ( P>0.05). Leave-one-out analysis confirmed that the significant causal relationship between CD45RA and CD39 positive Treg and HS remained stable after sequentially removing individual SNP. Reverse two-sample MR analysis showed that HS had no potential causal relationship with any of the 731 types of immune cells ( P>0.05). Conclusions:From the perspective of genetics, it is revealed that immune cells CD45RA and CD39 positive Treg may increase the risk of HS.

Background and objective Current studies suggest that for early-stage lung cancers with a component of ground-glass opacity measuring ≤2 cm,sublobar resection is suitable if it ensures adequate margins.However,lobectomy may be necessary for some cases to achieve this.The aim of this study was to explore the impact of size and depth on surgical techniques for wedge resection,segmentectomy,and lobectomy in early-stage lung cancer ≤2 cm,and to determine methods for ensuring a safe resection margin during sublobar resections.Methods Clinical data from 385 patients with early-stage lung can-cer ≤2 cm,who underwent lung resection in 2022,were subject to a retrospective analysis,covering three types of procedures:wedge resection,segmentectomy and lobectomy.The depth indicator as the OA value,which is the shortest distance from the inner edge of a pulmonary nodule to the opening of the corresponding bronchus,and the AB value,which is the distance from the inner edge of the nodule to the pleura,were measured.For cases undergoing lobectomy and segmentectomy,three-dimensional computed tomography bronchography and angiography(3D-CTBA)was performed to statistically determine the number of subsegments required for segmentectomy.The cutting margin width for wedge resection and segmentectomy was recorded,as well as the specific subsegments and their quantities removed during lung segmentectomy were documented.Results In wedge resection,segmentectomy,and lobectomy,the sizes of pulmonary nodules were(1.08±0.29)cm,(1.31±0.34)cm and(1.50±0.35)cm,respectively,while the depth of the nodules(OA values)was 6.05(5.26,6.85)cm,4.43(3.27,5.43)cm and 3.04(1.80,4.18)cm for each procedure,showing a progressive increasing trend(P＜0.001).The median resec-tion margin width obtained from segmentectomy was 2.50(1.50,3.00)cm,significantly greater than the 1.50(1.15,2.00)cm from wedge resection(P＜0.001).In wedge resections,cases where AB value＞2 cm demonstrated a higher proportion of cases with resection margins less than 2 cm compared to those with margins greater than 2 cm(29.03％vs 12.90％,P=0.019).When utilizing the size of the nodule as the criterion for resection margin,the instances with AB value＞2 cm continued to show a higher proportion in the ratio of margin distance to tumor size less than 1(37.50％vs 17.39％,P=0.009).The median number of subsegments for segmentectomy was three,whereas lobectomy cases requiring segmentectomy involved five subsegments(P＜0.001).Conclusion The selection of the surgical approach for lung resection is influenced by both the size and depth of pulmonary nodules.This study first confirms that larger portions of lung tissue must be removed for nodules that are deeper and larger to achieve a safe margin.A distance of ≤2 cm from the inner edge of the pulmonary nodule to the nearest pleura may be the ideal indication for performing wedge resection.

OBJECTIVE To develop a high-throughput screening assay for the discovery of Omicron variant main protease(OM-Mpro) inhibitors based on the principle of fluorescence resonance energy transfer(FRET). METHODS The recombinant OM-Mpro enzyme was expressed in Escherichia coli Rosetta(DE3) cells, and further purified by a HisTrapTM chelating column. Subsequently, the enzymatic activity of OM-Mpro and wild type main protease(WT-Mpro) enzymes and inhibition of nirmatrelvir against both proteases were measured using FERT assay. With the FRET assay, OM-Mpro inhibitors were identified via high-throughput screening of an approved drug library. RESULTS The active OM-Mpro enzyme was successfully prepared from E. coli cells. OM-Mpro and WT-Mpro enzymes possessed the same enzymatic activity, and OM-Mpro remained susceptible to nirmatrelvir in vitro. Through high-throughput screening of the marketed drug library, it was found that cetylpyridinium chloride(CPC) is a mixed-type OM-Mpro inhibitor in vitro with an IC50 value of 8.76 μmol·L−1. CONCLUSION A robust FRET assay has been successfully developed based on the production of active OM-Mpro enzyme for screening of its inhibitors, and CPC is identified as a potential lead compound against OM-Mpro in vitro. This study provides a promising avenue for rapid discovery of broad-spectrum antivirals against coronavirus protease.

Objective:To evaluate the mechanical performance of customized metal prosthesis with tibia stems of varying lengths for tibial bone defects reconstruction.Methods:Morphologically matched postoperative finite element models of bone defect revision were developed, with three gradients (15 mm, 30 mm, and 45 mm) according to the degree of bone defect and were reconstructed with 3D printed tantalum metal prosthesis using three tibial stem lengths (80 mm, 120 mm, and 150 mm), respectively. Conventional static and dynamic (walking gait) loading was performed to analyze the peak tibial stress distribution and accumulated sliding distance at the prosthetic interface, and to assess the effects of the three tibial stems of different lengths on the stability of the customized tibial defect restorations and the internal tibial stress state.Results:The peak accumulated sliding distance of the dynamically loaded morphologically matched restorations ranged from 17.94 to 21.31 mm with static loading, which were 68% to 84.3% higher than those of 10.26 to 11.69 mm with static loading. The peak tibial stresses in the dynamically loaded model were greater than those in the statically loaded model, with an increase of 28%-49.2%, including 132.94-143.88 MPa in the statically loaded model and 170.41-200.14 MPa in the dynamically loaded model. The overall accumulated sliding distance of the tibia prosthetic model gradually decreased from the tibial osteotomy surface, and the accumulated peak sliding distances ranged from 10.26 to 11.69 mm for static loading, and from 17.94 to 21.31 mm for dynamic loading. The bone tissue stresses in the anterolateral and medial-posterior tibia increased gradually from top to bottom, and the maximum stress value in each section was in the posterior medial tibia (the maximum value was 200.14 MPa). The highest bone tissue stress in the lateral tibia was affected by the tibial stem length, which resulted in a different location, and it was the area most affected by stress shielding (maximum value of 170.65 MPa).Conclusion:For stability assessment of morphologically matched tantalum customized prosthesis, physiological gait dynamic loading studies are more reliable than static loading; the choice of tibial stem length depends on a combination of accumulated peak sliding distances and tibial bone stress distribution factors.