ObjectiveTo establish a subcutaneous xenograft model of gastric cancer in nude mice and to identify differentially expressed genes （DEGs） affected by Jianpi Yangzheng Xiaozheng formula （JPYZXZ） in diffuse gastric cancer （DGC） using transcriptome sequencing. The study aims to identify potential key prognostic factors and preliminarily elucidate the therapeutic mechanism of JPYZXZ. MethodsSubcutaneous tumor tissues were collected from nude mice treated with JPYZXZ （6 g·kg^-1）and from the untreated traditional Chinese medicine control group. High-throughput RNA sequencing was performed to extract and analyze total RNA and identify DEGs， followed by functional enrichment analysis. DEGs were intersected with cancer-associated fibroblast （CAF）-related genes identified from single-cell RNA sequencing （scRNA-seq） data. A Cox proportional hazards regression model （Cox model） was constructed to identify potential key targets， among which DAZ interacting protein 1 （DZIP1） was selected. The role of DZIP1 in DGC progression was further verified through in vitro and in vivo experiments. ResultsTranscriptome sequencing revealed that DEGs regulated by JPYZXZ were significantly enriched in biological processes such as focal adhesion， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and vascular development （P<0.05）. Intersection analysis with CAF marker genes identified ten potential common target genes. Cox regression analysis combined with the Cancer Genome Atlas （TCGA） dataset for stomach adenocarcinoma （STAD） confirmed that DZIP1 is an independent prognostic factor significantly associated with poor outcomes. Transcriptome and immunohistochemical analyses showed that DZIP1 expression was significantly higher in gastric cancer tissues than in adjacent tissues， while JPYZXZ treatment downregulated DZIP1 expression in a dose-dependent manner. Clinical data further demonstrated that serum DZIP1 levels in patients treated with JPYZXZ were significantly lower than those in the control group. ConclusionJPYZXZ may inhibit the malignant progression of DGC by downregulating DZIP1 expression， thereby suppressing CAF activation and epithelial-mesenchymal transition （EMT）. These findings provide experimental evidence and identify DZIP1 as a potential therapeutic target in DGC treatment.

ObjectiveTo establish a subcutaneous xenograft model of gastric cancer in nude mice and to identify differentially expressed genes （DEGs） affected by Jianpi Yangzheng Xiaozheng formula （JPYZXZ） in diffuse gastric cancer （DGC） using transcriptome sequencing. The study aims to identify potential key prognostic factors and preliminarily elucidate the therapeutic mechanism of JPYZXZ. MethodsSubcutaneous tumor tissues were collected from nude mice treated with JPYZXZ （6 g·kg^-1）and from the untreated traditional Chinese medicine control group. High-throughput RNA sequencing was performed to extract and analyze total RNA and identify DEGs， followed by functional enrichment analysis. DEGs were intersected with cancer-associated fibroblast （CAF）-related genes identified from single-cell RNA sequencing （scRNA-seq） data. A Cox proportional hazards regression model （Cox model） was constructed to identify potential key targets， among which DAZ interacting protein 1 （DZIP1） was selected. The role of DZIP1 in DGC progression was further verified through in vitro and in vivo experiments. ResultsTranscriptome sequencing revealed that DEGs regulated by JPYZXZ were significantly enriched in biological processes such as focal adhesion， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and vascular development （P<0.05）. Intersection analysis with CAF marker genes identified ten potential common target genes. Cox regression analysis combined with the Cancer Genome Atlas （TCGA） dataset for stomach adenocarcinoma （STAD） confirmed that DZIP1 is an independent prognostic factor significantly associated with poor outcomes. Transcriptome and immunohistochemical analyses showed that DZIP1 expression was significantly higher in gastric cancer tissues than in adjacent tissues， while JPYZXZ treatment downregulated DZIP1 expression in a dose-dependent manner. Clinical data further demonstrated that serum DZIP1 levels in patients treated with JPYZXZ were significantly lower than those in the control group. ConclusionJPYZXZ may inhibit the malignant progression of DGC by downregulating DZIP1 expression， thereby suppressing CAF activation and epithelial-mesenchymal transition （EMT）. These findings provide experimental evidence and identify DZIP1 as a potential therapeutic target in DGC treatment.

Plain combined with three-phase contrast-enhanced CT is the most commonly used imaging technique for the diagnosis of renal masses, and it also plays an important role in predicting the malignancy and aggressiveness of renal tumors. The pathological findings of renal tumors are important in determining treatment options as well as prognosis. This article reviews current research and summarizes common CT variables for renal tumors, including tumor diameter, growth rate, enhancement characteristics, tumor margins, the proportion of cystic components, and variables related to the R. E.N.A.L. score. This paper aims to analyze the role of these variables in predicting the pathological malignancy and aggressiveness of the renal tumor.

Objective:Based on multi-parametric prostate magnetic resonance imaging (mpMRI) and related clinical indicators, a nomogram model for patients with PI-RADS ≥3 and PSA 4-20ng/ml was developed and validated, and the predictive value of the model in diagnosing clinically significant prostate cancer was evaluated.Methods:The clinical and pathological data of 865 patients who underwent ultrasound-guided transperineal prostate biopsy for the first time at the Department of Urology, Second Hospital of Tianjin Medical University from January 2020 to August 2023, with PI-RADS scores ≥3 and PSA levels between 4-20 ng/ml were retrospectively analyzed. These 865 patients were included in Cohort A, and from them, 437 patients with PHI were selected in Cohort B. In Cohort A, the median age was 68(64, 73); the median f/tPSA was 14.36 (10.63, 19.74); the median PSAD was 0.17(0.11, 0.25); 375 cases (43.35%) with PV≤50 ml and 490 cases (56.65%) with PV>50 ml; PSA fluctuation <-50% 84 cases (9.71%), -50%--20% in 206 cases (23.82%), and >-20% in 575 cases (66.47%); PI-RADS v2.1 3 scores 546 cases (63.12%), 4 in 230 cases (23.59%), and 5 in 89 cases (10.29%); localization of suspicious lesions on mpMRI in the peripheral zone in 619 cases (71.56%), transitional zone in 181 cases (20.92%), others in 42 cases (4.86%), and both peripheral and transitional zones in 23 cases (2.66%). In Cohort B, the median PSAD was 0.17 (0.12, 0.25); the median D-dimer was 310.00 (230.00, 411.48); the median PHI was 49.75 (35.90, 73.27); with 198 cases (45.31%) with PV≤50 ml and 239 cases (54.69%) with PV>50 ml; PSA fluctuation<-50% was in 40 cases (9.15%), -50%--20% in 107 cases (24.49%), and>-20% in 290 cases (66.39%); PI-RADS v2.1 scores 3 was in 289 cases (66.13%), 4 in 103 cases (23.57%), and 5 in 45 cases (10.30%).Patients in cohorts A and B were randomly assigned to the training set and validation set using R language with " 123" as the random number seed, at a ratio of 7∶3.There was no statistically significant difference between the clinical data of the training and validation sets for both groups ( P>0.05).Univariate and multivariate logistic regression analyses were used to identify independent risk factors for CsPCa, and a nomogram model was constructed using R. The diagnostic performance of the prediction model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis(DCA).External validation of the model was conducted in the validation set. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and missed diagnosis rate analyses were performed on nomogram models A and B, as well as PSAD and PHI, under different thresholds. Results:Cohort A training set has 608 cases, and the validation set has 257 cases.The results of multivariate backward regression analysis in the training set show that age( OR=1.06, P=0.001), f/tPSA( OR=0.96, P=0.008), prostate volume (PV)>50ml( OR=0.36, P<0.01), prostate-specific antigen density(PSAD)( OR=145.19, P<0.01), PSA fluctuation(-50%--20%: OR=1.97, P=0.234; >-20%: OR=6.81, P<0.01), PI-RADS v2.1 score(4: OR=10.65, P<0.01; 5: OR=21.20, P<0.01), and localization of suspicious lesions on mpMRI(TZ: OR=0.57, P=0.074; Others: OR=0.26, P=0.022) were all risk factors for CsPCa. Nomogram A was developed based on these risk factors and had an area under the ROC curve (AUC) of 0.905 (95% CI 0.881-0.928) for the training set and 0.893 (95% CI 0.854-0.931) for the validation set. Cohort B training set developed based on age( OR=1.05, P=0.053), PV>50ml( OR=0.18, P<0.01), PSAD( OR=54.14, P=0.021), PSA fluctuation(-50%--20%: OR=4.78, P=0.100; >-20%: OR=20.37, P=0.001), PHI( OR=1.02, P=0.002), D-Dimer( OR=1.00, P=0.031), and PI-RADS scores(4: OR=11.35, P<0.01; 5: OR=57.61, P<0.01) as risk factors for CsPCa. Nomogram B had an AUC of 0.933(95% CI 0.906-0.959) for the training set and 0.908 (95% CI 0.859-0.958) for the validation set.The two nomogram models mentioned above both have excellent discrimination, and the calibration curves also indicated that the calibration of the two models were good.Moreover, both nomogram A and nomogram B demonstrate good clinical net benefits in the DCA curves of the training and validation sets, especially when applying nomogram B to predict CsPCa, with an accuracy rate of up to 85.82%. Conclusions:The two nomogram models developed in study, based on mpMRI and related clinical indicators, both have excellent predictive value for the diagnosis of clinically significant prostate cancer prior to prostate biopsy in patients with PI-RADS≥3 and PSA 4-20ng/ml.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To evaluate the noise hazard level of a coal mining enterprise, and identify high-risk operation types and people, and to provide a basis for preventing and controlling the health damage caused by noise. Methods A large coal mining enterprise in Shaanxi Province was selected as the research object. The noise monitoring data of the coal mine over the years was used to calculate the noise exposure matrix of each post in the enterprise, and the classification of occupational hazards at workplaces (GBZ/T 229.4-2012) was used to assess the occupational health risk levels. Results Among the 22 noise-exposed positions in the enterprise, the 8-hour working day equivalent sound level in positions of shearer driver, horseshoe driver, crusher driver, shuttle driver, relaxation screen driver, and grading screen driver were all higher than the occupational exposure limit of noise. In 2021, the noise exposure levels of shearer drivers, crusher drivers, and coal-selecting workers were all higher than 90 dB (A), and the occupational hazard level was moderate hazard level. In addition, the noise exposure levels of most other jobs also exceeded the occupational exposure limit. Conclusion The noise hazards in the coal mine industry are mainly concentrated in the posts of the coal mining system, tunneling system, and screening workshop. Among them, the shearer driver, the crusher driver, and the coal preparation workers have higher noise exposure levels. It is recommended to take corresponding noise reduction measures and strengthen the protection level to reduce the noise exposure risk of workers.

Retzius-sparing robot assisted radical prostatectomy (RS-RARP) can significantly improve the immediate urinary continence without increasing the positive rate of surgical margin.However, the learning curve is long, and fewer than 10% of the surgeons can master it.Therefore,we have optimized the procedures of RS-RARP, applying radical prostatectomy with retrograde release of neurovascular bundle to preserve it to the maximum extent.Urethral anastomosis can be performed with only one suture, which eliminates the need for Hem-o-lok and reduces subsequent complications.Our team routinely carries out this operation, and conlcudes that this surgical method can achieve good tumor control, good urinary continence, fast recovery of sexual function, few complications, and strong operability.This article details the key steps and operation experience of this technique.

Medical mutual aid is an important component of multi-level medical security system. West China Second University Hospital of Sichuan University led the establishment of the pediatric specialty alliance " West China Women and Children Alliance". Based on customized and inclusive mutual insurance product " Family Doctor Mutual Aid Plan", the alliance implemented key links such as mutual aid product forms, patient risk protection, institutional financing and hematopoiesis, and distribution of benefits to all parties, explored innovative mutual aid funding, payment, and incentive mechanisms, forming a closed-loop pediatric tiered diagnosis and treatment service system with the Mutual Aid Plan as the core. This system operated continuously under the " Four-in-One" framework, stimulating the integration of medical insurance and service supply systems while enhancing the synergistic effect between mutual insurance and social security. It has formed a distinctive health-centered multi-level medical security system within the alliance, and could provide reference for the construction and exploration of hierarchical diagnosis and treatment system.

ObjectiveTo observe the effect of Jianpi Yangzheng Xiaozheng decoction （JYXD） on the proliferation and stemness of the human gastric cancer （GC） cell line HGC-27 by inhibiting aerobic glycolysis， and explore the underlying mechanism. MethodMethyl thiazolyl tetrazolium （MTT） assay was employed to determine the survival rate and chemotherapy sensitivity of HGC-27 cells treated with JYXD （0.25， 0.5， 1， 2， 4， 8， 16， 32 g·L^-1）. Colony formation assay was employed to detect the effect of JYXD （2， 4， 8 g·L^-1） on the colony formation of the cells. The aerobic glycolysis level of HGC-27 cells after treatment with JYXD was measured by glucose assay kit and lactic acid assay kit. The proportion of stem cell subsets in HGC-27 cells was detected by flow cytometry. Western blot was employed to determine the expression of glycolysis-associated proteins such as lactate dehydrogenase （LDH）， hexokinase 2 （HK2）， glucose transporter 1 （GLUT1）， and pyruvate kinase isozyme M2 （PKM2）， and the expression of stemness-associated proteins such as octamer-binding transcription factor 4 （OCT4）， SRY-box transcription factor 2 （SOX2）， and Nanog. ResultJYXD （0.5， 1， 2， 4， 8， 16， 32 g·L^-1） inhibited the activity of HGC-27 cells （P<0.05， P<0.01）， with the inhibitory concentration 50（IC₅₀） of 4.83 g·L^-1， and it improved the sensitivity of HGC-27 cells to cisplatin chemotherapy. Compared with the control group， JYXD （2， 4， 8 g·L^-1） reduced the colony formation number of HGC-27 cells （P<0.01） in a concentration-dependent manner. Flow cytometry showed that compared with that in the control group， the proportion of CD44⁺CD24⁺ALDH⁺ population in the cells treated with JYXD （2， 4， 8 g·L^-1） decreased （P<0.05）. In addition， JYXD （2， 4， 8 g·L^-1） inhibited the glucose uptake and lactic acid production of HGC-27 cells. Western blot showed that compared with the control group， JYXD （2， 4， 8 g·L^-1） down-regulated the expression levels of SOX2， Nanog， OCT4， PKM2， LDH， GLUT1， and HK2 （P<0.05， P<0.01） in a concentration-dependent manner. ConclusionJYXD may inhibit the proliferation and reduce the stemness of HGC-27 cells by regulating the aerobic glycolysis.

Oxidative stress, due to the disruption of the balance between reactive oxygen species (ROS) generation and the antioxidant defense system, plays an important role in the pathogenesis of rheumatoid arthritis (RA). Excessive ROS leads to the loss of biological molecules and cellular functions, release of many inflammatory mediators, stimulate the polarization of macrophages, and aggravate the inflammatory response, thus promoting osteoclasts and bone damage. Therefore, foreign antioxidants would effectively treat RA. Herein, ultrasmall iron-quercetin natural coordination nanoparticles (Fe-Qur NCNs) with excellent anti-inflammatory and antioxidant properties were constructed to effectively treat RA. Fe-Qur NCNs obtained by simple mixing retain the inherent ability to remove ROS of quercetin and have a better water-solubility and biocompatibility. In vitro experiments showed that Fe-Qur NCNs could effectively remove excess ROS, avoid cell apoptosis, and inhibit the polarization of inflammatory macrophages by reducing the activation of the nuclear factor-κ-gene binding (NF-κB) pathways. In vivo experiments showed that the swollen joints of mice with rheumatoid arthritis treated with Fe-Qur NCNs significantly improved, with Fe-Qur NCNs largely reducing inflammatory cell infiltration, increasing anti-inflammatory macrophage phenotypes, and thus inhibiting osteoclasts, which led to bone erosion. This study demonstrated that the new metal-natural coordination nanoparticles could be an effective therapeutic agent for the prevention of RA and other diseases associated with oxidative stress.