OBJECTIVE To investigate the effects and potential mechanism of Panax notoginseng saponins （PNS） on gastric mucosal injury and inflammatory response in rats with chronic atrophic gastritis （CAG） via the stem cell factor（SCF）/cellular tyrosine kinase receptor（c-kit） signaling pathway. METHODS Male SD rats were used to establish a CAG rat model through intragastric administration of N -methyl- N ′-nitro- N -nitrosoguanidine combined with an irregular diet. Successfully modeled rats were randomly divided into a model group， positive control-vitacoenzyme group （Positive group， 250 mg/kg）， PNS low- and high-dose groups （PNS-L and PNS-H groups， 9， 18 mg/kg）， and high-dose PNS+SCF/c-kit inhibitor group （PNS-H+ISCK03 group， 18 mg/kg+47 mg/kg）， with 8 rats in each group. Additionally， 8 healthy rats were selected as a control group. After the final administration， the activities of serum gastrin （GAS）， motilin （MTL） and pancreatic polypeptide （PP）， as well as the levels of tumor necrosis factor-α （TNF-α）， interleukin-10 （IL-10）， and IL-8 in gastric mucosal tissues， were measured in each group. Pathological changes of the gastric mucosal and ultrastructure of the epithelial cells were observed， and gastric mucosal atrophy was scored. Cell apoptosis in gastric mucosal tissues and the expressions of proliferating cell nuclear antigen （PCNA）， nuclear factor-κB p65 （NF-κB p65）， SCF and c-kit were detected. RESULTS Compared with the control group， the model group showed significantly increased inflammatory cell infiltration in the gastric mucosal， extensive epithelial cell detachment， severe ultrastructural damage， and significantly elevated or up-regulated gastric mucosal atrophy score， TNF-α and IL-8 levels in gastric mucosal， cell apoptosis rate， and NF-κB p65 protein expression. Meanwhile， serum levels of GAS and MTL， PP activity， the level of IL-10 in gastric mucosal tissue， and protein expressions of PCNA and SCF， as well as the phosphorylation level of c-kit， were significantly decreased or down-regulated （ P ＜0.05）. Compared with the model group， Positive， PNS-L and PNS-H groups exhibited markedly improved pathological changes in the gastric mucosal and significant amelioration of the quantitative indicators， with the PNS-H group showing significantly better improvement than the PNS-L group （ P ＜0.05）. However， ISCK03 significantly reversed the ameliorative effects of high-dose PNS on the above indicators in rats （ P ＜0.05）. CONCLUSIONS PNS improves gastric mucosal injury in CAG rats by reducing the inflammatory response and promoting gastric mucosal repair； these effects may be related to the activation of the SCF/c-kit signaling pathway.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

Objective To design an 8-channel gene analyzer to take the place of the widely used gene analyzer with problems in inconvenient consumable replacement and short storage time of electrophoresis polymer.Methods The 8-channel gene analyzer had its mechanical components composed of an automatic sample loading table,a polymer injection module,a high-voltage temperature control module,an optical module and an integrated U box,its electrical control system made up of a host computer(an embedded computer)and three slave computers(a sampling control board,a polymer injection control board and a high-voltage temperature control board).The automatic sample loading table involved in four motors and transmission systems for x,y,z directions and optical alignment,the transmission systems adopted mainly belt drive mode and the optical alignment motor had its threads with an anti-backlash structure;the polymer injuection module was manipulated by the polymer injection control board,and the polymer block was made of highly transparent acrylic material;the high-voltage temperature control module realized the regulation of electrophoresis voltage and the detection of electrophoresis current by the low-ripple precision high-voltage power supply,and controlled the temperature of the heating furnace by the proportional-integral-differential(PID)algorithm;the optical module consisted of an excitation module and a light-receiving module,which had the base of the reflector made of low expansion coefficient alloy material;the integrated U box had the electrophoresis polymer,capillary array,polymer block and anode buffer in a plastic housing;the host computer had the data acquisition software programmed with C# and C++,and the slave computers were controlled by STM32 SCM.Results The 8-channel gene analyzer had no significant differences with the widely used ABI3500 gene analyzer in resolution,precision accuracy and clinical results.Conclusion The 8-channel gene analyzer gains advantages in consumable replacement and storage time of electrophoresis polymer,and can meet the requirements for gene sequencing.[Chinese Medical Equipment Journal,2025,46(2):24-30]

Objective:To explore the risk factors of pneumoconiosis complicated with pulmonary tuberculosis, to construct a clinical prediction model for patients with pneumoconiosis complicated with pulmonary tuberculosis, and to provide a scientific basis for the prevention of pneumoconiosis complicated with pulmonary tuberculosis.Methods:In January 2024, a total of 232 patients with pneumoconiosis (including coal workers' pneumoconiosis and silicosis) who were treated in the Department of Respiratory and Critical Care Medicine of the Third People's Hospital of Xinjiang Uygur Autonomous Region (Xinjiang Uygur Autonomous Region Occupational Disease Hospital) from January 2022 to January 2023 were randomly selected as the study subjects. Collectted basic patient information and diagnostic data. Multivariate logistic regression analysis was used to screen the risk factors related to pneumoconiosis complicated with pulmonary tuberculosis. According to the results of multivariate logistic regression analysis, a nomogram was established, and the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive ability.Results:Among the 232 patients with pneumoconiosis, 73 were complicated with pulmonary tuberculosis, accounting for 31.47% (73/232). Multivariate logistic regression analysis determined that dust exposure time, type of work, smoking history, and lung function level were all risk factors for pneumoconiosis complicated with tuberculosis ( OR=10.33, 95% CI=1.92~55.66, OR=5.43, 95% CI=1.91~15.44, OR=3.10, 95% CI=1.15~8.37, OR=4.00, 95% CI=1.62~9.87; P<0.05). The constructed nomogram model has good clinical applicability when the area under the receiver operating characteristic (ROC) curve is 0.77 [95% CI (0.69, 0.73) ], the calibration curve is close to the ideal diagonal, the absolute error between the simulation curve and the actual curve is 0.03, and the DCA decision curve shows that the probability threshold of the nomogram model is 1%-90%. Conclusion:The risk of pneumoconiosis complicated with tuberculosis is high, and the risk factors of dust exposure time, smoking history, type of work and lung function level are high. This nomogram model can be used to predict the risk of pulmonary tuberculosis in patients with pneumoconiosis, which is helpful for early intervention.

Aim To investigate the potential role and related mechanisms of protein phosphatase 2Cm(PP2Cm)overexpression in atorvastatin-induced insu-lin resistance.Methods Male C57BL/6J mice,fibro-blast growth factor 21 knockout(FGF21-KO)mice,and wildtype(WT)mice were raised for 12 weeks to construct models.Groups included atorvastatin,con-trol,atorvastatin+PP2Cm overexpression(OE),FGF21-KO+vehicle,FGF21-KO+PP2Cm OE,WT+vehicle,WT+PP2Cm OE.Body weight,fasting blood glucose levels,fasting insulin levels,and intraperitoneal glucose tolerance tests(IPGTT)were measured in 4,8 and 12 weeks.The concentrations of branched-chain a-mino acids(BCAA)in cells,tissues and serum,as well as the mRNA and protein expression of BCAA cat-abolic enzymes,were determined by qRT-PCR,Western blot and ELISA after atorvastatin treatment.Further-more,the effects of PP2Cm overexpression on these in-dicators were explored,and the FGF21 was verified in vivo and in vitro.Results Atorvastatin induced insu-lin resistance in mice,altered insulin,glucose tolerance and increased BCAA levels.PP2Cm overexpression mitigated these changes.In the Atorvastatin+PP2Cm OE group,FGF21 mRNA,protein and concentration were all significantly upregulated.Regardless of PP2Cm overexpression,the knockout of FGF21 signifi-cantly increased BCAA expression levels,both fasting insulin and blood glucose levels were significantly high-er than those in WT group.Conclusions FGF21 may be an important regulator of PP2Cm involved in atorv-astatin-induced insulin resistance.PP2Cm overexpres-sion alleviates the effects of atorvastatin-induced insulin resistance by regulating FGF21.

Objective:To investigate the prognostic value and safety of thoracic radiotherapy in patients with synchronous oligometastatic, driver gene-negative non-small cell lung cancer (NSCLC) receiving immune checkpoint inhibitors (ICIs) as first-line treatment.Methods:Data were retrospectively collected from 55 patients diagnosed with synchronous oligometastatic, driver gene-negative NSCLC who received first-line ICIs from January 2017 to March 2022. These patients were categorized into two groups based on the administration of thoracic radiotherapy: the thoracic radiotherapy group ( n = 27) and the non-thoracic radiotherapy group ( n = 28). Comparative analyses were conducted to evaluate survival outcomes and safety profiles between the two groups. Results:Among the 55 patients, 27 (49.1%) received thoracic radiotherapy. The median follow-up time was 37.0 months (2.2-76.7 months). Patients in the thoracic radiotherapy group exhibited significantly improved median overall survival (OS: 53.4 vs. 21.3 months, P = 0.049) and median progression-free survival (PFS: 13.6 vs. 8.3 months, χ2=4.11, P = 0.043) compared to those in the non-thoracic radiotherapy group. Multivariate Cox regression analysis identified thoracic radiotherapy as an independent prognostic factor for OS ( HR = 0.39, 95% CI: 0.17-0.90, P = 0.027) and PFS ( HR = 0.53, 95% CI: 0.28-0.99, P = 0.046). The most common grade 3 or higher toxicity was bone marrow suppression, occurring in seven patients (12.7%). There was no significant difference between both groups in the incidence of grade 3 or higher treatment-related adverse events, including pneumonitis. Conclusion:In patients with driver gene-negative, synchronous oligometastatic NSCLC, first-line immunotherapy combined with thoracic radiotherapy may improve survival outcomes without increasing the incidence of severe treatment-related adverse events. Further large-scale, randomized prospective trials are needed to verify the findings of this study.

OBJECTIVE To explore the application value of a diagnostic model based on machine learning and SHAP in the diagnosis of severe pneumonia caused by adenovirus infection in children.METHODS A total of 562 children with adenovirus infection who were admitted to Wuhan Third Hospital from Mar.2023 to Apr.2024 were selected and divided into a non-pneumonia group(n=236)and a pneumonia group(n=326).The pneumonia group was further divided into a training set(n=245)and a validation set(n=81)at a ratio of 3∶1.The training set was further categorized into a severe group(n=90)and a non-severe group(n=155)based on the severity of pneumonia.M ultivariate logistic regression analysis was used to identify the risk factors for severe pneumonia in children with adenovirus infection,and collinearity diagnosis was performed.Receiver operating characteristic(ROC)curves were used to validate the predictive performance of the model in both the training and validation sets,and the optimal model was selected.The optimal predictive model was interpreted using SHAP.RESULTS Compared with the non-pneumonia group,the pneumonia group had a high proportion of children aged＜2 years,with cough,wheezing,pulmonary consolidation,pleural effusion,mixed infections and allergic history,as well as long hospital stays and fever duration(P＜0.05).After univariate analysis and collinearity diagnosis to exclude confounding factors,the length of hospital stay(OR=1.112),fever duration(OR=1.964),wheezing(OR=2.430),pulmonary consolidation(OR=2.546),mixed infections(OR=2.617)and LDH level(OR=1.613)were identified as risk factors for severe pneumonia in children with adenovirus infection(P＜0.05).Among the eight machine learning models constructed based on these risk factors,the gradient boosting machine(GBM)model demonstrated the best performance in predicting severe pneumonia in children with adenovirus in-fection,with area under the curve(AUC)of 0.796 and 0.785 in the training and validation sets,respectively.SHAP analysis revealed that the top four contributing characteristics were LDH level,wheezing,fever duration and pulmonary consolidation.CONCLUSIONS The GBM model exhibits optimal performance in predicting the risk of severe pneumonia in children with adenovirus infection.Among the predictive characteristics,LDH level,wheezing,fever duration and pulmonary consolidation are significant,providing valuable reference for clinical di-agnosis and treatment.

OBJECTIVE: To explore the differences in clinical efficacy between enhanced workflows and express workflows in robotic-assisted total hip arthroplasty(THA). METHODS: A retrospective analysis was conducted on 46 patients who underwent robotic-assisted THA between November 2020 and May 2021. They were divided into the enhanced workflows group and the express workflows group based on the surgical methods. There were 20 patients in the enhanced workflows group, including 11 males and 9 females;aged from 51 to 78 years old with an average of (67.30±7.52) years old. The BMI ranged from 18.24 to 24.03 kg·m^-2 with an average of(23.80±3.01) kg·m^-2. There were 26 patients in the express workflows group, including 12 males and 14 females;aged from 57 to 84 years old with a mean age of (67.58±7.29) years old, and their BMI ranged from 19.72 to 30.08 kg·m^-2 with an average of (24.41 ±2.92) kg·m^-2. The operation time, hospital stay, and perioperative complications of the patients were recorded. The postoperative acetabular prosthesis anteversion angle, abduction angle, limb length, and offset distance data were measured. The Harris hip score at the latest follow-up was recorded. RESULTS: All patients completed the surgery as planned and were followed up, with the follow-up period ranging from 47 to 54 months with a mean of (49.78±1.85) months and the length of hospital stay ranging from 2 to 11 days with an average of (6.57±1.82 ) days. The operation time of enhanced workflows group was (93.41±16.41) minutes, which was longer than that of the express workflow groups (75.19±18.36) minutes, and the difference was statistically significant (P<0.05). In enhanced workflows group, the postoperative acetabular anteversion angle was (19.20±4.46)°, the limb length discrepancy was (-1.55±9.13) mm, and changes of the offset was (-5.15±6.77) mm. The corresponding values in express workflows group were (20.46±3.29)°, (2.19±4.39) mm, and (-2.39±4.34) mm, respectively. There was no statistically significant difference in these indicators between the two groups(P>0.05). One patient in the enhanced workflows group developed deep venous thrombosis after surgery. No cases of dislocation or periprosthetic infection. At the latest follow-up, all patients had well-positioned prostheses without loosening. Harris hip score was (90.50±1.67) points in enhanced workflows group and (90.73±2.36) points in the express workflows group, with no statistically significant difference between the two groups (P>0.05). CONCLUSION The clinical efficacy of robot assisted total hip arthroplasty technology is satisfactory. The enhanced workflows will increase the surgical time. For patients with normal anatomical hip joint disease, this study did not find significant advantages in joint stability and functional scoring for the enhanced workflows.
Humans ; Arthroplasty, Replacement, Hip/methods* ; Male ; Female ; Aged ; Middle Aged ; Robotic Surgical Procedures/methods* ; Retrospective Studies ; Aged, 80 and over ; Workflow ; Treatment Outcome

OBJECTIVE: To explore the safety and efficacy of high-dose etoposide (VP-16) combined with recombinant human granulocyte colony-stimulating factor (rhG-CSF) as salvage mobilization for peripheral blood stem cells (PBSC) in newly diagnosed multiple myeloma (NDMM) patients. METHODS: From April 2021 to May 2023, eight NDMM patients who had failed to yield sufficient PBSC during initial mobilization with high-dose cyclophosphamide (CTX) combined with rhG-CSF underwent salvage mobilization with 1.2 g/m2 etoposide combined with rhG-CSF 10 μg/(kg·d). The effects and adverse reactions of initial mobilization and salvage mobilization were analyzed. RESULTS: For salvage mobilization and initial mobilization, the numbers of PBSC collections were 16 and 18, respectively. The mean value of total collected CD34⁺ cells were (11.90±5.75)×10⁶/kg and (1.67±0.75)×10⁶/kg (P =0.0010) in salvage mobilization group and initial mobilization group, respectively. The proportion of patients with a total collection of CD34⁺ cell count≥2×10⁶/kg were 100% and 37.5% (P =0.0625), and the proportion of patients with a total collection of CD34⁺ cell count≥5×10⁶/kg were 87.5% and 0% (P =0.0156) in salvage mobilization group and initial mobilization group, respectively. For five patients who underwent high-dose CTX initial mobilization but had a total CD34⁺ cell count < 2×10⁶/kg, successful collection was achieved through salvage mobilization with high-dose VP-16. Salvage mobilization with high-dose VP-16 was scheduled 2-3 weeks after failure of CTX mobilization. Adverse reactions of high-dose VP-16 mobilization did not increase compared to the initial mobilization with high-dose CTX. CONCLUSION As a salvage mobilization regimen, VP-16 1.2 g/m² combined with rhG-CSF is safe and highly effective in NDMM patients who failed to initial mobilization with high-dose CTX combined with rhG-CSF.
Humans ; Multiple Myeloma/therapy* ; Etoposide/therapeutic use* ; Hematopoietic Stem Cell Mobilization/methods* ; Cyclophosphamide/therapeutic use* ; Granulocyte Colony-Stimulating Factor ; Salvage Therapy ; Peripheral Blood Stem Cells ; Male ; Middle Aged ; Female ; Peripheral Blood Stem Cell Transplantation

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged