Objective To analyze the gene expression of patients with head and neck squamous cell carcinoma(HNSCC)using bioinformatics methods,identifying immune-related genes that impact prognosis and exploring new therapeutic targets for HNSCC.Methods This study was based on The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus database to download RNA sequencing data from HNSCC and non-tumor tissue samples.Differential expression gene analysis and weighted gene co-expression network analysis were performed respectively to screen immune-related genes.Univariate Cox regression,Lasso regression and multifactor Cox regression analyses were used to identify the genes significantly associated with HNSCC prognosis,and on this basis,the risk score of each TCGA sample was calculated and the correlation prognosis model was constructed.The sample was divided into high and low risk groups according to the median risk score.Gene differential expression analysis was performed in high and low risk groups to reveal gene expression changes under different immune states,and pathway enrichment analysis was performed for differential genes.Results Screening identified MS4A1,IL12RB2,DMBT1 and LTF as immune-related genes affecting the prognosis of HNSCC.Among them,MS4A1 and IL12RB2 were highly expressed in HNSCC,and DMBT1 and LTF were lowly expressed.Risk score of HNSCC death group was significantly higher than that of the survival group.Risk score could be used as an independent prognostic indicator for HNSCC.Differential genes in high and low risk groups were significantly enriched in immune response-regulating cell surface receptor signaling pathways.Conclusion MS4A1,IL12RB2,DMBT1 and LTF can be used for risk assessment,disease surveillance and efficacy evaluation of HNSCC.The immune response is crucial in the prognosis of HNSCC patients,and further studies are expected to drive the development of new therapeutic strategies.

Objective:To investigate the efficacy and safety of high-frequency irreversible electroporation (H-FIRE) in treating benign prostatic hyperplasia (BPH).Methods:This randomized controlled open-label multicenter clinical trial enrolled patients from nine medical centers in China between August 2020 and July 2022. Inclusion criteria: age 50–80 years, International Prostate Symptom Score (IPSS) ≥12, maximum urinary flow rate (Q max) >5 ml/min and ≤15 ml/min. Exclusion criteria: prostate malignancy, contraindications to surgery or anesthesia. Patients were randomized 1∶1 into the H-FIRE group (experimental) or the control group (daily oral 0.2 mg tamsulosin hydrochloride sustained-release capsules). Primary outcomes included Q max, IPSS, prostate volume, and International Index of Erectile Function-5 (IIEF-5) scores, measured at baseline, 1 and 3 months post-treatment. Results:A total of 160 cases were included in this study, including 80 cases in the experimental group and 80 cases in the control group, 30 cases in Renji Hospital, 7 cases in Qilu Hospital of Shandong University, 8 cases in Tongji Hospital, 3 cases in Hunan Provincial Hospital, 13 cases in Shanghai Pudong Hospital, 29 cases in Hwa Mei Hospital, 18 cases in Yiyuan County People's Hospital, and 38 cases in Shanghai East Hospital, and 14 cases in Sun Yat-sen Memorial Hospital. At 3 months of post-treatment, Q max in the experimental group increased by a median of 7.50 (3.55, 14.50) ml/s from the baseline value, whereas in the control group it increased by a median of 1.70 (-1.40, 6.00) ml/s, and the difference between the two groups was statistically significant ( P < 0.01, U = 1 083); and at 3 months of post-treatment, IPSS in the experimental group decreased by a median of 12.00 (7.00, 17.00) points in the test group and 6.00 (2.00, 11.00) points in the control group, and the magnitude of improvement in IPSS scores in the test group was significantly higher than that in the control group ( P < 0.01, U = 1 248); at 3 months of post-treatment, the prostate volume decreased by a median of 12.16 (5.69, 18.27) ml in the experimental group and 0 (-3.94, 6.89) ml in the control group, suggesting that H-FIRE significantly reduced prostate gland volume ( P<0.01, U=1 111). The difference in elevated IIEF-5 scores from baseline at 3 months of treatment between the experimental and control groups was not statistically significant[0(-2.00, 1.00) points vs. 0(-2.00, 1.50) points; P=0.54, U=2 338]. There were no serious adverse events in the two groups. Conclusions:H-FIRE could significantly improve both subjective and objective symptoms of BPH with a low risk of severe complications.

Objective:To investigate the short-term clinical efficacy of implantation with a 3D-printed microporous titanium prosthesis in the treatment of large segmental infectious tibial defects.Methods:A retrospective analysis was conducted of the electronic medical records of the 47 patients with large segmental tibial defects who had been treated with 3D-printed microporous titanium prostheses at Department of Orthopaedics, 920th Hospital of Joint Logistics Support Force from January 2019 to February 2024. The cohort included 36 males and 11 females, with an age of (46.2±11.8) years and a mean bone defect length of 12.3 (8.0, 16.8) cm. In the 19 patients complicated with soft tissue defects, the area of soft tissue defects ranged from 10.0 cm × 6.0 cm to 33.0 cm × 10.0 cm. For the 28 patients without soft tissue defects at the lower leg, the bone defects were filled with vancomycin-loaded calcium sulfate bone cement at the first stage; for the 19 patients complicated with soft tissue defects, the soft tissue defects at the lower limb were repaired using an anterolateral thigh flap with vascular anastomosis at the same time when bone defects were filled with vancomycin-loaded calcium sulfate bone cement at the first stage. After infection control at 2 to 8 months after surgery, individualized 3D-printed microporous titanium prostheses were implanted at the second stage to reconstruct the bone defects. Postoperative observations included the patients' first standing time, crutch walking time, full weight-bearing time, osseointegration of the tibial fracture and the prosthesis, and complications during follow-up.Results:The follow-up period for the 47 patients was (34.7±14.3) months. The first standing time was (2.2±0.6) months, crutch walking time (3.8±1.1) months, and full weight-bearing time (5.3±1.2) for this cohort. The evaluation by the Paley's bone healing score resulted in 25 excellent cases, 18 good cases, 1 medium case, and 3 poor cases, giving an excellent and good rate of 91.5% (43/47). One year after operation, the X-ray films showed that the tibial fractures and prostheses were well integrated in the 43 patients. Two patients developed recurrent tibial infection which was responded to replacement of the vancomycin-loaded calcium sulfate spacer. The fixation screws for tibial prosthesis were broken in one patient, but no recurrence of infection was observed after revision. The overall incidence of complications was 6.4% (3/47).Conclusion:In the treatment of large segmental infectious tibial defects, by facilitating rapid functional recovery and ensuring a low incidence of complications, implantation with a 3D-printed microporous titanium prosthesis demonstrates fine short-term clinical efficacy.

Objective:By analyzing the genetic risk of triglyceride-glucose index(Tyg)and insulin resistance(IR)for cardiovascular disease(CVD), to elucidate the extent to which the contribution of Tyg to the risk of CVD development is influenced by IR genetic risk.Methods:In this study, we selected data from a cohort of elderly people in the Kunshan community, screened 7, 385 individuals with both clinical and genomic data, and calculated the polygenic risk score of insulin resistance(IRPRS)for each participant based on publicly available IR genome-wide association data, and assessed the effect of genetic risk and Tyg level on the risk of developing CVD using a multivariate Cox proportional risk model.Calculating interactions to assess the effects of genetic risk and Tyg levels on the risk of developing CVD, the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD were assessed using a multivariate Cox proportional risk model, and subgroup analyses were performed for gender to assess the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD by gender.Results:In the univariate Cox model, Q3 and IRPRS with the highest TYG levels were significantly associated with the risk of CVD, respectively( HR=1.59, 95% CI: 1.33-1.89; P<0.001; HR=1.61, 95% CI: 1.18-2.20; P=0.003).After adjusting for multiple confounders, the Q3 Group with the highest TYG level was still significantly associated with the risk of CVD( HR=1.28, 95% CI: 1.05-1.57; P=0.014), the Association of TYG with the risk of CVD did not change significantly( HR=1.29, 95% CI: 1.05-1.57; P=0.014).We conducted a subgroup analysis by sex and found that among older men, 13, the highest levels of TYG and IRPRS were significantly associated with CVD risk, respectively( HR=1.70, 95% CI: 1.31.2.20; P<0.001; HR=1.98, 95% CI: 1.24-3.15; P=0.004).After adding IRPRS to the model, the Association of TYG with the risk of CVD remained unchanged( HR=1.69, 95% CI: 1.31-2.19; P<0.001).After adjusting for various confounders, Tyg remained significantly associated with the risk of CVD( HR=1.39, 95% CI: 1.04-1.88; P=0.028), the results showed that TYG remained significantly associated with the risk of CVD( HR=1.41, 95% CI: 1.05-1.90; P=0.023), and the association did not decrease.No Association of IRPRS with CVD risk was found in older women. Conclusions:IRPRS and TYG are the risk factors of CVD, and diet, exercise, drugs and other external factors on TYG are the main risk factors of CVD.For individuals with high genetic factors, the risk of CVD can still be reduced by lifestyle adjustments such as diet, exercise and drug intervention.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

According to the principle and current domestic and international construction processes of core outcome set(COS) and the characteristics of post-stroke aphasia, this study built COS with evidence-based support for traditional Chinese medicine(TCM) treatment of post-stroke aphasia. Firstly, a comprehensive review was conducted on the articles about the TCM treatment of post-stroke aphasia that were published in the four major Chinese databases, three major English databases, and three clinical registration centers over the past five years. The articles were analyzed and summarized, on the basis of which the main part of the COS for clinical research on the TCM treatment of post-stroke aphasia was formed. Secondly, clinical doctors and related nursing personnel were interviewed, and important outcome indicators in the clinical diagnosis and treatment process were supplemented to form a pool of core outcome indicators. Two rounds of Delphi surveys were carried out to score the importance of the core outcome indicators in the pool. Finally, a consensus meeting of experts was held to establish the COS for clinical research on the TCM treatment of post-stroke aphasia. The final COS included a total of 268 studies [236 randomized controlled trials(RCTs), 21 Meta-analysis, and 11 clinical registration protocols] and 20 open questionnaire survey results. After two rounds of Delphi surveys, a total of 14 outcome indicators and their corresponding measurement tools were included in the expert consensus meeting. The final expert consensus meeting determined the COS for post-stroke aphasia, which included 9 indicator domains and 12 outcome indicators.
Humans ; Aphasia/therapy* ; Stroke/complications* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Treatment Outcome

Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/analysis* ; Software ; Medicine, Chinese Traditional ; Quality Control

The quality of traditional Chinese medicine(TCM) is a critical foundation for ensuring the stability of its efficacy, as well as the safety and effectiveness of its clinical use. The identification of critical quality attributes(CQAs) is one of the core components of TCM preparation quality control. This study focuses on Jianwei Xiaoshi Tablets and explores their CQAs related to property and flavor from the perspective of taste receptor proteins. Three taste receptor proteins, T1R2, T1R3, and TRPV1, were selected, and a biosensor based on high-electron-mobility transistor(HEMT) was constructed to detect the interactions between Jianwei Xiaoshi Tablets and taste receptor proteins. Simultaneously, liquid chromatography-mass spectrometry(LC-MS) technology was used to analyze the chemical composition of Jianwei Xiaoshi Tablets. In examining the interaction strength, the results indicated that the interaction between Jianwei Xiaoshi Tablets and TRPV1 protein was the strongest, followed by T1R3, with the interaction with T1R2 being relatively weaker. By combining biosensing technology with LC-MS, 16 chemical components were identified from Jianwei Xiaoshi Tablets, among which six were selected as CQAs for sweetness and seven for pungency. Further validation experiments demonstrated that CQAs such as hesperidin and hesperetin had strong interactions with their corresponding taste receptor proteins. Through the combined use of multiple technological approaches, this study successfully determined the property and flavor-related CQAs of Jianwei Xiaoshi Tablets. It provides novel ideas and approach for the identification of CQAs in TCM preparations and offers comprehensive theoretical support for TCM quality control, contributing to the improvement and development of TCM preparation quality control systems.
Drugs, Chinese Herbal/chemistry* ; Biosensing Techniques/methods* ; TRPV Cation Channels/chemistry* ; Tablets/chemistry* ; Receptors, G-Protein-Coupled/genetics* ; Quality Control ; Taste ; Humans ; Mass Spectrometry