Objective To explore the characteristics of the inhibitory effect of Evodiamine on the proliferation of activated T cells. Methods Mononuclear cells from peripheral blood (PBMCs) were obtained from healthy donors through density gradient centrifugation, and T cells were subsequently purified by using immunomagnetic bead separation. T cell activation was induced by employing anti-human CD3 and anti-human CD28 antibodies. T cells were treated with different concentrations of EVO (0.37, 1.11, 3.33, and 10)μmol/L. Flow cytometry was applied to evaluate the proliferation index, apoptosis rate, viability, CD25 expression levels, and cell cycle distribution of T cells. The expression levels of cytokines IL-2, IL-17A, IL-4, and IL-10 were quantified by using ELISA. Results 1.11, 3.33 and 10 μmol/L EVO effectively inhibited the proliferation of activated T cells, with an IC₅₀ of (1.5±0.3)μmol/L. EVO did not induce apoptosis in activated T cells and affect the survival rate of resting T cells. EVO did not affect the expression of CD25 and the secretion of IL-2 in activated T cells. EVO arrested the T cell cycle at the G2/M phase, resulting in an increase in G2/M phase cells, and exhibited a concentration-dependent effect. EVO did not affect the secretion of IL-4, IL-10 by activated T cells, but significantly inhibited the secretion of IL-17A. Conclusion EVO did not significantly affect the activation process of T cells but inhibited T cell proliferation by arresting the cell cycle at the G2/M phase and significantly suppressed the secretion of the pro-inflammatory cytokine IL-17A, which suggests that EVO has the potential to serve as a lead compound for the development of low-toxicity and high-efficiency immunosuppressants and elucidates the mechanisms underlying the anti-inflammatory and immunomodulatory effects of the traditional Chinese medicine Evodia rutaecarpa.
Humans ; Cell Proliferation/drug effects* ; Quinazolines/pharmacology* ; T-Lymphocytes/metabolism* ; Lymphocyte Activation/drug effects* ; Apoptosis/drug effects* ; Interleukin-4/metabolism* ; Interleukin-10/metabolism* ; Interleukin-2 Receptor alpha Subunit/metabolism* ; Interleukin-17/metabolism* ; Interleukin-2/metabolism* ; Cell Cycle/drug effects* ; Cells, Cultured

Objective To investigate the safety and feasibility of the domestic SA-1000 single-port single-arm robot-assisted laparoscopic system in total hysterectomy.Methods Data from 16 patients who underwent total hysterectomy using the SA-1000 system at the Department of Obstetrics and Gynecology,The Second Affiliated Hospital of Naval Medical University,between Mar.2023 and Jan.2024 were retrospectively collected.Surgical parameters were analyzed.Postoperative pain was assessed using the visual analogue scale(VAS)at 24 h after surgery and before discharge.Incision cosmesis was evaluated 3-5 weeks postoperatively using the body image questionnaire(BIQ,score range 3-24).Results All 16 procedures were successfully completed using the SA-1000 system without conversion to open surgery,achieving a 100.0%procedural success rate.The mean whole surgery time was(234.40±56.24)min.The median robotic arm setup time was 8.0(4.0,13.5)min,and the median console operating time was 128.0(100.0,151.0)min.The median intraoperative blood loss was 100.0(100.0,200.0)mL.No perioperative complications,such as hemorrhage,infection,injury to adjacent organs(ureters,bladder,bowel),poor wound healing,or incisional hernia,were observed.The mean wound pain score at 24 h postoperatively was 3.81±1.64,decreasing to a median of 3.0(2.0,4.0)before discharge.The BIQ score assessed at 3-5 weeks postoperatively was 21.88±1.15.Conclusion The application of the domestic SA-1000 single-port single-arm robot-assisted laparoscopic system for total hysterectomy is safe and feasible,demonstrating favorable surgical outcomes.It holds promise for broader implementation and promotion in domestic medical centers.

Infectious keratitis (IK) is a leading cause of blindness worldwide, primarily resulting from improper contact lens use, trauma, and a compromised immune response. The pathogenic microorganisms responsible for IK include bacteria, fungi, viruses, and Acanthamoeba. This review examines standard therapeutic agents for treating IK, including broad-spectrum empiric antibiotics for bacterial keratitis (BK), antifungals such as voriconazole and natamycin for fungal infections, and antiviral nucleoside analogues for viral keratitis (VK). Additionally, this review discusses therapeutic agents, such as polyhexamethylene biguanide (PHMB), for the treatment of Acanthamoeba keratitis (AK). The review also addresses emerging drugs and the challenges associated with their clinical application, including anti-biofilm agents that combat drug resistance and nuclear factor kappa-B (NF-κB) pathway-targeted therapies to mitigate inflammation. Furthermore, methods of Photodynamic Antimicrobial Therapy (PDAT) are explored. This review underscores the importance of integrating novel and traditional therapies to tackle drug resistance and enhance drug delivery, with the goal of advancing treatment strategies for IK.

Based on current national policies, regulations, standards, relevant literature, and departmental experience regarding the protection against radionuclides in China, this study provides a brief overview of key issues in the management of hospital wards for patients with internal radionuclide contamination. The discussion covers the detection of internal contamination, general requirements for internal radionuclide contamination wards, and inpatient management. In addition, the study explores in depth the daily responsibilities, protective measures, and management protocols for both healthcare staff and patients within such wards. This article summarizes a framework for the construction of internal radionuclide contamination wards, along with specific plans and detailed role-based guidelines. These results provide a reference for the management of hospital wards for patients with internal radionuclide contamination.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

Objective We aimed to investigate the effects of different non-surgical embryo transfer devices,number of transferred embryos,embryo stage,and embryos obtained from different mouse strains on the efficiency of non-surgical embryo transfer in mice,and to compare the efficiencies of surgical and non-surgical embryo transfer,in order to establish a stable non-surgical embryo transfer technology system.Methods Mouse embryo transfer was carried out using non-surgical method.Results The pregnancy rates using two different non-surgical transfer devices were(75.00±0.00)％and(66.67±14.43)％,and the birth rates were(46.11±6.31)％and(18.89±0.96)％,respectively.Transfer of 10,15,and 20 embryos resulted in pregnancy rates of(66.67±11.55)％,(80.00±0.00)％,and(66.67±23.09)％,and birth rates of(29.33±4.16)％,(38.67±4.81)％,and(17.00±3.46)％,respectively.When blastocysts and morulae were transferred non-surgically,the resulting pregnancy rates were(80.00±0.00)％and(46.67±11.55)％and the birth rates were(38.67±4.81)％and(10.22±2.77)％,respectively.Four strains(C57BL/6J,ICR,genetically modified mice A,genetically modified mice B)were used as donors for non-surgical embryo transfer,with resulting pregnancy rates of(66.67±11.55)％,(80.00±0.00)％,(73.33±11.55)％,and(80.00±0.00)％,and birthrates of(26.67±2.67)％,(38.67±4.81)％,(32.00±3.53)％,and(29.34±2.31)％,respectively.Fifteen pseudo-pregnant mice were transplanted surgically and 15 were transplanted non-surgically,with pregnancy rates of(80.00±0.00)％and(86.67±11.55)％,and birth rates of(38.67±4.81)％and(36.00±5.82)％,respectively.Conclusions Transfer device A resulted in a higher birth rate in this study.The embryo transfer efficiency was higher when 15 embryos were transferred into unilateral uterine horns of pseudo-pregnant 2.5-day recipients.Blastocyst-stage embryo transfer was more efficient than morula-stage transfer.There was no significant difference in efficiency between surgical and non-surgical embryo transfer procedures.

Objective To develop and validate risk prediction models utilizing five machine learning algorithms for assessing postoperative pulmonary infection(PPI)risk in lung cancer patients undergoing grade Ⅳ thoracoscopic surgery.Methods A retrospective cohort study included 2,380 lung cancer patients who underwent grade Ⅳ thoracoscopic surgery at a tertiary hospital in Shanghai(January 2022 to June 2024).Patients were stratified into training(n=1,665)and validation(n=715)cohorts.Five machine learning algorithms—Logistic regression(LR),artificial neural network(ANN),support vector machine(S VM),random forest(RF),and extreme gradient boosting(XGB)—were employed to construct predictive models.A nomogram was developed for clinical utility.Results Among 2,380 patients,226(9.5％)developed PPI.The Least Absolute Shrinkage and Se-lection Operator(LASSO)regression identified eight predictive variables:daily cigarette consumption,diabetes history,preoperative diffusing capacity,maximal tumor diameter,24-hour postoperative chest drainage volume,perioperative oral nutritional supplementation(ONS),postoperative urinary cathe-terization,and intraoperative pleural adhesion severity.All models demonstrated robust discrimina-tion,with area under the curve(AUC)values ranging from 0.862 to 0.947.The XGB model a-chieved superior performance(AUC=0.947,95％CI,0.937 to 0.962),followed closely by the LR model(AUC=0.926,95％CI,0.918 to 0.933).Conclusion Machine learning-based algo-rithms models effectively stratify PPI risk in lung cancer patients following grade Ⅳ thoracoscopic surgery.The derived nomogram provides a practical tool for perioperative risk management by healthcare providers.

Ultra-high dose-rate (FLASH) radiotherapy is a new mode of radiotherapy that can control tumors while significantly reducing damage to surrounding normal tissues. Since its official naming in 2014, FLASH radiotherapy research has continued to grow, and in 2019 it entered a period of exponential development. Studies have shown that electrons, photons, and protons can all induce the FLASH effect, but the proton beam can overcome the physical limitations of shallow incident depth and high penetration dose, which is considered to be the most effective solution. This article summarizes previous research results of FLASH proton therapy from the research at the cell, animal and clinical levels, and summarizes the hypothesis of the FLASH effect mechanism, aiming to provide reference for promoting the research and clinical transformation of FLASH proton therapy.

Objective:To compare the relative proportion of direct action (ray particles directly destroy biological molecules such as DNA and indirect action (radical-mediated oxidative damage) in the damage caused by X-ray and proton irradiation of lung cancer cells.Methods:Unirradiated human lung adenocarcinoma A549 cells and human large cell lung cancer NCI-H460 cells were cultured in media containing 0, 0.125, 0.25, 0.5, 0.75 mol/L dimethyl sulfoxide (DMSO) for 1 h to obtain plating efficiency (PE) values, thereby determining whether DMSO affected cell survival. Following pretreatment with each DMSO concentration, cells were exposed to X-ray irradiation at physical doses of 2, 4, 6, 8 Gy and proton irradiation at equivalent doses of 2, 4, 6, 8 GyE, respectively. Survival fractions (SF) and maximum protection (MP) values were calculated to evaluate the effects of varying DMSO concentrations on post-irradiation cell survival and to quantify the contribution of indirect radiation damage mechanisms (higher MP indicates greater indirect effect contribution). PE, SF, and MP values were determined using clonogenic assays. Comparisons among multiple groups were performed using one-way ANOVA followed by Tukey's multiple comparison, and comparisons between irradiation groups were analyzed using independent samples t-tests. Results:The PE of unirradiated cells treated with varying DMSO concentrations showed no statistically significant differences. Following pretreatment at different DMSO concentrations and subsequent irradiation with X-rays or protons, the protective effect of DMSO reached saturation at 0.5 mol/L. At this concentration, comparison of the average MP values across 4 radiation doses revealed: In A549 cells, the MP value was 54.21%±1.73% for X-ray irradiation group and 39.69%±0.72% for proton irradiation group ( t=16.82, P<0.001); in NCI-H460 cells, the MP value was 52.04%±1.00% for X-ray irradiation group and 41.31%±0.70% for proton irradiation group ( t=10.19, P<0.001). Conclusions:Under biologically equivalent doses, proton irradiation demonstrates greater reliance on direct effects in lung cancer cells killing compared with X-ray irradiation.