BACKGROUND:During diabetic wound healing,the sustained activation of M1 macrophages exacerbates the inflammatory response and hinders wound repair.Auranofin,an anti-inflammatory drug,has not been clearly studied for its effects on M1 macrophages and its potential role in diabetic wound healing.OBJECTIVE:To investigate the effects of different concentrations of auranofin on the biological function of M1 macrophages and evaluate its potential application in diabetic wound healing.METHODS:RAW264.7 and THP-1 cells were used as research models.M1 polarization was induced using different concentrations of interferon-γ and lipopolysaccharide.M1 macrophages were treated with 1 and 2 μmol/L auranofin.Cell counting kit-8 assay was used to evaluate the effect of auranofin on cell viability.Quantitative real-time PCR was performed to detect mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.ELISA was employed to measure the levels of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the supernatant.Western blot analysis was used to assess the expression of nuclear factor-κB(p65),phosphorylated mitogen-activated protein kinases(MAPK),and total MAPK proteins.Additionally,6-8-week-old male C57BL/6J and db/db diabetic mice were used for wound healing experiments,with the mice divided into C57 control,db/db control and auranofin treatment groups,each containing six animals.Dorsal skin defect modeling and treatment with intraperitoneal injection of auranofin were performed to observe wound healing in mice.RESULTS AND CONCLUSION:(1)Cell experiments showed that co-treatment with interferon-y(10 ng/mL)and lipopolysaccharide(100 ng/mL)significantly induced M1 polarization in RAW264.7 and THP-1 cells,resulting in increased mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.Treatment with auranofin(1 and 2 μmol/L)reduced the mRNA expression of these inflammatory factors in the cells and inhibited the secretion of inflammatory factors in the cell supernatant.(2)Auranofin treatment significantly suppressed the activation of nuclear factor-κB(p65)and phosphorylated MAPK signaling pathways.(3)Animal experiments showed that auranofin promoted wound healing in db/db diabetic mice,suggesting that auranofin has strong anti-inflammatory effects and may facilitate the healing of wounds in diabetic mice.

BACKGROUND:During diabetic wound healing,the sustained activation of M1 macrophages exacerbates the inflammatory response and hinders wound repair.Auranofin,an anti-inflammatory drug,has not been clearly studied for its effects on M1 macrophages and its potential role in diabetic wound healing.OBJECTIVE:To investigate the effects of different concentrations of auranofin on the biological function of M1 macrophages and evaluate its potential application in diabetic wound healing.METHODS:RAW264.7 and THP-1 cells were used as research models.M1 polarization was induced using different concentrations of interferon-γ and lipopolysaccharide.M1 macrophages were treated with 1 and 2 μmol/L auranofin.Cell counting kit-8 assay was used to evaluate the effect of auranofin on cell viability.Quantitative real-time PCR was performed to detect mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.ELISA was employed to measure the levels of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the supernatant.Western blot analysis was used to assess the expression of nuclear factor-κB(p65),phosphorylated mitogen-activated protein kinases(MAPK),and total MAPK proteins.Additionally,6-8-week-old male C57BL/6J and db/db diabetic mice were used for wound healing experiments,with the mice divided into C57 control,db/db control and auranofin treatment groups,each containing six animals.Dorsal skin defect modeling and treatment with intraperitoneal injection of auranofin were performed to observe wound healing in mice.RESULTS AND CONCLUSION:(1)Cell experiments showed that co-treatment with interferon-y(10 ng/mL)and lipopolysaccharide(100 ng/mL)significantly induced M1 polarization in RAW264.7 and THP-1 cells,resulting in increased mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.Treatment with auranofin(1 and 2 μmol/L)reduced the mRNA expression of these inflammatory factors in the cells and inhibited the secretion of inflammatory factors in the cell supernatant.(2)Auranofin treatment significantly suppressed the activation of nuclear factor-κB(p65)and phosphorylated MAPK signaling pathways.(3)Animal experiments showed that auranofin promoted wound healing in db/db diabetic mice,suggesting that auranofin has strong anti-inflammatory effects and may facilitate the healing of wounds in diabetic mice.

Objective To explore the predictive performance of machine learning models integrating clinico-pathological features and inflammatory markers for lymphovascular invasion (LVI) before gastric cancer surgery. Methods A retrospective cohort of 193 gastric cancer patients from The First Hospital of Lanzhou University (training set) and 185 patients from Zhongshan Hospital, Fudan University (validation set) was included. Preoperative clinical pathological characteristics, tumor markers, and inflammatory markers were collected to identify independent risk factors for LVI. Six machine learning models were established in the training set. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and Brier scores. Shapley additive explanations (SHAP) was applied for model interpretability. Results The multivariate logistic regression showed increased tumor invasion depth (T-stage), lymph node metastases (N-stage), and the systemic immune-inflammation index (SII) were independent risk factors for gastric cancer LVI (P＜0.05). Using these three indicators, 6 machine learning models were developed, all of which demonstrated favorable predictive performance, with 0.79 and 0.76 of minimum AUC values in the training set and the validation set, respectively. Among them, the light gradient boosting machine (LightGBM) model exhibited the best overall performance, achieving AUCs of 0.83 and 0.82 in the training set and the validation set, along with Brier scores of 0.163 and 0.187, respectively. Calibration and DCA curves further confirmed that the model possesses strong predictive accuracy and application value. SHAP analysis showed the feature importance in LightGBM model, identifying the N-stage as the top contributor, followed by the T-stage and the SII. Conclusion The machine learning models incorporating clinical pathological features and inflammatory indicators can effectively predict LVI status in gastric cancer, with the LightGBM model demonstrating optimal performance.

Purpose To quantitatively compare the diffusion parameters of mono-and biexponential diffusion-weighted imaging models,and to obtain optimal sets of b-values in diffusion-weighted MRI for obtaining monoexponential apparent diffusion coefficient(ADC)close to perfusion-insensitive intravoxel incoherent motion(IVIM)model ADC(ADCIVIM)in identifying of pulmonary solid benign and malignant lesions.Materials and Methods IVIM was performed in 40 patients with solid nodule and masse in Xi'an Gaoxin Hospital from July 2021 to August 2022 using a 3.0T MR imager.Two experienced diagnostic radiologists subjectively evaluated the IVIM images.A single index model was used to calculate ADC values(ADC0-1 000,ADC20-1 000,ADC50-1 000,ADC80-1 000,ADC150-1 000,ADC300-1 000,ADC500-1 000,ADC300,500,1 000,ADC300,800,1 000,ADC300,500,ADC300,800 and ADC300,1 000).The reference standard ADCIVIM value were calculated using a double-exponential model.The physician's measurements between two physicians were measured.The malignant and benign groups were compared and receiver operator characteristic curve for all parameters were analyzed.Results The measurement consistency of ADC values under b value sets and ADCIVIM was very good,and the intraclass correlation coefficient was more significant than 0.75.The differences between ADCIVIM and ADC values in each b group were statistically significant(t=-6.016--2.500,all P<0.05).The area under the curve(AUC)of ADCIVIM was the largest(0.906),with an optimal threshold of 1.271×10-3 mm2/s,a sensitivity of 80.0%and a specificity of 93.0%.The diagnostic efficacy close to ADCIVIM were ADC300,800(AUC=0.891),ADC50-1 000(AUC=0.827)and ADC300,800,1 000(AUC=0.795),respectively.The optimal threshold of ADC300,800 was 1.140×10-3 mm2/s,the sensitivity and specificity were 80.0%and 93.7%,respectively.Conclusion Combining b-values 300 s/mm2 and 800 s/mm2 is recommended as routine scanning parameters for identifying the insensitive monoexponential ADC between benign and malignant solid pulmonary lesions.

Objective:To explore the clinical effect of fluid management strategy guided by lung ultrasound (LUS) during laparoscopic radical resection of colon cancer.Methods:A total of 96 patients with colon cancer diagnosed and treated in Suzhou Hospital Affiliated to Anhui Medical University (Suzhou Municipal Hospital) from November 2020 to April 2023 were retrospectively selected as the study objects, and they were divided into the control group and the study group by different treatment methods, with 48 cases in each group. Both groups underwent laparoscopic radical resection of colon cancer, the control group was given conventional fluid therapy during the operation, and the study group was given LUS-guided fluid therapy strategy. The fluid intake and outflow, postoperative rehabilitation, hemodynamic indexes and tissue perfusion indexes at different time points were compared between the two groups.Results:The intake of crystal and colloid in the study group were less than those in the control group: (1 039.84 ± 227.45) ml vs. (1 245.36 ± 241.87) ml, (598.63 ± 110.92) ml vs. (697.84 ± 135.21) ml, there were statistical differences ( P<0.05). The spontaneous breathing time and time to open eyes upon command in the study group were shorter than those in the control group: (14.26 ± 1.71) min vs. (16.30 ± 1.95) min, (19.32 ± 2.25) min vs. (22.86 ± 2.69) min, there were statistical differences ( P<0.05). At the end of surgery, the heart rate and mean arterial pressure in the study group were lower than those in the control group, while the cerebral oxygen saturation and central venous oxygen saturation were higher than those in the control group: (84.20 ± 7.19) beats/min vs. (87.41 ± 7.60) beats/min, (88.74 ± 7.21) mmHg (1 mmHg = 0.133 kPa) vs. (92.33 ± 7.65) mmHg, (76.33 ± 4.91)% vs.(73.15 ± 5.16)%,(81.16 ± 4.77)% vs.(79.16 ± 4.50)%, there were statistical differences ( P<0.05). Conclusions:The fluid therapy strategy guided by LUS can ensure adequate tissue perfusion, stabilize hemodynamics, and promote postoperative recovery.

AIM:To investigate the effects of electroacupuncture(EA)at"Qihai","Zhongji"and"Guanyuan"acupoints on urinary control function in rats with stress urinary incontinence(SUI)as well as to explore the mechanism of regulating ferroptosis.METHODS:A total of 50 Sprague-Dawley(SD)rats were randomly assigned to 5 groups.The rats in control(Con)group did not receive any treatment.The rats in model group was modeled for bilateral oophorectomy and vaginal dilation.The rats in EA group received EA treatment at"Qihai","Zhongji"and"Guanyuan"acupoints after modeling,while those in sham acupuncture(sham)group received EA treatment beside the specified acupoints after modeling.The rats in EA+solute carrier family 7 member 11(SLC7A11)inhibitor imidazole ketone erastin(IKE)group received an intraperitoneal injection of 50 mg/kg IKE and EA intervention after modeling.After the experiment,the uri-nary control indicators of leak point pressure(LPP),abdominal LPP(ALPP),and maximum bladder capacity(MBC)were measured for all rats.Hematoxylin-eosin(HE),Masson and Prussian blue staining was performed to observe the pathological changes and iron deposition in the urethral sphincter muscle.Enzyme-linked immunosorbent assay(ELISA)was performed to detect the mitochondrial functional indicators(mitochondrial membrane potential and ATP)and redox in-dicators:changes in the levels of reactive oxygen species(ROS),malondialdehyde(MDA),and glutathione(GSH).RT-qPCR,Western blot and immunofluorescence staining were performed to detect the expression of key iron death proteins.RESULTS:When compared with the Con group,the main urinary control indicators of MBC,LPP,and ALPP in the model group were significantly reduced(P<0.05),and the urethral sphincter fibers were broken and disordered,iron de-position was significant,and the proportion of muscle fibers was significantly reduced.The mitochondrial function indica-tors and GSH levels were significantly reduced(P<0.05),while the ROS intensity,Fe2+and MDA levels were significant-ly increased(P<0.05),the glutathione peroxidase 4(GPX4)and SLC7A11 mRNA protein expressions were significantly reduced(P<0.05),and the acyl-CoA synthetase long-chain family member 4(ACSL4)and transferrin receptor 1(TFR1)protein expressions were significantly increased(P<0.05).When compared with the model group,the main urinary con-trol indicators of the rats in the EA group were significantly improved(P<0.05).The urethral sphincter fibers breakage and disordered were attenuated,iron deposition was significantly reduced,and the proportion of muscle fibers was signifi-cantly increased.The mitochondrial function indicators and GSH levels were significantly increased(P<0.05),while the ROS intensity,Fe2+and MDA levels were significantly reduced(P<0.05).The mRNA and protein expressions of GPX4 and SLC7A11 were significantly increased(P<0.05),and the mRNA and protein expressions of ACSL4 and TFR1 were significantly reduced(P<0.05).When compared with the EA group,the above indicators in the EA+IKE group showed negative changes,and the difference was statistically significant(P<0.05).CONCLUSION:Treatment with EA at"Qi-hai","Zhongji"and"Guanyuan"acupoints improves urinary function in SUI,and the underlying mechanism may be relat-ed to ferroptosis mediated by the SLC7A11/GPX4 signaling pathway.

Purpose To compare the similarity between the short-axis left ventricular cavity fractional area change measured by cardiac magnetic resonance and myocardial circumferential strain.Materials and Methods Forty cases of cardiomyopathy with different phenotypes and high-quality cardiac magnetic resonance images in PACS data center of the Sixth Medical Center of Chinese PLA General Hospital were retrospectively selected.All patients underwent cine imaging on a 3.0T MRI scanner.The endocardial and epicardial areas of each short-axis left ventricular slice were measured using Medviso Segment software to calculate slice-level fractional area change and global fractional area change.Slice circumferential strain and global circumferential strain were measured using Circle CVI42 software.Linear regression analysis was performed to assess correlations between global circumferential strain and global fractional area change,as well as slice circumferential strain and slice-level fractional area change.Results Both global circumferential strain and global fractional area change,as well as slice circumferential strain and slice-level fractional area change,exhibited positive correlations(all r>0.95).Linear regression demonstrated significant relationships(regression coefficients:2.40-3.16,P<0.05),with coefficient magnitudes related to left ventricular cavity radius.After normalization,circumferential strain and fractional area change curves showed identical standard deviations.Conclusion Short-axis left ventricular cavity fractional area change and myocardial circumferential strain display significant positive correlations at both slice and global levels,with similar curve morphology.These findings suggest that circumferential strain and fractional area change possess comparable statistical value in assessing cardiac function.

Objective:To explore the clinical effect of fluid management strategy guided by lung ultrasound (LUS) during laparoscopic radical resection of colon cancer.Methods:A total of 96 patients with colon cancer diagnosed and treated in Suzhou Hospital Affiliated to Anhui Medical University (Suzhou Municipal Hospital) from November 2020 to April 2023 were retrospectively selected as the study objects, and they were divided into the control group and the study group by different treatment methods, with 48 cases in each group. Both groups underwent laparoscopic radical resection of colon cancer, the control group was given conventional fluid therapy during the operation, and the study group was given LUS-guided fluid therapy strategy. The fluid intake and outflow, postoperative rehabilitation, hemodynamic indexes and tissue perfusion indexes at different time points were compared between the two groups.Results:The intake of crystal and colloid in the study group were less than those in the control group: (1 039.84 ± 227.45) ml vs. (1 245.36 ± 241.87) ml, (598.63 ± 110.92) ml vs. (697.84 ± 135.21) ml, there were statistical differences ( P<0.05). The spontaneous breathing time and time to open eyes upon command in the study group were shorter than those in the control group: (14.26 ± 1.71) min vs. (16.30 ± 1.95) min, (19.32 ± 2.25) min vs. (22.86 ± 2.69) min, there were statistical differences ( P<0.05). At the end of surgery, the heart rate and mean arterial pressure in the study group were lower than those in the control group, while the cerebral oxygen saturation and central venous oxygen saturation were higher than those in the control group: (84.20 ± 7.19) beats/min vs. (87.41 ± 7.60) beats/min, (88.74 ± 7.21) mmHg (1 mmHg = 0.133 kPa) vs. (92.33 ± 7.65) mmHg, (76.33 ± 4.91)% vs.(73.15 ± 5.16)%,(81.16 ± 4.77)% vs.(79.16 ± 4.50)%, there were statistical differences ( P<0.05). Conclusions:The fluid therapy strategy guided by LUS can ensure adequate tissue perfusion, stabilize hemodynamics, and promote postoperative recovery.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Objective:To understand the factors influencing new infections of 9-valent vaccine-type human papillomavirus (9-valent type HPV) among men who have sex with men (MSM) in Urumqi City and to construct a prediction model of individual dynamics of new infections of 9-valent type HPV among MSM.Methods:In this study, a snowball method was adopted to recruit MSM in Urumqi City to establish a dynamic cohort, and participants were followed up every 6 months from 2016 to 2023, and perianal exfoliated cells were collected for HPV genotyping; joint models were established using the number of same-sex sexual partners in the last six months and the number of anal intercourse in the last one week as longitudinal variables, respectively, and joint models were utilized to analyze the influence factors of 9-valent HPV new infections in MSM individuals were analyzed by the joint model; the predictive efficacy of the model in the follow-up period was evaluated by using the time-dependent receiver operating characteristic area under the curve (AUC) values. Based on the prediction model, two study participants were randomly selected for individual dynamic prediction of new-onset HPV infections of 9-valent type types.Results:MSM with at least two follow-up visits 579 individuals were included in the analysis. The results of the two joint models showed that being divorced/widowed [hazard ratio ( HR)=1.544, 95% CI: 1.033-2.233], having a sexual behavior style of being the inserted party ( HR=1.366, 95% CI: 1.053-1.764), and having a history of STDs ( HR=1.659, 95% CI: 1.057-2.558) increased the 9-valent types of new HPV infections risk. The results of the shared parameter of the joint model of the number of same-sex partners in the last six months showed that each 2.72 increase in the number of same-sex partners in the last six months was associated with a 28.2% increase in the risk of new 9-valent HPV infections in MSM individuals ( HR=1.282, 95% CI: 1.065-1.540). The time-dependent AUC results showed that the joint model for the number of same-sex sexual partners in the last six months (0.808 0) predicted better performance than the joint model for the number of anal intercourse in the last one week (0.750 0). The joint model based on the number of same-sex sexual partners in the last six months for the prediction of MSM individual dynamics was consistent with the real situation. Conclusion:The joint model based on the number of same-sex sexual partners in the last six months, sexual behavior, history of STDs, and other risk factors has high accuracy in predicting the risk of new MSM 9-valent HPV infections in Urumqi City, which can provide a scientific basis for the prediction of individual dynamics of new MSM 9-valent HPV infections.