BACKGROUND:Osteoarthritis is now considered a metabolic disease.Previous studies have shown that glycolysis plays an important role in the occurrence and development of osteoarthritis.Compound 3k,as a novel small molecule inhibitor of glycolysis,has anti-inflammatory and anti-tumor effects.Therefore,it can target glycolysis and is expected to provide new ideas for the treatment of osteoarthritis. OBJECTIVE:To explore the role of Compound 3k in osteoarthritis caused by glycolytic overactivity based on the hypoxia-inducible factor 1 alpha(HIF-1α)/reactive oxygen species(ROS)pathway. METHODS:ATDC5 chondroblasts at logarithmic growth phase were taken to induce osteoarthritis in an in vitro cellular model by the action of 10 ng/mL interleukin-1β for 24 hours.The cytotoxicity of Compound 3k at different concentrations(0.25,0.5,1,2.5,5,10,15 &mu;mol/L)was detected by cell counting kit-8 assay,and the appropriate concentrations were selected for the subsequent experiments.The chondrocytes were randomly divided into control,model and treatment groups.The model group was induced with 10 ng/mL interleukin 1β,and the treatment group was pre-stimulated with Compound 3k for 2 hours and then co-cultured with interleukin 1β.The proliferation of the cells in each group was detected by the cell counting kit-8 assay;the inflammatory level of the cells in each group was detected by the ELISA kit;the ROS,extracellular lactate and glucose contents were detected using the kit;qRT-PCR and western blot were used to detect the levels of related inflammatory factors,interleukin-6 and tumor necrosis factor-α,glycolysis-related genes glucose transporter protein-1,glyceraldehyde 3-phosphate dehydrogenase,monocarboxylate transporter protein-1 and HIF-1α. RESULTS AND CONCLUSION:Compared with the control group,the model group showed a decrease in cell proliferative activity,active glycolysis level,manifested by an increase in extracellular lactate content(P<0.001)and a decrease in glucose content(P<0.001),interleukin-6(P<0.000 1)and tumor necrosis factor-α(P<0.001).The expression levels of glycolysis-related genes glucose transporter protein-1(P<0.001),glyceraldehyde 3-phosphate dehydrogenase(P<0.001),monocarboxylic acid transporter protein-1(P<0.001)and HIF-1α(P<0.001)in the model group were all up-regulated,accompanied by oxidative stress and overproduction of ROS.Compared with the model group,Compound 3k treatment effectively increased cell proliferation activity and inhibited the level of overactive glycolysis(P<0.001),while suppressing the expression of genes related to inflammation(P<0.001)and glycolysis in osteoarthritic chondrocytes,inhibiting oxidative stress,downregulating the expression level of HIF-1α(P<0.000 1)and decreasing the content of ROS.To conclude,Compound 3k inhibits interleukin-1β induced chondrocyte inflammation,and its mechanism may be related to glycolysis and HIF-1α/ROS mediated oxidative stress.

Esophageal carcinoma is a malignant disease with a high incidence rate and poor prognosis. The mitochondrial apoptosis pathway plays a pivotal role in the regulation of cell death and has become a focal point in current cancer therapeutics research. Various active components from traditional Chinese medicine （TCM） can target the mitochondrial apoptosis pathway to inhibit esophageal carcinoma， presenting as potential therapeutic agents for this disease. This paper summarizes relevant research on the inhibition of esophageal carcinoma by active components in TCM via targeting the mitochondrial apoptosis pathway. It has been found that flavonoids （casticin， icariin， luteolin， kaempferol， hesperetin， deguelin， etc.）， terpenoids （oridonin， Jaridonin， artesunate， ethyl acetate fraction of pleurotus ferulatus triterpenoid， etc.）， alkaloids （matrine， swainsonine， etc.）， polyphenols （curcumin， epigallocatechin-3-gallate， corilagin， etc.）， steroids （α-hederin， polyphyllin Ⅵ， etc.）， phenols （optimized scorpion venom peptide CT-K3K7， gecko active polypeptide， etc.）， volatile oils （cinnamaldehyde， α -asarone， etc.） and other active components from TCM can target the intrinsic mitochondrial apoptosis pathway， induce apoptosis in esophageal carcinoma cells， and inhibit their proliferation， invasion and migration by regulating oxidative stress， blocking the cell cycle， regulating signaling pathways such as PI3K/Akt and MAPK.

Objective To establish a rapid screening method for 34 emerging contaminants in surface water by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS).Methods The pretreatment conditions of solid phase extraction(SPE)were op-timized by orthogonal experimental design and the surface water samples were concentrated and ex-tracted by Oasis? HLB and Oasis? MCX SPE columns in series.The extracts were separated by Kine-tex? EVO C18 column,with gradient elution of 0.1%formic acid aqueous solution and 0.1%formic acid methanol solution.Q-TOF-MS'fullscan'and'targeted MS/MS'modes were used to detect 34 emerging contaminants and to establish a database with 34 emerging contaminants precursor ion,prod-uct ion and retention times.Results The 34 emerging contaminants exhibited good linearity in the con-centration range respectively and the correlation coefficients(r)were higher than 0.97.The limit of de-tection was 0.2-10 ng/L and the recoveries were 81.2%-119.2%.The intra-day precision was 0.78%-18.70%.The method was applied to analyze multiple surface water samples and 6 emerging contaminants were detected,with a concentration range of 1.93-157.71 ng/L.Conclusion The method is simple and rapid for screening various emerging contaminants at the trace level in surface water.

Objective To evaluate the effect of photo-activated disinfection(PAD)as a kind of adjuvant treatment on moderate to severe chronic periodontitis.Methods 21 patients with the chronic periodontitis(totally 218 selected sites)were randomly enrolled and divided into group A(minocycline hydrochloride),group B(PAD),group C(PAD + minocycline hydrochloride),and group D(no adjunctive therapy)for the adjunctive treatment after receiving the scaling and root planing(SRP).Periodontal indexs as probing depth(PD),bleeding on probing(BOP)and clinical attachment loss(CAL)were examined at the baseline,6 and 12 weeks after the treatment.Meanwhile,periodontal pathogens as Porphyromonas gingivalis(Pg)and Tannerella forsythia(Tf)from subgingival plaque of group A,B and C were detected by Real-time PCR.Results Compared with the baseline,the periodontal inflammations of all groups were improved signiffcantly at 6 and 12 weeks after the treatment(P<0.001),and group A,group B and group C were better than group D(P<0.001),group C was better than group A(P<0.001);Furthermore,the concentration of Pg and Tf was decreased significantly(P<0.001),and there was no difference among the three groups with adjunctive therapy.Conclussion As the adjunctive treatment of SRP,PAD could achieve the same and even better effect than minocycline hydrochloride ointment.

Objective To investigate the association between four single nucleotide polymorphisms(SNP)(rs9340 in MAPK1,rs14804 in NRAS,rs712 and rs7973450 in KRAS)in the 3'UTR of ERK1/2 signaling pathway-related genes and non-small cell lung cancer(NSCLC).Methods A total of 478 NSCLC patients and 480 healthy controls were enrolled in this study.Four SNPs were genotyped by using TaqMan assays.The association between the four SNPs and NSCLC was analyzed.Results The distribution frequency difference of the allele of rs9340 was statistically significant between the control group and the non-small cell squamous cell carcinoma(SCC)group(P = 0.009),suggesting that the G allele of rs9340 may be a protective factor for non-small cell lung squamous cell carcinoma(OR = 0.67,95%CI:0.50～0.91).In addition,in the<50 years age group,the distribution frequency difference of the allele of rs9340 was statistically significant between the control group and the NSCLC group(P = 5.07×10-4),indicating that the G allele of rs9340 may be a protective factor for NSCLC(OR = 0.46,95%CI:0.29～0.72).Conclusion The SNP rs9340 in MAPK1 may be associated with the risk of NSCLC.

Objective:To investigate the relationship between preoperative plasma fibrin degradation products (FDP) level and clinicopathological features of patients with completely resected non-small cell lung cancer (NSCLC).Methods:A retrospective case series study was performed. The clinical data of 521 patients who were pathologically diagnosed with NSCLC in Beijing Friendship Hospital Affiliated to Capital Medical University from January 2016 to December 2017 were retrospectively analyzed. Among 521 cases, 406 cases were postoperatively pathologically confirmed as non-lymph node and non-distant metastasis (non-metastasis group) and 115 cases were postoperatively pathologically confirmed as lymph node or distant metastasis (metastasis group). The preoperative FDP level and clinicopathological characteristics as well as the clinicopathological characteristics of NSCLC patients with different FDP levels were compared between the two groups. The correlation between preoperative FDP level and TNM staging was analyzed by using Spearman correlation analysis.Results:Among 521 NSCLC patients, 266 cases were female, 255 cases were male; the age [ M( Q1, Q3)] was 59 years (54 years, 65 years); 441 cases were adenocarcinoma and 70 cases were squamous cell carcinoma. The preoperative median FDP level was 2.78 mg/L (2.35 mg/L, 3.13 mg/L) and 2.99 mg/L (2.56 mg/L, 4.16 mg/L), respectively of NSCLC patients in non-metastasis group and metastasis group, and the difference was statistically significant ( Z = 6.13, P < 0.001). The preoperative FDP level was 2.56 mg/L (2.35 mg/L, 3.20 mg/L) and 2.99 mg/L (2.56 mg/L, 3.20 mg/L), respectively in the early-stage NSCLC (stage Ⅰ-Ⅱ) and advanced NSCLC (stage Ⅲ-Ⅳ) patients, and the difference was statistically significant ( Z = 8.42, P < 0.001). Spearman correlation analysis showed that preoperative FDP level was positively correlated with tumor diameter ( r = 0.287, P < 0.001). There was a positive correlation between preoperative FDP level and the number of metastatic lymph nodes in 115 patients with lymph node metastasis ( r = 0.679, P < 0.001). According to the preoperative median FDP (2.78 mg/L), all patients were divided into FDP ≤2.78 mg/L group and FDP >2.78 mg/L, and there were statistically significant differences in age, metastasis, tumor staging, tumor diameter, the metastatic number of lymph node and histological types of NSCLC patients in both groups (all P < 0.05). Conclusions:The increase of preoperative plasma FDP level may be related to the tumor metastasis and clinical stage of NSCLC patients

[摘 要] 目的：研究芳香烃受体（AHR）在乳腺癌中的表达及其对乳腺癌细胞增殖、凋亡和药物敏感性的调控机制。方法：通过GEPIA数据库数据分析乳腺癌组织及癌旁组织中AHR的表达水平，探讨其与患者生存期的关联。利用基因敲低和过表达技术构建AHR表达变化的乳腺癌细胞，采用CCK-8实验、细胞计数和流式细胞分析等方法评估AHR对细胞增殖、凋亡和药物敏感性的影响，通过免疫印迹法验证相关分子机制。此外，利用AHR激动剂6-甲酰基吲哚并[3,2-B]咔唑（FICZ）研究外源性激活AHR对乳腺癌细胞多柔比星（DOX）敏感性的影响。结果：GEPIA数据库数据分析结果显示，乳腺癌组织中AHR呈明显低表达（P < 0.05）；对155例乳腺癌患者的生存期进行统计分析也显示AHR低表达与不良预后呈正相关（P < 0.05）。敲低AHR促进细胞增殖（P < 0.05），过表达则能抑制其增殖（P < 0.05）并促进其凋亡（P < 0.05）。外源激活AHR能增强乳腺癌细胞对DOX的敏感性（P < 0.05）。AHR可与MYC基因启动子结合，抑制MYC表达（P < 0.05），从而影响乳腺癌的进展。结论：AHR在乳腺癌中通过调控MYC表达影响细胞增殖和凋亡，外源激活AHR可能成为提高乳腺癌细胞对DOX敏感性的治疗策略。

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.