ObjectiveThis study aimed to investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through regulating ferroptosis， and to screen key metabolites and analyze their association with ferroptosis. MethodsClinical samples of normal endometrium from patients without EMs and eutopic and ectopic endometrium from EMs patients （10 cases each） were collected and divided into control group， eutopic group， and EMs group. Hematoxylin-eosin （HE） staining was performed to observe ectopic lesions of EMs. Immunohistochemistry was used to detect the expression of solute carrier family 7 member 11 （SLC7A11） and glutathione peroxidase 4 （GPX4）. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of malondialdehyde （MDA）， ferrous ion （Fe²⁺）， GPX4 and glutathione （GSH） in endometrial tissues， as well as serum levels of Fe²⁺， GPX4 and GSH. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of SLC7A11， GPX4， transferrin receptor （TFR） and ferritin heavy chain 1 （FTH1）. In the in vitro experiment， primary stromal cells were isolated from ectopic lesions of EMs patients. Cell counting kit-8 （CCK-8） was used to determine the optimal concentration of drug-containing serum for intervention. The level of reactive oxygen species （ROS） was measured， and Real-time PCR was applied to detect ferroptosis-related indicators. In the animal experiments， an EM rat model was established， and the rats were randomly assigned to the sham operation group， EMs group， low-dose Luoshi Neiyi Formula group （7.87 g·kg^-1）， high-dose Luoshi Neiyi prescription group （15.74 g·kg^-1）， and danazol group （42 mg·kg^-1）. Untargeted metabolomics detection and pathway enrichment analysis were conducted on serum samples from patients and rats. Spearman correlation analysis was performed to assess the relationship between differential metabolites and ferroptosis indicators. The correlations between differential metabolites in patient endometrium and serum and key ferroptosis indicators （GPX4， Fe²⁺， MDA， GSH） as well as ferroptosis-related mRNAs （GPX4， SLC7A11， FTH1） were analyzed， and correlation heatmaps were generated accordingly. ResultsCompared with normal eutopic endometrium， ectopic lesions in EMs patients showed glandular disorganization and stromal fibrosis. In ectopic endometrium， the contents of MDA， ROS， and Fe²⁺ decreased， while GPX4 level increased， and the mRNA expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. In serum， the levels of GPX4 and Fe²⁺ were elevated， whereas the GSH level declined， suggesting abnormalities in ferroptosis-related pathways in ectopic lesions （P<0.05， P<0.01）. After intervention with Luoshi Neiyi prescription-containing serum， the intracellular ROS level in ectopic endometrial stromal cells was elevated， the mRNA expression of SLC7A11 and GPX4 was downregulated， and TFR mRNA expression was upregulated （P<0.05， P<0.01）. Metabolomics analysis revealed 1104 and 198 differential metabolites in EMs patients and EMs rats， respectively， compared with their corresponding control groups， and both low-dose and high-dose Luoshi Neiyi prescription were found to regulate this metabolic disturbance， with the core regulatory pathways mainly involving arginine and proline metabolism. Correlation analysis showed that the glycerophospholipids including PI（16∶0/17∶0） and PI［18∶2（9Z，12Z）］ were negatively correlated with GPX4 and positively correlated with MDA， while 17α-hydroxyprogesterone was positively correlated with GPX4， SLC7A11， and FTH1 q<0.05）. ConclusionLuoshi Neiyi prescription may systematically ameliorate disease-associated metabolic dysregulation via modulation of the serum arginine and proline metabolism pathway， and may regulate ferroptosis in ectopic lesions through a mechanism potentially linked to the serum glycerophospholipid and steroid metabolism pathways. Collectively， these findings provide experimental evidence for the clinical application of Luoshi Neiyi prescription.

ObjectiveThis study aimed to investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through regulating ferroptosis， and to screen key metabolites and analyze their association with ferroptosis. MethodsClinical samples of normal endometrium from patients without EMs and eutopic and ectopic endometrium from EMs patients （10 cases each） were collected and divided into control group， eutopic group， and EMs group. Hematoxylin-eosin （HE） staining was performed to observe ectopic lesions of EMs. Immunohistochemistry was used to detect the expression of solute carrier family 7 member 11 （SLC7A11） and glutathione peroxidase 4 （GPX4）. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of malondialdehyde （MDA）， ferrous ion （Fe²⁺）， GPX4 and glutathione （GSH） in endometrial tissues， as well as serum levels of Fe²⁺， GPX4 and GSH. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of SLC7A11， GPX4， transferrin receptor （TFR） and ferritin heavy chain 1 （FTH1）. In the in vitro experiment， primary stromal cells were isolated from ectopic lesions of EMs patients. Cell counting kit-8 （CCK-8） was used to determine the optimal concentration of drug-containing serum for intervention. The level of reactive oxygen species （ROS） was measured， and Real-time PCR was applied to detect ferroptosis-related indicators. In the animal experiments， an EM rat model was established， and the rats were randomly assigned to the sham operation group， EMs group， low-dose Luoshi Neiyi Formula group （7.87 g·kg^-1）， high-dose Luoshi Neiyi prescription group （15.74 g·kg^-1）， and danazol group （42 mg·kg^-1）. Untargeted metabolomics detection and pathway enrichment analysis were conducted on serum samples from patients and rats. Spearman correlation analysis was performed to assess the relationship between differential metabolites and ferroptosis indicators. The correlations between differential metabolites in patient endometrium and serum and key ferroptosis indicators （GPX4， Fe²⁺， MDA， GSH） as well as ferroptosis-related mRNAs （GPX4， SLC7A11， FTH1） were analyzed， and correlation heatmaps were generated accordingly. ResultsCompared with normal eutopic endometrium， ectopic lesions in EMs patients showed glandular disorganization and stromal fibrosis. In ectopic endometrium， the contents of MDA， ROS， and Fe²⁺ decreased， while GPX4 level increased， and the mRNA expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. In serum， the levels of GPX4 and Fe²⁺ were elevated， whereas the GSH level declined， suggesting abnormalities in ferroptosis-related pathways in ectopic lesions （P<0.05， P<0.01）. After intervention with Luoshi Neiyi prescription-containing serum， the intracellular ROS level in ectopic endometrial stromal cells was elevated， the mRNA expression of SLC7A11 and GPX4 was downregulated， and TFR mRNA expression was upregulated （P<0.05， P<0.01）. Metabolomics analysis revealed 1104 and 198 differential metabolites in EMs patients and EMs rats， respectively， compared with their corresponding control groups， and both low-dose and high-dose Luoshi Neiyi prescription were found to regulate this metabolic disturbance， with the core regulatory pathways mainly involving arginine and proline metabolism. Correlation analysis showed that the glycerophospholipids including PI（16∶0/17∶0） and PI［18∶2（9Z，12Z）］ were negatively correlated with GPX4 and positively correlated with MDA， while 17α-hydroxyprogesterone was positively correlated with GPX4， SLC7A11， and FTH1 q<0.05）. ConclusionLuoshi Neiyi prescription may systematically ameliorate disease-associated metabolic dysregulation via modulation of the serum arginine and proline metabolism pathway， and may regulate ferroptosis in ectopic lesions through a mechanism potentially linked to the serum glycerophospholipid and steroid metabolism pathways. Collectively， these findings provide experimental evidence for the clinical application of Luoshi Neiyi prescription.

Objective To establish and validate the diagnostic model of ferroptosis genes for acute myocardial infarction (AMI) based on bioinformatics. Methods Five AMI gene expression data were obtained from Gene Expression Omnibus (GEO), namely GSE66360, GSE48060, GSE60993, GSE83500, GSE34198. Among them, GSE66360 was used as the training set to perform differential analysis, and intersection of differential genes and ferroptosis genes was taken to obtain differentially expressed ferroptosis genes in AMI. GO and KEGG enrichment analyses were performed using Metascape website. Subsequently, random forest (RF) algorithm was used to screen out key genes with high classification performance according to the Keeny coefficient score, and artificial neural network (ANN) diagnostic model of AMI ferroptosis feature gene was constructed by model group GSE83500. The area under the receiver operating characteristic curve (AUC) of 10-fold cross-validation was used to evaluate the performance and generalization ability of the model, and 3 external independent datasets were used to verify the diagnostic performance of this model. The single sample gene set enrichment analysis was used to explore the difference in immune cell infiltration between infarcted myocardium and normal myocardium after AMI. In addition, correlation analysis between immune cells and key genes was also conducted. Finally, potential drugs that would prevent and treat AMI by regulating ferroptosis were screened out from the Coremin Medical platform. Results A total of 16 differentially expressed ferroptosis genes were obtained in the training set, GO enrichment analysis showed that they mainly participated in biological functions such as cellular response to biological stimuli and chemical stress, and regulation of interleukin 17. KEGG enrichment analysis showed that these genes were significantly enriched in NOD-like receptor signaling pathway, programmed cell necrosis, Leishmaniasis and other pathways. Four genes with good classification performance were screened out using RF algorithm, namely EPAS1, SLC7A5, FTH1, and ZFP36. The results of 10-fold cross-validation showed that the minimum AUC value was 0.746, the maximum value was 0.906, and the average value was 0.805. The AUC of the ANN model was 0.859, and the AUC values of the three independent validation sets were 0.763 (GSE48060), 0.673 (GSE60993), 0.698 (GSE34198). Immune cell infiltration found that macrophages, mast cells and monocytes were significantly active after AMI. Correlation analysis found that there were positive correlations between 4 key genes and activated dendritic cells, eosinophils and γδT cells. A total of 20 potential western medicines were predicted which could prevent and treat AMI by regulating ferroptosis, and the predicted potential Chinese medicine was mainly heat-clearing and detoxifying and blood-activating and removing blood stasis drugs. Conclusion The identified AMI ferroptosis genes by bioinformatics method have certain diagnostic significance, which provides a reference for disease diagnosis and treatment.

BACKGROUND:Graphene oxide,with its excellent physical and chemical properties and biocompatibility,can promote the differentiation of osteoblasts and inhibit the proliferation of bacteria,which will hopefully improve the success rate of implant restoration.OBJECTIVE:To summarize the research progress of graphene oxide in the field of dental implant restoration.METHODS:The related articles published by CNKI,WanFang Database,ScienceDirect,and PubMed from January 2000 to June 2024 were searched by computer.The keywords were"graphene oxide,dental implantation,biocompatibility,antibacterial mechanism,osteoblasts,mechanical properties,chemical properties"in Chinese and English.By reading the titles and abstracts,we preliminarily screened out the documents irrelevant to the topic of the article.According to the inclusion and exclusion criteria,65 documents were finally included for analysis.RESULTS AND CONCLUSION:Graphene oxide can increase the innate immune protection response of the body through its own antibacterial and drug-loaded antibacterial abilities,thus inhibiting the occurrence and development of periimplant inflammation.Graphene oxide can promote the proliferation and differentiation of bone marrow mesenchymal stem cells,enhance the proliferation of osteoblasts and vascular endothelial cells,inhibit the proliferation of osteoclasts,increase the rate of bone bonding between implants and alveolar bones,and contribute to the formation and stability of bone around implants.Graphene oxide can promote the combination of implant and gingival tissue,and reduce the occurrence of inflammation.Graphene oxide has low toxicity,and its biological safety needs further study.Graphene oxide coating endows the surface of titanium implant with excellent physical and chemical properties,which can greatly reduce the occurrence of complications such as implant fracture and prolong the survival time of implant.

BACKGROUND:Graphene oxide,with its excellent physical and chemical properties and biocompatibility,can promote the differentiation of osteoblasts and inhibit the proliferation of bacteria,which will hopefully improve the success rate of implant restoration.OBJECTIVE:To summarize the research progress of graphene oxide in the field of dental implant restoration.METHODS:The related articles published by CNKI,WanFang Database,ScienceDirect,and PubMed from January 2000 to June 2024 were searched by computer.The keywords were"graphene oxide,dental implantation,biocompatibility,antibacterial mechanism,osteoblasts,mechanical properties,chemical properties"in Chinese and English.By reading the titles and abstracts,we preliminarily screened out the documents irrelevant to the topic of the article.According to the inclusion and exclusion criteria,65 documents were finally included for analysis.RESULTS AND CONCLUSION:Graphene oxide can increase the innate immune protection response of the body through its own antibacterial and drug-loaded antibacterial abilities,thus inhibiting the occurrence and development of periimplant inflammation.Graphene oxide can promote the proliferation and differentiation of bone marrow mesenchymal stem cells,enhance the proliferation of osteoblasts and vascular endothelial cells,inhibit the proliferation of osteoclasts,increase the rate of bone bonding between implants and alveolar bones,and contribute to the formation and stability of bone around implants.Graphene oxide can promote the combination of implant and gingival tissue,and reduce the occurrence of inflammation.Graphene oxide has low toxicity,and its biological safety needs further study.Graphene oxide coating endows the surface of titanium implant with excellent physical and chemical properties,which can greatly reduce the occurrence of complications such as implant fracture and prolong the survival time of implant.

OBJECTIVE To explore the potential mechanism of the effect of Xuebijing injection （XBJ） on neurological function and survival of rats after cardiac arrest （CA）/cardiopulmonary resuscitation （CPR） based on the S-nitrosoglutathione reductase （GSNOR）/S-nitrosoglutathione （GSNO） pathway. METHODS The CA/CPR rat model was established by ventricular fibrillation. Using a sham operation group as control， high-throughput sequencing was employed to analyze and mine the differentially expressed genes （DEGs）. Enzyme-linked immunosorbent assay was used to determine the contents of GSNOR and GSNO in the hippocampus； the active components of XBJ were screened and subjected to molecular docking analysis with GSNOR. The rats successfully modeled using the same method were divided into model group （n＝30）， inhibitor （GSNOR inhibitor） group （n＝30）， XBJ group （n＝30） and XBJ+inhibitor group （n＝30）， and a sham operation group （n＝30） was set up. Neurological function was evaluated and survival status was recorded at 3 hours， 24 hours and 3 days after the first 89） drug intervention. The contents of GSNOR and GSNO in the hippocampus of rats were determined in each group at the 0191） above time points， and the relationship of the contents of GSNOR and GSNO with modified neurologic severity scale （mNSS） score was analyzed. RESULTS GSNOR coding gene was differentially expressed between the model group and the sham operation group. Compared with the sham operation group， GSNOR content increased significantly in the hippocampus of rats in model group， while GSNO content decreased significantly （P＜0.05）. The active components of XBJ， such as 4- methylenemiltirone and salviolone， could be bound to GSNOR protein， with the binding energy lower than －6 kcal/mol， mainly connected by hydrogen bonds. Animal experiments revealed that mNSS score and GSNOR levels in the hippocampus of rats in the model group were significantly higher than those in the sham operation group （P＜0.05）， while GSNO levels and survival rate were significantly lower than those in the sham operation group （P＜0.05）. The above indexes of rats were improved significantly in administration groups， the mNSS score in the XBJ group was significantly lower than that in the inhibitor group， the content changes of GSNOR and GSNO in the inhibitor group were more obvious than those in the XBJ group， and the various indicators in the XBJ+inhibitor group were significantly better than the XBJ group and the inhibitor group （P＜0.05）. GSNOR content was positively correlated with the mNSS score， and GSNO content was negatively correlated with the mNSS score （P＜0.05）. CONCLUSIONS XBJ can improve the neurological function of rats and enhance their survival rates after CA/CPR， the mechanism of which may be associated with the down-regulation of GSNOR and the up-regulation of GSNO.

[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 investigate the protective effects of total saponins from Panax japonicus (TSPJ) against high-fat dietinduced testicular Sertoli cell junction damage in mice. METHODS: Forty male C57BL/6J mice were randomized into normal diet group, high-fat diet group, and low-dose (25 mg/kg) and high-dose (75 mg/kg) TSPJ treatment groups (n=10). The mice in the normal diet group were fed a normal diet, while the mice in the other groups were fed a high-fat diet. After TSPJ treatment via intragastric administration for 5 months, the testes and epididymis of the mice were collected for measurement of weight, testicular and epididymal indices and sperm parameters. HE staining was used for histological evaluation of the testicular tissues and measurement of seminiferous tubule diameter and seminiferous epithelium height. The expression levels of ZO-1, occludin, claudin11, N-cadherin, E-cadherin and β-catenin in Sertoli cells were detected with Western blot, and the localization and expression levels of ZO-1 and β-catenin in the testicular tissues were detected with immunofluorescence assay. The protein expressions of LC3B, p-AKT and p-mTOR in testicular Sertoli cells were detected using double immunofluorescence assay. RESULTS: Treatment with TSPJ significantly improved high-fat diet-induced testicular dysfunction by reducing body weight (P < 0.001), increasing testicular and epididymal indices (P < 0.05), and improving sperm concentration and sperm viability (P < 0.05). TSPJ ameliorated testicular pathologies and increased seminiferous epithelium height of the mice with high-fat diet feeding (P < 0.05) without affecting the seminiferous tubule diameter. TSPJ significantly increased the expression levels of ZO-1, occludin, N-cadherin, E-cadherin and β-catenin (P < 0.05) but did not affect claudin11 expression in the testicular tissues. Immunofluorescence assay showed that TSPJ significantly increased ZO-1 and β-catenin expression in the testicular tissues (P < 0.001), downregulated LC3B expression and upregulated p-AKT and p-mTOR expressions in testicular Sertoli cells. CONCLUSION TSPJ alleviates high-fat diet-induced damages of testicular Sertoli cell junctions and spermatogenesis possibly by activating the AKT/mTOR signaling pathway and inhibiting autophagy of testicular Sertoli cells.
Male ; Animals ; Mice ; Mice, Inbred C57BL ; Testis ; Sertoli Cells ; beta Catenin ; Diet, High-Fat ; Occludin ; Proto-Oncogene Proteins c-akt ; Seeds ; Cadherins ; Intercellular Junctions

Child ; Humans ; Case-Control Studies ; East Asian People ; Genetic Predisposition to Disease/genetics* ; Methyltransferases/genetics* ; Polymorphism, Genetic ; Wilms Tumor/pathology*

Objective To investigate the diagnostic value of pyruvate kinase M2 ( PKM2) gene expression in papillary thyroid carcinoma ( PTC). Methods Quantitative real-time PCR ( RT-qPCR) was used to detect the expression of PKM2 mRNA in benign thyroid nodules, PTC, and normal thyroid cells around nodules of fine-needle aspiration (FNA) specimens. Immunohistochemistry ( IHC) was used to detect the expression of PKM2 protein in thyroid tissue after thyroidectomy. The receiver operating characteristic curve was constructed to evaluate the diagnostic value of PKM2 in PTC. Results The expression of PKM2 mRNA was detectable in FNA specimens of thyroid nodules,higher in PTC than those in normal thyroid tissue and benign thyroid nodules (P<0.01). PKM2 expression level was correlated with diameter of PTC ( P<0.05) , but had no correlation with lymph node metastasis, BRAFV600E mutation, and American Joint Committe on Cancer( AJCC) stage ( P>0.05) . The expression level of PKM2 mRNA in FNA specimens of thyroid nodules was paralleled with the expression level of PKM2 protein in postoperation pathological tissues. The accuracy, sensitivity, specificity of PKM2 gene in the diagnosis of PTC were 62.8％, 46.9％, and 95.7％, respectively. The accuracy and sensitivity of PKM2 combined with BRAFV600E were increased to 87.6％and 83.7％. Conclusion Detection of PKM2 gene in FNA specimens is highly specific in the diagnosis of PTC, making it a valuable molecular marker for preoperative diagnosis. The combination of PKM2 and BRAFV600E detection shows a higher diagnosis efficiency.