The abnormal accumulation of neutrophil extracellular traps （NETs） can promote the initiation and progression of pancreatic cancer， which is considered a potential therapeutic target for this disease. The Miraculous Pivot·Inquiry About Statement （《灵枢·口问》） have recorded the concept of "defensive qi stagnation". Based on the recognition that the function of defensive qi is similar to the immune function of neutrophils， and combining traditional Chinese medicine theory with clinical practice， it is proposed that the abnormal accumulation of NETs may be a pathological product of "defensive qi stagnation"， with the spleen being the critical site of pathology. Further exploring the application strategy of cleaning spleen and restoring defensive qi method in pancreatic cancer treatment， it is proposed to employ three approaches such as dredging method to eliminate spleen stagnation and inhibit pancreatic cancer proliferation， cleaning method to remove spleen dampness and suppress the inflammatory micro-environment， and tonifying method to strengthen Weiqi and to improve the immune microenvironment， which aims to provide new insights for the clinical treatment of pancreatic cancer with traditional Chinese medicine.

BACKGROUND:Cannabidiol is effective in ameliorating the body's inflammatory response,but no clear mechanistic studies have been conducted to ameliorate skeletal muscle inflammation induced by exhaustive exercise. OBJECTIVE:To explore the mechanism by which cannabidiol improves skeletal muscle inflammation during exhaustive exercise by using transcriptome sequencing technology. METHODS:Thirty-six Sprague-Dawley rats were randomly divided into six groups:blank control group,exercise coconut oil group,exercise control group,50 mg/kg cannabidiol group,60 mg/kg cannabidiol group,and 70 mg/kg cannabidiol group,with six rats in each group.Except for rats in the blank control group,rats in each group were subjected to swimming exercise for 9 days to produce the exhaustive exercise model.At the end of each swimming exercise,rats in the cannabidiol groups were given 2 mL of fat-soluble cannabidiol at different concentrations(50,60,and 70 mg/kg)by gavage;rats in the exercise coconut oil group were given the same volume of coconut oil by gavage until the end of the exercise on the 9th day;and rats in the blank control group and the exercise control group were not given any special treatment.The levels of inflammatory factors and differentially expressed genes in the skeletal muscle of rats in each group were determined using ELISA and transcriptome sequencing techniques.Differentially expressed genes obtained were subjected to KEGG analysis,and the accuracy of the sequencing data was verified by fluorescence quantitative PCR. RESULTS AND CONCLUSION:The results of ELISA showed that the contents of interleukin-6(P<0.05),tumor necrosis factor-α(P<0.01),interleukin-10 and other inflammatory factors in the exercise group increased significantly compared with the blank control group and the coconut oil group.After cannabidiol intervention,the mass concentrations of interleukin-6 and tumor necrosis factor-α showed a sequential decrease with increasing cannabidiol concentration.By comparing GO and KEGG databases,the functional properties of differentially expressed genes were analyzed,and the results showed that the differentially expressed genes were mainly involved in the tumor necrosis factor signaling pathway and the Toll-like receptor signaling pathway.RT-qPCR results showed that the trends of five randomly selected differentially expressed genes were in agreement with the transcriptome sequencing results.To conclude,cannabidiol can improve skeletal muscle inflammation caused by exhaustive exercise.

Salivary gland tumor is one of the most common tumors in oral and maxillofacial regions. The diagnosis and treatment of salivary gland tumors had been a clinical characteristic project in Peking University School and Hospital of Stomatology since long time ago. Here we introduced the research progress in diagnosis and treatment of salivary gland tumors during the past 10 years. Among 7 190 cases of salivary gland tumors treated in this institution, 4 654 cases (64.7%) were benign, and 2 536 (35.3%) were malignant, with benign ∶ malignant ratio of 1.84 ∶ 1. Parotid was the most common location, followed by minor salivary gland and submandibular gland, while sublingular gland tumor was seldom seen. The proportion of minor salivary gland tumor was relatively high. Among 1 874 cases with primary malignant tumors, the cases with T3 and stage Ⅲ accounted for only 9.6% and 10.3%, respectively, which indicated that there was shortcoming in the T classification and clinical stage formulated by Union for International Cancer Control (UICC), and further revision was required. The 5, 10, and 15 year survival rates of 1 637 cases with postoperative follow-up were 93.1%, 87.2% and 79.3%, respectively, which were much higher than those we reported 30 years ago. The improvement of treatment results was related to more widely used combined treatment with surgery and postoperative radiotherapy, and the increase in patients with early stage. Adenoid cystic carcinoma was the malignant tumor with high rate of distant metastasis. The 5 and 10 year survival rates of the patients with pulmonary metastasis were 76.2% and 51.8%, respectively, which indicated that the pulmonary metastatic carcinomas developed slowly. Recurrent rate of carcinoma ex pleomorphic adenoma was 46.7% after single treatment of sur-gery, while it decreased to 27.5% after combined theraphy with surgery and radiotherapy, indicating that postoperative radiotheraphy could reduce the recurrent rate effectively. The normal myoepithelial cells had the inhibiting role in the invasion and metastasis of carcinoma ex pleomorphic adenoma. The evaluation of integrity of myoepithelial cells surrounding the tumor mass is helpful to understand the invasiveness of the tumors. The new surgical modalities such as extracapsular resection and partial sialoadenectomy were used in treatment of benign tumors of parotid gland and submandibular gland with advantages of decreased tissue damage and preservation of glandular function. Application of digital surgical techniques such as mixed reality combined with surgical navigation and real-time three-dimensional holograms in the surgical treatment of parotid gland tumors showed the benifits of more safety and precision, and less tissue da-mage.
Humans ; Salivary Gland Neoplasms/pathology* ; Carcinoma, Adenoid Cystic/therapy* ; Adenoma, Pleomorphic/therapy* ; Neoplasm Staging

Sexual dimorphism in the brain underlies behavioral differences between sexes. The bed nucleus of the stria terminalis (BNST) is a complex nucleus that differs between males and females, but the sexual dimorphism in cytoarchitecture and the connectome of its oval subdivision (ovBNST) remains largely unexplored. By combining snRNA-seq and transgenic labeling, we found a higher density of ovBNST proenkephalin (ovBNST^PENK) neurons in male than female mice. Anatomically, we virally mapped the efferents and afferents of ovBNST^PENK neurons, finding reciprocally dimorphic connections with the hypothalamus and striatum. Gene enrichment analysis suggests that ovBNST^PENK neurons are modulated by the upstream dopamine pathway. Functionally, by applying caspase-3-mediated depletion of ovBNST^PENK neurons, we found that loss of these neurons enhanced locomotor activity in male but not female mice, without altering the anxiety-like phenotypes in either sex. Our study may pave the way for a better understanding of the anatomical and functional profiles of ovBNST^PENK neurons from a sexually dimorphic perspective.
Animals ; Male ; Female ; Septal Nuclei/physiology* ; Sex Characteristics ; Neurons/physiology* ; Enkephalins/metabolism* ; Mice ; Mice, Transgenic ; Protein Precursors/metabolism* ; Mice, Inbred C57BL ; Neural Pathways/physiology*

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective To study the mechanism of the treatment of metabolism associated steatohepatitis(MASH)in rats with Xiaoyao Wan.Methods Twenty-four SD male rats were randomly divided into control group(CON group,n=8)and model group(n=8).The model group was given high-fat diet,carbon tetrachloride(CCl4)subcutaneous injection,hunger and satiety disorder and tail clamping for four weeks to establish the MASH model,and the rats were randomly divided into the MOD group and the Xiaoyao Wan group(XYW group),with 8 rats in each group.The rats of the XYW group were given Xiaoyao Wan,the other two groups were given normal saline.Four weeks after administration,the serum biochemical indexes and oxidative stress indexes of rats in different groups were detected.The pathological sections of rat liver tissue were observed by hematoxylin-eosin(HE)stai-ning and oil red O staining.The expression of cytochrome P450 2E1(CYP2E1),factor-related apoptosis ligand(FasL),tumor necrosis factor-α(TNF-α)and tumor growth factor-β1(TGF-β1)in rat liver were detected by Western blot method.The relative contents of CYP2E1,FasL,TNF-α and TGF-β1 mRNA in liver tissue were de-tected by RT-qPCR.Results The general condition of rats in the XYW group was significantly improved compared with the MOD group;the level of hepatic index was significant decrease compared with the MOD group(P＜0.01)and the level of body mass index was significant increase compared with the MOD group(P＜0.01);the serum levels of triglyceride,total cholesterol,low-density lipoprotein cholesterol,aspartate aminotransferase,alanine aminotransferase,malondialdehyde,monocyte chemotactic protein-1,TNF-α,and interleukin(IL)-18 were signif-icantly reduced compared with the MOD group(all P＜0.05),and the levels of high-density lipoprotein choles-terol,superoxide dismutase,and IL-10 were significantly elevated compared with the MOD group(all P＜0.05);the content of lipid droplets in hepatocytes of rats was significantly reduced compared with the MOD group under light microscope;the protein levels of CYP2E1,FasL,TNF-α and TGF-β1 in liver tissues were significantly re-duced compared with the MOD group(all P＜0.05),and the relative contents of CYP2E1,FasL,TNF-α and TGF-β1 mRNA were significantly reduced compared with the MOD group(all P＜0.05).Conclusion Xiaoyao Wan can regulate the expression of CYP2E1,FasL,TNF-α and TGF-β1 in the liver tissue of MASH rats by reduc-ing the accumulation of fat in the liver,so as to achieve the purpose of treating MASH.

As a common clinical Chinese medicine, Prunellae Spica has the effects of clearing liver-fire, improving eyesight, resolving massesand detumescence, and has strong anti-tumor effects against thyroid cancer, breast cancer, liver cancer and other cancers. Extracts of Prunellae Spica and its active components can play an anti-tumor role in a variety of ways, including cell apoptosis, inhibiting cell invasion and metastasis, inhibiting cell proliferation, inducing autophagy, anti tumor angiogenesis, reversing tumor multidrug resistance and regulating immune function, by regulating miRNA and Wnt/β-catenin, PI3/AKT, AMPK/mTOR/ULK1, RANKL/RANK/OPG and other signal pathways . In this paper, the anti-tumor mechanism of Prunellae Spica extract was reviewed, in order to provide reference for further research and application.

Angelicae Sinensis Radix, drived from a medicinal and edible plant Angelica sinensis, with the reputation of "nine Angelica recipes out of ten". The volatile oils from Angelicae Sinensis Radix was the main medicinal component of Angelicae Sinensis Radix, mainly including benzene phthalides, terpenoids and alkanes, its chemical composition was complex. Such factors as growth environment, concoction process, extraction methods and other factors all can trigger changes in volatile oil constituents and content from Angelicae Sinensis Radix. Angelicae Sinensis Radix essential oil has diverse pharmacological activities such as anti-hypotension, protection of ischemia-reperfusion injury, asthma, anti-inflammatory and anti-cancer, etc., implying its high clinical application value. This paper reviewed the literature on the volatile oil of Angelicae Sinensis Radix in the past ten years, the chemical components of Angelicae Sinensis Radix were sorted out and the factors affecting the chemical components were summarized, focusing on its anti-hypotensive, ischemia-reperfusion injury protection, asthma and other active effects, in order to provide reference for the further development and utilization of the volatile oil of Angelicae Sinensis Radix.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.