Purpose To observe the mutation of K-ras gene and expression of Fascin-1 protein in CRC tissues and their relationship with clinical pathological features, and then to analyze the correlation between mutation of K-ras and expression of Fascin-1. Methods In 86 cases of CRC tissues, K-ras mutation was detected by DNA sequencing analysis, and Fascin-1 expression was detected by im-munohistochemical method. Results In CRC tissues the mutation rate of K-ras was 34. 88%, the expression rate of Fascin-1 was 60. 47%. The mutation rate of K-ras in lymph node metastasis group was higher than that of without lymph node metastasis group, and that in distant metastasis group was higher than that of without distant metastasis group(P<0. 05). The expression rate of Fascin-1 in serosa invasion group was higher than that of without serosa invasion group, and that in lymph node metastasis group was higher than that of without lymph node metastasis group, and that in distant metastasis group was higher than that of without distant metastasis group (P<0. 01). There was a correlation between the mutation of K-ras gene and the expression of Fascin-1 in CRC tissues (rp =0. 236, P<0. 05). Conclusions The CRC tissues with mutation of K-ras are more likely to metastasize and the CRC tissues with expression of Fascin-1 are more likely to invade serosa and metastasize. The CRC tissues with mutation of K-ras are more likely to express Fascin-1.

Biochemical indexes and blood composition in early lactation health,ketosis and hypocalcemia dairy cows were analyzed to make sure the milk composition characteristics with related diseases,the correlation analysis between early lactating dairy milk composition and blood biochemical were also make in order to provide support for the cattle health assessment.According to theblood index,72 Holstein cows 7-21 d postpartum,were divided into group subclinical hypocalcemia,ketosis test group and control group,24 heads each group.The blood and milk of cows were collected and used to analyze the correlation between blood biochemical indexes and milk composition.The results showed that ketosis and hypocalcemia induced the level of milk protein and non fat milk solids decreased,while the content of citric acid in milk increased.The correlation equation between citric acid in milk and serum NEFA,BHBA and GLU was y=3.192x-0.802,(R2 =0.363),y=4.594x-0.793,(R2 =0.320),y=1.228x+0.775,(R2 =0.261),in which x was the content of citric acid in milk.The results showed that the content of citric acid in milk had positively related to blood NEFA,which could be used as an early marker for the diagnosis of negative energy balance.The levels of BUN and ALB in blood can be used to evaluate the levels of milk protein and urea.

The objective of this study was to determine the concentrations of calcium,phosphorus and magnesium in blood and compare the differences in seven areas of Heilongjiang province,and then estimate calcuim-phosphorus metabolism of beef cattle in seven beef cattle farms to provi detheoretical foundation for the prevention of calcium phosphorus metabolism diseases of beef cattle.Seven beef cattle farms of Daqing,Shuangyashan,Jiusan and Mudanjiang in Heilongjiang province were selected as the survey sites,which were recorded as group A (both grazing and stall-feeding in Shuangyashan),group B (stall-feeding mode in Shuangyashan),group C (stall-feeding mode in Daqing),group D (grazing mode in Jiusan),group E (both grazing and stall-feeding in Daqing),group F (both grazing and stall-feeding in Daqing) and group G (stall-feeding mode in Mudanjiang).Then the concentrations of Ca,Mg,P,free fatty acid (NEFA),glucose (Glc) and β-hydroxybutyric acid (BHBA) in the blood were compared to estimate the calcuim-phosphorus metabolic states.Results showed that the concentrations of calcium,magnesium and phosphorus in the plasma of 65 beef cattle in seven survey sites were within the normal range,and there was no significant difference in calcium concentration among seven sites.The P contents in group C and G were significantly higher those that in group A and B(P＜0.01),which in group C was significantly higher than those in group D,E and F (P＜0.01),which in group G was significantly higher than those in group D,E and F(P＜0.01).NEFA content in group B was significantly higher than that in group D (P＜0.05),and there was no difference among other groups.The concentration of Glc in group A was significantly higher than that in group E (P＜0.05),which in group B was significantly higher than those in group A and D,and was very significantly higher than those in group E,F and G (P＜0.01),which in group C was very significantly higher than those in group A,D,E,F and G (P＜0.01),which in group C was significantly higher than those in group A,D,E,F and G (P＜0.01),which in group D was significantly higher than that in group E (P＜0.05),and which in group F was significantly higher than that in group E (P＜0.05).The concentration of BHBA in group C,D and E were significantly higher than that in group A (P＜0.01),which in group C was significantly higher than that in group B (P＜0.05),which in group D and E was significantly higher than that in group B (P＜0.01),which in group C was significantly higher than that in group G (P＜0.01),which in group D was significantly higher than those in group F and G (P＜0.01),and in group E was highly significantly higher than that in group F and G (P＜0.01).Overall,there were not calcuim-phosphorus metabolic disorders within the seven beef cattle farms which were selected,but it is also necessary to strengthen feeding management and health care to prevent the occurrence of nutrition and metabolic diseases.

This paper analyzed the basic situation of implementing the Law of the People's Republic of China on Traditional Chinese Medicine （abbreviated as Law of TCM） by local regulations based on 30 local laws and regulations. From the perspective of the text of regulations， local regulations mainly refine the relevant provisions of the Law of TCM from the aspects of improving the service system of TCM， training talents of TCM， protecting and developing TCM， and disseminating TCM culture， and carry out innovations based on local conditions. These local regulations can follow the basic concept and value orientation of the Law of TCM， integrate relevant laws and policies to form breakthroughs， attach importance to the feasibility and operability of local legislation， and highlight the local characteristics of TCM. From the perspective of improving supporting legal documents， in the future， it is necessary to increase efforts in strengthening the confidence of TCM culture， deepening the connotation of the development laws of TCM， and optimizing the allocation of TCM management powers.

Abstract Childhood hypertension is becoming a substantial public health challenge with profound implications for children s quality of life and long term health. The study analyzes the global prevalence of childhood hypertension and the relationship between macroecological factors, meso environmental factors, and micro individual factors based on the perspective of life course and childhood hypertension. And it further summarizes existing prevention and control strategies: systematic prevention and control based on policy and social support, health promotion based on behavioral science theory, and dynamic monitoring and management based on individualized prevention and control, to provide a reference for promoting the advancement of childhood hypertension prevention and control strategies.

OBJECTIVETo investigate the effect of mTOR signal transduction pathway and down-regulating anti-oncogene PTEN on the growth of breast cancer MCF-7 cells.

METHODSMCF-7 cells were transfected with the eukaryotic expression plasmid pcDNA3.1-mTOR and non-loaded plasmid, and the expression of mTOR in the cells was detected using Western blotting. Flow cytometry was used to analyze apoptosis and cell cycle of the transfected cells, and the expression of PTEN was detected after transfection.

RESULTSThe cells transfected with pcDNA3.1-mTOR showed a increased growth rate than those transfected with the non-loaded plasmid and those without transfection. The expression of the protein PTEN decreased obviously in the cells after mTOR trasnfection.

CONCLUSIONmTOR can regulate the expression of PTEN via PI3K/AKT/PTEN pathways through a negative feedback mechanism. Increased mTOR expression promotes MCF-7 cell growth, suggesting the potential value of mTOR specific inhibitor in the treatment of breast cancer.

Apoptosis ; Breast Neoplasms ; pathology ; Cell Cycle ; Down-Regulation ; Gene Expression Regulation, Neoplastic ; Humans ; MCF-7 Cells ; PTEN Phosphohydrolase ; metabolism ; Plasmids ; Signal Transduction ; TOR Serine-Threonine Kinases ; genetics ; Transfection

Objective To investigate the effect of mTOR signal transduction pathway and down-regulating anti-oncogene PTEN on the growth of breast cancer MCF-7 cells. Methods MCF-7 cells were transfected with the eukaryotic expression plasmid pcDNA3.1-mTOR and non-loaded plasmid, and the expression of mTOR in the cells was detected using Western blotting. Flow cytometry was used to analyze apoptosis and cell cycle of the transfected cells, and the expression of PTEN was detected after transfection. Results The cells transfected with pcDNA3.1-mTOR showed a increased growth rate than those transfected with the non-loaded plasmid and those without transfection. The expression of the protein PTEN decreased obviously in the cells after mTOR trasnfection. Conclusion mTOR can regulate the expression of PTEN via PI3K/AKT/PTEN pathways through a negative feedback mechanism. Increased mTOR expression promotes MCF-7 cell growth, suggesting the potential value of mTOR specific inhibitor in the treatment of breast cancer.

Objective To investigate the effect of mTOR signal transduction pathway and down-regulating anti-oncogene PTEN on the growth of breast cancer MCF-7 cells. Methods MCF-7 cells were transfected with the eukaryotic expression plasmid pcDNA3.1-mTOR and non-loaded plasmid, and the expression of mTOR in the cells was detected using Western blotting. Flow cytometry was used to analyze apoptosis and cell cycle of the transfected cells, and the expression of PTEN was detected after transfection. Results The cells transfected with pcDNA3.1-mTOR showed a increased growth rate than those transfected with the non-loaded plasmid and those without transfection. The expression of the protein PTEN decreased obviously in the cells after mTOR trasnfection. Conclusion mTOR can regulate the expression of PTEN via PI3K/AKT/PTEN pathways through a negative feedback mechanism. Increased mTOR expression promotes MCF-7 cell growth, suggesting the potential value of mTOR specific inhibitor in the treatment of breast cancer.

Objective To explore the accuracy of machine learning algorithms based on SHOX2 and RASSF1A methylation levels in predicting early-stage lung adenocarcinoma pathological types. Methods A retrospective analysis was conducted on formalin-fixed paraffin-embedded (FFPE) specimens from patients who underwent lung tumor resection surgery at Affiliated Hospital of Nantong University from January 2021 to January 2023. Based on the pathological classification of the tumors, patients were divided into three groups: a benign tumor/adenocarcinoma in situ (BT/AIS) group, a minimally invasive adenocarcinoma (MIA) group, and an invasive adenocarcinoma (IA) group. The methylation levels of SHOX2 and RASSF1A in FFPE specimens were measured using the LungMe kit through methylation-specific PCR (MS-PCR). Using the methylation levels of SHOX2 and RASSF1A as predictive variables, various machine learning algorithms (including logistic regression, XGBoost, random forest, and naive Bayes) were employed to predict different lung adenocarcinoma pathological types. Results A total of 272 patients were included. The average ages of patients in the BT/AIS, MIA, and IA groups were 57.97, 61.31, and 63.84 years, respectively. The proportions of female patients were 55.38%, 61.11%, and 61.36%, respectively. In the early-stage lung adenocarcinoma prediction model established based on SHOX2 and RASSF1A methylation levels, the random forest and XGBoost models performed well in predicting each pathological type. The C-statistics of the random forest model for the BT/AIS, MIA, and IA groups were 0.71, 0.72, and 0.78, respectively. The C-statistics of the XGBoost model for the BT/AIS, MIA, and IA groups were 0.70, 0.75, and 0.77, respectively. The naive Bayes model only showed robust performance in the IA group, with a C-statistic of 0.73, indicating some predictive ability. The logistic regression model performed the worst among all groups, showing no predictive ability for any group. Through decision curve analysis, the random forest model demonstrated higher net benefit in predicting BT/AIS and MIA pathological types, indicating its potential value in clinical application. Conclusion Machine learning algorithms based on SHOX2 and RASSF1A methylation levels have high accuracy in predicting early-stage lung adenocarcinoma pathological types.