With the understanding of tumor metabolism, the process and mechanism of tumor metabolic reprogramming gradually attracted much attention in recent years.Oncogenes and tumor suppressor genes are constantly changing the pathway and flux of tumor metabolism in tumorigenesis to meet the needs of tumor growth and proliferation.The role of c-MYC, TP53, HIF-1αas well as the related signal pathways in tumor metabolic reprogramming would be discussed.

Objective To study the loss of imprinting(LOI) of insulin-like growth factor Ⅱ(IGF2) and H19 genes in cervical carcinomas.Methods Polymerase chain reaction(PCR) method was used on DNA samples extracted from 40 cases of cervical carcinoma and 20 cases of normal control tissues to detect the heterozygosity of IGF2 and H19 genes.The LOI of IGF2 and H19 genes was detected by RT-PCR.Results The heterozygous frequency of IGF2 was 52% in cervical cancer samples.Comparatively,in 20 matched normal samples,13 cases showed the heterozygosity(65%).The biallelic expression of IGF2 was detected in 10 cases among the 21 informative cervical cancer samples(47.6%),however,1 case in 13 heterozygous samples of control group(7.7%)((P0.05).Conclusion LOI and LOH of IGF-2 and H19 genes are involved in cervical carcinomas.LOI of IGF2 and H19 may be involved in the initiation stage of carcinogenesis of cervical carcinoma.

Objective:To study the HPLC fingerprint of Ningxinbao capsules, and establish a method for the simultaneous content determination of uracil, uridine, adenine and adenosine. Methods: The separation was carried out on an Agilent Zorbax SB-Aq C18 column(250 mm × 4. 6 mm, 5μm) with gradient elution using methanol-0. 05 mol·L-1 potassium dihydrogen phosphate at 30℃ and at a flow rate of 1. 0 ml·min-1 , the detection wavelength was 212 nm for fingerprint and 260 nm for the determination of the four nu-cleosines. Totally 10 batches of samples were analyzed with the developed HPLC fingerprint and the determination method, the data calculation was performed with similarity evaluation system in the chromatographic fingerprint of TCM. Results: In the fingerprint, 10 common peaks were marked and the separation of the four nucleosines was good. Conclusion:The method is simple and reliable. The HPLC fingerprint and contents of the four nucleosines in Ningxinbao capsules can be used for the quality control.

Objective To investigate the antitumor activity of the oncolytic adenovirus expressing lipocalin 2 gene for colorectal cancer in vivo.Methods BALB/C nude mice subcutaneously inoculated by SW620 cells and grown tumors were treated with injection of ZD-55 virus, Ad-lipocalin 2 virus and ZD55- lipocalin 2 virus respectively.The weight of implanted tumors and the tumor inhibition rate were calculated to evaluate the anti-tumor effect.Cell apoptosis was determined by TUNEL and the protein expression of VEGF and MVD were determined with immunohistochemistry.Results ZD55-lipocalin 2 inhibited the growth of transplanted tumor more significantly than ZD-55 virus and Ad-lipocalin 2 virus ( P ＜ 0.05 ).Tumor cell apoptosis was upregulated and the MVD reduced significantly in ZD55-lipocalin 2 group in contrast to the other two groups (P ＜0.05).Conclusions ZD55-lipocalin 2 induces apoptosis of colorectal tumor cells and inhibits tumor microvascular formation, slowing down the growth of transplantation tumors.

Objective:To explore the application value of MRI texture analysis in combination with imaging features to predict the WHO/International Society of Urological Pathology (ISUP) nuclear grading in pre-operative patients with clear cell renal carcinoma (ccRCC).Methods:MRI images of 78 patients diagnosed as ccRCC by surgical pathology from July 2016 to July 2020 in First Affiliated Hospital of Fujian Medical University were retrospectively analyzed. According to the WHO/ISUP grading system, the patients were divided into low grade group (49 cases, grade Ⅰ in 2 cases and grade Ⅱ in 47 cases) and high grade group (29 cases, grade Ⅲ in 25 cases and grade Ⅳ in 4 cases), and then were assigned to training set ( n= 63) and validation set ( n=15) in a ratio of 7∶3 using random indicator method. MRI radiological features were evaluated and MRI imaging texture features were extracted. The largest-diameter slice of lesion on cross-sectional images was selected and ROIs were drawn on T 2WI and corticomedullary phase (CMP) images, respectively. Quantitative texture analysis software MaZda was used to extract texture features, including gray-scale histogram, co-occurrence matrix, run-length matrix, gradient, autoregressive model and wavelet transform. The extracted texture features were preliminarily selected by the combination of Fisher, probability of classification errorand average correlation coefficient, and interaction information, and then the reduced texture parameters or imaging features were tested by the independent sample t test, Mann-Whitney U test or χ 2 test. Parameters with statistically significant differences were used to construct a multi-factors binary logistic regression model and the ROC curve was used to analyze its effectiveness in predicting high grade ccRCC. Results:In training set, there were significant differences intumor length, shape and margin, enhancement degree of CMP, vein thrombosis and 47 texture features between the low and high grade ccRCC groups. In the training set, 7 multi-factors binary logistic regression model were constructed, including radiological features model (M1), T 2WI texture features model (M2), CMP image texture features model (M3) and combination radiological features of T 2WI texture features model (M4), combination radiological features of CMP images texture features model (M5), combination T 2WI texture features of CMP images texture features model (M6) and combination of all features model (M7). The area under ROC curve of M7 in predicting nuclear grading of ccRCC was the largest, which were 0.901 (95% CI 0.828-0.974) and 0.820 (95% CI 0.564-0.974) in the training set and validation set, respectively. Conclusion:MRI texture analysis combined with imaging features is hopeful to be an effective preoperative noninvasive method in predicting WHO/ISUP grading of ccRCC.

Objective To investigate the pathogen distribution and risk factors of pulmonary infection after acute cervical spinal cord injury (ACSCI) in an attempt to offer reference for early antiinfection therapy.Methods The study comprised 223 cases who were admitted from October 2011 to October 2014.There were 149 males and 74 females,at (43.3 ± 13.5) years of age.Species of pathogens identified were gram-positive,gram-negative and mixed.Effects of age,gender,injury types and tracheotomy on pathogen distribution were analyzed.Results Gram-negative infection was found in 114 cases (51.1％),with tracheotomy accounting for 7.0％ of the cases and death accounting for 1.8％ of the cases,and the main causative pathogens were Klebsiella pneumonia,Escherichia coli,Pseudomonas aeruginosa and Acinetobacter baumannii.Gram-positive infection was found in 41 cases (18.4％),with tracheotomy accounting for 12.2％ of the cases and death accounting for 7.3％ of the cases,and the main causative pathogens were Staphylococcus aureus and Streptococcus pneumonia.Mixed infection was found in 68 cases (30.5％),with tracheotomy accounting for 22.1％ of the cases and death accounting for 13.2％ of the cases.Gender had no significant correlation with pathogen distribution.For the cases of complete spinal cord injury and tracheotomy,the ratio of mixed infection increased significantly (P ＜ 0.05).For the cases younger than 30 years,the pathogens were mainly gram-positive bacteria (P ＜ 0.05).Conclusions Main pathogens of pulmonary infection after ACSCI are gram-negative bacteria.The cases younger than 30 years are associated with higher risk of grampositive infection,while the cases with complete injury or tracheotomy are associated with higher risk of mixed infection.

AIM: To study the effect of ligustrazine on the cardiacmyocyte lesion in rats with type 2 diabetes mellitus.METHODS: Male Wistar rats were injected with STZ via tail vein under high-glucose and high-fat feeding for 4 weeks to establish the animal model of type 2 diabetes mellitus.Ligustrazine at different doses was used to treat the diabetic rats.The body weight, blood glucose and the morphology of heart tissues were observed.The myocardial levels of IL-1β, IL-6 and TNF-α were detected by ELISA, and the protein expression of IKKβ and NF-κB in the myocardium was determined by Westeren blotting.RESULTS: Ligustrazine at high dose alleviated the body weight reduction and blood glucose elevation cause by diabetes, and reduced pro-inflammatory factors IL-1β, TNF-α and IL-6.Moreover, the protein expression of IKKβ and NF-κB was significant decreased by ligustrazine.CONCLUSION: Ligustrazine inhibits the myocardial inflammation caused by diabetes through anti-inflammatory pathway.

Objective Sarcopenia and metabolic syndrome share similar pathophysiological mechanisms. The aim of this study was to investigate the prevalence of sarcopenia among health examination population, and to analyze the relationship between sar-copenia and blood pressure, blood glucose, uric acid and lipids. Methods Physical examination data of 1191 healthy persons in the medical examination center of the hospital from Mar 2011 to Jun 2011 were collected. The weight, skeletal muscle, body fat, body mass index ( BMI) , waist circumference,body fat percentage, waist-hip ratio and visceral fat area were analyzed by human body compositionanalyzer and the prevalence of sarcopenia was observed. At the same time, triglyceride (TG), total cholesterol (TC), high density lipo-protein-cholesterol ( HDL-C ) , low density lipoprotein-cholesterol ( LDL-C) , uric acid and fasting blood glucose were also detected. Results The prevalence rate of sarcopenia of the subjects was 5.21%, and the highest incidence was found in ≥60 years group( 11.11%) . The prevalence rates of overweight and obesity were 33.8% and 10.2%, respectively. The prevalence of sarcopenia is grad-ually higher along with increasing BMI. The prevalence rates of sarcopenia of overweight and obesity subjects were 5.47% and 26.23%, respectively. Compared with the normal control group, the level of weight[(66.34±11.75)kg vs (76.71±12.84)kg ], BMI[(23.37± 3.13) vs (28.05±3.66)], body fat percentage[(25.33±6.06)% vs (36.76±4.47)%], waist circumference[(83.19±9.56)cm vs (95.45±13.74)cm] and visceral fat area[(88.96±29.74)cm2 vs (136.91±25.56)cm2] were higher in the sarcopenia group (P<0.05). Compared with the normal control group, the incidence of systolic blood pressure[(125.59±30.04)mmHg vs (139.39±19.79) mmHg], diastolic blood pressure[(75.82±11.95)mmHg vs (82.34±10.96)mmHg ] TG[(1.56±1.12)mmol/L vs (1.98±1.72)mmol/L] and uric acid[(313.75±83.07)mmol/L vs (335.55±96.07)mmol/L] were higher in the sarcopenia group (P<0.05). Compared with the normal subjects, the detectable rates of abnormal diastolic blood pressure, fasting blood glucose, uric acid, and LDL-C were increased in the sarcopenia, obesity and sarcopenia combined with obesity subjects (P<0.05). The odds ratio of abnormal systolic blood pressure, diastolic blood pressure, uric acid, and LDL-C increased in the sarcopenia, obesity and sarcopenia combined with obe-sity subjects using logistic regression analyses after correction of gender and age. Conclusion The sarcopenia may have some con-nection with metabolic risk factors. Early detection of sarcopenia can help to distinguish people predisposed to metabolic syndrome, and it has important significance for prevention of chronic disease.

ToprovidethemethodologyforrapidqualityevaluationofLonicerajaponica,wehaveestablished the stable quantitative model of near infrared spectroscopy ( NIR) . The performance of Bagging partial least squares (Bagging-PLS) model and Boosting partial least squares (Boosting-PLS) model was compared with that partial least squares ( PLS ) model based on the NIR data of ethanol precipitation process of Lonicera japonica. On this basis, the performance of these two models after variables selection was also studied by the methods of siPLS ( synergy interval partial least squares ) and CARS ( competitive adaptive reweighted sampling) . The experimental results showed that the prediction performance of Bagging-PLS and Boosting-PLS models was superior to PLS model with the latent factor of 10 . The band of 820-1029 . 5 nm and 1030-1239. 5 nm for the first batch was selected by the method of siPLS. In addition, the band of 820-1029. 5 nm and 1030-1239. 5 nm was selected for the second batch sample in the same method. Furthermore, the method of CARS was taken to select variables for the two batches samples with 5-fold cross-validation and 10-fold cross-validation. And the lowest RMSECV( root mean square error of cross-validation) values were used to take subset. Compared to the model performance without the method of CARS, the RMSEP value of the Bagging-PLS model and Boosting-PLS model for the concentration of chlorogenic acid reduced by 0 . 02-0 . 04 g/L and rp(correlation coefficient of prediction)value increased by 4%-5%. Generally, Bagging-PLS and Boosting-PLS could be regarded as rapid prediction methodsfor NIR quantitative models of ethanol precipitation process of Lonicera japonica.