The rat model of dysmenorrhea, pelvic inflammation disease (PID), and uterine myoma were established to observe the effect ofGui-Zhi Fu-Ling Capsule (GZFLC) with the changes of main components. The molecular imprinted technology was used to quantitatively knock out main components in GZFLC (the knocked-out ratios were 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%). And the observation was made on the writhing times, latency, and effects on ET-1 and PGF2α of uterine tissues in the pitocin-induced dysmenorrhea rat model. Effects on TNF-α and IL-2 were observed in PID rat model induced by mixed bacteria plus mechanical damages. Effects on the weight and index of uterus, levels of E2 and P in serum were detected on the uterine myoma rat model induced by estrogen-burden. The results showed that the GZFLC efficacy was decreased with gradient knockout of 15 main components. When 10%-40% was knocked out, there was still significant difference compared to the model group (P < 0.01). However, when 50%-90% was knocked out, there was no significant difference compared to the model group (P > 0.05). Meanwhile, the GZFLC efficacy was decreased significantly compared to the GZFLC group (P <0.05, orP < 0.01). It was concluded that 15 chemical compounds, which included gallic acid, paeoniflorin, paeonol, and etc., may be the main material basis of GZFLC. Meanwhile, it provided a useful reference for the quality control of main components in GZFLC.

Objective To explore the effect on metabolism of glucose and lipids, potential toxicity mechanism and possible biomarker candidates by analyzing urine metabonome changes of rats after oral administration of polychlorinated biphenyl congeners( PCBs) and high fat diet alone or in combination.Methods Male SD rats were divided randomly into control group,high fat diet group, PCBs group and combination group of PCBs and high fat diet.Urine samples were collected after 6-week treatment, 1 H NMR spectra were performed and analyzed by principal component analysis ( PCA) . Results The PCA scores plot of urine 1 H NMR data showed that the combined group could be easily distinguished from the other three groups, suggesting great difference in metabolism.The loading plot of the PCA revealed significant increase in the levels of lactate, glucose, creatine, 2-hydroxy-isovaleric acid and reduction in the levels of citrate, succinate, taurine, hippurate and trimethylamine oxide ( TMAO) in the combined exposure group after six-week exposure.Conclusion The altered levels of metabolites induced by combined exposure of PCBs and high fat diet may be related to the injury to mitochondrial function, reduction of energy metabolism in tricarboxylic acid cycle (TAC).These effects possibly lead to perturbations in the metabolism of glucose, lipid and amino acids.The altered metabolites may be considered biomarker candidates of toxicity induced by exposure to PCBs and high fat diet.

The morbidity and mortality of pancreatic cancer has been increasing year by year, however, the treatment progress and prevention effect were minimal.With the development of basic research, especially the advances of gene sequencing technology, it was possible to clarify the etiology and pathogenesis of pancreatic cancer, and achieve the first stage prevention.The discovery of pancreatic cancer exosomes of high sensitivity and specificity made early diagnosis of pancreatic cancer ( the second stage prevention ) no longer a worldwide problem.The build of pancreatic cancer genotyping with clinical applicability made the precision treatment of pancreatic cancer ( the third stage prevention) possible.Thus, the precision medicine which is based on advances of gene sequencing , popularity of the Internet and the big data technology has brought a ray of hope for the prevention and treatment of pancreatic cancer.

The morbidity and mortality of pancreatic cancer has been increasing year by year, however, the treatment progress and prevention effect were minimal.With the development of basic research, especially the advances of gene sequencing technology, it was possible to clarify the etiology and pathogenesis of pancreatic cancer, and achieve the first stage prevention.The discovery of pancreatic cancer exosomes of high sensitivity and specificity made early diagnosis of pancreatic cancer ( the second stage prevention ) no longer a worldwide problem.The build of pancreatic cancer genotyping with clinical applicability made the precision treatment of pancreatic cancer ( the third stage prevention) possible.Thus, the precision medicine which is based on advances of gene sequencing , popularity of the Internet and the big data technology has brought a ray of hope for the prevention and treatment of pancreatic cancer.

OBJECTIVETo develop a new method to rapidly determine and identify Guizhi Fuling capsule by portable acousto-optic tunable filter-near infrared spectroscopy.

METHODThe qualitative model was set up using principal component analysis. The correlation models between the NIR spectra and the reference values of five major constituents were obtained with partial least squares method.

RESULTThe identifying model accurately identified Guizhi Fuling capsule, and quantitative analytical models could precisely predicted the content of ellagic acid, baicalin, benzoylpaenoniflorin, cinnamaldehyde, and paeonol. The correlation coefficients of the calibration models were 0.924 2, 0.938 4, 0.924 2, 0.933 6, 0.934 7, the validation set coefficients of the calibration were 0.924 2, 0.938 4, 0.924 2, 0.933 6, 0.934 7, and the RMSEP were 1.138%, 3.014%, 0.751%, 0.625%, 3.455%, 1.363%, respectively. The results of external validation showed no significant difference between the predictive and the determining values by t-test.

CONCLUSIONThe method is accurate, rapid and non-destructive, and can be used for determining and identifying Guizhi Fuling capsule.

Acetophenones ; analysis ; Acrolein ; analogs & derivatives ; analysis ; Calibration ; Capsules ; chemistry ; Drug Evaluation ; methods ; Drugs, Chinese Herbal ; analysis ; Ellagic Acid ; analysis ; Flavonoids ; analysis ; Least-Squares Analysis ; Models, Chemical ; Principal Component Analysis ; methods ; Spectroscopy, Near-Infrared ; methods

OBJECTIVE To investigate the role of gonadotropin-releasing hormone (GnRH) in es-tradiol(E2 ) induced advance of puberty onset in rats. METHODS Postnatal day 18 SD rats were given a daily intragastric administration of corn oil or E2(50 μg.kg-1 ) for consecutive 5 d. The day of vaginal opening (VO), pathological changes in ovary and protein expression levels of GnRH, G protein-coupled receptor 54 ( GPR54) and phospholipase C ( PLC) in hypothalamus were observed. RESULTS As compared to corn oil controll group, VO was advanced by about 12.2 d, corpus luteum was observed in the ovary section, and the protein expression levels of GnRH,GPR54 and PLC in hypothalamus were significantly increased by 47%, 55% and 56% in E2 group, respectively. CONCLUSION E2 induced onset of puberty advance may be closely related to regulation of the expression of GnRH, GPR54 and PLC in hypothalamus.

OBJECTIVE To predict the amount of colorants used in the preparation of placebo of Chinese medicine by construc-ting particle swarm optimization-back propagation neural network PSO-BPNN compound granules,and to provide a new idea for the simulation of placebo color of Chinese medicine compound granules.METHODS The BP neural network was used to establish the model of sample color parameters L,a?,b?and pigment mass fraction.The global search ability of particle swarm optimization algo-rithm was used to optimize the weight and bias of BP neural network to prevent the local minimum value of the model.The linear reduc-tion weight coefficient method and the introduction of mutation operator were used to improve the global optimization ability of particle swarm optimization algorithm.The color comprehensive evaluation index(ΔE)was used as the objective evaluation standard to verify the test results.RESULTS The training results show that the fitting accuracy of the improved PSO-BP neural network was up to 98.31%.The prediction results show that the prediction error of the improved PSO-BP neural network was the smallest,and the mean absolute percentage error(MAPE),root mean square error(RMSE)and mean color difference(ΔE)were 0.411 5,2.164 6 and 2.56,respectively.The verification samples of three kinds of particles were prepared for verification.The ΔE of the verification sample and the model drug were 1.73,2.63 and 4.11,respectively.The color difference between the two groups and the model drug was small by visual evaluation.CONCLUSION The BP neural network based on the improved particle swarm optimization algorithm can simulate the prediction of the amount of colorants used in the preparation of Chinese medicine compound granules,and can be used as a recommended optimization model for placebo color matching research.

OBJECTIVEThe aim of this study was to examine the effect of low dose heavy ion irradiation on the subset percentage and expression of cytokines of peripheral blood lymphocytes(PBL) in patients with pancreatic cancer.

METHODSPBL from 21 patients with pancreatic cancer were divided into three groups: sham, X-ray and ¹²C⁶⁺ irradiation groups, and the cell responses were measured at 24 hours after radiation exposure. The percentages of T and NK cell subsets were detected by flow cytometry. The mRNA expression of interleukin (IL)-2, tumor necrosis factor (TNF)-α and interferon (IFN)-γ were examined by real-time quantitative RT-PCR (qRT-PCR). The cytokine protein levels in supernatant of cultured cells were assayed by enzyme-linked immunosorbent assays (ELISA).

RESULTSThe percentage of T lymphocyte subsets was significantly increased at 24 hours after exposure to low dose radiation, and the effect was more pronounced in the group receiving 0.05 Gy ¹²C⁶⁺ ion irradiation than that in the group receiving X-ray irradiation [CD3⁺ T cells: (67.15 ± 4.36)% vs. (60.81 ± 8.35)%; CD3⁺ CD4⁺ T cells: (19.02 ± 2.35)% vs. (17.21 ± 2.86)%; CD3⁺ CD8⁺ T cells: (46.59 ± 6.07)% vs. (41.18 ± 6.35)%. (P < 0.05 for all)]. However, there were no significant changes in the CD3⁺ CD4⁺/CD3⁺ CD8⁺ ratio (0.67 for sham, 0.65 for X-ray, and 0.68 for ¹²C⁶⁺ groups) and percentage of NK cell subsets (P > 0.05 for all). Expression levels of IFN-γ mRNA (cycle threshold/CT value was 23.35 ± 3.16 for ¹²C⁶⁺, CT value was 27.25 ± 2.15 for X-ray) and IL-2 (CT value was 24.19 ± 3.56 for ¹²C⁶⁺, CT value was 27.85 ± 4.08 for X-ray) in PBL, and their protein levels in the supernatant were significantly increased at 24 hours after exposure to the low dose radiation (P < 0.05). The effects were more pronounced in the group receiving 0.05 Gy ¹²C⁶⁺ ion irradiation than that in the group receiving X-ray irradiation. However, there was no significant change in the TNF-α production of PBL.

CONCLUSIONSLow dose irradiation may alleviate the immune suppression caused by tumor burden and that the effect is more pronounced for 0.05 Gy high linear energy transfer (LET) ¹²C⁶⁺ irradiation. The percentage of T cell subsets and cytokines production could be used as sensitive indicators of acute response to low dose irradiation.

CD4-CD8 Ratio ; CD4-Positive T-Lymphocytes ; metabolism ; CD8-Positive T-Lymphocytes ; metabolism ; Cytokines ; metabolism ; Dose-Response Relationship, Radiation ; Enzyme-Linked Immunosorbent Assay ; Flow Cytometry ; Heavy Ions ; Humans ; Interleukin-2 ; metabolism ; Killer Cells, Natural ; Lymphocytes ; metabolism ; radiation effects ; Pancreatic Neoplasms ; metabolism ; radiotherapy ; Tumor Necrosis Factor-alpha ; metabolism

Objective:To report for the first time the clinicopathologic characteristics of two patients with light chain deposition disease after renal transplantation.Methods:The clinicopathologic features were analyzed for two patients with light chain deposition disease and the related literature was reviewed.Case 1 was a 49-year-old male with unknown primary disease presenting with abnormal urine test and elevated serum creatinine at 24 months after kidney transplantation. Renal allograft biopsy hinted at light chain deposition disease. Case 2 was a 38-year-old male with light chain deposition disease in native kidneys presenting with proteinuria, microscopic hematuria and elevated serum creatinine at 15 months after kidney transplantation. Renal allograft biopsy supported recurrent light chain deposition disease.Results:1 case after bortezomib and dexamethasone dosing, serum creatinine decreased during follow-ups. 1 case received bortezomib and dexamethasone. However, sepsis and pulmonary infections developed and allograft function deteriorated.Conclusions:Light chain deposition disease after renal transplantation is a rare disorder with a rapid progression and a poor prognosis. Early detection of free light chain in blood and urine through immune fixed electrophoresis is conducive to an early diagnosis. The efficacy of bortezomib is to be furthered examined.

Objective:To explore the risk factors and time distribution of renal relapse in patients with lupus nephritis (LN).Methods:Clinical, pathological characteristics and long-term outcomes of LN patients who were diagnosed and followed in Jinling Hospital from January 2004 to December 2008 were retrospectively analyzed. The patients were divided into relapse group and non-relapse group. The differences of clinical pathological characteristics between the two groups were compared. The multivariate Cox proportion risk model was used to analyze the risk factors affecting renal relapse in LN. The risk factors and time distribution of renal relapse were analyzed with annual relapse risk-time curve.Results:A total of 814 patients with LN were included in the study, with 419 cases (51.5%) of complete remission and 395 cases (48.5%) of partial remission. The age was (30.24±10.90) years old, and there were 112 males (13.8%). There were 367 patients suffering renal relapse. The time of first renal relapse was (3.21±2.70) years. The results of multivariate Cox regression showed that age ( HR=0.976, 95% CI 0.966-0.986, P<0.001), renal pathological activity index (AI) score ( HR=1.039, 95% CI 1.013-1.065, P=0.003), remission status after induction treatment ( HR=0.671, 95% CI 0.504-0.894, P=0.006), 24 h urinary protein quantitation ( HR=1.297, 95% CI 1.115-1.508, P=0.001), anti-double strand DNA antibody (A-dsDNA, HR=1.450, 95% CI 1.139-1.846, P=0.003) and complement C3 ( HR=0.223, 95% CI 0.128-0.389, P<0.001) were correlated with increasing risk of renal relapse in LN. The annual relapse risk profile was unimodal, with a peak period of the second year after maintenance treatment. Similar patterns of relapse were presented in subgroup analysis. Conclusions:Age, renal pathological AI score, remission status after induction therapy, 24 h urine protein, A-dsDNA and blood complement C3 are the influencing factors for relapse of LN patients. The peak period of renal relapse in patients with LN is in the second year of maintenance therapy.