OBJECTIVETo determine the plasma protein binding rates of brucine and strychnine in total alkaloids from the seed of Strychnou nux-vomica, and make comparison with the single components at the same concentration.

METHODUltrafiltration was employed to determine the rat the plasma protein binding rate of the alkaloids from the seed of S. nux-vomica. The plasma concentrations were measured by RP-HPLC.

RESULTThe protein binding rates of brucine were (65.60 3.01)%, (68.20 +/- 7.80)%, (59.58 +/- 3.78)% when the plasma concentrations was 0.520, 1.300, 2.600 mg x L(-1), respectively. The protein binding rates of strychnine was (66.17 +/- 6.36)%, (67.10 +/- 2.52)%, (57.21 +/- 0.79)% when the plasma concentrations were 0.936, 2.340, 4.680 mg x L(-1) respectively. As to the total alkaloids from the seed of S. nux-vomica, The protein binding rate of brucine was (62.19 +/- 2.45)%, (69.55 +/- 5.84)%, (61.76 +/- 3.68)% when the plasma concentrations were 0.519, 1.288, 2.607 mg x L(-1), respectively. And the protein binding rates of strychnine were (54.79 +/- 3.55)%, (57.13 +/- 4.49)%, (59.31 +/- 3.65)% when the plasma concentrations were 0.940, 2.338, 4.674 mg x L(-1), respectively.

CONCLUSIONBrucine and strychnine have medium capacity in binding to plasma protein. In comparison with the single component of the same concentration, the protein binding rate of brucine in total alkaloids shows little difference, while there seems to be an obvious decrease for strychnine.

Alkaloids ; analysis ; pharmacokinetics ; Animals ; Blood Proteins ; chemistry ; metabolism ; Drugs, Chinese Herbal ; analysis ; pharmacokinetics ; Protein Binding ; Rats ; Rats, Sprague-Dawley ; Seeds ; chemistry ; Strychnos ; chemistry

UNLABELLEDOBJECTIVE To investigate the effect of tea on oral cancer in nonsmokers and nondrinkers.

METHODSA case-control study were performed between September 2010 and January 2015 including 203 oral cancer cases in nonsmokers and nondrinkers with pathologically confirmed and 572 community controls. The related information included socio-demographic characteristics, detailed information on tobacco smoking and alcohol and tea consumption, personal medical history, family history of cancer, and occupational history were collected from all subjects. Unconditional logistic regression analysis was used to calculate the odds ratios (OR) and 95% confidence intervals (95% CI) to examine the effect of tea on oral cancer and to assess multiplicative interactions between tea and passive smoking. We also stratified by age, sex, residence, and passive smoking to explore possible difference in association between subgroups. Additive interactions between tea and passive smoking were assessed using relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI).

RESULTSCompared with non-tea drinkers, tea consumption (OR = 0.52, 95% CI: 0.34-0.81), age of tea drinking initiation (years) ≥ 18 (OR = 0.54, 95% CI: 0.34-0.85), duration of tea consumption (years) < 20 (OR = 0.49, 95% CI: 0.27-0.90), duration of tea consumption (years) ≥ 20 (OR = 0.55, 95% CI: 0.32-0.95), average daily tea consumed < 700 ml (OR = 0.52, 95% CI: 0.32-0.86), moderate concentration of tea consumed (OR = 0.56, 95% CI: 0.32-0.96), weak concentration of tea consumed (OR = 0.35, 95% CI: 0.16-0.77), drinking green-tea (OR = 0.48, 95% CI: 0.28-0.82) and drinking moderate temperature of tea (OR = 0.55, 95% CI: 0.31-0.98) could reduce the risk of oral cancer; Stratified analysis indicated the protective effects of tea drinking on female (OR = 0.53, 95% CI: 0.30-0.94), age < 60 years old (OR = 0.53, 95% CI: 0.29-0.97), live in the urban (OR = 0.38, 95% CI: 0.20-0.69) and no passive smoking (OR = 0.47, 95% CI: 0.25-0.86) population with nonsmoking and nondrinking was more obvious; Crossover analysis showed tea and passive smoking did not exist multiplication interaction relationship (OR = 0.95, 95% CI: 0.41-2.20) and addition interaction relationship (RERI = -0.15, 95% CI: -0.92-0.62;AP = -0.16, 95% CI: -1.06-0.73; SI = -0.18, 95% CI: -1.44-0.87).

CONCLUSIONTea consumption, age of tea drinking initiation, duration of tea consumption, average daily tea consumed, concentration of tea consumed, types of tea and temperature of tea might have impact on the incidence of oral cancer in nonsmokers and nondrinkers to a certain extent.

Alcohol Drinking ; Case-Control Studies ; Female ; Humans ; Incidence ; Middle Aged ; Mouth Neoplasms ; epidemiology ; Odds Ratio ; Risk Factors ; Smoking ; Tea ; Temperature ; Tobacco Smoke Pollution

OBJECTIVETo investigate the clinical influence factors of oral-maxillofacial benign tumors.

METHODSWe conducted a case-control study with 113 cases newly diagnosed primary oral-maxillofacial benign tumors and 584 cases controls from a hospital in Fujian from September 2010 to January 2015. Epidemiological data were collected by in-person interviews using a standard questionnaire. The contents of the questionnaire included demography character, history of tobacco smoking and alcohol drinking, dietary habits, oral hygiene status, family history of cancer, etc. Unconditional logistic regression was used to research the relationship between the factors and oral-maxillofacial benign tumors.

RESULTSMultivariable analysis showed that risk factors of oral-maxillofacial benign tumors included: cigarette smoking index above 1 000, passive smoking before the age of 18, age of wearing bad prosthesis between 33 to 55 years old and high blood pressure; the corresponding OR (95% CI) values were 14.63 (3.88-55.13), 2.34 (1.19-4.62), 2.35 (1.17-4.73), 3.46 (1.71-7.00), respectively; Protective factors included: regularly intake of meat above 1 time/day, fruits, health care products and vitamin tablets, brushing teeth above 1 time per day and oral examination above 5 years/time, the corresponding OR (95% CI) values were 0.22 (0.07-0.70), 0.18 (0.08-0.41), 0.32 (0.11-0.88), 0.22 (0.07-0.73), 0.28 (0.16-0.48), 0.28 (0.13-0.60), respectively.

CONCLUSIONAbstinence from tobacco smoking, reduce passive smoking before the age of 18, regularly intake of meat, fruits, health care products and vitamin tablets, and oral examination at regular time might have impact on the incidence of oral-maxillofacial benign tumors to a certain extent.

Alcohol Drinking ; Case-Control Studies ; Demography ; Diet ; Humans ; Incidence ; Logistic Models ; Mouth Neoplasms ; epidemiology ; Oral Hygiene ; Risk Factors ; Smoking ; Surveys and Questionnaires ; Tobacco Smoke Pollution

OBJECTIVETo investigate the association between oral hygiene, chronic diseases, and oral squamous cell carcinoma.

METHODSWe performed a case-control study with 414 cases and 870 controls in Fujian during September 2010 to January 2015. Patients were newly diagnosed oral squamous cell carcinoma cases according to the pathologic diagnoses, control subjects were enrolled from community population. Epidemiological data were collected by in-person interviews using a standard questionnaire. The contents of the questionnaire included demography character, history of tobacco smoking and alcohol drinking, dietary habits, oral hygiene status, family history of cancer, etc. Using unconditional logistic regression analysis to estimate adjusted odds ratios (OR) and corresponding 95% confidence intervals (CI) for oral hygiene and chronic diseases. We also stratified by sex, smoking and drinking to explore possible difference in association between subgroups.

RESULTSThe multivariate logistic regression analysis indicated that number of teeth (20-27 and < 20), bad prosthesis, recurrent oral ulceration were the risk factors of oral squamous cell carcinoma, the adjusted OR (95% CI) values were 2.01 (1.49-2.73), 3.51 (2.39-5.15), 2.33 (1.79-3.04), 3.96 (2.11-7.44), respectively; brushing tooth once per bay, brushing tooth more than once per day, regular oral health examination at least 5 years per time were the protective factors of oral squamous cell carcinoma, the adjusted OR (95% CI) values were 0.24 (0.13-0.43), 0.13 (0.07-0.24), 0.37 (0.26-0.53), respectively. The stratification analysis indicated that recurrent oral ulceration could increase the risk of oral squamous cell carcinoma for non-smokers and non-drinking, the adjusted OR (95% CI) value was 5.21 (2.42-11.18) and 4.71 (2.37-9.36); and a risky effect of hypertension on risk of oral squamous cell carcinoma was observed for non-smokers and non-drinking, the adjusted OR (95% CI) values were 1.70 (1.10-2.61) and 1.58 (1.07-2.34).

CONCLUSIONSOral hygiene and chronic diseases could affect the incidence of oral squamous cell carcinoma.

Alcohol Drinking ; Carcinoma, Squamous Cell ; epidemiology ; Case-Control Studies ; Chronic Disease ; epidemiology ; Diet ; Humans ; Incidence ; Mouth Neoplasms ; epidemiology ; Odds Ratio ; Oral Hygiene ; Risk Factors ; Smoking ; Surveys and Questionnaires

OBJECTIVETo examine apoptosis of SMMC-7721 hepatocarcinoma cells induced by total flavonoids of Oxytropis falcata (TFOF) and its preliminary mechanism.

METHODSMMC-7721 cells were treated for 24 h with TFOF in different concentrations. Inhibition on proliferation of SMMC-7721 cells was assessed by MTT assay. The morphology of treated SMMC-7721 cells was observed by optical microscope. Effect of TFOF on the nuclear morphology of cells was analyzed using Hoechst 33258 staining by fluorescence microscope. Annexin V-FITC/PI staining and flow cytometric measurement were used for investigating the effect of TFOF on induction of apoptosis in SMMC-7721 cells and cell cycle analysis.

RESULTThe results of MTT assay showed that TFOF could induce cytotoxicity in SMMC-7721 cells in a dose-dependent manner. Hoechst 33258 staining analysis indicated that TFOF caused typical characteristics of apoptotic programmed cell death, such as cell shrinkage, apoptotic body formation etc. Flow cytometric analysis demonstrated that TFOF caused a dose-dependent apoptosis of SMMC-7721 cells and arrested cell cycle in G1 phase.

CONCLUSIONIt suggested that TFOF inhibit proliferation of SMMC-7721 cells by inducing apoptosis of the cells and arresting cell cycle in G1 phase.

Antineoplastic Agents, Phytogenic ; pharmacology ; Apoptosis ; drug effects ; Carcinoma, Hepatocellular ; drug therapy ; physiopathology ; Cell Cycle ; drug effects ; Cell Line, Tumor ; Drugs, Chinese Herbal ; pharmacology ; Humans ; Liver Neoplasms ; drug therapy ; physiopathology ; Oxytropis ; chemistry

We report a complete genomic sequence of rare isolates (minor genotype) of the SARS-CoV from SARS patients in Guangdong, China, where the first few cases emerged. The most striking discovery from the isolate is an extra 29-nucleotide sequence located at the nucleotide positions between 27,863 and 27,864 (referred to the complete sequence of BJ01) within an overlapped region composed of BGI-PUP5 (BGI-postulated uncharacterized protein 5) and BGI-PUP6 upstream of the N (nucleocapsid) protein. The discovery of this minor genotype, GD-Ins29, suggests a significant genetic event and differentiates it from the previously reported genotype, the dominant form among all sequenced SARS-CoV isolates. A 17-nt segment of this extra sequence is identical to a segment of the same size in two human mRNA sequences that may interfere with viral replication and transcription in the cytosol of the infected cells. It provides a new avenue for the exploration of the virus-host interaction in viral evolution, host pathogenesis, and vaccine development.
Base Sequence ; China ; Cluster Analysis ; Gene Components ; Genetic Variation ; Genome, Viral ; Genotype ; Molecular Sequence Data ; Phylogeny ; Reverse Transcriptase Polymerase Chain Reaction ; SARS Virus ; genetics ; Sequence Analysis, DNA ; Severe Acute Respiratory Syndrome ; genetics

Objective: To investigate the effects between fish, seafood and pickled food intakes on oral squamous cell carcinoma (OSCC). Methods: A case-control study was carried out in Fujian area during September 2010 to December 2016, in which 604 newly diagnosed primary OSCC cases confirmed by pathological diagnosis were collected from hospital and 1 343 control subjects were enrolled from community and healthy hospital population. Demographic data, history of smoking drinking and tea drinking, oral hygiene status and dietary behaviors (fish, seafood and pickled food intakes) were collected by in-person interviews using a standard questionnaire.Using unconditional logistic regression to estimate adjusted odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to assess the effects of fish, seafood and pickled food intakes on OSCC. Analysis stratified by smoking, alcohol drinking and bad prosthesis to explore the possible difference in association between subgroups. Multiplicative interactions and additive interactions between fish and bad prosthesis, seafood and alcohol drinking, pickled food and bad prosthesis were assessed by unconditional logistic regression, relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (S). Results: The average age of case group and control group were separately (58.69±13.92) years old and (59.27±11.37) years old (χ²=4.75, P=0.191). The people whose fish and seafood intakes ≥3 times/week had the lower risk of OSCC, the adjusted OR (95%CI) values were 0.63 (0.52-0.77) and 0.51 (0.41-0.64); The stratified analysis indicated that the people having bad prosthesis had the lower risk of OSCC if they eating fish ≥3 times/week, and the adjusted OR (95%CI) values was 0.53 (0.39-0.71); the people having bad prosthesis had the higher risk of OSCC if they eating pickled food ≥3 times/week, the adjusted OR (95%CI) values was 1.37 (1.02-1.88). Regularly eating seafood can decrease the risk of OSCC for non-smokers, smokers, non-drinkers, drinkers, people without bad prosthesis and had bad prosthesis, the adjusted OR (95%CI) values were 0.49 (0.36-0.68), 0.52 (0.37-0.73), 0.41 (0.31-0.55), 0.77 (0.51-0.96), 0.49 (0.36-0.67), 0.59 (0.42-0.83). Crossover analysis showed fish and bad prosthesis exist multiplication interaction relationship (adjusted OR=0.66, 95%CI: 0.44-0.97) and additional interaction relationship (RERI=-0.81, 95%CI:-1.43--0.19; AP=-0.76, 95%CI:-1.35--0.17; S=0.08, 95%CI: 0.01-0.98); pickled food and bad prosthesis exist multiplication interaction relationship (adjusted OR=1.63, 95%CI: 1.06-2.51) and addition interaction relationship (RERI=0.65, 95%CI:0.08-1.22; AP=0.36, 95%CI:0.10-0.62; S=5.19, 95%CI:1.32-54.49). Conclusion Reducing the consumption of pickled food, quitting smoking and limiting alcohol consumption, and regularly eating fish and seafood can prevent the occurrence of OSCC.

This article has systematically sorted out and verified the name， origin， producing area， quality evaluation， harvesting and processing of Pruni Semen by consulting ancient materia medica， medical books， prescription books and modern literature， in order to provide a basis for the development of famous classical formulas containing Pruni Semen. The results showed that Pruni Semen， as a medicinal material， has been widely used in medical literature of past dynasties since it was collected in Shennong Bencaojing， and also included under the names such as Yuhe， Yuzi and Yuli， and aliases such as Jueli， Queli and Chexiali. The primordial plants mentioned in the past dynasties involve about 12 species of Rosaceae， but with Prunus humilis， P. japonica and P. glandulosa as mainstream varieties used in the past dynasties， while the 2020 edition of Chinese Pharmacopoeia stipulates that the basal plants are P. humilis， P. japonica and P. pedunculata. Most of the ancient records for the origin of Pruni Semen are found everywhere in high mountains， valleys and hills， modern literature records that its origin varies according to its base， for example， P. humilis and P. japonica are mainly produced in Hebei， eastern Inner Mongolia， Liaoning， Shandong and other regions of China， and P. pedunculata is mainly produced in Inner Mongolia. Modern literature summarizes its quality as faint yellow， full and fulfilling， neat and not broken， and non-oiling， and the small Pruni Semen is better than the big Pruni Semen. The ancient processing methods of Pruni Semen mainly include blanching and peeling， blanching and peeling followed by frying， and blanching and peeling followed by pounding， with the common feature of blanching and peeling. The successive editions of Chinese Pharmacopoeia stipulate that it should be pounded when used. Based on the results of the herbal textual research and the writing time of Bianzhenglu， and combined with the market survey of Pruni Semen， it is suggested that P. humilis or P. japonica should be used as the origin of Pruni Semen in Sanpiantang， and it is harvested when the fruits are ripe， the kernels are collected by removing the stones， and processed by blanching， peeling and pounding consulting the decoction method in the current edition of Chinese Pharmacopoeia.

Objective: To evaluate the influence of oral hygiene on risk of oral cancer in non-smoking and non-drinking women. Methods: From September 2010 to February 2016, 242 non-smoking and non-drinking female patients with pathologically confirmed oral cancer were recruited in a hospital of Fuzhou, and another 856 non-smoking and non-drinking healthy women from health examination center in the same hospital were selected as control group. Five oral hygiene related variables including the frequency of teeth brushing, number of teeth lost, poor prosthesis, regular dental visits and recurrent dental ulceration were used to develop oral hygiene index model. Unconditional logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (95%CI). The area under the receiver operating characteristic curve (AUROC) was used to evaluate the predictability of the oral hygiene index model. Multivariate logistic regression model was used to analyze the association between oral hygiene index and the incidence of oral cancer. Results: Teeth brushing <2 twice daily, teeth lost ≥5, poor prosthesis, no regular dental visits, recurrent dental ulceration were risk factors for the incidence of oral cancer in non-smoking and non-drinking women, the corresponding OR (95%CI) were 1.50 (1.08-2.09), 1.81 (1.15-2.85), 1.51 (1.03-2.23), 1.73 (1.15-2.59), 7.30 (4.00-13.30), respectively. The AUROC of the oral hygiene index model was 0.705 9, indicating a high predictability. Multivariate logistic regression showed that the oral hygiene index was associated with risk of oral cancer. The higher the score, the higher risk was observed. The corresponding OR (95%CI) of oral hygiene index scores (score 1, score 2, score 3, score 4-5) were 2.51 (0.84-7.53), 4.68 (1.59-13.71), 6.47 (2.18-19.25), 15.29 (5.08-45.99), respectively. Conclusion Oral hygiene could influence the incidence of oral cancer in non-smoking and non-drinking women, and oral hygiene index has a certain significance in assessing the combined effects of oral hygiene.

Background The association between serum nickel (Ni) and oral cancer incidence is unclear and most of the previous studies were observational studies that did not control for confounding factors between groups. Objective To assess the correlation of serum Ni with oral cancer incidence based on propensity score matching (PSM) and inverse probability of treatment weighting (IPTW). Methods A cohort of 456 newly diagnosed oral cancer patients was recruited from the First Hospital of Fujian Medical University during November 2011 to May 2019, and residents ordered their health check-up in hospitals or local community health centers over the same period were selected as a control group, which included a total of 1410 participants. Serum Ni was evaluated by inductively coupled plasma mass spectrometry. Case-control pairs were selected using a 1:1 PSM (caliper value of 0.02), and the study subjects in the case group and control group were weighted for subsequent analysis by IPTW. The general characteristics of the study subjects were tested for equilibrium before and after matching by chi-square test and standardized mean difference (SMD). This was followed by exploring the potential nonlinear dose-response relationship between serum Ni and oral cancer using restricted cubic splines as well as analyzing the association between serum Ni and oral cancer incidence by conditional logistic regression and weighted logistic regression. Results After controlling for between-group covariates by PSM and IPTW, the dose-response curves demonstrated that the risk of developing oral cancer tended to decline and then increase with the increasing serum Ni level. The outcome of the analysis using PSM demonstrated that as compared to the control group, the risk of developing oral cancer in the 0.09-16.80 μg·L⁻¹ serum Ni group was negatively correlated with serum Ni level (OR=0.36, 95%CI: 0.24-0.54), whereas the risk of developing oral cancer in the >16.80 μg·L⁻¹ serum Ni group was positively correlated with serum Ni level (OR=5.43, 95%CI: 2.76-10.68). After applying IPTW, a negative association was found between the risk of oral cancer and serum Ni concentration within a serum Ni window ranging from 0.09 to 20.55 μg·L⁻¹ (OR=0.39, 95%CI: 0.29-0.52), while a positive association with an OR and 95%CI of 5.54 (3.62-8.49) for the Ni concentration > 20.55 μg·L⁻¹. Conclusion In this study, a J-shaped relationship between serum Ni concentration and the risk of developing oral cancer is found, which shows that high serum Ni concentration (>20.55 μg·L⁻¹) may be a risk factor for oral cancer.