Objective To develop a simple test method to determine lead in the food by atomic absorption spectrometry. Methods Based on the system of HCl-K3Fe(CN)6-KBH4, lead in the food samples was oxidized into Pb4+ and formed PbH4 in the continuous flow injection hydride generator and then the PbH4 vapour was put into atomization, the atomic absorption spectrometry was used to determine lead. Results The detection limit was 0.070 ?g /L, the linear range of standard curve was 0-16 ?g /L, the correlation coefficient (r) was 0.999 5, RSD was less than 1.92% for the standard solution, and less than 3% for food samples, average recovery rate was 97%. Conclusion This method is simple, low cost and applicable to the determination of trace lead in the food.

MicroRNA (miRNA) controls the proliferation of breast cancer cells in many ways such as cell apotosis,cell cycle and methyltransferase.Also,it controls the metastasis of breast cancer cells in many ways such as microenvironment,epithelial-mesenchymal transition and vessel formation.Large amounts of recent studies indicate that miRNAs are specifically expressed in breast cancer tissue and play important roles in proliferation,metastasis and treatment of breast cancer.

Objective To investigate the effect of GM 1 on vasospasm after subarachnoid hemorrhage.Methods Twenty-five wistar rats receiving intracisternal injection of 0.15 ml autologous nonheparinized blood or 0.15 ml saline two times were divided into five groups as follows: control group, cerebral vasospasm (CVS) group, Nimodipine group, GM 1 therapy group and GM 1 prevent group. The cortical regional cerebral blood flow (rCBF) was measured by hydrogenate clearance method at 0, 0.5, 1, 3 and 6h respectively. After perfusion and fixation, capillary vessels in temporal lobe cortex were labeled with anti-factor Ⅷ and observed by microvascular graphic analysis. Results (1) Compared with control group, rCBFs in CVS group, Nimodipine group and GM 1 therapy group were apparently decreased after second intracisternal blood injection (all P

OBJECTIVETo investigate the effect of smoking on the microRNAs (miRNAs) expression in pneumoconiosis patients.

METHODSReal-time qPCR was used to measure the expression levels of miR-21, miR-200c, miR-16, miR-204, miR-206, miR-155, let-7g, miR-30b, and miR-192 in 36 non-smoking patients with pneumoconiosis and 38 smoking patients with pneumoconiosis, and the differences in expression levels between the two groups were evaluated by two-independent samples t-test.

RESULTSThe expression of miR-192 in serum showed a significant difference between non-smoking and smoking pneumoconiosis patients (P < 0.05), and it decreased gradually in smoking patients with stage I and II pneumoconiosis. In the serum of all pneumoconiosis patients, the expression level of miR-16 was the highest, while the expression level of miR-204 was the lowest.

CONCLUSIONPneumoconiosis patients have differential expression of miRNAs in serum, and smoking has an effect on the miRNAs expression in pneumoconiosis patients.

Humans ; MicroRNAs ; biosynthesis ; Pneumoconiosis ; metabolism ; physiopathology ; Polymerase Chain Reaction ; Smoking ; adverse effects

Objective:To explore the efficacy and compliance of e-aid cognitive behavioral therapy (eCBTI) in patients with situational insomnia among different age groups.Methods:A total of 194 patients with situational insomnia were recruited via a campaign of the " Prevention and Protection Handbook Against Epidemic" from March to April 2020 in Guangzhou, China.Participants were divided into two groups according to age: under 35 years old ( n=87) and 35 years old and above ( n=107). They all received one-week eCBTI intervention.Insomnia severity index (ISI), Pre-sleep arousal scale (PSAS) and Hospital anxiety and depression scale (HADS) were used to evaluate the severity of insomnia for all participants pre- and post-intervention.The change of each scale within the group and the reduction rate of each scale between groups were compared using t test and one-way ANOVA. Results:(1) Intervention efficacy: in the <35-year-old group, compared with baseline, the scores of ISI scale ((9.2±4.1), (14.8±5.1)), PSAS cognitive arousal subscale ((18.5±8.4), (23.5±6.6)), PSAS((34.3±15.8), (40.3±10.7)), HADS depression subscale ((5.8±3.6), (8.5±4.6)) and HADS anxiety subscale((7.1±3.9), (9.5±4.5) )were statistically significant after eCBTI intervention ( t= 2.88-8.80, all P<0.01), but there was no significant difference in score of PSAS body subscale ((15.8±7.8), (16.8±5.7)). In ≥35-year-old group, compared with baseline, the scores of ISI scale ((9.7±4.2), (14.4±4.3)), HADS depression subscale ((4.6±2.2), (6.6±3.5))and PSAS cognitive arousal subscale ((16.9 ±8.5), (20.0±5.8))were significantly different after intervention ( t= 2.90-6.86, all P<0.01), meanwhile the scores of PSAS body subscale ((14.3±8.0), (13.9±5.2)), PSAS((32.2±16.5), (33.9±9.2)), HADS anxiety subscale((6.1±3.2), (7.0±3.5)) were not statistically significant (all P>0.05). There was no significant difference in the score reduction rate between the two groups before and after intervention (all P>0.05). (2) Compliance: 86 cases dropped out, and the dropout rate was 61.3%.Totally 75 cases (38.7%) completed the 7-day treatment, and 119 cases (61.3%) completed the treatment within 1-6 days.Further study found that there was statistically significant difference in the reduction rate of ISI total score among the three groups with excellent, good and poor compliance ( F=5.655, P=0.004). Conclusion:eCBTI has a good effect on situational insomnia in different age groups, and there is no difference in treatment compliance.

AIM:To establish a nomogram model to predict the effect of serum ferritin on diabetic retinopathy and evaluate the model.METHODS:A total of 21 variables, including ferritin, were screened by univariate and multivariate regression analysis to determine the risk factors of diabetic retinopathy. A nomogram prediction model was established for evaluation and calibration.RESULTS:Ferritin, duration of diabetes, hemoglobin, urine microalbumin, regularity of medication and body mass index were included in the nomogram model. The consistency index of the prediction model with serum ferritin was 0.813(95%CI: 0.748-0.879). The calibration curves of internal and external verification showed good performance, and the probability of the threshold suggested by the decision curve was in the range 10% to 90%. The model had a high net profit value.CONCLUSIONS:Serum ferritin is an important risk factor for diabetic retinopathy. A new nomogram model, which includes body mass index, duration of diabetes, ferritin, hemoglobin, urine microalbumin and regularity of medication, has a high predictive accuracy and could provide early prediction for clinicians.

OBJECTIVE: To test the validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire (MPIQ) in college students. METHODS: We assessed the degree of phone dependence using the MPIQ among 2122 college students. One month later, 60 students were randomly selected for assessment with the MPIQ, and the ROC curve was generated to evaluate the true positive rate (sensitivity) and false positive rate at different cutoff values to determine the optimal cutoff score of the MPIQ. RESULTS: Among 98.9% of the participants who finished all the items, their MPIQ scores show a positive skew distribution and a one-factor structure. The load scores of the items ranged from 0.54 to 0.77. The Cronbach's α coefficient and the Spearman Brown split reliability were 0.84 and 0.83, respectively, the correlation coefficients between the items and total score ranged from 0.54 to 0.76, and the test-retest reliability was 0.48 ( < 0.001). At the optimal cut-off score of 32, the sensitivity and the specificity of the MPIQ were 0.634 and 0.652, respectively. CONCLUSIONS At the optimal cut-off score of 32, the MPIQ has good validity and reliability for assessing phone dependence among college students.
Cell Phone ; Humans ; Reproducibility of Results ; Students ; Surveys and Questionnaires