C.Conclusion: The drug releasing rate of Icariin Ointment made of emulsion ointment base is the fastest.

Objective To explore the association between sleep quality and the increasing risk of type 2 diabetes mellitus (T2DM).Methods A total of 771 patients aged 25-70 years living in Xuzhou City of Jiangsu Province for at least 5 years were enrolled for the survey of risk factor related noninfectious chronic disease in 2013.In this investigation,those who suffered from other types of diabetes,neuropathy,other endocrine disease,cardiovascular,renal and hepatic dysfunction,dyspnea or cancer were excluded.To reduce the influence of confounding factors,another 771 participants were enrolled as controls.Each case was arranged to have a control who was matched in age (difference not more than 3 years),gender,residence and family history.All the participants were interviewed with self-designed questionnaire,and sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI) questionnaire.Student's t test,Chi-square and multivariate logistic regression were used for data analysis.Results The PSQI score in the T2DM patients vs.the controls were 5.15±2.40 vs.2.71 ± 1.93 (t=21.96,P＜0.01).The scores of sleep-related factors,including subjective poor sleep quality,bedtime resistance,short sleep duration,sleep efficiency,sleep disturbance,use of sleep medication and daytime dysfunction,of the T2DM patients were higher than those of the controls.The proportion of sleep related behaviors of the T2DM patients was higher,except for early awakening,cold feeling and nightmare.Poor sleep quality was associated with the increasing risk of T2DM (odds ratio 2.06,95％ CI 1.69-2.52).In multivariate logistic regression,when adjusted for confounding factors,the risk of T2DM was still increased (odds ratio 1.72,95％ CI 1.62-1.83).Sleep-related factors (e.g.subjective poor sleep quality,bedtime resistance,short sleep duration,sleep efficiency and sleep disturbance) were correlated with the risk of T2DM (odds ratio was 3.34,1.63,1.10,1.87 and 3.89,respectively).Conclusion Low quality of sleep may be strongly associated with an increased risk of T2DM.

Objective:To explore the effect of cognitive-behavioral therapy on psychological stress and quality of life in patients with pulmonary tuberculosis.Methods:According to two-level cluster random design 461 patients with tuberculosis from 20 communities in Pizhou county of Jiangsu province were selected in the study from September 2018 to November 2018. The intervention group received cognitive-behavioral therapy for two months, while control group received routine follow-up. Anxiety, depression and quality of life were assessed by GAD-7, PHQ-9 and SF-36 scales, respectively. At the same time, the comparison between the two groups was conducted by independent sample t test, and the difference between the two groups before and after treatment was analyzed by paired sample ttest. Results:A total of 454 participants were finally included in this analysis; there were 230 cases in the intervention group and 224 cases in the control group. In the intervention group the scores of anxiety and depression after intervention were significantly lower than the baseline scores [(7.57±5.27) vs. (5.93±2.56), t=-4.245, P<0.01; (8.13±6.01) vs. (6.02±2.67); t=-4.866, P<0.01], and the quality of life score was significantly higher than the baseline score [(58.46±12.71) vs. (74.31±13.22); t=13.108, P<0.01]; while in the control group there were no significant differences in the scores of anxiety, depression and quality of life after intervention, compared with those at baseline [(7.62±5.41) vs.(7.65±5.38); (8.00±5.84) vs. (8.07±5.91); (59.11±13.25) vs. (60.51±13.76); t=0.059, t=0.126, t=1.104, all P>0.05]. However, only for patients with mild and moderate anxiety and depression symptoms in the intervention group, the anxiety and depression scores were decreased after intervention [(7.29±1.21) vs. (5.54±1.71), (11.99±1.31) vs. (9.17±1.55); (7.01±1.47) vs. (4.42±1.22), (11.88±1.12) vs. (8.39±2.33); t=8.056, t=10.020, t=13.558, t=8.852,all P<0.01]. Conclusion:Cognitive-behavioral therapy can relieve the psychological pressure and improve the quality of life in pulmonary tuberculosis patients with mild or moderate anxiety/depression symptoms.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.