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1.
Chinese Journal of Natural Medicines (English Ed.) ; (6): 153-160, 2021.
Article in English | WPRIM | ID: wpr-881056

ABSTRACT

Fufang Danshen preparation (FDP) is consisted of Salviae Miltiorrhizar Radix et Rhizoma (Danshen), Notoginseng Radix et Rhizoma (Sanqi) and Borneolum Syntheticum (borneol). FDP is usually used to treat myocardial ischemia hypoxia, cerebral ischemia and alzheimer's disease, etc. In the treatment of cerebrovascular diseases, borneol is usually used to promote the absorption and distribution of the bioactive components to proper organs, especially to the brain. The purpose of this study is investigating the effects of borneol on the pharmacokinetics and brain distribution of tanshinone IIA (TS IIA), salvianolic acid B (SAB) and ginsenoside Rg1 in FDP. Male healthy Sprague-Dawley (SD) rats were given Danshen extracts, Sanqi extracts (Panax notoginsengsaponins) or simultaneously administered Danshenextracts, Sanqi extracts and borneol. Plasma and brain samples were collected at different points in time. The concentration of TS IIA, SAB and Rg1 was determined by UPLC-MS/MS method. The main pharmacokinetics parameters of plasma and brain tissue were calculated by using Phoenix WinNolin 6.1 software. In comparison with Danshen and Sanqi alone, there were significant differences in pharmacokinetic parameters of TS IIA, SAB and Rg1, and the brain distribution of SAB and TS IIA when Danshen, Sanqi and borneol were administrated together. Borneol statistically significant shortened t

2.
Journal of Peking University(Health Sciences) ; (6): 474-481, 2018.
Article in Chinese | WPRIM | ID: wpr-941649

ABSTRACT

OBJECTIVE@#To provide autonomy support from three dimensions based on self-determination theory (SDT), i.e. professional support, peer support, family support, and to investigate whether this intervention can improve diabetes self-management behavior and glycemic control of diabetic patients, and to analyze the influencing factors of the effect.@*METHODS@#Using convenient sampling method, three communities were selected respectively in Beijing. Each community selected health service stations with similar conditions as different intervention groups. The diabetic patients managed by the station who were eligible for inclusion were recruited into this intervention group. The community stations were divided into three groups. The routine intervention group only issued knowledge manuals and conducted health management according to the requirements of basic public health services. Peer support groups were divided into small groups and carried out doctor-led group activities. Based on doctor-led peer support activities, the doctors and peers were trained to provide autonomy support based on self-determination theory, and their family members were trained in the form of manuals to provide autonomy support, forming a concerted support of the three dimensions. Activity processes and materials were also designed based on SDT. The intervention duration was 3 months, and the main evaluation indexes were HbA1c and patients' self-management behaviors, skills, knowledge, and self-efficacy scores.@*RESULTS@#Before and after the intervention, the HbA1c of routine intervention group were 7.40%±1.37%, 7.30%±1.18%. The HbA1c of peer support group before and after the intervention were 7.33%±1.15% and 7.13%±1.27%. The HbA1c of autonomy support group before and after the intervention were 7.42%±1.22% and 6.78%±0.80%. Before and after the intervention, the self-management score in routine intervention group was 10.54±2.28 and 10.80±2.15, the score in peer support group was 11.09±1.89 and 11.40±1.78, the score in autonomy support group was 10.34±1.99 and 11.10±1.65, respectively. The HbA1c and self-management score increased higher in autonomy support group than in the other two groups. After intervention, the control rate in autonomy support group was higher than in the other two groups. According to the multi-factor analysis, the value of HbA1c after intervention was positively related to the baseline HbA1c, and negatively related to self-management behavior. The value in autonomy support group was higher than in routine intervention group. Baseline self-management behavior, self-efficacy, knowledge, skill, family support, autonomy support, peer support and age were positively correlated with the change of behavior.@*CONCLUSION@#self-management behavior intervention based on self-determination theory can effectively promote self-management behavior and glycemic control of diabetic patients, and the effect is better than single peer support activities.


Subject(s)
Humans , Beijing , Blood Glucose , Diabetes Mellitus, Type 2/therapy , Peer Group , Self Care , Self-Management
3.
China Journal of Chinese Materia Medica ; (24): 580-586, 2017.
Article in Chinese | WPRIM | ID: wpr-275493

ABSTRACT

A sensitive and specific ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS) method was developed for analysis of tanshinone ⅡA(TSⅡA), salvianolic acid B(SAB) and ginsenoside Rg₁ (GRg₁) in rat plasma and brain tissues. Male healthy Sprague-Dawley(SD) rats were orally given single dose of Fufang Danshen preparation (TS ⅡA 60 mg•kg⁻¹, SAB 300 mg•kg⁻¹, GRg₁ 150 mg•kg⁻¹, borneol 300 mg•kg⁻¹), and their blood samples and brain tissues were collected at different time points. The drug plasma and brain tissue concentrations of the three analytes were determined by UPLC-MS/MS method. Subsequently, the main pharmacokinetics parameters of plasma and brain tissues were calculated by using Phoenix WinNolin 6.1 software. The methodological test showed that all of analytes in both plasma and brain homogenate exhibited a good linearity within the concentration range(r>0.992 2). Their mean recoveries were between 58.86% and 112.1%. Intra-day and inter-day precisions of the investigated components exhibited RSD≤9.7%, and the accuracy(RE) ranged from -9.68% to 8.20% at all quality control levels. The results of accuracy and stability meet the requirements for biopharmaceutical analysis. For TSⅡA, the pharmacokinetics parameters Tmax, Cmax, AUC0-t, MRTlast in the plasma were (1.58±0.081) h, (725.4±88.20) μg•L⁻¹, (2 101.3±124.85) μg•h•L⁻¹ and (3.66±0.05) h, respectively. For SAB, the pharmacokinetics parameters Tmax, Cmax, AUC0-t, MRTlast in the plasma were (1.29±0.21) h, (307.9±46.75) μg•L⁻¹, (537.4±88.24) μg•h•L⁻¹ and (2.08±0.11) h, respectively. For GRg₁, the pharmacokinetics parameters Tmax, Cmax, AUC0-t, MRTlast in the plasma were (1.42±0.20) h, (460.38±154.60) μg•L⁻¹, (383.4±88.16) μg•h•L⁻¹ and (1.87±0.046) h, respectively. For TSⅡA, the pharmacokinetics parameters Tmax, Cmax, AUC0-t, MRTlast in the brain tissue were (0.75±0.22) h, (1.41±0.42) ng•g⁻¹, (4.34±2.48) ng•h•g⁻¹ and (4.00±1.90) h, respectively. For SAB, the pharmacokinetics parameters Tmax, Cmax, AUC0-t, MRTlast in the plasma were (1.08±0.20) h, (21.09±4.850) ng•g⁻¹, (14.83±3.160) ng•h•g⁻¹ and (0.99±0.08) h, respectively. For GRg₁, the pharmacokinetics parameters Tmax, Cmax, AUC0-t, MRTlast in the plasma were (0.50±0.16) h, (130.96±54.220) ng•g⁻¹, (136.24±34.350) ng•h•g⁻¹ and (2.87±0.33) h, respectively. The developed method was successfully applied in pharmacokinetic studies on content of TS ⅡA, SAB and GRg₁ in rat plasma and brain tissues.

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