Objective: To investigate the therapeutic significance of ethyl acetate extract of Salsola collina (EES) on diabetic gastroparesis (DGP) and its underlying mechanisms. Methods: The composition of EES was analyzed by HPLC and LC/MS. A DGP model was established by streptozotocin injection and irregularly feeding a high-sugar, high-fat (HSHF) diet. Serum nitric oxide (NO), total cholesterol (TC), and triglyceride (TG) and the gastric superoxide dismutase (SOD), malondialdehyde (MDA), catalase (CAT), and glutathione peroxidase (GSH-Px) concentrations were measured by colorimetry and ELISA. The expression of neuronal nitric oxide synthase (nNOS) and protein gene product 9.5 (PGP9.5) in the gastric tissue were examined by Western blot and immunohistochemistry. Results: EES promoted gastric emptying delayed by DGP, which was mainly composed of 10 organic acids. Furthermore, EES increased serum NO, decreased glucose, TC and TG, increased gastric SOD, CAT, and GSH-Px, while decreased MDA, increased nNOS and PGP9.5 expression in the gastric tissue, and showed a concentration dependence. Conclusion: EES promoted gastric emptying in the DGP rats, which might be related to its inhibition of oxidative stress and the associated increase in the gastric neuron population, as well as its hypoglycemic and lipid-lowering activities. These findings suggest that Salsola may have potential benefits in the treatment of DGP.
Abstract:In this paper, a discrete-frequency technique is developed for analyzing sufficiency and necessity of monotone convergence of a proportional higher-order-derivative iterative learning control scheme for a class of linear time-invariant systems with higher-order relative degree. The technique composes of two steps. The first step is to expand the iterative control signals, its driven outputs and the relevant signals as complex-form Fourier series and then to deduce the properties of the Fourier coefficients. The second step is to analyze the sufficiency and necessity of monotone convergence of the proposed proportional higher-order-derivative iterative learning control scheme by assessing the tracking errors in the forms of Paserval s energy modes. Numerical simulations are illustrated to exhibit the validity and the effectiveness.
The solid tumor microenvironment (TME) plays a crucial role in tumor biological behavior, development, and chemoresistance. Herein, a promising strategy is reported to remodel the TME and combat chemoresistance by employing the photoresponsive cyanobacteria (Synechococcus 7942, Syne). Syne exhibits inherent motility and enhanced permeability and retention effects to penetrate deep into the tumor. Under a 660 nm laser irradiation, Syne keeps a controllable, continuous, and robust O2 production ability through photosynthesis to alleviate tumor hypoxia and reduce monocarboxylate transporter 4 (MCT4) expression and exerts a gentle photodynamic effect by generating reactive oxidative species (ROS) in situ. In addition, adequate O2 supplement and ROS can not only facilitate intracellular doxorubicin (DOX) accumulation but also increase the drug sensitivity of tumor cells by downregulating the expression of chemoresistance‐related genes (e.g., heat shock factor‐1, mutant P53, and P‐glycoprotein). Compared with free DOX treatment, photoresponsive Syne with laser irradiation facilitates the deep penetration and accumulation of DOX in the tumor. Importantly, this Syne‐boosted chemotherapy achieves 100% survival in mice and complete tumor ablation with no evident systemic toxicity over a span of 90 days. Overall, this study presents a new insight and strategy to overcome chemotherapeutic resistance and eliminate tumors.
Objective: To investigate the oral health related quality of life in elderly diabetic patients and analyze its influencing factors. Methods: Convenience sampling was used to select 190 elderly patients with diabetes under the Department of Endocrinology and Department of Integrated Traditional Chinese and Western Medicine in the Affiliated Hospital of Hebei University as the research subjects. The Chinese version of the Oral Health Influence Scale (OHIP-14) was used to conduct a questionnaire survey, and univariate analysis and multiple stepwise regression analysis were used to analyze the influencing factors of oral health related quality of life in elderly diabetic patients. Results: The elderly diabetic patients’ oral health related quality of life score was 34.48 ± 3.23, which is in the middle-lower range. The findings of multivariate stepwise regression analysis revealed that the course of disease, regular visits to the dentist, sleep quality, oral health knowledge, and oral health attitude together explained 58.9% of the total variance in elderly diabetic patients in terms of their oral health related quality of life (p < 0.05). Conclusion: The oral health related quality of life of elderly diabetic patients is generally low, and is affected by the duration of diabetes, sleep quality, and oral health knowledge, attitude, and behavior (regular visits to the dentist). Improving patients’ attention to oral health problems by improving sleep as well as their own oral health knowledge, attitude, and behavior is an effective way to enhance oral health related quality of life.
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