Oxidants play a significant role in causing oxidative stress in the body, which contributes to the development of diseases. Rutin—a powerful antioxidant—may be useful in the prevention and treatment of various diseases by scavenging oxidants and reducing oxidative stress. However, low solubility and oral bioavailability have restricted its use. Due to the hydrophobic nature of rutin, it cannot be easily loaded inside hydrogels. Therefore, first rutin inclusion complexes (RIC) with hydroxypropyl-β-cyclodextrin (HP-βCD) were prepared to improve its solubility, followed by incorporation into xanthan gum-based (hydroxypropyl methylcellulose-grafted-2-acrylamido -2-methyl-1-propane sulfonic acid) hydrogels for controlled drug release in order to improve the bioavailability. Rutin inclusion complexes and hydrogels were validated by FTIR, XRD, SEM, TGA, and DSC. The highest swelling ratio and drug release occurred at pH 1.2 (28% swelling ratio and 70% drug release) versus pH 7.4 (22% swelling ratio, 65% drug release) after 48 h. Hydrogels showed high porosity (94%) and biodegradation (9% in 1 week in phosphate buffer saline). Moreover, in vitro antioxidative and antibacterial studies (Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli) confirmed the antioxidative and antibacterial potential of the developed hydrogels.
5-Fluorouracil is mainly used for the treatment of tumors and has relatively high toxicity. Trimethoprim is a common broad-spectrum antibiotic agent with extremely poor water solubility. We hoped to solve these problems by synthesizing cocrystals (compound 1) of 5-fluorouracil and trimethoprim. Solubility tests showed that the solubility of compound 1 was improved compared to that of trimethoprim. In vitro anticancer activity tests of compound 1 showed higher activity against human breast cancer cells than 5-fluorouracil. Acute toxicity showed that its toxicity was much lower than that of 5-fluorouracil. In the test of anti-Shigella dysenteriae activity, compound 1 showed much stronger antibacterial activity than trimethoprim.
Objectives: To establish an ADL prediction model for Parkinson's inpatients as an auxiliary evaluation scheme. Methods: The data of Parkinson's patients hospitalized in the Department of Neurology of Affiliated Brain Hospital of Guangzhou Medical University from 2019 to 2022, which suited the criteria were collected, and a multiple linear regression model was established with serum total protein, serum albumin, age, BMI and education level as independent variables and BI scores as dependent variables. Results: A total of 95 PD patients were included (mean 70.05 ± 10.87 years): 53 males and 42 females. The correlation analysis showed that the serum total protein (r = 0.398, P < 0.001), serum albumin (r = 0.217, P = 0.035), age (r = −0.434, P < 0.001), BMI (r = 0.269, P = 0.008) were respectively linearly correlated with BI total score, and education level is negatively correlated with BI scores (Kendall's tau-b = −0.2, P = 0.011). A multiple linear regression model which established with serum total protein, serum albumin, age, BMI and education level as independent variables and BI scores as dependent variables, is statistically significant (F = 9.041, P < 0.001, adjust R 2 = 0.3). Conclusion: The ADL multiple linear regression model can be used as an important means to evaluate the ADL ability of PD patients in hospital.
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