This study investigates the potential synergistic effects of extracts from (turmeric), (Arabica coffee beans), and (chili peppers) in reducing oxidative stress and inflammation, which are associated with metabolic disorders such as obesity, diabetes, and cardiovascular diseases. Using a systematic design of experiment (DoE) optimization approach, an optimal extract ratio of 1:3:4 (turmeric: coffee: chili) was identified. The efficacy of the extract combination was assessed through various antioxidant assays, inhibition of inflammation-related gene expression, and safety testing via the 3-(4,5-dimethylthazolk-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay. The extract combination showed higher antioxidant activity and comparable anti-inflammatory effects relative to each single extract. Additionally, the extract combination demonstrated effective activity compared with turmeric extract while using a lower concentration, resulting in reduced cytotoxicity. The optimized extract combination was successfully incorporated into nanostructured lipid carriers (NLCs) with a hydrodynamic diameter of 258.0 ± 10.2 nm, which effectively redisperses after the spray-drying process with increased diameter to 349.8 ± 49.6 nm. Under stress conditions, the stability of curcumin and capsaicin in dried-NLCs was maintained. In summary, the optimized extract-loaded NLCs formulation, achieved through a multistage approach, shows promise in mitigating oxidative stress and inflammation, suggesting its potential as a valuable daily dietary supplement.
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http://dx.doi.org/10.3390/plants14020236 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Health Policy and Management, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Family physician program is one of the effective reforms of the health system in Iran, but despite the implementation of this program in rural areas and the passage of ten years since its implementation in two provinces of Fars and Mazandaran, its implementation has faced problems. The aim of this study is to identify and prioritize implementation solutions related to the challenges of the family physician program in Iran.
Methods: This is a qualitative study using semi-structured interviews with 22 snowball-sampled experts and managers of basic health insurers to extract problems and executive solutions through coding and data analysis using Atlas Ti software and content analysis in the first stage.
BMC Complement Med Ther
January 2025
Department of Biochemistry, Faculty of Pharmacy, Tanta University, Tanta, 31527, Egypt.
Background: Oral squamous cell carcinoma (OSCC) ranks as the sixth most common malignancy globally. Cisplatin is the standard chemotherapy for OSCC, but resistance often reduces its efficacy, necessitating new treatments with fewer side effects. Rumex dentatus L.
View Article and Find Full Text PDFSci Rep
January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
View Article and Find Full Text PDFTo establish a multivariate linear regression model for predicting the difficulty of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids based on multi-sequence magnetic resonance imaging radiomics features. A retrospective analysis was conducted on 218 patients with uterine fibroids who underwent HIFU treatment, including 178 cases from Yongchuan Hospital of Chongqing Medical University and 40 cases from the Second Affiliated Hospital of Chongqing Medical University (external validation set). Radiomics features were extracted and selected from magnetic resonance images, and potentially related imaging features were collected.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Electronics, Faculty of Engineering, Alberoni University, Kapisa, Afghanistan.
This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA's reference voltage output.
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