ANTIOXIDANT AND ANTI-INFLAMMATORY ACTIVITIES OF STEVIA REBAUDIANA LEAF EXTRACT IN DIABETIC RATS

FUDMA Journal of Sciences, Год журнала: 2025, Номер 9(1), С. 301 - 306

Опубликована: Янв. 31, 2025

This study explores the antioxidant and anti-inflammatory effects of Stevia rebaudiana aqueous leaf extract in alloxan-induced diabetic male Wistar rats. Thirty rats, comprising six normoglycemic controls (NC) twenty-four rats were used. The divided into four groups (n = 6 each): DC, administered distilled water; DGL, treated with glibenclamide; DSR100 DSR200, 100 200 mg/kg S. extract, respectively. Treatments daily via gavage for 15 days. After days, animals fasted overnight, euthanized by cervical dislocation, blood samples collected serum analyses. Body weight, liver fasting glucose (FBG), malondialdehyde (MDA) level monitored. Antioxidant enzyme activitiessuperoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx)were also measured, alongside levels pro-inflammatory cytokines interleukin-1 (IL-1), tumor necrosis factor- (TNF-), cytokine interleukin-10 (IL-10). findings revealed that significantly reduced MDA enhanced activities enzymes (SOD, CAT, GPx) Significant (p<0.05) improvements FBG, liver-to-body weight ratio, profiles observed DSR200 compared DC. Specifically, decreased IL-1 TNF- while elevating IL-10 level. These dose-dependent, dose showing most pronounced benefits. In conclusion, demonstrates robust activities, effectively attenuating oxidative stress-induced inflammatory responses

Язык: Английский

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Role of Oxidative Balance Score in Staging and Mortality Risk of Cardiovascular-Kidney-Metabolic Syndrome: Insights from Traditional and Machine Learning Approaches

Redox Biology, Год журнала: 2025, Номер 81, С. 103588 - 103588

Опубликована: Март 7, 2025

To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk cardiovascular-kidney-metabolic syndrome (CKM). Data this study were from National Health Nutrition Examination Survey 1999-2018. We performed cross-sectional analyses using multinomial logistic regression to investigate relationship between OBS CKM staging. Cox proportional hazards models used assess impact on outcomes patients. Additionally, mediation explore whether mediated relationships specific predictors (Life's Simple 7 [LS7], systemic immune-inflammation index [SII], frailty score) outcomes. Then, machine learning developed classify stages 3/4 predict all-cause mortality, with SHapley Additive exPlanations values interpret contribution components. 21,609 participants included (20,319 CKM, median [IQR] age: 52.0 [38.0-65.0] years, 54.3% male, follow-up: 9.4 [5.3-14.1] years). Lower quartiles associated advanced Moreover, lower related increased risk, compared Q4 (all-cause mortality: Q1: HR 1.31, 95% CI 1.18-1.46, Q2: 1.27, 1.14-1.42, Q3: 1.18, 1.06-1.32; cardiovascular 1.44, 1.16-1.79, 1.39, 1.11-1.74, 1.26, 1.01-1.57; non-cardiovascular 1.12-1.44, 1.23, 1.08-1.40, 1.16, 1.02-1.31), optimal stratification threshold for was 22. (ranging 4.25%-32.85 %) effects SII, LS7, scores light gradient boosting achieved highest performance predicting (area under curve: 0.905) 0.875). Cotinine while magnesium, vitamin B6, physical activity protective. This highlights as a tool emphasizing stress's role management.

Язык: Английский

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A comprehensive analysis of gene expression and the immune landscape in gastric cancer through single-cell and multi-omics approaches

Discover Oncology, Год журнала: 2024, Номер 15(1)

Опубликована: Ноя. 25, 2024

Gastric cancer (GC) is a common malignant tumor worldwide, characterized by complex biological processes. The distribution of various cell types and gene expression profiles in the GC microenvironment remains unclear. This study uses single-cell RNA sequencing to explore patterns identify differentially expressed genes samples, offering new insights into cellular diversity potential molecular mechanisms. We conducted temporal clustering analyses with sequencing, followed Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) clarify their functions. Using machine learning, we identified relevant create highly accurate prediction models. Additionally, ssGSEA analysis provided detailed immunosuppressive microenvironment, revealing interactions diverse immune infiltrates cancer. Correlation highlighted TIMP1 as having significant prognostic value across different subtypes. Single-cell revealed landscape crucial data on how heterogeneity regulated relation microenvironment. Moreover, levels AGT, INHBA, showed distinct sex-biased functions within These findings enhance our understanding mechanisms associated gastric development may lay groundwork for identifying novel therapeutic targets diagnostic strategies.

Язык: Английский

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Antidiabetic Potential of Black Elderberry Cultivars Flower Extracts: Phytochemical Profile and Enzyme Inhibition

Molecules, Год журнала: 2024, Номер 29(23), С. 5775 - 5775

Опубликована: Дек. 6, 2024

Black elderberry (

Язык: Английский

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