Network pharmacology and laboratory research data on the mechanism of hydroxysafflor yellow A regulating autophagy to improve renal injury in diabetic mice

This dataset originates from a comprehensive study investigating the mechanisms and targets of hydroxysafflor yellow A (HSYA) in the treatment of diabetic kidney disease (DKD) based on network pharmacology and animal experiments. It consists of two parts: network pharmacology prediction and animal experiment validation.For the network pharmacology part, potential targets of HSYA (851 targets) and DKD-related disease targets (4,905 targets) were obtained from public databases. An intersection analysis yielded 402 key targets. A protein-protein interaction (PPI) network was constructed using the STRING database and Cytoscape 3.9.0, identifying core targets such as TP53, AKT1, and EP300. GO functional enrichment analysis and KEGG pathway enrichment analysis were performed using the DAVID platform, resulting in 764 biological process (BP) terms, 104 cellular component (CC) terms, 195 molecular function (MF) terms, and 177 signaling pathways (P < 0.05).For the animal experiment part, the protective effect of HSYA against renal injury in DKD was evaluated using a db/db mouse model. The experiments were conducted in an SPF-grade animal experiment center from 2023 to 2025.The experimental subjects were 8-week-old male db/db mice and db/m mice, divided into six groups: db/m normal control group, db/db model group, valsartan group (10.4 mg/kg), HSYA high-dose group (10 mg/kg), HSYA medium-dose group (5 mg/kg), and HSYA low-dose group (2.5 mg/kg), with 5 mice per group. All groups received continuous intragastric administration for 8 weeks. This dataset contains individual observation records for a total of 30 mice, with each record corresponding to the complete experimental data of one mouse. In the data table, row labels represent individual animal IDs, and column labels include: group, body weight (g), blood glucose (mmol/L), urine albumin (mg/L), urine protein-to-creatinine ratio (mg/mmol), p-PI3K/PI3K protein expression ratio in kidney tissue, p-AKT/AKT protein expression ratio, and p-mTOR/mTOR protein expression ratio. For Western blot data, grey value analysis was performed using ImageJ software. Each protein sample was tested in triplicate, and the results are presented as mean ± standard deviation (SD). All protein ratio indicators are dimensionless relative expression levels. Urine albumin and blood glucose were measured using commercial kits following the manufacturers' instructions, and the measurement units are clearly indicated in the table.This dataset is submitted as a single Microsoft Excel file (.xlsx) containing multiple worksheets. The first worksheet contains the compiled experimental data summary table. The subsequent worksheets contain the original Western blot gel images (each image corresponds to the development result of one protein target). The Excel file can be opened normally in Microsoft Office 2019 or later versions, as well as in the open-source software WPS Office and LibreOffice, and the embedded images can be viewed directly within the worksheets. There are no systematic missing data in this dataset. Data variability primarily arises from biological individual differences and experimental factors such as antibody batch variations during Western blot procedures. The standard deviation of Western blot data generally ranges from 5% to 15% of the mean, and the coefficient of variation for urine albumin measurements is controlled within 10%.