PURPOSE: This study aims to investigate the protective effect of baicalin on sepsis-associated acute kidney injury (SA-AKI) and its molecular mechanism. MATERIALS AND METHODS: An SA-AKI mouse model was established via lipopolysaccharide (LPS) injection. Baicalin's effects on renal function, oxidative stress, and apoptosis were evaluated using histopathology, dihydroethidium, and terminal deoxynucleotidyl transferase dUTP nick end labeling staining. Bioinformatics, molecular docking, ribonucleic acid (RNA) sequencing, and Western blotting were employed to investigate the role of baicalin in regulating the peroxisome proliferatorâactivated receptorâγ (PPAR-γ)/uncoupling protein 1 (UCP1) pathway. Human kidney-2 cells were used for in vitro validation. RESULTS: In this study, baicalin significantly ameliorated LPS-induced acute kidney injury by modulating the PPAR-γ/UCP1 signaling pathway. Both in vivo and in vitro experiments revealed that baicalin attenuates inflammation, oxidative stress, and apoptosis while restoring mitochondrial function. RNA sequencing analysis revealed significant upregulation of PPAR-γ/UCP1 in the baicalin-treated group. Further molecular docking and molecular dynamics simulations confirmed a stable interaction between baicalin and UCP1. Validation via small interfering RNA-mediated knockdown of PPAR-γ and UCP1 revealed that inhibition of the PPAR-γ/UCP1 pathway abrogated baicalin's protective effects, highlighting the critical role of this pathway in mediating baicalin's renoprotection. CONCLUSION: Baicalin protects against SA-AKI by activating the PPAR-γ/UCP1 signaling pathway. This study provides new insights into the mechanisms through which baicalin mitigates kidney injury in sepsis, suggesting its potential as a therapeutic agent for SA-AKI.
Baicalin alleviates sepsis-associated acute kidney injury through activation of the PPAR-γ/UCP1 signaling pathway.
黄芩苷通过激活 PPAR-γ/UCP1 信号通路缓解脓毒症相关的急性肾损伤
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作者:Bao Neng, Gu Ming-Jia, Huang Qiu-Ya, Sun Hai-Jian, Zhu Xue-Xue, Gu Xin, Wang Jin, Yu Xiang, Lu Qing-Bo, Yu Ya-Fen
| 期刊: | Renal Failure | 影响因子: | 3.000 |
| 时间: | 2025 | 起止号: | 2025 Dec;47(1):2508908 |
| doi: | 10.1080/0886022X.2025.2508908 | 研究方向: | 信号转导 |
| 疾病类型: | 肾损伤 | ||
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