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Quantitative proteomics combined with network pharmacology analysis unveils the biological basis of Schisandrin B in treating diabetic nephropathy

View ORCID ProfileJianying Song, Bo Zhang, Huiping Zhang, Wenbo Cheng, Peiyuan Liu, Jun Kang
doi: https://doi.org/10.1101/2023.01.19.524316
Jianying Song
aSchool of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, People’s Republic of China
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Bo Zhang
bInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRist, Department of Automation, Tsinghua University, Beijing 100084, China
cBeijing Intelligent Medicine and Network Pharmacology Co., Ltd, Beijng 100020, China
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Huiping Zhang
dShanghai Applied Protein Technology Co., Ltd., 58 Yuanmei Road, Shanghai 200233, People’s Republic of China
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Wenbo Cheng
eTianjin Key Laboratory of Medical Mass Spectrometry for Accurate Diagnosis, Tianjin 300399, People’s Republic of China
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  • For correspondence: jun.kang@tju.edu.cn peiyuan.liu@tju.edu.cn chengwb@sibet.ac.cn
Peiyuan Liu
aSchool of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, People’s Republic of China
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  • For correspondence: jun.kang@tju.edu.cn peiyuan.liu@tju.edu.cn chengwb@sibet.ac.cn
Jun Kang
aSchool of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, People’s Republic of China
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  • For correspondence: jun.kang@tju.edu.cn peiyuan.liu@tju.edu.cn chengwb@sibet.ac.cn
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Abstract

Background Diabetic nephropathy (DN) is a major complication of diabetes. Schisandrin B (Sch) is a natural pharmaceutical monomer that was shown to prevent kidney damage caused by diabetes and restore its function. However, there is still a lack of comprehensive and systematic understanding of the mechanism of Sch treatment in DN.

Objective We aim to provide a systematic overview of the mechanisms of Sch in multiple pathways to treat DN in rats.

Methods Streptozocin was used to build a DN rat model, which was further treated with Sch. The possible mechanism of Sch protective effects against DN was predicted using network pharmacology and was verified by quantitative proteomics analysis.

Results High dose Sch treatment significantly downregulated fasting blood glucose, creatinine, blood urea nitrogen, and urinary protein levels and reduced collagen deposition in the glomeruli and tubule-interstitium of DN rats. The activities of superoxide dismutase (SOD) and plasma glutathione peroxidase (GSH-Px) in the kidney of DN rats significantly increased with Sch treatment. In addition, the levels of IL-6, IL-1β, and TNF-α were significantly reduced in DN rats treated with Sch. 11 proteins that target both Sch and DN were enriched in pathways such as MAPK signaling, PI3K-Akt signaling, renal cell carcinoma, gap junction, endocrine resistance, and TNF signaling. Furthermore, quantitative proteomics showed that Xaf1 was downregulated in the model vs. control group and upregulated in the Sch-treated vs. model group. Five proteins, Crb3, Tspan4, Wdr45, Zfp512, and Tmigd1, were found to be upregulated in the model vs. control group and downregulated in the Sch vs. model group. Three intersected proteins between the network pharmacology prediction and proteomics results, Crb3, Xaf1, and Tspan4, were identified.

Conclusion Sch functions by relieving oxidative stress and the inflammatory response by regulating Crb3, Xaf1, and Tspan4 protein expression levels to treat DN disease.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 21, 2023.
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Quantitative proteomics combined with network pharmacology analysis unveils the biological basis of Schisandrin B in treating diabetic nephropathy
Jianying Song, Bo Zhang, Huiping Zhang, Wenbo Cheng, Peiyuan Liu, Jun Kang
bioRxiv 2023.01.19.524316; doi: https://doi.org/10.1101/2023.01.19.524316
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Quantitative proteomics combined with network pharmacology analysis unveils the biological basis of Schisandrin B in treating diabetic nephropathy
Jianying Song, Bo Zhang, Huiping Zhang, Wenbo Cheng, Peiyuan Liu, Jun Kang
bioRxiv 2023.01.19.524316; doi: https://doi.org/10.1101/2023.01.19.524316

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