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"Mendelian randomization analysis"

Research Letter

Mendelian randomization does not support the effects of G CSF on decompensated liver disease
Liling Li, Hui Wang, Hong Wang, Jinchang Huang
Clin Mol Hepatol 2025;31(3):e254-e258.
Published online March 4, 2025
DOI: https://doi.org/10.3350/cmh.2025.0172
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Artificial intelligence, epidemiology, methodology, or others

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Original Article

Artificial intelligence, epidemiology, methodology, or others

Protein-centric omics analysis reveals circulating complements linked to non-viral liver diseases as potential therapeutic targets
Yingzhou Shi, Hang Dong, Shiwei Sun, Xiaoqin Wu, Jiansong Fang, Jianbo Zhao, Junming Han, Zongyue Li, Huixiao Wu, Luna Liu, Wanhong Wu, Yang Tian, Guandou Yuan, Xiude Fan, Chao Xu
Clin Mol Hepatol 2024;30(1):80-97.
Published online December 7, 2023
DOI: https://doi.org/10.3350/cmh.2023.0343
Background/Aims
To evaluate the causal correlation between complement components and non-viral liver diseases and their potential use as druggable targets.
Methods
We conducted Mendelian randomization (MR) to assess the causal role of circulating complements in the risk of non-viral liver diseases. A complement-centric protein interaction network was constructed to explore biological functions and identify potential therapeutic options.
Results
In the MR analysis, genetically predicted levels of complement C1q C chain (C1QC) were positively associated with the risk of autoimmune hepatitis (odds ratio 1.125, 95% confidence interval 1.018–1.244), while complement factor H-related protein 5 (CFHR5) was positively associated with the risk of primary sclerosing cholangitis (PSC;1.193, 1.048– 1.357). On the other hand, CFHR1 (0.621, 0.497–0.776) and CFHR2 (0.824, 0.703–0.965) were inversely associated with the risk of alcohol-related cirrhosis. There were also significant inverse associations between C8 gamma chain (C8G) and PSC (0.832, 0.707–0.979), as well as the risk of metabolic dysfunction-associated steatotic liver disease (1.167, 1.036–1.314). Additionally, C1S (0.111, 0.018–0.672), C7 (1.631, 1.190–2.236), and CFHR2 (1.279, 1.059–1.546) were significantly associated with the risk of hepatocellular carcinoma. Proteins from the complement regulatory networks and various liver diseaserelated proteins share common biological processes. Furthermore, potential therapeutic drugs for various liver diseases were identified through drug repurposing based on the complement regulatory network.
Conclusions
Our study suggests that certain complement components, including C1S, C1QC, CFHR1, CFHR2, CFHR5, C7, and C8G, might play a role in non-viral liver diseases and could be potential targets for drug development.

Citations

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  • Starting the journey: Understanding the roles of complement proteins in liver diseases through mendelian randomization
    Mohammad Saeid Rezaee-Zavareh, Naomy Kim, Ju Dong Yang
    Clinical and Molecular Hepatology.2024; 30(2): 150.     CrossRef
  • Constructing a disulfidptosis-related prognostic signature of hepatocellular carcinoma based on single-cell sequencing and weighted co-expression network analysis
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