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Updated: May 6, 2026

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Identifying therapeutic targets for kidney stone disease through proteome-wide Mendelian randomization and
Zilong Liang1,2, Conglei Hu1, Haofeng Pang1,2
1Department of Urology, Xijing Hospital, Air Force Medical University, Xi'an, 710032, China.
This study used Mendelian randomization to identify protein targets for kidney stone disease (KSD). CACYBP was identified as a promising target for preventing KSD recurrence.
Area of Science:
- Genetics
- Pharmacology
- Nephrology
Background:
- Kidney stone disease (KSD) presents increasing global prevalence and recurrence.
- Mendelian randomization (MR) is a valuable tool for drug repurposing and identifying therapeutic targets.
Purpose of the Study:
- To identify protein targets for KSD treatment using a proteome-wide MR approach.
- To assess potential adverse drug reactions associated with these protein targets.
- To discover novel therapeutic strategies for KSD prevention and management.
Main Methods:
- A proteome-wide Mendelian randomization study was conducted using UK Biobank proteomics data (2940 proteins).
- Genome-wide association study data for KSD from FinnGen (10,556 cases, 400,681 controls) were analyzed.
- Colocalization analysis and Phenome-wide association studies (PheWAS) were employed to identify shared causal variants and explore adverse drug reactions.
Main Results:
- MR analysis revealed positive correlations between KSD risk and proteins ITIH4, F12, and FKBPL.
- Negative correlations with KSD risk were observed for DAG1, ITIH1, LTB, and CACYBP (Pfdr < 0.05).
- CACYBP emerged as the most promising druggable protein target for preventing KSD recurrence, supported by colocalization and PheWAS.
Conclusions:
- This study identified key genetic protein biomarkers associated with KSD risk.
- CACYBP is highlighted as a potential therapeutic target for KSD prevention and treatment.
- The findings offer novel insights into drug repurposing and side effect prediction for KSD management.
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