Urinary Biomarkers for Diagnosing IgA Nephropathy
Author Information
Author(s): Xie Boji, Pang Shuting, Xie Yuli, Tan Qiuyan, Li Shanshan, Jili Mujia, Huang Yian, Zhao Binran, Yuan Hao, Mi Junhao, Chen Xuesong, Ruan Liangping, Chen Hong, Li Xiaolai, Hu Boning, Huang Jing, Yang Rirong, Li Wei
Primary Institution: The Second Affiliated Hospital of Guangxi Medical University
Hypothesis
Cells present in second morning urine samples may more accurately reflect renal function.
Conclusion
TYROBP and HCK are promising non-invasive urinary biomarkers for IgA nephropathy.
Supporting Evidence
- TYROBP and HCK were identified as key biomarkers using machine learning.
- These biomarkers were validated in both a test cohort and an external validation cohort.
- scRNA-seq confirmed their cell-specific expression patterns.
- IHC further validated protein expression.
- Molecular docking suggested potential therapeutic interactions with IgAN treatments.
Takeaway
Doctors can use urine tests to find important markers that help diagnose a kidney disease called IgA nephropathy without needing a painful biopsy.
Methodology
Bulk RNA sequencing was performed on urine samples from IgAN patients and healthy controls, followed by machine learning analysis to identify biomarkers.
Limitations
The cross-sectional design limits the evaluation of the prognostic value of urinary TYROBP and HCK.
Participant Demographics
11 untreated IgAN patients and 11 healthy controls, matched by age and sex.
Statistical Information
P-Value
4e-04
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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