Identification of Diagnostic Biomarkers for Colorectal Polyps Based on Noninvasive Urinary Metabolite Screening and Construction of a Nomogram
- Yang Xie 1,2, Yiyi Jin 2, Zide Liu 2, Jun Li 2, Qing Tao 2, Yonghui Wu 2, Youxiang Chen 2, Chunyan Zeng 1
- 1Department of Gastroenterology, Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, Jiangxi, China.
- 2Department of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
- 0Department of Gastroenterology, Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, Jiangxi, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified seven urinary metabolites as noninvasive biomarkers for colorectal polyps (CRPs). A diagnostic nomogram using these metabolites showed high accuracy for early CRP detection.
Area Of Science
- Metabolomics
- Biomarker Discovery
- Colorectal Cancer Prevention
Background
- Colorectal polyps (CRPs) are precursors to colorectal cancer (CRC).
- Early detection of CRPs is crucial for CRC prevention.
- Current diagnostic methods are invasive, necessitating noninvasive biomarkers.
Purpose Of The Study
- To identify urinary metabolite biomarkers for diagnosing CRPs.
- To develop a diagnostic nomogram based on noninvasive urinary metabolite screening.
Main Methods
- Urine samples from 192 participants (64 CRP patients, 128 controls) were analyzed using GC-MS and UPLC-MS.
- Metabolite screening involved WGCNA, LASSO, and SVM-RFE.
- A diagnostic nomogram was constructed and validated using ROC curves, calibration plots, and DCA.
Main Results
- Seven key urinary metabolites were significantly associated with CRP.
- Saccharin and N-omega-acetylhistamine were identified as risk factors; N-methyl-L-proline, trimethylsilyl ester as a protective factor.
- The nomogram achieved high discriminatory power (AUC 0.974 training, 0.960 validation) and demonstrated clinical utility.
Conclusions
- Seven urinary metabolites serve as potential noninvasive biomarkers for CRP.
- The developed diagnostic nomogram exhibits high predictive accuracy and clinical applicability.
- This approach offers a promising tool for the early detection of colorectal polyps.
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