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  • Title: Serum metabolomics identifies uric acid as a possible novel biomarker for predicting recurrence of chronic rhinosinusitis with nasal polyps.
    Author: Xie S, Zhang C, Xie Z, Zhang J, Zhang H, Jiang W.
    Journal: Rhinology; 2023 Dec 01; 61(6):541-551. PubMed ID: 37602858.
    Abstract:
    BACKGROUND: Metabolomics has proven to be a valuable tool in gaining new insights into disease progression and prognosis, the specific metabolic alterations in the serum of recurrent chronic rhinosinusitis with nasal polyps (CRSwNP) patients remain unknown. This study aims to explore the serum metabolomic profiles of recurrent CRSwNP and identify potential predictive biomarkers. METHODS: A prospective, single-center study was conducted on CRSwNP patients prior to endoscopic sinus surgery. Serum samples were subjected to untargeted metabolomic profiling. Patients were followed up for over 2 years and categorized into recurrence and non-recurrence groups. Metabolite differences between the two groups were compared, and the identified differentially regulated metabolites were subsequently validated in a large clinical cohort. RESULTS: 67 CRSwNP patients completed the follow-up schedule, with 47 classified into the non-recurrent group and 20 into the recurrent group. Significant differences were found in the metabolomic profiles between both groups, and serum uric acid (SUA) showed promising predictive potential for postoperative recurrence in both positive and negative ion models. A validation cohort comprising 398 non-recurrent and 142 recurrent CRSwNP patients was recruited, and a significant elevation in SUA levels was observed in recurrent cases. Patients were stratified into tertiles based on the distribution of baseline SUA levels. Multivariate Cox regression analysis showed that higher tertiles of SUA were associated with an increased risk of CRSwNP recurrence compared to lower tertiles, even after adjusting for potential confounding factors. The receiver operating characteristic curve and Kaplan-Meier survival analysis highlighted that elevated SUA levels exhibited potential predictive values for postoperative recurrence. CONCLUSION: Serum metabolic signatures might predict postoperative recurrence in CRSwNP patients. Increased SUA concentrations were found to be associated with a higher risk of future postoperative recurrence in CRSwNP, independent of traditional risk factors.
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