Association of Serum Lipocalin-2 (LCN2) with Thoracic Aortic Calcification in CKD Stage 5: A Cross-Sectional Study

Background: This study explores the association between serum neutrophil gelatinase-associated lipocalin (LCN2) and thoracic aortic calcification (TAC) in stage 5 chronic kidney disease (CKD) patients, while evaluating LCN2’s potential as a predictive biomarker for TAC in this population. Methods: This cross-sectional study included 160 patients with CKD5 from three hospitals between May 2023 and 2025. TAC volume was quantified via dual-source spiral CT, and serum LCN2 levels were measured by ELISA. Bivariate/multivariate regression identified vascular calcification predictors. ROC curves evaluated LCN2's predictive value alone or combined with biomarkers, with model comparisons via DeLong’s test. A predictive model was validated by DCA for clinical benefit. Results: Group Comparison Analysis Patients with TAC had significantly higher serum LCN2, total cholesterol, albumin, alkaline phosphatase (ALP) , and parathyroid hormone (PTH) levels, and were older than those without calcification. Correlation Analysis Spearman’s analysis revealed a positive correlation between serum LCN2 levels and TAC volume in CKD5 patients (r = 0.569, P < 0.001). Multivariate Logistic Regression and Model Performance Multivariate logistic regression identified serum LCN2, ferritin, ALP, and PTH as independent predictors of vascular calcification in CKD (CKD-VC). Serum LCN2 alone yielded an AUC of 0.802 (95% CI: 0.705–0.898) for vascular calcification prediction, with a cutoff of 1007.405 ng/L (sensitivity 60.4%, specificity 88.9%). Model 1 (ferritin, ALP, PTH) had an AUC of 0.820 (95% CI: 0.719–0.897). Model 2, incorporating LCN2, improved AUC to 0.899 (95% CI: 0.812–0.955). DeLong’s test confirmed significant AUC improvement of Model 2 over Model 1 (Z = 1.986, P = 0.047), validating LCN2’s independent contribution to CKD-VC. Clinical Utility of the Prediction Model DCA demonstrated that the prediction model incorporating serum LCN2 provided a higher net clinical benefit compared to models excluding this biomarker. Conclusion: Previous research shows that LCN2 promotes CKD-VC by aggravating vascular smooth muscle cell ferroptosis via NCOA4/FTH1-mediated ferritinophagy. Inhibiting LCN2 has therapeutic potential. This study suggests that LCN2 combined with clinical parameters improves calcification prediction accuracy, emphasizing its diagnostic and therapeutic potential.

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Journal
Journal of the American Society of Nephrology
Published
2025-10-01
DOI
https://doi.org/10.1681/asn.2025z8my8e6f
Primary Topic
Parathyroid Disorders and Treatments
Type
article
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article

Association of Serum Lipocalin-2 (LCN2) with Thoracic Aortic Calcification in CKD Stage 5: A Cross-Sectional Study

Yinan Zhao, Ri‐Ning Tang
Journal of the American Society of Nephrology
Parathyroid Disorders and Treatments
article

Association of Serum Lipocalin-2 (LCN2) with Thoracic Aortic Calcification in CKD Stage 5: A Cross-Sectional Study

Yinan Zhao, Ri‐Ning Tang
article en

Abstract

Background: This study explores the association between serum neutrophil gelatinase-associated lipocalin (LCN2) and thoracic aortic calcification (TAC) in stage 5 chronic kidney disease (CKD) patients, while evaluating LCN2’s potential as a predictive biomarker for TAC in this population. Methods: This cross-sectional study included 160 patients with CKD5 from three hospitals between May 2023 and 2025. TAC volume was quantified via dual-source spiral CT, and serum LCN2 levels were measured by ELISA. Bivariate/multivariate regression identified vascular calcification predictors. ROC curves evaluated LCN2's predictive value alone or combined with biomarkers, with model comparisons via DeLong’s test. A predictive model was validated by DCA for clinical benefit. Results: Group Comparison Analysis Patients with TAC had significantly higher serum LCN2, total cholesterol, albumin, alkaline phosphatase (ALP) , and parathyroid hormone (PTH) levels, and were older than those without calcification. Correlation Analysis Spearman’s analysis revealed a positive correlation between serum LCN2 levels and TAC volume in CKD5 patients (r = 0.569, P < 0.001). Multivariate Logistic Regression and Model Performance Multivariate logistic regression identified serum LCN2, ferritin, ALP, and PTH as independent predictors of vascular calcification in CKD (CKD-VC). Serum LCN2 alone yielded an AUC of 0.802 (95% CI: 0.705–0.898) for vascular calcification prediction, with a cutoff of 1007.405 ng/L (sensitivity 60.4%, specificity 88.9%). Model 1 (ferritin, ALP, PTH) had an AUC of 0.820 (95% CI: 0.719–0.897). Model 2, incorporating LCN2, improved AUC to 0.899 (95% CI: 0.812–0.955). DeLong’s test confirmed significant AUC improvement of Model 2 over Model 1 (Z = 1.986, P = 0.047), validating LCN2’s independent contribution to CKD-VC. Clinical Utility of the Prediction Model DCA demonstrated that the prediction model incorporating serum LCN2 provided a higher net clinical benefit compared to models excluding this biomarker. Conclusion: Previous research shows that LCN2 promotes CKD-VC by aggravating vascular smooth muscle cell ferroptosis via NCOA4/FTH1-mediated ferritinophagy. Inhibiting LCN2 has therapeutic potential. This study suggests that LCN2 combined with clinical parameters improves calcification prediction accuracy, emphasizing its diagnostic and therapeutic potential.

Journal of the American Society of NephrologyVol. 36(10S)
Zhongda Hospital Southeast University (CN)
Openalex Percentile: Top 65%
Parathyroid Disorders and Treatments
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