Skip to main content
Fig. 10 | Journal of Translational Medicine

Fig. 10

From: Screening of immune-related secretory proteins linking chronic kidney disease with calcific aortic valve disease based on comprehensive bioinformatics analysis and machine learning

Fig. 10

Validation of the expression patterns of two hub genes in calcified aortic valve samples and evaluation of the diagnostic performance of nomogram models in distinguishing CAVD. A RT-qPCR showing increased mRNA levels of SLPI and MMP9 in calcified aortic valve samples. B ELISA analysis displaying elevated serum SLPI and MMP9 levels in CKD and CAVD patients as well as CKD patients with CAVD. C The nomogram A was developed based on the diagnostic biomarkers to predict the risk of CAVD. D The ROC curves for the predictive performance of each candidate biomarker (SLPI and MMP9) and nomogram A. E The calibration curve of nomogram A prediction in CAVD patients. F DCA for the nomogram A. G The nomogram B was developed based on the diagnostic biomarkers to predict the risk of CKD patients with CAVD. H The ROC curves for the predictive performance of each candidate biomarker (SLPI and MMP9) and nomogram B. I The calibration curve of nomogram B prediction in CKD patients with CAVD. J DCA for the nomogram B

Back to article page

Journal of Translational Medicine

ISSN: 1479-5876

Contact us