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Serum levels of S100A6 and S100A12 in patients with Parkinson's disease and osteoporosis and their clinical significance |
LIU Yang, WANG Ke, CHENG Gang, LIU Jia |
Department of Neurology, Shandong Provincial Corps Hospital of Chinese People's Armed Police Force, Jinan 250001, China |
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Abstract Objective To determine the levels of serum calcium-binding protein (S100) A6 and S100A12 in patients with Parkinson's disease (PD) and osteoporosis and analyze their clinical significance. Methods A total of 134 PD patients admitted to Shandong Provincial Corps Hospital of Chinese People's Armed Police Force from April 2021 to March 2024 were selected and divided into an osteoporosis group (n=53) and a non-osteoporosis group (n=81) according to the occurrence of osteoporosis. Pearson correlation analysis was used to analyze the relationship between serum S100A6, S100A12 and bone metabolism markers. Multivariate Logistic regression analysis was used to analyze the risk factors affecting osteoporosis in PD patients, and receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of the two indicators for osteoporosis in PD patients. Results Among 134 PD patients, 53 cases developed osteoporosis(39.55%). Compared with non-osteoporosis group, serum levels of S100A6 and S100A12 in osteoporosis group increased (P<0.05). The type I procollagen amino-terminal propeptide (PINP) and 25-hydroxyvitamin D [25(OH)D] levels in osteoporosis group were lower than those in non-osteoporosis group, while the type I collagen C-terminal peptide (S-CTX) and β-collagen specific sequence (β-CTX) levels were higher than those in non-osteoporosis group (P<0.05). Pearson correlation analysis showed that serum S100A6 and S100A12 were negatively correlated with PINP and 25 (OH) D (P<0.05), but positively correlated with S-CTX and β-CTX (P<0.05). Multivariate Logistic regression analysis showed that old age, female, advanced disease and elevated serum S100A6 and S100A12 were independent risk factors for osteoporosis in PD patients (P<0.05). ROC curve showed that serum S100A6 and S100A12 alone predicted the AUC of osteoporosis in PD patients were 0.665 and 0.746 respectively, the combined predicted AUC was 0.913 (0.872-0.945), and the combined prediction efficiency was higher than that of single index (P<0.05). Conclusions Serum S100A6 and S100A12 are abnormally elevated in PD patients with osteoporosis and they are correlated with bone metabolism, which is helpful for screening PD patients with osteoporosis.
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Received: 11 December 2024
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