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Fu C, Liu Y, Yang H, Liang Q, Liu W, Guo W. Construction of a miR-15a-based risk prediction model for vascular calcification detection in patients undergoing hemodialysis. Ren Fail 2024; 46:2313175. [PMID: 38419564 PMCID: PMC10906117 DOI: 10.1080/0886022x.2024.2313175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 01/27/2024] [Indexed: 03/02/2024] Open
Abstract
Vascular calcification (VC) is highly prevalent in patients undergoing hemodialysis, and is a significant contributor to the mortality rate. Therefore, biomarkers that can accurately predict the onset of VC are urgently required. Our study aimed to investigate serum miR-15a levels in relation to VC and to develop a predictive model for VC in patients undergoing hemodialysis at the Beijing Friendship Hospital hemodialysis center between 1 January 2019 and 31 December 2020. The patients were categorized into two groups: VC and non-VC. Logistic regression (LR) models were used to examine the risk factors associated with VC. Additionally, we developed an miR-15a-based nomogram based on the results of the multivariate LR analysis. A total of 138 patients under hemodialysis were investigated (age: 58.41 ± 13.22 years; 54 males). VC occurred in 79 (57.2%) patients. Multivariate LR analysis indicated that serum miR-15a, age, and WBC count were independent risk factors for VC. A miR-15a-based nomogram was developed by incorporating the following five predictors: age, dialysis vintage, predialysis nitrogen, WBC count, and miR-15a. The receiver operating characteristic (ROC) curve had an area under the curve of 0.921, diagnostic threshold of 0.396, sensitivity of 0.722, and specificity of 0.932, indicating that this model had good discrimination. This study concluded that serum miR-15a levels, age, and white blood cell (WBC) count are independent risk factors for VC. A nomogram constructed by integrating these risk factors can be used to predict the risk of VC in patients undergoing hemodialysis.
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Affiliation(s)
- Chen Fu
- Department of Nephrology, Faculty of Kidney Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
| | - Yingjie Liu
- Department of Nephrology, Faculty of Kidney Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
| | - Huayu Yang
- Division of Geriatrics, Medical and Health Care Center, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
| | - Qiaojing Liang
- Division of Geriatrics, Medical and Health Care Center, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
| | - Wenhu Liu
- Department of Nephrology, Faculty of Kidney Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
| | - Weikang Guo
- Department of Nephrology, Faculty of Kidney Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
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Jiang L, Yin Q, Yang M, Li M, Pan M, Han Y, Zhao Z, Wang Z, Zhu L, Wei Q, Tu Y, Gao M, Liu H, Zhang X, Liu BC, Wang B. Fibroblast Growth Factor 21 Predicts and Promotes Vascular Calcification in Haemodialysis Patients. KIDNEY DISEASES 2021; 7:227-240. [PMID: 34179118 DOI: 10.1159/000512750] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 10/31/2020] [Indexed: 01/02/2023]
Abstract
Background Cardiovascular disease (CVD) is the leading cause of death in haemodialysis (HD) patients. Vascular calcification (VC) is dramatically accelerated and is strongly associated with CVD events and mortality in HD patients. VC coexists with osteoporosis in many studies. Fibroblast growth factor 21 (FGF21) which is known as an adipocytokine is a new hypoglycemic strategy and is inversely related to bone mineral density. Methods To evaluate the contribution of FGF21 to VC in HD patients, we detected circulating FGF21 levels and measured the whole thoracic aorta calcification scores (TACS) and calcification scores of the 3 segments of thoracic aorta, including ascending thoracic aorta (ATACS), aortic arch (AoACS), and descending thoracic aorta (DTACS) of our HD patients in this cross-sectional study. In addition, we pre-incubated human aortic endothelial cells (HAECs) with FGF21 in the presence or absence of parathyroid hormone (PTH) in vitro. Results The median serum FGF21 level in HD patients was 11-fold higher than that in healthy controls. Ln(FGF21) was positively correlated with Ln(TACS+1), Ln(ATACS+1), Ln(AoACS+1), and Ln(DTACS+1), respectively, in HD patients. Serum FGF21 was independently associated with TACS and ATACS, AoACS, and DTACS. FGF21 which was combined with age, calcium, and intact PTH demonstrated a high area under the curve of 0.84 with optimal sensitivity (84%) and specificity (71%) for the prediction of VC in HD patients. Our vitro results showed that FGF21 enhanced the calcification effect of PTH on HAECs by increasing calcium deposition and endothelial-to-mesenchymal transition. Conclusions Circulating FGF21 was notably higher and was a potential predictor and promoter of VC in HD patients.
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Affiliation(s)
- Liqiong Jiang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.,Department of Nephrology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Qing Yin
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Min Yang
- Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Min Li
- Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Mingming Pan
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Yuchen Han
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Zhen Zhao
- Department of Radiology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Zhi Wang
- Department of Radiology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Lili Zhu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Qing Wei
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Yan Tu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Min Gao
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Hong Liu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Xiaoliang Zhang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Bi-Cheng Liu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
| | - Bin Wang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China
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