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Chang CC, Chiu PF, Wu CL, Kuo CL, Huang CS, Liu CS, Huang CH. Urinary cell-free mitochondrial and nuclear deoxyribonucleic acid correlates with the prognosis of chronic kidney diseases. BMC Nephrol 2019; 20:391. [PMID: 31660901 PMCID: PMC6816217 DOI: 10.1186/s12882-019-1549-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 09/04/2019] [Indexed: 01/16/2023] Open
Abstract
Introduction Cell-free deoxyribonucleic acid DNA (cf-DNA) in urine is promising due to the advantage of urine as an easily obtained and non-invasive sample source over tissue and blood. In clinical practice, it is important to identify non-invasive biomarkers of chronic kidney disease (CKD) in monitoring and surveillance of disease progression. Information is limited, however, regarding the relationship between urine and plasma cf-DNA and the renal outcome in CKD patients. Methods One hundred and thirty-one CKD patients were enrolled between January 2016 and September 2018. Baseline urine and plasma cell-free mitochondrial DNA (cf-mtDNA) and cell-free nuclear DNA (cf-nDNA) were isolated using quantitative real-time PCR. Estimated glomerular filtration rate (eGFR) measurement was performed at baseline and 6-month follow-up. Favorable renal outcome was defined as eGFR at 6 months minus baseline eGFR> = 0. Receiver operator characteristics (ROC) curve analysis was performed to assess different samples of cf-DNA to predict favorable renal outcomes at 6 months. A multivariate linear regression model was used to evaluate independent associations between possible predictors and different samples of cf-DNA. Results Patients with an advanced stage of CKD has significantly low plasma cf-nDNA and high plasma neutrophil gelatinase-associated lipocalin (NGAL) levels. Low urine cf-mtDNA, cf-nDNA levels and low plasma NGAL were significantly correlated with favorable renal outcomes at 6 months. The urine albumin-creatinine ratio (ACR) or urine protein-creatinine ratio (PCR) level is a robust predictor of cf-mtDNA and cf-nDNA in CKD patients. Baseline urine levels of cf-mtDNA and cf-nDNA could predict renal outcomes at 6 months. Conclusions Urinary cf-mtDNA and cf-nDNA may provide novel prognostic biomarkers for renal outcome in CKD patients. The levels of plasma cf-nDNA and plasma NGAL are significantly correlated with the severity of CKD. Electronic supplementary material The online version of this article (10.1186/s12882-019-1549-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Chia-Chu Chang
- Department of Internal Medicine, Kuang Tien General Hospital, Taichung, Taiwan.,Department of Nutrition, Hungkuang University, Taichung, Taiwan.,School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Ping-Fang Chiu
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Nephrology Division, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.,Vascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan.,Center of General Education Tunghai University, Taichung, Taiwan
| | - Chia-Lin Wu
- Nephrology Division, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.,Internal Medicine Research Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Cheng-Ling Kuo
- Vascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Ching-Shan Huang
- Vascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Chin-San Liu
- Vascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan.,Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Ching-Hui Huang
- Vascular & Genomic Research Center, Changhua Christian Hospital, Changhua, Taiwan. .,Department of Cardiology, Changhua Christian Hospital, Changhua, Taiwan. .,Institute of Statistics and Information Science, National Changhua University of Education, Changhua, Taiwan. .,School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. .,Department of Beauty Science and Graduate Institute of Beauty Science Technology, Chienkuo Technology University, Changhua, Taiwan.
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