1
|
Garmaa G, Nagy R, Kói T, To UND, Gergő D, Kleiner D, Csupor D, Hegyi P, Kökény G. Panel miRNAs are potential diagnostic markers for chronic kidney diseases: a systematic review and meta-analysis. BMC Nephrol 2024; 25:261. [PMID: 39138396 PMCID: PMC11323638 DOI: 10.1186/s12882-024-03702-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 08/07/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Accurate detection of kidney damage is key to preventing renal failure, and identifying biomarkers is essential for this purpose. We aimed to assess the accuracy of miRNAs as diagnostic tools for chronic kidney disease (CKD). METHODS We thoroughly searched five databases (MEDLINE, Web of Science, Embase, Scopus, and CENTRAL) and performed a meta-analysis using R software. We assessed the overall diagnostic potential using the pooled area under the curve (pAUC), sensitivity (SEN), and specificity (SPE) values and the risk of bias by using the QUADAS-2 tool. The study protocol was registered on PROSPERO (CRD42021282785). RESULTS We analyzed data from 8351 CKD patients, 2989 healthy individuals, and 4331 people with chronic diseases. Among the single miRNAs, the pooled SEN was 0.82, and the SPE was 0.81 for diabetic nephropathy (DN) vs. diabetes mellitus (DM). The SEN and SPE were 0.91 and 0.89 for DN and healthy controls, respectively. miR-192 was the most frequently reported miRNA in DN patients, with a pAUC of 0.91 and SEN and SPE of 0.89 and 0.89, respectively, compared to those in healthy controls. The panel of miRNAs outperformed the single miRNAs (pAUC of 0.86 vs. 0.79, p < 0.05). The SEN and SPE of the panel miRNAs were 0.89 and 0.73, respectively, for DN vs. DM. In the lupus nephritis (LN) vs. systemic lupus erythematosus (SLE) cohorts, the SEN and SPE were 0.84 and 0.81, respectively. Urinary miRNAs tended to be more effective than blood miRNAs (p = 0.06). CONCLUSION MiRNAs show promise as effective diagnostic markers for CKD. The detection of miRNAs in urine and the use of a panel of miRNAs allows more accurate diagnosis.
Collapse
Affiliation(s)
- Gantsetseg Garmaa
- Institute of Translational Medicine, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Department of Pathology, School of Medicine, Mongolian National University of Medical Sciences, Ulan-Bator, 14210, Mongolia
| | - Rita Nagy
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Heim Pál National Pediatric Institute, Üllői út 86, Budapest, 1089, Hungary
| | - Tamás Kói
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Department of Stochastics, Institute of Mathematics, Budapest University of Technology and Economics, Budapest, Hungary
| | - Uyen Nguyen Do To
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- András Pető Faculty, Semmelweis University, 1Üllői út 26, Budapest, 1089, Hungary
| | - Dorottya Gergő
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Department of Pharmacognosy, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Dénes Kleiner
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Department of Pharmacy Administration, University Pharmacy, Semmelweis University, Budapest, Hungary
| | - Dezső Csupor
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Szigeti út 12, Pécs, 7624, Hungary
- Institute of Clinical Pharmacy, University of Szeged, Szikra út 8, Szeged, 6725, Hungary
| | - Péter Hegyi
- Center for Translational Medicine, Semmelweis University, 1085 Budapest, Üllői út 26, Budapest, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Szigeti út 12, Pécs, 7624, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, Tömő út 25-29, Budapest, Hungary
| | - Gábor Kökény
- Institute of Translational Medicine, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
- International Nephrology Research and Training Center, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
| |
Collapse
|
2
|
Chen YJ, Hsu CT, Tsai SF, Chen CH. Association between Circulating MicroRNAs (miR-21-5p, miR-20a-5p, miR-29b-3p, miR-126-3p and miR-101-3p) and Chronic Allograft Dysfunction in Renal Transplant Recipients. Int J Mol Sci 2022; 23:ijms232012253. [PMID: 36293110 PMCID: PMC9603156 DOI: 10.3390/ijms232012253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 09/30/2022] [Accepted: 10/12/2022] [Indexed: 01/24/2023] Open
Abstract
Chronic allograft dysfunction (CAD) is a major condition affecting long-term kidney graft survival. Serum microRNA (miRNA) has been reported as a biomarker for various conditions of allograft injuries. The upregulation of miR-21 is the best-known miRNA change in graft tissue, urine and plasma. However, the correlation of plasma miR-21 with the severity of CAD remains unclear. In our study, 40 kidney transplantation recipients with late graft survival for more than 10 years were enrolled. The CAD group (n = 20) had either an eGFR between 15 to 60 mL/min or a biopsy-proved chronic allograft nephropathy or rejection. The control group (n = 20) had an eGFR ≥ 60 mL/min without proteinuria and hematuria for a consecutive 3 months before the study. We performed RNA sequencing to profile the miRNAs expression. There were six differentially expressed miRNAs in the CAD group. Among them, miR-21-5p and miR-101-3p were decreased, and miR-20a-5p was increased. We found that miR-21-5p, miR-20a-5p and miR-101-3p all participated in the TGF-beta pathway. We demonstrated that decreased miR-21-5p and miR-101-3p, and increased miR-20a-5p were the novel CAD-associated miRNAs in the TGF-beta pathway. These findings may pave the way for developing early prediction miRNAs biomarkers for CAD, and possibly developing therapeutic tools in the field of kidney transplantation.
Collapse
Affiliation(s)
- Yu-Jen Chen
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Chia-Tien Hsu
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Shang-Feng Tsai
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Life Science, Tunghai University, Taichung 407224, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Cheng-Hsu Chen
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Life Science, Tunghai University, Taichung 407224, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
- School of Medicine, China Medical University, Taichung 651012, Taiwan
- Correspondence: ; Tel.: +886-4-23592525 (ext. 3040)
| |
Collapse
|
3
|
Earle A, Bessonny M, Benito J, Huang K, Parker H, Tyler E, Crawford B, Khan N, Armstrong B, Stamatikos A, Garimella S, Clay-Gilmour A. Urinary Exosomal MicroRNAs as Biomarkers for Obesity-Associated Chronic Kidney Disease. J Clin Med 2022; 11:jcm11185271. [PMID: 36142918 PMCID: PMC9502686 DOI: 10.3390/jcm11185271] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/24/2022] [Accepted: 09/01/2022] [Indexed: 11/16/2022] Open
Abstract
The early detection of chronic kidney disease (CKD) is key to reducing the burden of disease and rising costs of care. This need has spurred interest in finding new biomarkers for CKD. Ideal bi-omarkers for CKD should be: easy to measure; stable; reliably detected, even when interfering substances are present; site-specific based on the type of injury (tubules vs. glomeruli); and its changes in concentration should correlate with disease risk or outcome. Currently, no single can-didate biomarker fulfills these criteria effectively, and the mechanisms underlying kidney fibrosis are not fully understood; however, there is growing evidence in support of microRNA-mediated pro-cesses. Specifically, urinary exosomal microRNAs may serve as biomarkers for kidney fibrosis. In-creasing incidences of obesity and the recognition of obesity-associated CKD have increased interest in the interplay of obesity and CKD. In this review, we provide: (1) an overview of the current scope of CKD biomarkers within obese individuals to elucidate the genetic pathways unique to obesi-ty-related CKD; (2) a review of microRNA expression in obese individuals with kidney fibrosis in the presence of comorbidities, such as diabetes mellitus and hypertension; (3) a review of thera-peutic processes, such as diet and exercise, that may influence miR-expression in obesity-associated CKD; (4) a review of the technical aspects of urinary exosome isolation; and (5) future areas of research.
Collapse
Affiliation(s)
- Angel Earle
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Madison Bessonny
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Josh Benito
- Prisma Health, Pediatric Nephrology, Greenville, SC 29615, USA
| | - Kun Huang
- Department of Food, Nutrition, and Packaging Sciences, College of Agriculture, Forestry & Life Sciences, Clemson University, Clemson, SC 29634, USA
| | - Hannah Parker
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Emily Tyler
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Brittany Crawford
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Nabeeha Khan
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Bridget Armstrong
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Alexis Stamatikos
- Department of Food, Nutrition, and Packaging Sciences, College of Agriculture, Forestry & Life Sciences, Clemson University, Clemson, SC 29634, USA
| | - Sudha Garimella
- Prisma Health, Pediatric Nephrology, Greenville, SC 29615, USA
| | - Alyssa Clay-Gilmour
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Correspondence:
| |
Collapse
|