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Lu Z, Ni W, Wu Y, Zhai B, Zhao Q, Zheng T, Liu Q, Ding D. Application of biomarkers in the diagnosis of kidney disease. Front Med (Lausanne) 2025; 12:1560222. [PMID: 40370722 PMCID: PMC12075424 DOI: 10.3389/fmed.2025.1560222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2025] [Accepted: 04/16/2025] [Indexed: 05/16/2025] Open
Abstract
Worldwide, kidney disease has grown to be an important global public health agenda that reduces longevity. Medical institutions around the globe should enhance screening efforts for kidney disease, to facilitate early kidney disease detection, diagnosis, and intervention. Common screening methods for nephropathy encompass renal tissue biopsy, urine dry chemistry tests, urine formed element analysis, and urine-specific protein assays, among others. These methodologies evaluate renal health by scrutinizing a spectrum of biomarkers. Precise classification and quantitative analysis of these biomarkers can assist in determining the site and extent of kidney injury, as well as in assessing treatment efficacy and prognosis. In this paper, we reviewed the methods and biomarkers for kidney disease and also the integration of multiple biomarkers. With the aim of reasonable applying these markers to the early detection, accurate diagnosis, and scientific management of kidney disease, thereby mitigating the threat posed by kidney disease to human health.
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Affiliation(s)
- Zuohua Lu
- Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China
| | - Weifeng Ni
- Department of Endocrinology, Rheumatology and Immunology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yuding Wu
- Goldsite Diagnostics Inc., Shenzhen, China
| | - Bin Zhai
- Department of Clinical Laboratory, Baotou Central Hospital, Baotou, China
| | - Qiuyun Zhao
- Department of Clinical Laboratory, Guilin Hospital of Integrated Traditional Chinese and Western Medicine, Guilin, China
| | - Tian Zheng
- Department of Clinical Laboratory, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Qianqian Liu
- Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China
| | - Dapeng Ding
- Department of Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, Dalian, China
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Vodehnal S, Mohan C. Urinary biomarkers for active Lupus Nephritis that have survived independent validation across cohorts. Kidney Int 2024; 106:1135-1145. [PMID: 39370040 DOI: 10.1016/j.kint.2024.09.007] [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: 01/09/2024] [Revised: 08/14/2024] [Accepted: 09/13/2024] [Indexed: 10/08/2024]
Abstract
Most reported biomarkers for lupus nephritis (LN) have not been independently validated across cohorts. Moreover, many of the documented biomarker candidates have been reported to be elevated in LN compared to healthy controls. However, biomarkers that distinguish patients with active LN (ALN) from inactive systemic lupus erythematosus (iSLE) hold significant clinical utility. Hence, our review attempts to identify urine protein biomarkers for LN that have been independently validated across two or more cohorts and exhibit good diagnostic potential for distinguishing ALN from iSLE. PubMed and OVID were screened for studies assessing the diagnostic value of urinary biomarkers in patients with ALN compared to iSLE. Forty peer-reviewed articles were evaluated, encompassing urine biomarker data from 3,411 distinct patients. Of the 32 candidate biomarkers identified, fourteen were repeatedly reported/tested in four or more papers each, namely ALCAM, CCL2 (MCP1), CD163, HAVCR1 (KIM-1), HPGDS, ICAM-1 (CD54), ICAM-2 (CD102), IGFBP-2, LCN2, NCAM-1 (CD56), SELE (E-Selectin), SELL (L-Selectin), TNFSF12 (TWEAK), and VCAM-1, with most exhibiting C-statistics of 0.80 or more across multiple studies when discriminating patients with ALN from iSLE. The 32 reproducibly elevated biomarkers for active LN mapped to nine functional categories. The urinary proteins reported here promise to serve as a liquid biopsy for ALN. Besides representing potential candidates for diagnostic, monitoring, predictive, and prognostic biomarkers in LN, they also provide a window into potential molecular processes within the kidney that may be driving LN. Thus, ongoing advances in proteomics, which offer wider proteome coverage at increased sensitivity, are likely to further reshape our perspective of urinary biomarkers for LN.
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Affiliation(s)
- Sonja Vodehnal
- Biomedical Engineering Department, University of Houston, Houston, Texas, USA
| | - Chandra Mohan
- Biomedical Engineering Department, University of Houston, Houston, Texas, USA.
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Liu T, Yang YL, Zhou Y, Jiang YM. Noninvasive biomarkers for lupus nephritis. Lab Med 2024; 55:535-542. [PMID: 38493322 PMCID: PMC11371907 DOI: 10.1093/labmed/lmae015] [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] [Indexed: 03/18/2024] Open
Abstract
Lupus nephritis (LN) is one of the most severe clinical manifestations of systemic lupus erythematosus (SLE). Notably, the clinical manifestations of LN are not always consistent with the histopathological findings. Therefore, the diagnosis and activity monitoring of this disease are challenging and largely depend on invasive renal biopsy. Renal biopsy has side effects and is associated with the risk of bleeding and infection. There is a growing interest in the development of novel noninvasive biomarkers for LN. In this review, we summarize most of the LN biomarkers discovered so far by correlating current knowledge with future perspectives. These biomarkers fundamentally reflect the biological processes of kidney damage and repair during disease. Furthermore, this review highlights the role of urinary cell phenotype detection in the diagnosis, monitoring, and treatment of LN and summarizes the limitations and countermeasures of this test.
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Affiliation(s)
- Ting Liu
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Biotherapy and Cancer Center/National Collaborative Innovation Center for Biotherapy, Sichuan University, Chengdu, China
| | - Yun-Long Yang
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yan Zhou
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yong-Mei Jiang
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China
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Zheng J, Wu F, Wang F, Cheng J, Zou H, Li Y, Du J, Kan J. Biomarkers of Micronutrients and Phytonutrients and Their Application in Epidemiological Studies. Nutrients 2023; 15:nu15040970. [PMID: 36839326 PMCID: PMC9959711 DOI: 10.3390/nu15040970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/21/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
Nutritional biomarkers can be used as important indicators of nutritional status and play crucial roles in the prevention as well as prognosis optimization of various metabolism-related diseases. Measuring dietary with the deployment of biomarker assessments provides quantitative nutritional information that can better predict the health outcomes. With the increased availability of nutritional biomarkers and the development of assessment tools, the specificity and sensitivity of nutritional biomarkers have been greatly improved. This enables efficient disease surveillance in nutrition research. A wide range of biomarkers have been used in different types of studies, including clinical trials, observational studies, and qualitative studies, to reflect the relationship between diet and health. Through a comprehensive literature search, we reviewed the well-established nutritional biomarkers of vitamins, minerals, and phytonutrients, and their association with epidemiological studies, to better understand the role of nutrition in health and disease.
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Affiliation(s)
- Jianheng Zheng
- Nutrilite Health Institute, 720 Cailun Road, Shanghai 201203, China
| | - Feng Wu
- Sequanta Technologies Co., Ltd., 240 Hedan Road, Shanghai 200131, China
| | - Feijie Wang
- Nutrilite Health Institute, 720 Cailun Road, Shanghai 201203, China
| | - Junrui Cheng
- Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC 27695, USA
| | - Hong Zou
- Sequanta Technologies Co., Ltd., 240 Hedan Road, Shanghai 200131, China
| | - Yuan Li
- Sequanta Technologies Co., Ltd., 240 Hedan Road, Shanghai 200131, China
| | - Jun Du
- Nutrilite Health Institute, 720 Cailun Road, Shanghai 201203, China
| | - Juntao Kan
- Nutrilite Health Institute, 720 Cailun Road, Shanghai 201203, China
- Correspondence: ; Tel.: +86-21-2305-6982
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Zhang T, Duran V, Vanarsa K, Mohan C. Targeted urine proteomics in lupus nephritis - a meta-analysis. Expert Rev Proteomics 2021; 17:767-776. [PMID: 33423575 DOI: 10.1080/14789450.2020.1874356] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Proteomic approaches are central in biomarker discovery. While mass-spectrometry-based techniques are widely used, novel targeted proteomic platforms have enabled the high-throughput detection of low-abundance proteins in an affinity-based manner. Urine has gained growing attention as an ideal biofluid for monitoring renal disease including lupus nephritis (LN). METHODS Pubmed was screened for targeted proteomic studies of LN urine interrogating ≥1000 proteins. Data from the primary studies were combined and a meta-analysis was performed. Shared proteins elevated in active LN across studies were identified, and relevant pathways were elucidated using ingenuity pathway and gene ontology analysis. Urine proteomic data was cross-referenced against renal single-cell RNAseq data from LN kidneys. RESULTS Two high-throughput targeted proteomic platforms with capacity to interrogate ≥1000 proteins have been used to investigate LN urine. Twenty-three urine proteins were significantly elevated in both studies, including 10 chemokines, and proteins implicated in angiogenesis, and extracellular matrix turnover. Of these, Cathepsin S, CXCL10, FasL, ferritin, macrophage migration inhibitory factor (MIF), and resistin were also significantly elevated within LN kidneys. CONCLUSION Targeted urinary proteomics have uncovered multiple novel biomarkers for LN. Further validation in prospective cohorts and mechanistic studies are warranted to establish their clinical utility.
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Affiliation(s)
- Ting Zhang
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
| | - Valeria Duran
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
| | - Kamala Vanarsa
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
| | - Chandra Mohan
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
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