- Clinical Usefulness of Serum Cystatin C as a Marker of Renal Function
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Kwang-Sook Woo, Jae-Lim Choi, Bo-Ram Kim, Ji-Eun Kim, Jin-Yeong Han
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Diabetes Metab J. 2014;38(4):278-284. Published online August 20, 2014
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DOI: https://doi.org/10.4093/dmj.2014.38.4.278
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Abstract
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- Background
Accurate renal function measurements are important in the diagnosis and treatment of kidney diseases. In contrast to creatinine, the production of serum cystatin C has been extensively reported to be unaffected by body muscle mass, age, gender, and nutritional status. MethodsOur study included 37 samples from diabetic chronic kidney disease (CKD) patients for whom serum creatinine tests had been requested and 40 samples from a healthy populations in Dong-A University Hospital between May 2010 and June 2010. The assay precision (i.e., the coefficient of variation) and the reference range of the serum cystatin C test were evaluated. We compared the estimated glomerular filtration rates (GFRs) based on cystatin C with those based on creatinine. Moreover, we investigated the influences of age, gender, weight, and muscle mass on serum creatinine and serum cystatin C. ResultsThere was a positive correlation between GFR based on creatinine and that based on cystatin C (r=0.79, P<0.0001) among the diabetic CKD patients. Serum creatinine and cystatin C were significantly correlated with body weight and muscle mass, but the strengths of these correlations were greater for serum creatinine. The precision study revealed excellent results for both the high and low controls. The 95% reference interval of cystatin C in the healthy population was 0.371 to 1.236 mg/L. ConclusionBased on these results, we conclude that, despite the strong correlation between serum creatinine and cystatin C, cystatin C is less affected by weight and muscle mass and might represent a better alternative for the assessment of renal function.
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- Dyslipidemia and serum cystatin C levels as biomarker of diabetic nephropathy in patients with type 2 diabetes mellitus
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Rugang Li, Min He, Qilin Yang, Zezhi Liang, Ying li, Ling Huang, Rong Wu, Jieping Huang Scientific Reports.2023;[Epub] CrossRef - Significance of Diabetic Kidney Disease Biomarkers in Predicting Metabolic-Associated Fatty Liver Disease
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Tuan Nguyen Van, Linh Phan Ha, Diep Pham Thao, Minh Nguyen Thi Binh, Minh Hoang Thi, Thuan Huynh Quang, Lan Thi Phuong Dam Nephro-Urology Monthly.2022;[Epub] CrossRef - Role of cystatin C in urogenital malignancy
Li Ding, Zijie Liu, Junqi Wang Frontiers in Endocrinology.2022;[Epub] CrossRef - Comparison of cystatin C-based and creatinine-based glomerular filtration rate in the prediction of postoperative residual hypertension in aldosterone-producing adenoma patients after adrenalectomy
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Yanqun Wu, Shunhua Wang, Xiaoqing Xu Journal of Interferon & Cytokine Research.2021; 41(9): 329. CrossRef - Stressors and Resilience: An Integrative Model for Understanding Chronic Kidney Disease
Jacob Hwang, Arvin Jenab Alternative and Complementary Therapies.2021; 27(6): 267. CrossRef - The role of serum cystatin C in estimation of renal function in survivors of critical illness
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James Roland Markos, Karen S. Schaepe, Hilary R. Teaford, Andrew D. Rule, Kianoush B. Kashani, John C. Lieske, Erin F. Barreto, Pierre Delanaye PLOS ONE.2020; 15(12): e0243618. CrossRef - Influence of Anthropometric Measurements on Serum Creatinine, Urea and eGFR in Healthy Adolescent Subjects
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Gianluca Gessoni, Sara Valverde, Francesca Gessoni, Letizia Valle, Marina Bortolotti, Vincenzo Lidestri, Michele Urso, Roberto Valle La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine.2016; 12(4): 243. CrossRef - СHARACTERISTICS OF THE HEART FATTY ACID-BINDING PROTEIN, INTERLEUKIN-6 AND INTERLEUKIN-8 AS ALTERNATIVE MARKERS OF DIABETIC NEPHROPATHY PROGRESSION IN PATIENTS WITH TYPE 1 DIABETES MELLITUS
Yu. A. Ryzhikova, I. N. Vorozhtsova, T. V. Saprina, V. D. Zavadovskaya, A. B. Merinov, I. V. Kulagina Bulletin of Siberian Medicine.2015; 14(5): 61. CrossRef - Performance of Cystatin C– and Creatinine-Based Estimated Glomerular Filtration Rate Equations Depends on Patient Characteristics
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Kristin M Corapi, Mary Anne Dooley, William F Pendergraft Arthritis Research & Therapy.2015;[Epub] CrossRef - Evaluation of Serum Cystatin C as a Marker of Early Renal Impairment in Patients with Liver Cirrhosis
Mahmoud Omar, Wael Abdel-Razek, Gamal Abo-Raia, Medhat Assem, Gasser El-Azab International Journal of Hepatology.2015; 2015: 1. CrossRef - Efficient expression, purification and characterization of native human cystatin C in Escherichia coli periplasm
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- Urinary Neutrophil Gelatinase-Associated Lipocalin Levels in Comparison with Glomerular Filtration Rate for Evaluation of Renal Function in Patients with Diabetic Chronic Kidney Disease
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Kwang-Sook Woo, Jae-Lim Choi, Bo-Ram Kim, Ji-Eun Kim, Won-Suk An, Jin-Yeong Han
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Diabetes Metab J. 2012;36(4):307-313. Published online August 20, 2012
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DOI: https://doi.org/10.4093/dmj.2012.36.4.307
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- Background
Neutrophil gelatinase-associated lipocalin (NGAL) is a promising biomarker of acute kidney injury. There is a growing body of evidence suggesting that NGAL is also a marker of kidney disease and severity in chronic kidney disease (CKD). We studied the utility of urinary NGAL in more accurately predicting renal function in patients with diabetic CKD. MethodsWe studied possible relationships between urinary NGAL, estimated glomerular filtration rate (eGFR), and proteinuria in diabetic CKD patients and in healthy populations. ResultsUrinary NGAL levels were significantly higher in CKD patients than in healthy controls (96.0 [2.7 to 975.2] ng/mL vs. 18.8 [1.3 to 81.9] ng/mL, P=0.02), and the GFR was lower among CKD patients (49.3 [13.1 to 78.3] mL/min/1.73 m2 vs. 85.6 [72 to 106.7] mL/min/1.73 m2, P<0.0001). The urinary NGAL level showed a significant inverse correlation with GFR (r=-0.5634, P<0.0001). The correlation analyses between urinary protein level and urinary NGAL levels and GFR were as follows: urine protein and urinary NGAL (r=0.3009, P=0.0256), urine protein and GFR (r=-0.6245, P<0.0001), urine microalbumin and urinary NGAL (r=0.1794, P=0.2275), and urine microalbumin and GFR (r=-0.5190, P=0.0002). ConclusionFrom these results, we concluded that urinary NGAL is a reliable marker of renal function in diabetic CKD patients. However, urinary NGAL did not provide more accurate information regarding renal function than GFR.
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Citations
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- Validation of plasma neutrophil gelatinase–associated lipocalin as a biomarker for diabetes-related acute kidney injury
Kendra B. Bufkin, Zubair A. Karim, Jeane Silva Science Progress.2024;[Epub] CrossRef - Nanoparticle-antibody conjugate-based immunoassays for detection of CKD-associated biomarkers
Monika Chhillar, Deepak kukkar, Preeti Kukkar, Ki-Hyun Kim TrAC Trends in Analytical Chemistry.2023; 158: 116857. CrossRef - Fecal and Urinary Adipokines as Disease Biomarkers
Hauke C. Tews, Tanja Elger, Thomas Grewal, Simon Weidlich, Francesco Vitali, Christa Buechler Biomedicines.2023; 11(4): 1186. CrossRef - Application of SERS-based nanobiosensors to metabolite biomarkers of CKD
Deepak Kukkar, Monika Chhillar, Ki-Hyun Kim Biosensors and Bioelectronics.2023; 232: 115311. CrossRef - Correlation of Urinary Neutrophil Gelatinase with the Histopathological Extent of Kidney Damage in Patients with Diabetic Nephropathy
Priya Garg, Manjunath Shetty, Vani Krishnamurthy Saudi Journal of Kidney Diseases and Transplantation.2023; 34(Suppl 1): S112. CrossRef - A New Clinical Utility for Tubular Markers to Identify Kidney Responders to Saxagliptin Treatment in Adults With Diabetic Nephropathy
Marwa Mohsen, Ahmed A. Elberry, Alaa Mohamed Rabea, Doaa Mahmoud Khalil, Mohamed E.A. Abdelrahim, Raghda R.S. Hussein Canadian Journal of Diabetes.2022; 46(2): 134. CrossRef - Serum Neutrophil Gelatinase Associated Lipocalin in Patients with Toxic Nephropathies. Prospective Study
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Olatubosun Oladipupo Olawale, Abiodun Folasade Adekanmbi, Ayobola Abimbola Sonuga, Oyebola Oluwagbemiga Sonuga, Samuel Olufemi Akodu, Morufat Mojisola Ogundeyi Medical Principles and Practice.2021; 30(6): 557. CrossRef - Association of neutrophil-gelatinase-associated lipocalin with microvascular complications in patients with type 2 diabetes: a cross-sectional study
Erhan Aslanhan, David Ojalvo, Ekmek Burak Özsenel, Sema Ucak Basat, Fatih Borlu Cardiovascular Endocrinology & Metabolism.2019; 8(3): 82. CrossRef - MicroRNA as novel biomarkers and therapeutic targets in diabetic kidney disease: An update
Qinghua Cao, Xin‐Ming Chen, Chunling Huang, Carol A. Pollock FASEB BioAdvances.2019; 1(6): 375. CrossRef - Potential serum biomarkers for early detection of diabetic nephropathy
Tarek Kamal Motawi, Nagwa Ibrahim Shehata, Mahmoud Mohamed ElNokeety, Yasmin Farid El-Emady Diabetes Research and Clinical Practice.2018; 136: 150. CrossRef - Modern methods of diagnosing chronic kidney disease in patients with diabetes mellitus
Tatiana N. Markova, Viktoriia V. Sadovskaya, Marina Y. Bespyatova Diabetes mellitus.2018; 20(6): 454. CrossRef - Evaluation value of neutrophil gelatinase‐associated lipocalin for the renal dysfunction of patients with chronic kidney disease: A meta‐analysis
Lulu Guo, Yaya Zhao, Zhenzhu Yong, Weihong Zhao AGING MEDICINE.2018; 1(2): 185. CrossRef - Urinary Tubular Injury Biomarkers Are Associated With ESRD and Death in the REGARDS Study
Ruth F. Dubin, Suzanne Judd, Rebecca Scherzer, Michael Shlipak, David G. Warnock, Mary Cushman, Mark Sarnak, Chirag Parikh, Michael Bennett, Neil Powe, Carmen A. Peralta Kidney International Reports.2018; 3(5): 1183. CrossRef - Add-on plasmonic patch as a universal fluorescence enhancer
Jingyi Luan, Jeremiah J. Morrissey, Zheyu Wang, Hamed Gholami Derami, Keng-Ku Liu, Sisi Cao, Qisheng Jiang, Congzhou Wang, Evan D. Kharasch, Rajesh R. Naik, Srikanth Singamaneni Light: Science & Applications.2018;[Epub] CrossRef - Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
Marcelo R. Bacci, Ethel Z. Chehter, Ligia A. Azzalis, Beatriz Costa de Aguiar Alves, Fernando L.A. Fonseca Kidney International Reports.2017; 2(2): 152. CrossRef - Urine neutrophil gelatinase-associated lipocalin to predict renal response after induction therapy in active lupus nephritis
Bancha Satirapoj, Chagriya Kitiyakara, Asada Leelahavanichkul, Yingyos Avihingsanon, Ouppatham Supasyndh BMC Nephrology.2017;[Epub] CrossRef - Assessment of Neutrophil Gelatinase-Associated Lipocalin (NGAL) and Retinol-Binding Protein 4 (RBP4) in Type 2 Diabetic Patients with Nephropathy
Mohamed H. Mahfouz, Adel M. Assiri, Mohammed H. Mukhtar Biomarker Insights.2016; 11: BMI.S33191. CrossRef - Intra-abdominal Hypertension and Postoperative Kidney Dysfunction in Cardiac Surgery Patients
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Fenghua Liu, Huayu Yang, Haiping Chen, Mi Zhang, Qing Ma Advances in Medical Sciences.2015; 60(1): 133. CrossRef - Anti-albuminuric effects of spironolactone in patients with type 2 diabetic nephropathy: a multicenter, randomized clinical trial
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Abeer A. Al-Refai, Safaa I. Tayel, Ahmed Ragheb, Ashraf G. Dala, Ahmed Zahran Open Journal of Nephrology.2014; 04(01): 37. CrossRef - Importance of Neutrophil Gelatinase-Associated Lipocalin in Differential Diagnosis of Acute and Chronic Renal Failure
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