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Clinical Usefulness of Serum Cystatin C as a Marker of Renal Function
Kwang-Sook Woo, Jae-Lim Choi, Bo-Ram Kim, Ji-Eun Kim, Jin-Yeong Han
Diabetes Metab J. 2014;38(4):278-284.   Published online August 20, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.4.278
  • 4,161 View
  • 47 Download
  • 24 Web of Science
  • 26 Crossref
AbstractAbstract PDFPubReader   
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.

Methods

Our 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.

Results

There 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.

Conclusion

Based 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.

Citations

Citations to this article as recorded by  
  • Dyslipidemia and serum cystatin C levels as biomarker of diabetic nephropathy in patients with type 2 diabetes mellitus
    Tadesse Asmamaw Dejenie, Endeshaw Chekol Abebe, Misganaw Asmamaw Mengstie, Mohammed Abdu Seid, Natnael Atnafu Gebeyehu, Getachew Asmare Adella, Gizchew Ambaw Kassie, Amanuel Yosef Gebrekidan, Molalegn Mesele Gesese, Kirubel Dagnaw Tegegne, Denekew Tenaw A
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Association between serum creatinine and type 2 diabetes in the Chinese population: a retrospective cohort study
    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
    Jaehyun Bae, Byung-Wan Lee
    Biomedicines.2023; 11(7): 1928.     CrossRef
  • Reconsideration of the current models of estimated kidney function‐based drug dose adjustment in older adults: The role of biological age
    Radin Alikhani, Manjunath P. Pai
    Clinical and Translational Science.2023; 16(11): 2095.     CrossRef
  • The Level of Plasma Cystatin C in Patients with Chronic Kidney Disease
    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
    Ching-Way Chen, Cheng-Hsuan Tsai, Chi-Sheng Hung, I-Jung Tsai, Yu-Wei Chiu, Chin-Cheng Chang, Kao-Lang Liu, Shih-Cheng Liao, Vin-Cent Wu, Yen-Hung Lin
    Clinica Chimica Acta.2021; 520: 147.     CrossRef
  • Harmonizing acute and chronic kidney disease definition and classification: report of a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference
    Norbert H. Lameire, Adeera Levin, John A. Kellum, Michael Cheung, Michel Jadoul, Wolfgang C. Winkelmayer, Paul E. Stevens, Fergus J. Caskey, Chris K.T. Farmer, Alejandro Ferreiro Fuentes, Masafumi Fukagawa, Stuart L. Goldstein, Grace Igiraneza, Andreas Kr
    Kidney International.2021; 100(3): 516.     CrossRef
  • Correlation of Serum Cystatin C with Renal Function in Gout Patients with Renal Injury
    Yanqun Wu, Shunhua Wang, Xiaoqing Xu
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  • Stressors and Resilience: An Integrative Model for Understanding Chronic Kidney Disease
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    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
    Jirarat Eiamcharoenying, Win Kulvichit, Nuttha Lumlertgul, Tawatchai Chaiwatanarat, Sadudee Peerapornratana, Nattachai Srisawat
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  • Clinician perspectives on inpatient cystatin C utilization: A qualitative case study at Mayo Clinic
    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
    Kavita Rasalkar, Nagaraju Kashamsetty, Bandi Sai Karthik
    Journal of Evidence Based Medicine and Healthcare.2020; 7(36): 1917.     CrossRef
  • Biology and Management of Navel Orangeworm (Lepidoptera: Pyralidae) in California
    Houston Wilson, Charles S Burks, Joshua E Reger, Jacob A Wenger, Kelly Tindall
    Journal of Integrated Pest Management.2020;[Epub]     CrossRef
  • Low serum creatinine and risk of diabetes: The Japan Epidemiology Collaboration on Occupational Health Study
    Huanhuan Hu, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto, Hiroko Okazaki, Makoto Yamamoto, Toshiaki Miyamoto, Masafumi Eguchi, Takeshi Kochi, Makiko Shimizu, Taizo Murakami, Kentaro Tomita, Takayuki Ogasawara, Naoko Sasaki, Akihiko Uehara, Keisuke Kuwa
    Journal of Diabetes Investigation.2019; 10(5): 1209.     CrossRef
  • Comparison of monitoring techniques in and near almonds and pistachios under mating disruption treatment for navel orangeworm
    C. Burks, B. Higbee, J. Beck
    Acta Horticulturae.2018; (1219): 331.     CrossRef
  • Evaluation of creatinine-based and cystatin C-based equations for estimation of glomerular filtration rate in type 1 diabetic patients
    Caroline Pereira Domingueti, Rodrigo Bastos Fóscolo, Ana Cristina Simões e Silva, Luci Maria S. Dusse, Janice Sepúlveda Reis, Maria das Graças Carvalho, Ana Paula Fernandes, Karina Braga Gomes
    Archives of Endocrinology and Metabolism.2016; 60(2): 108.     CrossRef
  • Diagnostic Accuracy of Serum Cystatin C for the Evaluation of Renal Dysfunction in Diabetic Patients: A Meta‐Analysis
    Shi‐kun Yang, Jun Liu, Xian‐ming Zhang, Chun Hu, Wei Zhang, Lin Sun, Hao Zhang
    Therapeutic Apheresis and Dialysis.2016; 20(6): 579.     CrossRef
  • Treatable glomerular hyperfiltration in patients with active acromegaly
    Shingo Fujio, Koji Takano, Hiroshi Arimura, Mika Habu, Manoj Bohara, Horofumi Hirano, Ryosuke Hanaya, Yoshihiko Nishio, Chihaya Koriyama, Yasuyuki Kinoshita, Kazunori Arita
    European Journal of Endocrinology.2016; 175(4): 325.     CrossRef
  • Glomerular filtration rate assessed by using creatinine and cystatin in patients treated with dabigatran
    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
    Jeffrey W Meeusen, Andrew D Rule, Nikolay Voskoboev, Nikola A Baumann, John C Lieske
    Clinical Chemistry.2015; 61(10): 1265.     CrossRef
  • Comparison and evaluation of lupus nephritis response criteria in lupus activity indices and clinical trials
    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
    Yongjun Zhou, Yan Zhou, Jun Li, Jian Chen, Yuqin Yao, Lin Yu, Desheng Peng, Mingrong Wang, Dan Su, Yong He, Lantu Gou
    Protein Expression and Purification.2015; 111: 18.     CrossRef
  • Comparison of Carvedilol and Metoprolol for Preventing Contrast-Induced Nephropathy after Coronary Angiography
    Mustafa Yılmaz, Alp Aydınalp, Kaan Okyay, Abdullah Tekin, Uğur Abbas Bal, Nilüfer Bayraktar, Aylin Yıldırır, Haldun Müderrisoğlu
    Cardiorenal Medicine.2015; 5(3): 199.     CrossRef
Urinary Neutrophil Gelatinase-Associated Lipocalin Levels in Comparison with Glomerular Filtration Rate for Evaluation of Renal Function in Patients with Diabetic Chronic Kidney Disease
Kwang-Sook Woo, Jae-Lim Choi, Bo-Ram Kim, Ji-Eun Kim, Won-Suk An, Jin-Yeong Han
Diabetes Metab J. 2012;36(4):307-313.   Published online August 20, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.4.307
  • 4,006 View
  • 27 Download
  • 25 Crossref
AbstractAbstract PDFPubReader   
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.

Methods

We studied possible relationships between urinary NGAL, estimated glomerular filtration rate (eGFR), and proteinuria in diabetic CKD patients and in healthy populations.

Results

Urinary 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).

Conclusion

From 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.

Citations

Citations to this article as recorded by  
  • Nanoparticle-antibody conjugate-based immunoassays for detection of CKD-associated biomarkers
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  • Fecal and Urinary Adipokines as Disease Biomarkers
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    Biomedicines.2023; 11(4): 1186.     CrossRef
  • Application of SERS-based nanobiosensors to metabolite biomarkers of CKD
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    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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    Annals of the Russian academy of medical sciences.2021; 76(2): 142.     CrossRef
  • Assessment of Renal Function Status in Steady-State Sickle Cell Anaemic Children Using Urine Human Neutrophil Gelatinase-Associated Lipocalin and Albumin:Creatinine Ratio
    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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    Journal of Cardiothoracic and Vascular Anesthesia.2016; 30(6): 1571.     CrossRef
  • Effects of Therapy on Urine Neutrophil Gelatinase-Associated Lipocalin in Nondiabetic Glomerular Diseases with Proteinuria
    Amnuay Sirisopha, Somlak Vanavanan, Anchalee Chittamma, Bunyong Phakdeekitcharoen, Ammarin Thakkinstian, Amornpan Lertrit, Nuankanya Sathirapongsasuti, Chagriya Kitiyakara
    International Journal of Nephrology.2016; 2016: 1.     CrossRef
  • Novel urinary biomarkers in pre-diabetic nephropathy
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    Clinical and Experimental Nephrology.2015; 19(5): 895.     CrossRef
  • High expression of neutrophil gelatinase-associated lipocalin (NGAL) in the kidney proximal tubules of diabetic rats
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    Advances in Medical Sciences.2015; 60(1): 133.     CrossRef
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    Clinical and Experimental Nephrology.2015; 19(6): 1098.     CrossRef
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    Nephrology Dialysis Transplantation.2014; 29(3): 611.     CrossRef
  • Urinary Neutrophil Gelatinase Associated Lipocalin as a Marker of Tubular Damage in Type 2 Diabetic Patients with and without Albuminuria
    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
    Seda Ozkan, Polat Durukan, Cemil Kavalci, Ali Duman, Mustafa Burak Sayhan, Omer Salt, Afsin Ipekci
    Iranian Red Crescent Medical Journal.2014;[Epub]     CrossRef
  • Combined biomarkers evaluation for diagnosing kidney injury in preeclampsia
    Jing Xiao, Jianying Niu, Xianwu Ye, Qianqian Yu, Yong Gu
    Hypertension in Pregnancy.2013; 32(4): 439.     CrossRef

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