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Jin-Yeong Han  (Han JY) 2 Articles
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
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  • 53 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
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    Scientific Reports.2023;[Epub]     CrossRef
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    Jaehyun Bae, Byung-Wan Lee
    Biomedicines.2023; 11(7): 1928.     CrossRef
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    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
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    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
    Journal of Interferon & Cytokine Research.2021; 41(9): 329.     CrossRef
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    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
    Jirarat Eiamcharoenying, Win Kulvichit, Nuttha Lumlertgul, Tawatchai Chaiwatanarat, Sadudee Peerapornratana, Nattachai Srisawat
    Journal of Critical Care.2020; 59: 201.     CrossRef
  • 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
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    Houston Wilson, Charles S Burks, Joshua E Reger, Jacob A Wenger, Kelly Tindall
    Journal of Integrated Pest Management.2020;[Epub]     CrossRef
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    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
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  • 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
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  • 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
  • 4,403 View
  • 27 Download
  • 26 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

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    TrAC Trends in Analytical Chemistry.2023; 158: 116857.     CrossRef
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