Skip to main content
Log in

Urinary cystatin C: pediatric reference intervals and comparative assessment as a biomarker of renal injury among children in the regions with high burden of CKDu in Sri Lanka

  • Original Article
  • Published:
World Journal of Pediatrics Aims and scope Submit manuscript

Abstract

Background

Cystatin C (Cys-C) is an emerging biomarker of renal diseases and its clinical use, particularly for screening the communities affected by chronic kidney disease of unknown etiology (CKDu), is hindered due to the lack of reference intervals (RIs) for diverse ethnic and age groups. The present study aimed to define RIs for urinary Cys-C (uCys-C) for a healthy pediatric population in Sri Lanka and in turn compare the renal function of the residential children in CKDu endemic and non-endemic regions in Sri Lanka.

Methods

A cross-sectional study was conducted with 850 healthy children (10–17 years) from selected locations for reference interval establishment, while a total of 892 children were recruited for the comparative study. Urine samples were collected and analyzed for Cys-C, creatinine (Cr) and albumin. Cr-adjusted uCys-C levels were partitioned by age, and RIs were determined with quantile regression (2.5th, 50th and 97.5th quantiles) at 90% confidence interval.

Results

The range of median RIs for uCys-C in healthy children was 45.94–64.44 ng/mg Cr for boys and 53.58–69.97 ng/mg Cr for girls. The median (interquartile range) uCys-C levels of children in the CKDu endemic and non-endemic regions were 58.18 (21.8–141.9) and 58.31 (23.9–155.3) ng/mg Cr with no significant difference (P = 0.781). A significant variation of uCys-C was noted in the children across age.

Conclusions

Notably high uCys-C levels were observed in children with elevated proteinuria. Thus, uCys-C could be a potential biomarker in identifying communities at high risk of CKDu susceptibility.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are not publicly available due restrictions under the approval of the ethics review board, but are available from the corresponding author on reasonable request.

References

  1. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395:709–33.

    Article  Google Scholar 

  2. Agampodi SB, Amarasinghe GS, Naotunna PGCR, Jayasumana CS, Siribaddana SH. Early renal damage among children living in the region of highest burden of chronic kidney disease of unknown etiology (CKDu) in Sri Lanka. BMC Nephrol. 2018;19:115.

    Article  CAS  Google Scholar 

  3. Leibler JH, Ramirez-Rubio O, Velázquez JJA, Pilarte DL, Obeid W, Parikh CR, et al. Biomarkers of kidney injury among children in a high-risk region for chronic kidney disease of uncertain etiology. Pediatr Nephrol. 2021;36:387–96.

    Article  Google Scholar 

  4. Ramírez-Rubio O, Amador JJ, Kaufman JS, Weiner DE, Parikh CR, Khan U, et al. Urine biomarkers of kidney injury among adolescents in Nicaragua, a region affected by an epidemic of chronic kidney disease of unknown aetiology. Nephrol Dial Transplant. 2016;31:424–32.

    Article  Google Scholar 

  5. Babich R, Ulrich JC, Ekanayake EMDV, Massarsky A, De Silva PMCS, Manage PM, et al. Kidney developmental effects of metal-herbicide mixtures: implications for chronic kidney disease of unknown etiology. Environ Int. 2020;144:106019.

    Article  CAS  Google Scholar 

  6. Groesbeck D, Köttgen A, Parekh R, Selvin E, Schwartz GJ, Coresh J, et al. Age, gender, and race effects on cystatin C levels in US adolescents. Clin J Am Soc Nephrol. 2008;3:1777–85.

    Article  CAS  Google Scholar 

  7. Madsen MG, Nørregaard R, Palmfeldt J, Olsen LH, Frøkiær J, Jørgensen TM. Urinary NGAL, cystatin C, β2-microglobulin, and osteopontin significance in hydronephrotic children. Pediatr Nephrol. 2012;27:2099–106.

    Article  Google Scholar 

  8. Laterza OF, Price CP, Scott MG. Cystatin C: an improved estimator of glomerular filtration rate? Clin Chem. 2002;48:699–707.

    Article  CAS  Google Scholar 

  9. Newman DJ, Thakkar H, Edwards RG, Wilkie M, White T, Grubb AO, et al. Serum cystatin C measured by automated immunoassay: a more sensitive marker of changes in GFR than serum creatinine. Kidney Int. 1995;47:312–8.

    Article  CAS  Google Scholar 

  10. Fan L, Levey AS, Gudnason V, Eiriksdottir G, Andresdottir MB, Gudmundsdottir H, et al. Comparing GFR estimating equations using cystatin C and creatinine in elderly individuals. J Am Soc Nephrol. 2015;26:1982–9.

    Article  CAS  Google Scholar 

  11. Gunasekara TDKSC, De Silva PMCS, Herath C, Siribaddana S, Siribaddana N, Jayasumana C, et al. The utility of novel renal biomarkers in assessment of chronic kidney disease of unknown etiology (CKDu): a review. Int J Environ Res Public Health. 2020;17:9522

  12. McWilliam SJ, Antoine DJ, Sabbisetti V, Pearce RE, Jorgensen AL, Lin Y, et al. Reference intervals for urinary renal injury biomarkers KIM-1 and NGAL in healthy children. Biomark Med. 2014;8:1189–97.

    Article  CAS  Google Scholar 

  13. U.S. Food and Drug Administration. List of qualified biomarkers. 2021. https://www.fda.gov/drugs/biomarker-qualification-program/list-qualified-biomarkers. Accessed 2 Oct 2021

  14. Mussap M, Plebani M. Biochemistry and clinical role of human cystatin C. Crit Rev Clin Lab Sci. 2004;41:467–550.

    Article  CAS  Google Scholar 

  15. Harmoinen A, Ylinen E, Ala-Houhala M, Janas M, Kaila M, Kouri T. Reference intervals for cystatin C in pre- and full-term infants and children. Pediatr Nephrol. 2000;15:105–8.

    Article  CAS  Google Scholar 

  16. Herget-Rosenthal S, Feldkamp T, Volbracht L, Kribben A. Measurement of urinary cystatin C by particle-enhanced nephelometric immunoassay: precision, interferences, stability and reference range. Ann Clin Biochem. 2004;41:111–8.

    Article  CAS  Google Scholar 

  17. Herget-Rosenthal S, van Wijk JAE, Bröcker-Preuss M, Bökenkamp A. Increased urinary cystatin C reflects structural and functional renal tubular impairment independent of glomerular filtration rate. Clin Biochem. 2007;40:946–51.

    Article  CAS  Google Scholar 

  18. Fellström B, Helmersson-Karlqvist J, Lind L, Soveri I, Thulin M, Ärnlöv J, et al. Strong associations between early tubular damage and urinary cytokine, chemokine, and growth factor levels in elderly males and females. J Interferon Cytokine Res. 2021;41:283–90.

    Article  Google Scholar 

  19. van Donge T, Welzel T, Atkinson A, van den Anker J, Pfister M. Age-dependent changes of kidney injury biomarkers in pediatrics. J Clin Pharmacol. 2019;59:S21-32.

    Article  Google Scholar 

  20. Hassan M, Hatata EZ, Al-Arman M, Aboelnaga MM. Urinary cystatin C as a biomarker of early renal dysfunction in type 2 diabetic patients. Diabetes Metab Syndr. 2021;15:102152.

    Article  Google Scholar 

  21. Park MY, Choi SJ, Kim JK, Hwang SD, Lee YW. Urinary cystatin C levels as a diagnostic and prognostic biomarker in patients with acute kidney injury. Nephrology (Carlton). 2013;18:256–62.

    Article  CAS  Google Scholar 

  22. Sato Y, Takahashi M, Yanagita M. Pathophysiology of AKI to CKD progression. Semin Nephrol. 2020;40:206–15.

    Article  CAS  Google Scholar 

  23. Bökenkamp A, Domanetzki M, Zinck R, Schumann G, Byrd D, Brodehl J. Cystatin C—a new marker of glomerular filtration rate in children independent of age and height. Pediatrics. 1998;101:875–81.

    Article  Google Scholar 

  24. Redmon JH, Levine KE, Lebov J, Harrington J, Kondash AJ. A comparative review: chronic kidney disease of unknown etiology (CKDu) research conducted in Latin America versus Asia. Environ Res. 2021;192:110270.

    Article  CAS  Google Scholar 

  25. Orantes-Navarro CM, Herrera-Valdés R, Almaguer-López MA, Brizuela-Díaz EG, Reed NPAMMA, Fuentes-de Morales EJ, et al. Chronic kidney disease in children and adolescents in Salvadoran farming communities: NefroSalva Pediatric Study (2009–2011). MEDICC Rev. 2016;18:15.

  26. Lozano-Kasten F, Sierra-Diaz E, de Jesus Celis-de la Rosa A, Margarita Soto Gutiérrez M, Aarón Peregrina Lucano A, Research Group on Social and Environmental Determinants in Childhood. Prevalence of albuminuria in children living in a rural agricultural and fishing subsistence community in Lake Chapala, Mexico. Int J Environ Res Public Health. 2017;14:1577.

    Article  Google Scholar 

  27. Wu D, Yang H, Luo J, Zhang G, Li S, Wang M, et al. Age- and gender-specific reference values for urine albumin/creatinine ratio in children of southwest China. Clin Chim Acta. 2014;431:239–43.

    Article  CAS  Google Scholar 

  28. Sueud T, Hadi NR, Abdulameer R, Jamil DA, Al-Aubaidy HA. Assessing urinary levels of IL-18, NGAL and albumin creatinine ratio in patients with diabetic nephropathy. Diabetes Metab Syndr. 2019;13:564–8.

    Article  Google Scholar 

  29. Takahashi S, Tanaka F, Yonekura Y, Tanno K, Ohsawa M, Sakata K, et al. The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. PLoS One. 2018;13: e0195013.

    Article  Google Scholar 

  30. Bellera CA, Hanley JA. A method is presented to plan the required sample size when estimating regression-based reference limits. J Clin Epidemiol. 2007;60:610–5.

    Article  Google Scholar 

  31. Lim JU, Lee JH, Kim JS, Hwang YI, Kim TH, Lim SY, et al. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. Int J Chron Obstruct Pulmon Dis. 2017;12:2465–75.

    Article  CAS  Google Scholar 

  32. Arya R, Antonisamy B, Kumar S. Sample size estimation in prevalence studies. Indian J Pediatr. 2012;79:1482–8.

    Article  Google Scholar 

  33. Henny J. The IFCC recommendations for determining reference intervals: strengths and limitations. J Lab Med. 2009;33:45–51.

    CAS  Google Scholar 

  34. van Donge T, Staub E, Atkinson A, Gotta V, van den Anker J, Risch L, et al. Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents. Clin Chem Lab Med. 2021;59:373–82.

    Article  Google Scholar 

  35. Bennett MR, Nehus E, Haffner C, Ma Q, Devarajan P. Pediatric reference ranges for acute kidney injury biomarkers. Pediatr Nephrol. 2015;30:677–85.

    Article  Google Scholar 

  36. Cai T, Karlaftis V, Hearps S, Matthews S, Burgess J, Monagle P, et al. Reference intervals for serum cystatin C in neonates and children 30 days to 18 years old. Pediatr Nephrol. 2020;35:1959–66.

    Article  Google Scholar 

  37. Marmarinos A, Garoufi A, Panagoulia A, Dimou S, Drakatos A, Paraskakis I, et al. Cystatin-C levels in healthy children and adolescents: influence of age, gender, body mass index and blood pressure. Clin Biochem. 2016;49:150–3.

    Article  CAS  Google Scholar 

  38. Daly CH, Liu X, Grey VL, Hamid JS. A systematic review of statistical methods used in constructing pediatric reference intervals. Clin Biochem. 2013;46:1220–7.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank all the participants children who participated in the study, parents, academic and nonacademic staff members of the schools, government authorities school principals, teachers, and parents for their valuable support.

Funding

This research was funded by the Accelerating Higher Education Expansion and Development (AHEAD) Operation of the Ministry of Higher Education funded by the World Bank (No. AHEAD DOR 02/40).

Author information

Authors and Affiliations

Authors

Contributions

SPMMA contributed to data curation, formal analysis, investigation, software, visualization, writing of the original draft, review and editing. DSPMCS contributed to conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, validation, review and editing. GTDKSC contributed to data curation, formal analysis, investigation, software, visualization, writing of the original draft, review and editing. GSD contributed to data curation, formal analysis, and investigation. PRAI contributed to data curation and investigation. HC, JSS and CEPS contributed to resources, supervision, validation, review and editing. JN contributed to conceptualization, project administration, resources, supervision, validation, review and editing.

Corresponding author

Correspondence to Pallage Mangala Chathura Surendra De Silva.

Ethics declarations

Ethical approval

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Review Committee of the Faculty of Medicine, University of Ruhuna (reference no: 2020.P.124; date: 29.01.2021). Informed consent to participate in the study have been obtained from the children and their parents.

Conflict of interest

No financial or non-financial benefits have been received or will be received from any party related directly or indirectly to the subject of this article. None of the authors was involved in the journal’s review of, or decisions related to, this manuscript. The authors have no conflict of interest to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sandamini, P.M.M.A., De Silva, P.M.C.S., Gunasekara, T.D.K.S.C. et al. Urinary cystatin C: pediatric reference intervals and comparative assessment as a biomarker of renal injury among children in the regions with high burden of CKDu in Sri Lanka. World J Pediatr 18, 196–205 (2022). https://doi.org/10.1007/s12519-022-00513-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12519-022-00513-9

Keywords

Navigation