Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter September 19, 2022

Determination of pediatric reference limits for 10 commonly measured autoantibodies

  • Lusia Sepiashvili EMAIL logo , Mary Kathryn Bohn , Alexandra Hall , Tina Henderson , Jack Chen , Roseline Dunst and Khosrow Adeli

Abstract

Objectives

The objective of this study was to establish pediatric reference limits for autoimmune disease markers in the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort of healthy children and adolescents to support their interpretation and clinical decision making. The CALIPER is a national study of healthy children aiming to close gaps in pediatric laboratory medicine by establishing a robust database of pediatric reference intervals for pediatric disease biomarkers (caliperdatabase.org).

Methods

Healthy children and adolescents (n=123, aged 1–19) were recruited to CALIPER with informed consent. Serum autoantibody testing conducted on the BIO-FLASH analyzer (Werfen, Barcelona, Spain) included anti-dsDNA IgG, anti-Sm IgG, anti-RNP IgG, anti-SSB/La IgG, anti-Ro60 IgG, anti-Ro52 IgG, anti-cardiolipin IgG, anti-MPO IgG, anti-PR3 IgG, and anti-tTG IgA. Pediatric reference limits representing 95th, 97.5th, and 99th percentiles were calculated using the non-parametric rank method according to Clinical Laboratory Standards Institute C28-A3 guidelines.

Results

The proportion of samples with results above the lower limit of the analytical measuring range were: anti-cardiolipin IgG 90%, anti-dsDNA 22%, anti-Sm 13%, anti-RNP 0.8%, anti-SSB/La 0%, anti-Ro60 0%, anti-Ro52 0%, anti-MPO 25%, anti-PR3 9%, and anti-tTG IgA 28%. Pediatric reference limits and associated 90% confidence intervals were established for all 10 markers. All autoantibodies could be described by one age range except for anti-cardiolipin IgG and anti-MPO. A sex-specific difference was identified for anti-tTG IgA.

Conclusions

Robust pediatric reference limits for 10 commonly clinically utilized autoimmune markers established herein will allow for improved laboratory assessment and clinical decision making in pediatric patients using the BIO-FLASH assay platform worldwide.


Corresponding author: Dr. Lusia Sepiashvili, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, 555 University Ave, rm 3652, Toronto, ON, Canada M5G 1X8; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; and Molecular Medicine, SickKids Research Institute, Toronto, ON, Canada, Phone: 416-813-6817, Fax: 416-813-6257, E-mail:

Funding source: Canadian Institutes for Health Research Foundation Grant

Award Identifier / Grant number: 353989

Acknowledgments

We sincerely thank all the participants, and their families as well as the CALIPER volunteers whose dedication and work made this study possible. We wish to thank Werfen Autoimmunity for supporting this work by providing assay reagents.

  1. Research funding: This work was supported by the Canadian Institutes for Health Research Foundation Grant #353989. Werfen Autoimmunity (Barcelona, Spain) provided all study reagents.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: This study was approved by the Research Ethics Board at the Hospital for Sick Children, Toronto, Canada.

References

1. Aggarwal, A. Role of autoantibody testing. Best Pract Res Clin Rheumatol 2014;28:907–20. https://doi.org/10.1016/j.berh.2015.04.010.Search in Google Scholar PubMed

2. Olsen, NJ, Choi, MY, Fritzler, MJ. Emerging technologies in autoantibody testing for rheumatic diseases. Arthritis Res Ther 2017;19:1–10. https://doi.org/10.1186/s13075-017-1380-3.Search in Google Scholar PubMed PubMed Central

3. Cinquanta, L, Fontana, DE, Bizzaro, N. Chemiluminescent immunoassay technology: what does it change in autoantibody detection? Autoimmun Highlights 2017;8:9. https://doi.org/10.1007/s13317-017-0097-2.Search in Google Scholar PubMed PubMed Central

4. Monogioudi, E, Martos, G, Hutu, DP, Schimmel, H, Meroni, PL, Sheldon, J, et al.. Standardization of autoimmune testing – is it feasible? Clin Chem Lab Med 2018;56:1734–42. https://doi.org/10.1515/cclm-2017-1077.Search in Google Scholar PubMed

5. Bevilacqua, V, Chan, MK, Chen, Y, Armbruster, D, Schodin, B, Adeli, K. Pediatric population reference value distributions for cancer biomarkers and covariate-stratified reference intervals in the CALIPER cohort. Clin Chem 2014;60:1532–42. https://doi.org/10.1373/clinchem.2014.229799.Search in Google Scholar PubMed

6. Kelly, J, Raizman, JE, Bevilacqua, V, Chan, MK, Chen, Y, Quinn, F, et al.. Complex reference value distributions and partitioned reference intervals across the pediatric age range for 14 specialized biochemical markers in the CALIPER cohort of healthy community children and adolescents. Clin Chim Acta 2015;450:196–202. https://doi.org/10.1016/j.cca.2015.08.020.Search in Google Scholar PubMed

7. Adeli, K, Higgins, V, Trajcevski, K, White-Al Habeeb, N. The Canadian laboratory initiative on pediatric reference intervals: a CALIPER white paper. Crit Rev Clin Lab Sci 2017;54:358–413.10.1080/10408363.2017.1379945Search in Google Scholar PubMed

8. EP28-A3c: Defining, establishing, and verifying reference intervals in the clinical laboratory; Approved Guideline—Third Edition. Clinical and Laboratory Standards Institute; 2008:28 p.Search in Google Scholar

9. Harris, EK, Boyd, JC. On dividing reference data into subgroups to produce separate reference ranges. Clin Chem 1990;36:265–70. https://doi.org/10.1093/clinchem/36.2.265.Search in Google Scholar

10. Reed, AH, Henry, RJ, Mason, WB. Influence of statistical method used on the resulting estimate of normal range. Clin Chem 1971;17:275–84. https://doi.org/10.1093/clinchem/17.4.275.Search in Google Scholar

11. Bentow, C, Lakos, G, Martis, P, Wahl, E, Garcia, M, Viñas, O, et al.. International multi-center evaluation of a novel chemiluminescence assay for the detection of anti-dsDNA antibodies. Lupus 2016;25:864–72. https://doi.org/10.1177/0961203316640917.Search in Google Scholar PubMed

12. Devreese, KMJ, Ortel, TL, Pengo, V, de Laat, B. Subcommittee on lupus anticoagulant/antiphospholipid antibodies. Laboratory criteria for antiphospholipid syndrome: communication from the SSC of the ISTH. J Thromb Haemostasis 2018;16:809–13. https://doi.org/10.1111/jth.13976.Search in Google Scholar PubMed

13. Soybilgic, A, Avcin, T. Pediatric APS: state of the art. Curr Rheumatol Rep 2020;22:9. https://doi.org/10.1007/s11926-020-0887-9.Search in Google Scholar PubMed

14. Descloux, E, Durieu, I, Cochat, P, Vital Durand, D, Ninet, J, Fabien, N, et al.. Paediatric systemic lupus erythematosus: prognostic impact of antiphospholipid antibodies. Rheumatology 2008;47:183–7. https://doi.org/10.1093/rheumatology/kem335.Search in Google Scholar PubMed

15. Seaman, DE, Londino, AVJ, Kwoh, CK, Medsger, TAJ, Manzi, S. Antiphospholipid antibodies in pediatric systemic lupus erythematosus. Pediatrics 1995;96:1040–5. https://doi.org/10.1542/peds.96.6.1040.Search in Google Scholar

16. Avcin, T, Ambrozic, A, Kuhar, M, Kveder, T, Rozman, B. Anticardiolipin and anti-beta(2) glycoprotein I antibodies in sera of 61 apparently healthy children at regular preventive visits. Rheumatology 2001;40:565–73. https://doi.org/10.1093/rheumatology/40.5.565.Search in Google Scholar PubMed

17. Montaruli, B, De Luna, E, Mengozzi, G, Molinari, F, Napolitano, E, Napoli, P, et al.. Anti-cardiolipin and anti-β2-glycoprotein I antibodies: normal reference ranges in northwestern Italy. Lupus 2012;21:799–801. https://doi.org/10.1177/0961203312442260.Search in Google Scholar PubMed

18. Uribe, AG, Huber, AM, Kim, S, O’Neil, KM, Wahezi, DM, Abramson, L, et al.. Increased sensitivity of the European Medicines Agency algorithm for classification of childhood granulomatosis with polyangiitis. J Rheumatol 2012;39:1687–97. https://doi.org/10.3899/jrheum.111352.Search in Google Scholar PubMed

19. Jariwala, MP, Laxer, RM. Primary vasculitis in childhood: GPA and MPA in childhood. Front Pediatr 2018;6:226. https://doi.org/10.3389/fped.2018.00226.Search in Google Scholar PubMed PubMed Central

20. Watts, R, Lane, S, Hanslik, T, Hauser, T, Hellmich, B, Koldingsnes, W, et al.. Development and validation of a consensus methodology for the classification of the ANCA-associated vasculitides and polyarteritis nodosa for epidemiological studies. Ann Rheum Dis 2007;66:222–7. https://doi.org/10.1136/ard.2006.054593.Search in Google Scholar PubMed PubMed Central

21. Moiseev, S, Cohen Tervaert, JW, Arimura, Y, Bogdanos, DP, Csernok, E, Damoiseaux, J, et al.. 2020 international consensus on ANCA testing beyond systemic vasculitis. Autoimmun Rev 2020;19:102618. https://doi.org/10.1016/j.autrev.2020.102618.Search in Google Scholar PubMed

22. Husby, S, Koletzko, S, Korponay-Szabó, I, Kurppa, K, Mearin, ML, Ribes-Koninckx, C, et al.. European Society Paediatric Gastroenterology, Hepatology and Nutrition Guidelines for Diagnosing Coeliac Disease 2020. J Pediatr Gastroenterol Nutr 2020;70:141–56. https://doi.org/10.1097/mpg.0000000000002497.Search in Google Scholar PubMed

23. Previtali, G, Licini, L, D’Antiga, L, Marseglia, A, Ravasio, R, Nembrini, F, et al.. Celiac disease diagnosis without biopsy: is a 10× ULN antitransglutaminase result suitable for a chemiluminescence method? J Pediatr Gastroenterol Nutr 2018;66:645–50. https://doi.org/10.1097/mpg.0000000000001773.Search in Google Scholar PubMed

24. Werkstetter, KJ, Korponay-Szabó, IR, Popp, A, Villanacci, V, Salemme, M, Heilig, G, et al.. Accuracy in diagnosis of celiac disease without biopsies in clinical practice. Gastroenterology 2017;153:924–35. https://doi.org/10.1053/j.gastro.2017.06.002.Search in Google Scholar PubMed

25. Piram, M, Maldini, C, Mahr, A. Effect of race/ethnicity on risk, presentation and course of connective tissue diseases and primary systemic vasculitides. Curr Opin Rheumatol 2012;24:193–200. https://doi.org/10.1097/bor.0b013e32835059e5.Search in Google Scholar PubMed

26. Hiraki, LT, Benseler, SM, Tyrrell, PN, Harvey, E, Hebert, D, Silverman, ED. Ethnic differences in pediatric systemic lupus erythematosus. J Rheumatol 2009;36:2539–46. https://doi.org/10.3899/jrheum.081141.Search in Google Scholar PubMed

27. Pearce, FA, Craven, A, Merkel, PA, Luqmani, RA, Watts, RA. Global ethnic and geographic differences in the clinical presentations of anti-neutrophil cytoplasm antibody-associated vasculitis. Rheumatology 2017;56:1962–9. https://doi.org/10.1093/rheumatology/kex293.Search in Google Scholar PubMed


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2022-0675).


Received: 2022-07-12
Accepted: 2022-08-30
Published Online: 2022-09-19
Published in Print: 2022-10-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 19.4.2024 from https://www.degruyter.com/document/doi/10.1515/cclm-2022-0675/html
Scroll to top button