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Effect of multiple freeze-thaw cycles on selected biochemical serum components

  • Randi E. Gislefoss EMAIL logo , Marianne Lauritzen , Hilde Langseth and Lars Mørkrid
Published/Copyright: December 17, 2016

Abstract

Background:

To maintain the best performance a frozen serum sample should be thawed once to prevent repeated freeze-thaw cycles. Archival biobanks often have one tube of a sample available, causing repeated freeze-thaw cycles when the sample is used in multiple research projects. In this study, we investigated potential effects of freeze-thaw cycles on several biochemical components in serum.

Methods:

Serum from 40 fasting donors of both genders, aged 30–60 years, were frozen at –25 °C. Aliquots of the 40 different samples went through 1, 2, 3, 4, 5 and 10 thaws, respectively. They were analyzed after 3 month of storage for 15 serum components including electrolytes and metabolites, proteins and enzymes, lipids, hormones and vitamins. One-way analyses of variance (ANOVA) with repeated measurements and equivalence tests were used to examine differences in component levels.

Results:

Albumin, aspartate-aminotransferase (ASAT), cholesterol, creatinine, C-reactive protein, glucose, immunoglobulin G, potassium, testosterone, triglycerides, urea and vitamin B12 levels did not show significant difference for pairwise comparisons after 10 repeated thaws. Although albumin, ASAT, bilirubin, potassium, sodium, testosterone and thyroid stimulating hormone (TSH) showed overall statistically significant changes in serum levels, only bilirubin, sodium and TSH were significant for the pairwise comparisons investigated. Clinical significance were shown for albumin, ASAT, bilirubin, sodium and testosterone.

Conclusions:

Twelve components (albumin, ASAT, cholesterol, creatinine, C-reactive protein, glucose, immunoglobulin G, potassium, testosterone, triglycerides, urea and vitamin B12) were robust to 10 repeated thaws compared to baseline level. Three components (bilirubin, sodium and TSH) showed statistical significant difference for pairwise comparisons, however, TSH was not clinically affected.

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

  2. Research funding: The fond of Cancer Registry of Norway (Grant/Award Number: Norwegian Cancer Registry fund 2015).

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Mitchell BL, Yasui Y, Li CI, Fitzpatrick AL, Lampe PD. Impact of freeze-thaw cycles and storage time on plasma samples used in mass spectrometry based biomarker discovery projects. Cancer Inform 2005;1:98–104.10.1177/117693510500100110Search in Google Scholar

2. Sonntag O. Haemolysis as an interference factor in clinical chemistry. J Clin Chem Clin Biochem 1986;24:127–39.Search in Google Scholar

3. IBM Corp. Released 2010. IBM SPSS Statistics for Windows VA, NY: IBM Corp.Search in Google Scholar

4. Wellek S. Testing statistical hypotheses of equivalence and noninferiority, 2nd ed. New York, USA: Chapman and Hall/CRC, 2010:355.10.1201/EBK1439808184Search in Google Scholar

5. Kale VP, Patel SG, Gunjal PS, Wakchaure SU, Sundar RS, Ranvir RK, et al. Effect of repeated freezing and thawing on 18 clinical chemistry analytes in rat serum. J Am Assoc Lab Anim Sci 2012;51:475–8.Search in Google Scholar

6. Flood A, Pfeiffer R, Mai V, Remaley A, Lanza E, Schatzkin A. The effects of freeze-thaw cycles on serum measurement of insulin and glucose in epidemiologic studies. Ann Epidemiol 2002;12:528.10.1016/S1047-2797(02)00391-5Search in Google Scholar

7. Cuhadar S, Koseoglu M, Atay A, Dirican A. The effect of storage time and freeze-thaw cycles on the stability of serum samples. Biochem Med (Zagreb) 2013;23:70–7.10.11613/BM.2013.009Search in Google Scholar

8. Castro AR, Jost HA. Effect of multiple freeze and thaw cycles on the sensitivity of IgG and IgM immunoglobulins in the sera of patients with syphilis. Sex Transm Dis 2013;40:870–1.10.1097/OLQ.0000000000000036Search in Google Scholar

9. Comstock GW, Burke AE, Norkus EP, Gordon GB, Hoffman SC, Helzlsouer KJ. Effects of repeated freeze-thaw cycles on concentrations of cholesterol, micronutrients, and hormones in human plasma and serum. Clin Chem 2001;47:139–42.10.1093/clinchem/47.1.139Search in Google Scholar

10. Paltiel L, Ronningen KS, Meltzer HM, Baker SV, Hoppin JA. Evaluation of freeze thaw cycles on stored plasma in the biobank of the Norwegian mother and child cohort study. Cell Preserv Technol 2008;6:223–30.10.1089/cpt.2008.0012Search in Google Scholar

11. Bauman JE. Stability of radioimmunoassayable steroid and protein hormones after repeated freeze-thaw cycles. Clin Chem 1982;28:2336–7.10.1093/clinchem/28.11.2336Search in Google Scholar

12. Hsing AW, Comstock GW, Polk BF. Effect of repeated freezing and thawing on vitamins and hormones in serum. Clin Chem 1989;35:2145.10.1093/clinchem/35.10.2145Search in Google Scholar

13. Livesey JH, Hodgkinson SC, Roud HR, Donald RA. Effect of time, temperature and freezing on the stability of immunoreactive LH, FSH, TSH, growth hormone, prolactin and insulin in plasma. Clin Biochem 1980;13:151–5.10.1016/S0009-9120(80)91040-1Search in Google Scholar

14. Jee P, Fernandez L, Perkins SL, Brooks SP. Effect of storage and repeated freeze/thaw on (S) vitamin B12. Clin Biochem 2014;47:344.10.1016/j.clinbiochem.2014.09.011Search in Google Scholar PubMed

15. Thiers RE, Wu GT, Reed AH, Oliver LK. Sample stability: a suggested definition and method of determination. Clin Chem 1976;22:176–83.10.1093/clinchem/22.2.176Search in Google Scholar

16. Ricos C, Alvarez V, Cava F, Garcia-Lario JV, Hernandez A, Jimenez CV, et al. Desirable specifications for total error, imprecision and bias, derived from intra- and inter-individual biologic variation. In: Available at: https://www.westgard.com/biodatabase1.htm. Accessed: 2014.Search in Google Scholar

17. Rundle AG, Vineis P, Ahsan H. Design options for molecular epidemiology research within cohort studies. Cancer Epidemiol Biomarkers Prev 2005;14:1899–907.10.1158/1055-9965.EPI-04-0860Search in Google Scholar PubMed

Received: 2016-10-6
Accepted: 2016-11-1
Published Online: 2016-12-17
Published in Print: 2017-6-27

©2017 Walter de Gruyter GmbH, Berlin/Boston

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