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Effect of long-term frozen storage on stability of kappa free light chain index

  • Martin Schmidauer ORCID logo , Klaus Berek , Gabriel Bsteh , Michael Auer , Robert Barket ORCID logo , Franziska Di Pauli , Michaela Hassler , Dejan Milosajevic , Anne Zinganell , Janette Walde , Florian Deisenhammer and Harald Hegen EMAIL logo
Published/Copyright: May 8, 2025

Abstract

Objectives

To investigate whether frozen storage duration influences κ-FLC index.

Methods

CSF and serum samples of patients with multiple sclerosis collected for routine diagnostic purposes had been stored at −20 °C. κ-FLC and albumin concentrations were measured at two different timepoints, i.e. before and after storage. The κ-FLC index was calculated as (CSF κ-FLC/serum κ-FLC)/(CSF albumin/serum albumin).

Results

A total of 70 patients were included showing median CSF κ-FLC concentration of 0.25 (25th-75th percentile: 0.12–0.43) mg/dL, serum κ-FLC concentration of 1.05 (0.86–1.34) mg/dL, CSF albumin concentration of 17.7 (14.6–26.1) mg/dL and serum albumin concentration of 4230 (3898–4488) mg/dL. The κ-FLC index was 44 (25–108). With increasing frozen storage duration, the absolute concentrations of CSF κ-FLC, serum κ-FLC, CSF albumin and serum albumin decreased, while the κ-FLC index remained stable. The observed changes in absolute concentrations evened out by using CSF/serum ratios of κ-FLC and albumin when calculating the κ-FLC index.

Conclusions

Frozen storage at −20 °C has no relevant impact on κ-FLC index.

Introduction

Kappa free light chains (κ-FLC) in the cerebrospinal fluid (CSF) serve as a biomarker in neurology indicating the presence of an intrathecal immunoglobulin synthesis [1]. κ-FLC are produced by plasma cells in excess over heavy chains and, thus, are secreted along with intact immunoglobulins. Similar to immunoglobulins κ-FLC accumulate in the CSF in several inflammatory neurological diseases [1].

An increased κ-FLC index has been shown, e.g., in multiple sclerosis (MS), Lyme disease, HIV infection and autoimmune encephalitis [2], [3], [4], [5]. The κ-FLC index has been proposed as diagnostic marker for MS [6]. In contrast to oligoclonal bands (OCB), the previous gold standard to demonstrate an intrathecal immunoglobulin synthesis, determination of the κ-FLC index offers significant methodological advantages while maintaining similar diagnostic sensitivity and specificity [6], 7]. Determination of κ-FLC is a fast, cost-effective, widely available and rater-independent method. Furthermore, there is evidence in patients with early MS that the κ-FLC index as a quantitative marker predicts future disease activity. Higher κ-FLC index determined at the time of disease onset was associated with various outcome measures including shorter time to relapse [8], new MRI activity [9], disability accrual [10] as well as with shorter time to cognitive decline [11].

With an increasing amount of κ-FLC research and its use in clinical routine, there is a need to clarify pre-analytical aspects such as sample storage. While κ-FLC concentrations in serum have been shown to minimally change after frozen storage over a period of approximately one year [12], the effects of frozen storage duration on κ-FLC concentrations in the CSF as well as on the κ-FLC index are not known. This is why we performed the present study.

Materials and methods

Patients at the Department of Neurology of the Medical University of Innsbruck, in whom κ-FLC index was determined in previous research (cohort I [13], and cohort II [8]), considered as time point 1 (T1) with enough remaining CSF and serum volume for a second measurement after frozen storage at −20 °C (T2), were eligible for inclusion into the present study.

Initially, all CSF samples were collected by lumbar puncture (LP), and serum samples concomitantly within 30 minutes by venous puncture. All samples were centrifuged at 2000 g for 10 min at room temperature before storage [14].

Determination of albumin and kappa free light chains

At T1, albumin concentrations in CSF and serum had been determined by nephelometry (IMMAGE, Beckman Coulter GmbH, Brea, CA, USA) at the Neuroimmunology Laboratory, Department of Neurology, Medical University of Innsbruck for routine diagnostic purpose. κ-FLC concentrations in CSF and serum had been determined at the FH Campus Wien by nephelometry using the BN ProSpec and the N latex FLC kappa assay (Siemens, Erlangen, Germany) [8], 13].

At T2, both albumin and κ-FLC concentrations were determined in CSF and serum at the FH Campus Wien by nephelometry using the N albumin and N latex FLC kappa assay, respectively (Siemens, Erlangen, Germany) according to the manufacturers’ instructions [15], 16].

Calculation of the CSF/serum κ-FLC and albumin quotients and of the κ-FLC index

The CSF/serum albumin quotient (Qalb), the CSF/serum κ-FLC quotient (Qκ-FLC) and the κ-FLC index were calculated using following formulae:

(1) Q alb = Albumin CSF Albumin Serum
(2) Q κ FLC = κ FLC CSF κ FLC Serum
(3) κ FLC index = κ FLC CSF / κ FLC Serum Albumin CSF / Albumin Serum

Statistical analysis

Categorical variables were expressed as frequencies and percentages, and continuous variables as median and 25th, 75th percentile, as appropriate.

The percentage changes of the different variables (% Δ var), i.e. of albumin and κ-FLC concentrations in CSF and serum, as well as of the Qalb, the Qκ-FLC and the κ-FLC index, were calculated by

% Δ  var = var T 1 var T 2 var T 1 × 100

To evaluate the impact of frozen storage duration on % Δ var, linear regression analysis was used. For group comparisons (short vs. long-term storage), Wilcoxon test was applied.

The adjustment of albumin measurements (i.e., CSF albumin, serum albumin, Qalb) to the fixed frozen storage duration of 0.5 and 4.5 years (to make it comparable to the frozen storage duration of κ-FLC measurements) was done by using the slopes of the regression analyses.

A priori power analysis for the linear regression (and Wilcoxon test) gave a necessary sample size of 49 (62) considering a significance level 5 %, a power 90 % and an effect size of 2 (0.8). To determine the effect size in the regression analysis, a slope of 3 % was used, along with a standard deviation of 2 years for the frozen storage duration and a standard deviation of 14 for the percentage change in the variable (% Δ var). For the Wilcoxon test, the effect size was based on an assumed difference of 12 percentage points and a standard deviation of 14 percentage points. Two-sided p-values<0.05 were considered statistically significant. All analyses were done in R [17].

Ethics

The study was approved by the Ethics Committee of the Medical University of Innsbruck (approval number: 1050/2023). Written informed consent was obtained from all patients. We adhered to the declaration of Helsinki and national regulations during all study procedures.

Results

A total of 70 patients with a median age of 31 years (25th-75th percentile: 26–39) comprising 44 (63 %) females were included in the study.

Before frozen storage, i.e. at T1, median CSF κ-FLC concentration was 0.25 (25th-75th percentile: 0.12–0.43) mg/dL, serum κ-FLC concentration was 1.05 (0.86–1.34) mg/dL, CSF albumin concentration was 17.7 (14.6–26.1) mg/dL and serum albumin concentration was 4230 (3898–4488) mg/dL. The calculated Qκ-FLC was 0.22 (0.11–0.45) and Qalb was 4.2×10−3 (3.4×10−3−6.0×10−3). The κ-FLC index was 44 (25–108).

At T2, i.e. after frozen storage duration of 0.5 years (cohort I) as well as of 4.5 years (cohort II), CSF and serum κ-FLC concentrations were significantly decreased (Figure 1A and B, Supplementary Table 1). As the decrease was more pronounced in CSF than in serum, also the Qκ-FLC showed a slight decrease at T2 (Figure 1C, Supplementary Table 1). Similarly, CSF and serum albumin concentrations decreased with longer frozen storage duration (Figure 1D and E, Supplementary Figure S1A-B). Again, as the decrease of albumin in CSF was more pronounced than in serum, a decrease of Qalb with longer frozen storage duration was observed (Figure 1F, Supplementary Figure S1C).

Figure 1: 
Impact of frozen storage duration on κ-FLC and albumin in CSF and serum. Change in (A) CSF κ-FLC concentration, (B) serum κ-FLC concentration, (C) κ-FLC quotient, (D) CSF albumin concentration, (E) serum albumin concentration and (F) albumin quotient between the time points T1 and T2 are shown. CSF albumin, serum albumin and albumin quotient were adjusted to the fixed frozen storage duration of 0.5 and 4.5 years. CSF, cerebrospinal fluid; FLC, free light chain; p, p-value.
Figure 1:

Impact of frozen storage duration on κ-FLC and albumin in CSF and serum. Change in (A) CSF κ-FLC concentration, (B) serum κ-FLC concentration, (C) κ-FLC quotient, (D) CSF albumin concentration, (E) serum albumin concentration and (F) albumin quotient between the time points T1 and T2 are shown. CSF albumin, serum albumin and albumin quotient were adjusted to the fixed frozen storage duration of 0.5 and 4.5 years. CSF, cerebrospinal fluid; FLC, free light chain; p, p-value.

Altogether, the above-mentioned changes (i.e., decrease of Qκ-FLC as well as of Qalb) evened each other out when the κ-FLC index was calculated (i.e. Qκ-FLC/Qalb). The κ-FLC index showed similar values irrespective of frozen storage duration (Figure 2).

Figure 2: 
Impact of frozen storage duration on the κ-FLC index. Albumin quotient used for calculating the κ-FLC index (and its percentage change) was adjusted to the fixed frozen storage duration of 0.5 and 4.5 years. FLC, free light chain; p, p-value.
Figure 2:

Impact of frozen storage duration on the κ-FLC index. Albumin quotient used for calculating the κ-FLC index (and its percentage change) was adjusted to the fixed frozen storage duration of 0.5 and 4.5 years. FLC, free light chain; p, p-value.

Discussion

In the present study, we observed a decrease in the absolute concentrations of κ-FLC and albumin in CSF and serum with increasing frozen storage duration. However, the κ-FLC index remained stable.

Both CSF and serum κ-FLC concentrations were statistically significantly lower at T2 compared to T1, i.e. after a frozen storage duration of up to 4.5 years, with a more pronounced relative decrease in CSF than in serum leading also to a lower Qκ-FLC at T2. Similarly, albumin concentrations in both CSF and serum decreased with increased frozen storage duration, also with a larger relative reduction in CSF than serum resulting also in a lower Qalb at T2.

The observed decrease in serum κ-FLC concentrations aligns with findings from a previous study that reported a statistically significant reduction in serum κ-FLC concentrations after frozen storage of approximately one year (ranging between 193 and 568 days) at −20 °C [12]. With regard to long-term stability of κ-FLC in CSF, we provide evidence for the first time.

In contrast to a previous study which reported an increase of serum albumin at a rate of 0.5 % per year over a 25-year frozen storage duration, we observed a decrease at a rate of 1 % per year. This discrepancy might be explained by different detection methods. While we measured albumin by immunonephelometry, the authors of the above-mentioned study measured colorometrically by bromocresol green method. One might speculate that the reported increase is due to an unfolding of the protein due to freezing allowing more bromocresol green to be bound at the time of second measurement. This might explain a false-positive increase [18]. Another study reported that serum albumin in samples stored over different time periods remained stable. However, samples were drawn from different groups of individuals (matched by sex and age) at the different time points back in time, limiting its generalizability [19].

Why the relative decrease of κ-FLC and albumin concentrations is higher in the CSF than in serum is unknown. However, it explains why Qκ-FLC and Qalb decrease as well. The decrease in the CSF/serum quotients is already by far not that pronounced compared to the decrease of the absolute concentrations. Further, due to very similar decrease rate of Qκ-FLC and Qalb over time, their changes are evened out when the κ-FLC index is calculated. Accordingly, we did not observe a statistically significant change of the κ-FLC index due to frozen storage duration (Figure 2, Supplementary Figure S2).

There are several limitations of the present analysis. First, this was a retrospective study with all its inherent limitations due to this study design. We included samples that had been already used for κ-FLC measurements in previous research [8], 13] based on the availability of spare sample volume for another determination of κ-FLC index (after frozen storage). Therefore, an inclusion bias cannot be excluded, and we need to state that prospectively run studies are necessary to replicate our findings. Secondly, while κ-FLC concentrations were measured using the same method, albumin concentrations were determined using different platforms (even though both were nephelometry). However, an impact of different platforms would result in a different intercept in the regression analysis but would not explain a change in the slope. While a decrease in measurement is due to frozen storage duration (slope), an overall impact of the different platforms would result in time-independent level effects on the measurements (intercept). As the research question of the study addressed the slope, i.e. the impact of frozen storage duration on measurement, we are confident that the use of different platforms for albumin measurement had no impact on our findings. Thirdly, with regard to the observed decrease in absolute concentrations of κ-FLC and albumin over time, on might also speculate that this is due to changes in instrument performance over time (and not due to frozen storage). We provide evidence that instrument performance for both κ-FLC and albumin were stable over time (Supplementary Figure S3). Fourthly, frozen storage duration between each the two albumin measurements and the two κ-FLC measurements were different. While κ-FLC measurement was done for study purposes and thus at fixed time points (resulting in frozen storage duration of 0.5 and 4.5 years) [8], 13], the initial albumin measurements were done as part of clinical routine resulting in longer frozen storage duration (ranging from approximately 4 to 16 years). It cannot be excluded that albumin remained stable within the first years of frozen storage and decreased only thereafter. However, this scenario is very unlikely as changes have been reported already to occur within two years [19]. Finally, we would like to state that there were no additional freeze-thaw-cycles in our samples, and the temperature (−20 °C) of the freezer was stable over time (the temperature was monitored).

Overall, we provide evidence that κ-FLC index remains stable even after samples have been frozen for several years.


Corresponding author: Harald Hegen, PD, MD, PhD, Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria, E-mail:

  1. Research ethics: The study was approved by the Ethics Committee of the Medical University of Innsbruck (approval number: 1050/2023). Written informed consent was obtained from all patients. We adhered to the declaration of Helsinki and national regulations during all study procedures.

  2. Informed consent: Informed consent was obtained from all participants.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. MS: Drafting the manuscript, acquisition of data, interpretation of data. KB: Revision of the manuscript for content. GB: Revision of the manuscript for content. MA: Revision of the manuscript for content. RB: Revision of the manuscript for content. FDP: Revision of the manuscript for content. MH: Revision of the manuscript for content. DM: Revision of the manuscript for content. AZ: Revision of the manuscript for content. JW: Statistical analysis and interpretation of data, revision of the manuscript for content. FD: Revision of the manuscript for content. HH: Drafting the manuscript, study concept, statistical analysis and interpretation of data.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: Martin Schmidauer has participated in meetings sponsored by or received travel grants from Novartis, Sanofi-Genzyme, and Amgen. Klaus Berek has participated in meetings sponsored by and received travel funding or speaker honoraria from Roche, Teva, Merck, Biogen, Sanofi and Novartis. He is associate editor of Frontiers in Immunology / Neurology, Section Multiple Sclerosis and Neuroimmunology. Gabriel Bsteh has participated in meetings sponsored by, received speaker honoraria or travel funding from Biogen, Celgene/BMS, Janssen, Lilly, Medwhizz, Merck, Novartis, Roche, Sanofi-Genzyme, and Teva. He has received honoraria for consulting Adivo Associates, Biogen, Celgene/BMS, Janssen, Merck, Novartis, Roche, Sanofi-Genzyme, and Teva. He has received unrestricted research grants from Celgene/BMS and Novartis. He serves on the Executive Committee of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS). Michael Auer has received speaker honoraria and/or travel grants from Biogen, Merck, Novartis, and Sanofi Genzyme. Robert Barket has participated in meetings sponsored by or received travel grants from Novartis, Janssen-Cilag, and Sanofi-Genzyme. He has received honoraria from Janssen-Cilag and Biogen. Franziska Di Pauli has participated in meetings sponsored by, received honoraria (lectures, advisory boards, consultations), or travel funding from Bayer, Biogen, Celgene BMS, Merck, Novartis, Sanofi-Genzyme, Teva, and Roche. Her institution has received research grants from Roche. Michaela Hassler has nothing to disclose. Dejan Milosajevic has participated in meetings sponsored by Siemens. Anne Zinganell has participated in meetings sponsored by, received speaking honoraria or travel funding from Biogen, Merck, Novartis, Sanofi-Genzyme, Janssen, and Teva. Janette Walde has nothing to disclose. Florian Deisenhammer has participated in meetings sponsored by or received honoraria for acting as an advisor/speaker for Alexion, Almirall, Biogen, Celgene, Merck, Novartis, Roche, and Sanofi-Genzyme. His institution received scientific grants from Biogen and Sanofi-Genzyme. Harald Hegen has participated in meetings sponsored by, received speaker honoraria or travel funding from Bayer, Biogen, Bristol Myers Squibb, Horizon, Janssen, Merck, Novartis, Sanofi-Genzyme, Siemens, and Teva. He has received honoraria for acting as a consultant for Biogen, Bristol Myers Squibb, Novartis, Roche, Sanofi-Genzyme, and Teva.

  6. Research funding: None declared.

  7. Data availability: Data available on request from the authors.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2025-0125).


Received: 2025-02-03
Accepted: 2025-04-30
Published Online: 2025-05-08
Published in Print: 2025-08-26

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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