Immunoassays for free light chain measurement
From Wikilite
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SECTION 1 - Immunoglobulin free light chains and their analysis |
| Immunoassays for free light chain measurement |
| Summary: Free light chain immunoassays have the following features: |
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4.1. Introduction
There are numerous assays for monoclonal FLCs in urine (Table 4.1). Some, such as protein precipitation, are simple screening tests but are insensitive and non-specific, while others such as IFE are more sensitive but laborious and may be difficult to interpret.
| Advantages | Disadvantages | |
|---|---|---|
| Total urine protein | Simple, inexpensive, widely used | Sensitivity inadequate for free light chain detection |
| Urine dipsticks | Simple, inexpensive, widely used | Sensitivity inadequate for free light chain detection[1][2] |
| Serum protein electrophoresis | Simple manual/semi-autmated method
Well established, inexpensive
Monoclonal bands visualised
| Insensitive(<500-2,000mg/L). Cannot detect free light chains at low concentrations
Subjective interpretation of results
Quantitive results with scanning
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| Urine protein electrophoresis | Simple manual/semi-automated method
Well established, inexpensive
Monoclonal bands visualised
Sensitive in concentrated urine (<10mg/L)
Quantitive results with scanning
| Subjective interpretation of results
Heavy proteinuria obscures results
Cumbersome 24-hour urine collections [9]
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| Immunofixation electrophoresis on serum and urine | Well established
Good sensitivity for serum very sensitive for concentrated urine (5-30mg/L)
| Non-quantitive
Serum sensitivity (~150mg/L) inadequate for normal serum FLC levels
Manual/semi-automated technique
Expensive use of antisera
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| Capilliary zone electrophoresis | Automated technology
Quantive
| Less sensitive (~400mg/L) than immunofixation electrophoresis for serum FLCs [10][11][12][13] |
| Total serum κ/λ assays | Automated immunoassay | Specifity inadequate for detecting many patients with light chain monoclonal gammopathies[14]. |
Based upon these requirements, some commonly used tests for FLCs are analysed in Table 4.1. Each assay has features that are satisfactory, to some degree or other, but all fail to detect FLCs in serum at concentrations within the normal range (3-25mg/L); or even at concentrations that are several times higher than the normal range. Dipstick assays, based upon dye uptake, are particularly unreliable for measuring cationic proteins such as FLCs and should not be used.
| An ideal test for FLCs would have the following characteristics:- |
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One modern solution to the problems of inadequate assay specificity and sensitivity is to use antibody-based methods. The following chapter describes the development of serum FLC immunoassays and their validation on a variety of laboratory analysers.
4.2. Immunoassays for free light chains
A. Polyclonal antisera versus monoclonal antibodies
It is essential that FLC antibodies have high specificity and affinity. Early FLC immunoassays (Chapter 5) used polyclonal antisera but good specificity was difficult to obtain. Monoclonal antibodies (Mabs) seemed to be the obvious solution to the problem. However, considerable effort by my colleagues in the Immunology Department at The University of Birmingham, failed to produce antibodies that reliably recognised a full range of monoclonal FLCs. Other reported Mabs have also failed to have clinical impact, possibly for similar reasons. Furthermore, Mabs cannot be used in nephelometric or turbidimetric assays because they do not form immunoprecipitates, so enzyme immunoassays (or similar types) are required. These 3-stage assays need high serum dilutions and take considerable time to perform. Hence, they do not readily form part of routine clinical testing alongside immunoglobulin assays.
To be practical, we therefore focussed on optimising polyclonal FLC antisera. The following description is an outline of the successful procedures involved in their development. Details of the many steps are proprietry and are not available. However, in summary, sheep were immunised with κ or λ molecules that had been purified from urines containing Bence Jones proteins. The resultant antisera were adsorbed against purified IgG, A and M monoclonal proteins and then affinity purified against mixtures of the respective FLCs that had been immobilised onto Sepharose. Antisera requiring further adsorption, as judged by the tests described below, were recycled through the adsorption and testing procedures until satisfactory.
B. Antisera specificity
Specificity is the most important aspect of the immunoassays and was evaluated using several techniques.
1. Immunoelectrophoresis
The antibodies were purified until they showed no cross-reactions by immunoelectrophoresis with the alternate FLC and intact immunoglobulin molecules (Figure 4.1).
2. Western blot analysis
This sensitive technique was used to assess the reactivity of the antisera against immunoglobulin fragments and FLC polymers. The results showed that both κ and λ FLC antisera reacted strongly with two closely migrating bands at 25-30kDa and weakly with several larger and smaller molecular weight fragments. Similar staining patterns were observed using monoclonal antibodies. The FLC antisera were readily able to detect monomers and dimers of both κ and λ molecules (Figure 4.2).
3. Haemagglutination assays
These assays are far more sensitive than immunoelectrophoresis and provide better assessment of specificity. Sheep red blood cells were sensitised with individual FLCs, and purified IgG, IgA and IgM and tested against the FLC antisera. The results showed that κ and λ FLC antibodies reacted with the appropriately labelled cells at >1:16,000 dilution and at <1:2 against cells coated with the alternate FLCs or intact immunoglobulins (Figure 4.3).
4. Nephelometry
Latex-conjugated FLC antisera were tested for specificity by nephelometry. Potentially interfering substances were added to serum containing known concentrations of FLCs and the changes in values indicated the effect on the assays (Figure 4.4). Overall, the specificity assessments showed that FLC antisera had minimal reactivitywith light chains on intact immunoglobulins and other potentially interfering substances (0.2-0.01%). These values are within the purity specification for FLC contamination in the tested interfering materials.
There have been no independent specificity analyses of the nephelometric Freelite latex reagents. Nakano et al.[15], reported an evaluation but, in error, only tested FLC antisera that were manufactured for IFE, where specificity requirements are less demanding [16].
C. Accuracy and standardisation
Accuracy is defined as the closeness of achieved results compared with their absolute values. Unfortunately, international standards do not exist for FLC measurements, so there are no reference points from which to assess the accuracy of results. Furthermore, each monoclonal light chain is unique, with its own special set of surface epitopes, so accurate measurements are difficult to obtain. Nevertheless, the light chain constant region domains have little structural variability, so they are good antibody targets.
In order to ensure accurate FLC immunoassays, a suitable basis for standardisation and calibration was required. It was considered that polyclonal FLCs should be used in order to minimise any potential problems that might arise from the use of unique monoclonal proteins [17].
This was achieved in the following manner (Figure 4.5):-
1. Production and accurate quantification of pure polyclonal, “primary” FLC standards.
2. Production of secondary and “working” reference materials. Comparison with the primary standards.
3. Production of calibration materials for use in the FLC assays that were referenced against the “working” standards.
4. Analysis of a variety of normal and abnormal samples using a reference nephelometric method.
5. Comparison of results from other instruments with the reference method.
The various materials were manufactured and purified in accordance with established procedures [18]. Each primary FLC preparation was found to be greater than 99% pure by silver-stained SDS-PAGE while the alternate FLC was not detected by haemagglutination inhibition and dot blot assays. The amino acid content of each primary standard was then determined in order to produce an accurate estimation of the protein content.
Secondary reference materials were prepared from pools of different monoclonal κ and λ proteins. These were not considered ideal for use as working calibrators, so additional reference materials were prepared from sera that contained elevated polyclonal FLCs (Figure 4.5).
The pure FLC preparations were used to assign κ and λ concentrations to the secondary reference preparations. Subsequently, κ and λ values were assigned to the serum pool by nephelometry. Each stage of the value transfer was completed at three dilutions and repeated three times. All protein preparations were stabilised and stored at -80°C until required. The final FLC values for the “working” reference preparations were 46mg/L for κ and 71.4mg/L for λ. These calibration values were used for all subsequent laboratory and clinical studies.
An alternative reference material based upon polyclonal FLCs extracted from urine has been proposed [15]. However, serum FLCs may differ chemically from urine FLCs and concentration measurements in the latter study were based upon inappropriate dye uptake comparisons with albumin rather than amino acid analysis. As yet, these two preparations have not been compared. Clearly, there is need for international agreement on standardisation with wide availability of a reference material.
D. Assay sensitivity
Assay sensitivity (the lowest limit of antigen detection) is somewhat dependent upon the types of sample measured. FLC assays can detect less than 0.1mg/L of κ and λ FLCs in undiluted, clear urines and CSF. Serum sensitivity is typically 5-fold worse because of interference from lipids and other light-scattering particles (Table 4.2 and Chapter 6). Concentrations at 1-2mg/L are below the normal serum range so the FLC immunoassays allow extreme κ/λ concentration ratios to be established with considerable accuracy. This is important for monitoring patients under treatment because FLC concentrations may be below the normal range. Additional sensitivity for urine and CSF measurements (Chapter 22) can be obtained by adjusting concentrations of the reactants.
| Kappa | Lambda | Diagnostic requirement | |
|---|---|---|---|
| SPE | 500-2,000mg/L | 500-2,000mg/L | monoclonal band |
| IFE | 150-500mg/L | 150-500mg/L | monoclonal band |
| Free light chains | 1.5mg/L | 3.0mg/L | abnormal κ/λ ratio |
Table 4.2. Representative routine sensitivity levels of frequently used FLC assays.
E. Assay ranges
The measuring ranges of the FLC assays are dependent upon two factors: the slope of the respective calibration curve and the portion selected for the assay (Figures 4.6 and 4.7). The latter should be chosen to allow the maximum number of normal and abnormal clinical samples to be measured at the initial sample dilution. A typical analytical range for κ is 3-150 mg/L and for λ, 5-200 mg/L (Chapter 27). Samples containing higher concentrations require further dilution (see Antigen excess, below).
Patients with bone marrow suppression may have low concentrations of the alternate FLC, where the precision of the calibration curves is relatively poor. Consequently, some consideration should be given to the accuracy of κ/λ ratios that include low FLC concentrations.
F. Antigen excess
Antigen excess causes immunoassays to underestimate very high concentrations of protein (Figure 4.8). Some instruments will identify antigen excess situations and recommend sample redilution. In the case of FLC measurements, sample concentrations can range from <1mg/L to >100,000mg/L. This is a greater range than almost any other serum protein test. Consequently, very high levels may be under-estimated on some instruments because of antigen excess. Historically, it was suggested, although incorrectly, that this problem precluded accurate FLC measurements [19].
Antigen excess is an important issue. During the development of the FLC assays on the Behring BNII analyser, results indicated linear quantification at up to 200 mg/L with antigen excess at higher levels (Figure 4.9). Subsequently, monoclonal FLCs from 304 patients were assessed. At a 1:20 serum dilution, 6 high samples were incorrectly identified as moderately elevated and a further two were identified as normal. When the samples were tested at a dilution of 1:100, all of the 8 troublesome samples were correctly identified as highly elevated. Later assays were modified to use a starting serum dilution of 1:100 [20].
Larger sample studies on the BNII have determined the incidence of antigen excess more accurately. Clark RJ. et al.[21], at the Mayo Clinic, studied 7,538 consecutive samples over a 4 month period using 1:100 and 1:400 sample dilutions. There were 9 samples with κ antigen excess but no samples with λ antigen excess giving an incidence of 1/840 (0.12%). Of importance, all the κ and λ samples had elevated FLC concentrations or abnormal κ/λ ratios at the initial dilution of 1/100.
Hence, a simple policy of retesting any sera that have abnormal levels, at a higher dilution, identifies all antigen excess samples [21][22][23]. These recommendations will be included in the manufacturer’s instructions for the sFLC assays on the BNII and other instruments. However, samples with large FLC structural variations could theoretically still be problematical and show antigen excess at fairly low concentrations (see Amyloid disease, Chapter 15).
G. Precision
The precision of the sFLC assays is good, with percentage coefficients of variation typically less than 8%. However, samples measured at low concentrations, the use of poorly maintained instruments, and operation by inexperienced staff will produce worse precision data. Results from the manufacturer are produced by expert staff under ideal conditions so that minor variations between production batches can be identified and corrected. Similar results are achievable in busy, routine laboratories. If they are less good, it is appropriate to seek assistance so that the causes can be identified. Some results of precision studies assessed at different parts of the measuring ranges are shown in Table 4.4. Further details are available for individual instruments in Chapter 27.
Some years after the introduction of the FLC assay it became apparent that samples with results just outside the lower and upper ends of the instrument ranges were slightly lower and higher respectively, when repeated at the new dilutions. This is due to an uncharacterised substance(s) that “interferes” with the latex assays. Since the concentrations of the interfering substance are different at the second dilution, the results are altered. This gives a “gap” in results of 2-3mg/L at the lower end of the curve (at 4-7mg/L) and 8-9mg/L at the upper end of the curve (at 62-70mg/L) on, for example, the Roche Modular P (Figures 4.10 and 4.11).
In order to reduce the frequency of samples falling at the ends of the curves, the assay ranges will be extended downwards and upwards so that fewer normal samples require re-dilution. This has improved the precision of results at this borderline region of the analytical range.
H. Linearity
Assays are considered to be linear when the results obtained from measurement of a sample at a series of dilutions are equivalent to the results expected from the original measurement. Non-linearity is due to a number of factors including: poor antibody specificity; inability of the antibody to recognise different forms of the antigen; nonspecific assay interference from lipids or fibrin; unsuitable materials for the calibrators or standards etc. Assessment of linearity forms an important part of immunoassay development.
FLC assays are potentially prone to non-linearity. Light chains are monoclonal proteins which exist as a number of sub-groups, in polymeric forms and contain unique combinations of hypervariable regions. Inevitably, these features cause non-linearity in some samples. Examples of good linearity are shown in Figure 4.12.
I. Free light chain polymerisation
FLC molecules are usually monomers or dimers but higher polymeric forms frequently occur [24][25][26][27][28][29][30]. They act as multi-antigenic targets in mmunoprecipitation assays which accelerates the formation of aggregates and leads to over-estimation of antigen concentrations. This occurs in patients with NSMM who have undetectable concentrations of serum FLCs by IFE but high concentrations by nephelometry (Chapter 9) . Sölling [31][32] indicated that with his assays, monomers and dimers were detected equally using antibodies against whole light chains, but antibodies directed only against FLC epitopes may preferentially detect dimers [29].
In order to determine the effect of polymerisation on FLC quantification, FLC monomers, dimers and polymers were purified from myeloma sera and concentrations compared with total protein measurements. It was apparent that purified dimers were over-estimated by 1.5-fold and higher polymers by 1.5 to 3.5-fold [33]. However, in a study by Émond et al.[30], a greater than 7-fold over-estimation was observed in two samples (when compared with CZE) in association with polymers of up to 200kDa.
An additional factor is that SPE tests can underestimate FLC concentrations. Variable polymerisation may cause “smearing” of monoclonal bands on the gels so that only a proportion of the monoclonal protein is measured (Figure 9.2). FLCs also take up less protein stain than albumin so their concentration is underestimated [2]. It is likely that a combination of these factors causes the ten-fold or more over-estimations seen in the sera of some patients.
Whatever the explanation for the unexpected high results, it will be difficult to develop FLC assays that measure all molecular forms equally. Perfect quantification will be elusive.
J. Stability
FLC molecules are very stable in serum and urine (Figure 4.13). Tencer et al. [34][35] , showed that there was little variation in the concentrations of FLCs in samples stored at -20°C over a two year period. We have found similar concentrations of FLCs in both fresh and old normal sera stored for 20 years at -20°C. Clearly, these results indicate that FLCs do not dissociate from intact immunoglobulins, or fragment, over prolonged periods.
Stability of the FLC antisera is also important. “Open-vial stability” refers to the shelf-life of the antisera after their first use. This may be short because pipetting procedures can introduce FLC molecules into the vials that react with the remaining antisera and reduce its activity. Care should be taken not to contaminate antisera vials with sera from previously pipetted samples.
K. Serum and plasma comparisons for free light chain assays
Some laboratories prefer to analyse blood proteins in plasma rather than sera. A study was performed to directly compare the concentrations of FLCs in plasma and serum. 50 paired serum and plasma samples from blood donors and 20 paired samples from patients with MM were studied on a Beckman Immage, a BNII and a Hitachi 911. Plasma samples were collected in acid citrate dextrose or heparin and the sera were prepared by adding fibrin. Table 4.3 and Figure 4.14 show comparison data obtained on different instruments [36].
| IMMAGE | BNII | Hitachi 911 | ||||
|---|---|---|---|---|---|---|
| Kappa FLC | Lambda FLC | Kappa FLC | Lambda FLC | Kappa FLC | Lambda FLC | |
| Slope | 1.01 | 1.02 | 0.97 | 0.94 | 1.02 | 1.01 |
| Intercept | -0.85 | -1.29 | 0.63 | 4.37 | -0.35 | -1.71 |
| Correlation | 1.00 | 1.00 | 0.99 | 1.00 | 1.00 | 1.00 |
Table 4.3. Comparison of serum and ACD plasma FLC concentrations from 50 blood donors and 20 MM patients.
4.3. Comparison of immunoassays on different instruments
sFLC kits are made for many laboratory instruments. A list of those currently available is given in Chapter 27. Comparison of FLC results using an Hitachi 911 and a Behring BNII are shown in Figure 4.15. and five different instruments are shown in Table 4.4. Comparisons of normal ranges are discussed in Chapter 5 . There are no significant differences between the results on different instruments [37].
| Dade Behring
BN™ & BN
ProSpec
| Beckman Coulter
IMMAGE®
| Roche Modular P | Olympus AU™
Series
| |
|---|---|---|---|---|
| Sensitivity (mg/L) | κ 1.2 : λ 1.7(1/20) | κ 3.0 : λ 4.0(1/5) | κ 1.6 : λ 1.8(1/2) | κ 1.2 : λ 1.2(1/2) |
| Precision (Intra-) | 2.5-8.1% | 1.9-4.7% | 1.4-5.5% | 0.7-2.0% |
| (CV) (Inter-) | 4.7-8.4% | 2.9-9.2% | 5.7-9.5% | 1.4-3.8% |
| Antigen excess | Good | Good | Satisfactory | Satisfactory |
| Analytical time | 18 minutes | 18 minutes | 10 minutes | 8.5 minutes |
| Samples per hour | 30 | 40 | 200 | 100 |
| Higher dilutions | Automatic | Off-line if high | Off-line if high | Off-line if high |
| Utility | Closed System | Open System | Open System | Open System |
Table 4.4. Summary of the characteristics of FLC assays on different instruments. (C.V. = coefficient of variation in precision studies. Numbers in brackets refer to sample dilutions). See Chapter 27 for more details.
4.4. Comparison of different serum FLC immunoassays
The Binding Site serum FLC assay (Freelite™) is the only one validated for serum measurements. New Scientific Company (NSC), from Italy, sells a urine assay for FLCs that they claim can be used for serum measurements. However, since the antisera are not latex-conjugated, there is insufficient sensitivity to measure normal sFLC concentrations. Furthermore, the antisera cross-react with intact immunoglobulins so that normal samples produce higher results than the Freelite assays. Consequently, sera containing elevated monoclonal FLCs may be classified as normal. In a study of 24 patients with monoclonal gammopathies, 15 were abnormal by Freelite but only 5 using NSC reagents. Of the 7 patients with AL amyloidosis in the cohort, all were positive by the Freelite assay but only 2 using NSC reagents. Furthermore, fluctuations of FLC concentrations were observed with Freelite reagents during monitoring that were undetectable by NSC reagents [38][39]. Thus, by scientific and clinical critera, such unvalidated reagents should not be used for serum FLC measurements.
4.5. Quality control of free light chain antisera and kits
Maintaining batch-to-batch consistency is essential as the assays may be used for monitoring individual patients over many years. Effective quality control is ensured using a variety of techniques, two of which are briefly described here. External quality assurance schemes are described in Chapter 28.
Specificity is controlled by comparing a set of test results from each new batch of antiserum with results from previous batches. Typically, the panel of samples includes normal sera, sera with elevated polyclonal FLCs and myeloma sera. The results are compared using regression analysis and are considered acceptable when they fall within a defined set of criteria (Figure 4.16).
Once suitable antisera have been selected and attached to latex particles, the other kit components are selected and assembled. Similar materials are used for calibrators and controls and comprise sera containing high concentrations of polyclonal FLCs. The first step is to assign a value to the kit calibrators using the working reference material. This is achieved using 100 separate assays and 10 separate calibration curves. The second step is to assign values to the control reagents using similar procedures.
Analytical comparisons are also made using normal sera. A typical evaluation on 30 normal samples produced the following results: mean κ = 10.8mg/L (range 4.5 - 17.1mg/L), mean λ = 18.0mg/L (range 8.2 - 31.7mg/L), mean κ/λ ratio = 0.58. Interinstrument agreement is also important with results from 4 instruments shown in Table 4.4.
The long-term effect of technical improvements, together with more experience of kit production, customer feedback (Figure 4.17) and larger batch production, has improved quality. This is apparent from the considerable reduction in customer enquiry rates, per unit sold, since the kits were first introduced 8 years ago (Figure 4.18) [40]. Upward trends typically occur as larger reagent batches are manufactured. These are advantageous because there is more material that can be used for assignment of reference values, stability checks, calibrator checks, specificity and sensitivity analysis, etc. Downward trends are associated with the introduction of new kits such as for the SPAPLUS instrument, in Autumn 2007. Newly introduced assays always have teething problems so it is of note that issues with the early kits have been largely resolved.
4.6. Scale-up of antiserum production
Scale-up involves producing larger batches, both by pooling antisera from more sheep and by using larger and more automated laboratory equipment. The polyclonal reagents have to be adsorbed to complete specificity and then affinity purified by passage through large chromatography columns. This is controlled using an AKTA biopilot system that can automatically load, wash, elute and collect antibody peaks (Figure 4.19). Batch sizes have increased a thousand fold, from a few hundred millilitres to hundreds of litres. In the life-cycle of diagnostic tests, however, the FLC immunoassays are still in their youth. Improvements will be seen in sensitivity, specificity, reactivity, precision, utility, costs, etc.
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References
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- ↑ Bailey EM, McDermott TJ, Bloch KJ. The urinary light-chain ladder pattern. A product of improved methodology that may complicate the recognition of Bence Jones proteinuria. Arch Pathol Lab Med 1993; 117: 707 – 10 PMID: 8323434
- ↑ Harrison HH. The "ladder light chain" or "pseudo-oligoclonal" pattern in urinary immunofixation electrophoresis (IFE) studies: a distinctive IFE pattern and an explanatory hypothesis relating it to free polyclonal light chains. Clin Chem 1991;37: 1559 – 64 PMID: 1909941
- ↑ Hess PP, Mastropaolo W, Thompson GD, Levinson SS. Interference of polyclonal free light chains with identification of Bence Jones proteins. Clin Chem 1993;39: 1734 – 8 PMID: 8353965
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- ↑ Bossuyt X, Schiettekatte G, Bogaerts A, Blanckaert N. Serum protein electrophoresis by CZE 2000 clinical capillary electrophoresis system. Clin Chem 1998; 44: 749 – 59 PMID: 9554485
- ↑ Katzmann JA, Clark R, Sanders E, Landers JP, Kyle RA. Prospective study of serum protein capillary zone electrophoresis and immunotyping of monoclonal proteins by immunosubtraction. Am J Clin Pathol 1998; 110: 503 – 9 PMID: 9763037
- ↑ Boege F. Measuring Bence Jones proteins with antibodies against bound immunoglobulin light-chains: how reliable are the results? Eur J Clin Chem Clin Biochem 1993; 31: 403 – 5 PMID: 8369369
- ↑ 15.0 15.1 Nakano T, Nagata A. ELISAs for free human immunoglobulin light chains in serum: improvement of assay specificity by using two specific antibodies in a sandwich detection method. J Immunol Methods 2004; 293: 183 – 9 PMID: 15541287
- ↑ Robson E, Mead G, Bradwell A. To the editor: in reply to Nakano et al. Clin Chem Lab Med 2006; 44: 522 – 532 PMID: 17368602
- ↑ Carr Smith HD, Edwards J, Showell P, Drew R, Tang LX, Bradwell AR. Preparation of an immunoglobulin free light-chain reference material. Clin Chem 2000; 46: 699a
- ↑ Bradwell AR, Carr-Smith HD, Mead GP, Tang LX, Showell PJ, Drayson MT, Drew R. Highly sensitive, automated immunoassay for immunoglobulin free light chains in serum and urine. Clin Chem 2001; 47: 673 – 80 PMID: 11274017
- ↑ Graziani MS, Merlini G. Measurement of free light chains in urine. Clin Chem 2001; 47: 2069 – 70 PMID: 11673389
- ↑ Carr-Smith HD, Showell P, Bradwell AR. Antigen excess assessment of free light chain assays on the Dade-Behring BNII nephelometer. Clin Chem 2002; 48: 23a
- ↑ 21.0 21.1 Clark RJ, Lockington KS, Tostrud LJ, Katzmann JA. Incidence of antigen excess in serum free light chain assays. Clin Chem 2007; 53: 145a
- ↑ Daval S, Tridon A, Mazeron N, Ristori JM, Evrard B. Risk of antigen excess in serum free light chain measurements. Clin Chem 2007; 53: 1985 – 6 PMID: 17954504
- ↑ Bradwell AR, Drayson MT, Mead GP. Measurement of free light chains in urine (letter - reply). Clin Chem 2001; 47: 2069 – 70
- ↑ Berggard I, Peterson PA. Polymeric forms of free normal kappa and lambda chains of human immunoglobulin. J Biol Chem 1969; 244: 4299 – 307 PMID: 4979907
- ↑ Diemert MC, Musset L, Gaillard O, Escolano S, Baumelou A, Rousselet F, Galli J. Electrophoretic study of the physico-chemical characteristics of Bence-Jones proteinuria and its association with kidney damage. J Clin Pathol 1994; 47: 1090 – 7 PMID: 7876381
- ↑ Abraham RS, Charlesworth MC, Owen BA, Benson LM, Katzmann JA, Reeder CB, Kyle RA. Trimolecular complexes of lambda light chain dimers in serum of a patient with multiple myeloma. Clin Chem 2002; 48: 1805 – 11 PMID: 12324506
- ↑ Sölling K. Polymeric forms of free light chains in serum from normal individuals and from patients with renal diseases. Scand J Clin Lab Invest 1976; 36: 447 – 52 PMID: 824709
- ↑ Sölling K, Solling J, Lanng Nielsen J. Polymeric Bence Jones proteins in serum in myeloma patients with renal insufficiency. Acta Med Scand 1984; 216: 495 – 502 PMID: 6441458
- ↑ 29.0 29.1 Heino J, Rajamaki A, Irjala K. Turbidimetric measurement of Bence-Jones proteins using antibodies against free light chains of immunoglobulins. An artifact caused by different polymeric forms of light chains. Scand J Clin Lab Invest 1984; 44: 173 – 6 PMID: 6426036
- ↑ 30.0 30.1 Émond JP, Harding S, Lemieux B. Aggregation of serum free light chains (FLC) causes overestimation of FLC nephelometric results as compared to serum protein electrophoresis (SPE) while preserving clinical usefulness. Blood 2007; 110: 4767a
- ↑ Sölling K. Polymeric forms of free light chains in serum from normal individuals and from patients with renal diseases. Scand J Clin Lab Invest 1976; 36: 447 – 52 PMID: 824709
- ↑ Sölling K, Solling J, Lanng Nielsen J. Polymeric Bence Jones proteins in serum in myeloma patients with renal insufficiency. Acta Med Scand 1984; 216: 495 – 502 PMID: 6441458
- ↑ Mead GP, Stubbs PD, Carr-Smith HD, Drew R, Drayson MT, Bradwell AR. Nephelometric measurement of serum free light chains in nonsecretory myeloma. Clin Chem 2002; 48: 70a
- ↑ Tencer J, Thysell H, Andersson K, Grubb A. Long-term stability of albumin, protein HC, immunoglobulin G, kappa- and lambda-chain-immunoreactivity, orosomucoid and alpha 1-antitrypsin in urine stored at -20 degrees C. Scand J Urol Nephrol 1997; 31: 67 – 71 PMID: 9060087
- ↑ Tencer J, Thysell H, Andersson K, Grubb A. Stability of albumin, protein HC, immunoglobulin G, kappa- and lambda-chain immunoreactivity, orosomucoid and alpha 1-antitrypsin in urine stored at various conditions. Scand J Clin Lab Invest 1994; 54: 199 – 206 PMID: 7518610
- ↑ Smith LJ, Long J, Carr-Smith HD, Bradwell AR. Measurement of immunoglobulin free light chains by automated homogeneous immunoassay in serum and plasma samples. Clin Chem 2003; 49: D58a
- ↑ Matters DJ, Solanki M, Jones R, Rose S, Carr-Smith H, Bradwell AR. Statistical analysis of free light chain results between seven nephelometric and turbidimetric platforms. Clin Chem 2008; 54: C107a
- ↑ Ricotta D, Radeghieri A, Amoroso B, Caimi L. Serum free light chains in MM: comparison of 2 assays. Haematologica 2007; 92: 1018a
- ↑ Morandeira F, Soriano A, Quandt E, Castro P, Ruiz E. Oriol A. Pujol R, Herrero MJ. Comparacion de 2 ensayos para la determination de cadenas ligeras libres en suero en pacientes con gammapatia monoclonal. Immunologia 2008; 27: 118a
- ↑ Carr-Smith HD. Binding Site Ltd., Production Director. Personal communication 2008.
