2009
DOI: 10.1016/j.cca.2009.04.024
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Serum free light chain analysis may miss monoclonal light chains that urine immunofixation electrophoreses would detect

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Cited by 35 publications
(22 citation statements)
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“…If suspected, immunofixation of serum and urine FLC assay should be obtained 12. The high frequency of kappa IgG FLC proteinaemia is a hallmark of AL amyloidosis 2.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…If suspected, immunofixation of serum and urine FLC assay should be obtained 12. The high frequency of kappa IgG FLC proteinaemia is a hallmark of AL amyloidosis 2.…”
Section: Discussionmentioning
confidence: 99%
“…Cardiac, renal and liver biopsies are invasive and increase the risk of postprocedure haemorrhage 12. If amyloid deposits are identified, it is imperative to determine the extent of amyloidosis (localised or systemic) and the specific type of amyloid deposits, since it helps to avoid misdiagnosis and future treatment approach 2 12.…”
Section: Discussionmentioning
confidence: 99%
“…Dimers or polymers of immunoglobulin light chains (usually λ dimers) interfere the determination of serum or urine FLC analysis [29–30]. Shaheen SP et al reported serum FLC analysis might miss monoclonal light chains that urine IFE detected [31]. Moreover, the sensitivity of urine FLC detection was restricted by the kidney capacity for reabsorbing and catabolizing FLC [6].…”
Section: Discussionmentioning
confidence: 99%
“…A simple approach for improving urine protein detection was developed by combining silver staining with classic cellulose acetate membrane electrophoresis, prior to mass spectrometric analysis. Cellulose acetate membrane electrophoresis (CAME) is the classical method for identifying free light chain immunoglobulins (Bence-Jones proteins) in urine, based on relative mobility of the immunoglobulin fractions [73]. CAME allows discrimination of well-separated proteins on the cellulose acetate membrane, as well as the overlapping proteins.…”
Section: Advancements In Mass Spectrometry Based Urinary Proteomicsmentioning
confidence: 99%