scholarly journals Polyclonal free light chains: a biomarker of inflammatory disease or treatment target?

10.3410/m5-4 ◽  
2013 ◽  
Vol 5 ◽  
Author(s):  
Judith A. Brebner ◽  
Robert A. Stockley
Keyword(s):  
Inflammatory Disease ◽  
Light Chains ◽  
Free Light Chains ◽  
Treatment Target

scholarly journals Serum free light chains

Pathology ◽  
2021 ◽  
Vol 53 ◽  
pp. S4
Author(s):  
Karl W. Baumgart
Keyword(s):  
Light Chains ◽  
Free Light Chains ◽  
Serum Free ◽  
Serum Free Light Chains

scholarly journals Cell Population Data and Serum Polyclonal Immunoglobulin Free Light Chains in the Assessment of COVID-19 Severity

Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1381
Author(s):  
Milena Małecka-Giełdowska ◽  
Maria Fołta ◽  
Agnieszka Wiśniewska ◽  
Emilia Czyżewska ◽  
Olga Ciepiela
Keyword(s):  
Nucleic Acid ◽  
Serum Concentration ◽  
Odds Ratio ◽  
Healthcare Quality ◽  
Reference Value ◽  
Population Data ◽  
Light Chains ◽  
Nucleic Acid Content ◽  
Free Light Chains ◽  
Polyclonal Immunoglobulin

Distinguishing between severe and nonsevere COVID-19 to ensure adequate healthcare quality and efficiency is a challenge for the healthcare system. The aim of this study was to assess the usefulness of CBC parameters together with analysis of FLC serum concentration in risk stratification of COVID-19. Materials and methods: CBC was analyzed in 735 COVID ICU, COVID non-ICU, and non-COVID ICU cases. FLC concentration was analyzed in 133 of them. Results: COVID ICU had neutrophils and lymphocytes with the greatest size, granularity, and nucleic acid content. Significant differences in concentrations of κ and λ FLCs were shown between COVID ICU and COVID non-ICU. However, no difference was found in the κ/λ ratio between these groups, and the ratio stayed within the reference value, which indicates the presence of polyclonal FLCs. FLC κ measurement has significant power to distinguish between severe COVID-19 and nonsevere COVID-19 (AUC = 0.7669), with a sensitivity of 86.67% and specificity of 93.33%. The κ coefficients’ odds ratio of 3.0401 was estimated. Conclusion: It can be concluded that the results obtained from the measure of free light immunoglobulin concentration in serum are useful in distinguishing between severe and nonsevere COVID-19.

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