Background: Increasing evidence are available about the presence of increased serum concentration of Immunoglobulin (Ig) Free Light Chains (FLCs) in both atopic and non-atopic inflammatory diseases, including severe asthma, providing a possible new biomarker of disease, disease severity and also an alternative approach to the treatment. Methods: We analyzed clinical and laboratory data, including FLCs, obtained from a cohort of 79 asthmatic subjects, clinically classified into different GINA steps. A control group of 40 age-matched healthy donors (HD) was considered. Particularly, HD have been selected according to the absence of monoclonal components (in order to exclude paraproteinemias), were tested for total IgE (that were in the normal ranges) and were negative for aeroallergens specific IgE. Moreover, no abnormality of common inflammatory markers (i.e. erythrocyte sedimentation rate, C-reactive protein) was detectable. Results: FLC-k levels were significantly increased in the asthmatic population, compared to the control group. Despite the absence of statistically significant differences in FLC-λ levels, the FLC-k/FLC-λ ratio displayed remarkable differences between the two groups. A positive correlation between FLC-κ and FLC-λ levels was found. FLC- λ level displayed a significant negative correlation with the FEV1 value. Moreover, the FLC-κ /FLC- λ ratio was negatively correlated with the SNOT-22 score and a positive correlation was observed between FLCs and Staphylococcus Aureus IgE enterotoxins sensitization. Conclusions: Our findings confirmed the role of FLCs in asthma as a potential biomarker in an inflammatory disease characterized by different endotypes and phenotypes. In particular, FLC-κ and FLC-k/FLC-λ ratio could be a qualitative indicator for asthma, while FLC-λ levels could be a quantitative indicator for disease severity.

Background: The ongoing outbreak of Coronavirus Disease 2019 (COVID-19) represents a major threat to human health, which impairs the functionality of several organs. One of the hardest challenges in the fight against COVID-19 is the development of wide-scale, effective, and rapid laboratory tests to control disease severity, progression, and possible sudden worsening. Monitoring patients in real-time is indeed highly demanded in this pandemic era when physicians need reliable and quantitative tools to prioritize patients’ access to intensive care departments. In this regard, salivary biomarkers are extremely promising, as they allow for a fast and non-invasive specimens’ collection, which can be repeated multiple times. Methods: We compare salivary levels of immunoglobulin A subclasses (IgA1 and IgA2) and free-light chains (FLC k and λ) in a cohort of 29 SARS-CoV-2 patients and 21 healthy subjects. Results: We found that each biomarkers differs significantly between the two groups, with p-values ranging from 10-8 to 10-4. The performance ranking of these markers, shows that λFLC level (p=1.4e-8) is the best-suited candidate to discriminate the two groups, with an accuracy of 0.94 (0.87-1.00 95% CI), a precision of 0.91 (0.81-1.00 95% CI), a sensitivity of 1.00 (0.96-1.00 95% CI) and a specificity of 0.86 (0.70-1.00 95% CI). Conclusion: These results suggest λFLC as an ideal indicator of patient conditions. This is more strengthened in consideration that λFLC half-life (approximately 6 hours) is significantly shorter than the IgA one (21 days): thus λFLC appears displaying the potential to effectively monitor patients fluctuation in real-time

Free light chains (FLC), considered a biomarker of B cell activity, are frequently elevated in different systemic inflammatory-autoimmune diseases. As systemic sclerosis (SSc) clinical course may be variable, this study aimed to assess FLCs levels in serum and urine of affected individuals, as biomarkers of disease activity. We assessed FLC levels in serum and urine of 72 SSc patients and 30 healthy controls (HC). Results were analyzed in comparison with overall clinical and laboratory findings, disease activity index (DAI) and disease severity scale (DSS). SSc patients displayed increased levels of k and λ FLC in serum, significantly higher than HC (p=0.0001) alongside with the mean levels of free k/λ ratio and of the k+λ sum (p=0.0001). In addition, SSc patients had significant higher levels in the urine of free k and of k/λ ratio than HC (p=0.0001). SSc patients with increased k+λ sum in serum showed a statistically higher levels of erythro-sedimentation rate (p=0.034), C-reactive protein (p=0.003), higher DAI (p=0.024) and DSS (p=0.015) than SSc patients with normal levels of FLC. A positive linear correlation was found between serum levels of free k and DAI (r=0.29, p=0.014). SSc patients with increased free k in urine had statistically higher DAI (p=0.048) than SSc patients with normal level of free k. The significant increased levels of FLC correlated with disease activity in SSc patients. Our results strengthen the role of FLC as useful biomarkers in clinical practice to early diagnosis and monitor disease activity with an improvement of SSc patients’ management.