Figure 1
Figure 1. Amyloid proteins detected by proteomics analysis in patients' abdominal subcutaneous fat tissue. Results of semiquantitative differential analysis (patients vs controls) and absolute spectral count of the amyloid proteins are shown. Specific amyloid proteins were identified by comparing the protein lists of each patient against the average protein profile of nonaffected adipose tissue, by means of MAProMa software (through calculation of Dave/DCI values; Dave ≥ +0.4 and DCI ≥ +400 correspond to proteins significantly up-represented in patients).14 For LC-κ and LC-λ, the contributions of both constant and variable regions were considered. SAA indicates serum amyloid A; Cm, the average value of each amyloid protein in nonaffected tissue, acquired from 11 controls and deposited in our database; and —, not applicable. *Confirmed by IEM.

Amyloid proteins detected by proteomics analysis in patients' abdominal subcutaneous fat tissue. Results of semiquantitative differential analysis (patients vs controls) and absolute spectral count of the amyloid proteins are shown. Specific amyloid proteins were identified by comparing the protein lists of each patient against the average protein profile of nonaffected adipose tissue, by means of MAProMa software (through calculation of Dave/DCI values; Dave ≥ +0.4 and DCI ≥ +400 correspond to proteins significantly up-represented in patients).14 For LC-κ and LC-λ, the contributions of both constant and variable regions were considered. SAA indicates serum amyloid A; Cm, the average value of each amyloid protein in nonaffected tissue, acquired from 11 controls and deposited in our database; and —, not applicable. *Confirmed by IEM.

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