An underestimated old friend: Serum protein electrophoresis in the differential diagnosis of glomerulopathies

Year 2023, , 254 - 261, 29.10.2023

Ahmet Bilgehan Şahin , Safiye Bakkal , Saide Güllülü , Ayşegül Oruç , Abdülmecit Yıldız , Mehmet Fethullah Aydın , Alparslan Ersoy , Gökhan Ocakoğlu , Mustafa Güllülü

https://doi.org/10.46310/tjim.1358169

Abstract

Background: Serum protein electrophoresis (SPEP) is an easy test separating serum proteins based on their physical and chemical properties. Although it is frequently used in the differential diagnosis of multiple myeloma and various chronic inflammatory diseases, its value in the etiologic classification of glomerular diseases has yet to be studied.
Material and Methods: We retrospectively reviewed the medical records of patients who underwent renal biopsy from 2008 to 2016 at our institution. We excluded patients who can not be classified as primary (PGn) or secondary glomerulonephritis (SGn). Univariate and multivariate logistic regression analyses were performed for the prediction of SGn.
Results: Four hundred thirty-two patients were included in the study. Of those, 57.9% had PGn. Rheumatological diseases, malignancies, and infections were the most common etiologic causes of SGn, accounting for nearly 75%. Univariate analysis revealed that alpha-1 (α1), gamma (Ɣ), and albumin fractions significantly differ between PGn and SGn groups. ROC curve analysis determined the cut-off value of (α1*Ɣ)/albumin ratio as 1.48. Multivariate analysis revealed that total serum protein and (α1*Ɣ)/albumin ratio were significantly independent predictors for SGn (p=0.020 and p<0.001, respectively).
Conclusions: A ratio generated by multiplying α1 and Ɣ and dividing by albumin from SPEP, an easy, reliable, and cheap test, may help clinicians differentiate between PGn and SGn after validation in more extensive prospective studies.

Keywords

glomerular disease, primary glomerulonephritis, secondary glomerulonephritis, serum protein electrophoresis, albumin band, alpha-1 band, gamma band

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