Comprehensive Analyses of the Immunoglobulin Proteome for the Classification of Glomerular Diseases

Abstract

Glomerular diseases, which are currently diagnosed using an invasive renal biopsy, encompass numerous disease subtypes that often display similar clinical manifestations even though they have different therapeutic regimes. Therefore, a noninvasive assay is needed to classify and guide the treatment of glomerular diseases. Here, we develop and apply a high-throughput and quantitative microarray platform to characterize the immunoglobulin proteome in the serum from 419 healthy and diseased patients. The immunoglobulin proteome−clinical variable correlation network revealed novel pathological mechanisms of glomerular diseases. Furthermore, an immunoglobulin proteome-multivariate normal distribution (IP-MiND) mathematical model based on the correlation network classified healthy volunteers and patients with idiopathic membranous nephropathy with an average recall of 48% (23−80%) in the discovery cohort and 64% (63−65%) in an independent validation cohort. Our results demonstrate the translational utility of our microarray platform to glomerular diseases as well as its clinical potential in characterizing other human diseases.

Pathological mechanism of immune disorders in diabetic kidney disease and intervention strategies

“…Immunoglobulin is accepted by B cell proliferation differentiation antigen stimulation generated plasma cells produce a glycoprotein that can combine with the corresponding antigen, which is an important effect of mediating humoral immune molecules. The main immune proteins in the human body are IgG, IgA, IgM, IgD, and IgE, which are present in the blood, tissue fluid, and external secretions, and are important indicators of humoral immune function[ 71 , 72 ].…”