Mass spectrometry-based proteomic diagnosis of renal immunoglobulin heavy chain amyloidosis. Academic Article uri icon

Overview

abstract

  • BACKGROUND AND OBJECTIVES: Amyloidosis is a group of disorders characterized by accumulation of extracellular deposition of proteins as insoluble aggregates. The clinical management of amyloidosis is based on identifying the underlying etiology and accurate typing of the amyloid. Ig heavy chain amyloid involving the kidney is poorly recognized and often poses a diagnostic dilemma. DESIGN, SETTING, PARTICIPANTS, & MEASURES: In this study, we describe the use of laser microdissection (LMD) and mass spectrometry (MS)-based proteomic analysis for the accurate typing of 14 cases of amyloidosis. We also describe the clinicopathologic findings of four problematic cases of renal Ig heavy chain amyloidosis that required LMD/MS proteomic analysis for accurate typing of the amyloid. RESULTS: LMD/MS proteomic data of four cases of Ig heavy chain renal amyloidosis showed Ig heavy chains with or without light chains. The break up of the Ig heavy chains was as follows: one case showed Igγ1 chain constant region and λ light chains, one case showed Igα chain constant region and κ light chains variable and constant regions, whereas two cases showed Igγ3 chain constant region and heavy chains variable region I and/or III without light chains. We compare the LMD/MS proteomic data of Ig heavy chain renal amyloid with that of other types of amyloid, including Ig light chains, serum amyloid A, fibrinogen A-α chain renal amyloid, and transthyretin amyloid. CONCLUSIONS: We conclude that LMD/MS is a sensitive and specific tool for diagnosis and accurate typing of renal amyloidosis, including Ig heavy chain amyloid.

publication date

  • September 28, 2010

Research

keywords

  • Amyloid
  • Amyloidosis
  • Immunoglobulin Heavy Chains
  • Kidney Diseases
  • Mass Spectrometry
  • Proteomics

Identity

PubMed Central ID

  • PMC2994078

Scopus Document Identifier

  • 78650410552

Digital Object Identifier (DOI)

  • 10.2215/CJN.02890310

PubMed ID

  • 20876678

Additional Document Info

volume

  • 5

issue

  • 12