Targeted Analysis of the Size Distribution of Heavy Chain-Modified Hyaluronan with Solid-State Nanopores

Dorothea A Erxleben, Rebecca J Dodd, Anthony J Day, Dixy E Green, Paul L DeAngelis, Suruchi Poddar, Jan J Enghild, Janet L Huebner, Virginia B Kraus, Amanda R Watkins, Heidi L Reesink, Elaheh Rahbar, Adam R Hall

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

The glycosaminoglycan hyaluronan (HA) plays important roles in diverse physiological functions where the distribution of its molecular weight (MW) can influence its behavior and is known to change in response to disease conditions. During inflammation, HA undergoes a covalent modification in which heavy chain subunits of the inter-alpha-inhibitor family of proteins are transferred to its structure, forming heavy chain-HA (HC•HA) complexes. While limited assessments of HC•HA have been performed previously, determining the size distribution of its HA component remains a challenge. Here, we describe a selective method for extracting HC•HA from mixtures that yields material amenable to MW analysis with a solid-state nanopore sensor. After demonstrating the approach in vitro, we validate extraction of HC•HA from osteoarthritic human synovial fluid as a model complex biological matrix. Finally, we apply our technique to pathophysiology by measuring the size distributions of HC•HA and total HA in an equine model of synovitis.

Original languageEnglish
JournalAnalytical Chemistry
Volume96
Issue4
Pages (from-to)1606-1613
Number of pages8
ISSN0003-2700
DOIs
Publication statusPublished - 30 Jan 2024

Keywords

  • Alpha-Globulins/metabolism
  • Animals
  • Horses
  • Humans
  • Hyaluronic Acid/chemistry
  • Inflammation
  • Nanopores
  • Synovial Fluid

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