Biochemical and biophysical comparison of human and mouse beta-2 microglobulin reveals the molecular determinants of low amyloid propensity

Adnane Achour, Luca Broggini, Xiao Han, Renhua Sun, Carlo Santambrogio, Jeremie Buratto, Cristina Visentin, Alberto Barbiroli, Chiara Maria Giulia De Luca, Pietro Sormanni, Fabio Moda, Alfonso De Simone, Tatyana Sandalova, Rita Grandori, Carlo Camilloni, Stefano Ricagno

Research output: Contribution to journalArticlepeer-review

Abstract

The molecular bases of amyloid aggregation propensity are still poorly understood, especially for proteins that display a stable folded native structure. A prototypic example is human beta-2 microglobulin (β2m), which, when accumulated in patients, gives rise to dialysis-related amyloidosis. Interestingly, although the physiologic concentration of β2m in mice is five times higher than that found in human patients, no amyloid deposits are observed in mice. Moreover, murine β2m (mβ2m) not only displays a lower amyloid propensity both in vivo and in vitro but also inhibits the aggregation of human β2m in vitro. Here, we compared human and mβ2m for their aggregation propensity, ability to form soluble oligomers, stability, three-dimensional structure and dynamics. Our results indicate that mβ2m low-aggregation propensity is due to two concomitant aspects: the low-aggregation propensity of its primary sequence combined with the absence of high-energy amyloid-competent conformations under native conditions. The identification of the specific properties determining the low-aggregation propensity of mouse β2m will help delineate the molecular risk factors which cause a folded protein to aggregate.

Original languageEnglish
Pages (from-to)546-560
Number of pages15
JournalFEBS Journal
Volume287
Issue number3
DOIs
Publication statusPublished - Feb 1 2020

Keywords

  • amyloid
  • crystal structure
  • molecular dynamics
  • protein aggregation
  • structural biology

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Cell Biology

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