Assessing heterogeneity of osteolytic lesions in multiple myeloma by1H HR-MAS NMR metabolomics

Laurette Tavel, Francesca Fontana, Josè Manuel Garcia Manteiga, Silvia Mari, Elisabetta Mariani, Enrico Caneva, Roberto Sitia, Francesco Camnasio, Magda Marcatti, Simone Cenci, Giovanna Musco

Research output: Contribution to journalArticlepeer-review

Abstract

Multiple myeloma (MM) is a malignancy of plasma cells characterized by multifocal osteolytic bone lesions. Macroscopic and genetic heterogeneity has been documented within MM lesions. Understanding the bases of such heterogeneity may unveil relevant features of MM pathobiology. To this aim, we deployed unbiased1H high-resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) metabolomics to analyze multiple biopsy specimens of osteolytic lesions from one case of pathological fracture caused by MM. Multivariate analyses on normalized metabolite peak integrals allowed clusterization of samples in accordance with a posteriori histological findings. We investigated the relationship between morphological and NMR features by merging morphological data and metabolite profiling into a single correlation matrix. Data-merging addressed tissue heterogeneity, and greatly facilitated the mapping of lesions and nearby healthy tissues. Our proof-of-principle study reveals integrated metabolomics and histomorphology as a promising approach for the targeted study of osteolytic lesions.

Original languageEnglish
Article number1814
JournalInternational Journal of Molecular Sciences
Volume17
Issue number11
DOIs
Publication statusPublished - Nov 1 2016

Keywords

  • High-resolution magic-angle spinning (HR-MAS)
  • Metabolomics
  • Multiple myeloma
  • Nuclear magnetic resonance (NMR)
  • Osteolysis

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Computer Science Applications
  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

Fingerprint Dive into the research topics of 'Assessing heterogeneity of osteolytic lesions in multiple myeloma by<sup>1</sup>H HR-MAS NMR metabolomics'. Together they form a unique fingerprint.

Cite this