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Open AccessArticle

Assessing Heterogeneity of Osteolytic Lesions in Multiple Myeloma by 1H HR-MAS NMR Metabolomics

1
Biomolecular NMR Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, 20132 Milano, Italy
2
Protein Transport and Secretion Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, 20132 Milano, Italy
3
Università Vita-Salute San Raffaele, 20132 Milano, Italy
4
Age Related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, 20132 Milano, Italy
5
Centro Interdipartimentale Grandi Apparecchiature, Università di Milano, 20132 Milano, Italy
6
Department of Orthopaedics and Traumatology, Orthopaedics, San Raffaele Scientific Institute, 20132 Milano, Italy
7
Department of Oncohematology, Hematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, 20132 Milano, Italy
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this paper.
Present address: Department of Medicine, Division of Bone and Mineral Diseases, Musculoskeletal Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
§
Present address: Center for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, 20132 Milano, Italy
Present address: Mestrelab Research S.L., 15706 Santiago de Compostela, Spain
These corresponding authors contributed equally to this paper.
Academic Editor: Maria Alfonsina Desiderio
Int. J. Mol. Sci. 2016, 17(11), 1814; https://doi.org/10.3390/ijms17111814
Received: 1 August 2016 / Revised: 5 October 2016 / Accepted: 20 October 2016 / Published: 31 October 2016
(This article belongs to the Special Issue Cellular and Molecular Mechanisms of Bone Metastasis)
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 unbiased 1H 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. View Full-Text
Keywords: high-resolution magic-angle spinning (HR-MAS); metabolomics; multiple myeloma; nuclear magnetic resonance (NMR); osteolysis high-resolution magic-angle spinning (HR-MAS); metabolomics; multiple myeloma; nuclear magnetic resonance (NMR); osteolysis
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MDPI and ACS Style

Tavel, L.; Fontana, F.; Garcia Manteiga, J.M.; Mari, S.; Mariani, E.; Caneva, E.; Sitia, R.; Camnasio, F.; Marcatti, M.; Cenci, S.; Musco, G. Assessing Heterogeneity of Osteolytic Lesions in Multiple Myeloma by 1H HR-MAS NMR Metabolomics. Int. J. Mol. Sci. 2016, 17, 1814. https://doi.org/10.3390/ijms17111814

AMA Style

Tavel L, Fontana F, Garcia Manteiga JM, Mari S, Mariani E, Caneva E, Sitia R, Camnasio F, Marcatti M, Cenci S, Musco G. Assessing Heterogeneity of Osteolytic Lesions in Multiple Myeloma by 1H HR-MAS NMR Metabolomics. International Journal of Molecular Sciences. 2016; 17(11):1814. https://doi.org/10.3390/ijms17111814

Chicago/Turabian Style

Tavel, Laurette; Fontana, Francesca; Garcia Manteiga, Josè M.; Mari, Silvia; Mariani, Elisabetta; Caneva, Enrico; Sitia, Roberto; Camnasio, Francesco; Marcatti, Magda; Cenci, Simone; Musco, Giovanna. 2016. "Assessing Heterogeneity of Osteolytic Lesions in Multiple Myeloma by 1H HR-MAS NMR Metabolomics" Int. J. Mol. Sci. 17, no. 11: 1814. https://doi.org/10.3390/ijms17111814

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