Metabolic heterogeneity and niche rewiring in bone marrow plasma cells from patients with MGUS, solitary bone plasmacytoma and multiple myeloma

Metabolic differences between plasma cell disorders reflect coordinated metabolic reprogramming within clonal plasma cells and the bone marrow microenvironment. We applied high-resolution MALDI-FT-ICR mass spectrometry imaging (MSI) to archived FFPE bone-marrow biopsies from patients with MGUS-like bone marrows (defined as <10% clonal plasma cells, including MGUS and solitary bone plasmacytoma with minimal marrow involvement (SBPmm)) and multiple myeloma (MM), integrated with matched bone marrow plasma metabolomics, to map spatial and systemic metabolic alterations. Spatial clustering delineated plasma-cell-rich niches, while Hill-based diversity and β-diversity metrics quantified intra- and inter-compartment heterogeneity. MM niches exhibited elevated 3-hydroxykynurenine, rewired tryptophan-kynurenine flux, and increased nucleotide and bioactive lipid metabolism associated with proliferation. Notably, SBPmm samples displayed MM-like metabolic niches undetectable in bone marrow plasma alone, underscoring spatial heterogeneity. Cross-compartment integration revealed conserved metabolic signatures and systemic redistribution of key metabolites, consistent with ecological reorganization and niche divergence between MGUS-like and MM. These findings establish spatial metabolomics of biopsies as a framework to dissect intramedullary metabolic heterogeneity and enable metabolite-based risk stratification in plasma cell disorders.

Authors

Institutions

Publication Details

Journal
Blood Cancer Journal
Published
2026-06-16
DOI
https://doi.org/10.1038/s41408-026-01525-8
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metabolic heterogeneity and niche rewiring in bone marrow plasma cells from patients with MGUS, solitary bone plasmacytoma and multiple myeloma

Dragan Jevremović, Shaji Kunnathu Kumar, Yogesh Chawla, Hitosugi Taro et al.
Blood Cancer Journal
Multiple Myeloma Research and Treatments
article

Metabolic heterogeneity and niche rewiring in bone marrow plasma cells from patients with MGUS, solitary bone plasmacytoma and multiple myeloma

Dragan Jevremović, Shaji Kunnathu Kumar, Yogesh Chawla, Hitosugi Taro, Wilson I. Gonsalves, Axel Walch, Guoxing Zhang, Na Sun
article en

Abstract

Metabolic differences between plasma cell disorders reflect coordinated metabolic reprogramming within clonal plasma cells and the bone marrow microenvironment. We applied high-resolution MALDI-FT-ICR mass spectrometry imaging (MSI) to archived FFPE bone-marrow biopsies from patients with MGUS-like bone marrows (defined as <10% clonal plasma cells, including MGUS and solitary bone plasmacytoma with minimal marrow involvement (SBPmm)) and multiple myeloma (MM), integrated with matched bone marrow plasma metabolomics, to map spatial and systemic metabolic alterations. Spatial clustering delineated plasma-cell-rich niches, while Hill-based diversity and β-diversity metrics quantified intra- and inter-compartment heterogeneity. MM niches exhibited elevated 3-hydroxykynurenine, rewired tryptophan-kynurenine flux, and increased nucleotide and bioactive lipid metabolism associated with proliferation. Notably, SBPmm samples displayed MM-like metabolic niches undetectable in bone marrow plasma alone, underscoring spatial heterogeneity. Cross-compartment integration revealed conserved metabolic signatures and systemic redistribution of key metabolites, consistent with ecological reorganization and niche divergence between MGUS-like and MM. These findings establish spatial metabolomics of biopsies as a framework to dissect intramedullary metabolic heterogeneity and enable metabolite-based risk stratification in plasma cell disorders.

Blood Cancer Journal
Fujian Medical University (CN), Mayo Clinic (US), Helmholtz Zentrum München (DE), First Affiliated Hospital of Fujian Medical University (CN), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 9%
Multiple Myeloma Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.