Nontargeted And Targeted Metabolomics Approaches Reveal The Key Amino In this study, we performed metabolic profiling of multiple myeloma and identified potential metabolites associated with clinical characteristics, therapeutic efficacy, and prognosis of the disease. fifty five patients with newly diagnosed multiple myeloma and thirty seven healthy controls from august 2016 to october 2017 were randomly collected. Multiple myeloma (mm), a kind of malignant neoplasm of clonal plasma cells in the bone marrow, is a refractory disease. understanding the metabolism disorders and identification of metabolomics pathways as well as key metabolites will provide new insights.
Application Of Microbiome Metabolomics In Multiple Myeloma Eligible Mm 1. introduction. multiple myeloma (mm) is reported as the second most prevalent hematological malignancy (∼15%) across the world. 1 mm is characterized by rapid proliferation of plasma cells and their subsequent accumulation in bone marrow which results in overproduction of antibodies and eventually leads to bone resorption. 2 it is one of the most dominant hematological malignancies on the. Multiple myeloma (mm) is a hematological malignancy, characterized by the uncontrolled proliferation of clonal plasma cells in the bone marrow [1, 2]. the disease occurs mainly in elderly patients and remains incurable [3, 4]. in order to properly diagnose mm in accordance with clinical recommendations different tests are applied [[4], [5], [6. Aims: to discriminate metabolic biomarkers for diagnosis and risk prediction of multiple myeloma (mm) on a basis of metabolic characteristics in systemic circulation and local pathogenic niche. main methods: a gas chromatography mass spectrometry based untargeted metabolomics analysis was performed within the bone marrow (bm) supernatants and. 1. introduction. multiple myeloma (mm), a malignancy of plasma cells (pcs), is characterized by clonal proliferation in the bone marrow (bm) [1, 2].over the past decades, great efforts have been made to identify markers related to pathogenesis, diagnosis and risk stratification of mm patients such as biochemical characterization and genes [3, 4], which greatly facilitated the diagnosis and.
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