: Multiple myeloma (MM) is an incurable plasma cell malignancy primarily localized within the bone marrow (BM). Myeloma plasma cells, like many other cancer cells, change their metabolism in response to internal and external stimuli. The main metabolic alterations of MM cells include deregulated glycolysis (commonly associated with enhanced uptake and utilization of glucose), lipid metabolism dysregulation, as well as deregulated mitochondrial respiration (commonly associated with the deregulated formation of reactive oxygen species). Over the past decade, the discovery of novel methodologies and the commercialization of sophisticated instrumentation and reagents have facilitated the detection of real-time changes in cellular bioenergetics. Of those, the Seahorse™ extracellular flux (XF) analyzer has been widely used to evaluate the glycolytic flux and mitochondrial respiration in many cell types. While adherent cell lines are easy to use with this technology, non-adherent suspension cells are more difficult to handle especially when their metabolic activities are being investigated in response to drug treatment. Here, we provide an integrated protocol that allows the detection of extracellular acidification rate (ECAR) of live myeloma plasma cells in response to chemotherapeutic drugs. Our optimized protocol consists of treating myeloma cells with cytotoxic drug of interest in a standard culture plate prior to the real-time analysis in the XF analyzer. Furthermore, we provide results of experiments in which the metabolic activities of myeloma cells in response to cytotoxic treatment were compared between the manufacturer's basic procedure and our optimized protocol. Our observations suggest that our integrated protocol can be used to achieve consistent, well-standardized results and thus it may have broad applications in studies focusing on the characterization of metabolic events in non-adherent suspension cells.

An Integrated Methodology to Quantify the Glycolytic Stress in Plasma Cell Myeloma in Response to Cytotoxic Drugs

Lepore, Alessio
Primo
Writing – Original Draft Preparation
;
2023-01-01

Abstract

: Multiple myeloma (MM) is an incurable plasma cell malignancy primarily localized within the bone marrow (BM). Myeloma plasma cells, like many other cancer cells, change their metabolism in response to internal and external stimuli. The main metabolic alterations of MM cells include deregulated glycolysis (commonly associated with enhanced uptake and utilization of glucose), lipid metabolism dysregulation, as well as deregulated mitochondrial respiration (commonly associated with the deregulated formation of reactive oxygen species). Over the past decade, the discovery of novel methodologies and the commercialization of sophisticated instrumentation and reagents have facilitated the detection of real-time changes in cellular bioenergetics. Of those, the Seahorse™ extracellular flux (XF) analyzer has been widely used to evaluate the glycolytic flux and mitochondrial respiration in many cell types. While adherent cell lines are easy to use with this technology, non-adherent suspension cells are more difficult to handle especially when their metabolic activities are being investigated in response to drug treatment. Here, we provide an integrated protocol that allows the detection of extracellular acidification rate (ECAR) of live myeloma plasma cells in response to chemotherapeutic drugs. Our optimized protocol consists of treating myeloma cells with cytotoxic drug of interest in a standard culture plate prior to the real-time analysis in the XF analyzer. Furthermore, we provide results of experiments in which the metabolic activities of myeloma cells in response to cytotoxic treatment were compared between the manufacturer's basic procedure and our optimized protocol. Our observations suggest that our integrated protocol can be used to achieve consistent, well-standardized results and thus it may have broad applications in studies focusing on the characterization of metabolic events in non-adherent suspension cells.
2023
9781071632468
9781071632475
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11695/130356
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