Evidence map›Paper›PMID 37258771›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

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

Alessio Lepore, Fatma Necmiye Kaci, Concetta Bubici, Salvatore Papa

Open access · hybridAbstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Alessio LeporeLeeds Institute of Medical Research, St. James's University Hospital, University of Leeds, Leeds, UK.
Fatma Necmiye KaciLeeds Institute of Medical Research, St. James's University Hospital, University of Leeds, Leeds, UK.
Concetta Bubici *Department of Life Sciences, Center for Genome Engineering and Maintenance, College of Health, Medicine and Life Sciences, Brunel University London, London, UK.ORCID https://orcid.org/0000-0002-8074-4661
Salvatore Papa *Leeds Institute of Medical Research, St. James's University Hospital, University of Leeds, Leeds, UK. s.papa@leeds.ac.uk.ORCID https://orcid.org/0000-0002-8369-6538
University of Leeds · GBBrunel University of London · GB

Funding

Bloodwise 17014
6 · The paper itself

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.

Indexed as

Multiple MyelomaCell RespirationEnergy MetabolismGlycolysisHumansMitochondriaAerobic glycolysisCellular stressCytotoxic drugsMetabolic reprogrammingMultiple myeloma

Identifiers

PMID37258771
OpenAlexW4378805248

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.