ArticleJournal of biomedical optics2020
Metabolic mapping of glioblastoma stem cells reveals NADH fluxes associated with glioblastoma phenotype and survival.
Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Mitochondrial connexin 43 modulates metabolic stress adaptation in glioma cell lines.Cell communication and signaling : CCS · 2025Article
- Optical express-biopsy of gliomas using macroscopic fluorescence lifetime imaging.Biomedical optics express · 2025Article
- Synergistic combination of cannabidiol and celecoxib or 2,5-dimethylcelecoxib exerts oxidative stress-mediated cytotoxicity and mitigates glioblastoma invasiveness.Acta biochimica Polonica · 2025Article
- Intraoperative detection of IDH-mutant glioma using fluorescence lifetime imaging.Journal of biophotonics · 2023Article
- Metabolic Modeling Identifies a Novel Molecular Type of Glioblastoma Associated with Good Prognosis.Metabolites · 2023Article
- Single cell metabolic imaging of tumor and immune cellsFrontiers in oncology · 2023Article
- Adaptive Changes Allow Targeting of Ferroptosis for Glioma Treatment.Cellular and molecular neurobiology · 2022Review
- FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring.Nano-micro letters · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
significanceGlioblastoma multiforme (GBM) is the most frequently diagnosed adult primary brain malignancy with poor patient prognosis. GBM can recur despite aggressive treatment due to therapeutically resistant glioblastoma stem cells (GSCs) that may exhibit metabolic plasticity.
aimIntrinsic nicotinamide adenine dinucleotide (NADH) fluorescence can be acquired with fluorescence lifetime imaging microscopy (FLIM) to examine its bound and free metabolic states in GSC and GBM tissues. APPROACH: We compared the mean NADH fluorescence lifetime in live human GSCs and normal neural stem cells and validated those results by measuring oxygen consumption rates (OCRs). We also examined the role that invasive versus less-invasive GSCs had on tumor metabolism by measuring the mean NADH lifetimes and the relative amount of the longer-lived component of NADH and correlated these results with survival in an orthotopic mouse xenograft model.
resultsMean NADH lifetime, amount of bound NADH, and OCR were increased in GSCs. Compared with normal mouse brain, mean NADH lifetimes were longer for all GBM tissues. Invasive xenografts had higher relative amounts of the longer-lived NADH component, and this correlated with decreased survival.
conclusionsFLIM offers cellular resolution quantification of metabolic flux in GBM phenotypes, potentially informing biomedical researchers on improved therapeutic approaches.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.