Evidence map›Paper›PMID 40473840›Full record

ArticleMolecular systems biology2025

Pathway metabolite ratios reveal distinctive glutamine metabolism in a subset of proliferating cells.

Nancy T Santiappillai, Yue Cao, Mariam F Hakeem-Sanni, Jean Yang, Lake-Ee Quek, Andrew J Hoy

Abstract read
In one paragraph

Article in Molecular systems biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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

6 authors.

Nancy T SantiappillaiSchool of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, 2006, Australia.ORCID http://orcid.org/0000-0001-9797-559X
Yue CaoSchool of Mathematics and Statistics, Charles Perkins Centre, Faculty of Science, The University of Sydney, Sydney, New South Wales, 2006, Australia.
Mariam F Hakeem-SanniSchool of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, 2006, Australia.
Jean YangSchool of Mathematics and Statistics, Charles Perkins Centre, Faculty of Science, The University of Sydney, Sydney, New South Wales, 2006, Australia.ORCID http://orcid.org/0000-0002-5271-2603
Lake-Ee QuekSchool of Mathematics and Statistics, Charles Perkins Centre, Faculty of Science, The University of Sydney, Sydney, New South Wales, 2006, Australia.
Andrew J HoySchool of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, 2006, Australia. andrew.hoy@sydney.edu.au.ORCID http://orcid.org/0000-0003-3922-1137

Funding

University of Sydney (USYD) General supportUniversity of Sydney (USYD) Robinson Fellowship
6 · The paper itself

Abstract

Large-scale metabolomic analyses of pan-cancer cell line panels have provided significant insights into the relationships between metabolism and cancer cell biology. Here, we took a pathway-centric approach by transforming targeted metabolomic data into ratios to study associations between reactant and product metabolites in a panel of cancer and non-cancer cell lines. We identified five clusters of cells from various tissue origins. Of these, cells in Cluster 4 had high ratios of TCA cycle metabolites relative to pyruvate, produced more lactate yet consumed less glucose and glutamine, and greater OXPHOS activity compared to Cluster 3 cells with low TCA cycle metabolite ratios. This was due to more glutamine cataplerotic efflux and not glycolysis in cells of Cluster 4. In silico analyses of loss-of-function and drug sensitivity screens showed that Cluster 4 cells were more susceptible to gene deletion and drug targeting of glutamine metabolism and OXPHOS than cells in Cluster 3. Our results highlight the potential of pathway-centric approaches to reveal new aspects of cellular metabolism from metabolomic data.

Indexed as

GlutamineCell Line, TumorCell ProliferationCitric Acid CycleGlucoseGlycolysisHumansMetabolic Networks and PathwaysMetabolomeMetabolomicsNeoplasmsOxidative PhosphorylationPyruvic AcidGlucoseGlutaminePyruvic AcidCancer Cell LinesGlucose MetabolismGlutamine MetabolismMetabolic PathwaysMetabolomics

Identifiers

PMID40473840
PMCPMC12322234

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.