Evidence map›Paper›PMID 26175011›Full record

ArticleMolecular bioSystems2015

Metabolomics identifies the intersection of phosphoethanolamine with menaquinone-triggered apoptosis in an in vitro model of leukemia.

Suganthagunthalam Dhakshinamoorthy, Nha-Truc Dinh, Jeffrey Skolnick, Mark P Styczynski

Open access · greenAbstract read
In one paragraph

Article in Molecular bioSystems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
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  6. Article
  7. Review
  8. Metabolic Dynamics inACS synthetic biology · 2021
    Article
  9. Review
  10. Article
  11. Metabolic Profiling ofIndustrial & engineering chemistry research · 2019
    Article
  12. Article
  13. Article
  14. Article
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  17. Article
  18. Preclinical Development of a Nontoxic Oral Formulation of Monoethanolamine, a Lipid Precursor, for Prostate Cancer Treatment.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    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

4 authors at 1 institution in 1 country.

Suganthagunthalam DhakshinamoorthySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, USA. mark.styczynski@chbe.gatech.edu.
Nha-Truc Dinh
Jeffrey Skolnick
Mark P Styczynski
Georgia Institute of Technology · US

Funding

Interaction Pattern Based Predictor of Protein StruturesR01GM048835 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SKOLNICK, JEFFREY · 1994 to 2015
$4.0M
A Computational Metabolomics tool (CoMet) for cancer metabolismR21CA167500 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI SKOLNICK, JEFFREY, STYCZYNSKI, MARK PHILIP-WALTER · 2012 to 2013
$355k
NCI NIH HHS R21 CA167500NCI NIH HHS R21CA167500NIGMS NIH HHS R01 GM048835
6 · The paper itself

Abstract

Altered metabolism is increasingly acknowledged as an important aspect of cancer, and thus serves as a potentially fertile area for the identification of therapeutic targets or leads. Our recent work using transcriptional data to predict metabolite levels in cancer cells led to preliminary evidence of the antiproliferative role of menaquinone (vitamin K2) in the Jurkat cell line model of acute lymphoblastic leukemia. However, nothing is known about the direct metabolic impacts of menaquinone in cancer, which could provide insights into its mechanism of action. Here, we used metabolomics to investigate the process by which menaquinone exerts antiproliferative activity on Jurkat cells. We first validated the dose-dependent, semi-selective, pro-apoptotic activity of menaquinone treatment on Jurkat cells relative to non-cancerous lymphoblasts. We then used mass spectrometry-based metabolomics to identify systems-scale changes in metabolic dynamics that are distinct from changes induced in non-cancerous cells or by other chemotherapeutics. One of the most significantly affected metabolites was phosphoethanolamine, which exhibited a two-fold increase in menaquinone-treated Jurkat cells compared to vehicle-treated cells at 24 h, growing to a five-fold increase at 72 h. Phosphoethanolamine elevation was observed prior to the induction of apoptosis, and was not observed in menaquinone-treated lymphoblasts or chemotherapeutic-treated Jurkat cells. We also validated the link between menaquinone and phosphoethanolamine in an ovarian cancer cell line, suggesting potentially broad applicability of their relationship. This metabolomics-based work is the first detailed characterization of the metabolic impacts of menaquinone treatment and the first identified link between phosphoethanolamine and menaquinone-induced apoptosis.

Indexed as

ApoptosisMetabolomicsAntineoplastic AgentsCell Line, TumorCell ProliferationEthanolaminesHumansJurkat CellsLeukemiaMetabolomeVitamin K 2Antineoplastic AgentsEthanolaminesphosphorylethanolamineVitamin K 2

Identifiers

PMID26175011
PMCPMC4534331
OpenAlexW1921815079

What OpenQuestion holds

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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.