Evidence map›Paper›PMID 22424225›Full record

ReviewCell2012

Cellular metabolism and disease: what do metabolic outliers teach us?

Ralph J DeBerardinis, Craig B Thompson

Open access · bronzeAbstract readReview
In one paragraph

Review in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 461 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
461citing papers in PubMed, 1 pooled it
23.9field-weighted citation impact, top 1% 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

461 citing papers in PubMed, 1 synthesis or guideline pooled it, 846 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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  11. Article
  12. Linking cellular metabolism to chromatin modifications in plants.Journal of integrative plant biology · 2026
    Review
  13. Article
  14. Review
  15. Metabolic Redox Modulation byMolecules (Basel, Switzerland) · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

401 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Ralph J DeBerardinisChildren's Research Institute, Department of Pediatrics and McDermott Center for Human Growth and Development, University of Texas-Southwestern Medical Center, Dallas, TX 75390-8502, USA. ralph.deberardinis@utsouthwestern.edu
Craig B Thompson
Memorial Sloan Kettering Cancer Center · USSouthwestern Medical Center · US

Funding

Cancer cell survival during factor deprivationR01CA105463 · NCI · UNIVERSITY OF PENNSYLVANIA · PI THOMPSON, CRAIG B · 2004 to 2013
$3.2M
METABOLIC REGULATORS OF TUMOR CELL GROWTHR01CA157996 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI DEBERARDINIS, RALPH J · 2011 to 2017
$2.2M
NCI NIH HHS 1R01 CA157996NCI NIH HHS R01 CA105463NCI NIH HHS R01 CA157996
6 · The paper itself

Abstract

An understanding of metabolic pathways based solely on biochemistry textbooks would underestimate the pervasive role of metabolism in essentially every aspect of biology. It is evident from recent work that many human diseases involve abnormal metabolic states--often genetically programmed--that perturb normal physiology and lead to severe tissue dysfunction. Understanding these metabolic outliers is now a crucial frontier in disease-oriented research. This Review discusses the broad impact of metabolism in cellular function and how modern concepts of metabolism can inform our understanding of common diseases like cancer and also considers the prospects of developing new metabolic approaches to disease treatment.

Indexed as

Metabolic Networks and PathwaysAnimalsHumansMetabolic DiseasesNeoplasms

Identifiers

PMID22424225
PMCPMC3337773
OpenAlexW2162790428

What OpenQuestion holds

Textmetadata
LicenceTDM
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.