Evidence map›Paper›PMID 22735334›Full record

ArticleMolecular systems biology2012

Model-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation.

Aarash Bordbar, Monica L Mo, Ernesto S Nakayasu, Alexandra C Schrimpe-Rutledge, Young-Mo Kim, Thomas O Metz, Marcus B Jones, Bryan C Frank, Richard D Smith, Scott N Peterson and 3 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Systems-based approaches to study immunometabolism.Cellular & molecular immunology · 2022
    Review

31 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

13 authors.

Aarash BordbarDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093-0412, USA.
Monica L Mo
Ernesto S Nakayasu
Alexandra C Schrimpe-Rutledge
Young-Mo Kim
Thomas O Metz
Marcus B Jones
Bryan C Frank
Richard D Smith
Scott N Peterson
Daniel R Hyduke
Joshua N Adkins
Bernhard O Palsson

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
Network-based Analysis of Kinetics and RegulationR01GM068837 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2003 to 2012
$2.4M
SURFACE CHEMISTRY OF MYCOBACTERIAR01AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1989 to 1989
–
SURFACE CHEMISTRY OF MYCOBACTERIAR22AI008401 · NIAID · NATIONAL JEWISH HEALTH · PI GOREN, MAYER B. · 1985 to 1989
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NCRR NIH HHS P41 RR018522NCRR NIH HHS RR018522NIAID NIH HHS Y01 AI008401NIAID NIH HHS Y1-AI-8401-01NIGMS NIH HHS GM068837NIGMS NIH HHS R01 GM068837
6 · The paper itself

Abstract

Macrophages are central players in immune response, manifesting divergent phenotypes to control inflammation and innate immunity through release of cytokines and other signaling factors. Recently, the focus on metabolism has been reemphasized as critical signaling and regulatory pathways of human pathophysiology, ranging from cancer to aging, often converge on metabolic responses. Here, we used genome-scale modeling and multi-omics (transcriptomics, proteomics, and metabolomics) analysis to assess metabolic features that are critical for macrophage activation. We constructed a genome-scale metabolic network for the RAW 264.7 cell line to determine metabolic modulators of activation. Metabolites well-known to be associated with immunoactivation (glucose and arginine) and immunosuppression (tryptophan and vitamin D3) were among the most critical effectors. Intracellular metabolic mechanisms were assessed, identifying a suppressive role for de-novo nucleotide synthesis. Finally, underlying metabolic mechanisms of macrophage activation are identified by analyzing multi-omic data obtained from LPS-stimulated RAW cells in the context of our flux-based predictions. Our study demonstrates metabolism's role in regulating activation may be greater than previously anticipated and elucidates underlying connections between activation and metabolic effectors.

Indexed as

Adenosine TriphosphateAnimalsCell Line, TumorGlutamineImmunologic FactorsLeukemiaMacrophage ActivationMetabolic Networks and PathwaysMetabolomicsMiceModels, BiologicalNitric OxideProteomicsTranscriptomeAdenosine TriphosphateGlutamineImmunologic FactorsNitric Oxide

Identifiers

PMID22735334
PMCPMC3397418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.