Evidence map›Paper›PMID 23601682›Full record

ReviewImmunity2013

Metabolic pathways in immune cell activation and quiescence.

Erika L Pearce, Edward J Pearce

Abstract readReview
In one paragraph

Review in Immunity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,014 papers.

0numbers the graph read from it
0cells of the map it votes in
1,014citing papers in PubMed
34.2field-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

1,014 citing papers in PubMed, 1,608 citations in OpenAlex.

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  15. Innate immunity: current understandings and future perspectives.Signal transduction and targeted therapy · 2026
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954 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 1 institution in 1 country.

Erika L PearceDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA. erikapearce@path.wustl.edu
Edward J Pearce
Washington University in St. Louis · US

Funding

Metabolic Regulation of CD8 T Cell Memory DevelopmentR01AI091965 · NIAID · WASHINGTON UNIVERSITY · PI PEARCE, ERIKA L · 2011 to 2015
$1.9M
MANIPULATING DENDRITIC CELL METABOLISM TO PROMOTE CANCER IMMUNITYR01CA164062 · NCI · WASHINGTON UNIVERSITY · PI PEARCE, EDWARD J. · 2012 to 2016
$1.7M
Targeting mTOR for Immunity to CancerR21CA158823 · NCI · WASHINGTON UNIVERSITY · PI PEARCE, ERIKA L · 2011 to 2012
$411k
NCI NIH HHS R01 CA164062NCI NIH HHS R21 CA158823NIAID NIH HHS R01 AI091965
6 · The paper itself

Abstract

Studies of immune system metabolism ("immunometabolism") segregate along two paths. The first investigates the effects of immune cells on organs that regulate whole-body metabolism, such as adipose tissue and liver. The second explores the role of metabolic pathways within immune cells and how this regulates immune response outcome. Distinct metabolic pathways diverge and converge at many levels, and, therefore, cells face choices as to how to achieve their metabolic goals. There is interest in fully understanding how and why immune cells commit to particular metabolic fates and in elucidating the immunologic consequences of reaching a metabolic endpoint by one pathway versus another. This is particularly intriguing, given that metabolic commitment is influenced not only by substrate availability but also by signaling pathways elicited by metabolites. Thus, metabolic choices in cells enforce fate and function, and this area will be the subject of this review.

Indexed as

Metabolic Networks and PathwaysAnimalsB-LymphocytesCell SurvivalCellular MicroenvironmentHumansImmune SystemImmunityLymphocyte ActivationT-Lymphocytes

Identifiers

PMID23601682
PMCPMC3654249
OpenAlexW1996235861

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.