Evidence map›Paper›PMID 28944771›Full record

ReviewNature reviews. Immunology2018

The spectrum of T cell metabolism in health and disease.

Glenn R Bantug, Lorenzo Galluzzi, Guido Kroemer, Christoph Hess

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 252 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
252citing papers in PubMed, 1 pooled it
–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

252 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
  9. Genome-scale perturbation signatures from primary human CD4bioRxiv : the preprint server for biology · 2026
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  17. Metabolic Reprogramming and ILC2 Plasticity in Obesity-related Asthma.Clinical reviews in allergy & immunology · 2026
    Review
  18. Article
  19. Article
  20. Review

192 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

4 authors.

Glenn R BantugImmunobiology, Department of Biomedicine, University and University Hospital of Basel, Hebelstrasse 20, Basel 4031, Switzerland.
Lorenzo GalluzziDepartment of Radiation Oncology, Weill Cornell Medical College, New York, 10065 New York, USA.
Guido KroemerUniversité Paris Descartes, Paris V, 75006 Paris, France.
Christoph HessImmunobiology, Department of Biomedicine, University and University Hospital of Basel, Hebelstrasse 20, Basel 4031, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In healthy individuals, metabolically quiescent T cells survey lymph nodes and peripheral tissues in search of cognate antigens. During infection, T cells that encounter cognate antigens are activated and - in a context-specific manner - proliferate and/or differentiate to become effector T cells. This process is accompanied by important changes in cellular metabolism (known as metabolic reprogramming). The magnitude and spectrum of metabolic reprogramming as it occurs in T cells in the context of acute infection ensure host survival. By contrast, altered T cell metabolism, and hence function, is also observed in various disease states, in which T cells actively contribute to pathology. In this Review, we introduce the idea that the spectrum of immune cell metabolic states can provide a basis for categorizing human diseases. Specifically, we first summarize the metabolic and interlinked signalling requirements of T cells responding to acute infection. We then discuss how metabolic reprogramming of T cells is linked to disease.

Indexed as

Amino AcidsAutoimmune DiseasesGlucoseHumansInfectionsInflammationLipid MetabolismLymph NodesLymphocytes, Tumor-InfiltratingMetabolic SyndromeNeoplasmsT-LymphocytesT-Lymphocyte SubsetsTumor EscapeTumor MicroenvironmentAmino AcidsGlucose

Identifiers

PMID28944771

What OpenQuestion holds

Textmetadata
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.