Evidence map›Paper›PMID 29599783›Full record

ReviewFrontiers in immunology2018

Metabolic Adaptations of CD4

Cristina Dumitru, Agnieszka M Kabat, Kevin J Maloy

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. CD4Sensors (Basel, Switzerland) · 2026
    Pooled it
  2. Article
  3. Article
  4. Lifelong Exercise as a Modulator of CD4European journal of clinical investigation · 2026
    Review
  5. Article
  6. Review
  7. Article
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  9. Review
  10. Article
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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

3 authors.

Cristina DumitruSir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom.
Agnieszka M KabatMax Planck Institute of Immunobiology and Epigenetics, Freiburg im Breisgau, Germany.
Kevin J MaloySir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom.

Funding

Medical Research Council MR/N02379X/1Wellcome Trust 102972
6 · The paper itself

Abstract

A controlled and self-limiting inflammatory reaction generally results in removal of the injurious agent and repair of the damaged tissue. However, in chronic inflammation, immune responses become dysregulated and prolonged, leading to tissue destruction. The role of metabolic reprogramming in orchestrating appropriate immune responses has gained increasing attention in recent years. Proliferation and differentiation of the T cell subsets that are needed to address homeostatic imbalance is accompanied by a series of metabolic adaptations, as T cells traveling from nutrient-rich secondary lymphoid tissues to sites of inflammation experience a dramatic shift in microenvironment conditions. How T cells integrate information about the local environment, such as nutrient availability or oxygen levels, and transfer these signals to functional pathways remains to be fully understood. In this review, we discuss how distinct subsets of CD4

Indexed as

AnimalsCD4-Positive T-LymphocytesHumansInflammationinflammationmetabolismmicroenvironmentregulatory T cellsTh17 cellsTh1 cellsTh2 cellsTh cells

Identifiers

PMID29599783
PMCPMC5862799

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.