Evidence map›Paper›PMID 31890207›Full record

ReviewClinical & translational immunology2019

Fat for fuel: lipid metabolism in haematopoiesis.

Gerard Pernes, Michelle C Flynn, Graeme I Lancaster, Andrew J Murphy

Open access · goldAbstract readReview
In one paragraph

Review in Clinical & translational immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  9. Hematopoietic stem cell metabolism within the bone marrow niche - insights and opportunities.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  10. Bone marrow adipocytes: key players in vascular niches, aging, and disease.Frontiers in cell and developmental biology · 2025
    Review
  11. Article
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  13. Review
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  15. 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

4 authors at 2 institutions in 1 country.

Gerard PernesHaematopoiesis and Leukocyte Biology Baker Heart and Diabetes Institute Melbourne VIC Australia.
Michelle C FlynnHaematopoiesis and Leukocyte Biology Baker Heart and Diabetes Institute Melbourne VIC Australia.
Graeme I LancasterHaematopoiesis and Leukocyte Biology Baker Heart and Diabetes Institute Melbourne VIC Australia.
Andrew J MurphyHaematopoiesis and Leukocyte Biology Baker Heart and Diabetes Institute Melbourne VIC Australia.
Monash University · AUBaker Heart and Diabetes Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of metabolic regulation in the immune system has launched back into the limelight in recent years. Various metabolic pathways have been examined in the context of their contribution to maintaining immune cell homeostasis and function. Moreover, this regulation is also important in the immune cell precursors, where metabolism controls their maintenance and cell fate. This review will discuss lipid metabolism in the context of haematopoiesis, that is blood cell development. We specifically focus on nonoxidative lipid metabolism which encapsulates the synthesis and degradation of the major lipid classes such as phospholipids, sphingolipids and sterols. We will also discuss how these metabolic processes are affected by haematological malignancies such as leukaemia and lymphoma, which are known to have altered metabolism, and how these different pathways contribute to the pathology.

Indexed as

cellular metabolismhaematopoiesislipid metabolism

Identifiers

PMID31890207
PMCPMC6928762
OpenAlexW2997020475

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.