Evidence map›Paper›PMID 27897400›Full record

ReviewJournal of cachexia, sarcopenia and muscle2017

Lipid modulation of skeletal muscle mass and function.

Christopher Lipina, Harinder S Hundal

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cachexia, sarcopenia and muscle, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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

139 citing papers in PubMed, 1 synthesis or guideline pooled it, 235 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  6. Observational
  7. Article
  8. TAK1 Regulates Skeletal Muscle Mass, Hypertrophic Signaling, and Metabolic Homeostasis in Male and Female Mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  9. Article
  10. Oleic Acid Levels in HSAInternational journal of molecular sciences · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Article
  20. Article

79 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.

Christopher LipinaDivision of Cell Signalling and Immunology, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Harinder S HundalDivision of Cell Signalling and Immunology, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
University of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of skeletal muscle mass is a characteristic feature of various pathologies including cancer, diabetes, and obesity, as well as being a general feature of ageing. However, the processes underlying its pathogenesis are not fully understood and may involve multiple factors. Importantly, there is growing evidence which supports a role for fatty acids and their derived lipid intermediates in the regulation of skeletal muscle mass and function. In this review, we discuss evidence pertaining to those pathways which are involved in the reduction, increase and/or preservation of skeletal muscle mass by such lipids under various pathological conditions, and highlight studies investigating how these processes may be influenced by dietary supplementation as well as genetic and/or pharmacological intervention.

Indexed as

Lipid MetabolismAnimalsBody CompositionHumansMuscle, SkeletalAtrophyCatabolismFatty acidLipidmTORObesitySkeletal muscle

Identifiers

PMID27897400
PMCPMC5377414
OpenAlexW2531724552

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.