Evidence map›Paper›PMID 38656127›Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2024

Hepatic lipid droplet-associated proteome changes distinguish dietary-induced fatty liver from glucose tolerance in male mice.

Andries Van Woerkom, Dylan J Harney, Shilpa R Nagarajan, Mariam F Hakeem-Sanni, Jinfeng Lin, Matthew Hooke, Tamara Pulpitel, Gregory J Cooney, Mark Larance, Darren N Saunders and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Ethanol reshapes FFC-driven steatohepatitis through time-dependent fibrosis and lipid-droplet remodeling.American journal of physiology. Gastrointestinal and liver physiology · 2026
    Article
  2. Article
  3. Review
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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

12 authors at 1 institution in 1 country.

Andries Van WoerkomFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Dylan J HarneyFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Shilpa R NagarajanFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Mariam F Hakeem-SanniFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Jinfeng LinFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Matthew HookeFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Tamara PulpitelFaculty of Science, School of Life and Environmental Sciences, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
Gregory J CooneyFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Mark LaranceFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Darren N SaundersFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Amanda E BrandonFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Andrew J HoyFaculty of Medicine and Health, School of Medical Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-3922-1137
The University of Sydney · AU

Funding

University of Sydney (USYD) Robinson Fellowship
6 · The paper itself

Abstract

Fatty liver is characterized by the expansion of lipid droplets (LDs) and is associated with the development of many metabolic diseases. We assessed the morphology of hepatic LDs and performed quantitative proteomics in lean, glucose-tolerant mice compared with high-fat diet (HFD) fed mice that displayed hepatic steatosis and glucose intolerance as well as high-starch diet (HStD) fed mice who exhibited similar levels of hepatic steatosis but remained glucose tolerant. Both HFD- and HStD-fed mice had more and larger LDs than Chow-fed animals. We observed striking differences in liver LD proteomes of HFD- and HStD-fed mice compared with Chow-fed mice, with fewer differences between HFD and HStD. Taking advantage of our diet strategy, we identified a fatty liver LD proteome consisting of proteins common in HFD- and HStD-fed mice, as well as a proteome associated with glucose tolerance that included proteins shared in Chow and HStD but not HFD-fed mice. Notably, glucose intolerance was associated with changes in the ratio of adipose triglyceride lipase to perilipin 5 in the LD proteome, suggesting dysregulation of neutral lipid homeostasis in glucose-intolerant fatty liver. We conclude that our novel dietary approach uncouples ectopic lipid burden from insulin resistance-associated changes in the hepatic lipid droplet proteome.

Indexed as

Diet, High-FatFatty LiverGlucose IntoleranceLipid DropletsLiverMice, Inbred C57BLProteomeAnimalsInsulin ResistanceLipid MetabolismMaleMiceProteomicsProteomefatty liverglucose tolerancelipid dropletmiceproteomics

Identifiers

PMID38656127
PMCPMC11376491
OpenAlexW4395072899

What Socratic 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 Socratic graph.