Evidence map›Paper›PMID 32178449›Full record

ReviewInternational journal of molecular sciences2020

Excess Accumulation of Lipid Impairs Insulin Sensitivity in Skeletal Muscle.

Sung Sup Park, Young-Kyo Seo

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
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  8. Cellular and molecular mechanisms of fatty infiltration in paraspinal muscles in spine-specific sarcopenia.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  9. Article
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  15. New Horizons in Metabolic Health: Unveiling the Future of Drug Discovery and Development.Endocrine, metabolic & immune disorders drug targets · 2026
    Review
  16. Article
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  19. Article
  20. The Intersection BetweenTropical medicine and infectious disease · 2025
    Article
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.

Sung Sup ParkAging Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Young-Kyo SeoAging Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Korea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both glucose and free fatty acids (FFAs) are used as fuel sources for energy production in a living organism. Compelling evidence supports a role for excess fatty acids synthesized in intramuscular space or dietary intermediates in the regulation of skeletal muscle function. Excess FFA and lipid droplets leads to intramuscular accumulation of lipid intermediates. The resulting downregulation of the insulin signaling cascade prevents the translocation of glucose transporter to the plasma membrane and glucose uptake into skeletal muscle, leading to metabolic disorders such as type 2 diabetes. The mechanisms underlining metabolic dysfunction in skeletal muscle include accumulation of intracellular lipid derivatives from elevated plasma FFAs. This paper provides a review of the molecular mechanisms underlying insulin-related signaling pathways after excess accumulation of lipids.

Indexed as

AnimalsDiabetes Mellitus, Type 2Fatty Acids, NonesterifiedGlucoseHumansInsulinInsulin ResistanceLipidsMuscle, SkeletalSignal TransductionFatty Acids, NonesterifiedGlucoseInsulinLipidsfree fatty acidinsulin sensitivitymetabolic dysfunctionskeletal muscle

Identifiers

PMID32178449
PMCPMC7139950
OpenAlexW3012391047

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.