Evidence map›Paper›PMID 25326656›Full record

ReviewReviews in endocrine & metabolic disorders2014

Skeletal muscle glucose metabolism and inflammation in the development of the metabolic syndrome.

André Marette, Ying Liu, Gary Sweeney

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 53 citations in OpenAlex.

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  7. The Metabolic Syndrome, a Human Disease.International journal of molecular sciences · 2024
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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 at 2 institutions in 1 country.

André MaretteDepartment of Medicine, Faculty of Medicine and Heart and Lung Institute, Laval University, Québec, QC, Canada, andre.marette@criucpq.ulaval.ca.
Ying Liu
Gary Sweeney
York University · CAUniversité Laval · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Insulin resistance and metabolic dysfunction in skeletal muscle play a major role in the development of the metabolic syndrome and type 2 diabetes. Numerous mechanisms have been proposed to explain the pathophysiology of obesity-linked metabolic dysfunction and this review will focus on the contributing role of adiponectin and inflammation. The beneficial effects of adiponectin on both insulin action and inflammation are now well documented and will be reviewed. More recent work provided new insights into adiponectin signaling mechanisms. The development of strategies to mimic adiponectin action holds promise that adiponectin-based compounds may translate into effective therapeutic applications. We will also discussed the novel role of long chain ω-3 PUFA-derived resolution mediators, which in addition to resolving inflammation, can also exert glucoregulatory effects in models of obesity and insulin resistance. We will focus on one resolution mediator, protectin DX (PDX), which was recently shown to act as a muscle interleukin-6 secretagogue. PDX and its isomer PD1 also enhance adiponectin expression and action. Ultimately, it is via a better understanding the molecular mechanisms of action via which inflammation, insulin resistance and metabolic dysfunction occur in skeletal muscle, and also how they crosstalk with each other, that we can generate new and improved therapies for obesity-linked metabolic complications.

Indexed as

GlucoseHumansInflammationInsulin ResistanceMetabolic SyndromeMuscle, SkeletalGlucose

Identifiers

PMID25326656
OpenAlexW2074175807

What OpenQuestion holds

Textmetadata
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.