ArticleDiabetologia2021
Subcellular localisation and composition of intramuscular triacylglycerol influence insulin sensitivity in humans.
Article in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
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- Recent advances in understanding the mechanisms in skeletal muscle of interaction between exercise and frontline antihyperglycemic drugs.Physiological reports · 2024Review
- Impact of Lipids on Insulin Resistance: Insights from Human and Animal Studies.Drug design, development and therapy · 2024Review
- Intramyocellular Triglyceride Content During the Early Course of Type 1 and Type 2 Diabetes.Diabetes · 2023Article
- Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling.Scientific reports · 2023Article
- Possible Mechanisms Linking Obesity, Steroidogenesis, and Skeletal Muscle Dysfunction.Life (Basel, Switzerland) · 2023Review
- The Role of Mitochondria in Mediation of Skeletal Muscle Repair.Muscles (Basel, Switzerland) · 2023Review
- The sonographic quantitative assessment of the deltoid muscle to detect type 2 diabetes mellitus: a potential noninvasive and sensitive screening method?BMC endocrine disorders · 2022Article
- AKR1D1 knockout mice develop a sex-dependent metabolic phenotype.The Journal of endocrinology · 2022Article
- Obesity-Related Insulin Resistance: The Central Role of Adipose Tissue Dysfunction.Handbook of experimental pharmacology · 2022Article
- Sex Differences in Insulin Sensitivity are Related to Muscle Tissue Acylcarnitine But Not Subcellular Lipid Distribution.Obesity (Silver Spring, Md.) · 2021Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
aims/hypothesisSubcellular localisation is an important factor in the known impact of bioactive lipids, such as diacylglycerol and sphingolipids, on insulin sensitivity in skeletal muscle; yet, the role of localised intramuscular triacylglycerol (IMTG) is yet to be described. Excess accumulation of IMTG in skeletal muscle is associated with insulin resistance, and we hypothesised that differences in subcellular localisation and composition of IMTG would relate to metabolic health status in humans.
methodsWe evaluated subcellular localisation of IMTG in lean participants, endurance-trained athletes, individuals with obesity and individuals with type 2 diabetes using LC-MS/MS of fractionated muscle biopsies and insulin clamps.
resultsInsulin sensitivity was significantly different between each group (athletes>lean>obese>type 2 diabetes; p < 0.001). Sarcolemmal IMTG was significantly greater in individuals with obesity and type 2 diabetes compared with lean control participants and athletes, but individuals with type 2 diabetes were the only group with significantly increased saturated IMTG. Sarcolemmal IMTG was inversely related to insulin sensitivity. Nuclear IMTG was significantly greater in individuals with type 2 diabetes compared with lean control participants and athletes, and total and saturated IMTG localised in the nucleus had a significant inverse relationship with insulin sensitivity. Total cytosolic IMTG was not different between groups, but saturated cytosolic IMTG species were significantly increased in individuals with type 2 diabetes compared with all other groups. There were no significant differences between groups for IMTG concentration in the mitochondria/endoplasmic reticulum. CONCLUSIONS/
interpretationThese data reveal previously unknown differences in subcellular IMTG localisation based on metabolic health status and indicate the influence of sarcolemmal and nuclear IMTG on insulin sensitivity. Additionally, these studies suggest saturated IMTG may be uniquely deleterious for muscle insulin sensitivity. Graphical abstract.
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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.