Cited by 616Lipid metabolism and biosynthesisMetabolism and Genetic DisordersDiabetes, Cardiovascular Risks, and Lipoproteins

Acylcarnitines

Open access
Schooneman, Marieke G., Vaz, Frédéric M., Houten, Sander M., Soeters, Maarten R.·2013·Diabetes

Abstract

The incidence of obesity and insulin resistance is growing, and the increase in type 2 diabetes mellitus (DM2) constitutes one of the biggest challenges for our healthcare systems. Many theories are proposed for the induction of insulin resistance in glucose and lipid metabolism and its metabolic sequelae. One of these mechanisms is lipotoxicity (1–4): excess lipid supply and subsequent lipid accumulation in insulin-sensitive tissues such as skeletal muscle interfere with insulin-responsive metabolic pathways. Various lipid intermediates, like ceramides, gangliosides, diacylglycerol, and other metabolites, have been held responsible for insulin resistance (2,3,5–10). These intermediates can exert such effects because they are signaling molecules and building blocks of cellular membranes, which harbor the insulin receptor. In addition, lipids play an important role in energy homeostasis. Fatty acids (FA) can be metabolized via mitochondrial FA oxidation (FAO), which yields energy (11). As such, FAO competes with glucose oxidation in a process known as the glucose-FA, or Randle, cycle (12). Muoio and colleagues (1,13,14) proposed an alternative mechanism in which FAO rate outpaces the tricarboxylic acid cycle (TCA), thereby leading to the accumulation of intermediary metabolites such as acylcarnitines that may interfere with insulin sensitivity. This accumulation of acylcarnitines corroborates with some human studies showing that acylcarnitines are associated with insulin resistance (15–17). In addition, acylcarnitines have a long history in the diagnosis and neonatal screening of FAO defects and other inborn errors of metabolism (18). This knowledge may aid to understand the interaction between FAO and insulin resistance and fuel future research. In this review, we discuss the role of acylcarnitines in FAO and insulin resistance as emerging from animal and human studies. ### Carnitine biosynthesis and regulation of tissue carnitine content. To guarantee continuous energy supply, the human body oxidizes considerable amounts of fat besides glucose. …

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/db12-0466

Cites

80 of 80 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In obese individuals, impaired mitochondrial function might contribute to lower intramyocellular lipid turnover and lead to lipotoxicity.

    “In obese individuals, impaired mitochondrial function might contribute to lower IMCL turnover and lead to lipotoxicity (Schooneman et al, 2013).”

    From Mitochondrial response to nutrient availability and its role in metabolic disease (2014) · cites this paper as Schooneman et al, 2013

  • Lipid accumulation in non-adipose tissues is highly associated with insulin resistance.

    “but lipid accumulation in non-adipose tissues is also highly associated with insulin resistance (Canto & Auwerx, 2009; Corpeleijn et al, 2009; Schooneman et al, 2013).”

    From Mitochondrial response to nutrient availability and its role in metabolic disease (2014) · cites this paper as Schooneman et al, 2013

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [20]van Vlies N Ferdinandusse S Wanders RJA Vaz FM PPARalfa-activation results in enhanced carnitine biosynthesis and OCTN2 expression. Biochim Biophys Acta 1767; 11: 2007 17692817

Cited by

Sorted by citations

Authors
Schooneman, M. G., Vaz, F. M., Houten, S. M., & Soeters, M. R.
Affiliations
Amsterdam UMC Location University of Amsterdam (NL)
Corresponding author
Soeters, Maarten R.
Venue
Diabetes
Published
2012-12-13
Volume
62
Issue
1
Pages
1-8
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2037136746
Cited by
616
References
80
Citations by year
2026: 36 · 2025: 40 · 2024: 35 · 2023: 49 · 2022: 60 · 2021: 89 · 2020: 61 · 2019: 54 · 2018: 57 · 2017: 33 · 2016: 42 · 2015: 29 · 2014: 25 · 2013: 5
FWCI
1.55
Type
journal article
Language
en
Open access
Locations
  • Diabetes (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
acylcarnitines, insulin resistance, type 2 diabetes, fatty acid oxidation, lipotoxicity, carnitine biosynthesis, Randle cycle, mitochondrial bioenergetics, skeletal muscle, inborn errors of metabolism, newborn screening
MeSH terms
Animals, Carnitine, Citric Acid Cycle, Fatty Acids, Humans, Insulin Resistance, Oxidation-Reduction, Lipid Metabolism

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review