Cited by 708Diabetes, Cardiovascular Risks, and LipoproteinsLipid metabolism and disordersLipoproteins and Cardiovascular Health

Pathophysiology of diabetic dyslipidaemia: where are we?

Open access
Vergès, Bruno·2015·Diabetologia

Abstract

Cardiovascular disease is a major cause of morbidity and mortality in patients with type 2 diabetes mellitus, with a two- to fourfold increase in cardiovascular disease risk compared with non-diabetic individuals. Abnormalities in lipid metabolism that are observed in the context of type 2 diabetes are among the major factors contributing to an increased cardiovascular risk. Diabetic dyslipidaemia includes not only quantitative lipoprotein abnormalities, but also qualitative and kinetic abnormalities that, together, result in a shift towards a more atherogenic lipid profile. The primary quantitative lipoprotein abnormalities are increased triacylglycerol (triglyceride) levels and decreased HDL-cholesterol levels. Qualitative lipoprotein abnormalities include an increase in large, very low-density lipoprotein subfraction 1 (VLDL1) and small, dense LDLs, as well as increased triacylglycerol content of LDL and HDL, glycation of apolipoproteins and increased susceptibility of LDL to oxidation. The main kinetic abnormalities are increased VLDL1 production, decreased VLDL catabolism and increased HDL catabolism. In addition, even though LDL-cholesterol levels are typically normal in patients with type 2 diabetes, LDL particles show reduced turnover, which is potentially atherogenic. Although the pathophysiology of diabetic dyslipidaemia is not fully understood, the insulin resistance and relative insulin deficiency observed in patients with type 2 diabetes are likely to contribute to these lipid changes, as insulin plays an important role in regulating lipid metabolism. In addition, some adipocytokines, such as adiponectin or retinol-binding protein 4, may also contribute to the development of dyslipidaemia in patients with type 2 diabetes.

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 · 10.1007/s00125-015-3525-8

Cites

12 of 12 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?

  • Typical type 2 diabetes lipid abnormalities include hypertriglyceridemia that promotes small dense LDL particles, reduced HDL cholesterol from enhanced catabolism, and a predominance of large VLDL particles from a synthesis-catabolism imbalance.

    “Typical lipid anomalies in T2DM include hypertriglyceridemia, which promotes the presence of small, dense low-density lipoprotein (LDL) particles; reduced levels of high-density lipoprotein cholesterol caused by enhanced high-density lipoprotein cholesterol catabolism; and a predominance of large very LDL particles resulting from a synthesis-catabolism imbalance.100”
  • LDL cholesterol levels in type 2 diabetes are often similar to those without diabetes, but hypertriglyceridemia promotes LDL oxidation and hyperglycemia drives LDL glycation, making LDL more atherogenic.

    “LDL cholesterol (LDL-C) levels in individuals with T2DM are often similar to those in individuals without T2DM, but the persistent hypertriglyceridemic state promotes LDL oxidation, and the concurrent hyperglycemia drives LDL glycation, all of which increase the atherogenicity of the LDL particles in T2DM.100”

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

Cited by

Sorted by citations

Authors
Vergès, B.
Affiliations
CHU Dijon Bourgogne (FR)
Corresponding author
Vergès, Bruno
Venue
Diabetologia
Published
2015-03-01
Volume
58
Issue
5
Pages
886-899
ISSN
  • 0012-186X (ISSN-L)
  • 1432-0428
OpenAlex
W2104005551
Cited by
708
References
12
Citations by year
2026: 47 · 2025: 70 · 2024: 78 · 2023: 81 · 2022: 76 · 2021: 87 · 2020: 76 · 2019: 70 · 2018: 60 · 2017: 39 · 2016: 18 · 2015: 5
FWCI
6.15
Type
journal article
Language
en
Open access
Locations
  • Diabetologia (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
Keywords
diabetic dyslipidemia, type 2 diabetes, cardiovascular risk, lipid metabolism, atherogenic lipid profile, HDL cholesterol, VLDL1, small dense LDL, LDL oxidation, lipoprotein kinetics, insulin resistance, adiponectin, retinol-binding protein 4, adipokines
MeSH terms
Cardiovascular Diseases, Diabetes Mellitus, Type 2, Humans, Lipids, Dyslipidemias

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