Cited by 53Lipid metabolism and disordersLipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Autosomal dominant familial dysbetalipoproteinemia: A pathophysiological framework and practical approach to diagnosis and therapy

Open access
Koopal, Charlotte, Marais, A. David, Westerink, Jan, Visseren, Frank L.J.·2017·Journal of Clinical Lipidology

Abstract

Familial dysbetalipoproteinemia (FD) is a genetic disorder of lipoprotein metabolism associated with an increased risk for premature cardiovascular disease. In about 10% of the cases, FD is caused by autosomal dominant mutations in the apolipoprotein E gene (APOE). This review article provides a pathophysiological framework for autosomal dominant FD (ADFD) and discusses diagnostic challenges and therapeutic options. The clinical presentation and diagnostic work-up of ADFD are illustrated by two cases: a male with premature coronary artery disease and a p.K164Q mutation in APOE and a female with mixed hyperlipidemia and a p.R154H mutation in APOE. ADFD is characterized by a fasting and postprandial mixed hyperlipidemia due to increased remnants. Remnants are hepatically cleared by the low-density lipoprotein receptor and the heparan sulfate proteoglycan receptor (HSPG-R). Development of FD is associated with secondary factors like insulin resistance that lead to HSPG-R degradation through sulfatase 2 activation. Diagnostic challenges in ADFD are related to the clinical presentation; lipid phenotype; dominant inheritance pattern; genotyping; and possible misdiagnosis as familial hypercholesterolemia. FD patients respond well to lifestyle changes and to combination therapy with statins and fibrates. To conclude, diagnosing ADFD is important to adequately treat patients and their family members. In patients presenting with mixed hyperlipidemia, (autosomal dominant) FD should be c…

Integrity signals

Registry

Crossref · 10.1016/j.jacl.2016.10.001

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Koopal, C., Marais, A. D., Westerink, J., & Visseren, F. L. J.
Affiliations
  • University Medical Center Utrecht (NL)
  • University of Cape Town (ZA)
Corresponding author
Visseren, Frank L.J.
Venue
Journal of Clinical Lipidology
Publisher
Elsevier BV
Published
2017-01
Volume
11
Issue
1
Pages
12-23.e1
ISSN
  • 1876-4789 (ISSN-L)
  • 1933-2874
OpenAlex
W2531311132
Cited by
53
References
14
Citations by year
2026: 3 · 2025: 5 · 2024: 9 · 2023: 8 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 5 · 2018: 6 · 2017: 1
FWCI
0.70
Type
journal article
Language
en
Open access
Locations
  • Journal of clinical lipidology (publishedVersion)
  • PubMed (publishedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
Funders
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
  • University of Cape Town
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
apolipoprotein E, mixed dyslipidemia, remnant lipoproteins, LDL receptor, SULF2, insulin resistance, premature coronary artery disease, statins, fibrates, genetic diagnosis
MeSH terms
Genotype, Humans, Hyperlipoproteinemia Type III, Phenotype, Heparan Sulfate Proteoglycans

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