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Related Experiment Video

Updated: Dec 15, 2025

Fingerprinting Cardiolipin in Leukocytes by Mass Spectrometry for a Rapid Diagnosis of Barth Syndrome
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A simplified diagnosis algorithm for dysbetalipoproteinemia.

Martine Paquette1, Sophie Bernard2, David Blank3

  • 1Genetic Dyslipidemias Clinic of the Montreal Clinical Research Institute, Québec, Canada.

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|July 8, 2020
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Summary

A new algorithm aids in diagnosing dysbetalipoproteinemia (DBL), a remnant lipoprotein disorder. This method uses simple clinical variables for accurate DBL identification, reducing misdiagnosis rates.

Keywords:
APOEApolipoprotein BDiagnosisDysbetalipoproteinemiaLipoprotein ultracentrifugationMixed dyslipidemiaNon-HDL-CRemnant lipoprotein

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Area of Science:

  • Cardiovascular Medicine
  • Clinical Biochemistry
  • Genetics

Background:

  • Dysbetalipoproteinemia (DBL) is characterized by remnant lipoprotein accumulation due to defective apolipoprotein E.
  • DBL is associated with a significant atherogenic risk.
  • Current diagnostic confusion frequently leads to misdiagnosis of DBL.

Purpose of the Study:

  • To propose a diagnostic algorithm for DBL utilizing straightforward clinical variables.
  • To improve the accuracy and reduce misdiagnosis of DBL.

Main Methods:

  • A cohort of 12,434 dyslipidemic patients was analyzed.
  • 188 DBL patients were identified based on elevated VLDL-C/triglyceride ratios and apoE2/E2 genotype.
  • APOE genotype, phenotype, and ultracentrifugation data were available for all patients.

Main Results:

  • The non-HDL-C/apoB ratio demonstrated the highest predictive value for DBL diagnosis.
  • A proposed algorithm using a non-HDL-C/apoB cut point (3.69 mmol/g) and apoE2/E2 genotype achieved high sensitivity (94.8%) and specificity (99.6%).
  • This diagnostic approach yielded an accuracy of 99.4% and an AUC of 0.97.

Conclusions:

  • A three-step diagnostic algorithm for DBL is proposed.
  • The algorithm incorporates total cholesterol, triglycerides, non-HDL-C/apoB ratio, and APOE genotype or other confirmatory tests.
  • This approach aims to provide a more accurate and reliable diagnosis of DBL.