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Updated: May 29, 2025

Electrochemiluminescence Assays for Human Islet Autoantibodies
Published on: March 23, 2018
Lp(a) concentration and polymorphic size are not associated with new onset diabetes in individuals with prediabetes
Maxime Carpentier1, Matthieu Wargny2, Mikaël Croyal3
1Nantes Université, CNRS, CHU Nantes, INSERM, l'institut du thorax, F-44000, Nantes, France; Department of Biochemistry, CHU Nantes, F-44000, Nantes, France.
Aim:
Observational studies in the general population suggest that low concentrations of lipoprotein (a) [Lp(a)] are associated with an increased risk of type 2 diabetes. Here, we aim to determine whether Lp(a) plasma concentration and Kringle-IV (K-IV) repeat polymorphism were associated with new-onset diabetes (NOD) in individuals with prediabetes.
Methods:
IT-DIAB is an observational, prospective study including 303 participants with impaired fasting glucose (fasting plasma glucose [FPG]: 110-125 mg/dl) followed annually for 5 years. The primary endpoint was the development of NOD, defined as a first FPG value ≥ 126 mg/dl during follow-up. Lp(a) concentrations were measured by immunoturbidimetry, apo(a) concentrations and the number of K-IV domains by mass spectrometry. Survival analyses for NOD were modeled using Kaplan-Meier curves and a multivariable Cox model, after binarization on threshold values of Lp(a) or K-IV.
Results:
Among the participants, 113 (37%) developed NOD during follow-up. The concentrations of Lp(a) and the number of K-IV domains were not significantly different according to NOD status. Similarly, the percentage of patients with a non-detectable (≤ 7 nmol/l) or elevated (>125 nmol/l) Lp(a) concentration was similar between those with or without NOD: 68.1 vs 63.7% (P = 0.46) and 8.8 vs 8.9% (P > 0.99), respectively. Kaplan-Meier curves and Cox models did not show any association between Lp(a) concentration (threshold 7 nmol/l and 125 nmol/l) or number of K-IV domain (threshold 23) and the risk of NOD.
Conclusion:
In a high-risk population, Lp(a) concentration or polymorphic size do not appear to be substantially associated with type 2 diabetes risk.
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