March 8, 2021Open Access

Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology – disclosure of fundamental structural and metabolic relationships

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Why the study?

Comprehensive lipoprotein subclass data by NMR spectroscopy are widely generated in large biobanks, but their interpretation in relation to fundamental structural and metabolic relationships needed conceptualization.

Structured PICO

Population

11,256 participants from the Northern Finland Birth Cohort 1966 (n=5,651) and 1986 (n=5,605) providing fasting serum samples

Intervention

Quantitative lipoprotein analytics by NMR spectroscopy characterizing 14 lipoprotein subclasses, clinical lipids, apolipoprotein A-I and B

Outcome

Fundamental structural and metabolic relationships between lipoprotein subclasses, including subclass particle numbers, lipid concentrations, and compositional measuressurrogate

NMR spectroscopy reveals that lipoprotein subclass particle number, rather than lipid composition, primarily defines circulating lipid concentrations, providing foundational insights for cardiometabolic risk assessment and drug development.

Discussion

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Implication

Novel NMR lipoprotein subclass data conceptualization refines metabolic understanding; leaves open clinical utility pending validation.

Cite This Study

Ala‐Korpela et al. (2021) studied this question.

synapsesocial.com/papers/6a910eb84290e6989a3608dd https://doi.org/10.1101/2021.03.08.21253123

View Full Paper

Ask AI

Bookmark

Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology – disclosure of fundamental structural and metabolic relationships

Structured PICO

Discussion

Implication

Cite This Study

Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology – disclosure of fundamental structural and metabolic relationships

Structured PICO

Discussion

Implication

Cite This Study

Also Consider

Also Consider