Dietary Habits and Plasma Lipid Concentrations in a General Japanese Population

Overview

Journal Metabolomics

Publisher Springer

Specialty Endocrinology

Date 2024 Mar 5

PMID 38441752

Authors

Mitsuharu Sato

Eiji Hishinuma

Naomi Matsukawa

Yoshiko Shima

Daisuke Saigusa

Ikuko N Motoike

Mana Kogure

Naoki Nakaya

Atsushi Hozawa

Shinichi Kuriyama

Masayuki Yamamoto

Seizo Koshiba

Kengo Kinoshita

Affiliations

Soon will be listed here.

Abstract

Introduction: Accumulating data on the associations between food consumption and lipid composition in the body is essential for understanding the effects of dietary habits on health.

Objectives: As part of omics research in the Tohoku Medical Megabank Community-Based Cohort Study, this study sought to reveal the dietary impact on plasma lipid concentration in a Japanese population.

Methods: We conducted a correlation analysis of food consumption and plasma lipid concentrations measured using mass spectrometry, for 4032 participants in Miyagi Prefecture, Japan.

Results: Our analysis revealed 83 marked correlations between six food categories and the concentrations of plasma lipids in nine subclasses. Previously reported associations, including those between seafood consumption and omega-3 fatty acids, were validated, while those between dairy product consumption and odd-carbon-number fatty acids (odd-FAs) were validated for the first time in an Asian population. Further analysis suggested that dairy product consumption is associated with odd-FAs via sphingomyelin (SM), which suggests that SM is a carrier of odd-FAs. These results are important for understanding odd-FA metabolism with regards to dairy product consumption.

Conclusion: This study provides insight into the dietary impact on plasma lipid concentration in a Japanese population.

Citing Articles

Validity and Reproducibility of Food Group Intakes in a Self-administered Food Frequency Questionnaire for Genomic and Omics Research: The Tohoku Medical Megabank Project.

Murakami K, Ishihara J, Takachi R, Sugawara S, Aizawa M, Takahashi I J Epidemiol. 2024; 35(3):109-117.

PMID: 39098038 PMC: 11821377. DOI: 10.2188/jea.JE20240064.

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