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Topical Area: Aging and Chronic Disease

Aging and Chronic Disease (Poster Session)

(P23-034-23) The Effect of Dietary Fiber Intake on the Metabolic Patterns of Dyslipidemia Subjects: Cross-Sectional Research Using Non-Targeted Metabolomics

Monday, July 24, 2023
12:45 PM – 1:45 PM ET
Location: Poster Board 33

    Presenting Author(s)

  • YH

    Youngmin Han, PhD (she/her/hers)

    Postdoctoral researcher
    Institute for Health Promotion, Graduate School of Public Health, Yonsei University
    Seodaemun-gu, Seoul-t'ukpyolsi, Republic of Korea

    • Co-Author(s)

  • UK

    Unchong Kim

    Institute for Health Promotion, Graduate School of Public Health, Yonsei University

  • XH

    Ximei Huang

    Department of Food and Nutrition, College of Life Science and Nano Technology, Hannam University

  • SJ

    Sun Ha Jee

    Institute for Health Promotion, Graduate School of Public Health, Yonsei University

  • MK

    Minjoo Kim

    Department of Food and Nutrition, College of Life Science and Nano Technology, Hannam University

Disclosure(s):
Youngmin Han: No relevant financial relationship(s) with ineligible companies to disclose.


Objectives: This study aims to identify the traits of dyslipidemia subjects that differ in their metabolite pattern.

Methods: Dyslipidemia (n = 73) and control (n = 80) subjects were included in the study. A non-targeted metabolomics technique was used to screen their plasma metabolites using LC/MS. We used K-means clustering to reconstitute groups based on the similarity of metabolomic patterns across all participants. With XGBoost, metabolites that significantly contributed to the new grouping were selected. Statistical analysis was conducted to analyze clinical markers demonstrating appreciable differences between groups.

Results: Dyslipidemia subjects were divided into two groups based on whether they were in a similar metabolic state as the control group (n = 24) or not (n = 56), according to K-means clustering (k = 2). The considerable contribution of four metabolites (3-hydroxybutyrylcarnitine, 2-octenal, 1,3,5-hepatatriene, and 5-cholanic acid) to this new subset of dyslipidemia individuals was confirmed (p < 0.05). Furthermore, the amount of fiber intake was significantly higher in dyslipidemia subjects whose metabolic state was similar to the control group than the group that was not (p = 0.002). Moreover, significant correlations were observed between the four metabolites and fiber intake. Regression analysis determined that the ideal cutoff for fiber intake was 17.28 g.

Conclusions: Conclusively, participants with dyslipidemia who consume dietary fiber 17.28 g or more may maintain similar metabolic patterns to healthy individuals, with substantial effects on changes in the levels of four metabolites. Our findings are expected to be applied to developing dietary guidelines for dyslipidemia patients.

Funding Sources: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (NRF-2019R1I1A2A01061731).