Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2023 Sep 1;46(9):1691-1699.
doi: 10.2337/dc23-0314.

Diet-Related Lipidomic Signatures and Changed Type 2 Diabetes Risk in a Randomized Controlled Feeding Study With Mediterranean Diet and Traditional Chinese or Transitional Diets

Affiliations
Randomized Controlled Trial

Diet-Related Lipidomic Signatures and Changed Type 2 Diabetes Risk in a Randomized Controlled Feeding Study With Mediterranean Diet and Traditional Chinese or Transitional Diets

Yaogan Luo et al. Diabetes Care. .

Abstract

Objective: Few trials studied the links of food components in different diets with their induced lipidomic changes and related metabolic outcomes. Thus, we investigated specific lipidomic signatures with habitual diets and modified diabetes risk by using a trial and a cohort.

Research design and methods: We included 231 Chinese with overweight and prediabetes in a randomized feeding trial with Mediterranean, traditional, or transitional diets (control diet) from February to September 2019. Plasma lipidomic profiles were measured at baseline, third month, and sixth month by high-throughput targeted liquid chromatography-mass spectrometry. Associations of the identified lipids with habitual dietary intakes were examined in another lipidomic database of a Chinese cohort (n = 1,117). The relationships between diet-induced changes of lipidomic species and diabetes risk factors were further investigated through both individual lipids and relevant modules in the trial.

Results: Out of 364 lipidomic species, 26 altered across groups, including 12 triglyceride (TAG) fractions, nine plasmalogens, four phosphatidylcholines (PCs), and one phosphatidylethanolamine. TAG fractions and PCs were associated with habitual fish intake while plasmalogens were associated with red meat intake in the cohort. Of the diet-related lipidomic metabolites, 10 TAG fractions and PC(16:0/22:6) were associated with improved Matsuda index (β = 0.12 to 0.42; PFDR < 0.030). Two plasmalogens were associated with deteriorated fasting glucose (β = 0.29 to 0.31; PFDR < 0.014). Similar results were observed for TAG and plasmalogen related modules.

Conclusions: These fish- and red meat-related lipidomic signatures sensitively reflected different diets and modified type 2 diabetes risk factors, critical for optimizing dietary patterns.

PubMed Disclaimer

Conflict of interest statement

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Figures

None
Graphical abstract
Figure 1
Figure 1
Lipids significantly changed between three intervention groups and their associations with food groups. (A) Heatmap of significant changes at third and sixth month of plasma lipids among three intervention groups. Changes in each group were examined by linear mixed models adjusted for age, sex, baseline BMI, and physical activity. Colors represent directions of the third- or sixth-month changes in each group (red: increase; blue: decrease). (B) Heatmap of lipids associated with food groups at NHAPC baseline. Coefficients for associations calculated by multivariate linear regression indicate the changes in lipids per SD increment in daily consumption of specific food groups. Colors represent directions of the association (red: positive; blue: inverse), while the color depth indicates the strength of associations (the darker the stronger). *P < 0.05, **P < 0.01, and ***P < 0.001 after FDR correction.

References

    1. American Diabetes Association Professional Practice Committee . 2. Classification and diagnosis of diabetes: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022;45(Suppl. 1):S17–S38 - PubMed
    1. Evert AB, Dennison M, Gardner CD, et al. . Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care 2019;42:731–754 - PMC - PubMed
    1. Li Y, Wang DD, Ley SH, et al. . Time trends of dietary and lifestyle factors and their potential impact on diabetes burden in China. Diabetes Care 2017;40:1685–1694 - PMC - PubMed
    1. Qian F, Liu G, Hu FB, Bhupathiraju SN, Sun Q. Association between plant-based dietary patterns and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA Intern Med 2019;179:1335–1344 - PMC - PubMed
    1. Luo Y, Wang J, Sun L, et al. . Isocaloric-restricted Mediterranean diet and Chinese diets high or low in plants in adults with prediabetes. J Clin Endocrinol Metab 2022;107:2216–2227 - PMC - PubMed

Publication types