Blood Biomarkers of Various Dietary Patterns Correlated with Metabolic Indicators in Taiwanese Type 2 Diabetes

Overview

Journal Food Nutr Res

Specialty Nutritional Sciences

Date 2019 Dec 7

PMID 31807124

Citations 4

Authors

Meng-Chuan Huang

Chiao-I Chang

Wen-Tsan Chang

Yen-Ling Liao

Hsin-Fang Chung

Chih-Cheng Hsu

Shyi-Jang Shin

Kun-Der Lin

Affiliations

Soon will be listed here.

Abstract

Background: Metabolic alterations correlate with adverse outcomes in type 2 diabetes. Dietary modification serves as an integral part in its treatment.

Objective: We examined the relationships among dietary patterns, dietary biomarkers, and metabolic indicators in type 2 diabetes ( = 871).

Design: Diabetic patients ( = 871) who provided complete clinical and dietary data in both 2008 and 2009 were selected from a cohort participating in a diabetic control study in Taiwan. Dietary data were obtained using a short, semiquantitative food frequency questionnaires, and dietary pattern identified by factor analysis. Multiple linear regressions were used to analyze the association between dietary biomarkers (ferritin, folate, and erythrocyte n-3 polyunsaturated fatty acids [n-3 PUFAs]) and metabolic control upon adjusting for confounders.

Results: Three dietary patterns (high-fat meat, traditional Chinese food-snack, and fish-vegetable) were identified. Ferritin correlated positively with high-fat meat factor scores ( for trend <0.001). Erythrocyte n-3 PUFAs (eicosapentaenoic acid [EPA] + docosahexaenoic acid [DHA], n-3/n-6 PUFA ratio) correlated positively with fish-vegetable factor scores (all for trends <0.001). Multiple linear regressions revealed a positive relationship between ferritin concentrations and fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), and triglycerides, but a negative relationship with high-density lipoprotein cholesterol (HDL-C). Erythrocyte n-3 PUFA, EPA+DHA, and n-3/n-6 PUFA ratio were negatively linked to FPG, HbA1c, and triglycerides (all < 0.05) and positively with HDL-C (though n-3/n-6 ratio marginally correlated).

Conclusions: Ferritin and n-3 PUFA can serve as valid biomarkers for high-fat meat and fish-vegetable dietary patterns. Unlike ferritin, erythrocyte n-3 PUFA status was related to better glycemic and blood lipid profiles. Our results suggest that habitual consumption of diet pattern rich in fish and vegetables may contribute in part to a healthier metabolic profile in type 2 diabetes.

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