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Blood biomarkers of various dietary patterns correlated with metabolic indicators in Taiwanese type 2 diabetes.
Huang, Meng-Chuan; Chang, Chiao-I; Chang, Wen-Tsan; Liao, Yen-Ling; Chung, Hsin-Fang; Hsu, Chih-Cheng; Shin, Shyi-Jang; Lin, Kun-Der.
Afiliación
  • Huang MC; Department of Nutrition and Dietetics, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
  • Chang CI; Graduate Institute of Medicine and Department of Public Health and Environmental Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Chang WT; Graduate Institute of Medicine and Department of Public Health and Environmental Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Liao YL; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Chung HF; Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Hsu CC; Graduate Institute of Medicine and Department of Public Health and Environmental Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Shin SJ; School of Public Health, University of Queensland, Brisbane, Queensland, Australia.
  • Lin KD; Institute of Population Health Sciences, National Health Research Institutes, Zhunan , Taiwan.
Food Nutr Res ; 632019.
Article en En | MEDLINE | ID: mdl-31807124
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 (n = 871).

DESIGN:

Diabetic patients (n = 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 (P 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 P 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 P < 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Food Nutr Res Año: 2019 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Food Nutr Res Año: 2019 Tipo del documento: Article País de afiliación: Taiwán