ArticleFood & nutrition research2019
Blood biomarkers of various dietary patterns correlated with metabolic indicators in Taiwanese type 2 diabetes.
Article in Food & nutrition research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Identification of blood biomarkers of a healthy dietary pattern as facilitated by cluster analysis in patients from the MEDDINI study: a pilot randomised trial.Journal of nutritional science · 2026Trial
- Abundance of Prevotella copri in gut microbiota is inversely related to a healthy diet in patients with type 2 diabetes.Journal of food and drug analysis · 2023Article
- Relationship between Nutrition, Lifestyle Habits and Laboratory Parameters in Hypertensive Patients with/without Cognitive Dysfunction.Life (Basel, Switzerland) · 2023Article
- Article
- Association between Omega-3 Index and Hyperglycemia Depending on Body Mass Index among Adults in the United States.Nutrients · 2022Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic alterations correlate with adverse outcomes in type 2 diabetes. Dietary modification serves as an integral part in its treatment.
objectiveWe examined the relationships among dietary patterns, dietary biomarkers, and metabolic indicators in type 2 diabetes (
designDiabetic patients (
resultsThree dietary patterns (high-fat meat, traditional Chinese food-snack, and fish-vegetable) were identified. Ferritin correlated positively with high-fat meat factor scores (
conclusionsFerritin 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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