Dietary Intake and Type 2 Diabetes

Ojo, Omorogieva

doi:10.3390/nu11092177

Cited by 65 publications

(52 citation statements)

References 26 publications

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“…T2DM development depends on various genetic, environmental, socioeconomic, and lifestyle factors [ 39 ]. Genetic charge plays a vital role in this disease, thus, individuals with diabetic first-degree relatives are four to six times more likely to develop T2DM.…”

Section: Type-2 Diabetes Mellitusmentioning

confidence: 99%

“…Diet quality and a healthy lifestyle are recommended for the prevention of most chronic degenerative diseases. As already mentioned, T2DM is a metabolic condition characterized by chronic hyperglycemia and results from the interplay of nutritional, environmental, and genetic factors [ 39 ]. The role of dietary energy, macronutrients, micronutrients, and bioactive compounds in developing T2DM have been widely studied [ 80 , 81 ].…”

Section: Algal Composition Structure and Beneficial Effects On Type-2 Diabetes Mellitusmentioning

confidence: 99%

“…Therefore, clear available evidence about some will be discussed. Many observational studies have demonstrated the link between calcium consumption and a lower risk of T2DM [ 39 ]. Related to sodium and potassium, alterations of the Na + /K + -ATPase pump transport system are believed linked to various complications of T2DM [ 132 ].…”

Section: Algal Composition Structure and Beneficial Effects On Type-2 Diabetes Mellitusmentioning

confidence: 99%

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Whole Alga, Algal Extracts, and Compounds as Ingredients of Functional Foods: Composition and Action Mechanism Relationships in the Prevention and Treatment of Type-2 Diabetes Mellitus

Burgos

Macho-González

Garcimartín

et al. 2021

IJMS

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Type-2 diabetes mellitus (T2DM) is a major systemic disease which involves impaired pancreatic function and currently affects half a billion people worldwide. Diet is considered the cornerstone to reduce incidence and prevalence of this disease. Algae contains fiber, polyphenols, ω-3 PUFAs, and bioactive molecules with potential antidiabetic activity. This review delves into the applications of algae and their components in T2DM, as well as to ascertain the mechanism involved (e.g., glucose absorption, lipids metabolism, antioxidant properties, etc.). PubMed, and Google Scholar databases were used. Papers in which whole alga, algal extracts, or their isolated compounds were studied in in vitro conditions, T2DM experimental models, and humans were selected and discussed. This review also focuses on meat matrices or protein concentrate-based products in which different types of alga were included, aimed to modulate carbohydrate digestion and absorption, blood glucose, gastrointestinal neurohormones secretion, glycosylation products, and insulin resistance. As microbiota dysbiosis in T2DM and metabolic alterations in different organs are related, the review also delves on the effects of several bioactive algal compounds on the colon/microbiota-liver-pancreas-brain axis. As the responses to therapeutic diets vary dramatically among individuals due to genetic components, it seems a priority to identify major gene polymorphisms affecting potential positive effects of algal compounds on T2DM treatment.

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Section: Type-2 Diabetes Mellitusmentioning

confidence: 99%

Section: Algal Composition Structure and Beneficial Effects On Type-2 Diabetes Mellitusmentioning

confidence: 99%

Section: Algal Composition Structure and Beneficial Effects On Type-2 Diabetes Mellitusmentioning

confidence: 99%

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Whole Alga, Algal Extracts, and Compounds as Ingredients of Functional Foods: Composition and Action Mechanism Relationships in the Prevention and Treatment of Type-2 Diabetes Mellitus

Burgos

Macho-González

Garcimartín

et al. 2021

IJMS

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“…Surprisingly, our study showed that total energy intake was not correlated with glycemic variability in T1DM patients after adjusting for the potential confounders. A large number of studies have provided evidence for the relationship between energy intake and glycemic control in the diabetic population [20][21][22][23], in which caloric restriction had beneficial effects on blood glucose control [24,25]. A previous study also explored the relationship between meal timing, meal frequency, breakfast consumption habits, and glycemic control (HbA1c) in T1DM patients, who were enrolled in the Finnish Diabetic Nephropathy Study [26].…”

Section: Discussionmentioning

confidence: 99%

The Effects of Dietary Nutrition Intake on Glycemic Variability in Type 1 Diabetes Mellitus Adults

et al. 2021

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Introduction Type 1 diabetes mellitus (T1DM) is characterized by an absolute deficiency of insulin and dependence on insulin therapy. Therefore, glycemic control and management are important for T1DM patients, particularly glycemic variability, which is associated with the development of diabetic complications. However, insufficient attention has been paid to the glycemic variability in T1DM patients so far. Our objective was to identify the effects of food intake on glycemic variability in T1DM patients. Methods This was a single-center study that took place in the outpatient clinics of Peking Union Medical College Hospital. A total of 68 Chinese T1DM patients between June 2018 and June 2019 were enrolled. After the baseline demographic and clinical characteristics were evaluated, each participant underwent 14-day flash glucose monitoring (FGM). They recorded caloric intake of breakfast, lunch, and dinner at least 3 days/week using a “Menthol Health” app. After 2 weeks, we obtained the FGM data and did further data analysis. Baseline characteristics and glycemic variability index generated by FGM were compared among groups. A general linear model was used to compare data among groups after adjusting for potential confounding factors. The quantitative relationship between two continuous variables was explored by constructing a linear regression equation. Results The results showed that the C-peptide level was independently correlated with the mean of daily differences (MODD) after adjusting for the possible confounders ( β = − 0.239, p = 0.046). The dietary nutrition intake had no effect on glycemic variability. However, the nutritional composition of carbohydrate, fat, and protein was an independent risk factor for time spent in hypoglycemia (TBR) post adjustment ( β = − 0.213, p = 0.054). However, there was no impact of daily total energy intake on glycemic variability index. Conclusion In our study, dietary nutrition intake had no effect on glycemic variability, but residual β-cell function was identified as an influencing factor for glycemic variability in T1DM adults. However, nutritional macronutrient composition played some roles in the occurrence of hypoglycemia. This might provide new evidence for the clinical glycemic control and management of T1DM in the Chinese population.

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“…Em relação às concentrações eritrocitárias verifica-se que 50,77% apresentam indicativo de deficiência de selênio e 46,15% e 80,3% apresentam indicativo de excesso de zinco e manganês. A prevalência desta doença tem aumentado no mundo, em parte devido às mudanças do estilo de vida que predispõe os indivíduos à obesidade e sobrepeso (OJO, 2019). Neste presente estudo verificou-se que 90% dos pacientes apresentavam peso acima do adequado, sendo 43% sobrepeso e 47% obeso.…”

Section: Análise Estatísticaunclassified

Participação do manganês, zinco, selênio e cobre no perfil metabólico e controle glicêmico de pacientes com e sem uso de insulina

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Dietary Intake and Type 2 Diabetes

Cited by 65 publications

References 26 publications

Whole Alga, Algal Extracts, and Compounds as Ingredients of Functional Foods: Composition and Action Mechanism Relationships in the Prevention and Treatment of Type-2 Diabetes Mellitus

Whole Alga, Algal Extracts, and Compounds as Ingredients of Functional Foods: Composition and Action Mechanism Relationships in the Prevention and Treatment of Type-2 Diabetes Mellitus

The Effects of Dietary Nutrition Intake on Glycemic Variability in Type 1 Diabetes Mellitus Adults

Participação do manganês, zinco, selênio e cobre no perfil metabólico e controle glicêmico de pacientes com e sem uso de insulina

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