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Nutraceuticals: a promising, yet unregulated Frontier in Healthcare
Nutraceuticals, with their potential health benefits, are increasingly being used to manage a variety of health conditions...
Effect of sorghum flour-containing pasta on postprandial glycemia, appetite and energy intake in healthy individuals
Effect of sorghum flour-containing pasta on postprandial glycemia, appetite and energy intake in healthy individuals
In vitro studies suggest that incorporating sorghum flour into staple foods including pasta reduces their starch digestibi...
Effects of 10 weeks of walking-based exercise training on resting substrate oxidation in postmenopausal women with obesity
Effects of 10 weeks of walking-based exercise training on resting substrate oxidation in postmenopausal women with obesity
Accumulating evidence supports the effectiveness of moderate-intensity aerobic training on metabolic health, with limited ...
Intake of animal and plant proteins and risk of all-cause mortality in patients with type 2 diabetes: results from NHANES
Intake of animal and plant proteins and risk of all-cause mortality in patients with type 2 diabetes: results from NHANES
There is little and inconsistent data on the relationship between protein intake and mortality in patients with type 2 dia...
Longitudinal associations between dietary diversity and serum lipid markers in Japanese workers
Longitudinal associations between dietary diversity and serum lipid markers in Japanese workers
The aim of this study was to determine the longitudinal associations between dietary diversity score and serum lipid marke...
Adherence to the Mediterranean diet and risk of anxiety and depression in people with obesity: a cross-sectional analysis
Adherence to the Mediterranean diet and risk of anxiety and depression in people with obesity: a cross-sectional analysis
Anxiety and depression are common mental disorders worldwide, in particular in people with obesity. Adherence to the Medit...
Relationship between HECTD4 gene variants, obesity, and coffee consumption
Relationship between HECTD4 gene variants, obesity, and coffee consumption
In genome-wide association studies, the HECT domain E3 ubiquitin-protein ligase 4 (HECTD4) gene was suggested to be associ...
Correction: Is there dietary macronutrient malabsorption in children with environmental enteropathy?
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which...
Caloric requirement targets for nutritional support in adult autoimmune encephalitis: a retrospective cohort study
Caloric requirement targets for nutritional support in adult autoimmune encephalitis: a retrospective cohort study
Autoimmune encephalitis (AE) is a severe neurological disease often accompanied by consciousness disturbances, severe swal...
The proportion of weight gain due to change in fat mass in infants with vs without rapid growth
The proportion of weight gain due to change in fat mass in infants with vs without rapid growth
There is extensive evidence that rapid infant weight gain increases the risk of childhood obesity, but this is normally ba...
Correction: Intestinal microbiota composition of children with glycogen storage Type I patients
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which...
Mechanisms of action of fungal polysaccharides and their therapeutic effect
Mechanisms of action of fungal polysaccharides and their therapeutic effect
The purpose of this article is to discuss the relationship between the therapeutic bioactivity of basidial fungal polysacc...
The role of dietary inflammatory index in metabolic diseases: the associations, mechanisms, and treatments
The role of dietary inflammatory index in metabolic diseases: the associations, mechanisms, and treatments
In recent years, the prevalence of metabolic diseases has increased significantly, posing a serious threat to global healt...
Machine learning algorithms: why the cup occasionally appears half-empty
The burgeoning interest in the use of machine learning (ML) algorithms for prediction has led to vigo...
Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach
Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach
The clinical care process for people with prediabetes starts with lifestyle intervention, often escalating to more intense...