Impact of carbohydrates, fat and energy density on energy intake

Stubbs, R. James

doi:10.1038/s41591-021-01241-9

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…The appetite control theory reveals that diets rich in nonregulated nutrients impair regulatory control of energy intake 9 . CHO are the primary macronutrient that determines energy intake in the body 10 ; ingestion of high‐glycemic‐index (GI) CHO raises postprandial insulin, which increases hunger, calorie intake, and body‐fat accumulation 11 . High GI sugar alone can contribute to metabolic diseases, 12 even with adequate levels of energy consumption 13 .…”

Section: Introductionmentioning

confidence: 99%

“…9 CHO are the primary macronutrient that determines energy intake in the body 10 ; ingestion of high-glycemic-index (GI) CHO raises postprandial insulin, which increases hunger, calorie intake, and body-fat accumulation. 11 High GI sugar alone can contribute to metabolic diseases, 12 even with adequate levels of energy consumption. 13 A high CHO diet mediates obesity-induced MetS through redox imbalance, proinflammatory signaling pathways activation, and generation of oxidative stress, in several metabolic tissues.…”

Section: Introductionmentioning

confidence: 99%

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Dietary carbohydrates: Pathogenesis and potential therapeutic targets to obesity‐associated metabolic syndrome

Akter

Akhter

Chaudhury³

et al. 2022

BioFactors

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Metabolic syndrome (MetS) is a common feature in obesity, comprising a cluster of abnormalities including abdominal fat accumulation, hyperglycemia, hyperinsulinemia, dyslipidemia, and hypertension, leading to diabetes and cardiovascular diseases (CVD). Intake of carbohydrates (CHO), particularly a sugary diet that rapidly increases blood glucose, triglycerides, and blood pressure levels is the predominant determining factor of MetS. Complex CHO, on the other hand, are a stable source of energy taking a longer time to digest. In particular, resistant starch (RS) or soluble fiber is an excellent source of prebiotics, which alter the gut microbial composition, which in turn improves metabolic control. Altering maternal CHO intake during pregnancy may result in the child developing MetS. Furthermore, lifestyle factors such as physical inactivity in combination with dietary habits may synergistically influence gene expression by modulating genetic and epigenetic regulators transforming childhood obesity into adolescent metabolic disorders. This review summarizes the common pathophysiology of MetS in connection with the nature of CHO, intrauterine nutrition, genetic predisposition, lifestyle factors, and advanced treatment approaches; it also emphasizes how dietary CHO may act as a key element in the pathogenesis and future therapeutic targets of obesity and MetS.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dietary carbohydrates: Pathogenesis and potential therapeutic targets to obesity‐associated metabolic syndrome

Akter

Akhter

Chaudhury³

et al. 2022

BioFactors

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Diet, lifestyle and gut microbiota composition among Malaysian women with gestational diabetes mellitus: a prospective cohort study

Kunasegaran,

Balasubramaniam,

Thirunavuk Arasoo

et al. 2024

Sci Rep

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The study addressed a significant gap in the profiling and understanding of the gut microbiota’s influence on Malaysian Malay women with gestational diabetes mellitus (GDM). This prospective cohort study aimed to explore the intricate relationship between gut microbiota, dietary choices, and lifestyle factors among Malay women, both with and without GDM. The research specifically focused on participants during the second (T0) and third (T1) trimesters of pregnancy in Johor Bahru, Malaysia. In Part 1 of the study, a diverse pool of pregnant women at T0 was categorized into two groups: those diagnosed with GDM and those without GDM, with a total sample size of 105 individuals. The assessments encompassed demographic, clinical, lifestyle, and dietary factors at the T0 and T1 trimesters. Part 2 of the study delved into microbiome analysis, targeting a better understanding of the gut microbiota among the participants. Stool samples were randomly collected from 50% of the individuals in each group (GDM and non-GDM) at T0 and T1. The collected samples underwent processing, and 16s rRNA metagenomic analysis was employed to study the microbial composition. The results suggested an association between elevated body weight and glucose levels, poor sleep quality, lack of physical activity, greater intake of iron and meat, and reduced fruit consumption among women with GDM compared to non-GDM groups. The microbiome analysis revealed changes in microbial composition over time, with reduced diversity observed in the GDM group during the third trimester. The genera Lactiplantibacillus, Parvibacter, Prevotellaceae UCG001, and Vagococcus positively correlated with physical activity levels in GDM women in the second trimester. Similarly, the genus Victivallis exhibited a strong positive correlation with gravida and parity. On the contrary, the genus Bacteroides and Roseburia showed a negative correlation with omega-3 polyunsaturated fatty acids (PUFAs) in women without GDM in the third trimester. The study highlighted the multifaceted nature of GDM, involving a combination of lifestyle factors, dietary choices, and changes in gut microbiota composition. The findings emphasized the importance of considering these interconnected elements in understanding and managing gestational diabetes among Malaysian Malay women. Further exploration is essential to comprehend the mechanisms underlying this relationship and develop targeted interventions for effective GDM management.

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Research Progress on Nutritional Requirements and Formulated Feeds for Siniperca: A Comprehensive Review

Peng,

Bao,

Tuo

et al. 2024

Fishes

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Siniperca species are highly valued freshwater fishes in China. In 2022, the country’s production of farmed Siniperca reached 401 kilotons. With the growing demand for high-quality aquatic products, Siniperca aquaculture offers major economic benefits and promising development prospects. However, the current reliance on live bait in Siniperca farming has resulted in resource wastage, environmental pollution, and disease outbreaks, hindering the healthy and sustainable growth of the industry. This review aims to comprehensively summarize the nutritional requirements of Siniperca in artificial farming, with a focus on proteins, amino acids, lipids, fatty acids, carbohydrates, and micronutrients. We also summarize the progress made in researching alternative protein and lipid sources, feed additives, and the development of artificially formulated feeds to replace live bait. The findings of this review will serve as a reference for further research on the nutritional requirements and development of formulated feeds for Siniperca aquaculture.

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Impact of carbohydrates, fat and energy density on energy intake

Abstract: Impact of carbohydrates, fat and energy density on energy intakePeople on low-fat, low-energy-density diets have lower ad libitum energy intake than that of those on high-fat, high-energy-density diets.

Cited by 3 publications

References 12 publications

Dietary carbohydrates: Pathogenesis and potential therapeutic targets to obesity‐associated metabolic syndrome

Dietary carbohydrates: Pathogenesis and potential therapeutic targets to obesity‐associated metabolic syndrome

Diet, lifestyle and gut microbiota composition among Malaysian women with gestational diabetes mellitus: a prospective cohort study

Research Progress on Nutritional Requirements and Formulated Feeds for Siniperca: A Comprehensive Review

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