Circadian desynchrony and glucose metabolism

Journal of Pineal Research, Journal Year: 2024, Volume and Issue: 76(4)

Published: May 1, 2024

Abstract The circadian timing system controls glucose metabolism in a time‐of‐day dependent manner. In mammals, the consists of main central clock bilateral suprachiasmatic nucleus (SCN) anterior hypothalamus and subordinate clocks peripheral tissues. oscillations produced by these different with period approximately 24‐h are generated transcriptional‐translational feedback loops set core genes. Glucose homeostasis is one daily rhythms controlled this system. pacemaker SCN through its neural projections to hypothalamic hubs that control feeding behavior energy metabolism. Using hormones such as adrenal glucocorticoids melatonin autonomic nervous system, modulates critical processes production insulin sensitivity. Peripheral tissues, liver, muscle, adipose tissue serve enhance sustain signals. optimal situation all synchronized aligned environmental light/dark cycle. A negative impact on becomes apparent when internal disturbed, also known desynchrony or misalignment. Circadian may occur at several levels, mistiming light exposure sleep will especially affect clock, whereas food intake physical activity involve clocks. review, we summarize literature investigating how it result development resistance. addition, discuss potential strategies aimed reinstating synchrony improve sensitivity contribute prevention type 2 diabetes.

Language: Английский

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Polyphenols: Role in Modulating Immune Function and Obesity

Published: Jan. 11, 2024

Polyphenols, long-used components of medicinal plants, have drawn great interest in recent years as potential therapeutic agents because their safety, efficacy, and wide range biological effects. Approximately 74% the world's population still uses plant-based medicines, indicating ongoing significance phytochemicals for human health. The study emphasizes growing body research examining role polyphenols uncovering anti-adipogenic anti-obesity properties. Functions including phenylpropanoids, flavonoids, terpenoids, alkaloids, glycosides, phenolic acids are distinct due to changes chemical diversity, structural characteristics. This review methodically investigates mechanism how naturally occurring mediate obesity metabolic function. To this end, hormonal control hunger has inhibit pro-obesity enzymes such pancreatic lipase, promotion energy expenditure, modulation adipocytokine production. Specifically, affect insulin, a hormone that is essential regulating blood sugar, they also play part complex web factors progression obesity. explores immunomodulatory properties polyphenols, providing insight into ability improve immune effects on gut health, improving number commensal bacteria, cytokine production suppression, cell mediation, natural killer cells macrophages. Taken together, continuous studies required prudent precise mechanisms underlying polyphenols' immunomodulation. In interim, holistic approach health promotes consumption foods drinks high polyphenols. lays groundwork future developments, derivatives may provide answer urgent worldwide issues. compilation knowledge paves way discoveries global treatment pressing concerns diseases.

Language: Английский

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Polyphenols: Role in Modulating Immune Function and Obesity

Biomolecules, Journal Year: 2024, Volume and Issue: 14(2), P. 221 - 221

Published: Feb. 14, 2024

Polyphenols, long-used components of medicinal plants, have drawn great interest in recent years as potential therapeutic agents because their safety, efficacy, and wide range biological effects. Approximately 75% the world’s population still use plant-based compounds, indicating ongoing significance phytochemicals for human health. This study emphasizes growing body research investigating anti-adipogenic anti-obesity functions polyphenols. The polyphenols, including phenylpropanoids, flavonoids, terpenoids, alkaloids, glycosides, phenolic acids, are distinct due to changes chemical diversity structural characteristics. review methodically investigates mechanisms by which naturally occurring polyphenols mediate obesity metabolic function immunomodulation. To this end, hormonal control hunger has inhibit pro-obesity enzymes such pancreatic lipase, promotion energy expenditure, modulation adipocytokine production. Specifically, affect insulin, a hormone that is essential regulating blood sugar, they also play role, part, complex web factors progression obesity. explores immunomodulatory properties providing insight into ability improve immune effects on gut health, improving number commensal bacteria, cytokine production suppression, cell mediation, natural killer cells macrophages. Taken together, continuous studies required understand prudent precise underlying polyphenols’ In interim, holistic approach health promotes consumption foods drinks high lays groundwork future developments, derivatives may provide answer urgent worldwide issues. compilation knowledge paves way discoveries global treatment pressing concerns diseases.

Language: Английский

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Pomegranate (Punica granatum L.) phytochemicals target the components of metabolic syndrome

The Journal of Nutritional Biochemistry, Journal Year: 2024, Volume and Issue: 131, P. 109670 - 109670

Published: May 19, 2024

Language: Английский

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Association of impaired sensitivity to thyroid hormones with hyperuricemia through obesity in the euthyroid population

Journal of Translational Medicine, Journal Year: 2023, Volume and Issue: 21(1)

Published: July 4, 2023

Impaired sensitivity to thyroid hormones is a newly proposed clinical entity associated with hyperuricemia in the subclinical hypothyroid population. However, it unknown whether association exists euthyroid This study aimed explore of impaired (assessed by feedback quantile-based index [TFQI], parametric [PTFQI], thyrotrophic thyroxine resistance [TT4RI] and thyroid-stimulating hormone [TSHI]) quantify mediating effect body mass BMI population.This cross-sectional enrolled Chinese adults aged ≥ 20 years who participated Beijing Health Management Cohort (2008-2019). Adjusted logistic regression models were used between indices hyperuricemia. Odds ratios [OR] absolute risk differences [ARD] calculated. Mediation analyses performed estimate direct indirect effects through BMI.Of 30,857 participants, 19,031 (61.7%) male; mean (SD) age was 47.3 (13.3) years; 6,515 (21.1%) had After adjusting for confounders, individuals highest group an increased prevalence compared lowest (TFQI: OR = 1.18, 95% CI 1.04-1.35; PTFQI: 1.20, 1.05-1.36; TT4RI: 1.17, 1.08-1.27; TSHI: 1.12, 1.04-1.21). significantly mediated 32.35%, 32.29%, 39.63%, 37.68% associations TFQI, PTFQI, TT4RI TSHI hyperuricemia, respectively.Our research revealed that These findings could provide useful evidence understanding interaction suggest implications weight control terms sensitivity.

Language: Английский

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To nap or not? Evidence from a meta-analysis of cohort studies of habitual daytime napping and health outcomes

Sleep Medicine Reviews, Journal Year: 2024, Volume and Issue: 78, P. 101989 - 101989

Published: Aug. 8, 2024

Language: Английский

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Causal effects of sleep traits on metabolic syndrome and its components: a Mendelian randomization study

Sleep And Breathing, Journal Year: 2024, Volume and Issue: 28(3), P. 1423 - 1430

Published: March 20, 2024

Language: Английский

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Exploring person‐centred sleep and rest–activity cycle dynamics over 6 months

Journal of Sleep Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Summary Sleep and circadian characteristics are associated with health outcomes, but often examined cross‐sectionally or using variable‐centred analyses. Person‐centred longitudinal research is needed to identify combined effects of sleep while allowing for change over time. We aimed classify individuals into sleep‐circadian statuses (aim 1), determine whether they transitioned between time 2), explore covariates outcomes 3). Young adults ( N = 151) wore smartwatches continuously 6 months. (total time, wake after onset) rest–activity cycle indicators (interdaily stability, intradaily variability, relative amplitude) were derived from acceleration data aggregated person‐means months 1, 3, 6. These values entered a latent transition model aims 1 2. Multinomial logistic regressions, ANOVA, ANCOVA addressed aim 3. Four extracted (entropy 0.88): optimal sleepers, restless short nappers. 10%–13% sleepers 21% became nappers, 7%–18% nappers other statuses, 94%–100% remained unchanged. Males more likely than females be versus p < 0.001). Restless had physical dysfunction 0.014, 0.022), reported excessive sleepiness 0.006, 0.060). This study identified four found evidence Our person‐centred approach could help inform the development tailored diagnostic guidelines circadian‐related disorders that fluctuate within‐individuals.

Language: Английский

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A novel hybrid approach to enhancing obesity prediction

The European Physical Journal Special Topics, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Language: Английский

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Using Artificial Intelligence Techniques for the Analysis of Obesity Status According to the Individuals' Social and Physical Activities

Sinop Üniversitesi Fen Bilimleri Dergisi, Journal Year: 2024, Volume and Issue: 9(1), P. 217 - 239

Published: June 28, 2024

Obesity is a serious and chronic disease with genetic environmental interactions. It defined as an excessive amount of fat tissue in the body that harmful to health. The main risk factors for obesity include social, psychological, eating habits. significant health problem all age groups world. Currently, more than 2 billion people worldwide are obese or overweight. Research has shown can be prevented. In this study, artificial intelligence methods were used identify individuals at obesity. An online survey was conducted on 1610 create dataset. To analyze data, four commonly literature, namely Artificial Neural Network, K Nearest Neighbors, Random Forest Support Vector Machine, employed after pre-processing. As result analysis, classes predicted correctly success rates 74.96%, 74.03%, 74.03% 87.82%, respectively. most successful method dataset accurately classified rate 87.82%.

Language: Английский

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