Artificial intelligence for diabetes care: current and future prospects

The Lancet Diabetes & Endocrinology, Год журнала: 2024, Номер 12(8), С. 569 - 595

Опубликована: Июль 23, 2024

Язык: Английский

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Towards nutrition with precision: unlocking biomarkers as dietary assessment tools

Nature Metabolism, Год журнала: 2024, Номер 6(8), С. 1438 - 1453

Опубликована: Июль 2, 2024

Язык: Английский

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Prognostic nutritional index as a risk factor for diabetic kidney disease and mortality in patients with type 2 diabetes mellitus

Acta Diabetologica, Год журнала: 2022, Номер 60(2), С. 235 - 245

Опубликована: Ноя. 2, 2022

Язык: Английский

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Embracing complexity: making sense of diet, nutrition, obesity and type 2 diabetes

Diabetologia, Год журнала: 2023, Номер 66(5), С. 786 - 799

Опубликована: Фев. 14, 2023

Abstract Nutrition therapy has been emphasised for decades people with type 2 diabetes, and the vital importance of diet nutrition is now also recognised diabetes prevention. However, complexity mixed messages on what unhealthy, healthy or optimal have led to confusion among their physicians as well general public. What should eat prevention, management remission diabetes? Recently, progress made in research evidence that advanced our understanding several areas past uncertainty. This article examines some these issues, focusing role weight prevention diabetes. It considers nutritional strategies including low-energy, low-fat low-carbohydrate diets, discusses inter-relationships between nutrients, foods dietary patterns, aspects quantity quality together new developments, challenges future directions. Graphical abstract

Язык: Английский

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Integrating Expertise in LLMs: Crafting a Customized Nutrition Assistant with Refined Template Instructions

Опубликована: Май 11, 2024

Large Language Models (LLMs) have the potential to contribute fields of nutrition and dietetics in generating food product explanations that facilitate informed selections. However, extent which these models offer effective accurate information remains unverified. In collaboration with registered dietitians (RDs), we evaluate strengths weaknesses LLMs providing personalized information. Through a mixed-methods approach, RDs validated GPT-4 outputs at various levels prompt specificity, led development design guidelines used for We tested by creating GPT prototype, The Food Product Nutrition Assistant, tailored explanations. This prototype was refined evaluated focus groups RDs. find implementation dietitian-reviewed template instructions enhance generation detailed descriptions

Язык: Английский

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Microalgal metabolic engineering facilitates precision nutrition and dietary regulation

The Science of The Total Environment, Год журнала: 2024, Номер 951, С. 175460 - 175460

Опубликована: Авг. 11, 2024

Язык: Английский

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Dietary intervention improves metabolic levels in patients with type 2 diabetes through the gut microbiota: a systematic review and meta-analysis

Frontiers in Nutrition, Год журнала: 2024, Номер 10

Опубликована: Янв. 8, 2024

Background Poor dietary structure plays a pivotal role in the development and progression of type 2 diabetes is closely associated with dysbiosis gut microbiota. Thus, objective this systematic review was to assess impact interventions on improving microbiota metabolic levels patients diabetes. Methods We conducted meta-analysis following PRISMA 2020 guidelines. Results Twelve studies met inclusion criteria. In comparison baseline measurements, high-fiber diet produced substantial reductions FBG (mean difference −1.15 mmol/L; 95% CI, −2.24 −0.05; I = 94%; P 0.04), HbA1c −0.99%; −1.93 −0.03; 89%; total cholesterol −0.95 −1.57 −0.33; 77%; 0.003); high–fat low–carbohydrate led significant reduction −0.98; −1.50 −0.46; 0%; 0.0002). Within experimental group (intervention diets), −0.69 −1.27 −0.10; 52%; 0.02) LDL-C −0.45 −0.68 −0.22; < 0.0001) experienced control (recommended diets for diabetes). However, no statistically differences emerged case FBG, HbA1c, HOMA-IR, HDL-C between groups. The high fiber triggered an augmented presence short-chain fatty acid-producing bacteria intestines individuals T2DM. addition, high-fat low-carbohydrate resulted notable decrease Bacteroides abundance while simultaneously increasing relative Eubacterium. Compared specific pattern, personalized appear result production greater variety beneficial gut, leading more effective blood glucose T2D patients. Conclusion Dietary hold promise enhancing profiles through modulation Tailored regimens be than standard metabolism. given limited highly heterogeneous nature current sample size, further well-designed controlled intervention are warranted future.

Язык: Английский

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Selenium in Bodily Homeostasis: Hypothalamus, Hormones, and Highways of Communication

International Journal of Molecular Sciences, Год журнала: 2022, Номер 23(23), С. 15445 - 15445

Опубликована: Дек. 6, 2022

The ability of the body to maintain homeostasis requires constant communication between brain and peripheral tissues. Different organs produce signals, often in form hormones, which are detected by hypothalamus. In response, hypothalamus alters its regulation bodily processes, is achieved through own pathways hormonal communication. generation transmission molecules involved these bi-directional axes can be affected redox balance. essential trace element selenium known influence numerous physiological including energy homeostasis, various functions. Selenium must obtained diet used synthesize selenoproteins, a family proteins with mainly antioxidant Alterations status have been correlated homeostatic disturbances humans studies animal models selenoprotein dysfunction indicate strong on relationship metabolism complicated, however, as has shown participate multiple levels This review discusses role that for maintaining homeostasis.

Язык: Английский

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Utilising the precision nutrition toolkit in the path towards precision medicine

Proceedings of The Nutrition Society, Год журнала: 2023, Номер 82(3), С. 359 - 369

Опубликована: Июнь 7, 2023

The overall aim of precision nutrition is to replace the ‘one size fits all’ approach dietary advice with recommendations that are more specific individual in order improve prevention or management chronic disease. Interest has grown advancements technologies such as genomics, proteomics, metabolomics and measurement gut microbiome. Precision initiatives have three major applications medicine. First, they provide ‘precision’ assessments through artificial intelligence, wearable devices by employing omic characterise diet precisely. Secondly, allows us understand underlying mechanisms how influences disease risk identify individuals who susceptible due gene–diet microbiota–diet interactions. Third, can be used for ‘personalised nutrition’ where machine-learning algorithms integrate data from profiles other personal clinical measures risk. Proteomics especially ability discover new biomarkers food nutrient intake, proteomic metabolomic signatures disease, potential diet–disease Although there several challenges must overcome reproducibility, cost-effectiveness efficacy these approaches, methodologies great research application.

Язык: Английский

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Association of dietary patterns with diabetes-related comorbidities varies among diabetes endotypes

Nutrition Metabolism and Cardiovascular Diseases, Год журнала: 2024, Номер 34(4), С. 911 - 924

Опубликована: Янв. 5, 2024

Background and Aims Differences of dietary pattern adherence across the novel diabetes endotypes are unknown. This study assessed to pre-specified patterns their associations with cardiovascular risk factors, kidney function, neuropathy among endotypes. Methods Results The cross-sectional analysis included 765 individuals recent-onset (67%) prevalent (33%) from German Diabetes Study (GDS) allocated into severe autoimmune (SAID, 35%), insulin-deficient (SIDD, 3%), insulin-resistant (SIRD, 5%), mild obesity-related (MOD, 28%), age-related (MARD, 29%). Adherence a Mediterranean diet score (MDS), Dietary Approaches Stop Hypertension (DASH) score, overall plant-based (PDI), healthful (hPDI) unhealthful index (uPDI) was derived food frequency questionnaire associated using multivariable linear regression analysis. in between were generalized mixed models. People MARD showed highest, those SIDD MOD lowest hPDI. MDS, DASH, PDI, hPDI inversely high-sensitivity C-reactive protein (hsCRP) people (ß (95%CI): -9.18% (-15.61; -2.26); -13.61% (-24.17; -1.58); -19.15% (-34.28; -0.53); -16.10% (-28.81; -1.12), respectively). PDIs LDL cholesterol SAID, SIRD, MOD. Conclusions Minor differences (in particular for hPDI) markers diabetes-related complications (e.g. hsCRP) observed So far, evidence is insufficient derive endotype-specific recommendations. Trial registration Clinicaltrials.gov: NCT01055093.

Язык: Английский

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