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  1. Article ; Online: Dietary impact on fasting and stimulated GLP-1 secretion in different metabolic conditions - a narrative review.

    Huber, Hanna / Schieren, Alina / Holst, Jens Juul / Simon, Marie-Christine

    The American journal of clinical nutrition

    2024  Volume 119, Issue 3, Page(s) 599–627

    Abstract: Glucagon-like peptide 1 (GLP-1), a gastrointestinal peptide and central mediator of glucose metabolism, is secreted by L cells in the intestine in response to food intake. Postprandial secretion of GLP-1 is triggered by nutrient-sensing via transporters ... ...

    Abstract Glucagon-like peptide 1 (GLP-1), a gastrointestinal peptide and central mediator of glucose metabolism, is secreted by L cells in the intestine in response to food intake. Postprandial secretion of GLP-1 is triggered by nutrient-sensing via transporters and G-protein-coupled receptors (GPCRs). GLP-1 secretion may be lower in adults with obesity/overweight (OW) or type 2 diabetes mellitus (T2DM) than in those with normal glucose tolerance (NGT), but these findings are inconsistent. Because of the actions of GLP-1 on stimulating insulin secretion and promoting weight loss, GLP-1 and its analogs are used in pharmacologic preparations for the treatment of T2DM. However, physiologically stimulated GLP-1 secretion through the diet might be a preventive or synergistic method for improving glucose metabolism in individuals who are OW, or have impaired glucose tolerance (IGT) or T2DM. This narrative review focuses on fasting and postprandial GLP-1 secretion in individuals with different metabolic conditions and degrees of glucose intolerance. Further, the influence of relevant diet-related factors (e.g., specific diets, meal composition, and size, phytochemical content, and gut microbiome) that could affect fasting and postprandial GLP-1 secretion are discussed. Some studies showed diminished glucose- or meal-stimulated GLP-1 response in participants with T2DM, IGT, or OW compared with those with NGT, whereas other studies have reported an elevated or unchanged GLP-1 response in T2DM or IGT. Meal composition, especially the relationship between macronutrients and interventions targeting the microbiome can impact postprandial GLP-1 secretion, although it is not clear which macronutrients are strong stimulants of GLP-1. Moreover, glucose tolerance, antidiabetic treatment, grade of overweight/obesity, and sex were important factors influencing GLP-1 secretion. The results presented in this review highlight the potential of nutritional and physiologic stimulation of GLP-1 secretion. Further research on fasting and postprandial GLP-1 concentrations and the resulting metabolic consequences under different metabolic conditions is needed.
    MeSH term(s) Adult ; Humans ; Glucagon-Like Peptide 1/metabolism ; Diabetes Mellitus, Type 2/metabolism ; Glucose Tolerance Test ; Insulin/metabolism ; Blood Glucose/metabolism ; Overweight ; Diet ; Fasting ; Glucose Intolerance/metabolism ; Obesity ; Postprandial Period/physiology
    Chemical Substances Glucagon-Like Peptide 1 (89750-14-1) ; Insulin ; Blood Glucose
    Language English
    Publishing date 2024-01-11
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 280048-2
    ISSN 1938-3207 ; 0002-9165
    ISSN (online) 1938-3207
    ISSN 0002-9165
    DOI 10.1016/j.ajcnut.2024.01.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Impact of Physiological Fluctuations of Sex Hormones During the Menstrual Cycle on Glucose Metabolism and the Gut Microbiota.

    Schieren, Alina / Koch, Sandra / Pecht, Tal / Simon, Marie-Christine

    Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association

    2024  Volume 132, Issue 5, Page(s) 267–278

    Abstract: Diabetes mellitus is one of the most prevalent chronic diseases. Previous studies have shown differences in glucose metabolism between males and females. Moreover, difficulties in medication adherence have been reported in females with type 2 diabetes. ... ...

    Abstract Diabetes mellitus is one of the most prevalent chronic diseases. Previous studies have shown differences in glucose metabolism between males and females. Moreover, difficulties in medication adherence have been reported in females with type 2 diabetes. These observations are believed to be caused by fluctuations in sex hormone concentrations during the menstrual cycle. Furthermore, gut microbiota is linked to female host metabolism and sex hormone production. Understanding the interactions between fluctuating hormone concentrations during the menstrual cycle, gut microbiota, and glucose metabolism in humans is significant because of the increasing prevalence of diabetes and the consequent need to expand preventive efforts. A literature search was performed to determine and summarize the existing evidence, deduce future research needs to maintain female health, and investigate the relationship between the physiological menstrual cycle and glucose metabolism. Studies from 1967 to 2020 have already examined the relationship between variations during the menstrual cycle and glucose metabolism in healthy female subjects using an oral-glucose tolerance test or intravenous glucose tolerance test. However, the overall number of studies is rather small and the results are contradictory, as some studies detected differences in glucose concentrations depending on the different cycle phases, whereas others did not. Some studies reported lower glucose levels in the follicular phase than in the luteal phase, whereas another study detected the opposite. Data on gut microbiota in relation to the menstrual cycle are limited. Conflicting results exist when examining the effect of hormonal contraceptives on the gut microbiota and changes in the course of the menstrual cycle. The results indicate that the menstrual cycle, especially fluctuating sex hormones, might impact the gut microbiota composition.The menstrual cycle may affect the gut microbiota composition and glucose metabolism. These results indicate that glucose tolerance may be the greatest in the follicular phase; however, further well-conducted studies are needed to support this assumption.
    MeSH term(s) Humans ; Gastrointestinal Microbiome/physiology ; Female ; Menstrual Cycle/physiology ; Menstrual Cycle/metabolism ; Gonadal Steroid Hormones/metabolism ; Gonadal Steroid Hormones/blood ; Glucose/metabolism ; Blood Glucose/metabolism
    Chemical Substances Gonadal Steroid Hormones ; Glucose (IY9XDZ35W2) ; Blood Glucose
    Language English
    Publishing date 2024-02-21
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1225416-2
    ISSN 1439-3646 ; 0947-7349
    ISSN (online) 1439-3646
    ISSN 0947-7349
    DOI 10.1055/a-2273-5602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: [No title information]

    Schieren, Alina / Koch, Sandra / Pecht, Tal / Simon, Marie-Christine

    Experimental and Clinical Endocrinology & Diabetes

    2024  

    Abstract: Diabetes mellitus is one of the most prevalent chronic diseases. Previous studies have shown differences in glucose metabolism between males and females. Moreover, difficulties in medication adherence have been ... ...

    Abstract Diabetes mellitus is one of the most prevalent chronic diseases. Previous studies have shown differences in glucose metabolism between males and females. Moreover, difficulties in medication adherence have been reported in females with type 2 diabetes. These observations are believed to be caused by fluctuations in sex hormone concentrations during the menstrual cycle. Furthermore, gut microbiota is linked to female host metabolism and sex hormone production. Understanding the interactions between fluctuating hormone concentrations during the menstrual cycle, gut microbiota, and glucose metabolism in humans is significant because of the increasing prevalence of diabetes and the consequent need to expand preventive efforts. A literature search was performed to determine and summarize the existing evidence, deduce future research needs to maintain female health, and investigate the relationship between the physiological menstrual cycle and glucose metabolism. Studies from 1967 to 2020 have already examined the relationship between variations during the menstrual cycle and glucose metabolism in healthy female subjects using an oral-glucose tolerance test or intravenous glucose tolerance test. However, the overall number of studies is rather small and the results are contradictory, as some studies detected differences in glucose concentrations depending on the different cycle phases, whereas others did not. Some studies reported lower glucose levels in the follicular phase than in the luteal phase, whereas another study detected the opposite. Data on gut microbiota in relation to the menstrual cycle are limited. Conflicting results exist when examining the effect of hormonal contraceptives on the gut microbiota and changes in the course of the menstrual cycle. The results indicate that the menstrual cycle, especially fluctuating sex hormones, might impact the gut microbiota composition. The menstrual cycle may affect the gut microbiota composition and glucose metabolism. These results indicate that glucose tolerance may be the greatest in the follicular phase; however, further well-conducted studies are needed to support this assumption.
    Keywords menstrual cycle ; diabetes ; autoimmunity ; insulin resistance ; intestinal microbiome ; female health ; glucose homeostasis
    Language English
    Publishing date 2024-02-21
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 1225416-2
    ISSN 1439-3646 ; 0947-7349
    ISSN (online) 1439-3646
    ISSN 0947-7349
    DOI 10.1055/a-2273-5602
    Database Thieme publisher's database

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  4. Article: Implications of sleep quality and eating behavior in obesity prevention: A cross-sectional study in young adults

    Zeron-Rugerio, Maria Fernanda / Schieren, Alina / Diez-Noguera, Antoni / Cambras, Trinitat / Izquierdo-Pulido, Maria

    Proceedings of the Nutrition Society. 2020, v. 79, no. OCE2

    2020  

    Abstract: Food intake behavior is implicated in many chronic health issues, including obesity. Thus, understanding the underlying factors that affect food intake is important. Several studies have associated sleep restriction to increased dietary intake and poor ... ...

    Abstract Food intake behavior is implicated in many chronic health issues, including obesity. Thus, understanding the underlying factors that affect food intake is important. Several studies have associated sleep restriction to increased dietary intake and poor food choices, which can be driven by hedonic mechanisms, specially food palatability. Given that people eat for different reasons other than stress, including boredom, anxiety, sadness or joy, our aim was to study the potential association between sleep quality and the cognitive-behavioral nature of food intake (eating behaviors, EB), as well as their impact on body mass index in a population of young adults. One thousand twenty eight young adults (78% females; 21.4 ± 4.1years) were included in a cross-sectional study. The following questionnaires were used: Pittsburg Sleep Quality Index to assess sleep quality (scores > 5 indicate poor sleep quality), the Three Factor Eating Questionnaire to assess the three dimensions of EB (emotional, uncontrolled and restraint eating) (Higher scores indicate higher EB). Additionally, height, weight, body mass index (BMI) and the level of physical activity were evaluated. Statistical analysis were performed using SPSS v24, and adjusted for confounding variables. Sixty one percent of the studied population had a poor sleep quality, whereas no significant associations were found between poor sleep quality, gender or age. Poor sleep quality was associated with uncontrolled (p < 0.001) and emotional (p < 0.001) eating, as well as with BMI (p < 0.001). In addition, emotional eating was associated to BMI (p < 0.001). Finally, linear regression model showed that BMI is associated with poor sleep quality (p < 0.01) and emotional eating (p < 0.001). Our findings suggest that poor sleep quality is frequent among young adults. Furthermore, poor sleep quality is associated with higher emotional and uncontrolled eating, showing that poor sleep might be associated with a higher tendency to over eat when coping to emotionally negative emotions (sadness, anger, depression, anxiety), and a high tendency to lose control over food intake itself. Finally, the association between poor sleep quality and high emotional eating can have a negative impact over BMI, even in young adults. Hence, interventions designed to improve weight status would benefit from focusing on sleep quality in order to reduce emotional and uncontrolled eating.
    Keywords anxiety ; body mass index ; cross-sectional studies ; food intake ; obesity ; palatability ; people ; physical activity ; regression analysis ; sleep deprivation
    Language English
    Publishing place Cambridge University Press
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 391142-1
    ISSN 1475-2719 ; 0029-6651
    ISSN (online) 1475-2719
    ISSN 0029-6651
    DOI 10.1017/S0029665120001640
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Levels of Alzheimer's disease blood biomarkers are altered after food intake-A pilot intervention study in healthy adults.

    Huber, Hanna / Ashton, Nicholas J / Schieren, Alina / Montoliu-Gaya, Laia / Molfetta, Guglielmo Di / Brum, Wagner S / Lantero-Rodriguez, Juan / Grötschel, Lana / Stoffel-Wagner, Birgit / Coenen, Martin / Weinhold, Leonie / Schmid, Matthias / Blennow, Kaj / Stehle, Peter / Zetterberg, Henrik / Simon, Marie-Christine

    Alzheimer's & dementia : the journal of the Alzheimer's Association

    2023  Volume 19, Issue 12, Page(s) 5531–5540

    Abstract: Introduction: Blood biomarkers accurately identify Alzheimer's disease (AD) pathophysiology and axonal injury. We investigated the influence of food intake on AD-related biomarkers in cognitively healthy, obese adults at high metabolic risk.: Methods!# ...

    Abstract Introduction: Blood biomarkers accurately identify Alzheimer's disease (AD) pathophysiology and axonal injury. We investigated the influence of food intake on AD-related biomarkers in cognitively healthy, obese adults at high metabolic risk.
    Methods: One-hundred eleven participants underwent repeated blood sampling during 3 h after a standardized meal (postprandial group, PG). For comparison, blood was sampled from a fasting subgroup over 3 h (fasting group, FG). Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), amyloid-beta (Aβ) 42/40, phosphorylated tau (p-tau) 181 and 231, and total-tau were measured via single molecule array assays.
    Results: Significant differences were found for NfL, GFAP, Aβ42/40, p-tau181, and p-tau231 between FG and PG. The greatest change to baseline occurred for GFAP and p-tau181 (120 min postprandially, p < 0.0001).
    Conclusion: Our data suggest that AD-related biomarkers are altered by food intake. Further studies are needed to verify whether blood biomarker sampling should be performed in the fasting state.
    Highlights: Acute food intake alters plasma biomarkers of Alzheimer's disease in obese, otherwise healthy adults. We also found dynamic fluctuations in plasma biomarkers concentration in the fasting state suggesting physiological diurnal variations. Further investigations are highly needed to verify if biomarker measurements should be performed in the fasting state and at a standardized time of day to improve the diagnostic accuracy.
    MeSH term(s) Adult ; Humans ; Alzheimer Disease/diagnosis ; Pilot Projects ; Amyloid beta-Peptides ; tau Proteins ; Biomarkers ; Obesity ; Eating
    Chemical Substances Amyloid beta-Peptides ; tau Proteins ; Biomarkers
    Language English
    Publishing date 2023-05-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2211627-8
    ISSN 1552-5279 ; 1552-5260
    ISSN (online) 1552-5279
    ISSN 1552-5260
    DOI 10.1002/alz.13163
    Database MEDical Literature Analysis and Retrieval System OnLINE

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