Diet and Feeding Pattern Affect the Diurnal Dynamics of the Gut Microbiome

SummaryThe gut microbiome and daily feeding/fasting cycle influence host metabolism and contribute to obesity and metabolic diseases. However, fundamental characteristics of this relationship between the feeding/fasting cycle and the gut microbiome are unknown. Our studies show that the gut microbiome is highly dynamic, exhibiting daily cyclical fluctuations in composition. Diet-induced obesity dampens the daily feeding/fasting rhythm and diminishes many of these cyclical fluctuations. Time-restricted feeding (TRF), in which feeding is consolidated to the nocturnal phase, partially restores these cyclical fluctuations. Furthermore, TRF, which protects against obesity and metabolic diseases, affects bacteria shown to influence host metabolism. Cyclical changes in the gut microbiome from feeding/fasting rhythms contribute to the diversity of gut microflora and likely represent a mechanism by which the gut microbiome affects host metabolism. Thus, feeding pattern and time of harvest, in addition to diet, are important parameters when assessing the microbiome’s contribution to host metabolism

Does the advertisement in Swiss pharmacy windows rest on evidence-based medicine? An observational study.

OBJECTIVES The aim of the study was to analyse the proportion of evidence-based medication displayed in pharmacies and compare it between the different linguistic regions of the country, at different times of the year to determine the amount of proven effective medications indirectly recommended to the public in different parts of Switzerland. DESIGN This is an observational study conducted by medical doctors in the department of internal medicine at the Spitalzentrum Biel, Switzerland. SETTING The observation took place from July 2019 to May 2020. From a total of 1800 pharmacies in Switzerland, 68 different pharmacies were selected across the 3 main linguistic regions and the medication on display in their windows were examined 4 times a year regarding their efficacy. The displays of medication with or without evidence-based efficacy were described using absolute numbers and proportions and compared between the different linguistic regions at different seasons using χ2. PARTICIPANTS There were no human or animal participants involved in this study. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome is the proportion of medication displayed in pharmacy windows with a proven effectiveness in medical literature. The secondary outcome was the variability of the primary outcome over time (seasonal changes), over the different linguistic regions of Switzerland and between chains and privately owned pharmacies. RESULTS We examined 970 medications and found that over the whole year, there is a high proportion of non-evidence-based drugs (56,9%) displayed in pharmacies. Swiss German cantons display significantly more non-evidence-based medications in winter. We found no statistical difference for other seasons or between chains and privately owned pharmacies. CONCLUSION Pharmacies in Switzerland tend to display significantly more non-evidence-based drugs, thus indirectly recommending them to the public. In a time of necessary expansion of self-medication by the population, this could incite consumers to buy drugs without proven effectiveness

Reliability Estimates For assessing Meal Timing Derived From Longitudinal Repeated 24-Hour Dietary Recalls

BACKGROUND: Regulating meal timing may have efficacy for improving metabolic health for preventing or managing chronic disease. However, the reliability of measuring meal timing with commonly used dietary assessment tools needs characterization prior to investigating meal timing and health outcomes in epidemiologic studies. OBJECTIVES: to evaluate the reliability of estimating meal timing parameters, including overnight fasting duration, the midpoint of overnight fasting time, the number of daily eating episodes, the period with the largest percentage of daily caloric intake, and late last eating episode (\u3e 09:00 pm) from repeated 24-h dietary recalls (24HRs). METHODS: Intraclass correlation coefficients (ICC), Light\u27s Kappa estimates, and 95% CIs were calculated from repeated 24HR administered in 3 epidemiologic studies: The United States-based Interactive Diet and Activity Tracking in AARP (IDATA) study (n = 996, 6 24HR collected over 12-mo), German EPIC-Potsdam Validation Study (European Prospective Investigation into Cancer and Nutrition Potsdam Germany cohort) (n = 134, 12 24HR collected over 12-mo) and EPIC-Potsdam BMBF-II Study (Federal Ministry of Education and Research, Bundesministerium für Bildung und Forschung ) (n = 725, 4 24HR collected over 36 mo). RESULTS: Measurement reliability of overnight fasting duration based on a single 24HR was poor in all studies [ICC range: 0.27; 95% CI: 0.23, 0.32 - 0.46; 95% CI: 0.43, 0.50]. Reliability was moderate with 3 24HR (ICC range: 0.53; 95% CI: 0.47, 0.58 in IDATA, 0.62; 95% CI: 0.52, 0.69 in the EPIC-Potsdam Validation Study, and 0.72; 95% CI: 0.70-0.75 in the EPIC-Potsdam BMBF-II Study). Results were similar for the midpoint of overnight fasting time and the number of eating episodes. Reliability of measuring late eating was fair in IDATA (Light\u27s Kappa: 0.30; 95% CI: 0.21, 0.39) and slight in the EPIC-Potsdam Validation study and the EPIC-Potsdam BMBF-II study (Light\u27s Kappa: 0.19; 95% CI: 0.15, 0.25 and 0.09; 95% CI: 0.06, 0.12, respectively). Reliability estimates differed by sex, BMI, weekday, and season of 24HR administration in some studies. CONCLUSIONS: Our results show that ≥ 3 24HR over a 1-3-y period are required for reliable estimates of meal timing variables

When a calorie is not just a calorie : Diet quality and timing as mediators of metabolism and healthy aging

Funding Information: We thank Dr. Yih-Woei Fridell of the National Institute on Aging for organizing the meeting, as well as the NIA Division of Aging Biology for their support. We thank Dr. Gino Cortopassi for his edits and suggestions. The figures were created with BioRender.com. The Mihaylova lab is supported in part by the NIA (R00AG054760), Office of the NIH Director (DP2CA271361), the American Federation for Aging Research, the V Foundation, Pew Biomedical Scholar award, and startup funds from the Ohio State University. The Delibegovic lab is funded by the British Heart Foundation, Diabetes UK, BBSRC, NHS Grampian, Tenovus Scotland, and the Development Trust (University of Aberdeen). J.J.R. is supported by NIA PO1AG062817, R21AG064290, and R21AG071156. Research support for J.B. was from NIH National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grants R01DK127800, R01DK113011, R01DK090625, and R01DK050203 and the National Institute on Aging (NIA) grants R01AG065988 and P01AG011412, as well as the University of Chicago Diabetes Research and Training Center grant P30DK020595. This work was supported by NIH grants AG065992 to G.M. and AG068550 to G.M. and S.P. as well as UAB Startup funds 3123226 and 3123227 to G.M. R.S. is supported by NIH grants RF1AG043517, R01AG065985, R01DK123327, R56AG074568, and P01AG031782. Z.C. is primarily funded by The Welch Foundation (AU-1731-20190330) and NIH/NIA (R01AG065984, R56AG063746, RF1AG061901, and R56AG076144). A.C. is supported by NIA grant R01AG065993. W.W.J. is supported by the NIH (R01DC020031). M.S.-H. is supported by NIH R01 R35GM127049, R01 AG045842, and R21 NS122366. The research in the Dixit lab was supported in part by NIH grants AG031797, AG045712, P01AG051459, AR070811, AG076782, AG073969, and AG068863 and Cure Alzheimer's Fund (CAF). A.E.T.-M. is supported by the NIH/NIA (AG075059 and AG058630), NIAMS (AR071133), NHLBI (HL153460), pilot and feasibility funds from the NIDDK-funded UAB Nutrition Obesity Research Center (DK056336) and the NIA-funded UAB Nathan Shock Center (AG050886), and startup funds from UAB. J.A.M. is supported by the Intramural Research Program, NIA, NIH. The Panda lab is supported by the NIH (R01CA236352, R01CA258221, RF1AG068550, and P30CA014195), the Wu Tsai Human Performance Alliance, and the Joe and Clara Tsai Foundation. The Lamming lab is supported in part by the NIA (AG056771, AG062328, AG061635, and AG081482), the NIDDK (DK125859), startup funds from UW-Madison, and the U.S. Department of Veterans Affairs (I01-BX004031), and this work was supported using facilities and resources from the William S. Middleton Memorial Veterans Hospital. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. This work does not represent the views of the Department of Veterans Affairs or the United States Government. D.W.L. has received funding from, and is a scientific advisory board member of, Aeovian Pharmaceuticals, which seeks to develop novel, selective mTOR inhibitors for the treatment of various diseases. S.P. is the author of the books The Circadian Code and The Circadian Diabetes Code. Funding Information: We thank Dr. Yih-Woei Fridell of the National Institute on Aging for organizing the meeting, as well as the NIA Division of Aging Biology for their support. We thank Dr. Gino Cortopassi for his edits and suggestions. The figures were created with BioRender.com . The Mihaylova lab is supported in part by the NIA ( R00AG054760 ), Office of the NIH Director ( DP2CA271361 ), the American Federation for Aging Research , the V Foundation , Pew Biomedical Scholar award, and startup funds from the Ohio State University . The Delibegovic lab is funded by the British Heart Foundation , Diabetes UK , BBSRC , NHS Grampian , Tenovus Scotland , and the Development Trust ( University of Aberdeen ). J.J.R. is supported by NIA PO1AG062817 , R21AG064290 , and R21AG071156 . Research support for J.B. was from NIH National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grants R01DK127800 , R01DK113011 , R01DK090625 , and R01DK050203 and the National Institute on Aging (NIA) grants R01AG065988 and P01AG011412 , as well as the University of Chicago Diabetes Research and Training Center grant P30DK020595 . This work was supported by NIH grants AG065992 to G.M. and AG068550 to G.M. and S.P., as well as UAB Startup funds 3123226 and 3123227 to G.M. R.S. is supported by NIH grants RF1AG043517 , R01AG065985 , R01DK123327 , R56AG074568 , and P01AG031782 . Z.C. is primarily funded by The Welch Foundation ( AU-1731-20190330 ) and NIH/NIA ( R01AG065984 , R56AG063746 , RF1AG061901 , and R56AG076144 ). A.C. is supported by NIA grant R01AG065993 . W.W.J. is supported by the NIH ( R01DC020031 ). M.S.-H. is supported by NIH R01 R35GM127049 , R01 AG045842 , and R21 NS122366 . The research in the Dixit lab was supported in part by NIH grants AG031797 , AG045712 , P01AG051459 , AR070811 , AG076782 , AG073969 , and AG068863 and Cure Alzheimer's Fund (CAF). A.E.T.-M. is supported by the NIH/NIA ( AG075059 and AG058630 ), NIAMS ( AR071133 ), NHLBI ( HL153460 ), pilot and feasibility funds from the NIDDK -funded UAB Nutrition Obesity Research Center ( DK056336 ) and the NIA -funded UAB Nathan Shock Center ( AG050886 ), and startup funds from UAB . J.A.M. is supported by the Intramural Research Program, NIA, NIH . The Panda lab is supported by the NIH ( R01CA236352 , R01CA258221 , RF1AG068550 , and P30CA014195 ), the Wu Tsai Human Performance Alliance , and the Joe and Clara Tsai Foundation . The Lamming lab is supported in part by the NIA ( AG056771 , AG062328 , AG061635 , and AG081482 ), the NIDDK ( DK125859 ), startup funds from UW-Madison , and the U.S. Department of Veterans Affairs ( I01-BX004031 ), and this work was supported using facilities and resources from the William S. Middleton Memorial Veterans Hospital. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. This work does not represent the views of the Department of Veterans Affairs or the United States Government.Peer reviewedPostprin

Normal and oncogenic signalling of the receptor tyrosine kinase KIT

Le système de communication SCF/KIT est impliqué dans le développement et l’homéostasie de plusieurs lignages cellulaires. Des dysfonctionnements de la voie sont à l’origine de pathologies affectant ces compartiments. En particulier, des mutations gain-de-fonction, qui entraînent l’activation constitutive du récepteur à activité tyrosine kinase KIT, sont responsables de néoplasies chez l’homme.L’objectif des travaux réalisés durant cette thèse était d’étudier certaines spécificités de la signalisation de formes oncogéniques de KIT, ceci dans le modèle du mastocyte transformé par l’oncogène KIT-D816V. Cette étude a été menée au niveau proximal sur le récepteur lui-même ainsi qu’au niveau distal sur la voie STAT ,une des voies de signalisation spécifiquement activée de manière constitutive par le récepteur mutant.Au niveau proximal, nous avons pu montrer que le motif dityrosine Y568-Y570situé dans le domaine juxtamembranaire de hKIT est une plateforme majeure de recrutement des effecteurs de la signalisation intracellulaire avec au moins 15partenaires différents recrutées. Par ailleurs l’étude de modèles cellulaires dans des analyses liées aux fonctions physiologiques du récepteur réalisés in vitro et in vivo ont révélé que le site est impliqué dans la régulation négative du signal transformant issu de l’oncogène KIT-D816.Au niveau distal, nous avons analysé les mécanismes de phosphorylation des protéines STAT1, -3 et -5 ainsi que l’importance fonctionnelle de leur activation dans la transformation dépendante de KIT-D816. Nous avons ainsi étudié la contribution de différentes kinases dans les phosphorylations activatrices des STATs sur tyrosine et serine. Nos résultats suggèrent que seul STAT5 a une activité transcriptionnelle dans nos modèles suggérant une implication potentielle non canonique des STAT1et -3 dans la transformation dépendante de KIT-D816.L’ensemble de nos travaux contribue à une meilleure compréhension des mécanismes de l’oncogenèse dépendante de KIT-D816, un point critique dans le développement raisonné de thérapeutiques anticancéreuses ciblées.The receptor tyrosine kinase KIT and its ligand, the stem cell factor (SCF), are implicated both in the development and the homeostasis of multiple cell lineages. Dysfunctions in the KIT/SCF pathway are involved in several pathologies affecting these compartments. In particular, gain-of-function mutations that lead to constitutive activation of the receptor KIT are found in human neoplasia.The purpose of this thesis project was to investigate some differences between normal and oncogenic signalling of KIT receptor using mast cells transformed by the KIT-D816 oncogene as a model. This question was analysed at aproximal level on the oncogenic receptor itself and at a more distal level on the STAT signal transduction pathway, which is specifically and constitutively activated by theKIT-D816 mutant.At the proximal level, we show that the juxtamembrane dityrosine motif Y568-Y570 of KIT is the major platform of recruitment of intracellular signalling partnerswith more than 15 interactors found in mast cells. Furthermore, the analysis ofcellular models in both in vitro and in vivo assays related to KIT physiological functions has revealed the negative role of the motif in KIT-D816-mediated cell transformation. At the distal level, we have analysed the mechanisms of phosphorylation ofSTAT1, -3 and -5 proteins and the functional relevance of their activation in KITD816-mediated transformation. We describe the contribution of different kinases inthe phosphorylation of STATs on both serine and tyrosine residues. Our results suggest that only STAT5 is transcriptionaly active whereas STAT1 and STAT3 are not, suggesting a non conventional implication of their activation in celltransformation. Our work contributes to a better understanding of the mechanisms of KITD816-mediated oncogenesis and could be used to improve the rational developmentof new targeted cancer therapie

Les spécificités de la signalisation oncogénique par rapport à la signalisation physiologique (le modèle de KIT, un récepteur à activité tyrosine kinase)

Le système de communication SCF/KIT est impliqué dans le développement et l homéostasie de plusieurs lignages cellulaires. Des dysfonctionnements de la voie sont à l origine de pathologies affectant ces compartiments. En particulier, des mutations gain-de-fonction, qui entraînent l activation constitutive du récepteur à activité tyrosine kinase KIT, sont responsables de néoplasies chez l homme.L objectif des travaux réalisés durant cette thèse était d étudier certaines spécificités de la signalisation de formes oncogéniques de KIT, ceci dans le modèle du mastocyte transformé par l oncogène KIT-D816V. Cette étude a été menée au niveau proximal sur le récepteur lui-même ainsi qu au niveau distal sur la voie STAT ,une des voies de signalisation spécifiquement activée de manière constitutive par le récepteur mutant.Au niveau proximal, nous avons pu montrer que le motif dityrosine Y568-Y570situé dans le domaine juxtamembranaire de hKIT est une plateforme majeure de recrutement des effecteurs de la signalisation intracellulaire avec au moins 15partenaires différents recrutées. Par ailleurs l étude de modèles cellulaires dans des analyses liées aux fonctions physiologiques du récepteur réalisés in vitro et in vivo ont révélé que le site est impliqué dans la régulation négative du signal transformant issu de l oncogène KIT-D816.Au niveau distal, nous avons analysé les mécanismes de phosphorylation des protéines STAT1, -3 et -5 ainsi que l importance fonctionnelle de leur activation dans la transformation dépendante de KIT-D816. Nous avons ainsi étudié la contribution de différentes kinases dans les phosphorylations activatrices des STATs sur tyrosine et serine. Nos résultats suggèrent que seul STAT5 a une activité transcriptionnelle dans nos modèles suggérant une implication potentielle non canonique des STAT1et -3 dans la transformation dépendante de KIT-D816.L ensemble de nos travaux contribue à une meilleure compréhension des mécanismes de l oncogenèse dépendante de KIT-D816, un point critique dans le développement raisonné de thérapeutiques anticancéreuses ciblées.The receptor tyrosine kinase KIT and its ligand, the stem cell factor (SCF), are implicated both in the development and the homeostasis of multiple cell lineages. Dysfunctions in the KIT/SCF pathway are involved in several pathologies affecting these compartments. In particular, gain-of-function mutations that lead to constitutive activation of the receptor KIT are found in human neoplasia.The purpose of this thesis project was to investigate some differences between normal and oncogenic signalling of KIT receptor using mast cells transformed by the KIT-D816 oncogene as a model. This question was analysed at aproximal level on the oncogenic receptor itself and at a more distal level on the STAT signal transduction pathway, which is specifically and constitutively activated by theKIT-D816 mutant.At the proximal level, we show that the juxtamembrane dityrosine motif Y568-Y570 of KIT is the major platform of recruitment of intracellular signalling partnerswith more than 15 interactors found in mast cells. Furthermore, the analysis ofcellular models in both in vitro and in vivo assays related to KIT physiological functions has revealed the negative role of the motif in KIT-D816-mediated cell transformation. At the distal level, we have analysed the mechanisms of phosphorylation ofSTAT1, -3 and -5 proteins and the functional relevance of their activation in KITD816-mediated transformation. We describe the contribution of different kinases inthe phosphorylation of STATs on both serine and tyrosine residues. Our results suggest that only STAT5 is transcriptionaly active whereas STAT1 and STAT3 are not, suggesting a non conventional implication of their activation in celltransformation. Our work contributes to a better understanding of the mechanisms of KITD816-mediated oncogenesis and could be used to improve the rational developmentof new targeted cancer therapiesAIX-MARSEILLE2-Bib.electronique (130559901) / SudocSudocFranceF