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      Effects of Dapagliflozin and Combination Therapy With Exenatide on Food-Cue Induced Brain Activation in Patients With Type 2 Diabetes

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          Abstract

          Context

          Sodium-glucose cotransporter-2 inhibitors (SGLT2i) cause less weight loss than expected based on urinary calorie excretion. This may be explained by SGLT2i-induced alterations in central reward and satiety circuits, leading to increased appetite and food intake. Glucagon-like peptide-1 receptor agonists are associated with reduced appetite and body weight, mediated by direct and indirect central nervous system (CNS) effects.

          Objective

          We investigated the separate and combined effects of dapagliflozin and exenatide on the CNS in participants with obesity and type 2 diabetes.

          Methods

          This was a 16-week, double-blind, randomized, placebo-controlled trial. Obese participants with type 2 diabetes (n = 64, age 63.5 ± 0.9 years, BMI 31.7 ± 0.6 kg/m 2) were randomized (1:1:1:1) to dapagliflozin 10 mg with exenatide-matched placebo, exenatide twice daily 10 µg with dapagliflozin-matched placebo, dapagliflozin and exenatide, or double placebo. Using functional MRI, the effects of treatments on CNS responses to viewing food pictures were assessed after 10 days and 16 weeks of treatment.

          Results

          After 10 days, dapagliflozin increased, whereas exenatide decreased CNS activation in the left putamen. Combination therapy had no effect on responses to food pictures. After 16 weeks, no changes in CNS activation were observed with dapagliflozin, but CNS activation was reduced with dapagliflozin-exenatide in right amygdala.

          Conclusion

          The early increase in CNS activation with dapagliflozin may contribute to the discrepancy between observed and expected weight loss. In combination therapy, exenatide blunted the increased CNS activation observed with dapagliflozin. These findings provide further insights into the weight-lowering mechanisms of SGLT2i and GLP-1 receptor agonists.

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          Most cited references52

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          FMRIPrep: a robust preprocessing pipeline for functional MRI

          Preprocessing of functional MRI (fMRI) involves numerous steps to clean and standardize data before statistical analysis. Generally, researchers create ad-hoc preprocessing workflows for each new dataset, building upon a large inventory of tools available. The complexity of these workflows has snowballed with rapid advances in acquisition and processing. We introduce fMRIPrep, an analysis-agnostic tool that addresses the challenge of robust and reproducible preprocessing for fMRI data. FMRIPrep automatically adapts a best-in-breed workflow to the idiosyncrasies of virtually any dataset, ensuring high-quality preprocessing with no manual intervention. By introducing visual assessment checkpoints into an iterative integration framework for software-testing, we show that fMRIPrep robustly produces high-quality results on a diverse fMRI data collection. Additionally, fMRIPrep introduces less uncontrolled spatial smoothness than commonly used preprocessing tools. FMRIPrep equips neuroscientists with a high-quality, robust, easy-to-use and transparent preprocessing workflow, which can help ensure the validity of inference and the interpretability of their results.
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            The Neurovascular Unit Coming of Age: A Journey through Neurovascular Coupling in Health and Disease

            The concept of neurovascular unit (NVU), formalized at the 2001 Stroke Progress Review Group meeting of the National Institute of Neurological Disorders and Stroke, emphasizes the intimate relationship between the brain and its vessels. Since then, the NVU has attracted the interest of the neuroscience community resulting in considerable advances in the field. Here the current state-of-knowledge of the NVU will be assessed, focusing on one of its most vital roles: the coupling between neural activity and blood flow. The evidence supports a conceptual shift in the mechanisms of neurovascular coupling, from a unidimensional process involving neuronal-astrocytic signaling to local blood vessels, to a multidimensional one in which mediators released from multiple cells engage distinct signaling pathways and effector systems across the entire cerebrovascular network in a highly orchestrated manner. The recently appreciated NVU dysfunction in neurodegenerative diseases, although still poorly understood, supports emerging concepts that maintaining neurovascular health promotes brain health.
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              New methods for calculating metabolic rate with special reference to protein metabolism.

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                Author and article information

                Journal
                J Clin Endocrinol Metab
                J Clin Endocrinol Metab
                jcem
                The Journal of Clinical Endocrinology and Metabolism
                Oxford University Press (US )
                0021-972X
                1945-7197
                June 2022
                03 February 2022
                03 February 2022
                : 107
                : 6
                : e2590-e2599
                Affiliations
                [1 ] Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, location VU University Medical Center , 1081 HV Amsterdam, The Netherlands
                [2 ] Department of Psychiatry, Amsterdam University Medical Center, location VU University Medical Center , 1081 HJ Amsterdam, The Netherlands
                [3 ] Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location Academic Medical Center , 1105 AZ Amsterdam, The Netherlands
                [4 ] Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VU University Medical Center , 1081 BT Amsterdam, The Netherlands
                [5 ] Department of Vascular Medicine, Amsterdam University Medical Center, Location AMC , 1105 AZ Amsterdam, The Netherlands
                Author notes
                Correspondence: Charlotte C. van Ruiten, MD, Amsterdam University Medical Centers (Amsterdam UMC), Location VU University Medical Center (VUMC), Amsterdam Diabetes Center, Department of Internal Medicine, De Boelelaan 1117 (room ZH 4A63), 1081 HV Amsterdam, The Netherlands. Email: c.ruiten@ 123456amsterdamumc.nl .
                Author information
                https://orcid.org/0000-0002-6123-5140
                https://orcid.org/0000-0002-1926-7659
                https://orcid.org/0000-0001-7951-786X
                Article
                dgac043
                10.1210/clinem/dgac043
                9113812
                35134184
                d055ab29-f0c7-4e90-8531-c9eff8d98a4d
                © The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 19 October 2021
                : 21 January 2022
                : 11 February 2022
                Page count
                Pages: 10
                Funding
                Funded by: AstraZeneca, DOI 10.13039/100004325;
                Award ID: -16-11865
                Categories
                Online Only Articles
                Clinical Research Article
                AcademicSubjects/MED00250

                Endocrinology & Diabetes
                sglt2 inhibitor,dapagliflozin,glp-1 receptor agonist,exenatide,functional neuroimaging,central nervous system,satiety and reward circuits,body weight,type 2 diabetes,obesity

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