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      Hypothalamic pregnenolone mediates recognition memory in the context of metabolic disorders

      research-article
      1 , 25 , , 1 , 2 , 1 , 3 , 4 , 5 , 6 , 7 , 8 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 9 , 10 , 11 , 12 , 13 , 14 , 6 , 7 , 8 , 15 , 12 , 16 , 17 , 17 , 9 , 11 , 18 , 19 , 20 , 4 , 5 , 21 , 3 , 16 , 22 , 6 , 7 , 8 , 15 , 1 , 23 , 24 , 25 , 26 , ∗∗
      Cell Metabolism
      Cell Press
      hypothalamus, obesity, diabetes, cognitive function, recognition memory, neurosteroids, POMC neurons, pregnenolone, Stard1, mitochondria

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          Summary

          Obesity and type 2 diabetes are associated with cognitive dysfunction. Because the hypothalamus is implicated in energy balance control and memory disorders, we hypothesized that specific neurons in this brain region are at the interface of metabolism and cognition. Acute obesogenic diet administration in mice impaired recognition memory due to defective production of the neurosteroid precursor pregnenolone in the hypothalamus. Genetic interference with pregnenolone synthesis by Star deletion in hypothalamic POMC, but not AgRP neurons, deteriorated recognition memory independently of metabolic disturbances. Our data suggest that pregnenolone’s effects on cognitive function were mediated via an autocrine mechanism on POMC neurons, influencing hippocampal long-term potentiation. The relevance of central pregnenolone on cognition was also confirmed in metabolically unhealthy patients with obesity. Our data reveal an unsuspected role for POMC neuron-derived neurosteroids in cognition. These results provide the basis for a framework to investigate new facets of POMC neuron biology with implications for cognitive disorders.

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          Highlights

          • Acute western diet impairs memory performance, which is reversed by pregnenolone

          • Pregnenolone synthesis interference in POMC neurons causes cognitive dysfunction

          • POMC pregnenolone mediates memory function via hippocampal mechanisms

          • Pregnenolone in the CSF of individuals with unhealthy obesity correlates with cognitive score

          Abstract

          Ramírez et al. show that reduced hypothalamic pregnenolone levels, in the context of metabolic diseases, are associated with cognitive deterioration. POMC neuron-derived pregnenolone is a key mediator of cognition, but not metabolism, acting via hippocampal mechanisms. These results identify an unsuspected role for POMC neuron-derived pregnenolone in memory performance.

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          Most cited references64

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          Obesity: global epidemiology and pathogenesis

          The prevalence of obesity has increased worldwide in the past ~50 years, reaching pandemic levels. Obesity represents a major health challenge because it substantially increases the risk of diseases such as type 2 diabetes mellitus, fatty liver disease, hypertension, myocardial infarction, stroke, dementia, osteoarthritis, obstructive sleep apnoea and several cancers, thereby contributing to a decline in both quality of life and life expectancy. Obesity is also associated with unemployment, social disadvantages and reduced socio-economic productivity, thus increasingly creating an economic burden. Thus far, obesity prevention and treatment strategies - both at the individual and population level - have not been successful in the long term. Lifestyle and behavioural interventions aimed at reducing calorie intake and increasing energy expenditure have limited effectiveness because complex and persistent hormonal, metabolic and neurochemical adaptations defend against weight loss and promote weight regain. Reducing the obesity burden requires approaches that combine individual interventions with changes in the environment and society. Therefore, a better understanding of the remarkable regional differences in obesity prevalence and trends might help to identify societal causes of obesity and provide guidance on which are the most promising intervention strategies.
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            The novel object recognition memory: neurobiology, test procedure, and its modifications

            Animal models of memory have been considered as the subject of many scientific publications at least since the beginning of the twentieth century. In humans, memory is often accessed through spoken or written language, while in animals, cognitive functions must be accessed through different kind of behaviors in many specific, experimental models of memory and learning. Among them, the novel object recognition test can be evaluated by the differences in the exploration time of novel and familiar objects. Its application is not limited to a field of research and enables that various issues can be studied, such as the memory and learning, the preference for novelty, the influence of different brain regions in the process of recognition, and even the study of different drugs and their effects. This paper describes the novel object recognition paradigms in animals, as a valuable measure of cognition. The purpose of this work was to review the neurobiology and methodological modifications of the test commonly used in behavioral pharmacology.
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              Object recognition test in mice.

              The object recognition test is now among the most commonly used behavioral tests for mice. A mouse is presented with two similar objects during the first session, and then one of the two objects is replaced by a new object during a second session. The amount of time taken to explore the new object provides an index of recognition memory. As more groups have used the protocol, the variability of the procedures used in the object recognition test has increased steadily. This protocol provides a necessary standardization of the procedure. This protocol reduces inter-individual variability with the use of a selection criterion based on a minimal time of exploration for both objects during each session. In this protocol, we describe the three most commonly used variants, containing long (3 d), short (1 d) or no habituation phases. Thus, with a short intersession interval (e.g., 6 h), this procedure can be performed in 4, 2 or 1 d, respectively, according to the duration of the habituation phase. This protocol should allow for the comparison of results from different studies, while permitting adaption of the protocol to the constraints of the experimenter.
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                Author and article information

                Contributors
                Journal
                Cell Metab
                Cell Metab
                Cell Metabolism
                Cell Press
                1550-4131
                1932-7420
                01 February 2022
                01 February 2022
                : 34
                : 2
                : 269-284.e9
                Affiliations
                [1 ]Neuronal Control of Metabolism (NeuCoMe) Laboratory, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
                [2 ]Neuroimmunology Laboratory, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
                [3 ]Obesity Unit, Hospital Clínic de Barcelona, Barcelona, Spain
                [4 ]Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
                [5 ]Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
                [6 ]Department of Cell Death and Proliferation, Institute of Biomedical Research of Barcelona (IIBB), CSIC, Barcelona, Spain
                [7 ]Liver Unit, Hospital Clínic de Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
                [8 ]Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
                [9 ]Laboratory of Behavioral Genetics, Brain Mind Institute, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
                [10 ]Laboratory of Metabolism, Department of Internal Medicine Specialties, Faculty of Medicine, University of Geneva, Geneva, Switzerland
                [11 ]Department of Neuronal Control of Metabolism, Max Planck Institute for Metabolism Research, Cologne, Germany
                [12 ]Department of Physiology, Centro de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), University of Santiago de Compostela, Instituto de Investigación Sanitaria (IDIS), Santiago de Compostela, Spain
                [13 ]Muscle Research and Mitochondrial Function Laboratory, CELLEX-IDIBAPS, Internal Medicine Department, Faculty of Medicine, University of Barcelona, Hospital Clínic de Barcelona, Barcelona, Spain
                [14 ]Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain
                [15 ]Center for ALPD, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
                [16 ]Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Barcelona, Spain
                [17 ]Neurophysiology Laboratory, Department of Biomedicine, Faculty of Medicine, Neuroscience Institute, University of Barcelona, Barcelona, Spain
                [18 ]National Center for Diabetes Research (DZD), Neuherberg, Germany
                [19 ]Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
                [20 ]Center for Endocrinology, Diabetes and Preventive Medicine (CEPD), University Hospital of Cologne, Cologne, Germany
                [21 ]Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
                [22 ]Translational Research in Diabetes, Lipids and Obesity, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
                [23 ]Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
                [24 ]Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
                Author notes
                []Corresponding author ramirez@ 123456clinic.cat
                [∗∗ ]Corresponding author mclaret@ 123456clinic.cat
                [25]

                Senior author

                [26]

                Lead contact

                Article
                S1550-4131(21)00689-6
                10.1016/j.cmet.2021.12.023
                8815774
                35108514
                2610f375-ee9b-4238-a1ca-648a6590dc3e
                © 2022 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 24 February 2021
                : 29 October 2021
                : 27 December 2021
                Categories
                Article

                Cell biology
                hypothalamus,obesity,diabetes,cognitive function,recognition memory,neurosteroids,pomc neurons,pregnenolone,stard1,mitochondria

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