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      Sex Differences in Stress Response: Classical Mechanisms and Beyond

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          Abstract

          Neuropsychiatric disorders, which are associated with stress hormone dysregulation, occur at different rates in men and women. Moreover, nowadays, preclinical and clinical evidence demonstrates that sex and gender can lead to differences in stress responses that predispose males and females to different expressions of similar pathologies. In this curated review, we focus on what is known about sex differences in classic mechanisms of stress response, such as glucocorticoid hormones and corticotrophin-releasing factor (CRF), which are components of the hypothalamic-pituitary-adrenal (HPA) axis. Then, we present sex differences in neurotransmitter levels, such as serotonin, dopamine, glutamate and GABA, as well as indices of neurodegeneration, such as amyloid β and Tau. Gonadal hormone effects, such as estrogens and testosterone, are also discussed throughout the review. We also review in detail preclinical data investigating sex differences caused by recently-recognized regulators of stress and disease, such as the immune system, genetic and epigenetic mechanisms, as well neurosteroids. Finally, we discuss how understanding sex differences in stress responses, as well as in pharmacology, can be leveraged into novel, more efficacious therapeutics for all. Based on the supporting evidence, it is obvious that incorporating sex as a biological variable into preclinical research is imperative for the understanding and treatment of stress-related neuropsychiatric disorders, such as depression, anxiety and Alzheimer’s disease.

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          Most cited references277

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          Sex differences in immune responses

          Males and females differ in their immunological responses to foreign and self-antigens and show distinctions in innate and adaptive immune responses. Certain immunological sex differences are present throughout life, whereas others are only apparent after puberty and before reproductive senescence, suggesting that both genes and hormones are involved. Furthermore, early environmental exposures influence the microbiome and have sex-dependent effects on immune function. Importantly, these sex-based immunological differences contribute to variations in the incidence of autoimmune diseases and malignancies, susceptibility to infectious diseases and responses to vaccines in males and females. Here, we discuss these differences and emphasize that sex is a biological variable that should be considered in immunological studies.
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            Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States.

            Estimates of 12-month and lifetime prevalence and of lifetime morbid risk (LMR) of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) anxiety and mood disorders are presented based on US epidemiological surveys among people aged 13+. The presentation is designed for use in the upcoming DSM-5 manual to provide more coherent estimates than would otherwise be available. Prevalence estimates are presented for the age groups proposed by DSM-5 workgroups as the most useful to consider for policy planning purposes. The LMR/12-month prevalence estimates ranked by frequency are as follows: major depressive episode: 29.9%/8.6%; specific phobia: 18.4/12.1%; social phobia: 13.0/7.4%; post-traumatic stress disorder: 10.1/3.7%; generalized anxiety disorder: 9.0/2.0%; separation anxiety disorder: 8.7/1.2%; panic disorder: 6.8%/2.4%; bipolar disorder: 4.1/1.8%; agoraphobia: 3.7/1.7%; obsessive-compulsive disorder: 2.7/1.2. Four broad patterns of results are most noteworthy: first, that the most common (lifetime prevalence/morbid risk) lifetime anxiety-mood disorders in the United States are major depression (16.6/29.9%), specific phobia (15.6/18.4%), and social phobia (10.7/13.0%) and the least common are agoraphobia (2.5/3.7%) and obsessive-compulsive disorder (2.3/2.7%); second, that the anxiety-mood disorders with the earlier median ages-of-onset are phobias and separation anxiety disorder (ages 15-17) and those with the latest are panic disorder, major depression, and generalized anxiety disorder (ages 23-30); third, that LMR is considerably higher than lifetime prevalence for most anxiety-mood disorders, although the magnitude of this difference is much higher for disorders with later than earlier ages-of-onset; and fourth, that the ratio of 12-month to lifetime prevalence, roughly characterizing persistence, varies meaningfully in ways consistent with independent evidence about differential persistence of these disorders. Copyright © 2012 John Wiley & Sons, Ltd.
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              Schizophrenia: a concise overview of incidence, prevalence, and mortality.

              Recent systematic reviews have encouraged the psychiatric research community to reevaluate the contours of schizophrenia epidemiology. This paper provides a concise overview of three related systematic reviews on the incidence, prevalence, and mortality associated with schizophrenia. The reviews shared key methodological features regarding search strategies, analysis of the distribution of the frequency estimates, and exploration of the influence of key variables (sex, migrant status, urbanicity, secular trend, economic status, and latitude). Contrary to previous interpretations, the incidence of schizophrenia shows prominent variation between sites. The median incidence of schizophrenia was 15.2/100,000 persons, and the central 80% of estimates varied over a fivefold range (7.7-43.0/100,000). The rate ratio for males:females was 1.4:1. Prevalence estimates also show prominent variation. The median lifetime morbid risk for schizophrenia was 7.2/1,000 persons. On the basis of the standardized mortality ratio, people with schizophrenia have a two- to threefold increased risk of dying (median standardized mortality ratio = 2.6 for all-cause mortality), and this differential gap in mortality has increased over recent decades. Compared with native-born individuals, migrants have an increased incidence and prevalence of schizophrenia. Exposures related to urbanicity, economic status, and latitude are also associated with various frequency measures. In conclusion, the epidemiology of schizophrenia is characterized by prominent variability and gradients that can help guide future research.
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                Author and article information

                Journal
                Curr Neuropharmacol
                Curr Neuropharmacol
                CN
                Current Neuropharmacology
                Bentham Science Publishers
                1570-159X
                1875-6190
                18 December 2023
                18 December 2023
                : 22
                : 3
                : 475-494
                Affiliations
                [1 ] deptVirginia Tech , School of Neuroscience , Blacksburg, , VA , USA;
                [2 ] deptCenter for Behavioral Neuroscience , Georgia State University , Atlanta, , GA , USA;
                [3 ] Institute of Biosciences & Applications NCSR “Demokritos” , Athens, , Greece;
                [4 ] deptLife and Health Sciences Research Institute (ICVS), School of Medicine , University of Minho , Campus de Gualtar, 4710-057, Braga , Portugal;
                [5 ] deptDepartment of Pharmacology, Medical School , National and Kapodistrian University of Athens , Athens, , Greece;
                [6 ] deptFirst Department of Psychiatry, Eginition Hospital, Medical School , National and Kapodistrian University of Athens , Athens, , Greece
                Author notes
                [* ]Address correspondence to this author at the Department of Pharmacology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, Goudi, 11527, Athens, Greece; E-mail: cdalla@ 123456med.uoa.gr
                [# ] These authors contributed equally to this work.
                Article
                CN-22-475
                10.2174/1570159X22666231005090134
                10845083
                37855285
                80e1bdca-caf5-405d-93eb-d013cb26abaf
                © 2024 Bentham Science Publishers

                © 2024 The Author(s). Published by Bentham Science Publisher. This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode)

                History
                : 02 March 2023
                : 28 July 2023
                : 09 August 2023
                Categories
                Medicine, Neurology, Pharmacology, Neuroscience

                Pharmacology & Pharmaceutical medicine
                stress,sex differences,immune,neurodegeneration,antidepressants,hpa axis,glucocorticoids

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