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Our results demonstrated that CUMS induced depression-like behaviors, which were reversed by fluoxetine treatment and swimming exercise. Moreover, we found that CUMS resulted in a dysregulation of Fgf9, Fgf2, and FgfR2 expression, whereas fluoxetine and swimming restored the FGFs expression in CUMS-exposed mice. An analysis of the proteins suggests that the antidepressant effects of fluoxetine and exercise in CUMS-exposed mice was associated with ameliorated Fgf9/Akt signaling.
Our findings have demonstrated that swimming exercise mimics the antidepressant effects of fluoxetine by regulating Fgf9 in CUMS-exposed mice, which may offer new mechanism-based therapeutic targets for depression.
Our findings have demonstrated that swimming exercise mimics the antidepressant effects of fluoxetine by regulating Fgf9 in CUMS-exposed mice, which may offer new mechanism-based therapeutic targets for depression.
Life expectancy and obesity rates have drastically increased in recent years. An unhealthy weight is related to long-lasting medical disorders that might compromise the normal course of aging. The aim of the current study of brain connectivity patterns was to examine whether adults with obesity would show signs of premature aging, such as lower segregation, in large-scale networks.
Participants with obesity (N = 30, mean age 32.8± 5.68) were compared to healthy-weight controls (N = 33, mean age 30.9± 6.24) and senior participants who were stroke-free and without dementia (N = 30, mean age 67.1± 6.65 years) using resting-state MRI and graph theory metrics (i.e., small-world index, clustering coefficient, characteristic path length, and degree).
Contrary to our hypothesis, participants with obesity exhibited a higher clustering coefficient compared to senior participants (t = 5.06, p < 0.001, d= 1.23, CIbca 95% [0.64, 1.88]). Participants with obesity also showed lower global degree relative to seniors brain. Although the cross-sectional nature of the study precludes causal inference, the overly clustered network patterns in obese participants could be relevant to age-related changes in brain function because regular networks might be less resilient and metabolically inefficient.
Older adults are at increased risk for depression and poor asthma outcomes. We examined whether depressive symptoms are associated with over-perception of airflow obstruction and a pattern of worse asthma control, but not pulmonary function.
We recruited a cohort of adults with asthma aged 60 years and older in East Harlem and the Bronx, NY. Baseline measures included the Geriatric Depression Scale, Asthma Control Questionnaire, and mini Asthma Quality of Life Questionnaire. Spirometry was conducted at baseline to assess pulmonary function. Perception of airflow obstruction was assessed for 6 weeks following baseline by participants entering estimates of peak expiratory flow (PEF) into a programmable peak flow meter followed by PEF blows. Participants were blinded to actual PEF values. CID755673 mouse The percentage of time that participants were in the over-perception zone was calculated as an average.
Among the 334 participants (51% Hispanic, 25% Black), depressive symptoms were associated with over-perception of airflow obstruction (β = .14, p = .029), worse self-reported asthma control (β = .17, p = .003), and lower asthma-related quality of life (β = -.33, p < .001), but not with lung function (β = -.01, p = .82). Over-perception was also associated with worse self-reported asthma control (β = .14, p = .021), but not lung function (β = -.05, p = .41).
Depressive symptoms were associated with greater perceived impairment from asthma, but not pulmonary function. Over-perception of asthma symptoms may play a key role in the relationship between depression and asthma outcomes in older adults.
Depressive symptoms were associated with greater perceived impairment from asthma, but not pulmonary function. Over-perception of asthma symptoms may play a key role in the relationship between depression and asthma outcomes in older adults.
The biopsychosocial model provides a useful perspective for understanding the development and characteristics of the COVID-19 pandemic and its anticipated long-term consequences for society as well as individuals. This article provides a biopsychosocial perspective on the COVID pandemic and an editorial comment on the articles in this Special Issue of Psychosomatic Medicine. Based on analysis of the PubMed database, it is shown that the attention to psychological and social factors is 74% higher in COVID-19-related articles compared to all other health-related scientific articles published during the same time-period (between 1/1/2020 and 4/18/2021). Specifically, 18.6% of the ≈123,500 articles addressing COVID-19-related topics also included psychological or social factors in their content vs. 10.7% of articles that did not address COVID-19. The biopsychosocial model is relevant to understanding the interrelationships among risk factors and the multidimensional clinical and psychosocial COVID-19 outcomes. addition, psychosocial outcomes range in severity from frequently observed reduced psychological wellbeing to less common clinical mood and anxiety disorders and, in rare cases, suicidality. The COVID-19 pandemic is characterized by an unusually strong and short-term link between social factors and biological aspects of the disease, without mediating psychological factors. After a review of the articles presented in this Special Issue, this editorial concludes with suggestions for biopsychosocial models in research on COVID-19 and other large-scale health threats.
The Great Recession in 2008 was a period of severe economic upheaval and myriad financial stressors. Financial stress is associated with poorer health, but for whom is this stress the most health-relevant? The current study examined the association between financial stressors and mortality, as well as whether this association varied based on people's financial status.
Participants from the Midlife in the United States study (n = 2760) were assessed before (2004-2005) and after (2013-2014) the Great Recession (2008). Mortality status was then tracked from 2013 to 2017.
People who experienced more financial stressors during the Great Recession were at greater risk of early mortality over the 4-year follow-up (hazard ratio [HR] = 1.14 [1.00-1.29], p = .046). This association was moderated by the importance of financial security (B = 0.34 [0.08-0.59], p = .009). Financial stressors were more strongly associated with mortality among people who reported that financial security was important to their well-being (HR = 1.
Homepage: https://www.selleckchem.com/products/cid755673.html
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