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1.
Obesity (Silver Spring) ; 21(6): 1159-64, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23666854

ABSTRACT

OBJECTIVE: The increasing prevalence of obesity and related metabolic disorders coincides with increasing exposure to light at night. Previous studies report that mice exposed to dim light at night (dLAN) develop symptoms of metabolic syndrome. This study investigated whether mice returned to dark nights after dLAN exposure recover metabolic function. DESIGN AND METHODS: Male Swiss-Webster mice were assigned to either: standard light-dark (LD) conditions for 8 weeks (LD/LD), dLAN for 8 weeks (dLAN/dLAN), LD for 4 weeks followed by 4 weeks of dLAN (LD/dLAN), and dLAN for 4 weeks followed by 4 weeks of LD (dLAN/LD). RESULTS: After 4 weeks in their respective lighting conditions both groups initially placed in dLAN increased body mass gain compared to LD mice. Half of the dLAN mice (dLAN/LD) were then transferred to LD and vice versa (LD/dLAN). Following the transfer dLAN/dLAN and LD/dLAN mice gained more weight than LD/LD and dLAN/LD mice. At the conclusion of the study dLAN/LD mice did not differ from LD/LD mice with respect to weight gain and had lower fat pad mass compared to dLAN/dLAN mice. Compared to all other groups dLAN/dLAN mice decreased glucose tolerance as indicated by an intraperitoneal glucose tolerance test at week 7, indicating that dLAN/LD mice recovered glucose metabolism. dLAN/dLAN mice also increased MAC1 mRNA expression in peripheral fat as compared to both LD/LD and dLAN/LD mice, suggesting peripheral inflammation is induced by dLAN, but not sustained after return to LD. CONCLUSION: These results suggest that re-exposure to dark nights ameliorates metabolic disruption caused by dLAN exposure.


Subject(s)
Light , Obesity/epidemiology , Photoperiod , Animals , Body Mass Index , Energy Intake , Gene Expression , Glucose Tolerance Test , Male , Mice , Obesity/etiology , Weight Gain
2.
Mol Psychiatry ; 16(10): 987-95, 973, 2011 Oct.
Article in English | MEDLINE | ID: mdl-21727897

ABSTRACT

Particulate matter air pollution is a pervasive global risk factor implicated in the genesis of pulmonary and cardiovascular disease. Although the effects of prolonged exposure to air pollution are well characterized with respect to pulmonary and cardiovascular function, comparatively little is known about the impact of particulate matter on affective and cognitive processes. The central nervous system may be adversely affected by activation of reactive oxygen species and pro-inflammatory pathways that accompany particulate matter pollution. Thus, we investigated whether long-term exposure to ambient fine airborne particulate matter (<2.5 µm (PM(2.5))) affects cognition, affective responses, hippocampal inflammatory cytokines and neuronal morphology. Male mice were exposed to either PM(2.5) or filtered air (FA) for 10 months. PM(2.5) mice displayed more depressive-like responses and impairments in spatial learning and memory as compared with mice exposed to FA. Hippocampal pro-inflammatory cytokine expression was elevated among PM(2.5) mice. Apical dendritic spine density and dendritic branching were decreased in the hippocampal CA1 and CA3 regions, respectively, of PM(2.5) mice. Taken together, these data suggest that long-term exposure to particulate air pollution levels typical of exposure in major cities around the globe can alter affective responses and impair cognition.


Subject(s)
Dendrites/drug effects , Hippocampus/drug effects , Maze Learning/drug effects , Memory, Short-Term/drug effects , Particulate Matter/adverse effects , Analysis of Variance , Animals , Cytokines/genetics , Cytokines/metabolism , Depression/chemically induced , Escape Reaction/drug effects , Escape Reaction/physiology , Exploratory Behavior/drug effects , Exploratory Behavior/physiology , Hippocampus/immunology , Hippocampus/pathology , Male , Maze Learning/physiology , Memory, Short-Term/physiology , Mice , Mice, Inbred C57BL , Particulate Matter/pharmacology , RNA, Messenger/analysis , Random Allocation , Spatial Behavior/drug effects , Spatial Behavior/physiology , Statistics, Nonparametric
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