Knockdown of Esr1 from DRD1-Rich Brain Regions Affects Adipose Tissue Metabolism: Potential Crosstalk between Nucleus Accumbens and Adipose Tissue.

Declining estrogen (E2) leads to physical inactivity and adipose tissue (AT) dysfunction. Mechanisms are not fully understood, but E2's effects on dopamine (DA) activity in the nucleus accumbens (NAc) brain region may mediate changes in mood and voluntary physical activity (PA). Our prior work revealed that loss of E2 robustly affected NAc DA-related gene expression, and the pattern correlated with sedentary behavior and visceral fat. The current study used a new transgenic mouse model (D1ERKO) to determine whether the abolishment of E2 receptor alpha (ERα) signaling within DA-rich brain regions affects PA and AT metabolism. Adult male and female wild-type (WT) and D1ERKO (KD) mice were assessed for body composition, energy intake (EE), spontaneous PA (SPA), and energy expenditure (EE); underwent glucose tolerance testing; and were assessed for blood biochemistry. Perigonadal white AT (PGAT), brown AT (BAT), and NAc brain regions were assessed for genes and proteins associated with DA, E2 signaling, and metabolism; AT sections were also assessed for uncoupling protein (UCP1). KD mice had greater lean mass and EE (genotype effects) and a visible change in BAT phenotype characterized by increased UCP1 staining and lipid depletion, an effect seen only among females. Female KD had higher NAc Oprm1 transcript levels and greater PGAT UCP1. This group tended to have improved glucose tolerance (p = 0.07). NAc suppression of Esr1 does not appear to affect PA, yet it may directly affect metabolism. This work may lead to novel targets to improve metabolic dysfunction following E2 loss, possibly by targeting the NAc.

Examining enduring effects of COVID-19 on college students' internalizing and externalizing problems: A four-year longitudinal analysis.

BACKGROUND: College students' mental health has been a vital concern for researchers, policymakers, administrators, and educators since before the pandemic, and it is crucial to identify the extent to which the pandemic affected college students' mental health. METHODS: The current study utilized data repeatedly collected over more than four years (2017-2022) from N = 355 students enrolled at a large public research university in the Midwestern US. The data collection period coincided with the COVID-19 pandemic's onset, facilitating systematic examination of whether and how college students' trajectories (i.e., level and slopes) of depressive symptoms, social anxiety, general disinhibition, callous aggression, and problematic alcohol use changed as the pandemic progressed. Across seven waves, surveys assessed multiple outcome and predictor domains. Multilevel growth curve modeling was used to analyze all outcomes. RESULTS: Depression symptoms peaked mid-pandemic, whereas social anxiety first declined then continued rising. General disinhibition and callous aggression showed non-significant changes in trajectories. Problematic alcohol use decreased continuously with no significant pandemic-associated effects in the best-fitting model. LIMITATIONS: An important limitation is reliance on a sample from a single campus utilizing self-reported, non-clinical assessments. Another important limitation is the lack of location information from participants during the acute COVID-19 phase. CONCLUSIONS: Reported longitudinal analyses expand upon findings from previous limited repeated-measures and cross-sectional studies. In terms of clinical significance, some of the most harmful COVID-19 effects to mental health may be long-lasting and cumulative, making them difficult to detect in shorter-term or cross-sectional studies. Altogether, findings demonstrate complex changes in students' mental health that may have ongoing effects on well-being during key developmental stages.

COVID-19 pandemic effects on trajectories of college students' stress, coping, and sleep quality: A four-year longitudinal analysis.

College students' stress levels, coping strategies, and sleep quality are important indicators of functioning and further predict their health and well-being. The current study utilises data repeatedly collected over more than 4 years from students enroled at a large public research university in the Midwestern US. Our data collection period coincided with the COVID-19 pandemic's onset, facilitating systematic examination of whether and how college students' trajectories (i.e., level and slopes) of stress, coping, and sleep quality changed as the pandemic progressed. Across five waves, surveys assessed multiple outcome and predictor domains every 6 months. Analyses revealed differential courses of change for the outcomes. Stress levels were overall lower immediately after the onset but trended upwards as the pandemic continued. Reported coping reduced significantly after the onset and showed a steeper decline as the pandemic wore on. Sleep quality showed no significant pandemic changes over time, though sleep duration and timing showed initial onset effects. College students' stress, coping, and sleep changed in complex and nuanced ways after the pandemic's onset and findings from our longitudinal analyses expand upon those from previous limited repeated measure and cross-sectional studies. Altogether, findings demonstrate multifaceted changes that may have ongoing effects to affect well-being during key developmental stages.

Sweating the big stuff: Arousal and stress as functions of self-uncertainty and identification.

Groups serve a variety of crucial functions, one of which is the provision of an identity and belief system that impart self-referent information, thereby reducing self-uncertainty. Entitative groups are more attractive for highly uncertain participants seeking groups for identification and self-uncertainty reduction than less entitative groups. The purpose of the current study was to explore how self-uncertainty impacts physiological arousal and stress responses. Using a mixed-methods design (N = 123), we found that self-uncertainty increased physiological arousal (measured via skin-conductance level) and stress responses (measured via heart rate). Furthermore, we found that uncertainty-activated physiological arousal and stress responses were decreased through identification with a high entitativity group. Our findings expand upon uncertainty identity theory by identifying physiological mechanisms that motivate uncertainty reduction.

Remediation of PFAS-Contaminated Soil and Granular Activated Carbon by Smoldering Combustion.

This study explored smoldering combustion for remediating polyfluoroalkyl substance (PFAS)-impacted granular activated carbon (GAC) and PFAS-contaminated soil. GAC, both fresh and PFAS-loaded, was employed as the supplemental fuel supporting smoldering in mixtures with sand (≈175 mg PFAS/kg GAC-sand), with PFAS-spiked, laboratory-constructed soil (≈4 mg PFAS/kg soil), and with a PFAS-impacted field soil (≈0.2 mg PFAS/kg soil). The fate of PFAS and fluorine was quantified with soil and emission analyses, including targeted PFAS and suspect screening as well as hydrogen fluoride and total fluorine. Results demonstrated that exceeding 35 g GAC/kg soil resulted in self-sustained smoldering with temperatures exceeding 900 °C. Post-treatment PFAS concentrations of the treated soil were near (2 experiments) or below (7 experiments) detection limits (0.0004 mg/kg). Further, 44% of the initial PFAS on GAC underwent full destruction, compared to 16% of the PFAS on soil. Less than 1% of the initial PFAS contamination on GAC or soil was emitted as PFAS in the quantifiable analytical suite. Results suggest that the rest were emitted as altered, shorter-chain PFAS and volatile fluorinated compounds, which were scrubbed effectively with GAC. Total organic fluorine analysis proved useful for PFAS-loaded GAC in sand; however, analyzing soils suffered from interference from non-PFAS. Overall, this study demonstrated that smoldering has significant potential as an effective remediation technique for PFAS-impacted soils and PFAS-laden GAC.