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Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

Complex LDs in multiple academic domains are common sequelae among broadly middle class, predominantly white, neurologically normal children with ELBW compared with control peers. The developmental etiology of LDs in children with ELBW and control peers differs.

Background and Aims There is some evidence that posttraumatic stress disorder (PTSD) and early life adversity may influence metabolic outcomes such as obesity, diabetes, and cardiovascular disease. However, whether and how these interact is not clear. Methods We analyzed data from a cross-sectional and a longitudinal study to determine how PTSD severity influences obesity, insulin sensitivity, and key measures and biomarkers of cardiovascular risk. We then looked at how PTSD and early life adversity may interact to impact these same outcomes. Results PTSD severity is associated with increasing risk of obesity, diabetes, and cardiovascular disease, with higher symptoms correlating with higher values of BMI, leptin, fibrinogen, and blood pressure, and lower values of insulin sensitivity. PTSD and early life adversity have an additive effect on these metabolic outcomes. The longitudinal study confirmed findings from the cross sectional study and showed that fat mass, leptin, CRP, ICAM, and TNFRII were significantly increased with higher PTSD severity during a 2.5 year follow-up period. Conclusions Individuals with early life adversity and PTSD are at high risk and should be monitored carefully for obesity, insulin resistance, and cardiometabolic risk.

The Saccharomyces cerevisiae Cdc42p GTPase is localized to the plasma membrane and involved in signal transduction mechanisms controlling cell polarity. The mechanisms of action of the dominant negative cdc42 D118A mutant and the lethal, gain of function cdc42 G12V mutant were examined. Cdc42 D118A,C188S p and its guanine-nucleotide exchange factor Cdc24p displayed a temperature-dependent interaction in the twohybrid system, which correlated with the temperature dependence of the cdc42 D118A phenotype and supported a Cdc24p sequestration model for the mechanism of cdc42 D118A action. Five cdc42 mutations were isolated that led to decreased interactions with Cdc24p. The isolation of one mutation (V44A) correlated with the observations that the T35A effector domain mutation could interfere with Cdc42 D118A,C188S p-Cdc24p interactions and could suppress the cdc42 D118A mutation, suggesting that Cdc24p may interact with Cdc42p through its effector domain. The cdc42 G12V mutant phenotypes were suppressed by the intragenic T35A and K183-187Q mutations and in skm1⌬ and cla4⌬ cells but not ste20⌬ cells, suggesting that the mechanism of cdc42 G12V action is through the Skm1p and Cla4p protein kinases at the plasma membrane. Two intragenic suppressors of cdc42 G12V were also identified that displayed a dominant negative phenotype at 16°C, which was not suppressed by overexpression of Cdc24p, suggesting an alternate mechanism of action for these dominant negative mutations.The establishment of cell polarity is crucial for the control of many cellular and developmental processes, such as the generation of cell shape, the intracellular movement of organelles, and the secretion and deposition of new cell surface constituents (1). Polarized growth in the yeast Saccharomyces cerevisiae occurs in response to both internal and external signals, resulting in different morphological structures (2-5). The mechanics of cell polarity initiation during the mitotic cell cycle can be divided into three sequential phases: (i) nonrandom bud site selection; (ii) organization of proteins at the bud site; and (iii) bud emergence and polarized growth. Genetic and biochemical studies have identified over 25 proteins, including several GTPases and components of the actin cytoskeleton, that are involved in the regulation of the cell polarity pathway in S. cerevisiae (1, 6, 7).At least six members of the Ras superfamily of GTPases (Rsr1p/Bud1p, Cdc42p, Rho1p, Rho2p, Rho3p, and Rho4p) are involved in controlling cell polarity in S. cerevisiae. These proteins are active when in the GTP-bound state and inactive in the GDP-bound state (8, 9). The activity of these GTPases is controlled by regulatory proteins, such as guanine-nucleotide exchange factors, GTPase-activating proteins, and guanine-nucleotide dissociation inhibitors, as well as by the intracellular localization of the GTPase. Rsr1p/Bud1p is a member of the Ras subfamily and is responsible for bud site selection at one of the two cell poles, but it is not required for bud emergence or polari...

Objective Adherence to a healthy diet has been shown to decrease the incidence of obesity and associated comorbidities. C-reactive protein (CRP) is an established inflammatory marker and irisin was recently identified as a molecule which may play a role in energy regulation and obesity but whether diet alters irisin levels remains unknown. We aimed to investigate the association between circulating irisin, leptin, and CRP levels and dietary quantity and quality using the Alternate Healthy Eating Index (AHEI) and the Alternate Mediterranean Diet Score (aMED). Materials/Methods The study evaluated dietary data and biomarker levels of 151 participants between 2009 and 2011 (71 male vs. 80 female, over 35 years old, obese 43.7%). AHEI and aMED scores were calculated based on data derived from self-administered 110-item food-frequency questionnaires estimating usual nutrient intake over the past year. Cross-sectional associations between dietary quantity, quality, body composition by bioelectric impedance, and biomarker levels including irisin, leptin, and CRP after fasting were assessed. Results CRP, but not irisin, was negatively correlated with AHEI (r = −0.34) and aMED (r = −0.31). Irisin was positively correlated with BMI (r = 0.22), fat mass (r = 0.21), waist circumference (r = 0.24), waist-hip ratio (r = 0.20), leptin (r = 0.32), and CRP (r = 0.25). Participants with the highest AHEI scores tended to have 11.6% lower concentrations of irisin (P for trend =0.09), but they were not significant after adjustment for potential confounders. Better diet quality was associated with lower CRP concentrations (P for trend=0.02) in multivariate model. Percentage of energy from carbohydrate was inversely associated with CRP. Conclusions Unlike CRP, irisin is not associated with dietary quality or quantity.

Early-life adversity is directly associated with elevated circulating leptin and irisin, and indirectly associated with elevated CRP and decreased adiponectin. These findings suggest that these adipomyokines may play a role in the pathogenesis of metabolic abnormality in a population with significant early life adversity.

Objective This study examined whether a novel indicator of overall childhood adversity, incorporating number of adversities, severity, and chronicity, predicted central obesity beyond contributions of “modifiable” risk factors including psychosocial characteristics and health behaviors in a diverse sample of midlife adults. The study also examined whether the overall adversity score (number of adversities X severity X chronicity) better predicted obesity compared to cumulative adversity (number of adversities), a more traditional assessment of childhood adversity. Materials/Methods 210 Black/African Americans and White/European Americans, mean age = 45.8; ±3.3 years, were studied cross-sectionally. Regression analysis examined overall childhood adversity as a direct, non-modifiable risk factor for central obesity (waist-hip ratio) and body mass index (BMI), with and without adjustment for established adult psychosocial risk factors (education, employment, social functioning) and heath behavior risk factors (smoking, drinking, diet, exercise). Results Overall childhood adversity was an independent significant predictor of central obesity, and the relations between psychosocial and health risk factors and central obesity were not significant when overall adversity was in the model. Overall adversity was not a statistically significant predictor of BMI. Conclusions Overall childhood adversity, incorporating severity and chronicity and cumulative scores, predicts central obesity beyond more contemporaneous risk factors often considered modifiable. This is consistent with early dysregulation of metabolic functioning. Findings can inform practitioners interested in the impact of childhood adversity and personalizing treatment approaches of obesity within high-risk populations. Prevention/intervention research is necessary to discover and address the underlying causes and impact of childhood adversity on metabolic functioning.