Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain

Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. == References ==. broad group differences between genders and races/ethnicities exist, personality represents an important source of individual differences in inflammation within groups. Future work should examine to what extent IL-6 levels are linked to temperament or genetic activity levels vs. physical activity itself, and whether IL-6 levels may be reduced by boosting regular activity levels in demographic segments such as women and minorities who appear susceptible to greater inflammation. Keywords:Interleukin-6, Gender differences, Race/Ethnicity, Extraversion, Activity, Primary Care == 1. Introduction == Gender, race/ethnicity, and individual differences in personality are MK-571 powerful sources of variation in both psychosocial and biological attributes. Yet the extent to which each is associated with underlying inflammation remains unclear. In this paper, we focus specifically on gender, racial ethnic, and personality variation in the inflammatory cytokine interleukin (IL)- 6, because it is an important indicator of allostatic load (De Martinis, Franceschi, Monti, et al., 2005;Franceschi, Bonafe, Valensin, et al., 2000), included in allostatic load composites (Glei, Goldman, Chuang, & Weinstein, 2007), and hence theoretically Rabbit Polyclonal to Catenin-beta linked to stress-related factors which may differ by gender, race/ethnicity, and personality. We note, however, that IL-6 was not originally included in allostatic load composites. It has, however, been show to be highly predictive of mortality (Grunewald, Seeman, Ryff, Karlamangla, & Singer, 2006;Harris, T, Ferrucci, Tracy, Corti, Wacholder, Ettinger, et al., 1999), with mortality risk reportedly doubling at levels of 3.19 picograms per milliliter (pg/ml) (Harris et al., 1999). We also focus on a middle aged and older sample, given the cumulative nature of chronic stress adaptation and systemic inflammation (De Martinis, Franceschi, Monti, et al., 2005), and on the urban primary care population, given the large minority representation often served by these clinics (Fiscella & Williams, 2004). Prior reports on gender differences in IL-6 have been mixed.OConnor et al. (2007)reported higher levels of IL-6 in lipopolysaccharide (LPS)-stimulated monocytes from women compared to men (mean age of 36.2 yrs). In contrast, others have observed a small but significant increase in LPS-stimulated production of IL-6 in young adult males compared to females (Von Aulock et al., 2006), and another study conducted in young adults found no significant gender differences in levels of serum IL-6 (Yang et al., 2007). Other report higher levels of IL-6 among women in older samples (Grunewald et al., 2006).Suarez (2008)also recently found that sleep may account to some degree for gender differences in inflammation. Differences in serum IL-6 have also been observed MK-571 in racially-diverse women over the age of 65, with higher levels of IL-6 observed in African American women compared to Causcasians (Allison et al., 2006;Walston et al., 2005). In contrast, no significant differences in serum IL-6 were observed in African Americans versus Caucasians in a mixed gender sample aged 7079 (Yaffe et al, 2003). If such differences in inflammation do exist however, they may constitute one conceivable explanation forgeneral susceptibility,or the notion that individuals of disadvantaged socioeconomic status (SES) or disenfranchised groups show increased susceptibility to illness (Berkman & Kawachi, 2000). Furthermore, immune function is strongly influenced by psychosocial factors related to stress and coping (Coe & Laudenslager, 2007), and increased stressors such as perceived discrimination frequently encountered by historically disenfranchised groups (Williams, Yu, Jackson, J.S., Anderson, 1997) have been hypothesized to MK-571 increase allostatic load and resulting inflammation (Carlson & Chamberlain, 2005). Race/ethnicity and gender represent general demographic group MK-571 markers. However, considerable individual variation in inflammation may exist within genders and racial/ethnic groups related in part to social disadvantage and allostatic load. Five.