The role of coactivator associated arginine methyltransferase 1 (CARM1) in nuclear receptor mediated transcription

Arginine methylation has been implicated in the regulation of gene expression. The coactivator-associated arginine methyltransferase 1 (CARMI/PRMT4) binds the p160 family of steroid receptor coactivators (SRCs). This association enhances transcriptional activation by nuclear receptors. Here, we generated and characterized CARM1 knockout mice. Embryos with a targeted disruption of CARM1 are 35% smaller in size than the wild-type littermates and die perinatally. We also generated Carm1-/- and Carm1+/+ mouse embryonic fibroblasts and tested gene expression in response to estrogen. Estrogenresponsive gene expression was aberrant in Carm1-/- fibroblasts and embryos, thus emphasizing the role of arginine methylation as a transcription activation tag. We subsequently studied the role of CARM1 in estrogen signaling in viva in the mammary gland. Conditional knockout of CARM1 in mammary gland and Carml-1-embryonic mammary anlagen transplant experiments did not show any defects in growth and development of the glands. To further dissect the role of CARM1 in estrogen receptor mediated transactivation, we performed cDNA microarray and serial analysis of gene expression on Carm1-/- and Carm1+/+ embryos treated with the estrogen analog, DES. Our results indicate global changes in estrogen regulated genes as well as genes involved in lipid homeostasis. Marker genes for Peroxisome Proliferator Activated Receptor γ (PPARγ) activity, adipsin and aP2, are downregulated in the Carm1-/- embryos. Furthermore, OCT frozen sections of 18.5dpc embryos, processed simultaneously for oil red O staining to look for neutral fat, reveals greatly reduced brown fat accumulation in the Carm1-/- embryos in contrast to wild-type and gain-of-function Carm1 transgenic (ubiquitous) embryo. We used a well-established 3T3-L1 preadipocyte cell line to knockdown CARM1 by short hairpin RNA. 3T3-L1 cells with CARM1 knockdown showed greatly reduced potential to differentiate into mature lipid accumulating adipocytes upon administration of adipogenic stimuli. Ligand-dependent activation of reporter genes by the PPARγ receptor showed that PPRE-luciferase reporter activity was enhanced in the presence of CARM1, additionally, luciferase activity was reduced to background levels when enzyme dead CARM1 (CARM1-VLD) was used. Thus, in this study, we have identified novel pathways that use CARM1 as coactivator and showed that CARM1 functions as a key component of PPARγ receptor mediated gene expression. ^

Relationship between dietary patterns and body mass index in Hispanic children ages 4--19 years of age

Background. In over 30 years, the prevalence of overweight for children and adolescents has increased across the United States (Barlow et al., 2007; Ogden, Flegal, Carroll, & Johnson, 2002). Childhood obesity is linked with adverse physiological and psychological issues in youth and affects ethnic/minority populations in disproportionate rates (Barlow et al., 2007; Butte et al., 2006; Butte, Cai, Cole, Wilson, Fisher, Zakeri, Ellis, & Comuzzie, 2007). More importantly, overweight in children and youth tends to track into adulthood (McNaughton, Ball, Mishra, & Crawford, 2008; Ogden et al., 2002). Childhood obesity affects body functions such as the cardiovascular, respiratory, gastrointestinal, and endocrine systems, including emotional health (Barlow et al., 2007, Ogden et al., 2002). Several dietary factors have been associated with the development of obesity in children; however, these factors have not been fully elucidated, especially in ethnic/minority children. In particular, few studies have been done to determine the effects of different meal patterns on the development of obesity in children. Purpose. The purpose of the study is to examine the relationships between daily proportions of energy consumed and energy derived from fat across breakfast, lunch, dinner, and snack, and obesity among Hispanic children and adolescents. Methods. A cross-sectional design was used to evaluate the relationship between dietary patterns and overweight status in Hispanic children and adolescents 4-19 years of age who participated in the Viva La Familia Study. The goal of the Viva La Familia Study was to evaluate genetic and environmental factors affecting childhood obesity and its co-morbidities in the Hispanic population (Butte et al., 2006, 2007). The study enrolled 1030 Hispanic children and adolescents from 319 families and examined factors related to increased body weight by focusing on a multilevel analysis of extensive sociodemographic, genetic, metabolic, and behavioral data. Baseline dietary intakes of the children were collected using 24-hour recalls, and body mass index was calculated from measured height and weight, and classified using the CDC standards. Dietary data were analyzed using a GEE population-averaged panel-data model with a cluster variable family identifier to include possible correlations within related data sets. A linear regression model was used to analyze associations of dietary patterns using possible covariates, and to examine the percentage of daily energy coming from breakfast, lunch, dinner, and snack while adjusting for age, sex, and BMI z-score. Random-effects logistic regression models were used to determine the relationship of the dietary variables with obesity status and to understand if the percent energy intake (%EI) derived from fat from all meals (breakfast, lunch, dinner, and snacks) affected obesity. Results. Older children (age 4-19 years) consumed a higher percent of energy at lunch and dinner and less percent energy from snacks compared to younger children. Age was significantly associated with percentage of total energy intake (%TEI) for lunch, as well as dinner, while no association was found by gender. Percent of energy consumed from dinner significantly differed by obesity status, with obese children consuming more energy at dinner (p = 0.03), but no associations were found between percent energy from fat and obesity across all meals. Conclusions. Information from this study can be used to develop interventions that target dietary intake patterns in obesity prevention programs for Hispanic children and adolescents. In particular, intervention programs for children should target dietary patterns with energy intake that is spread throughout the day and earlier in the day. These results indicate that a longitudinal study should be used to further explore the relationship of dietary patterns and BMI in this and other populations (Dubois et al., 2008; Rodriquez & Moreno, 2006; Thompson et al., 2005; Wilson et al., in review, 2008). ^

Variance of familial dietary intake

Although many family-based genetic studies have collected dietary data, very few have used the dietary information in published findings. No single solution has been presented or discussed in the literature to deal with the problem of using factor analyses for the analyses of dietary data from several related individuals from a given household. The standard statistical approach of factor analysis cannot be applied to the VIVA LA FAMILIA Study diet data to ascertain dietary patterns since this population consists of three children from each family, thus the dietary patterns of the related children may be correlated and non-independent. Addressing this problem in this project will enable us to describe the dietary patterns in Hispanic families and to explore the relationships between dietary patterns and childhood obesity. ^ In the VIVA LA FAMILIA Study, an overweight child was first identified and then his/her siblings and parents were brought in for data collection which included 24 hour recalls and food frequency questionnaire (FFQ). Dietary intake data were collected using FFQ and 24 hour recalls on 1030 Hispanic children from 319 families. ^ The design of the VIVA LA FAMILIA Study has important and unique statistical considerations since its participants are related to each other, the majority form distinct nuclear families. Thus, the standard approach of factor analysis cannot be applied to these diet data to ascertain dietary patterns. In this project we propose to investigate whether the determinants of the correlation matrix of each family unit will allow us to adjust the original correlation matrix of the dietary intake data prior to ascertaining dietary intake patterns. If these methods are appropriate, then in the future the dietary patterns among related individuals could be assessed by standard orthogonal principal component factor analysis.^