Virtually every mammalian cell, including cardiomyocytes, possesses an intrinsic circadian clock. The role of this transcriptionally based molecular mechanism in cardiovascular biology is poorly understood. We hypothesized that the circadian clock within the cardiomyocyte influences diurnal variations in myocardial biology. We, therefore, generated a cardiomyocyte-specific circadian clock mutant (CCM) mouse to test this hypothesis. At 12 wk of age, CCM mice exhibit normal myocardial contractile function in vivo, as assessed by echocardiography. Radiotelemetry studies reveal attenuation of heart rate diurnal variations and bradycardia in CCM mice (in the absence of conduction system abnormalities). Reduced heart rate persisted in CCM hearts perfused ex vivo in the working mode, highlighting the intrinsic nature of this phenotype. Wild-type, but not CCM, hearts exhibited a marked diurnal variation in responsiveness to an elevation in workload (80 mmHg plus 1 M epinephrine) ex vivo, with a greater increase in cardiac power and efficiency during the dark (active) phase vs. the light (inactive) phase. Moreover, myocardial oxygen consumption and fatty acid oxidation rates were increased, whereas cardiac efficiency was decreased, in CCM hearts. These observations were associated with no alterations in mitochondrial content or structure and modest mitochondrial dysfunction in CCM hearts. Gene expression microarray analysis identified 548 and 176 genes in atria and ventricles, respectively, whose normal diurnal expression patterns were altered in CCM mice. These studies suggest that the cardiomyocyte circadian clock influences myocardial contractile function, metabolism, and gene expression.

This update of the human gene map for physical performance and health-related fitness phenotypes covers the research advances reported in 2006 and 2007. The genes and markers with evidence of association or linkage with a performance or a fitness phenotype in sedentary or active people, in responses to acute exercise, or for training-induced adaptations are positioned on the map of all autosomes and sex chromosomes. Negative studies are reviewed, but a gene or a locus must be supported by at least one positive study before being inserted on the map. A brief discussion on the nature of the evidence and on what to look for in assessing human genetic studies of relevance to fitness and performance is offered in the introduction, followed by a review of all studies published in 2006 and 2007. The findings from these new studies are added to the appropriate tables that are designed to serve as the cumulative summary of all publications with positive genetic associations available to date for a given phenotype and study design. The fitness and performance map now includes 214 autosomal gene entries and quantitative trait loci plus seven others on the X chromosome. Moreover, there are 18 mitochondrial genes that have been shown to influence fitness and performance phenotypes. Thus,the map is growing in complexity. Although the map is exhaustive for currently published accounts of genes and exercise associations and linkages, there are undoubtedly many more gene-exercise interaction effects that have not even been considered thus far. Finally, it should be appreciated that most studies reported to date are based on small sample sizes and cannot therefore provide definitive evidence that DNA sequence variants in a given gene are reliably associated with human variation in fitness and performance traits.

A common feature of all replication-competent retroviruses is that the primary transcription product from the proviral DNA contains at least three open reading frames, gag, po0, and env, positioned 5' to 3' in the RNA. This product is always a genome-length RNA that is spliced to generate subgenomic mRNAs. In the case of the "simpler" retroviruses, a single 5' splice site is positioned near the 5' end ofthe primary transcript and splicing involves the use ofone or two 3' acceptor sites positioned downstream in the RNA. Thus the subgenomic molecules are always singly spliced and have had most or all of the gag-pol region removed. However, because splicing is inefficient, enough full-length RNA remains to function both as the mRNA for the gag andpol genes and as the molecule that is packaged into virus particles (1).The situation in human immunodeficiency virus type 1 (HIV-1) is more complex. In this case, the coding regions for several novel genes are positioned near the center of the primary transcript between gag-pol and env and at the 3' end of the genome (2). The central region of the genome also contains several 5' and 3' splice sites, which, in conjunction with the conventionally positioned 5' splice site near the 5' end of the RNA, are used for differential splicing of the primary transcript into over 20 different species of mRNA (3-5). These RNAs are either singly or multiply spliced.In most cases, cellular mRNAs contain introns that are removed by splicing before transport to the cytoplasm occurs. Intron-containing RNAs are usually prevented from exiting the nucleus due to the binding of splicing factors (6, 7), although there are examples of differentially spliced cellular transcripts that are transported with a retained intron (8). Little is known about how these mRNAs are transported.The HIV Rev protein functions to allow nuclear export of unspliced and singly spliced HIV RNA molecules (9-12). These RNAs contain complete introns and are retained in the nucleus in the absence of Rev. The details of how Rev functions are not known, although it is clear it binds to a specific element in the HIV RNA known as the Revresponsive element (RRE) (13,14).Another genus of more complex retroviruses, typified by human T-lymphotropic virus (HTLV) types I and II, seems to have evolved a mechanism similar to that of HIV to facilitate the transport of intron-containing RNA. These viruses utilize a protein called Rex, which, like Rev, must bind to a specific element present in the viral RNA (RxRE) (15). Rex has also been shown to substitute for Rev in promoting the transport of Rev-dependent mRNA (16,17).While the more complex retroviruses have developed Rev and Rex regulation to allow the cytoplasmic expression of their intron-containing RNA, the simpler retroviruses do not seem to have similar trans-acting proteins. Thus, it has been a puzzle how these viruses achieve nuclear export of their full-length RNA that contains the gag-pol intron.Here we report the identification of a 219-nt element from Mason-Pfizer monkey ...

MicroRNAs (miRNAs) regulate cell physiology by altering protein expression, but the biology of platelet miRNAs is largely unexplored. We tested whether platelet miRNA levels were associated with platelet reactivity by genome-wide profiling using platelet RNA from 19 healthy subjects. We found that human platelets express 284 miRNAs. Unsupervised hierarchical clustering of miRNA profiles resulted in 2 groups of subjects that appeared to cluster by platelet aggregation phenotypes. Seventy-four miRNAs were differentially expressed (DE) between subjects grouped according to platelet aggregation to epinephrine, a subset of which predicted the platelet reactivity response. Using whole genome mRNA expression data on these same subjects, we computationally generated a highpriority list of miRNA-mRNA pairs in which the DE platelet miRNAs had binding sites in 3-untranslated regions of DE mRNAs, and the levels were negatively correlated. IntroductionOn rupture of atherosclerotic plaques, some persons form occlusive platelet thrombi whereas other persons repair the wound without occluding the vessel. The extreme interindividual variation in platelet reactivity probably contributes to the variation in both risk and clinical outcome of ischemic vascular disease because platelet hyper-reactivity has prospectively been shown to be a risk for recurrent coronary syndromes. 1 Although heritability strongly influences the interindividual variation in platelet reactivity, [2][3][4] there is a lack of understanding of the responsible genetic and molecular mechanisms. To understand better the basis for human platelet function, it is critical to define the genes that are expressed in the tissue of interest. We have previously used platelet RNA expression analyses from platelets of differing reactivity to identify differentially expressed (DE) platelet transcripts and proteins. 5 During the course of our studies, we found that a DE platelet microRNA (miRNA) altered the expression of VAMP8, a critical component of platelet granule exocytosis. miRNAs are small (ϳ 22 nucleotides) noncoding RNAs that function post-transcriptionally in regulating gene expression by inducing mRNA degradation or translation inhibition, generally by targeting the 3Ј-untranslated region (UTR) of mRNAs. 6 miRNAs were initially identified as regulators of genes involved in development but have since been shown to affect a broad range of normal physiologic processes, including hematopoietic lineage commitment, as well as pathologic conditions. 7,8 More than 1000 miRNAs have been identified, which are estimated to regulate most (Ͼ 60%) coding genes. 9 The cellular impact of most miRNA-mRNA interactions is a fine-tuning of protein output, and not a major repression of expression. 10 Importantly, as little as a 20% reduction in miRNA levels can produce a disease phenotype. 11 Recent data demonstrate a role for miRNAs in both normal and diseased human megakaryocytopoiesis. 8,12-17 Although we and others have observed miRNAs in platelets, 15,[18][19][20][21][22][23] th...

The close correspondence between energy intake and expenditure over prolonged time periods, coupled with an apparent protection of the level of body adiposity in the face of perturbations of energy balance, has led to the idea that body fatness is regulated via mechanisms that control intake and energy expenditure. Two models have dominated the discussion of how this regulation might take place. The set point model is rooted in physiology, genetics and molecular biology, and suggests that there is an active feedback mechanism linking adipose tissue (stored energy) to intake and expenditure via a set point, presumably encoded in the brain. This model is consistent with many of the biological aspects of energy balance, but struggles to explain the many significant environmental and social influences on obesity, food intake and physical activity. More importantly, the set point model does not effectively explain the ‘obesity epidemic’ – the large increase in body weight and adiposity of a large proportion of individuals in many countries since the 1980s. An alternative model, called the settling point model, is based on the idea that there is passive feedback between the size of the body stores and aspects of expenditure. This model accommodates many of the social and environmental characteristics of energy balance, but struggles to explain some of the biological and genetic aspects. The shortcomings of these two models reflect their failure to address the gene-by-environment interactions that dominate the regulation of body weight. We discuss two additional models – the general intake model and the dual intervention point model – that address this issue and might offer better ways to understand how body fatness is controlled.