Citations

ABSTRACTMany important complex diseases are composed of a series of phenotypes, which makes the disease diagnosis and its genetic dissection difficult. The standard procedures to determine heritability in such complex diseases are either applied for single phenotype analyses or to compare findings across phenotypes or multidimensional reduction procedures, such as principal components analysis using all phenotypes. However each method has its own problems and the challenges are even more complex for extended family data and categorical phenotypes. In this paper, we propose a methodology to determine a scale for complex outcomes involving multiple categorical phenotypes in extended pedigrees using item response theory (IRT) models that take all categorical phenotypes into account, allowing informative comparison among individuals. An advantage of the IRT framework is that a straightforward joint heritability parameter can be estimated for categorical phenotypes. Furthermore, our methodology allows many possible extensions such as the inclusion of covariates and multiple variance components. We use Markov Chain Monte Carlo algorithm for the parameter estimation and validate our method through simulated data. As an application we consider the metabolic syndrome as the multiple phenotype disease using data from the Baependi Heart Study consisting of 1,696 individuals in 95 families. We adjust IRT models without covariates and include age and age squared as covariates. The results showed that adjusting for covariates yields a higher joint heritability () than without co variates () indicating that the covariates absorbed some of the error variance.

Sex refers to biological differences between men and women. Although sex is a fundamental aspect of human physiology that splits the population in two approximately equal halves, this essential biological variable is rarely considered in the design of basic physiological studies, in translating findings from basic science to clinical research, or in developing personalized medical strategies. Contrary to sex, gender refers to social and cultural factors related to being a man or a woman in a particular historical and cultural context. Unfortunately, gender is often used incorrectly by scientists and clinical investigators as synonymous with sex. This article clarifies the definition of sex and gender and reviews evidence showing how sex and gender interact with each other to influence etiology, presentation of disease, and treatment outcomes. In addition, strategies to improve the inclusion of female and male human beings in preclinical and clinical studies will be presented, and the importance of embedding concepts of sex and gender into postgraduate and medical curricula will be discussed. Also, provided is a list of resources for educators. In the history of medical concepts, physiologists have provided pivotal contributions to understanding health and disease processes. In the future, physiologists should provide the evidence for advancing personalized medicine and for reducing sex and gender disparities in health care.

Interindividual variability in sympathetic nerve activity (SNA) has provided insight into integrative mechanisms contributing to blood pressure (BP) regulation in humans. In young people, the influence of high SNA on BP is balanced by lower cardiac output and less adrenergic vasoconstrictor responsiveness. Older people have higher SNA and higher BP. We hypothesized that SNA has a restraining effect on peripheral vasodilator responsiveness in young and older men, such that individuals with higher tonic SNA would show less forearm vasodilatation to exogenous vasodilators. We measured muscle SNA (MSNA; microneurography) and forearm vasodilator responses to intra-arterial infusions of acetylcholine (ACh; endothelium dependent) and sodium nitroprusside (SNP; endothelium independent) in 13 young (age; 27 ± 1 yr) and 16 older (61 ± 2 yr) men. Forearm vascular conductance (FVC) responses to ACh were lower in the older men at the two highest doses (2 and 4 μg·100 ml−1·min−1; Δ395 ± 81 vs. 592 ± 87% and 412 ± 87 vs. 616 ± 132%, P < 0.05), and MSNA was higher (64 ± 4 vs. 41 ± 2 bursts/100 hb; P < 0.05). There was no difference in the FVC response to SNP between young and older men ( P > 0.05). In young men, there was an inverse relationship between resting MSNA and FVC responses (%change) to both ACh and SNP ( r = −0.83 and r = −0.83, respectively; P < 0.05). In older men, however, this relationship was not observed. Tonic SNA may act to restrain vasodilator responses in young men, whereas in older men a lack of such restraint may be protective against the pressor effects of higher SNA.