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Genetic and environmental influences on the frequency of orgasm in women.

This study reports on genetic and environmental influences on the frequency of orgasm in women during sexual intercourse, during other sexual contact with a partner, and during masturbation. Participants were drawn from the Australian Twin Registry, and recruited from a large, partly longitudinal twin-family study. Three thousand and eighty women responded to the anonymous self-report questionnaire, including 667 complete monozygotic (MZ) pairs and 377 complete dizygotic (DZ) same-sex pairs, 366 women from complete DZ opposite-sex pairs, and 626 women whose co-twins did not participate. Significant twin correlations were found for both MZ and DZ twin pairs for all three items of interest. Age effects were statistically significant for some items. Models incorporating additive genetic, shared and nonshared environmental influences provided the best fit for Items 1 and 3, while a model with additive and nonadditive genetic influences along with nonshared environment fitted the data from Item 2. While an independent pathway model fits the data most par-simoniously, a common pathway model incorporating additive genetic (A), shared environment (C), and unique environment (E) effects cannot be ruled out. Overall, genetic influences account for approximately 31% of the variance of frequency of orgasm during sexual intercourse, 37% of the variance of frequency of orgasm during sexual contact other than during intercourse, and 51% of the variance of frequency of orgasm during masturbation. Following Baker (1996), we speculate that this additive genetic variance might arise from frequency-dependent selection for a variety of female sexual strategies.

Environment↗

Estradiol stimulates the biosynthetic pathways of breast cancer cells: detection by metabolic flux analysis.

Selective estrogen receptor (ER) modulators are highly successful breast cancer therapies, but they are not effective in patients with ER negative and selective estrogen receptor modulator (SERM)-resistant tumors. Understanding the mechanisms of estrogen-stimulated proliferation may provide a route to design estrogen-independent therapies that would be effective in these patients. In this study, metabolic flux analysis was used to determine the intracellular fluxes that are significantly affected by estradiol stimulation in MCF-7 breast cancer cells. Intracellular fluxes were calculated from nuclear magnetic resonance (NMR)-generated isotope enrichment data and extracellular metabolite fluxes, using a specific flux analysis algorithm. The metabolic pathway model used by the algorithm includes glycolysis, the tricarboxylic acid cycle (TCA cycle), the pentose phosphate pathway, glutamine catabolism, pyruvate carboxylase, and malic enzyme. The pathway model also incorporates mitochondrial compartmentalization and reversible trans-mitochondrial membrane reactions to more accurately describe the role of mitochondria in cancer cell proliferation. Flux results indicate that estradiol significantly increases carbon flow through the pentose phosphate pathway and increases glutamine consumption. In addition, intra-mitochondrial malic enzyme was found to be inactive and the malate-aspartate shuttle (MAS) was only minimally active. The inactivity of these enzymes indicates that glutamine is not oxidized within mitochondria, but is consumed primarily to provide biosynthetic precursors. The excretion of glutamine carbons from the mitochondria has the secondary effect of limiting nicotinamide adenine dinucleotide (NADH) recycle, resulting in NADH buildup in the cytosol and the excretion of lactate. The observed dependence of breast cancer cells on pentose phosphate pathway activity and glutamine consumption for estradiol-stimulated biosynthesis suggests that these pathways may be targets for estrogen-independent breast cancer therapies.

Algorithms↗

Association chain graphs: modelling etiological pathways.

Multiple time-dynamic and interrelated risk factors are usually involved in the complex etiology of disorders. This paper presents a strategy to explore and display visually the relative importance of different association pathways for the onset of disorder over time. The approach is based on graphical chain models, a tool that is powerful but still under-utilized in most fields. Usually, the results of these models are displayed using directed acyclic graphs (DAGs). These draw an edge between a pair of variables whenever the assumption of conditional independence given variables on an earlier or equal temporal footing is violated to a statistically significant extent. In the present paper, the graphs are modified in that confidence intervals for the strengths of associations (statistical main effects) are visualized. These new graphs are called association chain graphs (ACGs). Statistical interactions cause 'edges' between the respective variables within the DAG framework (because the assumption of conditional independence is violated). In contrast they are represented as separate graphs within the subsample where the different association chains may work within the ACG framework. With this new type of graph, more specific information can be displayed whenever the data are essentially described only with statistical main- and two-way interaction effects.

Alcoholism↗

Diffusion of water in cat ventricular myocardium.

The rates of diffusion of tritiated water (THO) and [14C]sucrose across cat right ventricular myocardium were studied at 23 degrees C in an Ussing-type diffusion cell, recording the time-course of increase in concentration of tracer in one chamber over 4--6 h after adding tracers to the other. Sucrose data were fitted with a model for a homogeneous sheet of uneven thickness in which the tissue is considered to be an array of parallel independent pathways (parallel pathway model) of varying length. The volume of the sucrose diffusion space, presumably a wholly extracellular pathway, was 23% of the tissue or 27.4 +/-1.7% (mean +/- SEM; n=11) of the tissue water. The effective intramyocardial sucrose diffusion coefficient, D8, was 1.51 +/- 0.19 X 10(-6)cm2.s-1 (n=11). Combining these data with earlier data, D8 was 22.6 +/- 1.1% (n=95) of the free diffusion coefficient in aqueous solution D degrees 8. The parallel pathway model and a dead-end pore model, which might have accounted for intracellular sequestration of water, gave estimates of DW/D degrees W (observed/free) of 15%. Because hindrance to water diffusion must be less than for sucrose (where D8/D degrees 8=22.6%), this showed the inadequacy of these models to account simultaneously for the diffusional resistance and the tissue water content. The third or cell-matrix model, a heterogeneous system of permeable cells arrayed in the extracellular matrix, allowed logical and geometrically reasonable interpretations of the steady-state data and implied estimates of DW in the cellular and extracellular fluid of approximately 25% of the aqueous diffusion coefficient.

Animals↗

Exploring biomolecular machines: energy landscape control of biological reactions.

For almost 15 years, our Pathway model has been the most powerful model in terms of predicting the tunnelling mechanism for electron transfer (ET) in biological systems, particularly proteins. Going beyond the conventional Pathway models, we have generalized our method to understand how protein dynamics modulate not only the Franck-Condon factor, but also the tunnelling matrix element. We have demonstrated that when interference among pathways modulates the electron tunnelling interactions in proteins (particularly destructive interference), dynamical effects are of critical importance. Tunnelling can be controlled by protein conformations that lie far from equilibrium-those that minimize the effect of destructive interference during tunnelling, for example. In the opposite regime, electron tunnelling is mediated by one (or a few) constructively interfering pathway tubes and dynamical effects are modest. This new mechanism for dynamical modulation of the ET rate has been able to explain and/or predict several rates that were later confirmed by experiment. However, thermal fluctuations can also affect these molecular machines in many other ways. For example, we show how global transformations, which control protein functions such as allostery, may involve large-scale motion and possibly partial unfolding during the reaction event.

Azurin↗

Sawtooth contrast sensitivity: effects of mean illuminance and low temporal frequencies.

Temporal contrast sensitivity was measured for mirror-image sawtooth (rapid-on and rapid-off) and sine waveforms for a 1.8 deg foveal target. In one experiment, contrast sensitivity was measured for 2-26 Hz stimuli at target mean illuminance levels of 5-1260 td. At 5 td, contrast sensitivity functions for sawtooth and sine waveforms, expressed in terms of the Fourier fundamental amplitude, are equivalent. At higher light levels, sawtooth sensitivity increasingly exceeds sine sensitivity and rapid-off (decremental) sawtooths show progressively greater sensitivity than rapid-on (incremental) sawtooths. This pattern of results was obtained for two color-normal observers and for a deuteranopic observer. In a second experiment, sawtooth and sine sensitivity was tested at 500 td with an extended low-frequency range, to 0.5 Hz. Rapid-off and rapid-on sensitivities declined only slightly at low temporal frequencies in contrast with sine sensitivity. To interpret our data, we evaluate two single-pathway models (last-stage asymmetric detector and compressive response-intensity non-linearity) and a dual-pathway model in which incremental and decremental waveforms are detected by separate ON and OFF visual mechanisms.

Adaptation, Ocular↗

Convergent pathobiologic model of Parkinson's disease.

The etiology of Parkinson's disease (PD) has yet to be delineated. Human genetic studies as well as neurotoxicant and transgenic animal models of PD suggest that multiple events trigger the initiation of this progressive age-related neurodegenerative disorder. In addition, we propose that despite disparate disease triggers a convergent pathobiologic pathway exists leading to cell death. The common pathway model posits that both familial and sporadic forms of Parkinson's disease obligately share a common pathophysiological substrate. Herein we discuss the evidence for a common pathway model of Parkinson's disease through a review of synuclein transgenic models and outline an approach for the identification of shared therapeutic targets. We end with a discussion of a potential alternative therapy for Parkinson's disease.

Animals↗

A theoretical analysis of low-frequency sonophoresis: dependence of transdermal transport pathways on frequency and energy density.

PURPOSE: Application of low-frequency ultrasound has been shown to increase skin permeability, thereby facilitating delivery of macromolecules (low-frequency sonophoresis). In this study, we seek to determine the dependence of transport pathways during low-frequency sonophoresis on ultrasound parameters. METHODS: Pig skin is exposed to low-frequency ultrasound over a range of frequencies to achieve different skin resistivities. The porous pathway model is used to study the dependence of average pore size, porosity, and tortuosity on ultrasound parameters. Imaging experiments are also carried out to visualize the transport pathways created by ultrasound. RESULTS: The data show that the average pore size, determined from the porous pathway model, does not depend on application frequency. Both in the presence and absence of ultrasound the average pore size determined from mannitol delivery is the same (28 +/- 12 A). With the application of ultrasound the skin porosity could be increased by up to 1700-fold. The effect of ultrasound on skin is heterogeneous thereby creating localized transport pathways (LTP). The porosity of these transport pathways is of the same order of magnitude as that of the dermis. CONCLUSIONS: With this study it is shown that low-frequency ultrasound increases skin permeability by increasing skin porosity rather than by increasing the size of the pores that are responsible for permeant delivery.

Administration, Cutaneous↗

Activation of multiple oncogene pathways: a model for experimental carcinogenesis.

Evidence from experimental animal tumor models suggests that in many instances, the identity and mechanism of activation of cellular oncogenes is a function of both carcinogen and tissue specificity. In addition, the activation of no single oncogene has yet been found to be either sufficient or necessary for tumorigenesis in any particular experimental system. A hypothesis to account for these and other molecular and biological observations of experimental tumorigenesis has been developed. The hypothesis is based on the premise that multiple tissue specific groups or pathways of oncogenes exist in each cell, and that activation of all the oncogenes in any of these alternative pathways leads to transformation. It is assumed that each oncogene (which may be a member of one or more pathways) has a spontaneous and a carcinogen specific probability of activation. The latter value will vary from carcinogen to carcinogen. By modelling the spontaneous and carcinogen specific probabilities of activation of each gene, the number and identity of genes in each pathway, and the number of pathways in a particular cell type, it is possible to calculate the relative potency of carcinogens, the percentage of tumors containing each activated oncogene, the dose-response relationship, and other parameters. Use of this hypothetical model gives results consistent with experimental observations on oncogene activation in carcinogen-induced animal tumors.

Animals↗

NASPE Young Investigator Awardee-1993. Computer model of the atrioventricular node predicts reentrant arrhythmias.

INTRODUCTION: Following atrial premature beats, the AV node may exhibit sustained reentrant tachyarrhythmias, isolated echo beats, or discontinuities in the recovery curve (the plot of conduction time versus atrial cycle length). A computer model was used to examine the hypothesis that spatial variation of AV nodal passive electrical resistance may account for these phenomena. METHODS AND RESULTS: A computer model of a rectangular lattice of electrotonically linked elements whose ionic kinetics simulated nodal ionic flux was developed. The model showed that there exists a resistance value that minimizes the effective refractory period, because high resistance prevents depolarization of distal elements, while low resistance allows leakage of depolarizing current by electrotonic transmission, preventing activation of proximal elements. High resistances stabilized reentry by slowing conduction. Simulations incorporating equal resistance values between elements predicted increased AV nodal conduction times with increasing prematurity of atrial impulses. A model with a gradual change in resistance between fibers produced discontinuities and tachycardia, but not both simultaneously. Uniform anisotropy produced preferential transverse block, leading to echo beats and "fast-slow" tachycardia, but not recovery curve discontinuities. Nonuniform anisotropy could produce reentry, but tachycardia often occurred without discontinuities. Dividing the lattice into two electrotonically linked parallel pathways with different resistance values ("dual pathway model") predicted recovery curve discontinuities, echo beats, and tachycardia. At critical atrial cycle lengths, only the (high resistance) slow pathway conducted antegradely, while the fast pathway conducted retrogradely, to generate the typical "slow-fast" tachycardia. Responses of the dual pathway model to ablation were consistent with clinical data, including the previous observation of a decrease in fast pathway effective refractory period after slow pathway ablation. CONCLUSION: Differences in passive electrical resistance of electronically linked dual pathways within the AV node may account for functional longitudinal dissociation, reentrant arrhythmias, and responses to catheter ablation therapy.

Awards and Prizes↗

The time to tumor approach in risk assessment.

The multistage model is currently a widely used mathematical tool in carcinogen risk assessment to obtain a low-dose linear non-threshold slope for estimating cancer risks and comparing carcinogens with respect to potency. However, the multistage model is a single pathway model, whereas biological evidence indicates that carcinogenesis proceeds through multiple pathways. Furthermore, recent studies suggest that carcinogens induce a generalized increase in the susceptibility to neoplastic transformation triggered as rare events by cell proliferation. Such evidence supports the dtn = c time to tumor model in a modified form.

Carcinogens↗

Electron transfer in ruthenium-modified proteins.

Photochemical techniques have been used to measure the kinetics of intramolecular electron transfer in Ru(bpy)2(im)(His)2(+)-modified (bpy = 2,2'-bipyridine; im = imidazole) cytochrome c and azurin. A driving-force study with the His33 derivatives of cytochrome c indicates that the reorganization energy (lambda) for Fe2+-->Ru3+ ET reactions is 0.8 eV. Reductions of the ferriheme by either an excited complex, *Ru2+, or a reduced complex, Ru+, are anomalously fast and may involve formation of an electronically excited ferroheme. The distance dependence of Fe2+-->Ru3+ and Cu+-->Ru3+ electron transfer in 12 different Ru-modified cytochromes and azurins has been analyzed using a tunneling-pathway model. The ET rates in 10 of the 12 systems exhibit an exponential dependence on metal-metal separation (decay constant of 1.06 A-1) that is consistent with prediction of the pathway model.

Azurin↗

The Greek key protein apo-pseudoazurin folds through an obligate on-pathway intermediate.

Folding of the 123 amino acid residue Greek key protein apo-pseudo azurin from Thiosphaera pantotropha has been examined using stopped-flow circular dichroism in 0.5 M Na2SO4 at pH 7.0 and 15 degrees C. The data show that the protein folds from the unfolded state with all eight proline residues in their native isomers (seven trans and one cis) to an intermediate within the dead-time of the stopped-flow mixing (50 ms). The urea dependence of the rates of folding and unfolding of the protein were also determined. The ratio of the folding rate to the unfolding rate (extrapolated into water) is several orders of magnitude too small to account for the equilibrium stability of the protein, consistent with the population of an intermediate. Despite this, the logarithm of the rate of folding versus denaturant concentration is linear. These data can be rationalised by the population of an intermediate under all refolding conditions. Accordingly, kinetic and equilibrium measurements were combined to fit the chevron plot to an on-pathway model (U <==> I <==> N). The fit shows that apo-pseudoazurin rapidly forms a compact species that is stabilised by 25 kJ/mol before folding to the native state at a rate of 2 s-1. Although the data can also be fitted to an off-pathway model (I <==> U <==> N), the resulting kinetic parameters indicate that the protein would have to fold to the native state at a rate of 86,000 s-1 (a time constant of only 12 microseconds). Similarly, models in which this intermediate is bypassed also lead to unreasonably fast refolding rates. Thus, the intermediate populated during the refolding of apo-pseudoazurin appears to be obligate and on the folding pathway. We suggest, based on this study and others, that some intermediates play a critical role in limiting the search to the native state.

Apoproteins↗

Adenovirus subversion of immune surveillance, apoptotic and growth regulatory pathways: a model for tumorigenesis.

The adenovirus system provides a novel model for evaluating the roles of multiple factors involved in tumour progression. In common with other DNA tumour viruses, adenovirus employs a variety of strategies to evade immune surveillance and perturbs cellular apoptotic and growth regulatory pathways to ensure efficient replication of progeny virions. Such subversion of cellular networks is also found in tumour cells. The mechanism behind the avoidance of immune surveillance and the extent of cellular network interference achieved by adenovirus is still being uncovered and is predicted to have ramifications for the design of cancer therapeutics.

Adenoviridae↗