EVIDENCE OF AN ADSORPTION-DESORPTION MODEL FOR HUMAN IRRITANT PERCEPTION

The temporal irritant response was evaluated for six concentrations of capsaicin, cinnamaldehyde, andpiperine, using time-intensity (TI) methodology. TI curves were evaluated using six TI parameters: maximum intensity (I_max), time-to-maximum (T_max), plateau time (T_plat), total time (T_tot), maximum rate of onset (M_onset) and maximum rate of decay (M_decay) of perception. Maximum intensity was used to evaluate the appropriateness of the Beidler taste equation, calculate the degree of affinity of the stimuli for the receptor (K_b), Gibbs free energy values, and the other TI parameter were used to quantify the adsorption desorptionprocesses. For cinnamaldehyde and capsaicin, correlation coefficients for the proposed Beidler taste model were 0.999, and 0.996, respectively. The large association constants (K_b) for cinnamaldehyde (25 M₋₁) and capsaicin (5.2 × 10⁴ M₋₁), compared to taste compounds, were consistent with their steep psychophysical functions and their persistent aftertastes. Concentration dependencies of T_max T_plat, T_tot, M_onset and M_decay, fit linear and semi-hyperbolic functions and were congruous with the proposed adsorption- desorption model for irritant perception.     

A Response-Additive Model for Analyzing Mixtures of Two Chemicals in the Salmonella Reversion Assay

A statistical model is proposed for analyzing the mutagenic responses produced by mixtures of two chemicals in the Salmonella reversion assay. This model is based on the simplex-lattice design for mixtures with the total concentration fixed. The dose-response relationship is expressed as a function of both the proportions of the two chemicals and the total concentration of the chemicals in the mixture. If the joint action of two chemicals can be predicted by response-additivity, then the response of the mixture at the total concentration T can be represented by the weighted average of the responses produced by the individual chemicals at the same concentration T with the weights for individual responses being equal to the proportions of the chemicals in the mixture. Two non-additive models, synergism and antagonism, are discussed. An example is illustrated by analyzing the joint mutagenic effects of 1-nitrobenzo(a)pyrene (1-NBP), and 3-NBP in the Salmonella reversion assay.     

Risk assessment for quantitative responses using a mixture model

A problem that frequently occurs in biological experiments with laboratory animals is that some subjects are less susceptible to the treatment than others. A mixture model has traditionally been proposed to describe the distribution of responses in treatment groups for such experiments. Using a mixture dose-response model, we derive an upper confidence limit on additional risk, defined as the excess risk over the background risk due to an added dose. Our focus will be on experiments with continuous responses for which risk is the probability of an adverse effect defined as an event that is extremely rare in controls. The asymptotic distribution of the likelihood ratio statistic is used to obtain the upper confidence limit on additional risk. The method can also be used to derive a benchmark dose corresponding to a specified level of increased risk. The EM algorithm is utilized to find the maximum likelihood estimates of model parameters and an extension of the algorithm is proposed to derive the estimates when the model is subject to a specified level of added risk. An example is used to demonstrate the results, and it is shown that by using the mixture model a more accurate measure of added risk is obtained.     

Long-Term Selection Response for 12-Day Litter Weight in Mice

Long-term selection for increased 12-day litter weight in two replicate lines (W₂, W₃) of mice resulted in an apparent selection limit at about 17 generations. Quadratic polynomial and exponential models were fitted to the data in order to estimate the plateaued response and half-life of the selection process. Using the polynomial results, the half-life estimates were 4.5 and 8.6 generations for W₂ and W₃, respectively. The plateaued responses were 5.1 and 5.8 g which, when expressed in phenotypic standard deviation units, became 1.1 and 1.3. The exponential model provides similar estimates. A negative association between 12-day litter weight and fitness was not considered to be an adequate explanation for the plateau since there was no decrease in fertility of the selected lines. Evidence that exhaustion of genetic variability was not the cause of the plateau came from the immediate response to reverse selection. It was proposed that the plateau may be due to a negative genetic correlation between direct and maternal genetic effects, which would be expected to occur after many generations of selection. There were positive correlated responses in both replicates for adult body weight, which was in agreement with the positive genetic correlation between preweaning and postweaning body weight. The expected positive correlated response for number born was realized in only one of the replicates.     

Responsiveness of neurons in the hamster parabrachial nuclei to taste mixtures

Responses from hamster parabrachial nuclei neurons to stimulation of the anterior tongue with sucrose, NaCl, HCl, quinine hydrochloride, and the six two-component mixtures of these stimuli were recorded. A cell's response to a mixture approached its response to the mixture's more effective component in the majority of cases, but was sometimes greater or smaller than this response. The best predictor of a neuron's response to a mixture, then, was its response to the mixture's more effective component. The single-component stimulus producing the maximum response was determined for each neuron and the response to this stimulus was compared with the responses evoked by the six mixtures. For 30% of the cells, a mixture elicited a response reliably, but only 1.1-2.1 times greater than the response to the best single-component stimulus. Thus, there were no neurons specialized to respond to these mixtures. The across-neuron patterns elicited by mixtures and the responses of best-stimulus classes to mixtures were studied for comparison with psychophysical data on taste mixtures. Mixtures were usually correlated with single-component stimuli in the mixture, but not with stimuli not in the mixture. In fact, five of the six mixtures fell directly between their components in a multidimensional scaling plot. In addition, a mixture was most effective in stimulating only those classes of neurons maximally stimulated by the mixture's components. These results correlate with psychophysical data suggesting that mixtures of taste stimuli evoke the same taste qualities as evoked by the mixture's components.     

Retraction fibers and leucocyte chemotaxis

Calculation of the attractant concentrations during leucocyte chemotaxis allows the possibility of a multiple-receptor model in which receptors on retraction fibers and the cell body can detect gradients by the absolute differences in concentration between receptors.     

Discrimination of oilseed rape volatiles by the honeybee: combined chemical and biological approaches

Honeybees (Apis mellifera L.) were individually subjected to a classical conditioning procedure in order to obtain an olfactory conditioned proboscis extension response. To relate the behavioural response directly to antennal detection abilities, a technique was developped for coupling proboscis extension responses and electroantennogram recordings, with the stimulation being provided by the effluent of a gas chromatograph (GC). Bees were conditioned with a six-component mixture being part of oilseed rape (Brassica napus L.) floral volatiles, and tested with the individual components separated by GC. Responses of the conditioned bees were compared to those of unconditioned bees. No behavioural response was obtained in the control group, neither to the individual components nor to the mixture. Conditioning induced behavioural responses for three components, and an increase of electroantennogram responses for all components. A second experiment was conducted with an air entrainment extract of oilseed rape flower volatiles. Behavioural responses of conditioned and unconditioned bees were recorded. Responses obtained from conditioned bees tested with the air entrainment extract showed six groups of behaviourally active GC peaks. Unconditioned bees showed the same pattern of responses but at a lower level. The coupled technique described here appears to be a reliable tool for locating active components in a synthetic as well as in a natural mixture of floral volatiles. The effects of conditioning on odour discrimination and on its sensory correlates are discussed.     

Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout

The analysis of longitudinal repeated measures data is frequently complicated by missing data due to informative dropout. We describe a mixture model for joint distribution for longitudinal repeated measures, where the dropout distribution may be continuous and the dependence between response and dropout is semiparametric. Specifically, we assume that responses follow a varying coefficient random effects model conditional on dropout time, where the regression coefficients depend on dropout time through unspecified nonparametric functions that are estimated using step functions when dropout time is discrete (e.g., for panel data) and using smoothing splines when dropout time is continuous. Inference under the proposed semiparametric model is hence more robust than the parametric conditional linear model. The unconditional distribution of the repeated measures is a mixture over the dropout distribution. We show that estimation in the semiparametric varying coefficient mixture model can proceed by fitting a parametric mixed effects model and can be carried out on standard software platforms such as SAS. The model is used to analyze data from a recent AIDS clinical trial and its performance is evaluated using simulations.     

Stimulation of a Primary Taste Receptor by Salts

A quantitative study was made of the repetitive response of the salt receptor cell of the blowfly taste receptor. The response begins at a high frequency and declines to a steady frequency during brief stimuli. The initial response was found to be a sigmoid function of the log of stimulus intensity over a short range of intensities. It was shown that a theory (Beidler, 1954; for mammalian salt receptors) that relates the magnitude of the steady response to stimulus intensity applies to this receptor. From the theory, it was calculated that the relative free energy change of the reaction between salt and receptor site was in the range 0 to -1 kcal/mole; and, therefore, the reaction probably involves weak physical forces. Evidence is given that the salt-combining sites of the receptor are anionic and strongly acidic and that consequently the cation of a salt largely dominates stimulation. Preliminary evidence suggests that the receptor has a high degree of specificity toward salts, being stimulated primarily by monovalent inorganic cations.     

Electro-olfactogram and multiunit olfactory receptor responses to binary and trinary mixtures of amino acids in the channel catfish, Ictalurus punctatus

In vivo electrophysiological recordings from populations of olfactory receptor neurons in the channel catfish, Ictalurus punctatus, clearly showed that responses to binary and trinary mixtures of amino acids were predictable with knowledge obtained from previous cross-adaptation studies of the relative independence of the respective binding sites of the component stimuli. All component stimuli, from which equal aliquots were drawn to form the mixtures, were adjusted in concentration to provide for approximately equal response magnitudes. The magnitude of the response to a mixture whose component amino acids showed significant cross-reactivity was equivalent to the response to any single component used to form that mixture. A mixture whose component amino acids showed minimal cross-adaptation produced a significantly larger relative response than a mixture whose components exhibited considerable cross-reactivity. This larger response approached the sum of the responses to the individual component amino acids tested at the resulting concentrations in the mixture, even though olfactory receptor dose-response functions for amino acids in this species are characterized by extreme sensory compression (i.e., successive concentration increments produce progressively smaller physiological responses). Thus, the present study indicates that the response to sensory stimulation of olfactory receptor sites is more enhanced by the activation of different receptor site types than by stimulus interaction at a single site type.     

Inhibition of cellular immune responses by Tylophora indica in experimental models.

Tylophora alkaloids have been shown to have antiasthmatic, antiinflammatory and antianaphylactic properties. Since all these disorders are a consequence of altered immunological status, the effect of these alkaloids on model immune reactions were studied. Crude extract of the leaves of Tylophora indica inhibited delayed hypersensitivity reaction to sheep red blood cells in rats when the alkaloid mixture was administered before and after immunization with these cells. The alkaloid mixture also inhibited contact sensitivity to dinitro-fluorobenzene in mice when given prior to or after contact sensitization. Lymphocytes taken from contact sensitized mice, when treated with tylophora alkaloid in vitro and transferred into naive syngeneic hosts, could suppress the transfer of delayed type hypersensitivity (DTH) response. However, the tylophora alkaloids could not suppress primary humoral (IgM) immune response to SRBC in mice at the same dose. These studies suggest that tylophora alkaloids suppress cellular immune responses when administered at any stage during the immune response.     

Amino acids as taste stimuli for tsetse flies

Abstract.This paper reports the responses of taste cells on the legs of the blood-feeding tsetse fly Glossina fuscipes fuscipes Newstead 1910 (Diptera: Glossinidae) to twenty protein amino acids and to their mixture as it is present in human sweat. It is investigated whether the mixture is sensed differently than the amino acids singly. The taste cells are most sensitive to phenylalanine (K≈ 1 μm ) and tyrosine; and they respond in a lesser degree to methionine, valine, isoleucine, cysteine, tryptophan, histidine, alanine, and threonine. The amino acids serine, proline, asparagine, arginine, glutamine, lysine, aspartic acid, glutamic acid, and glycine give little or no response even at 10 mm . As the succession of effectiveness of the amino acids appears to be the same for all cells, it is deduced that the flies are unable to discriminate the amino acids by comparing responses across sensory cells. A temporal coding of quality does not seem feasible either. Thus, the properties of the taste cells limit the sense to assessing the intensity of an amino acid stimulus and not its identity. Although several parameters in the response adaptation curves are concentration-dependent, it is suggested that the flies judge intensity of a stimulus only from the first 50 or so milliseconds. Although other studies and these indicate that a multiplicity of binding sites may be responsible for the reception of amino acids, the response to the mixture can be predicted from a no-interaction model, whereby each ligand's access to the binding sites is proportional to its mole fraction. It is argued that this may be the case for more of the naturally occurring mixtures which comprise structurally similar ligands. The responses to the mixture and to phenylalanine alone are equally susceptible to inhibition by sodium chloride. It is suggested that, although discrimination of hosts probably requires another sense, the sense of taste is an excellent tool to detect a host underfoot during the local search for a feeding site.     

Effect of temperature on the walking behaviour of an egg parasitoid: disentangling kinetic response from integrated response

1. This study investigated the effect of temperatures ranging from 10.8 to 34.2 °C on seven walking parameters of an egg parasitoid, Anaphes listronoti. Those responses were compared with a theoretical kinetic model in order to disentangle the kinetic response of the insect from its integrated response. 2. Walking speed increased continuously with temperature, but walking distance and duration were maximised between 25 and 30 °C, and decreased at higher and lower temperatures. At the lowest temperature, females unexpectedly walked a greater distance and for a longer duration in comparison with intermediate temperatures. 3. The number of walking bouts followed the same polynomial trend as walking distance and duration, with a maximum between 30 and 35 °C. The duration of walking bouts was maximised at 20 °C and decreased at lower and higher temperatures, whereas the duration of resting bouts linearly decreased with increasing temperature. There was no effect of temperature on the turning rate of females. 4. For A. listronoti, walking speed and duration of resting bouts followed the kinetic response, but the other behavioural components did not, especially at the lowest and highest temperatures. Walking distance and duration were higher than expected under the kinetic response at 10.8 °C and lower than expected at 34.2 °C. This pattern suggests an integrated response combining behavioural escape from adverse temperature and energy saving. 5. This detailed analysis of the walking behaviour of A. listronoti illustrates the complexity of insect behavioural responses to temperature and the difficulty involved in assessing underlying mechanisms.     

Mixture Markov regression model with application to mosquito surveillance data analysis

A mixture Markov regression model is proposed to analyze heterogeneous time series data. Mixture quasi‐likelihood is formulated to model time series with mixture components and exogenous variables. The parameters are estimated by quasi‐likelihood estimating equations. A modified EM algorithm is developed for the mixture time series model. The model and proposed algorithm are tested on simulated data and applied to mosquito surveillance data in Peel Region, Canada.     

Design Efficiency and Estimation for Component Amount Models

Component amount models were introduced by Piepel and Cornell (1985) to describe mixture experiments where the response depends not only on the proportions of the components but also on the total amount. The extended simplex centroid design supported by the barycenters corresponding to the regression functions in the model is D-optimal or fails to be D-optimal depending on the regression model under consideration. For two special component amount models, namely the ν-tic polynomial and the minimum polynomial of degree ν, the efficiency of the simplex centroid design was investigated. This covers the presentation of new results concerning the D-optimality as well as the assessment of the simplex centroid design in non-optimal situations by means of the G-efficiency. Formulae for the least squares estimates as well as their variances are presented.     

Temporal dissociation of taste mixture components

Reaction times to salty and bitter tastes as single stimuliand in mixture were measured using response time deadlines rangingfrom 300 to 2500 ms. Salty reaction times were the same whethersalty was in mixture with bitter or a single stimulus, and theywere always shorter than bitter reaction times. Reaction timeto bitter was slower in mixture with salty than as a singletaste. Salty, alone and in mixture, was correctly identifiedon {small tilde}80% of the trials within 500 ms while correctbitter identifications did not reach similar levels until 1000ms. Bitter in mixture with salty never reached that level ofcorrect responding and correct responses actually decreasedslightly at response time deadlines of 2500 ms. The resultsshow that differences in taste onset latency are great enoughto allow identification of single tastes in mixtures.     

Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data

Recent advancements in miniaturized fluorescence microscopy have made it possible to investigate neuronal responses to external stimuli in awake behaving animals through the analysis of intracellular calcium signals. An ongoing challenge is deconvolving the temporal signals to extract the spike trains from the noisy calcium signals' time series. In this article, we propose a nested Bayesian finite mixture specification that allows the estimation of spiking activity and, simultaneously, reconstructing the distributions of the calcium transient spikes' amplitudes under different experimental conditions. The proposed model leverages two nested layers of random discrete mixture priors to borrow information between experiments and discover similarities in the distributional patterns of neuronal responses to different stimuli. Furthermore, the spikes' intensity values are also clustered within and between experimental conditions to determine the existence of common (recurring) response amplitudes. Simulation studies and the analysis of a dataset from the Allen Brain Observatory show the effectiveness of the method in clustering and detecting neuronal activities.     

Effects of binary taste stimuli on the neural activity of the hamster chorda tympani

Binary mixtures of taste stimuli were applied to the tongue of the hamster and the reaction of the whole corda tympani was recorded. Some of the chemicals that were paired in mixtures (HCl, NH4Cl, NaCl, CaCl2, sucrose, and D-phenylalanine) have similar tastes to human and/or hamster, and/or common stimulatory effects on individual fibers of the hamster chorda tympani; other pairs of these chemicals have dissimilar tastes and/or distinct neural stimulatory effects. The molarity of each chemical with approximately the same effect on the activity of the nerve as 0.01 M NaCl was selected, and an established relation between stimulus concentration and response allowed estimation of the effect of a "mixture" of two concentrations of one chemical. Each mixture elicited a response that was smaller than the sum of the responses to its components. However, responses to some mixtures approached this sum, and responses to other mixtures closely approached the response to a "mixture" of two concentrations of one chemical. Responses of the former variety were generated by mixtures of an electrolyte and a nonelectrolyte and the latter by mixtures of two electrolytes or two nonelectrolytes. But, beyond the distinction between electrolytes and nonelectrolytes, the whole-nerve response to a mixture could not be predicted from the known neural or psychophysical effects of its components.