| Literature DB >> 32185413 |
Stefan Kleinbeck1, Michael Schäper2, Marlene Pacharra2,3, Marie Louise Lehmann2,4, Klaus Golka2, Meinolf Blaszkewicz2, Thomas Brüning5, Christoph van Thriel2.
Abstract
Sensory irritation is an acute adverse effect caused by chemicals that stimulate chemoreceptors of the upper respiratory tract or the mucous membranes of the outer eye. The avoidance of this end point is of uttermost importance in regulatory toxicology. In this study, repeated exposures to ethyl acrylate were analyzed to investigate possible carryover effects from day to day for different markers of sensory irritation. Thirty healthy subjects were exposed for 4 h on five subsequent days to ethyl acrylate at concentrations permitted by the German occupational exposure limit at the time of study. Ratings of eye irritation as well as eye blinking frequencies indicate the elicitation of sensory irritation. These markers of sensory irritation showed a distinct time course on every single day. However, cumulative carryover effects could not be identified across the week for any marker. The rhinological and biochemical markers could not reveal hints for more pronounced sensory irritation. Neither increased markers of neurogenic inflammation nor markers of immune response could be identified. Furthermore, the performance on neurobehavioral tests was not affected by ethyl acrylate and despite the strong odor of ethyl acrylate the participants improved their performances from day to day. While the affected physiological marker, the increased eye blinking frequency stays roughly on the same level across the week, subjective markers like perception of eye irritation decrease slightly from day to day though the temporal pattern of, i.e., eye irritation perception stays the same on each day. A hypothetical model of eye irritation time course derived from PK/PD modeling of the rabbit eye could explain the within-day time course of eye irritation ratings repeatedly found in this study more precisely.Entities:
Keywords: 5-Day controlled exposure study; Biochemical markers of neurogenic inflammation; Ethyl acrylate; Eye blinking frequencies; Objective measures of irritation; Perceptual ratings; Sensory irritation
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Year: 2020 PMID: 32185413 PMCID: PMC7261732 DOI: 10.1007/s00204-020-02703-8
Source DB: PubMed Journal: Arch Toxicol ISSN: 0340-5761 Impact factor: 5.153
Fig. 1Time courses of the measured ethyl acrylate concentration during the two conditions (0 ppm and 0–10 ppm) together with times of LMS ratings and eye blinking frequency measures. The solid line indicates the control condition (0 ppm), and the dashed line the varying condition (0–10 ppm)
Fig. 2Mean ratings during the 0–10 ppm exposure condition in the current study (triangles) and in Kleinbeck et al. (2017) (squares)
Fig. 3Temporal pattern of eye blinking frequencies during the 0–10 ppm exposure condition in the current study (triangles) and in Kleinbeck et al. (2017) (squares)
Fig. 4Eye irritation rating (a) and eye blinking frequencies (b) regarding across-days factor (5 exposure days: different diagrams), within-day factor (different measures), and condition/concentration factor (control condition: black circle and experimental condition: thin cross)
Fig. 5Eye irritation rating (a) and eye blinking frequencies (b) regarding across-days factor (5 exposure days) and condition/concentration factor (control condition: black circle and experimental condition: thin cross). Bonferroni corrected post hoc tests **p < 0.01 *p < 0.05
Fig. 6Eye blinking frequencies (a) and eye irritation ratings (b) regarding within-days factor (different measures) and condition/concentration factor (control condition: black circle and experimental condition: thin cross)
Fig. 7Hypothetical time course of eye irritation based on assumptions derived from PK/PD models of the rabbit eye (red line) in relation to the time course of concentration (dashed line) and the ratings of eye irritation at different time points at day 1 of exposure (black dots) together with predicted values (red dots) derived from a model fitted to the data of Kleinbeck et al. (2017) (colour figure online)
Fig. 8Change in performance (% correct and correct responses’ reaction time) for the investigated neurobehavioral tests (flanker task is split in performance on compatible and incompatible stimuli)