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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The HPA axis and ethanol: a synthesis of mathematical modelling and experimental observations
|
|---|---|
| Published in |
Addiction Biology, May 2016
|
| DOI | 10.1111/adb.12409 |
| Pubmed ID | |
| Authors |
Željko Čupić, Ana Stanojević, Vladimir M. Marković, Ljiljana Kolar‐Anić, Lars Terenius, Vladana Vukojević |
| Abstract |
Stress and alcohol use are interrelated-stress contributes to the initiation and upholding of alcohol use and alcohol use alters the way we perceive and respond to stress. Intricate mechanisms through which ethanol alters the organism's response to stress remain elusive. We have developed a stoichiometric network model to succinctly describe neurochemical transformations underlying the stress response axis and use numerical simulations to model ethanol effects on complex daily changes of blood levels of cholesterol, 6 peptide and 8 steroid hormones. Modelling suggests that ethanol alters the dynamical regulation of hypothalamic-pituitary-adrenal (HPA) axis activity by affecting the amplitude of ultradian oscillations of HPA axis hormones, which defines the threshold with respect to which the response to stress is being set. These effects are complex-low/moderate acute ethanol challenge (<8 mM) may reduce, leave unaltered or increase the amplitude of ultradian cortisol (CORT) oscillations, giving rise to an intricate response at the organism level, offering also a potential explanation as to why apparently discordant results were observed in experimental studies. In contrast, high-dose acute ethanol challenge (>8 mM) increases instantaneous CORT levels and the amplitude of ultradian CORT oscillations in a dose-dependent manner, affecting the HPA axis activity also during the following day(s). Chronic exposure to ethanol qualitatively changes the HPA axis dynamics, whereas ethanol at intoxicating levels shuts down this dynamic regulation mechanism. Mathematical modelling gives a quantitative biology-based framework that can be used for predicting how the integral HPA axis response is perturbed by alcohol. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Student > Master | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 19% |
| Medicine and Dentistry | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Arts and Humanities | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 6 | 22% |
| Unknown | 10 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 July 2017.
All research outputs
#3,565,524
of 24,458,924 outputs
Outputs from Addiction Biology
#245
of 1,147 outputs
Outputs of similar age
#60,273
of 340,666 outputs
Outputs of similar age from Addiction Biology
#9
of 19 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,666 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.