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Optimized animal model to mimic the reality of stress-induced depression in the clinic

Overview of attention for article published in BMC Psychiatry, May 2017
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Title
Optimized animal model to mimic the reality of stress-induced depression in the clinic
Published in
BMC Psychiatry, May 2017
DOI 10.1186/s12888-017-1335-x
Pubmed ID
Authors

Yi Zhang, Yuting Wang, Hui Lei, Lei Wang, Liang Xue, Xin Wang, Xiongzhao Zhu

Abstract

Animal models are useful tools for verifying the relationship between stress and depression; however, an operational criterion for excluding the resilient animals from the analysis has not been established yet, which hinders the model's ability to more accurately mimic the scenario in humans. To induce depression-like symptoms, rats received maternal deprivation (MD) during PND1-14, and/or chronic unpredictable stress (CUS) exposure. The latent profile analysis (LPA) was used to determine latent subgroups in treatment naive adult rats. The percentile method was used to distinguish sensitive and non-sensitive behaviors in rats. The sucrose preference rate of treatment naive adult rats was fit using a Beta distribution, while immobility time was fit using a Gamma distribution. Indexes of behavioral tests revealed the 4-class model as the best fit for treatment naive adult rats. The incidence of stress-resilience in MD rats was significantly higher than that in CUS rats and MD + CUS rats. There was a significantly higher incidence of stress-resilience in CUS rats compared with MD + CUS rats. Recovery rate of anhedonia-like and sub anhedonia-like behaviors in CUS rats was significantly higher than that in MD and MD + CUS rats. There was a significantly higher recovery rate of anhedonia-like behaviors in MD rats compared to MD + CUS rats. The percentile method is suitable for setting up an operational cutoff to classify depression-like, sub depression-like, and resilient behaviors in rats exposed to MD and CUS.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Bachelor 10 16%
Researcher 5 8%
Student > Ph. D. Student 5 8%
Other 4 6%
Other 11 17%
Unknown 19 30%
Readers by discipline Count As %
Neuroscience 16 25%
Psychology 8 13%
Medicine and Dentistry 8 13%
Agricultural and Biological Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 7 11%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 May 2017.
All research outputs
#20,420,242
of 22,971,207 outputs
Outputs from BMC Psychiatry
#4,252
of 4,730 outputs
Outputs of similar age
#270,163
of 310,492 outputs
Outputs of similar age from BMC Psychiatry
#92
of 112 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.