A Comparison of Isolation Stress and Unpredictable Chronic Mild Stress for the Establishment of Mouse Models of Depressive Disorder
Jin-Seok Lee, Ji-Yun Kang, Chang-Gue Son
Frontiers in Behavioral Neuroscience · 2021
doi:10.3389/fnbeh.2020.616389 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
This study aimed to help to understand the influence of stress on depression, which reflects the social environments of especially solitary life and the increasing prevalence of depressive disorders. To determine the distinguishable features of two-representative animal models of stress-induced depressive disorder, we compared isolation stress (IS) and unpredictable chronic mild stress (UCMS). After 4-week of stress, both models showed significant depressive- and anxiety-like behaviors in an open field test (OFT; p < 0.01 for IS, p < 0.01 for UCMS), forced swimming test (FST; p < 0.01 for IS, p < 0.01 for UCMS), and tail suspension test (TST; p < 0.01 for IS, p < 0.05 for UCMS) along with alterations in serum corticosterone levels, serotonin activity in the dorsal raphe nuclei (DRN) and microglial activity in the dentate gyrus of the hippocampus (p < 0.05 for both parameters). In a comparison of the two stress models, IS strongly induced depressive and anxiety features, as indicated by all parameters: behavior test scores (p < 0.05 for OFT, FST, and TST), serum corticosterone levels (p < 0.05), immunohistological alterations for serotonin activity (p < 0.05) and microglial activity (p = 0.072). Our results indicate the suitability of IS for the development of animal models of depressive disorders and may reveal the medical impact of social isolation environment in modern society.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.