Time-course analysis of frontal gene expression profiles in the rat model of posttraumatic stress disorder and a comparison with the conditioned fear model
Open accessAbstract
Posttraumatic stress disorder (PTSD) is a complex disorder that involves physiological, emotional, and cognitive dysregulation that may occur after exposure to a life-threatening event. In contrast with the condition of learned fear with resilience to extinction, abnormal fear with impaired fear extinction and exaggeration are considered crucial factors for the pathological development of PTSD. The prefrontal cortex (mPFC) is considered a critical region of top-down control in fear regulation, which involves the modulation of fear expression and extinction. The pathological course of PTSD is usually chronic and persistent; a number of studies have indicated temporal progression in gene expression and phenotypes may be involved in PTSD pathology. In the current study, we use a well-established modified single-prolonged stress (SPS&FS) rat model to feature PTSD-like phenotypes and compared it with a footshock fear conditioning model (FS model); we collected the frontal tissue after extreme stress exposure or fear conditioning and extracted RNA for transcriptome-level gene sequencing. We compared the genetic profiling of the mPFC at early (<2 h after solely FS or SPS&FS exposure) and late (7 days after solely FS or SPS&FS exposure) stages in these two models. First, we identified temporal differences in the expressional patterns between these two models and found pathways such as protein synthesis factor eukaryotic initiation factor 2 (EIF2), transcription factor NF-E2-related factor 2 (NRF2)-mediated oxidative stress response, and acute phase responding signaling enriched in the early stage in both models with significant p-values. Furthermore, in the late stage, the sirtuin signaling pathway was enriched in both models; other pathways such as STAT3, cAMP, lipid metabolism, Gα signaling, and increased fear were especially enriched in the late stage of the SPS&FS model. However, pathways such as VDR/RXR, GP6, and PPAR signaling were activated significantly in the FS model's late stage. Last, the network analysis revealed the temporal dynamics of psychological disorder, the endocrine system, and also genes related to increased fear in the two models. This study could help elucidate the genetic temporal alteration and stage-specific pathways in these two models, as well as a better understanding of the transcriptome-level differences between them.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Studies using rat models of PTSD have identified significant temporal differences in gene expression patterns, highlighting pathways such as EIF2, NRF2-mediated oxidative stress response and sirtuin signaling.
“Studies using rat models of PTSD have identified significant temporal differences in gene expression patterns, highlighting pathways such as EIF2, NRF2-mediated oxidative stress response and sirtuin signaling [32,35,73].”
From Comprehensive review of chronic stress pathways and the efficacy of behavioral stress reduction programs (BSRPs) in managing diseases. (2024) · cites this paper as [32]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 92 · Cited by 5
- Authors
- Chang, S.-H., Chang, Y.-M., Chen, H.-Y., Shaw, F.-Z., & Shyu, B.-C.
- Affiliations
- Institute of Biomedical Sciences, Academia Sinica (TW)
- National Cheng Kung University (TW)
- Corresponding author
- Shyu, Bai-Chuang
- Venue
- Neurobiology of Stress
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 27
- Pages
- 100569
- ISSN
- 2352-2895 (ISSN-L)
- PMC
- PMC10522909
- OpenAlex
- W4386840630
- Cited by
- 5
- References
- 92
- Citations by year
- 2025: 3 · 2024: 2
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Neurobiology of Stress (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Academia Sinica (AS-CFII-111-213)
- Ministry of Science and Technology of the People's Republic of China
- Institute of Biomedical Sciences, Academia Sinica (MOST 109-2320-B-001-010)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- post-traumatic stress disorder, prefrontal cortex, gene expression, single prolonged stress, fear conditioning, fear extinction, time-course transcriptome, sirtuin signaling, eIF2, STAT3, PPAR signaling, cAMP signaling, network analysis, rat model
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review