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1.
Neuropsychopharmacology ; 46(9): 1584-1593, 2021 08.
Article in English | MEDLINE | ID: mdl-33941861

ABSTRACT

Territorial reactive aggression in mice is used to study the biology of aggression-related behavior and is also a critical component of procedures used to study mood disorders, such as chronic social defeat stress. However, quantifying mouse aggression in a systematic, representative, and easily adoptable way that allows direct comparison between cohorts within or between studies remains a challenge. Here, we propose a structural equation modeling approach to quantify aggression observed during the resident-intruder procedure. Using data for 658 sexually experienced CD-1 male mice generated by three research groups across three institutions over a 10-year period, we developed a higher-order confirmatory factor model wherein the combined contributions of latency to the first attack, number of attack bouts, and average attack duration on each trial day (easily observable metrics that require no specialized equipment) are used to quantify individual differences in aggression. We call our final model the Mouse Aggression Detector (MAD) model. Correlation analyses between MAD model factors estimated from multiple large datasets demonstrate generalizability of this measurement approach, and we further establish the stability of aggression scores across time within cohorts and demonstrate the utility of MAD for selecting aggressors which will generate a susceptible phenotype in social defeat experiments. Thus, this novel aggression scoring technique offers a systematic, high-throughput approach for aggressor selection in chronic social defeat stress studies and a more consistent and accurate study of mouse aggression itself.


Subject(s)
Aggression , Social Defeat , Animals , Behavior, Animal , Individuality , Male , Mice , Reference Standards , Social Behavior , Stress, Psychological
2.
Neuroscience ; 406: 225-233, 2019 05 15.
Article in English | MEDLINE | ID: mdl-30902680

ABSTRACT

Neural proliferation in the dentate gyrus (DG) is closely linked with learning and memory, but the transcriptional programming that drives adult proliferation remains incompletely understood. Our lab previously elucidated the critical role of the transcription factor ΔFosB in the dorsal hippocampus (dHPC) in learning and memory, and the FosB gene has been suggested to play a role in neuronal proliferation. However, the subregion-specific and potentially cell-autonomous role of dHPC ΔFosB in neurogenesis-dependent learning has not been studied. Here, we crossed neurotensin receptor-2 (NtsR2) Cre mice, which express Cre within the subgranular zone (SGZ) of dHPC DG, with floxed FosB mice to show that knockout of ΔFosB in hippocampal SGZ neurons reduces antidepressant-induced neurogenesis and impedes hippocampus-dependent learning in the novel object recognition task. Taken together, these data indicate that FosB gene expression in SGZ is necessary for both hippocampal neurogenesis and memory formation.


Subject(s)
Hippocampus/metabolism , Maze Learning/physiology , Neurogenesis/physiology , Neurons/metabolism , Proto-Oncogene Proteins c-fos/biosynthesis , Animals , Female , Hippocampus/cytology , Learning/physiology , Male , Mice , Mice, Transgenic , Proto-Oncogene Proteins c-fos/genetics
3.
JCO Clin Cancer Inform ; 2: 1-12, 2018 12.
Article in English | MEDLINE | ID: mdl-30652562

ABSTRACT

PURPOSE: Many survivors of breast cancer experience an array of chronic symptoms, including pain, insomnia, and fatigue. Few effective therapies have been identified. Behavioral management programs to address similar symptom clusters in other chronic conditions have been effective. The objective of this study was to determine the effect of an Internet-based lifestyle and behavioral self-management program on cancer-related symptoms. PATIENTS AND METHODS: Women with stage 0 to 3 breast cancer who reported insomnia, pain, or fatigue as their primary symptom of concern during the 7 days before enrollment were enrolled. Local therapies and/or chemotherapy were completed at least 3 months before enrollment. Patients were assessed at baseline and after 8 weeks, and they completed the Patient-Reported Outcomes Measurement Information System (PROMIS)-29 Profile and Patient Global Impression of Change (PGIC) questionnaire electronically. Change in each of the eight symptom domains was assessed. RESULTS: Fifty patients enrolled. In the 45 patients with both baseline and 8-week PROMIS data, statistically significant improvements in anxiety, sleep, fatigue, activity level, and pain severity were reported. Of the 35 patients who responded to the PGIC, 62.9% reported improvement in their primary symptom. Those who reported fatigue as their primary symptom reported greatest overall benefit in multiple symptom improvement, including improvements in fatigue, anxiety, pain severity, pain interference, and participation in social activities. CONCLUSIONS: These findings suggest that this lifestyle and behavioral management program may improve multiple symptoms in breast cancer survivors when delivered via the Internet. Randomized studies are warranted to evaluate the efficacy of the online intervention compared with standard symptom management approaches and to identify patients most likely to benefit.


Subject(s)
Breast Neoplasms/therapy , Cancer Survivors/statistics & numerical data , Internet/statistics & numerical data , Self-Management , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Female , Follow-Up Studies , Humans , Middle Aged , Neoplasm Staging , Pilot Projects , Prospective Studies , Survival Rate , Treatment Outcome
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