Chronic ingestion of soy peptide supplementation reduces aggressive behavior and abnormal fear memory caused by juvenile social isolation

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 21, 2024

Abstract Juvenile loneliness is a risk factor for psychopathology in later life. Deprivation of early social experience due to peer rejection has detrimental impact on emotional and cognitive brain function adulthood. Accumulating evidence indicates that soy peptides have many positive effects higher rodents humans. However, the peptide use juvenile isolation are unknown. Here, we demonstrated reduced deterioration behavioral cellular functions resulting from socially-isolated rearing. We found prolonged post-weaning male C57BL/6J mice resulted aggression impulsivity fear memory deficits at 7 weeks age, these abnormalities, except impulsivity, were mitigated by ingestion peptides. Furthermore, daily intake caused upregulation postsynaptic density 95 medial prefrontal cortex phosphorylation cyclic adenosine monophosphate response element binding protein hippocampus socially isolated mice, increased monophosphate-activated kinase hippocampus, altered microbiota composition. These results suggest protective against isolation-induced via synaptic maturation functionalization.

Language: Английский

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Endocannabinoid system and aggression across animal species

Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 153, P. 105375 - 105375

Published: Aug. 27, 2023

Language: Английский

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Correlates of Social Isolation in Forensic Psychiatric Patients with Schizophrenia Spectrum Disorders: An Explorative Analysis Using Machine Learning

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(5), P. 4392 - 4392

Published: March 1, 2023

The detrimental effects of social isolation on physical and mental health are well known. Social is also known to be associated with criminal behavior, thus burdening not only the affected individual but society in general. Forensic psychiatric patients schizophrenia spectrum disorders (SSD) at a particularly high risk for lacking integration support due their involvement justice system severe illness. present study aims exploratively evaluate factors unique sample forensic SSD using supervised machine learning (ML) 370 inpatients. Out >500 possible predictor variables, 5 emerged as most influential ML model: attention disorder, alogia, crime motivated by ego disturbances, total PANSS score, history negative symptoms. With balanced accuracy 69% an AUC 0.74, model showed substantial performance differentiating between without isolation. findings show that mainly influenced related illness psychopathology instead committed offences, e.g., severity crime.

Language: Английский

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‘Is it just a matter of impulse control?’ A cross-cultural study in offline and online aggression among Japanese and European burnout students

Kwartalnik Pedagogiczny, Journal Year: 2023, Volume and Issue: 68(3), P. 111 - 137

Published: Jan. 1, 2023

Abundant evidence has demonstrated a strong relationship between aggressive behaviour, one of the most common problems among students at every stage education all over world, and trait for impulsiveness. Impulsiveness is also connected to diverse enduring psychopathology. However, studies that tested burnout syndrome, impulsivity, aggression are scarce. Accordingly, current study examined role academic cross- cultural differences (Japanese vs European culture) in association impulsivity online offline university (N = 291; Mage 22.66 years; SD 4.35; 31% males). The participants filled self-report measures Academic Burnout (MBI-SS); Impulsivity (BIS-15); Offline Aggression (Buss-Perry AQ), Cyber-Aggression Types (CATQ). results revealed burnout, both indicators positively interrelated. Moreover, interaction effect culture European) was significant almost characteristics. significance altogether confirmed rage/cyber type. main implications suggestions future research related importance as crucial factors either or cyber levels.

Language: Английский

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Toward understanding the neural mechanisms involved in early life stress‐induced aggression

Journal of Neurochemistry, Journal Year: 2024, Volume and Issue: 168(6), P. 957 - 960

Published: Feb. 27, 2024

Abstract Early life stress, such as childhood abuse and neglect, is one of the major risk factors for development antisocial behavior. In rat models, repeated maternal separation (MS) in which pups are separated from dams a few hours each day during first 2–3 weeks life, increases aggressive behavior adult males. This Editorial highlights an article current issue Journal Neurochemistry that demonstrates involvement central nucleus amygdala (CeA) escalation MS model. The authors show rats exhibit higher c‐Fos expression CeA encounter compared to non‐isolated control rats. Unexpectedly, other subnuclei did not differential activation between groups. Using optogenetics, they provide direct evidence neurons intermale bilateral shifts behavioral patterns toward more qualitatively intense than unilateral activation. These findings highlight important role abnormal aggression indicate this region may be therapeutic target human induced by early stress. image

Language: Английский

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Sociodemographic Variables in Offender and Non-Offender Patients Diagnosed with Schizophrenia Spectrum Disorders—An Explorative Analysis Using Machine Learning

Healthcare, Journal Year: 2024, Volume and Issue: 12(17), P. 1699 - 1699

Published: Aug. 26, 2024

With the growing availability of medical data and enhanced performance computers, new opportunities for analysis in research are emerging. One these modern approaches is machine learning (ML), an advanced form statistics broadly defined as application complex algorithms. ML provides innovative methods detecting patterns datasets. This enables identification correlations or prediction specific events. These capabilities especially valuable multifactorial phenomena, such those found mental health forensic psychiatry. also allows quantification quality emerging statistical model. The present study aims to examine various sociodemographic variables order detect differences a sample 370 offender patients non-offender patients, all with schizophrenia spectrum disorders, through discriminative model building using ML. In total, 48 were tested. Out seven algorithms, gradient boosting emerged most suitable dataset. finally included three (regarding country birth, residence status, educational status) yielded area under curve (AUC) 0.65, meaning that discrimination based purely on rather poor.

Language: Английский

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Editorial: Neuroscience of Resilience for Mental Health

Neuroscience Research, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

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