Correlation analysis of mental health conditions and personality of patients with alcohol addiction.

BACKGROUND: Alcohol addiction, or alcohol dependence, refers to a psychological state of strong craving for alcohol caused by drinking when both the drinking times and alcohol consumption reach a certain level. Alcohol addiction can cause irreversible damage, leading to mental illness or mental disorders, negative changes in their original personality, and a tendency to safety incidents such as committing suicide or violent attacks on others. Significant attention needs to be given to the mental health of alcohol addicts, which could reflect their abnormal personality traits. However, only a few papers on this issue have been reported in China. AIM: To investigate the correlation between mental health and personality in patients with alcohol addiction. METHODS: In this single-center observational study, we selected 80 patients with alcohol addiction as the research subjects, according to the criteria of the K10 scale to evaluate the mental health of patients with alcohol addiction, and divided these patients into four groups based on the evaluation results: Good, average, relatively poor and bad. And then analyzed the correlation between mental health conditions and personality characteristics from these four groups of patients. RESULTS: The average score of the K10 scale (Kessler 10 Simple Psychological Status Assessment Scale) in 80 patients with alcohol addiction was 25.45 points, the median score was 25 points, the highest score was 50 points, and the lowest score was 11 points. Pearson's analysis showed that the K10 score was positively correlated with the scores of these two subscales, such as the P-subscale and the N-subscale (P < 0.05). In contrast, the K10 score had no significant correlation with the scores from the E-subscale and the L-subscale (P > 0.05). CONCLUSION: The mental health conditions of patients with alcohol addiction are positively correlated with their personality characteristics.

Investigation on the psychological status of college students during the coronavirus disease-2019 epidemic.

This study is designed to investigate the mental health status of college students under the current coronavirus disease-2019 (COVID-19) pandemic and explore potential influential factors. We surveyed 1128 people including 435 medical students and 693 nonmedical students by a self-designed questionnaire containing general demographic characteristics, Self-Rating Anxiety Scale, Self-Rating Depression Scale, and Chinese Perceived Stress Scale. SPSS 23.0 software was used for statistical analysis. The incidence of anxiety, depression, and perceived stress were 8.4, 22.7, and 42.9% among college students during the COVID-19, respectively. Pearson correlation analysis showed that sex, specialty, and Family conflict were all positively associated with SAS, SDS, and CPSS (p<0.05). Stepwise linear retrospective analysis showed that family conflicts and specialty were the influencing factors of SAS, SDS, and CPSS. There were significantly differences between medical students and nonmedical students in the frequency of SDS abnormality score (Z=-4.125, p<0.001) and the frequency of CPSS abnormality (χ2=7.836, p=0.005). According to the results, we can come to the conclusion that college students have different degrees of psychological problems during the COVID-19. Family conflicts and specialty were the influencing factors of anxiety, depression, and perceived stress.

Sodium salicylate enhances neural excitation via reducing GABAergic transmission in the dentate gyrus area of rat hippocampus in vivo.

Sodium salicylate, one of the non-steroidal anti-inflammatory drugs, is widely prescribed in the clinic, but a high dose of usage can cause hyperactivity in the central nervous system, including the hippocampus. At present, the neural mechanism underlying the induced hyperactivity is not fully understood, in particular, in the hippocampus under an in vivo condition. In this study, we found that systemic administration of sodium salicylate increased the field excitatory postsynaptic potential slope and the population spike amplitude in a dose-dependent manner in the hippocampal dentate gyrus area of rats with in vivo field potential extracellular recordings, which indicates that sodium salicylate enhances basal synaptic transmission and neural excitation. In the presence of picrotoxin, a GABA-A receptor antagonist, sodium salicylate failed to increase the initial slope of the field excitatory postsynaptic potential and the amplitude of the population spike in vivo. To further explore how sodium salicylate enhances the neural excitation, we made whole-cell patch-clamp recordings from hippocampal slices. We found that perfusion of the slice with sodium salicylate decreased electrically evoked GABA receptor-mediated currents, increased paired-pulse ratio, and lowered frequency and amplitude of miniature inhibitory postsynaptic currents. Together, these results demonstrate that sodium salicylate enhances the neural excitation through suppressing GABAergic synaptic transmission in presynaptic and postsynaptic mechanisms in the hippocampal dentate gyrus area. Our findings may help understand the side effects caused by sodium salicylate in the central nervous system.

MicroRNA-Based Biomarkers in the Diagnosis and Monitoring of Therapeutic Response in Patients with Depression.

Depression is a debilitating mental illness that affects up to 120 million people worldwide; it is currently determined based on subjective diagnostic schemes that are limited by high uncertainty. Hence, there is an urgent need to identify effective and reliable biomarkers to increase diagnostic accuracy. MicroRNAs (miRNAs) constitute a recently discovered class of non-coding RNAs that play a key role in the regulation of gene expression by modulating translation, messenger RNA (mRNA) degradation, or stability of mRNA targets. Dysregulated expression of miRNAs is being investigated as a clinical biomarker for a variety of diseases, including depression. Accumulating evidence has shown that miRNAs participate in many aspects of neural plasticity, neurogenesis, and the stress response. This is supported by more direct studies based on human postmortem brain tissue that strongly indicate that miRNAs not only play a key role in the pathogenesis of major depressive disorder, but also present potential for the development of therapeutic targets. miRNAs in the peripheral and central nervous system are being considered as potential biomarkers in the diagnosis of depression and in monitoring the therapeutic response to antidepressants, owing to their stability, tissue-specificity, and disease-specific expression. In this review, we focus on various miRNAs in tissues and fluids that could be employed as diagnostic and therapeutic biomarkers in patients with depression.