Acta Neuropsychiatrica最新文献

Long COVID refers to the lingering symptoms which persist or appear after the acute illness. The dominant long COVID symptoms in the two years since the pandemic began (2020-2021) have been depression, anxiety, fatigue, concentration and cognitive impairments with few reports of psychosis. Whether other symptoms will appear later on is not yet known. For example, dopamine-dependent movement disorders generally take many years before first symptoms are seen. Post-stroke depression and anxiety may explain many of the early long COVID cases. Hemorrhagic, hypoxic and inflammatory damages of the central nervous system, unresolved systematic inflammation, metabolic impairment, cerebral vascular accidents such as stroke, hypoxia from pulmonary damages and fibrotic changes are among the major causes of long COVID. Glucose metabolic and hypoxic brain issues likely predispose subjects with pre-existing diabetes, cardiovascular or lung problems to long COVID as well. Preliminary data suggest that psychotropic medications may not be a danger but could instead be beneficial in combating COVID-19 infection. The same is true for diabetes medications such as metformin. Thus, a focus on sigma-1 receptor ligands and glucose metabolism is expected to be useful for new drug development as well as the repurposing of current drugs. The reported protective effects of psychotropics and antihistamines against COVID-19, the earlier reports of reduced number of sigma-1 receptors in post-mortem schizophrenic brains, with many antidepressant and antipsychotic drugs being antihistamines with significant affinity for the sigma-1 receptor, support the role of sigma and histamine receptors in neuroinflammation and viral infections. Literature and data in all these areas are accumulating at a fast rate. We reviewed and discussed the relevant and important literature.

The COVID-19 pandemic is believed to have a major negative impact on global mental health due to the viral disease itself as well as the associated lockdowns, social distancing, isolation, fear, and increased uncertainty. Individuals with preexisting mental illness are likely to be particularly vulnerable to these conditions and may develop outright 'COVID-19-related psychopathology'. Here, we trained a machine learning model on structured and natural text data from electronic health records to identify COVID-19 pandemic-related psychopathology among patients receiving care in the Psychiatric Services of the Central Denmark Region. Subsequently, applying this model, we found that pandemic-related psychopathology covaries with the pandemic pressure over time. These findings may aid psychiatric services in their planning during the ongoing and future pandemics. Furthermore, the results are a testament to the potential of applying machine learning to data from electronic health records.

Background: The treatment of mania in bipolar disorders needs to be more efficient, as the manic condition creates severe problems for the patient when it comes to work, finances, relationships and health. This proof-of-concept study examines to what extent casein glycomacropeptide (CGMP) may reduce the precursors of dopamine, phenylalanine and tyrosine, in plasma, and therefore be a potential new intervention to treat acute manic episodes.

Method: The study was designed as a double-blind randomised dose-response study of CGMP (with added leucine and tryptophan) in 15 healthy men, receiving 3 different doses of CGMP with an interval of at least 14 days.

Results: Administration of CGMP produced a dose-dependent depletion of plasma aromatic amino acids. The total area under the curve of plasma ratios of phenylalanine-tyrosine compared to the level of leucine-isoleucine-valine--tryptophan was CGMP (20 g): 3.648 [SE:0.3281]; CGMP (40 g): 2.368 [SE:0.1858]; and CGMP (60 g)1.887 [SE:0.2591]. A comparison of the groups showed a dose-dependent statistical difference, with a one-way ANOVA summary (Dunnett) F = 11.87, p = 0.0003, CGMP 20 g versus CGMP 40 g, p = 0.0042, CGMP 20 g versus CGMP 60 g, p = 0.0002. No significant side effects were observed.

Conclusions: This study demonstrate CGMP is a well-tolerated and effective mixture, and that 60 g of CGMP produced the highest depletion of plasma aromatic amino acids (phenylalanine and tyrosine). The effect seems to be highest after 3-4 h. We therefore conclude that this dose should be the one considered for future studies involving CGMP in humans.

Many patients under treatment for mood disorders, in particular patients with bipolar mood disorders, experience episodes of mood switching from one state to another. Various hypotheses have been proposed to explain the mechanism of mood switching, spontaneously or induced by drug treatment. Animal models have also been used to test the role of psychotropic drugs in the switching of mood states. We examine the possible relationship between the pharmacology of psychotropic drugs and their reported incidents of induced mood switching, with reference to the various hypotheses of mechanisms of mood switching.

Since the NAD+-dependent histone deacetylases sirtuin-1 (SIRT1) and sirtuin-2 (SIRT2) are critically involved in epigenetics, endocrinology and immunology and affect the longevity in model organisms, we investigated their expression in brains of 3-month-old and 14-15 months old rat model of depression Flinders Sensitive Line (FSL) and control Flinders Resistant Line (FRL) rats. In view of the dysregulated NPY system in depression, we also studied NPY in young and old FSL to explore the temporal trajectory of depressive-like-ageing interaction. Sirt1, Sirt2 and Npy mRNA were determined using qRT-PCR in prefrontal cortex (PFC) from young and old FSL and FRL, and in hippocampi from young FSL and FRL. PFC: Sirt1 expression was decreased in FSL (p = 0.001). An interaction between age and genotype was found (p = 0.032); young FSL had lower Sirt1 with respect to both age (p = 0.026) and genotype (p = 0.001). Sirt2 was lower in FSL (p = 0.003). Npy mRNA was downregulated in FSL (p = 0.001) but did not differ between the young and old rat groups. Hippocampus: Sirt1 was reduced in young FSL compared to young FRL (p = 0.005). There was no difference in Sirt2 between FSL and FRL. Npy levels were decreased in hippocampus of young FSL compared to young FRL (p = 0.003). Effects of ageing could not be investigated due to loss of samples. To conclude, i this is the first demonstration that SIRT1 and SIRT2 are changed in brain of FSL, a rat model of depression; ii the changes are age-dependent; iii sirtuins are potential targets for treatment of age-related neurodegenerative diseases.

Aim: The aim of this study was to investigate the possible impact of the Covid-19 pandemic on general health, mental well-being, and experiences of control compared to pre-pandemic populations. Our hypotheses were that we would observe a significantly lower level of psychological well-being and general health in the 2020 sample compared to the pre-pandemic samples, and that we would observe younger age groups to be the most affected.

Method: Two representative Danish populations (2016, n = 1656) and (2017, n = 3366) were compared to a representative Danish population (2020, n = 1538) sampled during the first lockdown in May 2020. Two-tailed tests of proportions were used to investigate possible differences between samples in proportions reporting poorer mental well-being measured by 5-item World Health Organization Well-Being Index, general health, and internal locus of control.

Results: Younger men (aged 18-24) and younger women (aged 18-44) as well as elderly women (aged 65-74) reported lower mental well-being during the early phase of the pandemic compared to the population from 2016. Both women and men in 2020 reported significantly lower levels of internal locus of control compared to the 2017 sample. This was especially true for younger men and women. There were no statistically significant differences in general health between populations.

Discussion: This study partly supports the hypothesis that the Covid-19 pandemic affected mental well-being negatively among younger persons. However, longitudinal studies are needed to investigate possible long-term effects of the pandemic on mental health and well-being. Further, qualitative studies are needed to investigate the in-depth consequences of Covid-19.