Chronic stress induces depression and insulin resistance, between which there is a bidirectional relationship. However, the mechanisms underlying this comorbidity remain unclear. White adipose tissue (WAT), innervated by sympathetic nerves, serves as a central node in the interorgan crosstalk through adipokines. Abnormal secretion of adipokines is involved in mood disorders and metabolic morbidities. We describe here a brain-sympathetic nerve-adipose circuit originating in the hypothalamic paraventricular nucleus (PVN) with a role in depression and insulin resistance induced by chronic stress. PVN neurons are labelled after inoculation of pseudorabies virus (PRV) into WAT and are activated under restraint stress. Chemogenetic manipulations suggest a role for the PVN in depression and insulin resistance. Chronic stress increases the sympathetic innervation of WAT and downregulates several antidepressant and insulin-sensitizing adipokines, including leptin, adiponectin, Angptl4 and Sfrp5. Chronic activation of the PVN has similar effects. β-adrenergic receptors translate sympathetic tone into an adipose response, inducing downregulation of those adipokines and depressive-like behaviours and insulin resistance. We finally show that AP-1 has a role in the regulation of adipokine expression under chronic stress.

Determination of antipsychotics from biological samples is meaningful in the field of clinical and forensic medicine. Compared to blood, keratinized matrices such as hair and nails have attracted increasing attention in drug analysis for wider detection window. Nevertheless, the distribution and stability of antipsychotics in keratinized matrices are not clarified yet. Therefore, we developed a LC-MS/MS based method for simultaneous determination of 10 antipsychotics from blood, hair and nails, with high recovery (78.1–107.4%, 71.3–93.5% and 75.2–90.5%), low LOD (5–10 pg/mL, 5–10 pg/mg and 5 pg/mg) and high accuracy (96.0%−101.6%, 97.5%−102.5% and 97.6–101.7%). The method was applied to sets of blood, hair, and nail samples of 54 patients who received long-term therapy, and significant correlations between drug concentrations in blood and hair was found, while the correlation between nails and other matrices varied depending on the drug. Except for olanzapine, the concentrations of antipsychotics in segmental hair samples were consistent with drug exposure. Besides, the hair and nail samples of suspects in two forensic cases were analyzed and provided supporting evidence for the suspects’ psychiatric state. Our research offered a deeper understanding of keratinized matrix as stable and retrospective bio-samples for antipsychotics detection in forensic practice.

Early life stress such as maternal separation (MS), is a major risk factor for developing psychiatric disorders in adulthood. Connexin 43 (CX43), the main type of connexins expressed in astrocytes, has been indicated to participate in depression disorders. Nevertheless, the role of CX43 in MS-induced cognitive impairment and astrocyte dysfunction is unclear. Neonatal C57BL/6 mice were exposed to MS to mimic early life stress. Adeno-associated virus carrying CX43 was inoculated into mice for CX43 overexpression. Sucrose preference test, forced swim test and Morris water maze were performed for evaluating depression-like behaviors and spatial learning and memory of mice in adulthood. Real time quantitative polymerase chain reaction was conducted to detect CX43 mRNA expression in mouse brain. Immunofluorescence staining and western blotting were used for measuring expression levels of astrocytic markers in murine hippocampal dentate gyrus. The results showed that overexpressing CX43 attenuated MS exposure-induced depression-like behaviors and decrease in spatial learning and memory in mice. Upregulating CX43 alleviated MS exposure-induced downregulation of astrocytic markers. Collectively, CX43 overexpression attenuates cognitive deficits and astrocyte dysfunction in mice exposed to MS.

To analyze the relationship between olanzapine blood concentration and clinical efficacy in schizophrenia patients, which has been expected to provide a scientific reference basis for improving the treatment effect of olanzapine in schizophrenia patients. Four hundred eighty-six psychiatric inpatients were randomly selected from October 31, 2019, to October 31, 2020, and all enrolled patients were given olanzapine treatment, and the treatment effect of schizophrenia patients was assessed according to the Positive and Negative Symptom Scale subtraction rate, and divided into treatment effective and ineffective groups at 1, 2, and 3 weeks of treatment, respectively. The olanzapine blood concentration in the body was monitored at 1, 2, and 3 weeks of treatment, and the relationship between olanzapine blood concentration and treatment effect at different time points was analyzed. Patients in the ineffective group had lower olanzapine blood concentrations than the effective group in treatment 1, 2, and 3 weeks and lower Positive and Negative Symptom Scale score reduction rates than the effective group (P < .05); the differences in other baseline information between the groups were not statistically significant (P > .05). Logistic regression analysis showed that olanzapine blood concentration at different times of treatment was related to the treatment effect (odds ratio > 1, P < .05); the results of the bivariate Spearman linear correlation test showed that olanzapine blood concentration at different times of treatment was positively related to the treatment effect of schizophrenia patients (R > 0, P < .05). In schizophrenia patients treated with olanzapine, the higher the olanzapine blood concentration in patients, the better the clinical treatment effect. Accordingly, the clinical can develop individualized medication regimens based on the results of blood concentration testing in the body under the premise of ensuring safety, aiming to ensure maximum efficacy.

Background Depression was a common life-threatening psychiatric disorder and occurs more frequently in women than in men. Long noncoding RNAs (lncRNAs), such as LINC00473, had been reported to be involved in the progression of depression. Methods Chronic unpredictable moderate stress in mice (CUMS) was applied to construct a depression model. Subsequently, RT-qPCR was applied to check the level of LINC00473 and microRNA-497-5p (miR-497-5p) in the hippocampal region of the mice induced by CUMS. CUMS mice were injected with lentiviral vectors of LINC00473 (LV-LINC00473), miR-497-5p inhibitor, short hairpin- (sh-) brain-derived neurotrophic factor (sh-BDNF), or miR-497-5p mimic to evaluate depressive behaviors, including sucrose preference test, forced swim test, elevated plus maze, and tail suspension test. Moreover, the production of hypothalamic neurotransmitters was assessed with the usage of ELISA kits. Dual-luciferase reporter assay, RNA pull-down, and RIP analysis were performed to measure the relationship between miR-497-5p and LINC00473 or BDNF. Further, western blot was employed to determine the protein level of BDNF. Results We discovered that LINC00473 level was downregulated in the female mice with depression, but not in male mice. Besides, the depressive behaviors induced by CUMS in mice, including the decrease of sucrose preference and time in open arm, as well as the increase of immobility time and swimming resting time were all ameliorated by LINC00473 overexpression. Moreover, the concentration of neurotransmitters was decreased in CUMS-induced mouse hypothalamus, which was blocked by LV-LINC00473 lentiviral vector administration. Mechanistically, LINC00473 directly targeted miR-497-5p. Absence of miR-497-5p revealed the antidepression effects on CUMS-induced mice, and miR-497-5p upregulation could counter the antidepressive impacts of LINC00473 upregulation on CUMS-induced mice. Furthermore, LINC00473 could target miR-497-5p to modulate BDNF level. Knockdown of BDNF could abrogate the improving influences of miR-497-5p suppression on CUMS-induced depression. Conclusions LINC00473 ameliorated CUMS-caused depression by encouraging BDNF expression via binding to miR-497-5p, which might provide a potential therapeutic target for depression in females.

The study was aimed to explore the brain imaging characteristics of major depressive disorder (MDD) patients with suicide ideation (SI) through resting-state functional magnetic resonance imaging (rs-fMRI) and to investigate the potential neurobiological role in the occurrence of SI. 50 MDD patients were selected as the experimental group and 50 healthy people as the control group. The brain images of the patients were obtained by MRI. Extraction of EEG biological features was from rs-fMRI images. Since MRI images were disturbed by noise, the initial clustering center of FCM was determined by particle swarm optimization algorithm so that the noise of the collected images was cleared by adaptive median filtering. Then, the image images were processed by the optimized model. The correlation between brain mALFF and clinical characteristics was analyzed. It was found that the segmentation model based on the FCM algorithm could effectively eliminate the noise points in the image; that the zALFF values of the right superior temporal gyrus (R-STG), left middle occipital gyrus (L-MOG), and left middle temporal gyrus (L-MTG) in the observation group were significantly higher than those in the control group (P < 0.05); and that the average zALFF values of left thalamus (L-THA) and left middle frontal gyrus (L-MFG) decreased. The mean zALFF values of L-MFG and L-SFG demonstrated good identification value for SI in MDD patients. In summary, MRI images based on FCM had a good convergence rate, and electrical biological characteristics of brain regions were abnormal in MDD patients with SI, which can be applied to the diagnosis and treatment of patients with depression in clinical practice.

It is known that the development of resistance of breast cancer cells to chemotherapy is at least partially mediated by the upregulation of long non-coding RNA DSCAM antisense RNA 1 (DSCAM-AS1). Therefore, DSCAM-AS1 may play a role in cancer biology. The differential expression of DSCAM-AS1 and miR-124 in hepatocellular carcinoma (HCC) was analyzed by quantitative polymerase chain reaction. One-way analysis of variance (ANOVA) Tukey test was used to analyze the differences in gene expression and cell proliferation in HCC cell lines. Expression levels of DSCAM-AS1 and miR-124 were compared between HCC and paired non-tumor tissues by paired t-test. The effects of transfections on SNU-449 and SNU-398 cell proliferation were analyzed by CCK-8 assay. DSCAM-AS1 was upregulated, while miR-124 was downregulated in HCC tissues. DSCAM-AS1 and miR-124 were inversely correlated across HCC tissues but not normal tissues. DSCAM-AS1 level increased, while miR-124 level decreased along with the clinical stage increasing. miR-124 overexpression increased DSCAM-AS1 level while DSCAM-AS1 overexpression decreased miR-124 level. In addition, miR-124 overexpression decreased HCC cell proliferation, while DSCAM-AS1 increased HCC cell proliferation. Moreover, DSCAM-AS1 overexpression reduced the effects of miR-124 overexpression. DSCAM-AS1 interacts with miR-124 to promote HCC proliferation.

ObjectiveChildren of parents with mental illness (COPMI) are vulnerable during the COVID-19 pandemic. The study aimed to assess the psychosocial impacts of the pandemic and identify potential factors influencing their mental health.Method665 COPMI from six sites including Wuhan in China were enrolled. COPMI's mental health and the impacts of COVID-19 were assessed by an online survey. Univariate and multivariate analyses were performed to examine the association between impact factors and participants’ mental health.Results16.1 % of participants were in abnormal range of mental health, with interpersonal relationship being the most common problem. 48.6 % of participants reported quite worried about the epidemic. All aspects of adverse effects of COVID-19 were more prevalent among COPMI in Wuhan than in other sites. Concerns about COVID-19 (OR = 1.7, p = 0.02), decreased family income (OR = 2.0, p = 0.02), being physically abused (OR = 2.1, p = 0.04), witnessing family members being physically abused (OR = 2.0, p = 0.03), and needs for promoting family members' mental health (OR = 2.2, p < 0.01) were independent risk factors for participants' mental health.ConclusionThe findings raise our awareness of the impacts of COVID-19 pandemic on the wellbeing of COPMI. Multifaceted psychosocial support for COPMI is urgently needed to support them live through the pandemic.

Alzheimer's disease (AD) is a common neurodegenerative disease associated with deposition of β-amyloid peptide (Aβ). Platycodin D (PLD), a triterpenesaponin, may possess neuro-protective effect. In the current study, we aimed to explore the effects of PLD on Aβ-induced inflammation and oxidative stress in microglial BV-2 cells. Our study showed that PLD treatment improved cell viability in Aβ-induced BV-2 cells. PLD attenuated Aβ-induced inflammation with deceased production of TNF-α, IL-1β and IL-6 in Aβ-induced BV-2 cells. PLD also mitigated the oxidative stress in Aβ-induced BV-2 cells, as evidenced by deceased production of ROS and MDA, and increased SOD activity. Furthermore, the increased expression levels of TLR4 and p-p65 and decreased IκBα expression in the Aβ-stimulated BV-2 cells were attenuated by PLD treatment. Overexpression of TLR4 reversed the anti-inflammatory effect of PLD in Aβ-stimulated BV-2 cells. In addition, PLD treatment enhanced the Aβ-stimulated increase in the expression levels of Nrf2, HO-1, and NQO1 in BV-2 cells. Knockdown of Nrf2 abrogated the anti-oxidative effect of PLD in Aβ-stimulated BV-2 cells. In conclusion, these findings indicated that PLD protected BV-2 cells from Aβ-induced oxidative stress and inflammation via regulating the TLR4/NF-κB and Nrf2/HO-1 signaling pathways. Thus, PLD may be a potential candidate for the treatment of AD.