The Identification of Potential Anti-Depression/Anxiety Drug Targets by Stress-Induced Rat Brain Regional Proteome and Network Analyses.

Depression and anxiety disorders are prevalent stress-related neuropsychiatric disorders and involve multiple molecular changes and dysfunctions across various brain regions. However, the specific and shared pathophysiological mechanisms occurring in these regions remain unclear. Previous research used a rat model of chronic mild stress (CMS) to segregate and identify depression-susceptible, anxiety-susceptible, and insusceptible groups; then the proteomes of six distinct brain regions (the hippocampus, prefrontal cortex, hypothalamus, pituitary, olfactory bulb, and striatum) were separately and quantitatively analyzed. To gain a comprehensive and systematic understanding of the molecular abnormalities, this study aimed to investigate and compare differential proteomics data from the six regions. Differentially expressed proteins (DEPs) were identified in between specific regions and across all regions and subjected to a series of bioinformatics analyses. Regional comparisons showed that stress-induced proteomic changes and corresponding gene ontology and pathway enrichments were largely distinct, attributable to differences in cell populations, protein compositions, and brain functions of these areas. Additionally, a notable degree of overlap in the significantly enriched terms was identified, potentially suggesting strong connections in the enrichment across different regions. Furthermore, intra-regional and inter-regional protein-protein interaction networks and drug-target-DEP networks were constructed. Integrated analysis of the three association networks in the six regions, along with the DisGeNET database, identified ten DEPs as potential targets for anti-depression/anxiety drugs. Collectively, these findings revealed commonalities and differences across different brain regions at the protein level induced by CMS, and identified several novel protein targets for the development of new therapeutics for depression and anxiety.

Interaction between diabetes and body mass index on severe headache or migraine in adults: a cross-sectional study.

BACKGROUND: Research on the effects of body mass index (BMI) on severe headache or migraine is limited and controversial. The aim of this study was to explore the association between BMI and the prevalence of migraine, with particular interest in diabetes status difference. METHODS: The present study used analyzed data from people who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2004. Logistic regression models and restricted cubic spline (RCS) models were applied to investigate the relationship between body mass index and migraine. RESULTS: A total of 10,074 adults aged 20 years or older were included in this study. Body mass index was positively related to migraine, and the corresponding odds ratio (OR; 95% CI) was 1.02 (1.01, 1.03; p < 0.001). And compared to participants in the lowest group of body mass index (< 25 kg/m2), the adjusted ORs for migraine in medium group (25-29.9 kg/m2), and highest group (≥ 30 kg/m2) were 1.14 (95% CI: 0.98-1.32, p = 0.09) and 1.30 (95% CI: 1.11-1.52, p = 0.0022), respectively. The relationship between BMI and migraine exhibited a linear in overall in the RCS. Our findings also suggested an interaction between BMI and diabetes. The relationship between BMI and migraine in adults with diabetes was non-linear. The OR of developing migraine was 1.30 (95% CI: 1.10-1.54) in individuals with BMI ≥ 29.71 kg/m2 in adults with diabetes. CONCLUSION: A higher body mass index is significantly associated with an increased prevalence of migraine, and diabetes status can modify the association between them.

Cell-based vs enzyme-linked immunosorbent assay for detection of anti-Tribbles homolog 2 autoantibodies in Chinese patients with narcolepsy.

STUDY OBJECTIVES: Narcolepsy type 1 is attributed to a deficiency in cerebrospinal fluid orexin and is considered linked to autoimmunity. The levels of anti-Tribbles homolog 2 (TRIB2) autoantibodies are elevated in the sera of some patients with narcolepsy with cataplexy. Additionally, injecting mice with serum immunoglobulin from patients with narcolepsy with positive anti-TRIB2 antibodies can induce hypothalamic neuron loss and alterations in sleep patterns. Consequently, we hypothesized the existence of a potential association between anti-TRIB2 antibodies and narcolepsy. To test this possibility, we used cell-based assays (CBAs) and enzyme-linked immunosorbent assays (ELISAs) to detect the presence of anti-TRIB2 antibodies in Chinese patients with narcolepsy. METHODS: We included 68 patients with narcolepsy type 1, 39 patients with other central disorders of hypersomnolence, and 43 healthy controls. A CBA and a conventional ELISA were used to detect anti-TRIB2 antibody levels in patients' sera. RESULTS: CBA was used to detect serum anti-TRIB2 antibodies in Chinese patients with narcolepsy, and the results were negative. However, when the ELISA was used, only 2 patients with narcolepsy type 1 had TRIB2 antibody titers higher than the mean titer plus 2 standard deviations of the healthy controls. CONCLUSIONS: In our study, ELISA identified TRIB2 autoantibodies in sera of patients with narcolepsy where CBA failed to demonstrate them. Contrary to our hypothesis, this intriguing finding deserves further research to elucidate the potential association between TRIB2 and narcolepsy type 1. Exploring the implications of TRIB2 autoantibodies in narcolepsy and disparate outcomes between ELISA and CBA could provide crucial insights. CITATION: Zhong X, Yuan Y, Zhan Q, et al. Cell-based vs enzyme-linked immunosorbent assay for detection of anti-Tribbles homolog 2 autoantibodies in Chinese patients with narcolepsy. J Clin Sleep Med. 2024;20(6):941-946.

Association between cytokines and symptoms of depression and anxiety in patients with type 1 narcolepsy.

BACKGROUND: Symptoms of depression and anxiety are common complications of narcolepsy. Earlier studies have shown that narcolepsy type 1 (NT1) is an autoimmune inflammatory disease and symptoms of depression and anxiety are closely related to fluctuations in inflammatory cytokines. The objective of the current research was to investigate the potential correlation between cytokines and symptoms of depression and anxiety in patients with NT1. METHODS: We collected demographic and clinical data and information on cytokine levels from 50 patients with NT1 and used Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) to assess the severity of depression and anxiety symptoms. Patients with SDS scores ≥ 53 points were defined as depressive narcolepsy type 1 (D-NT1) and those with SDS scores < 53 points as non-depressive narcolepsy type 1 (ND-NT1). Patients with SAS scores ≥ 50 points were defined as anxious narcolepsy type 1 (A-NT1) and those with SAS scores < 50 points as non-anxious narcolepsy type 1 (NA-NT1). A binary logistic regression model was employed to identify the influencing factors of depressive and anxiety symptoms. RESULTS: Levels of IL-10 (p = 0.02), IL-4 (p = 0.049) and disease duration (p = 0.049) were decreased, while SAS scores (p < 0.001) and total sleep duration (p = 0.03) were increased in D-NT1 relative to ND-NT1 patients. A-NT1 patients had higher SDS scores (p < 0.001) compared to NA-NT1 patients. Binary logistic regression analysis revealed associations of longer disease duration (OR=0.83; 95 % CI: 0.70-0.97) and increased IL-10 (OR=0.40; 95 % CI: 0.17-0.90) with reduced risk of depression and worsening anxiety (SAS score; OR=1.17; 95 % CI: 1.06-1.30) with increased risk of depression in patients with NT1. Consistently, worsening depression (SDS score; OR=1.22; 95 % CI: 1.07-1.39) was correlated with increased risk of anxiety in the NT1 group. CONCLUSION: Our finding that higher IL-10 levels correlate with a lower risk of depression in NT1 patients provides a reference for further exploration of the pathophysiological mechanisms of depressive symptoms in NT1 patients.