A peptide from the Japanese encephalitis virus failed to induce the production of anti-N-methyl-d-aspartate receptor antibodies via molecular mimicry in mice.

Background: The development of anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis following viral encephalitis, such as Japanese encephalitis, has received increasing attention in recent years. However, the mechanism of anti-NMDAR antibody production following Japanese encephalitis has not been explored. Methods: A peptide from the Japanese encephalitis virus (JEV), which shares a similar amino acid sequence with GluN1, was identified by sequence comparison. We then explored whether active subcutaneous immunization with the JEV peptide could induce the production of anti-NMDAR antibodies and related pathophysiological and behavioral changes in mice. In addition, a published active immune model of anti-NMDAR encephalitis using a GluN1 peptide was used as the positive control. Results: A 6-amino-acid sequence with 83 % similarity between the envelope protein of the JEV (HGTVVI) and GluN1 (NGTHVI) was identified, and the sequence included the N368/G369 region. Active immunization with the JEV peptide induced a substantial and specific immune response in mice. However, anti-NMDAR antibodies were not detected in the serum of mice immunized with the JEV peptide by ELISA, CBA, and TBA. Moreover, mice immunized with the JEV peptide presented no abnormities related to anti-NMDAR antibodies according to western blotting, patch clamp, and a series of behavioral tests. In addition, active immunization with a recently reported GluN1 peptide failed to induce anti-NMDAR antibody production in mice. Conclusions: In this study, the attempt of active immunization with the JEV peptide to induce the production of anti-NMDAR antibodies via molecular mimicry failed. The pathogenesis of anti-NMDAR encephalitis following Japanese encephalitis remains to be elucidated.

Autophagy alleviates hippocampal neuroinflammation by inhibiting the NLRP3 inflammasome in a juvenile rat model exposed particulate matter.

Ambient fine particulate matter (PM) is a global public and environmental problem. PM is closely associated with several neurological diseases, which typically involve neuroinflammation. We investigated the impact of PM exposure on neuroinflammation using both in vivo (in a juvenile rat model with PM exposure concentrations of 1, 2, and 10 mg/kg for 28 days) and in vitro (in BV-2 and HT-22 cell models with PM concentrations of 50-200 µg/ml for 24 h). We observed that PM exposure induced the activation of the NLRP3 inflammasome, leading to the production of IL-1ß and IL-18 in the rat hippocampus and BV-2 cells. Furthermore, inhibition of the NLRP3 inflammasome with MCC950 effectively reduced neuroinflammation and ameliorated hippocampal damage. In addition, autophagy activation was observed in the hippocampus of PM-exposed rats, and the promotion of autophagy by rapamycin (Rapa) effectively attenuated the NLRP3-mediated neuroinflammation induced by PM exposure. However, autophagic flow was blocked in BV-2 cells exposed to PM, and Rapa failed to ameliorate NLRP3 inflammasome activation. We found that autophagy was activated in HT-22 cells exposed to PM and that treatment with Rapa reduced the release of reactive oxygen species (ROS) and malondialdehyde (MDA), as well as cell apoptosis. In a subsequent coculture model of BV-2 and HT-22 cells, we observed the activation of the NLRP3 inflammasome in BV-2 cells when the HT-22 cells were exposed to PM, and this activation was alleviated when PM-exposed HT-22 cells were pretreated with Rapa. Overall, our study revealed that PM exposure triggered hippocampal neuroinflammation by activating the NLRP3 inflammasome. Notably, autophagy mitigated NLRP3 inflammasome activation, potentially by reducing neuronal ROS and apoptosis. This research emphasized the importance of reducing PM exposure and provided valuable insight into its neurotoxicity.

Ambient particulate matter exposure induces ferroptosis in hippocampal cells through the GSK3B/Nrf2/GPX4 pathway.

Epidemiological studies have established a robust correlation between exposure to ambient particulate matter (PM) and various neurological disorders, with dysregulation of intracellular redox processes and cell death being key mechanisms involved. Ferroptosis, a cell death form characterized by iron-dependent lipid peroxidation and disruption of antioxidant defenses, may be involved in the neurotoxic effects of PM exposure. However, the relationship between PM-induced neurotoxicity and ferroptosis in nerve cells remains to be elucidated. In this study, we utilized a rat model (exposed to PM at a dose of 10 mg/kg body weight per day for 4 weeks) and an HT-22 cell model (exposed to PM at concentrations of 50, 100, and 200 µg/mL for 24 h) to investigate the potential induction of ferroptosis by PM exposure. Furthermore, RNA sequencing analysis was employed to identify hub genes that potentially contribute to the process of ferroptosis, which was subsequently validated through in vivo and in vitro experiments. The results revealed that PM exposure increased MDA content and Fe2+ levels, and decreased SOD activity and GSH/GSSG ratio in rat hippocampal and HT-22 cells. Through RNA sequencing analysis, bioinformatics analysis, and RT-qPCR experiments, we identified GSK3B as a possible hub gene involved in ferroptosis. Subsequent investigations demonstrated that PM exposure increased GSK3B levels and decreased Nrf2, and GPX4 levels in vivo and in vitro. Furthermore, treatment with LY2090314, a specific inhibitor of GSK3B, was found to mitigate the PM-induced elevation of MDA and ROS and restore SOD activity and GSH/GSSG ratio. The LY2090314 treatment promoted the upregulation of Nrf2 and GPX4 and facilitated the nuclear translocation of Nrf2 in HT-22 cells. Moreover, treatment with LY2090314 resulted in the upregulation of Nrf2 and GPX4, along with the facilitation of nuclear translocation of Nrf2. This study suggested that PM-induced ferroptosis in hippocampal cells may be via the GSK3B/Nrf2/GPX4 pathway.

Effects of minocycline on dendrites, dendritic spines, and microglia in immature mouse brains after kainic acid-induced status epilepticus.

PURPOSE: This study aimed to investigate whether minocycline could influence alterations of microglial subtypes, the morphology of dendrites and dendritic spines, the microstructures of synapses and synaptic proteins, or even cognition outcomes in immature male mice following status epilepticus (SE) induced by kainic acid. METHODS: Golgi staining was performed to visualize the dendrites and dendritic spines of neurons of the hippocampus. The microstructures of synapses and synaptic proteins were observed using transmission electron microscopy and western blotting analysis, respectively. Microglial reactivation and their markers were evaluated using flow cytometry. The Morris water maze (MWM) test was used to analyze spatial learning and memory ability. RESULTS: Significant partial spines increase (predominate in thin spines) was observed in the dendrites of neurons after acute SE and partial loss (mainly in thin spines) was presented by days 14 and 28 post-SE. The postsynaptic ultrastructure was impaired on the 7th and 14th days after SE. The proportion of M1 microglia increased significantly only after acute SE Similarly, the proportion of M2 microglia increased in the acute stage with high expression levels of all surface markers. In contrast, a decrease in M2 microglia and their markers was noted by day 14 post-SE. Minocycline could reverse the changes in dendrites and synaptic proteins caused by SE, and increase the levels of synaptic proteins. Meanwhile, minocycline could inhibit the reactivation of M1 microglia and the expression of their markers, except for promoting CD200R. In addition, treatment with minocycline could regulate the expression of M2 microglia and their surface markers, as well as ameliorating the impaired spatial learning and memory on the 28th day after SE. CONCLUSIONS: Dendritic spines and microglia are dynamically changed after SE. Minocycline could ameliorate the impaired cognition in the kainic acid-induced mouse model by decreasing the damage to dendrites and altering microglial reactivation.

Photosynthetic and biochemical responses of four subtropical tree seedlings to reduced dry season and increased wet season precipitation and variable N deposition.

Interspecific variations in phenotypic plasticity of trees that are affected by climate change may alter the ecosystem function of forests. Seedlings of four common tree species (Castanopsis fissa, Michelia macclurei, Dalbergia odorifera and Ormosia pinnata) in subtropical plantations of southern China were grown in the field under rainout shelters and subjected to changing precipitation (48 L of water every 4 days in the dry season, 83 L of water every 1 day in the wet season; 4 g m-2 year-1 of nitrogen (N)), low N deposition (48 L of water every 2 days in the dry season, 71 L of water every 1 day in the wet season; 8 g m-2 year-1 N), high N deposition (48 L of water every 2 days in the dry season, 71 L of water every 1 day in the wet season; 10 g m-2 year-1 N) and their interactive effects. We found that the changes in seasonal precipitation reduced the light-saturated photosynthetic rate (Asat) for C. fissa due to declining area-based foliar N concentrations (Na). However, we also found that the interactive effects of changing precipitation and N deposition enhanced Asat for C. fissa by increasing foliar Na concentrations, suggesting that N deposition could alleviate N limitations associated with changing precipitation. Altered precipitation and high N deposition reduced Asat for D. odorifera by decreasing the maximum electron transport rate for RuBP regeneration (Jmax) and maximum rate of carboxylation of Rubisco (Vcmax). Ormosia pinnata under high N deposition exhibited increasing Asat due to higher stomatal conductance and Vcmax. The growth of D. odorifera might be inhibited by changes in seasonal precipitation and N deposition, while O. pinnata may benefit from increasing N deposition in future climates. Our study provides an important insight into the selection of tree species with high capacity to tolerate changing precipitation and N deposition in subtropical plantations.

Autoimmune encephalitis antibody profiles and clinical characteristics of children with suspected autoimmune encephalitis.

AIM: To identify the spectrum of autoimmune encephalitis antibody biomarkers (AE-Abs) in children with suspected autoimmune encephalitis and explore the clinical features indicating AE-Abs presence. METHOD: We included children with suspected autoimmune encephalitis who underwent AE-Abs tests at the Children's Hospital of Chongqing Medical University between June 2020 and June 2022. Clinical features suggestive of AE-Abs were analysed based on AE-Abs test results. RESULTS: A total of 392 children were tested for AE-Abs with suspected autoimmune encephalitis. Of these, 49.5% were male, with a median age of 7 years 11 months (6 months-17 years 11 months); 93.6% (367/392) of all patients had both serum and cerebrospinal fluid (CSF) tests performed. The antibody-positive rate in the cohort was 23.7% (93/392), the serum antibody-positive rate was 21.9% (84/384), and the CSF antibody-positive rate was 20.8% (78/375). Eleven different AE-Abs were detected. Serum analysis revealed that N-methyl-D-aspartate receptor immunoglobulin-G (NMDAR-IgG) (15.1%) was greater than myelin oligodendrocyte glycoprotein (MOG)-IgG (14.6%) and glial fibrillary acidic protein (GFAP)-IgG (3.3%). CSF analysis revealed that NMDAR-IgG (16.3%) was greater than MOG-IgG (13.8%) and GFAP-IgG (3.3%). Compared with antibody-negative patients, antibody-positive patients were more often female (odds ratio [OR] 1.86, p = 0.03), with memory impairment (OR 2.91, p = 0.01) and sleep disorders (OR 2.08, p = 0.02). INTERPRETATION: In children, the most frequent AE-Abs detected were NMDAR-IgG and MOG-IgG. Female sex, memory impairment, and sleep disorders predict a higher likelihood of AE-Abs.

Pediatric anti-NMDAR encephalitis with demyelination on brain MRI: A single center study.

OBJECTIVE: To explore the clinical characteristics, immunotherapy response, and prognosis of pediatric anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis associated with demyelination on brain magnetic resonance (MRI). METHODS: We retrospectively reviewed the medical records of children diagnosed with anti-NMDAR encephalitis in our hospital between January 2016 and December 2021. All children with evidence of demyelination on brain MRI were included. RESULTS: A total of 183 anti-NMDAR encephalitis children were included; 8.7 % (16/183) of them had demyelination on brain MRI. Nine were positive for myelin oligodendrocyte glycoprotein (MOG)-IgG, while two were positive for both MOG-IgG and glial fibrillary acidic protein (GFAP)-IgG. Four patients had a history of acquired demyelinating syndromes and encephalitis, respectively, while nine (56.3 %) had atypical symptoms of anti-NMDAR encephalitis. All children had supratentorial demyelination on brain MRI; four of them had additional infratentorial lesions. All children received first-line immunotherapy; four were administered repeated first-line immunotherapy and/or rituximab because of poor initial response. During the follow-up, 37.5 % (6/16) of the children relapsed, but all responded well to immunotherapy. There were no significant differences in mRS score before immunotherapy, response to first-line immunotherapy, and long-term prognosis between anti-NMDAR encephalitis children with and without demyelination. However, patients with demyelination were more likely to have a history of acquired demyelinating syndromes or unexplained cortical encephalitis and to relapse. CONCLUSION: Pediatric anti-NMDAR encephalitis can co-occur with demyelination and has a high rate of MOG-IgG positivity. A history of acquired demyelinating syndromes or unexplained cortical encephalitis and atypical symptoms may indicate demyelination in children with anti-NMDAR encephalitis. Pediatric anti-NMDAR encephalitis with demyelination is more likely to relapse and needs a closer follow-up. However, it remains unknown whether more intensive immunotherapy is required in these patients.

Perampanel effectiveness in treating ROGDI-related Kohlschütter-Tönz syndrome: first reported case in China and literature review.

PURPOSE: This study reported the first case of Kohlschütter-Tönz syndrome (KTS) in China and reviewed the literature of the reported cases. METHODS: This patient was registered at the Children's Hospital of Chongqing Medical University. The patient's symptoms and treatments were recorded in detail, and the patient was monitored for six years. We employed a combination of the following search terms and Boolean operators in our search strategy: Kohlschütter-Tönz syndrome, KTS, and ROGDI. These terms were carefully selected to capture a broad range of relevant publications in PubMed, Web of Science, WHO Global Health Library, and China National Knowledge Infrastructure, including synonyms, variations, and specific terms related to KTS. The pathogenicity of the variants was predicted using SpliceAI and MutationTaster, and the structures of the ROGDI mutations were constructed using I-TASSER. RESULTS: This is the first case report of KTS in China. Our patient presented with epilepsy, global developmental delay, and amelogenesis imperfecta. A trio-WES revealed homozygous mutations in ROGDI (c.46-37_46-30del). The brain magnetic resonance imaging (MRI) and video electroencephalogram (VEEG) were normal. The efficacy of perampanel (PMP) in treating seizures and intellectual disability was apparent. Furthermore, 43 cases of ROGDI-related KTS were retrieved. 100% exhibited epilepsy, global developmental delay, and amelogenesis imperfecta. 17.2% received a diagnosis of attention deficit hyperactivity disorder (ADHD), and 3.4% were under suspicion of autism spectrum disorder (ASD). Language disorders were observed in all patients. Emotional disorders, notably self-harm behaviors (9.1%), were also reported. CONCLUSION: ROGDI-related KTS is a rare neurodegenerative disorder, characterized by three classic clinical manifestations: epilepsy, global developmental delay, and amelogenesis imperfecta. Moreover, patients could present comorbidities, including ADHD, ASD, emotional disorders, and language disorders. PMP may be a potential drug with relatively good efficacy, but long-term clinical trials are still needed.

Computational study of the photophysical properties and electronic structure of iridium(III) photosensitizer complexes with electron-withdrawing groups.

A series of novel [Ir(tpy)(btp)Cl]+ complexes (Ir1-Ir4) have been reported to show excellent performance as photosensitizers. The introduction of electron-withdrawing groups increases visible light absorption and the lifetime of triplet states. To improve the photophysical properties, we theoretically design Ir5-Ir9 with electron-withdrawing groups (Cl, F, COOH, CN and NO2). Surprisingly, our findings indicate that the photosensitizer performance does not strictly increase with the electron-withdrawing ability of the substituents. In this work, the geometric and electronic structures, transition features, and photophysical properties of Ir1-Ir9 are investigated. The natural transition orbital (NTO) analysis indicates that the T1 and T2 states play a role in the photochemical pathways. Ultraviolet-visible (UV-vis) absorption spectra and charge-transfer spectra (CTS) have been investigated to show that the introduction of electron-withdrawing groups not only improves the visible light absorbing ability, but also changes the nature of electron excitation, providing a future molecular design strategy for similar series of photosensitizers. The rates of (reverse) intersystem crossing and the Huang-Rhys factors are evaluated to interpret the experimental results within the framework of Marcus theory. For complexes Ir1-Ir7, the introduction of electron-withdrawing groups leads to a lower efficiency of reverse intersystem crossing and a strong non-radiative process T2 → T1, resulting in a long triplet lifetime and excellent performance as a photosensitizer. Furthermore, some newly designed complexes (Ir7-Ir9) show great potential as thermally activated delayed fluorescence emitters, contrary to our initial expectations.

TREM2 mitigates NLRP3-mediated neuroinflammation through the NF-κB and PI3k/Akt signaling pathways in juvenile rats exposed to ambient particulate matter.

Ambient particulate matter (PM) is a global public and environmental problem. PM is closely associated with several neurological disorders that typically involve neuroinflammation. There have been few studies on the effect of PM on neuroinflammation to date. In this study, we used a juvenile rat model (PM exposure was conducted at a dose of 10 mg/kg body weight per day for 4 weeks) and a BV-2 cell model (PM exposure was conducted at concentrations of 50, 100, 150, and 200 µg/ml for 24 h) to investigate PM-induced neuroinflammation mediated by NLRP3 inflammasome activation and the role of TREM2 in this process. Our findings revealed that PM exposure reduced TREM2 protein and mRNA levels in the rat hippocampus and BV-2 cells. TREM2 overexpression attenuated PM-induced spatial learning and memory deficits in rats. Moreover, we observed that TREM2 overexpression in vivo and in vitro effectively mitigated the increase in NLRP3 and pro-Caspase1 protein expression, as well as the secretion of IL-1ß and IL-18. Exposure to PM increased the expression of NF-κB and decreased the phosphorylation of PI3k/Akt in vivo and in vitro, and this process was effectively reversed by overexpressing TREM2. Our results indicated that PM exposure could reduce TREM2 expression and induce NLRP3 inflammasome-mediated neuroinflammation and that TREM2 could mitigate NLRP3 inflammasome-mediated neuroinflammation by regulating the NF-κB and PI3k/Akt signaling pathways. These findings shed light on PM-induced neuroinflammation mechanisms and potential intervention targets.

Wide Remote-Range and Accurate Wireless LC Temperature-Humidity Sensor Enabled by Efficient Mutual Interference Mitigation.

Inductor-capacitor wireless integrated sensors (LCWISs) featuring untethered and multitarget measurements are promising in health monitoring and human-machine interfaces. However, the lack of a profound understanding of the internal interference hinders the design of the LCWIS, which has a wide remote sensing range and high accuracy. Herein, a mutually exclusive effect of the mutual inductance interferences in LCWIS was revealed and quantified, enabling a design with a wide range of remote sensing (working distance comparable to the single-target device, working radius: 4 mm) and 16% reduced area. As a key to accurate multitarget measurement, a quantified target interference model based on interference decomposition was proposed to understand the target interferences, providing profound guidance for the design of ultra-accurate LCWIS. As a proof, we designed a cellulose-polyacrylate-cellulose LCWIS (CPC-LCWIS) with ultrahigh accuracies (∼1.2% RH and ∼0.18 °C) beyond commercial wired gauges. The CPC-LCWIS with full-coil sensing structures achieved exceptionally high sensitivities (0.36 MHz/°C and 0.25 MHz/% RH). The CPC-LCWIS was validated for health monitoring and human-machine interfaces. The concept studied in this work provides profound guidance for designing a high-performance flexible LCWIS for advanced wearable electronics.

Elevated serum levels of the NLRP3 inflammasome are associated with the severity of anti-NMDAR encephalitis in children.

BACKGROUND: Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is the most common autoimmune encephalitis, mainly impacting young females and children. The involvement of the Nod-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome and related cytokines in pediatric individuals with this condition remains unclear. METHODS: We collected information from 27 children who had anti-NMDAR encephalitis and 12 individuals with non-inflammatory neurological disorders as controls. We used an enzyme-linked immunosorbent assay (ELISA) to identify NLRP3 inflammasome, interleukin (IL)-1ß, and IL-18 expression in cerebrospinal fluid (CSF) and matching serum samples. The modified Rankin Scale (mRS) score was performed throughout the acute phase and at the 6-month follow-up to determine the severity of the disease. The area under the curve (AUC) of the receiver operating characteristic curve was utilized to calculate the prediction efficacy. RESULTS: When compared to controls, individuals with anti-NMDAR encephalitis had significantly increased serum expression of the NLRP3 inflammasome (p < 0.001), IL-1ß (p < 0.05), and IL-18 (p < 0.01). In the acute phase, mRS scores were correlated positively with serum levels of NLRP3 inflammasome (p = 0.008), IL-1ß (p = 0.023), and IL-18 (p < 0.001). A positive connection was also found between serum levels of NLRP3 inflammasome and IL-1ß (p = 0.005). Furthermore, the expression of IL-1ß and IL-18 in serum correlated with the 6-month follow-up outcome. The AUC for NLRP3 inflammasome in distinguishing patients with severe neurologic impairments from those with moderate impairments was 0.808 (95 % CI: 0.645-0.972). CONCLUSION: In our investigation, children with anti-NMDAR encephalitis have more severe first clinical presentations when their serum concentrations of the NLRP3 inflammasome and related cytokines were higher. These findings provide a potential role for the NLRP3 inflammasome pathway in the pathogenesis of NMDAR encephalitis and provide a basis for targeted therapeutic interventions.

Associations between urinary heavy metals and anxiety among adults in the National Health and Nutrition Examination Survey (NHANES), 2007-2012.

BACKGROUND: Few studies have investigated the associations between heavy metals and anxiety. The purpose of this study was to examine the associations between single and combined exposure to heavy metals and anxiety. METHODS: This study employed data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2012. Anxiety was assessed by patients self-reporting the number of anxious days per month. First, we evaluated the associations between 10 heavy metals single exposure and anxiety by multivariable logistic regression. We then selected 5 heavy metals (cadmium, antimony, cobalt, tungsten, and uranium) for further analysis by elastic net regression. Subsequently, principal component analysis (PCA), weighted quantile regression (WQS), and Bayesian kernel machine regression (BKMR) were utilized to evaluate the associations between 5 heavy metals co-exposure and anxiety. RESULTS: This study included 4512 participants, among whom 1206 participants were in an anxiety state. Urinary cadmium and antimony were separately related to an increased risk of anxiety (p for trend <0.01 and < 0.01, respectively). In PCA analysis, PC1 was associated with an increased risk of anxiety (p for trend <0.001). In WQS analysis, the positive WQS index was substantially linked with the risk of anxiety (OR (95%CI): 1.23 (1.04,1.39)). In BKMR analysis, the overall effects of co-exposure to heavy metals were positively connected with anxiety. CONCLUSION: Our study identified a positive correlation between individual exposure to cadmium and antimony and the risk of anxiety. Additionally, the co-exposure to cadmium, antimony, cobalt, tungsten, and uranium was associated with an increased risk of anxiety.

Association between the Healthy Eating Index-2015 and Developmental Disabilities in Children: A Cross-Sectional Analysis.

Few studies have examined the association between dietary quality and the risk of developmental disabilities (DDs). This study aimed to investigate the association between dietary quality and the risk of DDs in US children aged 5 to 15. We employed data from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Multivariable logistic regression was used to evaluate the association between HEI-2015 score, HEI component score, and the likelihood of DDs. Restricted cubic splines (RCS) were utilized to investigate nonlinear links between HEI-2015 score and the likelihood of DDs. Interaction analysis was utilized to explore differences between subgroups. HEI-2015 score was negatively linked with the risk of DDs after adjusting covariates [odds ratio (OR) = 0.99; 95% confidence interval (CI) = (0.98, 1.00)]. HEI-2015 score was separated by quartile into Q1, Q2, Q3, and Q4. Q1 represents the lowest HEI scores, while Q4 represents the highest HEI scores. Children in the fourth quartile of the HEI-2015 exhibited a decreased prevalence of DDs compared to those in the first quartile [(OR = 0.69; 95% CI = (0.53, 0.89)]. The association between HEI-2015 score and the risk of DDs was modified by race/ethnicity. The higher HEI-2015 score was associated with a lower risk of DDs, suggesting that better dietary quality may reduce the risk of DDs in children.

Depression associated with dietary intake of flavonoids: An analysis of data from the National Health and Nutrition Examination Survey, 2007-2010.

BACKGROUND: Flavonoids may have a protective effect against depression. The purpose of this study was to examine whether flavonoid intake was associated with depression. METHODS: This is an observational cross-sectional study. We evaluated a sample of 8183 adults from the National Health and Nutrition Examination Survey (NHANES), 2007-2010. The participants had an average age of 46.7 years, and 48.4% of them were male. Flavonoid intake was obtained through dietary recall interviews, and it included six subclasses: isoflavones, anthocyanidins, flavan-3-ols, flavanones, flavones, and flavonols. Depression was identified using the Patient Health Questionnaire (PHQ-9). Logistic regression was utilized to evaluate the association between flavonoid intake and depression. Restricted cubic splines (RCS) were utilized to investigate nonlinear associations. Differences between subgroups were explored. Mediation analysis was used to explore confounding/mediating factors. These models were adjusted for age, sex, race/ethnicity, poverty status, education, smoking status, alcohol consumption, BMI, energy intake, physical activity, and chronic diseases. RESULTS: There were 765 individuals with depression (PHQ-9 score ≥ 10) in the sample. After adjusting for covariates, flavanones, flavones, and total flavonoid intake were associated with a lower likelihood of depression (OR (95% CI): 0.73(0.64,0.84); 0.36(0.21,0.63); 0.86(0.74,0.99), respectively). A significant inverse correlation was observed between flavonoid consumption and the somatic symptom score of the PHQ-9. We observed a stronger association between flavonoids and depression in non-Hispanic white groups. The relationship between the total flavonoid intake and depression was explained to some extent by sleep duration (13.8%). CONCLUSIONS: Flavonoid intake was associated with lower odds of depression.

Self-prediction of relations in GO facilitates its quality auditing.

As applications of the gene ontology (GO) increase rapidly in the biomedical field, quality auditing of it is becoming more and more important. Existing auditing methods are mostly based on rules, observed patterns or hypotheses. In this study, we propose a machine-learning-based framework for GO to audit itself: we first predict the IS-A relations among concepts in GO, then use differences between predicted results and existing relations to uncover potential errors. Specifically, we transfer the taxonomy of GO 2020 January release into a dataset with concept pairs as items and relations between them as labels(pairs with no direct IS-A relation are labeled as ndrs). To fully obtain the representation of each pair, we integrate the embeddings for the concept name, concept definition, as well as concept node in a substring-based topological graph. We divide the dataset into 10 parts, and rotate over all the parts by choosing one part as the testing set and the remaining as the training set each time. After 10 rotations, the prediction model predicted 4,640 existing IS-A pairs as ndrs. In the GO 2022 March release, 340 of these predictions were validated, demonstrating significance with a p-value of 1.60e-46 when compared to the results of randomly selected pairs. On the other hand, the model predicted 2,840 out of 17,079 selected ndrs in GO to be IS-A's relations. After deleting those that caused redundancies and circles, 924 predicted IS-A's relations remained. Among 200 pairs randomly selected, 30 were validated as missing IS-A's by domain experts. In conclusion, this study investigates a novel way of auditing biomedical ontologies by predicting the relations in it, which was shown to be useful for discovering potential errors.

Dietary Intake of Flavonoids Associated with Sleep Problems: An Analysis of Data from the National Health and Nutrition Examination Survey, 2007-2010.

Flavonoids possess the latent ability to protect against sleep disorders. We examined the correlation between daily flavonoid intake and sleep duration, and sleep disorders. We enrolled 8216 participants aged ≥ 20 from the National Health and Nutrition Examination Survey (NHANES, 2007-2010), carrying out a cross-sectional study. Flavonoid intake was collected by dietary intake interview recalls. Logistic regression was utilized to evaluate the association between flavonoid intake sleep duration, and sleep disorders. We used subgroup and interaction analysis to explore differences between subgroups. When adjusting covariates in model 2, anthocyanidins, flavan-3-ols, flavones, flavonols, and the sum of flavonoids were considerably related to insufficient sleep duration (odds ratio (OR) (95% confidence interval (CI)); 0.83 (0.72, 0.95); 0.91 (0.83, 0.98); 0.63 (0.41, 0.98); 0.78 (0.64, 0.94); 0.85 (0.76, 0.95), respectively); the converse association was observed between flavanones, and flavones and the risk of sleep disorders (OR (95% CI); 0.85 (0.77, 0.95); 0.61 (0.41, 0.90), respectively). In relation to insufficient sleep, there were statistically significant interactions between flavonoid consumption and race/ethnicity, and education level. In relation to insufficient sleep, there were statistically significant interactions between flavonoid consumption and working status. In this study, we found that certain flavonoids were linked to increased sleep duration and a lower risk of sleep problems. Our research indicated that flavonoids might be a preventive factor for sleep disorders.

SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.

Super-enhancers are large domains on the genome where multiple short typical enhancers within a specific genomic distance are stitched together. Typically, they are cell type-specific and responsible for defining cell identity and regulating gene transcription. Numerous studies have demonstrated that super-enhancers are enriched for trait-associated variants, and mutations in super-enhancers are possibly related to known diseases. Recently, several machine learning-based methods have been used to distinguish super-enhancers from typical enhancers by using high-throughput data from various experimental methods. The acquisition of such experimental data is usually costly and time-consuming. In this paper, we innovatively proposed SENet, a groundbreaking method based on a deep neural network model, for discriminating between the two categories solely utilizing sequence information. SENet employs dna2vec feature embedding, convolution for local feature extraction, attention pooling for refined feature retention, and Transformer for contextual information extraction. Experiments demonstrate that SENet outperforms all current state-of-the-art computational methods and shows satisfactory performance in cross-species validation. Our method pioneers the distinction between super-enhancers and typical ones using only sequence information. The source code and datasets are stored in https://github.com/lhy0322/SENet.

Inflammatory properties of diet mediate the effect of epilepsy on moderate to severe depression: Results from NHANES 2013-2018.

BACKGROUND: Depression is a major public health problem, and epilepsy and a high-inflammatory diet are important causes of depression. We aimed to explore the level of dietary inflammation in epileptic patients and its relationship with moderate to severe depression (MSD). METHODS: This cross-sectional study included 12,788 participants aged 20-80 years from the NHANES database from 2013 to 2018. Depressive symptoms were evaluated using the nine-item Patient Health Questionnaire (PHQ-9), and epilepsy was diagnosed based on the use of antiepileptic drugs within the previous 30 days. Dietary inflammatory index (DII) scores and energy-adjusted DII (E-DII) scores were calculated based on dietary recalls of the past 24 h, and average DII (ADII) and energy-adjusted ADII (E-ADII) were calculated based on two 24-hour dietary recalls. RESULTS: The DII, E-DII, and ADII scores and prevalence of MSD were significantly increased in epileptic patients compared with non-epilepsy subjects. The E-ADII score (P = 0.078) was weakly associated with comorbid MSD in patients with epilepsy. Mediation models showed that dietary inflammation scores mediated 2.31 % to 12.25 % of epilepsy-related MSD. In stratified analysis, an increased prevalence of MSD was present in the Quartile 2 subgroup based on DII and E-ADII scores and in the Quartile 3 subgroup of epileptic patients based on DII, E-DII, and ADII scores. CONCLUSIONS: Epileptics consume more proinflammatory foods and nutrients than control subjects. MSD in patients with epilepsy is associated with their high inflammatory diet. Suggesting an urgent need for rational dietary management in the epileptic population.

The dysfunctionality of hippocampal synapses may be directly related to PM-induced impairments in spatial learning and memory in juvenile rats.

Epidemiological studies have demonstrated that exposure to air particulate matter (PM) increases the incidence of cardiovascular and respiratory diseases and exerts a significant neurotoxic effect on the nervous system, especially on the immature nervous system. Here, we selected PND28 rats to simulate the immature nervous system of young children and used neurobehavioral methods to examine how exposure to PM affected spatial learning and memory, as well as electrophysiology, molecular biology, and bioinformatics to study the morphology of hippocampus and the function of hippocampal synapses. We discovered that spatial learning and memory were impaired in rats exposed to PM. The morphology and structure of the hippocampus were altered in the PM group. In addition, after exposure to PM, the relative expression of synaptophysin (SYP) and postsynaptic density 95 (PSD95) proteins decreased dramatically in rats. Furthermore, PM exposure impaired long-term potentiation (LTP) in the hippocampal Schaffer-CA1 pathway. Interestingly, RNA sequencing and bioinformatics analysis revealed that the differentially expressed genes (DEGs) were rich in terms associated with synaptic function. Five hub genes (Agt, Camk2a, Grin2a, Snca, and Syngap1) that may play a significant role in the dysfunctionality of hippocampal synapses were identified. Our findings implied that exposure to PM impaired spatial learning and memory via exerting impacts on the dysfunctionality of hippocampal synapses in juvenile rats and that Agt, Camk2a, Grin2a, Snca, and Syngap1 may drive PM-caused synaptic dysfunction.