Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Buyang Huanwu Decoction(BYHWD), as one of the classic formulas in traditional Chinese medicine(TCM) for the treatment of cerebral ischemic stroke(CIS), has demonstrated definite effects in clinical practice. However, the material basis and mechanism of treatment have not been systematically elucidated. This study employed network pharmacology and molecular docking to analyze the potential targets and mechanisms of blood-and brain-penetrating active components of BYHWD in reducing cell apoptosis in CIS. Cell experiments were then carried out to validate the prediction results. In the experiments, five active components including hydroxysafflor yellow A( HSYA), tetramethylpyrazine( TMP), astragaloside Ⅳ( AS-Ⅳ), amygdalin( AMY), and paeoniflorin(PF) were selected to explore the pharmacological effects of BYHWD. HT22 cells were treated with BYHWD, and the cell counting kit-8(CCK-8) method was employed to examine the toxic and side effects of BYHWD. A cell model of oxygen-glucose deprivation/reoxygenation( OGD/R) was constructed, with apoptosis and pyroptosis as the main screening indicators. The levels of lactate dehydrogenase(LDH) and glutathione(GSH) were measured to assess the cell membrane integrity. Flow cytometry was employed to detect apoptosis, and the activities of caspase-3 and caspase-1 were measured to clarify the status of apoptosis and pyroptosis. ELISA was employed to determine the levels of interleukin(IL)-1β and IL-18 to confirm pyroptosis. HSYA and AMY were identified in this study as the active components regulating apoptosis and pyroptosis. TUNEL was employed to detect the apoptosis rate, and Western blot was employed to determine the expression levels of apoptosis-related proteins B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), and caspase-3, which confirmed that the anti-apoptotic effect of the combined component group was superior to that of the single component groups. The molecular docking results revealed strong binding affinity of HSYA and AMY with SDF-1α and CXCR4.AMD3100, a selective antagonist of CXCR4, was then used for intervention. The results of Western blot showed alterations in the expression levels of apoptosis-associated proteins, SDF-1α, and CXCR4. In conclusion, HSYA and AMY influence cellular apoptosis by modulating the SDF-1α/CXCR4 signaling cascade.
Drugs, Chinese Herbal/chemistry* ; Apoptosis/drug effects* ; Animals ; Neurons/cytology* ; Mice ; Molecular Docking Simulation ; Cell Line ; Glucose/metabolism* ; Humans ; Neuroprotective Agents/pharmacology*

This study aims to explore the effects and action mechanisms of the active ingredients in Buyang Huanwu Decoction(BYHWD), namely tetramethylpyrazine(TMP) and hydroxy-safflor yellow A(HSYA), on oxygen-glucose deprivation/reglucose-reoxygenation(OGD/R)-induced inflammation and oxidative stress of microglia(MG). Network pharmacology was used to screen the effective monomer ingredients of BYHWD and determine the safe concentration range for each component. Inflammation and oxidative stress models were established to further screen the best ingredient combination and optimal concentration ratio with the most effective anti-inflammatory and antioxidant effects. OGD/R BV2 cell models were constructed, and BV2 cells in the logarithmic growth phase were divided into a normal group, a model group, an HSYA group, a TMP group, and an HSYA + TMP group. Enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of inflammatory cytokines such as interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), and interleukin-6(IL-6). Oxidative stress markers, including superoxide dismutase(SOD), nitric oxide(NO), and malondialdehyde(MDA), were also measured. Western blot was used to analyze the protein expression of both inflammation-related pathway [Toll-like receptor 4(TLR4)/nuclear factor-kappa B(NF-κB)] and oxidative stress-related pathway [nuclear factor erythroid 2-related factor 2(Nrf2)/heme oxygenase-1(HO-1)]. Immunofluorescence was used to assess the expression of proteins such as inducible nitric oxide synthase(iNOS) and arginase-1(Arg-1). The most effective ingredients for anti-inflammatory and antioxidant effects in BYHWD were TMP and HSYA. Compared to the normal group, the model group showed significantly increased levels of IL-1β, TNF-α, IL-6, NO, and MDA, along with significantly higher protein expression of NF-κB, TLR4, Nrf2, and HO-1 and significantly lower SOD levels. The differences between the two groups were statistically significant. Compared to the model group, both the HSYA group and the TMP group showed significantly reduced levels of IL-1β, TNF-α, IL-6, NO, and MDA, lower expression of NF-κB and TLR4 proteins, higher levels of SOD, and significantly increased protein expression of Nrf2 and HO-1. Additionally, the expression of the M1-type MG marker iNOS was significantly reduced, while the expression of the M2-type MG marker Arg-1 was significantly increased. The results of the HSYA group and the TMP group had statistically significant differences from those of the model group. Compared to the HSYA group and the TMP group, the HSYA + TMP group showed further significant reductions in IL-1β, TNF-α, IL-6, NO, and MDA levels, along with significant reductions in NF-κB and TLR4 protein expression, an increase in SOD levels, and elevated Nrf2 and HO-1 protein expression. Additionally, the expression of the M1-type MG marker iNOS was reduced, while the M2-type MG marker Arg-1 expression increased significantly in the HSYA + TMP group compared to the TMP or HSYA group. The differences in the results were statistically significant between the HSYA + TMP group and the TMP or HSYA group. The findings indicated that the combined use of HSYA and TMP, the active ingredients of BYHWD, can effectively inhibit OGD/R-induced inflammation and oxidative stress of MG, showing superior effects compared to the individual use of either component.
Oxidative Stress/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Animals ; Mice ; Glucose/metabolism* ; Cell Line ; Inflammation/genetics* ; Oxygen/metabolism* ; Pyrazines/pharmacology* ; Microglia/metabolism* ; NF-E2-Related Factor 2/immunology* ; NF-kappa B/immunology* ; Toll-Like Receptor 4/immunology* ; Anti-Inflammatory Agents/pharmacology* ; Humans

Brain organoids are three-dimensional (3D) neural cultures that self-organize from pluripotent stem cells (PSCs) cultured in vitro. Compared with traditional two-dimensional (2D) neural cell culture systems, brain organoids demonstrate a significantly enhanced capacity to faithfully replicate key aspects of the human brain, including cellular diversity, 3D tissue architecture, and functional neural network activity. Importantly, they also overcome the inherent limitations of animal models, which often differ from human biology in terms of genetic background and brain structure. Owing to these advantages, brain organoids have emerged as a powerful tool for recapitulating human-specific developmental processes, disease mechanisms, and pharmacological responses, thereby providing an indispensable model for advancing our understanding of human brain development and neurological disorders. Despite their considerable potential, conventional brain organoids face a critical limitation: the absence of a functional vascular system. This deficiency results in inadequate oxygen and nutrient delivery to the core regions of the organoid, ultimately constraining long-term viability and functional maturation. Moreover, the lack of early neurovascular interactions prevents these models from fully recapitulating the human brain microenvironment. In recent years, the introduction of vascularization strategies has significantly enhanced the physiological relevance of brain organoid models. Researchers have successfully developed various vascularized brain organoid models through multiple innovative approaches. Biological methods, for example, involve co-culturing brain organoids with endothelial cells to induce the formation of static vascular networks. Alternatively, co-differentiation strategies direct both mesodermal and ectodermal lineages to generate vascularized tissues, while fusion techniques combine pre-formed vascular organoids with brain organoids. Beyond biological approaches, tissue engineering techniques have played a pivotal role in promoting vascularization. Microfluidic systems enable the creation of dynamic, perfusable vascular networks that mimic blood flow, while 3D printing technologies allow for the precise fabrication of artificial vascular scaffolds tailored to the organoid’s architecture. Additionally, in vivo transplantation strategies facilitate the formation of functional, blood-perfused vascular networks through host-derived vascular infiltration. The incorporation of vascularization has yielded multiple benefits for brain organoid models. It alleviates hypoxia within the organoid core, thereby improving cell survival and supporting long-term culture and maturation. Furthermore, vascularized organoids recapitulate critical features of the neurovascular unit, including the early structural and functional characteristics of the blood-brain barrier. These advancements have established vascularized brain organoids as a highly relevant platform for studying neurovascular disorders, drug screening, and other applications. However, achieving sustained, long-term functional perfusion while preserving vascular structural integrity and promoting vascular maturation remains a major challenge in the field. In this review, we systematically outline the key stages of human neurovascular development and provide a comprehensive analysis of the various strategies employed to construct vascularized brain organoids. We further present a detailed comparative assessment of different vascularization techniques, highlighting their respective strengths and limitations. Additionally, we summarize the principal challenges currently faced in brain organoid vascularization and discuss the specific technical obstacles that persist. Finally, in the outlook section, we elaborate on the promising applications of vascularized brain organoids in disease modeling and drug testing, address the main controversies and unresolved questions in the field, and propose potential directions for future research.

Aim To explore the effect of hydroxysafflor yellow A(HSYA)on lipocalin 2(LCN2)-induced fer-roptosis in HT22 cells and the related mechanism.Methods Thirty male Sprague-Dawley(SD)rats were used to establish the middle cerebral artery occlu-sion/reperfusion(MCAO/R)model by the suture method.The rats were randomly divided into the Sham group,the MCAO/R group,and the MCAO/R+HSYA group.The infarct area was measured by TTC staining,and the degree of neurological deficit was evaluated by the Z-Longa scoring method.The expressions of LCN2 and 24P3R in brain tissues were detected by Western blot.LCN2 protein was added to HT-22 cells,and the cells were divided into the normal group,the LCN2 group,and the LCN2+HSYA group.The optimal con-centration of LCN2-induced neuronal ferroptosis was screened by LDH assay and Western blot,and the ex-pression levels of ferritin,FPN1,GPX4,SLC7A11,COX2,and 24P3R were detected.LCN2 was knocked down by siRNA transfection,and the expressions of GPX4 and ferritin were detected.The contents of glu-tathione(GSH),malondialdehyde(MDA),GPX4,and Fe2+were determined by colorimetry,and the expres-sion of GPX4 was detected by immunofluorescence.The binding force between HSYA and LCN2 was ana-lyzed by molecular docking technology.Results Ani-mal experiments showed that HSYA could reduce the cerebral infarction area and decrease the neurological function score of MCAO/R rats.Compared with the sham group,the levels of LCN2 and 24P3R increased in the MCAO/R group,while HSYA inhibited their ex-pressions.Cell experiments showed that the optimal concentration of LCN2 to induce ferroptosis in HT22 cells was 2 μmol·L-1.After knocking down LCN2 by siRNA transfection,compared with the LCN2 group,the expression levels of GPX4 and ferritin in the siLCN2 group increased significantly.Compared with the nor-mal group,the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH in the LCN2 group decreased signifi-cantly,while the concentration of Fe2+,and the expres-sions of MDA,COX2,and 24P3R increased.HSYA could increase the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH,reduce the contents of Fe2+and MDA,and inhibit the expressions of COX2 and 24P3R.Molecular docking showed that the binding en-ergy between HSYA and LCN2 was-8.0 kJ·mol-1.Conclusion HSYA can inhibit LCN2-induced ferrop-tosis in HT22 cells through the SLC7A11/GPX4 signa-ling pathway.

Aim To explore the effect of hydroxysafflor yellow A(HSYA)on lipocalin 2(LCN2)-induced fer-roptosis in HT22 cells and the related mechanism.Methods Thirty male Sprague-Dawley(SD)rats were used to establish the middle cerebral artery occlu-sion/reperfusion(MCAO/R)model by the suture method.The rats were randomly divided into the Sham group,the MCAO/R group,and the MCAO/R+HSYA group.The infarct area was measured by TTC staining,and the degree of neurological deficit was evaluated by the Z-Longa scoring method.The expressions of LCN2 and 24P3R in brain tissues were detected by Western blot.LCN2 protein was added to HT-22 cells,and the cells were divided into the normal group,the LCN2 group,and the LCN2+HSYA group.The optimal con-centration of LCN2-induced neuronal ferroptosis was screened by LDH assay and Western blot,and the ex-pression levels of ferritin,FPN1,GPX4,SLC7A11,COX2,and 24P3R were detected.LCN2 was knocked down by siRNA transfection,and the expressions of GPX4 and ferritin were detected.The contents of glu-tathione(GSH),malondialdehyde(MDA),GPX4,and Fe2+were determined by colorimetry,and the expres-sion of GPX4 was detected by immunofluorescence.The binding force between HSYA and LCN2 was ana-lyzed by molecular docking technology.Results Ani-mal experiments showed that HSYA could reduce the cerebral infarction area and decrease the neurological function score of MCAO/R rats.Compared with the sham group,the levels of LCN2 and 24P3R increased in the MCAO/R group,while HSYA inhibited their ex-pressions.Cell experiments showed that the optimal concentration of LCN2 to induce ferroptosis in HT22 cells was 2 μmol·L-1.After knocking down LCN2 by siRNA transfection,compared with the LCN2 group,the expression levels of GPX4 and ferritin in the siLCN2 group increased significantly.Compared with the nor-mal group,the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH in the LCN2 group decreased signifi-cantly,while the concentration of Fe2+,and the expres-sions of MDA,COX2,and 24P3R increased.HSYA could increase the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH,reduce the contents of Fe2+and MDA,and inhibit the expressions of COX2 and 24P3R.Molecular docking showed that the binding en-ergy between HSYA and LCN2 was-8.0 kJ·mol-1.Conclusion HSYA can inhibit LCN2-induced ferrop-tosis in HT22 cells through the SLC7A11/GPX4 signa-ling pathway.

Objective This study aimed to comprehensively survey the tick distribution in the natural scenic belts of various counties and districts in Huai'an City, Jiangsu Province, and to provide guidance on tick control measures. Methods From 2023 to 2024, questing ticks in 29 natural scenic belts spanning seven counties and districts of Huai'an City were collected using hand-scratching method. Further, parasitic ticks in the surrounding areas were collected using the animal search method. Collected ticks were subsequently identified to the species level in the laboratory. Results In total, 288 questing ticks were collected, all belonging to the genus Haemaphysalis of family Ixodidae. Hae. longicornis was the dominant species, accounting for 98.61%, followed by Hae. flava(1.04%)and Hae. phasiana(0.35%). The average tick density index in Lotus Lake Scenic Area(Jinhu County), All-People Fitness Theme Park(Lianshui County), Peach Blossom Valley(Qingjiangpu District), Huai'an Forest Park(Huai'an District), Qizu of Gaozhuang Village(Hongze District), Ancient Yellow River Sports Park(Huaiyin District), Putao Trench and(Xuyi County)was 0.022, 0.025, 0.01, 0.10,0.22,0.28, and 0.79 ticks/flag·100 m, respectively. In total,114 parasitic ticks were collected at the monitoring sites, with an average tick infestation rate of 69.25% in sheep and 100% in dogs at Tianquanhu Town in Xuyi County; all of these were Hae. longicornis. All parasitic ticks were from Xuyi County, and no parasitic ticks were found at the monitoring sites in Huai'an District, Hongze District, and Lianshui County. Conclusions Overall, with the advancement of eco-tourism resorts and urban greening construction in Huai'an City, the presence of ticks was confirmed by this study in previously unsurveyed areas. As the frequency of human-animal interactions increases in these areas, the potential risk of tick-borne diseases also rises. Furthermore, this study provides important clues for subsequent investigations into local tick-borne pathogens.

Trihelix transcription factors play important roles in plant light responses, growth and development, and stress responses. However, Trihelix has not yet been reported in Eucommia ulmoides. In this study, bioinformatics methods were used to comprehensively identify and analyze the expression patterns of the Trihelix gene family in E. ulmoides, aiming to provide a basis for further functional studies of EuGTs genes. A total of 9 Trihelix gene family members were identified in E. ulmoides, encoding proteins with 339 to 883 amino acids, with isoelectric points ranging from 5.13 to 9.39 and relative molecular weights between 36 992.06 and 97 871.61. Subcellular localization results showed that only EuGT-2 was localized in chloroplasts, while the others were located in the nucleus. The Trihelix gene family was categorized into six subfamilies: GT-1, GT-2, SH4, SIP1, GTγ, and GTδ. EuGTs were distributed among three subfamilies: SH4, GT-1, and GT-2, containing 1, 6, and 2 Trihelix proteins, respectively, with 2 to 17 exons. The promoters of EuGTs contained various cis-acting elements related to hormones, stress, photoperiod, and growth and development. Collinearity analysis revealed 5 collinear gene pairs between E. ulmoides and Arabidopsis thaliana, and 14 collinear gene pairs between E. ulmoides and Populus. Expression pattern analysis showed that EuGTs exhibited tissue-specific expression: EuGT-1, EuGT-2 had the highest expression levels in leaves, EuGT-4, EuGT-6, EuGT-9 had the highest transcriptional levels in marginal peel, and EuGT-5、EuGT-8 were predominantly expressed in the xylem. As leaves developed, EuGTs showed a trend of asynchronous changes. No significant differences in EuGTs expression were observed between male and female flowers, with high expression levels mainly during the induction stage of flowering. The qRT-PCR analysis indicated that most EuGTs genes were most highly expressed in the leaves of E. ulmoides, while EuGT-5 was highly expressed in the stems. Under 200 mmol·L~(-1) NaCl treatment, most EuGTs genes exhibited an initial increase followed by a decrease in expression, significantly responding to salt stress. This study provides important genetic resources for further exploration of EuGTs gene functions and germplasm innovation in E. ulmoides.
Plant Proteins/metabolism* ; Gene Expression Regulation, Plant ; Eucommiaceae/chemistry* ; Phylogeny ; Multigene Family/genetics* ; Gene Expression Profiling ; Transcription Factors/metabolism* ; Genome, Plant/genetics*

Objective:To establish a rapid quantitative PCR (qPCR) technique for Mycobacterium marinum skin infections, and to analyze its clinical diagnostic efficiency. Methods:DNA was extracted from Mycobacterium marinum colonies and serially diluted (10 -1 to 10 -8). Twelve pairs of previously reported primers and probes, as well as 6 pairs of newly designed primers and probes in this study, were used for qPCR amplification to identify the most sensitive primers and probes for the detection of Mycobacterium marinum. Skin lesion tissues were collected from 72 patients with confirmed Mycobacterium marinum infections (experimental group) and 68 with other mycobacterial infections (control group) at Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences in 2021. These skin tissues were subjected to qPCR amplification, interferon-gamma release assay (IGRA), acid-fast staining, and tissue culture to evaluate the diagnostic efficacy. Results:The newly designed primers and probes targeting the mycobacterial enhanced infection locus 2 (Mel2) demonstrated the highest sensitivity, with a detection limit of 0.86 copies/μl (cycle threshold value = 37) ; the qPCR amplification with the Mel2 primers/probes did not yield positive results when used for the detection of other mycobacteria (including Mycobacterium leprae and Staphylococcus spp) . Among the 72 patients in the experimental group, 44 were positive for qPCR with a sensitivity of 61.1% (95% CI: 49.6% - 71.5%), and 47 were positive for culture with a sensitivity of 65.2% (95% CI: 53.8% - 75.3%) ; all the 68 controls were negative for both qPCR and culture, with their specificities both being 100%. Among 65 patients subjected to IGRA, 31 were positive with a sensitivity of 47.7% (95% CI: 36.0% - 59.6%), while 16 out of 25 controls were negative for IGRA with a specificity of 64.0% (95% CI: 44.5% - 79.8%). Among 58 patients subjected to acid-fast staining, 37 were positive with a sensitivity of 63.8% (95% CI: 50.9% - 74.9%), and 52 out of 66 controls were negative for acid-fast staining with a specificity of 78.8% (95% CI: 67.5% - 86.9%). The combination of qPCR and culture resulted in a sensitivity of 93% and a specificity of 100% for the detection of Mycobacterium marinum. Conclusion:In this study, a highly sensitive qPCR assay was developed for the detection of Mycobacterium marinum, and its combination with culture could further improve the detection sensitivity.

OBJECTIVE: To explore the effect of nootkatone (NKT) on chronic unpredictable mild stress (CUMS)-induced depressive-like behaviors and the mechanism underlying NKT improving the depressive-like behaviors. METHODS: The CUMS-induced depression model was established in mice. Fifty mice were randomized into 5 groups (n=10) in accordance with a random number table: control group, CUMS group, CUMS + NKT (6 mg/kg) group, CUMS + NKT (12 mg/kg) group, and CUMS + ketamine group. From the 22th day, NKT (6 or 12 mg/kg) or ketamine (0.5 mg/kg) was given with intragastric administration every day for 21 days. Behavioral tests including forced swimming test (FST), tail suspension test (TST), sucrose preference test (SPT) and open-field test (OFT) were carried out. The mRNA and protein expressions of interleukin (IL)-1β, IL-18, IL-6, and tumor necrosis factor (TNF)-α in hippocampus were assessed using quantitative realtime polymerase chain reaction (PCR), Western blot analysis, and enzyme linked immunosorbent assay. The nuclear factor-κB (NF-κB)/NOD-like receptor 3 (NLRP3) inflammasome pathway was analyzed using Western blot and immunofluorescence analysis. RESULTS: NKT treatment improved CUMS-induced depressive-like behaviors in mice (P<0.05 or P<0.01). NKT significantly decreased the mRNA and protein levels of IL-1β, IL-18, IL-6, and TNF-α in hippocampus of CUMS mice (P<0.05 or P<0.01). Furthermore, NKT repressed CUMS-induced activation of NF-κB signaling and NLRP3 inflammasome (P<0.01). More important, Nigericin, a NLRP3 activator, destroyed the effect of NKT on repressing neuroinflammation and improving depressive-like behaviors (P<0.05 or P<0.01). CONCLUSION NKT ameliorates the depressive-like symptoms, in part by repressing NF-κB/NLRP3-mediated neuroinflammation.