Comparison of the efficacy and safety of sodium valproate versus levetiracetam in the treatment of severe traumatic brain injury.

OBJECTIVE: To observe the efficacy and safety of sodium valproate (VPA) compared to levetiracetam (LEV) in the treatment of severe traumatic brain injury (sTBI). METHODS: In this blind, prospective study, eighty-four sTBI patients who had craniotomy from August 2021 to August 2023 were randomly split into two groups through random number table method: LEV and VPA, each with 42 patients. Both received comprehensive treatment post-craniotomy. LEV group: LEV injection on surgery day, transitioning to LEV tablets from day two. VPA group: VPA injection on surgery day, switching to VPA extended-release tablets from day two. The study compared hospital stay, neurological function, clinical outcomes, seizures, and drug reactions between groups. RESULTS: The length of hospital stay showed no significant difference between the LEV and VPA groups. Both groups demonstrated improved neurological function post-treatment (NIHSS and BI scores), with no significant between-group differences. Clinical outcomes at 3 months post-treatment were similar in both groups. Seizure occurrence within 3 months after treatment showed no significant difference between the LEV (19.05%) and VPA (23.81%) groups. However, the VPA group experienced a significantly higher rate of drug-related adverse reactions (40.48%) compared to the LEV group (21.43%). CONCLUSION: Both VPA and LEV are effective in treating sTBI, showing no significant difference in improving neurological function, daily life abilities, treatment outcomes, and seizure occurrence. However, VPA treatment exhibited a significantly higher incidence of drug-related adverse reactions compared to LEV, indicating that LEV might be a safer option for sTBI treatment.

TNEA therapy promotes the autophagic degradation of NLRP3 inflammasome in a transgenic mouse model of Alzheimer's disease via TFEB/TFE3 activation.

BACKGROUND: The impairment in the autophagy-lysosomal pathway (ALP) and the activation of NLR family pyrin domain containing 3 (NLRP3) inflammasome represent two molecular events leading to neurodegeneration and neuroinflammation in Alzheimer's disease (AD), a devastating neurodegenerative disorder without a cure. Previously we demonstrated the cognitive-enhancing effect of a combined electroacupuncture (EA) therapy termed TNEA in a transgenic mouse model of AD, involving activation of transcription factor EB (TFEB), a master regulator of ALP. However, whether and how TNEA inhibits NLRP3 inflammasome via TFEB-mediated ALP in AD remains to be investigated. METHODS: 5xFAD mice overexpressing amyloid-ß (Aß) were treated with TNEA or EA on its composing acupoints (GB13 and GV24). The changes in the signaling pathways regulating NLRP3 inflammasome, the association of NLRP3 inflammasome with ALP, and the roles of TFEB/TFE3 in mice brains were determined by immunoblots, immunohistochemistry and AAV-mediated knockdown assays. RESULTS: TNEA inhibits the activation of NLRP3 inflammasome and the release of active interleukin 1ß (IL1B) in the hippocampi of 5xFAD mice. Mechanistically, TNEA promoted the autophagic degradation of inflammasome components via activating both TFEB and TFE3 by modulating kinases including AMPK and AKT. The composing acupoints in TNEA showed synergistic effects on regulating these molecular events and memory improvement. CONCLUSION: Our findings suggest that TNEA attenuates AD-associated memory impairment via promoting TFEB/TFE3-mediated autophagic clearance of Aß and NLRP3 inflammasome, and partially reveal the molecular basis of combined acupoints therapy originated from ancient wisdom.

Network pharmacology and molecular docking analysis on molecular targets and mechanisms of Huashi Baidu formula in the treatment of COVID-19.

PURPOSE: Huashi Baidu formula (HSBDF) was developed to treat the patients with severe COVID-19 in China. The purpose of this study was to explore its active compounds and demonstrate its mechanisms against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through network pharmacology and molecular docking. METHODS: All the components of HSBDF were retrieved from the pharmacology database of TCM system. The genes corresponding to the targets were retrieved using UniProt and GeneCards database. The herb-compound-target network was constructed by Cytoscape. The target protein-protein interaction network was built using STRING database. The core targets of HSBDF were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The main active compounds of HSBDF were docked with SARS-CoV-2 and angiotensin converting enzyme II (ACE2). RESULTS: Compound-target network mainly contained 178 compounds and 272 corresponding targets. Key targets contained MAPK3, MAPK8, TP53, CASP3, IL6, TNF, MAPK1, CCL2, PTGS2, etc. There were 522 GO items in GO enrichment analysis (p < .05) and 168 signaling pathways (p < .05) in KEGG, mainly including TNF signaling pathway, PI3K-Akt signaling pathway, NOD-like receptor signaling pathway, MAPK signaling pathway, and HIF-1 signaling pathway. The results of molecular docking showed that baicalein and quercetin were the top two compounds of HSBDF, which had high affinity with ACE2. CONCLUSION: Baicalein and quercetin in HSBDF may regulate multiple signaling pathways through ACE2, which might play a therapeutic role on COVID-19.

Longitudinal multi-functional analysis identified responses of T cells, B cells, and monocytes as hallmarks of immunotherapy tolerance in patients with merkel cell carcinoma.

PURPOSE: Merkel cell carcinoma (MCC) is a neuroendocrine carcinoma originating in the skin. Studies are needed to determine the mechanisms of immune escape in patients with MCC, and malignant cell conditions that promote immune evasion. METHODS: We used Single-cell RNA sequencing (scRNA-seq) to determine cellular features associated with MCC disease trajectory. A longitudinal multi-omics study was performed using scRNA-seq data of peripheral blood harvested from four-time points. Six major cell types and fifteen cell subgroups were identified and confirmed their presence by expression of characteristic markers. The expression patterns and specific changes of different cells at different time points were investigated. Subsequently, bulk RNA data was used to validate key findings. RESULTS: The dynamic characteristics of the cells were identified during the critical period between benign improvement and acquisition of resistance. Combined with the results of the validation cohort, the resistance program expressed in the relapse stage is mainly associated with T cell exhaustion and immune cell crosstalk disorder. Coinciding with immune escape, we also identified a decrease non-classical monocytes and an expansion of classical monocytes with features of high inflammation and immune deficiency. CONCLUSION: Changes in cellular status, such as depletion of T cells and dysregulation of B cell proliferation and differentiation, may lead to drug resistance in MCC patients. Meanwhile, the widespread decreased antigen presentation ability and immune disorders caused by deletion of MHC class II gene expression should not be ignored.

Mass Cytometry and Single-Cell Transcriptome Analyses Reveal the Immune Cell Characteristics of Ulcerative Colitis.

Background: The pathogenesis of ulcerative colitis (UC) is closely related to immunity. The immune characteristic differences between active UC (UCa) and inactive UC (UCin) have not been completely explained. Mass cytometry (CyTOF) and single-cell RNA sequencing (scRNA-seq) were used to analyze the immune cells of UCa, UCin and healthy control (HC) subjects to determine the specific immune characteristics. Methods: The immune cell subsets among UCa, UCin, HC were distinguished using CyTOF analysis. scRNA-seq analysis was used to validate the results of CyTOF. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to understand the roles of differential immune cell subsets. Results: After CyTOF analysis and validation of scRNA-seq analysis, differential immune cell subsets mainly contained TNF+IL-17A++ effector memory (EM) Tregs, CXCR3+CTLA4+ EM Tregs, CXCR3++CCR7+ B cells, HLA-DR+CCR7+ dendritic cells (DCs) and CTLA-4+ natural killer (NK) cells. In comparison to HC, CCR6+TNF+CD161+ EM T cells were highly enriched in UCa and UCin. Besides, UCa was characterized by an increase in CD38+TNF+ EM Tregs, CXCR3+CCR4+ naïve B cells, HLA-DR+CD14+IL21+ macrophages/monocytes, HLA-DR+CCR7+ DCs, AHR+CD14+ cytotoxic NK (cNK) cells and CD8A+IFNG+ cNK cells. Decreases in CD38+CD27+ plasmablasts, CXCR3+CD38+ regulatory NK cells, and CXCR3+CCR7+ tolerant NK cells in UCa were discovered. Conclusions: Novel immune cell subsets which was used to distinguish UCa, UCin and HC were identified. This information might be utilized to distinguish the patients with UCa and UCin.

Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn's disease.

Objectives: For Crohn's disease (CD), the alternation of the active phase and inactive phase may be related to humoral immunity and cellular immunity. This study aims to understand the characteristics of immune cells in patients with active CD (CDa) and inactive CD (CDin). Methods: Mass cytometry (CyTOF) and single-cell RNA sequencing (scRNA-seq) data about CDa, CDin, and healthy control (HC) were included. CyTOF analysis was performed to capture gated subsets, including T cells, T regulatory (Treg) cells, B cells, innate immune cells, and natural killer (NK) cells. Differential analysis was used to identify different immune cell subsets among CDa, CDin, and HC. ScRNA-seq analysis was used to verify the results of CyTOF. CD-related signaling pathways were obtained using KEGG pathway enrichment analysis. CellChat analysis was used to infer the cell communication network among immune cell subsets. Results: Compared to patients with CDin, patients with CDa had higher abundances of CD16+CD38+CD4+CXCR3+CCR6+ naive T cells, HLA-DR+CD38+IFNγ+TNF+ effector memory (EM) T cells, HLA-DR+IFNγ+ naive B cells, and CD14++CD11C+IFNγ+IL1B+ monocytes. KEGG analysis showed the similarity of pathway enrichment for the earlier four subsets, such as thermogenesis, oxidative phosphorylation, and metabolic pathways. The patients with CDin were characterized by an increased number of CD16+CD56dimCD44+HLA-DR+IL22+ NK cells. Compared to HC, patients with CDa demonstrated a low abundance of HLA-DR+CCR6+ NK cells and a high abundance of FOXP3+CD44+ EM Tregs. CellChat analysis revealed the interaction network of cell subsets amplifying in CDa compared with CDin. Conclusion: Some immune subsets cells were identified for CDa and CDin. These cells may be related to the occurrence and development of CD and may provide assistance in disease diagnosis and treatment.

Assessment of the targeted effect of Sijunzi decoction on the colorectal cancer microenvironment via the ESTIMATE algorithm.

OBJECTIVE: Sijunzi decoction (SJZD) was used to treat patients with colorectal cancer (CRC) as an adjuvant method. The aim of the study was to investigate the therapeutic targets and pathways of SJZD towards the tumor microenvironment of CRC via network pharmacology and the ESTIMATE algorithm. METHODS: The ESTIMATE algorithm was used to calculate immune and stromal scores to predict the level of infiltrating immune and stromal cells. The active targets of SJZD were searched in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and UniProt database. The core targets were obtained by matching the differentially expressed genes in CRC tissues and the targets of SJZD. Then, GO, KEGG and validation in TCGA were carried out. RESULTS: According to the ESTIMATE algorithm and survival analysis, the median survival time of the low stromal score group was significantly higher than that of the high stromal score group (P = 0.018), while the patients showed no significant difference of OS between different immune groups (P = 0.19). A total of 929 genes were upregulated and 115 genes were downregulated between the stromal score groups (|logFC| > 2, adjusted P < 0.05); 357 genes were upregulated and 472 genes were downregulated between the immune score groups. The component-target network included 139 active components and 52 related targets. The core targets were HSPB1, SPP1, IGFBP3, and TGFB1, which were significantly associated with poor prognosis in TCGA validation. GO terms included the response to hypoxia, the extracellular space, protein binding and the TNF signaling pathway. Immunoreaction was the main enriched pathway identified by KEGG analysis. CONCLUSION: The core genes (HSPB1, SPP1, IGFBP3 and TGFB1) affected CRC development and prognosis by regulating hypoxia, protein binding and epithelial-mesenchymal transition in the extracellular matrix.

Electroacupuncture ameliorates beta-amyloid pathology and cognitive impairment in Alzheimer disease via a novel mechanism involving activation of TFEB (transcription factor EB).

Alzheimer disease (AD) is the most prevalent neurodegenerative disorder leading to dementia in the elderly. Unfortunately, no cure for AD is available to date. Increasing evidence has proved the roles of misfolded protein aggregation due to impairment of the macroautophagy/autophagy-lysosomal pathway (ALP) in the pathogenesis of AD, and thus making TFEB (transcription factor EB), which orchestrates ALP, as a promising target for treating AD. As a complementary therapy, acupuncture or electroacupuncture (EA) has been commonly used for treating human diseases. Although the beneficial effects of acupuncture for AD have been primarily studied both pre-clinically and clinically, the real efficacy of acupuncture on AD remains inconclusive and the underlying mechanisms are largely unexplored. In this study, we demonstrated the cognitive-enhancing effect of three-needle EA (TNEA) in an animal model of AD with beta-amyloid (Aß) pathology (5xFAD). TNEA reduced APP (amyloid beta (A4) precursor protein), C-terminal fragments (CTFs) of APP and Aß load, and inhibited glial cell activation in the prefrontal cortex and hippocampus of 5xFAD. Mechanistically, TNEA activated TFEB via inhibiting the AKT-MAPK1-MTORC1 pathway, thus promoting ALP in the brains. Therefore, TNEA represents a promising acupuncture therapy for AD, via a novel mechanism involving TFEB activation.Abbreviations Aß: ß-amyloid; AD: Alzheimer disease; AIF1/IBA1: allograft inflammatory factor 1; AKT1: thymoma viral proto-oncogene 1; ALP: autophagy-lysosomal pathway; APP: amyloid beta (A4) precursor protein; BACE1: beta-site APP cleaving enzyme 1; CQ: chloroquine; CTFs: C-terminal fragments; CTSD: cathepsin D; EA: electroacupuncture; FC: fear conditioning; GFAP: glial fibrillary acidic protein; HI: hippocampus; LAMP1: lysosomal-associated membrane protein 1; MAP1LC3B/LC3B: microtubule-associated protein 1 light chain 3 beta; MAPK1/ERK2: mitogen-activated protein kinase 1; MAPT: microtubule-associated protein tau; MTORC1: mechanistic target of rapamycin kinase complex 1; MWM: Morris water maze; NFT: neurofibrillary tangles; PFC: prefrontal cortex; PSEN1: presenilin 1; SQSTM1/p62: sequestosome 1; TFEB: transcription factor EB; TNEA: three-needle electroacupuncture.

Jin's three-needle acupuncture technique for chronic fatigue syndrome: a study protocol for a multicentre, randomized, controlled trial.

BACKGROUND: With an unclear pathomechanism, no confirmed treatment regimen has been established for chronic fatigue syndrome (CFS). Acupuncture is applied as an alternative therapy for CFS. As a kind of acupuncture therapy, Jin's three-needle acupuncture (JTN) has been applied to treat CFS. However, few large-sample randomised controlled trials on JTN treatment for CFS have been reported. We designed this study to evaluate the efficacy and safety of JTN treatment for CFS. METHOD/DESIGN: This study is a multicentre, single-blind, randomised controlled trial. Patients who meet the inclusion criteria will be recruited and randomly assigned to either the JTN treatment group or the basic acupuncture group. Both interventions will be conducted for five consecutive days per week and last for 2 weeks. The primary outcome is the effective rate based on the 14-item Fatigue Scale (FS-14) score. Other outcome measures include the Fatigue Assessment Scale (FAI), the Depression Status Inventory (DSI), and the Self-rating Anxiety Scale (SAS). Plasma adrenocorticotropic hormone (ACTH), plasma cortisol, and serum levels of IL-2 and IFN-γ will also be measured in this study. Adverse events will be observed and recorded for the safety evaluation. DISCUSSION: This study may help to identify the efficacy and safety of JTN acupuncture treatment for CFS. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ID: ChiCTR-IOR-17011009 . Registered on 29 March 2017.