Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

OBJECTIVE To systematically evaluate the influencing factors affecting the poor prognosis of drug-induced liver injury （DILI） in the Chinese population， and to provide evidence-based support for early identification and interventions of DILI. METHODS Retrieved from PubMed， Medline， Embase， the Cochrane Library， CNKI， Wanfang database， China biomedical medicine database （CBM） and VIP， clinical studies （case-control studies， cohort studies） related to influencing factors for poor prognosis of DILI were collected from inception to May 31， 2025. After literature screening， data extraction and quality evaluation of included studies， meta-analysis was carried out by using RevMan 5.4 software. RESULTS A total of 17 literature were included， involving 4 078 DILI patients， of whom 673 were in the poor prognosis group and 3 405 were in the favorable prognosis group. Meta-analysis showed that history of liver disease （OR＝2.47， 95%CI was 1.61-3.78， P ＜0.001）， alcohol drinking history （OR＝1.77， 95%CI was 1.22-2.56， P ＝0.003）， Chinese herbal medicine/Chinese patent medicine （OR＝1.87， 95%CI was 1.30-2.70， P ＜0.001）， non-hepatocellular injury type （OR＝1.70， 95%CI was 1.37-2.10， P ＜0.001）， international normalized ratio （INR） elevated （OR＝2.51， 95%CI was 1.97-3.19， P ＜0.001）， and alanine transamine （ALT） elevated （OR＝1.27， 95%CI was 1.14-1.41， P ＜0.001） were risk factors of poor prognosis in DILI. Higher albumin （ALB） level （OR＝0.47， 95%CI was 0.39-0.57， P ＜0.001）， elevated prothrombin activity （PTA） （OR＝0.88， 95%CI was 0.85-0.91， P ＜0.001） and more than 2 kinds of hepatoprotective drugs （OR＝0.62， 95%CI was 0.41-0.95， P ＝0.030） were protective factors for poor prognosis of DILI. CONCLUSIONS Patients with alcohol drinking history， history of liver disease， elevated INR， elevated ALT， taking Chinese herbal medicine/Chinese patent medicine， and non-hepatocellular injury type of DILI have a greater risk of poor prognosis， and higher ALB level， higher PTA and more than 2 kinds of hepatoprotective drugs can reduce the risk of poor prognosis of DILI.

ObjectiveTo comprehensively identify the O-methyltransferase （OMT） genes in Carthamus tinctorius and explore the key OMTs that can catalyze the methylation of flavonoids， providing a basis for understanding the molecular formation mechanism of the structural diversity of flavonoids in C. tinctorius. MethodsThe hidden Markov model was used to systematically identify the type Ⅰ OMTs from the high-quality genome data of C. tinctorius. A suite of bioinformatics tools was employed to systematically analyze the physicochemical properties， gene structure， conserved motifs， chromosomal localization， gene replication events， and collinearity of the identified genes. The target gene was heterologously expressed through the prokaryotic expression system of E. coli， and the protein function was verified by in vitro enzymatic reactions. ResultsA total of 31 type Ⅰ OMTs were identified. CtFOMT1 was successfully cloned and expressed in a soluble form in Escherichia coli. The recombinant protein was purified via Ni²⁺ affinity chromatography to obtain a high-concentration preparation. In vitro enzymatic assays demonstrated that CtFOMT1 utilized S-adenosylmethionine as the methyl donor to catalyze the methylation of the 4′-OH of naringenin， resulting in the production of isosakuranetin. A similar process occurred with the 4′-OH of luteolin， leading to the formation of diosmetin. Subsequent methylation of the 3′-OH group of diosmetin generated 4′-methylchrysoeriol. ConclusionCtFOMT1 can catalyze the methylation of 4′-/3′-OH in the flavonoid skeleton. It is hypothesized that CtFOMT1 may play a role in the biosynthesis of various 4′-/3′-oxymethyl flavonoids in C. tinctorius.

Olfactory receptors (ORs) form the largest superfamily of G protein-coupled receptors (GPCRs). Traditionally recognized for their role in the nasal olfactory epithelium, where they mediate the sense of smell, accumulating evidence has firmly established their ectopic expression in non-olfactory tissues, including the intestine, lungs, and kidneys. The intestine, as the primary site for nutrient digestion and absorption, harbors a highly complex chemical environment. To adapt to this environment, the gut employs a sophisticated network of “chemosensors” to monitor luminal contents and maintain homeostasis. Among these sensors, intestinal ORs have emerged as crucial functional components, serving as a molecular bridge that connects environmental chemical signals—such as food-derived odorants—to specific physiological responses. This discovery has significantly deepened our understanding of how dietary flavors and compounds influence intestinal physiology at the molecular level. This review systematically summarizes the expression profiles, ligand classification, and biological functions of ORs within the gastrointestinal tract. Studies indicate that intestinal ORs exhibit distinct spatial distribution patterns across different gut segments and display cell-type specificity, particularly within enterocytes and enteroendocrine cells. These receptors function as versatile sensors capable of recognizing a wide variety of ligands, including exogenous dietary components, gut microbiota metabolites such as short-chain fatty acids, and endogenous small molecules like azelaic acid. Upon activation by specific ligands, intestinal ORs trigger intracellular signaling cascades, primarily involving the AC-cAMP-PKA pathway or calcium influx channels. A major focus of this review is to elucidate the molecular mechanisms by which these receptors regulate the secretion of gut hormones. Activation of specific ORs in enteroendocrine cells has been shown to stimulate the release of hormones such as glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and serotonin (5-HT), thereby modulating systemic energy metabolism, glucose homeostasis, and gastrointestinal motility. Furthermore, the review addresses the critical roles of ORs in immune regulation and pathology. Evidence suggests that specific ORs contribute to the maintenance of intestinal immune homeostasis and may offer protection against inflammation. Beyond their involvement in inflammatory responses, ORs such as Olfr78 have been shown to regulate the differentiation and function of intestinal endocrine cells. Similarly, Olfr544 has been demonstrated to alleviate intestinal inflammation by remodeling the gut microbiome and metabolome. These findings collectively suggest that specific ORs hold promise as therapeutic targets for mitigating intestinal inflammation and maintaining gut homeostasis. Additionally, the review explores the emerging role of ORs in cancer. Although OR expression is often downregulated in tumor tissues compared to normal mucosa, activation of specific ORs by certain ligands can inhibit tumor cell proliferation and migration and induce apoptosis via pathways such as MEK/ERK and p38 MAPK. Conversely, other receptors, such as OR7C1, may serve as biomarkers for cancer-initiating cells. In conclusion, intestinal ORs represent a vital component of the gut’s sensory network. The review also discusses the translational potential of these findings. By elucidating the precise pairing relationships between dietary components and specific ORs, novel therapeutic strategies could be developed. Intestinal ORs may thus emerge as promising targets for nutritional and pharmacological interventions in metabolic diseases, inflammatory bowel diseases, and malignancies.

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.

Objective:To characterize and compare the polysaccharide components of Panax japonicus with its common counterfeits (Dysosma versipellis, Lycopus lucidus and Dysosma pleiantha); To provide a scientific basis for the quality evaluation of polysaccharides of Panax japonicu.Methods:Crude polysaccharides were extracted using water and subsequently precipitated with ethanol. Three batches of total polysaccharides from Panax japonicus, Dysosma versipellis, Lycopus lucidus and Dysosma pleiantha were prepared using the savage deproteinization method. The molecular weight distribution, functional group characteristics and monosaccharide composition of each batch were analyzed using high performance gel filtration chromatography (HPGFC), fourier-transform infrared spectroscopy (FT-IR) and derivatization of 1-phenyl-3-methyl-5-pyrazolinone with high performance liquid chromatography (PMP-HPLC). Using DEAE column chromatography purification and specific enzymolysis, combined with high performance thin layer chromatography and carbohydrate gel electrophoresis, the saccharide profiles of polysaccharides of Panax japonicus and its counterfeits were analyzed and compared.Results:The molecular weight distribution of total polysaccharides from three batches of Panax japonicus exhibited high similarity, with a concentrated distribution ranging from 2.05×10 4 - 1.87×10 3 Da. However, the molecular weight distribution of total polysaccharides from Dysosma versipellis was scattered in regions 5.08×10 6-6.47×10 5 Da and 6.47×10 5-2.05×10 4 Da, while Lycopus lucidus and Dysosma pleiantha was scattered in regions 6.47×10 5-2.05×10 4 Da and 2.05×10 4-1.87×10 3 Da; the infrared spectra of all samples exhibited similarity, indicating that the sugar chains of each polysaccharide were predominantly linked by α-glycosidic bonds, with no significant differences was observed. In terms of monosaccharide composition, the polysaccharides from Panax japonicus, Dysosma versipellis and Dysosma pleiantha were mainly composed of glucose, galactose, arabinose, galacturonic acid, rhamnose and mannose. In contrast, the polysaccharides from Lycopus lucidus were distinct, primarily consisting of galactose and glucose; glycosidic linkage analysis revealed that the polysaccharides purified by DEAE column chromatography from Panax japonicus and its counterfeits were resistant to hydrolysis by β- galactosidase, but could be hydrolyzed by α-amylase and pectinase (except for Lycopus lucidus). The oligosaccharides produced by α-amylase hydrolysis of three batches of Panax japonicus polysaccharides were similar, showing clear differences from those of the counterfeits. The results of pectinase hydrolysis were correlated with the content of uronic acids. Conclusions:The total polysaccharides from Panax japonicus, Dysosma versipellis, Lycopus lucidus and Dysosma pleiantha exhibit significant differences in their molecular weight distributions. The monosaccharide composition of Lycopus lucidus polysaccharides is notably distinct, making it easily distinguishable from other species; purification using DEAE column chromatography, combined with HPTLC and polysaccharide analysis using carbohydrate gel electrophoresis (PACE), effectively differentiates the polysaccharides of Panax japonicus from its counterfeits. This approach provides a valuable reference for the quality analysis of polysaccharides in TCM. Additionally, it lays a foundation for the development and utilization of Panax japonicus polysaccharides.

Objective To investigate the effect of programmed death-1(PD-1)on cell infiltration in muscle tissue and immune response types in mice infected with Trichinella spiralis.Methods C57BL/6J wild-type(WT)and PD-1 deficient(PD-1-/-)mice were infected with T.spiralis(400 muscle larvae per mouse),and samples were collected on day 35 after infection.The proportions of infiltrating inflammatory cells and fibroblasts around encapsulated larvae were assessed by immunohistochemistry.The expression levels of interferon-γ(IFN-γ),interleukin(IL)-4,IL-5,IL-13,and eotaxin in muscle tissue were measured using enzyme-linked immunosorbent assay.Peripheral blood and spleen were collected at different time points after infection.The percentages of CD4+IFN-γ+Th1 and CD4+IL-4+Th2 within CD4+T cells population in peripheral blood and spleen of mice were analyzed using flow cytometry.Results The proportions of eosinophils and fibroblasts among total infiltrating cells around the encapsulated larvae in the muscle of PD-1-/-mice were significantly lower than those in WT mice after T.spiralis infection(P＜0.01).The infected PD-1-/-mice exhibited higher proportions of macrophages,T cells and B cells in total infiltrating cells than the infected WT mice(P＜0.01).The levels of IL-4,IL-5,IL-13,and eotaxin in the muscle tissue of infected PD-1-/-mice were significantly lower than those in infected WT mice(P＜0.05).However,IFN-γ levels were not significantly different between the infected WT and PD-1-/-mice.The proportions of Th2 cells in CD4+T cells from peripheral blood and spleen of infected PD-1-/-mice were significantly lower than those in infected WT mice,whereas the proportion of Th1 cells showed no difference among the infected groups.Conclusions PD-1 deletion results in decreased expression of key chemokines of eosinophils and key cytokines of fibroblast formation,and a corresponding decrease in inflammatory cells in muscle in T.spiralis-infected mice.This effect may be associated with a diminished Th2 immune response caused by PD-1 deletion.

Objective To analyze the impact of balloon post-dilation on cardiac conduction in patients undergoing transcatheter aortic valve replacement (TAVR). Methods From June 2021 to December 2022, patients with severe aortic valve stenosis or regurgitation who underwent TAVR surgery using domestically produced valves at Xijing Hospital, Air Force Military Medical University were selected. The occurrence of intraoperative and postoperative cardiac conduction block was recorded. According to whether balloon post-dilation was performed during the surgery, patients were divided into the post-dilation group and the non-post-dilation group. The baseline data, postoperative cardiac conduction block occurrence, and cardiac function of the two groups were analyzed. Results A total of 126 patients were included, including 52 males and 74 females, with an average age of (66.6±7.6) years. There were 30 patients in the post-dilation group and 96 patients in the non-post-dilation group. On the first day after TAVR, the average QRS intervals in the post-dilation group and the non-post-dilation group were (105.6±13.8) ms and (125.9±28.2) ms, respectively (P=0.017). At discharge, the average PR intervals in the two groups were (168.7±36.8) ms and (192.1±44.2) ms, respectively (P=0.024). At discharge, 9 (7.1%) patients developed new atrioventricular block, 5 (4.0%) patients developed new complete right bundle branch block, and 33 (26.2%) patients developed new complete left bundle branch block. During hospitalization, 2 (1.6%) patients received permanent cardiac pacemakers, both of whom were in the non-post-dilation group. There was no statistical difference in postoperative left ventricular structure and function between the two groups (P>0.05). Conclusion Postoperative expansion using domestically produced interventional valves for TAVR do not increase the incidence of early atrioventricular block and permanent cardiac pacemaker implantation after valve implantation, and there are no significant changes in cardiac structure and function in patients with conduction block in the short term after surgery.

AIM To evaluate the quality of Tibetan medicine"Sangdi"based on HPLC fingerprints combined with chemometrics.METHODS The analysis was performed on a 30 ℃ thermostatic Welch Ultimate AQ-C18 column(250 mm × 4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.2％phosphoric acid flowing at 1 mL/min in a gradient elution manner,and the detection wavelength was set at 245 nm,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were performed,the contents of gentiopicroside,sweroside,mangiferin,isoorientin,8-hydroxy-1,3,5-trimethoxyxanthone(R2)and 1,8-dihydroxy-3,7-dimethoxyxanthone(R3)were determined.RESULTS There were 18 common peaks in the fingerprints for 15 batches of samples with the similarities of more than 0.90.Six constituents showed good linear relationships within their own ranges(R 2 ≥ 0.999 2),whose average recoveries were 96.93％-103.58％with the RSDs of 0.82％-2.9％.Various batches of samples were clustered into 2 categories,4 principal components demonstrated the accumulative variance contribution rate of 86.404％,mangiferin,gentiopicroside and isoorientin were taken as quality difference markers.CONCLUSION This stable,reliable and reproducibe method can provide a reference for the comprehensive quality evaluation of"Sangdi".