Objective To improve the analysis method of the blood components of Yinchenhao decoction （YCHD） in vivo and explore its anti-hepatocellular carcinoma mechanism. Methods Ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF/MS） was used to collect and analyze blood samples from mice. The mice were given a single dose of YCHD with a concentration of 0.1 g/ml and a dose of 25 ml/kg, and then the samples were collected 2 h post–administration, which was to systematically study the chemical components of YCHD in vivo. Network pharmacological methods were used to screen the components and targets of YCHD, and the targets of hepatocellular carcinoma; The common targets of YCHD and hepatocellular carcinoma were identified for GO enrichment and KEGG enrichment. Molecular docking was performed on the main targets to verify the binding ability between the active ingredients and the core targets. The relative mRNA expression levels of serine/threonine-protein kinase（AKT1） and tumor protein p53（TP53） in liver tissues were analyzed via qPCR, including the following mouse groups: mice with concanavalin A（Con-A）-induced acute liver injury without preventive administration, mice with Con-A-induced acute liver injury that received 14 d preventive oral administration of YCHD, and untreated control mice. Results ①The active ingredients of YCHD in the blood were identified by retrieving the data from the in vitro component analysis. They were chrysophanol, herniarin, aloe-emodin, and monotropein. ②The mechanism of action of the blood components against hepatocellular carcinoma （HCC） was further analyzed using network pharmacological methods, and a total of 30 components of YCHD were screened for 213 targets and 215 HCC targets. ③There were 17 intersection targets between YCHD and hepatocellular carcinoma, including AKT1, TP53, receptor tyrosine-protein kinase erbB-2 （ERBB2）, myelocytomatosis oncogene （MYC）, interleukin-1β （IL-1β）, etc. The GO enrichment results indicated that these components were primarily involved in DNA replication，chromosome segregation，leukocyte mediated immunity，leukocyte cell-cell adhesion. The KEGG enrichment results demonstrated that these components were predominantly associated with diverse cancer pathways. Additionally, the results indicated involvement in the citrate cycle （TCA cycle）, pyruvate metabolism, and p53 signaling pathway, ect. ④The results of molecular docking showed that chrysophanol, herniarin, and aloe - emodin had strong binding abilities with AKT1, TP53, ERBB2, MYC, and IL-1β. ⑤The relative expression of AKT1 and TP53 mRNA was significantly higher in the modelling group than in the control group. The relative expression of AKT1 and TP53 mRNA was significantly lower in the drug administration group than in the modelling group. Conclusion There were 4 blood components in YCHD, among which chrysophanol, herniarin, and aloe-emodin may act on AKT1, TP53, ERBB2, MYC, IL-1β and then participated in the regulation of cancer signaling pathways and p53 signaling pathway to play a role in the treatment of HCC.

ObjectiveHistorically documented Zhejiang Atractylodis Macrocephalae Rhizoma（Baizhu） possesses premium characteristics such as phoenix-like head and crane-like neck， pronounced sweetness， and fragrant aroma. However， its current market circulation is low， and the processed products with Zhejiang-style characteristics are at the risk of being lost. This study aims to preserve the ancient Zhejiang-style processing techniques and evaluate them using modern scientific methods. MethodsMultidimensional intelligent sensory evaluation was used to digitally characterize the "quality-structure" of the external appearance of nine-steamed and nine-processed Baizhu medicinal materials（intermediate processed products） and the "odor-taste" of the internal quality of its decoction pieces（slices）， and the appearance parameters were digitally characterized by colorimeter， texture analyzer， electronic nose and electronic tongue， the chemical composition was analyzed via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. Then， cluster analysis on the differences in odor between the medicinal materials（intermediate processed products） and decoction pieces（slices） of nine-steamed and nine-processed Baizhu was conducted， as well as the differences in taste between water-soluble and alcohol-soluble extracts of the decoction pieces（slices）， and the correlation analysis of chroma value-alcohol-soluble extract content-component response value. ResultsThe nine-steamed and nine-processed Baizhu had a dark brown to black epidermis， a brownish-yellow to brownish-gray cross-section， a slightly tough texture， a faint odor， and a slightly sweet， bitter and pungent taste. Texture analyzer measurements revealed minimal adhesion and maximum recovery in the middle section of the characteristic processed Baizhu， consistent with the processing endpoint of thorough steaming and cooking. The head section showed the highest internal hardness， elasticity and chewiness， indicating a denser texture in this area. The electronic nose sensor could clearly distinguish the difference between the medicinal materials and its decoction pieces， with a more significant clustering effect at 60 ℃ for 30 minutes compared to ambient temperature headspace for 2 hours， highlighting the significant impact of the baking degree before slicing on the quality. The electronic tongue taste signal map clearly distinguished the differences between water-soluble and alcohol-soluble extracts of nine-steamed and nine-processed Baizhu decoction pieces， and the addition of auxiliary materials during processing could enhance its alcohol-soluble extract content. A total of 82 chemical components were identified in the characteristic processed Baizhu. After processing， the contents of 58 components increased， while 24 components decreased. Correlation analysis revealed significant negative correlations（P<0.01） between ethanol-soluble extract content and colorimetric values of brightness（L^*）， yellow-bule value（b^*）， and total color difference（E^*_ab）. E^*_ab showed marked negative correlations（P<0.05） with the response values of isochlorogenic acid A and C. ConclusionThis study establishes a modern intelligent sensory evaluation model for multidimensional holographic characterization of nine-steamed and nine-processed Baizhu， clarifying the correlation between increased isochlorogenic acid content and the visual color appearance after different steaming cycles， as well as its intrinsic alcohol-soluble extracts. This provides a reference for quality evaluation and processing standards of the Zhejiang-style characteristic processed products.

ObjectiveTo investigate the role of DEAD-box helicase 3 X-linked （DDX3X） in immune-mediated liver injury （ILI）， and to clarify its mechanism by regulating endoplasmic reticulum stress （ERS）-dependent apoptotic pathway and its association with the clinical progression of hepatitis B. MethodsMice were given injection of concanavalin A （ConA） via the caudal vein to establish a model of ILI， PBS （control group） and different concentrations of ConA were injected into the tail vein of hepatocyte-specific DDX3X-knockout mice （DDX3X^ΔHep and DDX3X-flox mice （DDX3X^fl/fl）， respectively.. The log-rank survival analysis， measurement of the serum levels of aspartate aminotransferase （AST） and alanine aminotransferase （ALT）， and HE staining of liver tissue were performed to assess liver injury， and qRT-PCR and Western Blot were used to measure the mRNA and protein expression levels of glucose-regulated protein 78 （GRP78）， CCAAT/enhancer-binding protein homologous protein （CHOP）， and DDX3X in liver tissue. Intraperitoneal injection of 4-phenylbutyric acid （4-PBA， 100 mg/kg） was performed to inhibit ERS. Serum samples （n=30） and liver tissue samples （n=6） were collected from healthy controls， chronic hepatitis B （CHB） patients， and hepatitis B virus-associated liver failure （HBV-LF） patients； ELISA was used to measure the serum level of DDX3X， and qRT-PCR/Western Blot was used to analyze the expression of targets in liver tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the control group of mice， the expression of DDX3X in the liver of mice induced by ConA was significantly increased after liver injury （P<0.05）， and hepatocyte-specific DDX3X knockout increased the 72-hour survival rate of mice by 55% （compared with 20% in the DDX3X^fl/fl group）， with significant reductions in the serum levels of ALT and AST （P<0.000 1） and the expression levels of the ERS markers GRP78 and CHOP （P<0.05）. After ERS was inhibited by 4-PBA， there was alleviation of liver injury （with reductions in ALT and AST， P <0.001） and a reduction in DDX3X expression （P<0.01）. The analysis of clinical samples showed that the mRNA and protein expression levels of liver DDX3X in CHB patients and HBV-LF patients were significantly higher than those in healthy controls （all P<0.01）， and there was a significant increase in the serum level of DDX3X in HBV-LF patients （P<0.000 1）. ConclusionDDX3X exacerbates ILI by regulating the ERS-dependent apoptotic pathway （GRP78/CHOP）， and its expression is associated with the progression of hepatitis B. Therefore， it can be used as a potential therapeutic target.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objective:To analyze the clinical characteristics of 14 patients with severe autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A).Methods:A retrospective analysis was conducted on the clinical data of 14 patients diagnosed with severe GFAP-A in Xuanwu Hospital, Capital Medical University, between July 2023 and September 2024.Results:(1) Fourteen patients were included in the study, including 11 males and 3 females, aged 15-66 years (average: 39±13 years). The time from disease onset to consciousness impairment was 4-15 days, with an average of 10±3 days. (2) The primary initial main symptoms were fever, headache, limb weakness, and abnormal mental behavior. As the condition worsened, all patients developed consciousness disorders, and 11 experienced respiratory failure requiring tracheal intubation. (3) Intracranial lesions often involved both cerebral hemispheres, the thalamus, basal ganglia, and the brainstem. Spinal cord lesions involved the cervical and thoracic regions. (4) Most patients had elevated intracranial pressure. In the cerebral spinal fluid (CSF), all patients exhibited elevated protein levels and a high white blood cell count, predominantly monocytes, along with reduced glucose levels. (5) Treatment encompassed combinations of immunotherapies, including hormones, human immunoglobulin, plasma exchange, or immunoadsorption.Conclusions:The clinical manifestations of critically ill GFAP-A patients are heterogeneous. Disease progression is rapid, and the symptoms are increasingly severe, making early diagnosis difficult. Head and spinal cord MRI, CSF analysis, and GFAP-IgG testing are essential for diagnosis. After immunotherapy, most patients have a good prognosis.

Objective:To investigate the relationship between the changes in extracellular vesicles (EVs) size distribution before and after cardiopulmonary bypass (CPB) cardiac surgery and postoperative coagulation function.Methods:A total of 103 patients undergoing cardiac surgery with CPB were enrolled. Venous blood samples were collected at preoperation, postoperative 12 h and 3 days. Additionally, 50 age- and gender-matched healthy volunteers served as a control group. EVs were isolated using gradient centrifugation, and their size distribution was assessed by dynamic light scattering (DLS). The relationship between EV size characteristics, including peak diameter, peak height, and interquartile range( IQR), and postoperative coagulation function was analyzed. Results:Compared to patients with normal postoperative coagulation function, those with postoperative coagulation dysfunction had lower size at peak and IQR, and significantly higher peak intensity. Logistic regression analysis indicated that elevated peak intensity and lower size at peak and IQR were risk factors for coagulation dysfunction. The area under the curve ( AUC) for diagnosing coagulation dysfunction with 12 h postoperative EVs peak intensity was 0.76, with a positive predictive value of 85% at the optimal cutoff of 8.2; the AUC for IQR was 0.84, with a sensitivity of 83%, specificity of 82%, and negative predictive value of 86% at the optimal cutoff of 125.05 nm. Conclusion:The size distribution of circulating EVs show a correlation with coagulation function after cardiac surgery with CPB and may serve as a novel biomarker to predict postoperative coagulation dysfunction.

Objective:To explore the construction requirements and solutions for a digital full-process management platform for Investigator-Initiated Trials (IIT) in pediatrics in China.Methods:By reviewing literature, the current status and highlights of pediatric IIT digital management systems in Europe and the United States were analyzed. The challenges faced in building a digital full-process management platform for pediatric IIT in China were summarized. The exploration and implementation achievements of our hospital in platform construction were introduced, and future construction priorities were proposed based on practical considerations.Results:The construction and application of digital full-process management platforms for pediatric IIT in Europe and the United States were relatively mature, providing comprehensive digital support for pediatric IIT research, ranging from project management to research design implementation, multi-center data interoperability, and personnel training. In China, the pediatric IIT digital management platform was still under construction, with main challenges including the formulation of construction plans based on hospital-specific conditions, data standardization, and remote recruitment and follow-up platforms.Conclusions:Considering the current status of pediatric IIT digital full-process management systems both domestically and internationally, efforts should be made to further strengthen data standardization, remote subject management, and digital pediatric IIT training from both policy and technical perspectives. This will provide one-stop services and management for projects and researchers, promoting the development of pediatric medical research.

Objective:To explore the screening value of platelet parameters from blood cell analysis for MYH9-related disorders(MYH9-RD).Methods:A cross-sectional study was conducted with 38 patients diagnosed with MYH9-RD at Shenzhen Children's Hospital from May 1, 2016, to August 31, 2024, including 24 males and 14 females; the median age was 11.5 (3.8, 35) years; categorized by gene mutation location into "head region" ( n=8 ) and "tail region" ( n=30); and by clinical manifestations into " isolated hematological manifestations" ( n=16) and "hematological manifestations with extra-hematological involvement"( n=22). The control groups included 39 cases of immune thrombocytopenia (ITP), 38 cases of acute lymphoblastic leukemia (ALL), and 40 healthy individuals. Platelet-related parameters were detected by hematology analyzer, and platelet counts and sizes were confirmed by manually counting and microscopic observation. Kruskal-Wallis test was used to compare platelet parameters between MYH9-RD and control groups. Receiver operating characteristic (ROC) curves were used to assess the diagnostic efficacy of platelet parameters for MYH9-RD. Results:In MYH9-RD patients the median value of mean platelet volume (MPV) was 13.4 (11.2, 14.7) fl, immature platelet fraction (IPF) was 52.7% (43.5%, 58.0%), platelet large cell ratio(PLCR) was 57.6 %(45.0%, 62.9%), and microscopic large platelet ratio (PLCR-M) was 30.0% (25.0%, 30.0%).And those values weresignificantly higher than in ITP, ALL, and healthy controls (all P<0.05). Patients with MYH9 gene "head region" mutations had a lower platelet count [24.5 (15.0, 47.5)×10 9/L]than those with "tail region" mutations [69.0 (49.5, 86.3) ×10 9/L]( Z=-3.493, P<0.001), but a higher IPF ( t=2.024, P=0.044).Patients with "extra-hematological involvement had a lower platelet count than those with "isolated hematological manifestations" ( t=-2.015, P=0.043). The optimal cutoff value for diagnosing MYH9-RD with IPF was 26.7%, with a sensitivity of 100% and specificity of 98.7%; the area under the curve was 0.999 (95% CI 0.995-1.000), which was superior toMPV, PLCR and PLCR-M parameters. Conclusion:IPF is superior to other platelet parameters sush as MPV,showing high diagnostic efficacy in distinguishing MYH9-RD from ITP and ALL. It can be used as a simple and effective indicator for early screening of MYH9-RD.

Objective:Explore the clinical utility of TRBC1/TRBC2 dual staining by flow cytometry in determining clonality in T-cell lymphomas.Methods:This is a retrospective case-control study. A total of 40 patients with T-cell lymphoma involving bone marrow from the First Affiliated Hospital of Zhengzhou University were enrolled between December 10, 2024 and March 5, 2025. This cohort included 30 cases of mature T-cell lymphoma, 16 males and 14 females, age 62 (54, 71)years, and 10 cases of T-lymphoblastic leukemia/lymphoma[age 11(7, 33)years ]. Additionally, 30 control subjects without T-cell lymphoproliferative disorders were included (17 males and 13 females[age 55(47, 67)years]. Multiparameter flow cytometry (FCM) was performed to analyze TRBC1 and TRBC2 expression patterns in different αβ-T cell subsets within bone marrow samples. Neoplastic T lymphocytes were identified and gated based on immunophenotypic markers (CD3, CD2, CD5, CD7, etc.), followed by characterization of their TRBC1 and TRBC2 expression profiles. Statistical comparisons among multiple groups were conducted using the Kruskal-Wallis test, while the Wilcoxon rank-sum test was employed for pairwise comparisons.Results:In the mature T-cell lymphoma group, 66.7% (21/30) of cases demonstrated monotypic expression of either TRBC1 or TRBC2. Despite the rest 33.3% (9/30) of cases with surface CD3 negativity showed complete loss of both surface and intracellular TRBC1 and TRBC2 (dual-negative), TCR gene rearrangement positivity confirmed their biologically monoclonal proliferation. In contrast, control group αβ-T cells and their subsets exhibited polytypic TRBC1 and TRBC2 expression. Compared to control αβ-T cells, mature T-cell lymphomas showed statistically significant differences in TRBC1 ( U=270.00, P<0.05) and TRBC2 ( U=300.00, P<0.05) distribution. Within control group T-cell subsets, using a threshold of>85% TRBC1-or TRBC2-positive cells, T-cell clones of uncertain significance (T-CUS) were detected in 23% (7/30) of controls, in which 12 clonal proliferations were totally found. These T-CUS clones were significantly associated with CD57+T cells, suggesting a possible link to immunosenescence or chronic antigen stimulation. Among T-ALL/LBL patients, 2 cases showed intracellular TRBC monotypic expression, while 8 cases exhibited dual-negative intracellular TRBC expression, which aids in differentiating T-ALL/LBL from normal thymocytes (which usually display polytypic TRBC expression). Conclusion:Multiparameter flow cytometry (FCM) combined with TRBC1/TRBC2 dual staining can effectively distinguish neoplastic T cells from normal T lymphocyte populations. This approach serves as a crucial determinant for assessing T-cell clonality and can definitively identify TRBC subtypes (TRBC1 or TRBC2).