Objective To elucidate the changes in the gut microbiota and molecular mechanism of huaier in enhancing the efficacy of oxaliplatin (OXA) chemotherapy in gastric cancer (GC). Methods The effects of huaier on the gut microbiota structure and intestinal barrier function in MKN45-bearing mice were analyzed by using 16S rRNA sequencing, RT-qPCR, and IHC. UPLC-MS and network pharmacology, as well as in vivo experimental approaches, were employed to investigate the key bioactive constituents of huaier systematically and elucidate the underlying mechanisms by which huaier exerts therapeutic effects against GC. The expression of the PI3K/AKT/SREBP pathway was detected in cancer cells and tissues via Western blot analysis. The safety profile of huaier combined with OXA was verified through serum biochemistry and HE-stained tissue section analyses. Results Huaier inhibited the PI3K/AKT/SREBP pathway by increasing the abundance of Akkermansia muciniphila, reduced lipid droplet deposition, and ultimately enhanced the sensitivity to OXA in the treatment of GC. Conclusion This study demonstrates the value of huaier in gastric cancer treatment by enhancing chemosensitivity and provides novel insights into its systemic therapeutic effects through molecular mechanisms and gut microbiota modulation.

Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans

Risks of food safety induced by small molecule drug residues in animal food and environment have become an increasing public concern,so it is necessary to develop highly sensitive and easy-to-operate techniques to detect small molecules.Herein,a metasurface plasma resonance(MetaSPR)sensor chip coupled with gold nanoparticles(AuNPs)was developed for detection of enrofloxacin(ENR)based on competitive immunoassay.The detection range of the sensor for ENR was 0.025-3.2 ng/mL,and the detection limit(3σ)was 20 pg/mL.The biosensor showed excellent performance including high selectivity,good stability,ease to operate and high throughput,etc.The developed method was applied to detection of ENR residues in real samples,with recoveies of 96.0% -105.0%.The proposed sensing strategy provided new technique reference for detection of other small molecules in the field of residue analysis in food safety and environment monitoring.

Chest low-dose computed tomography (LDCT) is a widely utilized modality for lung cancer screening and follow-up in high-risk populations, owing to its low radiation dose. However, the diagnostic accuracy of LDCT is significantly constrained by inherent limitations, including elevated image noise and reduced contrast resolution. The potential for deep learning technologies to address these challenges through data-driven LDCT image denoising approaches has been demonstrated. In this review, the advantages and limitations of deep learning models were introduced, including supervised, unsupervised, and self-supervised learning. The potential and challenges of these models in clinical applications were analyzed, thereby providing a reference for subsequent research and clinical practice.

Exposure to acceleration can have Various effects on the physiology,psychology,and performance of human.With the increasing density and complexity of China's space mission,and the significant differences between deep space exploration and near Earth orbit flight,unprecedented challenges have been posed to the emotions of astronauts and the ability of human-machine collaboration to complete complex operational tasks in special environments.Similarly,with the continuous development of high-performance fighter jets,air combat operation are becoming increasingly complex,and the payload generated by the aircraft is also increasing.The requirements for the anti-overload ability of fighter pilots are also becoming higher and higher.A review of recent studies on physiological and cognitive load of acceleration exposure on humans.The research on human physiology is relatively systematic,but there is limited research on cognitive load.The corresponding evaluation methods,assessment methods,and assessment systems are not comprehensive enough,and there is a lack of mechanistic analysis.Multimodal analysis and modeling are even rarer.Further in-depth research is needed on the cognitive load and evaluation techniques of overweight environment in the future.This article provides reference for the selection,adaptive training,and related experimental research of overweight endurance for astronauts and pilots in the future.

The present study employed UPLC-MS/MS to analyze and identify compounds in the raw powder of Tongluo Shenggu capsules. An HPLC method for the determination of vitexin content was established. The analysis of this drug was performed on a 30 ℃ thermostatic Acquity UPLC® BEH C18 (2.1 mm×100 mm,1.7 μm) column, with the mobile phase comprising 0.2% formic acid-methanol flowing at 0.3 mL /min in a gradient elution manner. Mass spectrometry was detected by ESI sources in both positive and negative ion modes for qualitative identification of chemical constituents. 12 flavonoid and 3 stilbenes compounds in the raw powder of Tongluo Shenggu capsules were successfully identified. Additionally, an HPLC method for the determination of vitexin content was established using a XBridge C18 column (4.6 mm × 250 mm, 5 µm) with a mobile phase of 0.05% glacial acetic acid in methanol for gradient elution, at a column temperature of 30 °C, a flow rate of 1.0 mL/min, and an injection volume of 20 μL. The method demonstrated good linearity in the concentration range of 10 µg/mL to 40 µg/mL (R=1.000) with an average recovery rate of 96.7%. The establishment of these methods provides a scientific basis for the quality control and development of the raw powder of Tongluo Shenggu capsules.

Objective:To research the mechanism of the regulation of homeobox B8(HOXB8)for lysine demethylase 6B(KDM6B)-mediated CCAAT/enhancer binding protein α(C/EBPα)axis on the metastasis of high-grade serous ovarian cancer(HGSOC),so as to provide references for the study of the pathogenesis of HGSOC patients.Methods:The tumor tissue samples and corresponding adjacent normal tissue samples of HGSOC patients admitted to Wuhan Hospital of Traditional Chinese and Western Medicine from June to December 2024 were selected,and cell lines SKOV3 and A2780 of ovarian cancer were collected.Real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)was adopted to detect the mRNA levels of KDM6B in HGSOC tumor tissues and its corresponding adjacent tissues.Western blot assay and immunohistochemistry were adopted to detect the expressions of KDM6B protein in the tissue.The A2780 cells of ovarian cancer were divided into the oe-HOXB8 group that was transfected by the HOXB8 overexpression vector,and the oe-NCHOXB8 group with the negative control(NC)vector.The SKOV3 cells of ovarian cancer were divided into the si-HOXB8 group that was transfected by the HOXB8 small interference sequence,and the si-NCHOXB8 group with negative control sequence.The transfected KDM6B was divided into the si-KDM6B group with small interference sequence and the oe-KDM6B group transfected with overexpression vector.The co-transfection HOXB8 and(or)KDM6B,C/EBPα were divided into si-HOXB8+si-KDM6B group and si-HOXB8+si-C/EBPα group of small interference sequence.The chromatin immunoprecipitation-qPCR(ChIP-qPCR)and dual-luciferase reporter gene assay were used to verify the mechanism that HOXB8 transcript and regulate KDM6B in SKOV3 and A2780 cells of ovarian cancer.The effects of overexpression or silencing of HOXB8 in A2780 and SKOV3 cells on the proliferation,invasion,migration and KDM6B expression of ovarian cancer cells were detected.The effects of overexpression or silencing of KDM6B in SKOV3 cells on the trimethylation modification of lysine 27 at histone H3(H3K27me3)and the expression of C/EBPα were detected.The effects of silencing KDM6B and C/EBPα on HOXB8-induced cell proliferation,invasion and migration were analyzed through functional rescue experiments.Results:In tumor tissues,the mRNA and protein expression levels of KDM6B were 1.02±0.03 and 1.02±0.04,respectively,which were significantly higher than those in the adjacent tissues,and the differences were statistically significant(t=62.440,38.737,P<0.01).The optical density value of proliferation,invasion rate and migration rate of A2780 cells in the oe-HOXB8 group that was transfected by the HOXB8 overexpression vector were respectively(1.74±0.15),(89.71±6.60)%and(85.33%±7.02)%,which were significantly higher than those in the oe-NCHOXB8 group,and the differences were statistically significant(t=7.778,7.353,4.759,P<0.01).The optical density value of proliferation,invasion rate and migration rate of SKOV3 cells in the si-HOXB8 group were respectively(0.54±0.06),(47.23±3.41)%and(43.20±3.12)%,all of which were significantly lower than those in the si-NCHOXB8 group,and the differences were statistically significant(t=9.400,8.615,9.040,P<0.01).The optical density value of proliferation,invasion rate and migration rate of SKOV3 cells in the si-HOXB8+si-KDM6B group were(1.04±0.09),(73.11±4.98)%and(68.65±4.45)%,respectively,which were significantly higher than those in the si-HOXB8 group,and the differences were all statistically significant(t=6.875,6.852,7.562,P<0.01).The optical density value of proliferation,invasion rate and migration rate of SKOV3 cells in the si-HOXB8+si-C/EBPα group were respectively(0.97±0.07),(75.87±5.12)%and(70.59±4.81)%,all of which were significantly higher than those in the si-HOXB8 group,and the differences were all statistically significant(t=6.355,7.500,7.884,P<0.01).Conclusion:HOXB8 can inhibit the C/EBPα expression and promote the HGSOC metastasis by regulating and controlling H3K27me3 modification of KDM6B-mediated C/EBPα histone.

Objective:To characterize the etiological and genetic features of pediatric influenza outbreaks in Changzhou between 2021 and 2024，with the goal of informing evidence-based prevention strategies and guiding effective management of influenza outbreaks in school settings.Methods:During the period of 2021 to 2024，throat swabs of influenza-like cases from school outbreaks in Changzhou were collected. These samples underwent real-time reverse transcription-polymerase chain reaction（RT-PCR）testing and virus isolation. Epidemiological data were integrated to conduct pathogenetic analysis. The HA genes of isolated strains were amplified and sequenced to perform genetic characterization.Results:Between 2021 and 2024，a total of 256 influenza outbreaks were reported in schools in Changzhou. A total of 3 201 specimens were collected，of which 2 245 were tested positive for influenza viruses，resulting in a positivity rate of 70.13%. The outbreak season was primarily concentrated from December to February each year，with settings predominantly distributed in primary schools（accounting for 73.83%）. The predominant epidemic strains were influenza A viruses，including 118 outbreaks caused by H1N1 and 104 by H3N2. A total of 74 influenza virus strains were successfully isolated from positive specimens，and sequencing of the hemagglutinin（HA）gene was completed. Phylogenetic analysis revealed that certain B/Victoria lineage strains（e.g.，B/Changzhou/01/2021）clustered closely with the vaccine strain B/Austria/3594/17（bootstrap support：99%）. Among influenza H1N1 strains，multiple isolates from 2023—2024 clustered within the same major branch as A/Victoria/4897/2022（bootstrap support：100%）. In contrast，the H3N2 strains exhibited a complex evolutionary pattern，showing variable genetic distances to vaccine strains from different years（e.g.，A/Massachusetts/18/2022，A/Darwin/6/2021）；some isolates were closely related to vaccine strains，while others were more distantly related and scattered across the phylogenetic tree.Conclusions:The influenza outbreak situation in schools was severe and has significant public health implications. Continuous surveillance is essential，and preventive strategies should be promptly adjusted based on the epidemiological and genetic characteristics of circulating strains.

Objective:To investigate the relationship between nerve growth factor (NGF) concentration in follicular fluid and abnormal menstrual cycle in infertile patients with polycystic ovary syndrome (PCOS).Methods:A retrospective cohort study was conducted on 100 infertile patients with PCOS who underwent in vitro fertilization and embryo transfer (IVF-ET) at Department of Obstetrics and Gynecology, Peking University Third Hospital from March 2017 to June 2019. For comparison, the 100 patients with PCOS were divided into low NGF group ( n=50) and high NGF group ( n=50) based on the median NGF concentration (1 644.03 ng/L) in follicular fluid. Baseline characteristics, menstrual status and clinical outcomes of assisted reproductive technology were compared. We performed multiple linear regression analysis to examine the effect of NGF in follicular fluid on menstrual cycle length for multivariate analysis. Results:1) PCOS patients in the low NGF group had significantly higher body mass index [(27.24±5.17) kg/m 2] and white blood cell count [7.31(5.99, 8.43)×10 9/L ] than those in the high NGF group [(25.03±4.46) kg/m 2, P=0.024; 5.95(5.08,7.01)×10 9/L, P=0.001], while high-density lipoprotein cholesterol [1.15 (0.98, 1.36) mmol/L] and basic follicle-stimulating hormone level [6.51 (5.10,7.95) U/L] in the low NGF group were significantly lower than those in the high NGF group [1.36 (1.09,1.52) mmol/L, P=0.039;6.51 (5.10,7.95)U/L, P=0.040]. 2) PCOS patients in the low NGF group had significantly higher menstrual cycle length [60.00 (35.00, 180.00) d] than the high NGF group [32.50 (27.00,67.50) d, P=0.001]. 3) Multiple linear regression analysis revealed that after adjustment for body mass index, age, infertility duration, infertility type, and glucose and lipid metabolic parameters, the NGF concentration in the follicular fluid independently and negatively correlated with menstrual cycle length ( P<0.05). 4) The NGF concentration in follicular fluid was not correlated with assisted reproductive outcomes. Conclusion:NGF concentration in follicular fluid is closely related to the degree of menstrual cycle abnormalities in patients with PCOS.