ObjectiveTo investigate the mechanism by which Xiebai San regulates respiratory tract and intestinal mucosal immunity in rats with allergic asthma. MethodsForty male SD rats were randomly divided into four groups based on body weight: control group, model group, positive control group, and Xiebai San group. The model group, positive control group, and Xiebai San group were sensitized with ovalbumin to establish a rat model of allergic asthma. From day 21 (the aerosol challenge phase), each group received daily gavage interventions simultaneously: the positive control group was administered dexamethasone (0.068 mg/kg), the Xiebai San group received Xiebai San solution (2 g/mL, 11.3 mL/kg), while the control and model groups were given an equal volume of normal saline, once daily for 14 consecutive days. After euthanasia, lung and intestinal tissues were collected. Hematoxylin and eosin staining was used to observe histopathological changes. Transmission electron microscopy was employed to examine tissue ultrastructure. Immunohistochemistry was applied to detect the positive reaction areas of phosphatidyl-inositol 3-kinase (PI3K) and protein kinase B (Akt) proteins. Total protein and total RNA were extracted from lung and intestinal tissues, then the protein and mRNA expression levels of PI3K and Akt genes were detected by Western blotting and real-time quantitative PCR, respectively. ResultsHistopathological results showed alveolar emphysema accompanied by inflammatory cell infiltration, and intestinal mucosal injury with inflammatory cell infiltration in the model group as compared with the control group; the cellular structure of lung tissues was disrupted in the model group, with reduced organelles, while the ultrastructural lesions in the intestine were relatively mild. Compared with the model group, Xiebai San group exhibited milder pathological changes in lung tissues, with occasional alveolar wall damage and a small amount of inflammatory cell infiltration; the intestinal mucosal structure was improved, glands were arranged regularly, and pathological changes such as tissue loosening and inflammatory infiltration were alleviated; the cellular structure of lung tissues was relatively intact with reduced severity of lesions, and no ultrastructural pathological changes were observed in intestinal tissues. Immunohistochemistry and Western blotting results showed that compared with the control group, the specific positive reaction areas of PI3K and Akt in lung and intestinal tissues were significantly increased in the model group (all P<0.001); meanwhile, the protein expression levels of PI3K and Akt were significantly upregulated (all P<0.05). Compared with the model group, the positive area of Akt protein in lung tissue was significantly reduced in the Xiebai San group (P<0.001), and the positive area of PI3K in intestinal tissue was also significantly decreased (P<0.000 1). Additionally, the protein expression levels of PI3K and Akt in lung and intestinal tissues were significantly downregulated (all P<0.01). Real-time quantitative PCR results showed that compared with the control group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly elevated in the model group (all P<0.05). Compared with the model group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly reduced in the Xiebai San group (all P<0.05). ConclusionXiebai San exerts protective effects on rats with allergic asthma by inhibiting the expression of key nucleic acids and proteins in the PI3K-Akt signaling pathway in lung and intestinal tissues, improving the morphological structure of lung tissue, and maintaining intestinal mucosal integrity, and regulating intestinal mucosal immune function.

This paper systematically reviews the core concepts and lines of theoretical inheritance of major spleen-stomach theories in traditional Chinese medicine （TCM）， including spleen deficiency theory， spleen-stomach damp-heat theory， and liver-spleen disharmony theory. It is found that these theories have all undergone a developmental trajectory characterized by classical foundation， refinement of therapeutic methods， systematization of pathogenesis， and modern innovation. The evolution of spleen-stomach theory has achieved a shift from a singular focus on tonifying the spleen to regulating dynamic middle-jiao （焦） balance， and from localized spleen-stomach regulation to the circular movement of qi involving all five zang organs. In terms of modern disease-syndrome integrative research， spleen deficiency syndrome is shown to be closely associated with impairment of the gastrointestinal mucosal barrier， metabolic disorders， and gene polymorphisms related to Helicobacter pylori-associated gastric diseases. Spleen-stomach damp-heat syndrome is closely linked to hyperactive energy metabolism， inflammatory cytokines， and abnormal expression of aquaporins. Liver-spleen disharmony syndrome is mainly associated with dysregulation of the brain-gut axis and microbiota-related metabolic disorders. It is proposed that future research on spleen-stomach diseases and syndromes should further elucidate their potential multidimensional differential biological characteristics， thereby promoting the modernization of the TCM discipline of spleen-stomach studies.

ObjectiveTo investigate the current status and related factors of maternal influenza vaccination willingness among pregnant and postpartum women in Shanghai and Liaoning Province, China, and to explore the facilitators and barriers affecting vaccination uptake, so as to provide references for future practices in promoting maternal influenza immunization in China. MethodsA convergent mixed-methods research was conducted. From January to March 2024, a questionnaire survey was conducted among women attending prenatal and postnatal care at 7 medical institutions in Shanghai and Dalian, Liaoning Province, which aimed to assess pregnant women’s knowledge about influenza vaccine and their willingness to vaccination during pregnancy, as well as to identify the related factors. In addition, purposive sampling method was used to conduct in-depth interviews with pregnant women and perinatal healthcare service providers to explore their perspectives on influenza vaccination during pregnancy, including the reasons for their willingness or unwillingness to receive ( or recommend) the vaccine, and the relevant facilitators and barriers to vaccination. ResultsA total of 366 pregnant and postpartum women participated in the questionnaire survey, and 9.56% (35/366) of them were willing to receive the influenza vaccine during pregnancy. The results of multivariate logistic stepwise regression analyses showed that primipara (aOR=0.158, 95%CI: 0.037‒0.671, P=0.012), family members’ support for influenza vaccination during pregnancy (aOR=0.015, 95%CI: 0.003‒0.082, P<0.001) were associated with higher willingness to receive influenza vaccine during pregnancy. Absence of influenza infection during pregnancy (aOR=5.383, 95%CI: 1.801‒16.092, P<0.001), and lack of knowledge regarding influenza vaccination during pregnancy (aOR=11.294, 95%CI: 3.593‒35.496, P<0.01) were associated with lower willingness to receive influenza vaccine during pregnancy. Qualitative findings indicated that the facilitators to vaccination willingness among pregnant and postpartum women included the recommendation of healthcare service providers, adequate knowledge of influenza vaccine information and family members’ support for vaccination. Conversely, the barriers to vaccination willingness included low recommendation from the healthcare service providers, lack of knowledge about the safety of influenza vaccine during pregnancy and inadequate attention to influenza and influenza vaccine. ConclusionThe willingness to receive influenza vaccination among pregnant and postpartum women in Shanghai and Liaoning Province is relatively low. It is recommended that China should promptly improve the evidence-based system for the safety and efficacy of influenza vaccines for pregnant and postpartum women, along with an establishment of the mechanism for addressing adverse reactions. Furthermore, it is essential to enhance educational outreach to pregnant and postpartum women, their families, and healthcare service providers, thereby increasing the accessibility of information regarding influenza vaccination, which are expected to enhance the willingness of pregnant and postpartum women to receive the vaccine.

This article summarizes the nursing care of a pediatric patient with melioidosis complicated by septic shock.Key nursing interventions included:to arrange the sequence of drugs reasonably to ensure the safety of the combined use of multiple drugs;systemic anti-infection treatment combined with special treatment of locally infected skin promotes wound healing;in view of the characteristics of the bacteria causing melioidosis,strict isolation and long-term monitoring measures for hospital infection control should be formulated;to enhance the disease coping ability of the child and parents and alleviate negative emotions.After 100 days of intensive treatment and meticulous nursing care,the patient's condition improved,and the discharge was achieved.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective:To explore the mechanism of curcumin (Cur) in intervening leukemia based on transcriptomics and network pharmacology.Methods:(1) Cell proliferation experiment: Leukemia MV-4-11 cells were cultured in vitro and divided into the control group (DMSO), 15 μmol/L curcumin group (Cur 15 μmol/L), and 20 μmol/L curcumin group (Cur 20 μmol/L). The CFSE method by flow cytometry was used to determine the inhibitory effect of curcumin on the growth of leukemia MV-4-11 cells at 0, 24, and 48 hours. (2) Network pharmacology analysis: the Smiles number of curcumin was obtained using the PubChem database. The targets of curcumin were retrieved from SwissTargetPrediction, SEA, TTD, and CTD platforms. Leukemia-related targets were screened using Genecards, OMIM, TTD, and CTD databases, and the intersection targets of curcumin-leukemia were further collected. (3) Transcriptomics and network pharmacology analysis: RNA from MV-4-11 cells in the control group and Cur group was collected, transcriptome sequencing was performed, and the common targets of differential genes in network pharmacology and transcriptomics were collected. The STRING website and Cytoscape software were used to construct a protein-protein interaction (PPI) network for the intersection targets. The David database and micro-bioinformatics were used for enrichment analysis based on gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Finally, the core targets and main pathways of curcumin in anti-leukemia were screened out.Results:(1) Compared with the control group, 15 μmol/L and 20 μmol/L curcumin significantly inhibited the proliferation of MV-4-11 cells (all P<0.05). (2) Network pharmacology analysis showed 1 209 curcumin drug targets and 7 702 leukemia-related targets, with 901 intersection targets for curcumin′s anti-leukemia effect. (3) Transcriptome sequencing showed 14 714 genes expressed in the curcumin group and 13 689 genes in the control group, with a total of 3 064 differentially expressed genes, including 2 189 up-regulated genes and 875 down-regulated genes. There were 182 intersection targets between network pharmacology and transcriptomics. KEGG enrichment results indicated that the anti-leukemia targets of curcumin were mainly related to cancer signaling pathways, phosphatidylinositol-3-kinase signaling pathway (PI3K-Akt) signaling pathway, and mitogen-activated protein kinase (MAPK) signaling pathway. Conclusions:This study obtained the gene expression profile of curcumin acting on leukemia and elaborated the molecular mechanism of inhibiting leukemia cell proliferation, which is mainly involved in cancer signaling pathways, PI3K-Akt signaling pathway, MAPK signaling pathway, etc., indicating that the inhibitory effect of curcumin on leukemia is multi-faceted and multi-level.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

This article summarizes the nursing care of a pediatric patient with melioidosis complicated by septic shock.Key nursing interventions included:to arrange the sequence of drugs reasonably to ensure the safety of the combined use of multiple drugs;systemic anti-infection treatment combined with special treatment of locally infected skin promotes wound healing;in view of the characteristics of the bacteria causing melioidosis,strict isolation and long-term monitoring measures for hospital infection control should be formulated;to enhance the disease coping ability of the child and parents and alleviate negative emotions.After 100 days of intensive treatment and meticulous nursing care,the patient's condition improved,and the discharge was achieved.

OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.