This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

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.

Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

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.

Aim To detect the changes of serum cardiotrophin-1(CT-1)and angiopoietin-like protein 3(ANGPTL3)levels in patients with coronary heart disease(CHD)complicated with heart failure(HF)after percutaneous coronary intervention(PCI),and analyze their relationship with prognosis.Methods 199 patients with CHD compli-cated with HF who underwent PCI in the Second Affiliated Hospital of Zhengzhou University from March 2022 to March 2023 were selected.The serum CT-1 and ANGPTL3 levels of patients with different New York Heart Association(NYHA)cardiac function grades were compared before surgery.The prognosis was followed up after PCI,and the pa-tients who had major adverse cardiovascular event(MACE)were included in the poor prognosis group,and the rest were included in the good prognosis group.The general data and serum CT-1 and ANGPTL3 levels were compared between the poor prognosis group and the good prognosis group.Logistic regression model was used to analyze the influencing factors of poor prognosis after surgery in patients with CHD and HF.The predictive value of serum CT-1 and ANGPTL3 alone and in combination were analyzed.Results Compared with the patients with cardiac function grade Ⅰ,the serum CT-1 and ANGPTL3 levels of the patients with cardiac function grade Ⅱ,Ⅲ and Ⅳ were increased(P＜0.05).Compared with the patients with cardiac function grade Ⅱ,the serum CT-1 and ANGPTL3 levels of the patients with cardiac function grade Ⅲ and Ⅳ were increased(P＜0.05).Compared with the patients with cardiac function grade Ⅲ,the serum CT-1 and ANGPTL3 levels of the patients with acrdiac function grade Ⅳ were increased(P＜0.05).Spearman correlation a-nalysis showed that the serum CT-1 and ANGPTL3 levels were positively correlated with NYHA cardiac function grade(r=0.518,95％CI:0.408～0.613,P＜0.001,r=0.737,95％CI:0.666～0.794,P＜0.001).The poor prognosis rate of patients was 17.93％.Compared with the good prognosis group,the serum CT-1 and ANGPTL3 levels of the poor progno-sis group were increased(P＜0.05).Logistic regression model analysis showed that smoking,diabetes,lesion vessel number ≥3,irregular medication outside the hospital,serum CT-1 and ANGPTL3 levels were the influencing factors of poor prognosis in patients with CHD complicated with HF(P＜0.05).ROC curve analysis showed that the sensitivity and area under the curve(AUC)of combined serum CT-1 and ANGPTL3 levels for predicting poor prognosis of patients with CHD complicated with HF were higher than those of either marker alone,while the specificity was basically similar to that of sin-gle-marker prediction.Conclusion Serum CT-1 and ANGPTL3 levels are abnormally elevated in patients with CHD complicated with HF after PCI,and are closely related to the cardiac function and prognosis.

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.

Objective:To summarize the clinical and genetic characteristics of 23 children with pathogenic ACAN gene variants, enhance the understanding of this disorder, and explore possible regulatory mechanisms. Methods:A retrospective case series summary.The clinical characteristics and genetic analysis results of 23 children with ACAN gene variants treated in the Department of Endocrinology, Genetics and Metabolism, Children′s Hospital of Soochow University from January 2016 and September 2024 were analyzed retrospectively.Transcriptome sequencing was performed on peripheral blood samples from 3 of affected children and 3 age-matched healthy children as controls.Differentially expressed genes (DEGs) in the peripheral blood transcriptome profiles were identified.Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were conducted to explore the potential signaling pathways involved. Results:Among the 23 cases, there were 13 males and 10 females, aged from 2 years and 8 months to 12 years old, with 11 cases presenting advanced bone age.Thirteen cases were treated with growth hormone (GH), including 6 cases who received concomitant gonadotropin-releasing hormone analogue therapy.The treatment duration ranged from 3 to 70 months, resulting in varying degrees of height improvement in all treated patients.Transcriptomic analysis identified 811 DEGs, with 516 up-regulated and 295 down-regulated.GO and KEGG enrichment analyses revealed that the heterozygous ACAN variants were significantly associated with FcγR-mediated phagocytosis, nuclear factor-κB signaling pathway, the intestinal immune network for IgA production, rheumatoid arthritis, and systemic lupus erythematosus signaling pathways. Conclusions:The predominant clinical manifestations of patients with ACAN gene variants are short stature and advanced bone age.Although GH provocation tests may indicate normal GH levels, GH therapy can be effective in improving height.Immune-related factors may play a role in the pathogenesis of this disorder.

Objective To investigate the impact of mitophagy,mediated by the long non-coding RNA SNHG16(LncRNA SNHG16)on diabetes-associated cognitive impairment(DCI).Methods 29 male C57BL/J mice were randomly divided into normal control(NC)group,DCI group and DCI+mitochondrial autophagy inhibitor(DCI+Mdivi-1)group.Morris water maze and new object recognition test were used to detect the cognitive function of mice,qRT-CPR was used to detect the expression of LncRNA SNHG16 and mitochondrial autophagy marker mRNA.Western blot were used to detect the expression of related protein.The mouse hippocampal neurons HT22 were divided into control(Con)group,high glucose(HG)group,HG+SNHG16 silencing(HG+sh-SNHG16)group and HG+no-load control(HG+sh-NC)group.CCK8 method and lactate dehydrogenase(LDH)method were used to detect neuronal damage.JC-1 method was used to detect mitochondrial membrane potential.Results Compared with NC group,the expression of LncRNA SNHG16 and the expression of autophagy-related gene 5,PTEN-induced putative kinase 1(PINK1),Parkin and microtubule associated protein light chain 3(LC3)Ⅱ/Ⅰ increased(P<0.05),while the expression of mitochondrial autophagy-related proteins P62 and mitochondrial outer membrane transposase 20(TOMM20)decreased in T2DM group.Compared with DCI group,the cognitive dysfunction of mice improved,and the expression level of LncRNA SNHG16 decreased in the DCI+Mdivi-1 group(P<0.05).The expressions of LncRNA SNHG16,LC3 Ⅱ/Ⅰ,PINK1 and Parkin were higher in HG group than in Con group(P<0.05),while the cell survival rate and TOMM20 protein expression were lower in HG group than in Con group(P<0.05).Silence of LncRNA SNHG16 can restore the activity of HT22 cells and mitochondrial membrane potential,and reduce the level of mitochondrial autophagy under HG condition.Conclusions The expression level of LncRNA SNHG16 was up-regulated in the hippocampus brain region of mice with diabetic cognitive dysfunction,and mitophagy was overactivated.Silencing of LncRNA SNHG16 inhibits mitophagy in hippocampal neurons and alleviates HG induced hippocampal neuronal damage.

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.