Metabolic dysfunction-associated fatty liver disease （MAFLD） has become one of the most prevalent chronic liver diseases worldwide， posing a serious challenge to public health. In this context， the integration of artificial intelligence （AI）， especially intelligent diagnosis and treatment and digital health interventions based on machine learning， can break through the limitations of traditional methods， realize efficient screening of multi-dimensional data such as key genes， biomarkers， and biochemical metabolites， and achieve revolutionary breakthroughs in risk prediction， subtype identification， and therapeutic effect assessment for MAFLD. This article systematically reviews the ground-breaking application of machine learning models in driving the innovation of clinical diagnosis and precise risk prediction of MAFLD， conducts a comprehensive comparative analysis of digital health practice cases of MAFLD in China and globally， and deeply analyzes their advantages and limitations in terms of research subjects， interventions， and management team. Studies have shown that the deep integration of digital health and long-term management of MAFLD is becoming the key engine driving the transformation of disease management modes towards an intelligent， individualized， and precise era， but there are various ethical and technical issues that need to be addressed urgently.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Kynurenine pathway (KP) is a major catabolic route of tryptophan, generating a series of bioactive metabolites including kynurenine, kynurenic acid (KA), quinolinic acid, and 3-hydroxykynurenine. Beyond its fundamental role in amino acid metabolism, KP exerts critical regulatory functions in neurodevelopment, synaptic plasticity, and immune modulation. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition with onset in early childhood, characterized by persistent deficits in social communication and restricted, repetitive behaviors. Despite extensive research, the etiological mechanisms underlying ASD remain highly complex and incompletely understood, involving genetic, environmental, and immunological factors. Emerging clinical evidence has consistently revealed a significant imbalance in KP metabolites in individuals with ASD, often accompanied by altered ratios of neuroprotective versus neurotoxic byproducts. However, the primary drivers of this metabolic dysregulation and its causative contribution to ASD pathogenesis are not yet fully elucidated. In this review, we systematically review the enzymatic steps of KP and the principal physiological functions of its major metabolites, with particular emphasis on their dual roles in neuroprotection and neurotoxicity. We then analyze the potential pathogenic mechanisms through which KP dysfunction may contribute to ASD, focusing on two interconnected etiological dimensions. First, KP imbalance can promote oxidative stress, which in turn triggers chronic inflammatory responses via microglial activation and release of pro-inflammatory cytokines, thereby disrupting neuronal homeostasis. Second, aberrant KP metabolism affects neurotransmitter systems, particularly glutamatergic and dopaminergic signaling, leading to impaired neural circuit development and synaptic pruning. By integrating current findings on the KP-ASD association, this review offers a comprehensive etiological framework and a clinically relevant paradigm. Furthermore, we highlight that specific KP metabolites, such as the KA/quinolinic acid ratio, hold promise as peripheral biomarkers for early diagnosis and disease stratification. Finally, we discuss the therapeutic potential of targeting KP enzymes or receptors for personalized intervention strategies, while acknowledging the challenges in translating these findings into clinical practice.

Objective:This study aimed to identify key genes in endothelial cell (EC) associated with the pathogenesis and progression of human venous malformations (VMs) through bioinformatics analysis, providing potential biomarkers for early screening and targeted therapy of VMs.Methods:A case-control study was conducted using surgically resected tissue specimens from VMs patients at the Third Affiliated Hospital of Zhengzhou University (from September 2021 to September 2023), with malformed venous tissues as the experimental group and distal normal venous tissues as controls. Single-nucleus RNA sequencing (snRNA-seq) was performed on paired experimental and control samples from four VM patients. High-dimensional weighted gene co-expression network analysis (hdWGCNA), combined with gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and protein-protein interaction (PPI) network analysis, identified critical genes. Validation experiments included 15 additional VM cases and controls using reverse transcription quantitative polymerase chain reaction (RT-qPCR), immunohistochemistry (IHC), and Western blot.Results:A total of 55 430 nuclei were captured using snRNA-seq, with 30 391 nuclei from the experimental group and 25 039 nuclei from the control group. Cluster analysis identified 22 distinct cell populations, which were annotated into 8 cell types. hdWGCNA revealed four modules associated with invasion, which were enriched in angiogenesis, integrin signaling, and cell adhesion according to GO analysis. KEGG pathway analysis indicated that the PI3K-AKT signaling pathway and focal adhesion are key regulatory mechanisms. PPI network analysis combined with cytoscape identified EGFL7, TEK, and FLT1 as key genes. RT-qPCR results demonstrated that the relative mRNA expression levels of these three genes in the experimental group (6.66±2.31, 1.86±0.62, 3.49±0.58) were significantly higher than those in the control group (1.05±0.14, 1.00±0.14, 1.06±0.25), with statistically significant differences ( t=9.37, 4.27, 11.20, P<0.05). Immunohistochemical analysis showed that the relative protein expression levels of these three genes in the cytoplasm of the experimental group (0.84±0.15, 0.68±0.14, 0.85±0.12) were also significantly higher than those in the control group (0.19±0.05, 0.23±0.06, 0.30±0.05), with statistically significant differences ( t=16.62, 5.93, 11.68, P<0.05). Western blot analysis confirmed that the relative protein expression levels of these three genes in the experimental group (0.35±0.04, 0.36±0.09, 0.31±0.04) were significantly higher than those in the control group (0.19±0.01, 0.13±0.02, 0.14±0.04), with statistically significant differences ( t=7.05, 4.61, 5.93, P<0.05). Conclusion:EGFL7, FLT1, and TEK in EC may play crucial roles in the occurrence and invasion of VMs.

Objective:To utilize single-nucleus RNA sequencing(snRNA-seq) technology to investigate the primary cell subpopulations in human limb venous malformations (VMs) tissue and the role of the key gene RhoJ.Methods:Surgical resection specimens of VMs tissues and surrounding normal vein tissues were collected from 100 clinically diagnosed and screened patients with limb VMs at the Department of Hemangioma Surgery of the Third Affiliated Hospital of Zhengzhou University from January 2021 to December 2023. (1) Transcriptome analysis: Three patient samples were randomly selected for snRNA-seq studies, with the surgically removed VMs tissue serving as the experimental group and the surrounding normal vein tissue as the control group. A gene expression matrix for cell nuclei was established, followed by data quality control, dimensionality reduction, clustering, and cell type annotation. Cell-to-cell communication analysis was performed using the R language CellChat package to identify dominant cell subpopulations. The FindMarkers function was utilized to screen for differentially expressed genes (DEGs) between the dominant cell subpopulations of the experimental and control groups, and functional enrichment analysis was conducted. (2) Tissue experiments: An additional 35 patient samples from both the experimental and control groups were randomly selected. The mRNA and protein expression levels of the RhoJ gene were measured using real-time quantitative PCR (RT-qPCR) and Western blotting, respectively. (3) Validation experiments with human umbilical vein endothelial cells (HUVECs): HUVECs were transfected with pcDNA3.1-NC (blank control) and pcDNA3.1-RhoJ (plasmid expression vector carrying the RhoJ gene), respectively. The biological behavior differences between the two groups of cells were examined using the CCK-8 cell proliferation assay, Transwell invasion assay, and Matrigel angiogenesis assay. Measurement data conforming to a normal distribution were expressed as Mean±SD, and comparisons between the two groups were performed using an independent samples t-test. Results:Through CellChat intercellular communication analysis, it was discovered that endothelial cells were the predominant cell subpopulation in both the experimental and control groups, exhibiting strong communication links with other cell subpopulations. In the analysis of DEGs, it was found that the RhoJ gene in endothelial cells was significantly involved in the biological processes of angiogenesis and regulation. In tissue experiments, RT-qPCR and Western bloting results indicated that the relative expression levels of RhoJ mRNA (4.48±1.29 vs. 1.01±0.17) and protein (1.22±0.03 vs. 0.51±0.20) in the experimental group were significantly higher than those in the control group, with statistically significant differences ( P<0.01 for both). The results of the HUVECs validation experiment showed that the cell proliferation, invasion, and angiogenesis abilities of the pcDNA3.1-RhoJ group were significantly enhanced compared to the pcDNA3.1-NC group. Conclusion:Endothelial cells represent the dominant cell subpopulation during the occurrence and locally invasive progression of VMs, playing a crucial role in this process. The RhoJ gene is significant in regulating the biological behavior of VMs endothelial cells.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To investigate the underlying mechanism behind the significant reduction in intracellular virus loads after respiratory syncytial virus (RSV) and influenza viruses infect respiratory epithelial cells overexpressing the chemokine (C-C motif) receptor 1 (CCR1).Methods:A549 cells were infected with respiratory syncytial virus (RSV), influenza A viruses (H1N1, H3N2), or influenza B virus (FluB), and the expression of chemokine (C-C motif) ligand 5 (CCL5) and CCR1 were detected by qRT-PCR, ELISA, and Western blot. After overexpressing or knocking down CCR1 in A549 cells, these cells were infected with RSV, H1N1, H3N2, or FluB, and the expression of CCR1, heat shock protein 90 (HSP90), cyclin-dependent kinase 1 (CDK1), and viral proteins were detected by qRT-PCR and Western blot. After stimulating CCR1-overexpressed A549 cells with CCL5, Western blot was used to detect the expression of HSP90 and CDK1, and co-immunoprecipitation was used to detect the interaction between HSP90 and CCR1. CCR1 -/- mice were infected with RSV, H1N1, or H3N2 to observe the changes in the expression of HSP90, CDK1, and viral proteins with Western blot, and the inflammation in lung tissues with HE staining. One-way analysis of variance and t test were used for statistical analysis. Results:RSV, H1N1, H3N2, and FluB infections induced high expression of CCL5 in A549 cells ( P<0.05), but the expression of CCR1 showed an overall downward trend. After activating its receptor CCR1, CCL5 inhibited the replication of RSV and influenza viruses by suppressing the activity of HSP90 ( P<0.05). The experiments conducted on CCR1 -/- mice confirmed that the enhanced activity of HSP90 facilitated the replication of RSV and influenza viruses. Conclusion:RSV and influenza viruses may reduce the binding of CCL5 to CCR1 by downregulating the expression of CCR1 in respiratory epithelial cells, thereby weakening the inhibitory effect of CCR1 on HSP90 activity, which enables them to evade host immune defense.

Objective To investigate the interaction relationship among symptoms in middle-aged patients during the recovery period of stroke and explore its correlation with rehabilitation confidence,providing a reference for the implementation of precise rehabilitation nursing.Methods A cross-sectional study was conducted,and 365 middle-aged patients in the recovery period of stroke who were hospitalized in 4 tertiary general hospitals in Wuhan from April 20 to August 31,2024 were conveniently selected as the subjects of the investigation.Data were collected using the General Information Questionnaire,Stroke Symptom Experience Scale,and Confidence after Stroke Measure Questionnaire.Symptom network analysis was conducted using R software,and a network structure model of symptoms-rehabilitation confidence was constructed;meanwhile,the stability of the network structure was evaluated.Results Finally,350 middle-aged stroke patients in the recovery period were included.The most common symptom was"limb weakness"(81.1％).Symptom network analysis showed that"limited limb movement"was the core symptom(rs=1.118).The symptoms strongly associated with recovery confidence were"limited physical movement","annoyance at not being able to do what you want to do"and"slow reaction times".Stability tests suggest that the model results are all good.Conclusion Symptoms of middle-aged patients in the recovery period after stroke are interrelated,and the mechanisms by which different symptoms affect rehabilitation confidence are also different.It is recommended that healthcare professionals prioritize interventions based on core symptoms and inter-symptom relationships in order to accurately enhance patient outcomes and improve recovery outcomes.

Hepatic encephalopathy (HE) is a kind of neuropsychiatric syndrome caused by acute or chronic liver failure or portosystemic venous shunt (hereinafter referred to as portosystemic shunt), which can lead to the occurrence of functional impairment, personality and behavioral abnormalities, coma, and even death. Most patients with cirrhosis combined with HE have spontaneous portosystemic shunt (SPSS), especially those with recurrent or persistent HE. Internal medicine's current standard of treatment for HE associated with SPSS in cirrhotic patients is unsatisfactory, and even after treatment, recurrent HE episodes may still occur. Although interventional therapy has shown significant results and has been applied in clinical practice for many years for SPSS-associated HE, the number of treatment-related cases is relatively small, and there is a lack of large samples and well-designed research. Currently, interventional therapy for SPSS-associated HE in patients with cirrhosis is still under continuous exploration.

Objective:To summarize the clinicopathological features, evolving trends in treatment and surgical approaches, and survival outcomes of patients who underwent D2 radical gastrectomy for gastric cancer in Shanxi Provincial Cancer Hospital over the past 11 years with the goal of providing a reference for the clinical practice of gastric cancer in this region.Methods:A retrospective observational study was conducted to analyze the clinicopathological data of patients who underwent D2 radical gastrectomy for pathologically confirmed gastric malignancy at the Department of Gastrointestinal Surgery, Shanxi Provincial Cancer Hospital from January, 2013 to December, 2023. Exclusion criteria consisted of: (1) residual gastric cancer or recurrent gastric cancer after surgery; (2) emergency gastric cancer resection due to bleeding, perforation, obstruction, or other causes; (3) comorbidity with other primary malignant tumors; (4) severe preoperative cardiopulmonary insufficiency or hepatic and renal insufficiency who cannot tolerate radical surgery; and (5) inconsistent main diagnosis information across the medical record system, pathological system, and gastric cancer-specific database. Patients were divided into three groups based on treatment methods: the surgery-only group, the perioperative chemotherapy group, and the adjuvant chemotherapy group. Endpoints included: (1) baseline patient characteristics; (2) trends in tumor location and pathological features; (3) evolution of treatment modalities; and (4) survival outcomes.Results:A total of 15,644 patients were included in the analysis, with 12,591 males and 3,053 females, the male-to-female gender ration was approximately 4∶1; the mean age was (61.2±9.5) years. The tumor sites were mainly concentrated in the esophagogastric junction (EGJ) (57.4%), followed by the antrum (25.9%). The incidence of EGJ cancer initially rose and then declined. However, gastric antrum tumors remained stable, and gastric body tumors showed a slow upward trend after 2020, accounting for 16.7%. In terms of pathological types, poorly differentiated carcinoma was the most prevalent, accounting for 55.9%, followed by moderately differentiated carcinoma (24.2%), mucinous adenocarcinoma (or signet ring cell carcinoma,14.1%), neuroendocrine carcinoma (4.8%), and well-differentiated carcinoma (0.9%). The proportion of poorly differentiated adenocarcinoma showed a significant upward trend overall as well, peaking at 65.6% in 2022 and decreasing to 57.5% in 2023. Mucinous adenocarcinoma (or signet ring cell carcinoma) exhibited fluctuations with a first increase followed by a decrease: it peaked at 17.3% in 2018, dropped sharply to 8.4% in 2022, and rose back to 13.8% in 2023. The proportions of well-differentiated adenocarcinoma, moderately differentiated adenocarcinoma, and neuroendocrine tumors remained stable year by year. In terms of pathological staging, the overall proportions of gastric cancer at Stage 0, Stage I, Stage II, Stage III, and Stage IVa were 0.5%, 17.3%, 25.1%, 54.9%, and 2.3%, respectively. For Stage III, its proportion was 74.6% in 2013, which decreased to 46.4% by 2023. Stages I and II gastric cancer showed an upward trend, with their proportions rising from 10.2% and 12.1% in 2013 to nearly 21.0% and 29.6% in 2023, respectively. Between 2013 and 2023, the proportion of patients who received surgery alone continued to decrease, with this proportion dropping to 34.7% in 2023. In contrast, the number of patients who received adjuvant chemotherapy increased year by year, reaching 54.2% in 2023. Since 2017, the application of perioperative chemotherapy has gradually increased, rising to 11.1% in 2023. Immunotherapy showed an almost synchronous growth trend with perioperative chemotherapy. However, targeted therapy exhibited a downward trend after a period of growth. There were 10,704 cases of open surgery (68.4%), 4,744 cases of laparoscopic surgery (30.3%), and 193 cases of transthoracic surgery (1.2%). Pathological margin positivity was observed in 443 cases (2.8%), and the volume of gastric cancer surgeries gradually increased, peaked in 2021 before subsequently decreasing gradually. However, the volume of laparoscopic surgeries did not decrease; instead, it showed an upward trend. The main resection method for EGJ tumors was total gastrectomy, accounting for 78.5% of the total, followed by proximal gastrectomy, which accounted for 21.5%. After total gastrectomy, esophagojejunal Roux-en-Y anastomosis was the primary anastomotic method, and for proximal gastrectomy, the main anastomotic method was esophagogastric anastomosis, which accounted for 68.0% of the total. For distal gastrectomy, Billroth II anastomosis was the most common anastomotic technique, accounting for 92.7% of these procedures. The overall incidence of postoperative complications was 14.5% (2,264/15,644), among which the incidence of severe complications (grades III-IV) was 4.5% (706/15,644). The entire cohort was followed up with for (47.1±36.8) months, and the 1-year, 3-year, and 5-year overall survival rates were 86.4%, 65.9%, and 58.1%, respectively. For patients with stage 0, I, II, III, and IV gastric adenocarcinoma, the 1-year overall survival rates were 95.7%, 98.0%, 89.4%, 81.0%, and 49.1%, respectively; the 3-year overall survival rates were 92.1%, 94.6%, 81.9%, 51.4%, and 14.7%, respectively; and the 5-year overall survival rates were 89.4%, 91.7%, 75.1%, 41.5%, and 10.0%, respectively. For patients with stage I, II, III, and IV gastric neuroendocrine carcinoma, the 1-year overall survival rates were 96.7%, 91.1%, 73.8%, and 52.6%, respectively; the 3-year overall survival rates were 87.2%, 69.6%, 46.1%, and 32.1%, respectively; and the 5-year overall survival rates were 87.2%, 62.2%, 36.7%, and 32.1%, respectively.Conclusions:Gastric cancer in Shanxi Province is characterized by a male predominance, a high prevalence of tumors at the esophagogastric junction, a large proportion of poorly differentiated adenocarcinoma, and presentation at advanced stages (predominantly Stage III). The detection rate of early gastric cancer has been increasing year by year, the volume of laparoscopic surgeries has been on the rise annually, and the treatment model has shifted from single surgery to comprehensive treatment.