OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets， followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established ， and the zebrafish were treated with L. ruthenicum Murr. extract （LRME） at concentrations of 0.1， 0.2 and 0.4 mg/mL， respectively； 24 h later， behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 （IL-6）， IL-1β， IL-10， tumor necrosis factor-α （TNF-α）]， oxidative stress markers [superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， catalase （CAT）]， and neurotransmitters [5- hydroxytryptamine （5-HT）， γ-aminobutyric acid （GABA）， glutamic acid （Glu）， dopamine （DA）， and norepinephrine （NE）] were measured. The protein expression levels of protein kinase B1 （AKT1）， phosphorylated AKT1 （p-AKT1）， epidermal growth factor receptor （EGFR）， B-cell lymphoma 2 （Bcl-2）， sarcoma proto-oncogene，non-receptor tyrosine kinase （SRC）， and heat shock protein 90α family class A member 1 （HSP90AA1） in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these， apigenin， naringenin and others were recognized as core active compounds， while AKT1， EGFR and others served as key targets； EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-， medium-， and high-dose groups were 54.60%， 69.03% and 77.97%， 开发。E-mail：hjp_yft@163.com respectively， while the inhibition ratios of locomotor distance were 0.57， 0.83 and 0.95， respectively. Compared with the model group， the number of resting counts， resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups （P＜0.05）. Neuronal damage in the brain was alleviated. Additionally， the levels of IL-6， IL-1β， TNF-α， MDA， Glu， DA and NE， as well as the protein expression levels of AKT1， p-AKT1， EGFR， SRC and HSP90AA1， were markedly reduced （P＜0.05）， while the levels of IL-10， SOD， GSH-Px， CAT， 5-HT and GABA， as well as Bcl-2 protein expression， were significantly elevated （P＜0.05）. CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects， and its specific mechanism may be related to the regulation of inflammatory responses， oxidative stress， neurotransmitter balance， and the EGFR tyrosine kinase inhibitor resistance signaling pathway.

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.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

OBJECTIVES: To investigate the effect of ecliptasaponin A (ESA) for alleviating dextran sulfate sodium (DSS)-induced inflammatory bowel disease (IBD) in mice and the underlying mechanism. METHODS: Twenty-four male C57BL/6 mice (8-10 weeks old) were equally randomized into control group, DSS-induced IBD model group, and DSS+ESA (50 mg/kg) treatment group. Disease activity index (DAI), colon length and spleen index of the mice were measured, and intestinal pathology was examined with HE staining. The expressions of inflammatory mediators (TNF-α, IL-6, and iNOS) in the colon mucosa were detected using ELISA and RT-qPCR, and intestinal barrier integrity was assessed using AB-PAS staining and by detecting ZO-1 and claudin-1 expressions using immunofluorescence staining and Western blotting. In cultured RAW264.7 macrophages, the effects of treatment with 50 μmol/L ESA, alone or in combination with 20 μmol/L RO8191 (a JAK2/STAT3 pathway activator), on M1 polarization of the cells induced by LPS and IFN-γ stimulation and expressions of JAK2/STAT3 pathway proteins were analyzed using flow cytometry and Western blotting. RESULTS: In the mouse models of DSS-induced IBD, ESA treatment significantly alleviated body weight loss and colon shortening, reduced DAI, spleen index and histological scores, and ameliorated inflammatory cell infiltration in the colon tissue. ESA treatment also suppressed TNF‑α, IL-6 and iNOS expressions, protected the goblet cells and the integrity of the mucus and mechanical barriers, and upregulated the expressions of ZO-1 and claudin-1. ESA treatment obviously decreased CD86⁺ M1 polarization in the mesenteric lymph nodes of IBD mice and in LPS and IFN-γ-induced RAW264.7 cells, and significantly reduced p-JAK2 and p-STAT3 expressions in both the mouse models and RAW264.7 cells. Treatment with RO8191 caused reactivation of JAK2/STAT3 and strongly attenuated the inhibitory effect of ESA on CD86⁺ polarization in RAW264.7 cells. CONCLUSIONS ESA alleviates DSS-induced colitis in mice by suppressing JAK2/STAT3-mediated M1 macrophage polarization and mitigating inflammation-driven intestinal barrier damage.
Animals ; Mice ; Janus Kinase 2/metabolism* ; STAT3 Transcription Factor/metabolism* ; Mice, Inbred C57BL ; Male ; Dextran Sulfate ; Macrophages/cytology* ; Colitis/metabolism* ; Saponins/pharmacology* ; Signal Transduction/drug effects* ; RAW 264.7 Cells ; Triterpenes/pharmacology* ; Interleukin-6/metabolism*

OBJECTIVES: To investigate the mechanism through which pinostrobin (PSB) alleviates dextran sulfate sodium (DSS)-induced colitis in mice. METHODS: C57BL/6 mice were randomized into control group, DSS model group, and PSB intervention (30, 60, and 120 mg/kg) groups. Colitis severity of the mice was assessed by examining body weight changes, disease activity index (DAI), colon length, and histopathology. The expressions of tight junction proteins ZO-1 and claudin-1 in the colon tissues were examined using immunofluorescence staining, and macrophage infiltration and polarization were analyzed with flow cytometry. ELISA and RT-qPCR were used for detecting the expressions of inflammatory factors (TNF‑α and IL-6) and chemokines (CCL₂, CXCL₁₀, and CX₃CL₁) in the colon tissues, and PI3K/AKT phosphorylation levels were analyzed with Western blotting. In cultured Caco-2 and RAW264.7 cells, the effect of PSB on CCL₂-mediated macrophage migration was assessed using Transwell assay. Network pharmacology analysis was performed to predict the key pathways that mediate the therapeutic effect of PSB. RESULTS: In DSS-induced mouse models, PSB at 60 mg/kg optimally alleviated colitis, shown by reduced weight loss and DAI scores and increased colon length. PSB treatment significantly upregulated ZO-1 and claudin-1 expressions in the colon tissues, inhibited colonic macrophage infiltration, and promoted the shift of macrophage polarization from M1 to M2 type. In cultured intestinal epithelial cells, PSB significantly inhibited PI3K/AKT phosphorylation and suppressed chemokine CCL₂ expression. PSB treatment obviously blocked CCL₂-mediated macrophage migration of RAW264.7 cells, which could be reversed by exogenous CCL₂. Network pharmacology analysis and rescue experiments confirmed PI3K/AKT and CCL₂ signaling as the core targets of PSB. CONCLUSIONS PSB alleviates DSS-induced colitis in mice by targeting intestinal epithelial PI3K/AKT signaling, reducing CCL₂ secretion, and blocking macrophage chemotaxis and migration, highlighting the potential of PSB as a novel natural compound for treatment of inflammatory bowel disease.
Animals ; Mice ; Mice, Inbred C57BL ; Phosphatidylinositol 3-Kinases/metabolism* ; Colitis/drug therapy* ; Dextran Sulfate ; Proto-Oncogene Proteins c-akt/metabolism* ; Macrophages ; Chemokine CCL2/metabolism* ; Humans ; Signal Transduction/drug effects* ; Caco-2 Cells ; RAW 264.7 Cells ; Epithelial Cells/drug effects* ; Intestinal Mucosa/metabolism*

Background: and Purpose Limited evidence exists on the effectiveness of endovascular treatment (EVT) for acute posterior circulation tandem lesion (PCTL). This study aimed to explore the role of extracranial vertebral artery (VA) stenting in patients with PCTL stroke undergoing EVT. Methods: Individual patient data were pooled from the BASILAR (EVT for Acute Basilar Artery Occlusion Study) and PERSIST (Posterior Circulation Ischemic Stroke) registries. Patients with PCTLs who underwent EVT were included in the present cohort and divided into the stenting and nonstenting groups based on the placement of extracranial VA stents. The primary efficacy outcome was the modified Rankin Scale (mRS) scores at 90 days and 1 year. Safety outcomes included 24-hour symptomatic intracranial hemorrhage (sICH) and all-cause mortality at 90 days and 1 year post-surgery. Results: A combined dataset of 1,320 patients with posterior circulation artery occlusion, including 263 (19.9%) with tandem lesions, of whom 217 (median age, 65 years; 82.9% male) met the inclusion criteria for the analysis. The stenting group had 84 (38.7%) patients, while the non-stenting group had 133 (61.3%). After adjustment for the potential confounders, extracranial VA stenting was associated with favorable shifts in mRS scores at both 90 days (adjusted common odds ratio [OR], 2.30; 95% confidence interval [CI], 1.23–4.28; P<0.01) and 1 year (adjusted OR [aOR], 2.04; 95% CI [1.05–3.97]; P=0.04), along with lower rate of mortality at both 90 days (aOR, 0.45; 95% CI [0.21–0.93]; P=0.01) and 1 year (aOR, 0.36; 95% CI [0.16–0.79]; P=0.01), with no significant difference in sICH incidence (aOR, 0.35; 95% CI [0.06–1.98]; P=0.24). Conclusion Extracranial VA stenting during EVT may improve functional outcomes and reduce mortality in patients with PCTL strokes.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Objective:To explore the effects of perceived stress on ego depletion of college students, as well as the mediating role of emotional eating and the moderating role of peer relationship.Methods:A cross-sectional survey of 1 088 college students was conducted using the perceived stress scale, the Dutch eating behavior questionnaire, the self-control resource depletion scale, and the peer relationship measurement from December 2023 to April 2024.PROCESS Macro program in SPSS 25.0 software was used to test the mediating effect of emotional eating and the moderating effect of peer relationship.Results:(1)The score of perceived stress, emotional eating, peer relationship and ego depletion were 39.26±8.35, 39.19±12.15, 2.00(1.00), and 18.19±7.15, respectively.(2)Perceived stress was positively correlated with emotional eating, ego depletion, and peer relationship( r=0.36, 0.61, 0.25, all P<0.01). Emotional eating was positively correlated with ego depletion and peer relationship( r=0.40, 0.19, both P<0.01). And ego depletion was positively correlated with peer relationship( r=0.23, P<0.01).(3)Emotional eating played a partial mediating role in the effect of perceived stress on ego depletion( β=0.077, 95% CI=0.053-0.104), and the mediating effect accounted for 12.38%(0.077/0.622) of the total effect.(4)Peer relationship played a moderating role between perceived stress and emotional eating. Under low peer relationship, perceived stress had a significant positive predictive effect on emotional eating( βsimple=0.46, P<0.01), and under high peer relationship, the predictive effect of perceived stress on emotional eating was significantly weaker( βsimple=0.26, P<0.01). Conclusions:Perceived stress not only directly affects ego depletion, but also indirectly affects ego depletion through emotional eating in college students.High levels of peer relationship can weaken the impact of perceived stress and high emotional eating on ego depletion.

Objective To explore the protective effect of resveratrol on myocardial damage caused by sepsis in rats.Methods Forty SD rats were randomly divided into control group,model group,experimental group and combined group,with 10 rats in each group.Except the control group,the other rats were intraperitoneally injected with 20 mg·kg-1 lipopolysaccharide,while the control group was injected with the same amount of normal saline.Two hours before modeling,the experimental group and combinated group were given 50 mg·kg-1 resveratrol by gavage,and the control group and model group were given the same amount of normal saline by gavage.The combined group was injected with 10 nmol of micro RNA-155(miR-155)agomir through the tail vein,and the other group was injected with equal volume of normal saline through the tail vein.Left ventricular function parameters of rats were measured by echocardiography.The level of myocardial injury markers was detected by colorimetry.Quantitative reverse transcription polymerase chain reaction was used to detect the expression of miR-155.The expression of sirtuin 1(SIRT1)and related proteins of nuclear factor κB signaling pathway were detected by Western blot.Results The left ventricular ejection fraction of control group,model group and experimental group were(80.78±12.85)％,(55.92±7.86)％and(71.55±10.71)％,respectively;left ventricular fractional shortening were(34.08±5.75)％,(22.92±2.96)％,(28.72±4.25)％,respectively;left ventricular end disatolic diameter were(3.12±0.46),(6.34±0.69),(4.95±0.57)mm,respectively;the left ventricular end systolic diameter were(5.98±0.65),(7.24±0.80),(6.16±0.78)mm,respectively;the fractional shortening were(38.91±5.38)％,(22.67±3.53)％,(30.74±3.97)％,and the expression levels of creatine kinase-MB were(661.56±85.44),(1181.41±142.14),(915.02±105.19)U·L-1,respectively;the expressions levels of cardiac troponin Ⅰ were(148.17±28.48),(448.17±60.34)and(375.44±49.01)ng·mL-1,respectively.The expression of miR-155 in control group,model group,experimental group and combined group were 1.00±0.12,3.79±0.45,1.87±0.23 and 4.03±0.49,respectively;the protein relative expression levels of nuclear factor κB(NF-κB)were 1.00±0.08,5.04±0.59,2.73±0.35,5.58±0.63,respectively;the protein relative expression levels of inhibitor of NF-κB-β were 1.00±0.11,3.03±0.37,1.35±0.15 and 2.89±0.34,respectively;the protein relative expressions of inhibitor of NF-κB-α were 1.00±0.13,0.86±0.08,1.21±0.18,0.77±0.09,respectively;the protein relative expression levels of SIRT1 were 1.00±0.16,0.66±0.07,0.93±0.14,0.54±0.06,respectively.The above indicators of the model group were compared with the control group,the experimental group were compared with the model group,and the above indicators of the combined group were compared with the experimental group,and the differences were statistically significant(all P＜0.05).Conclusion Resveratrol can alleviate myocardial injury and improve cardiac function in sepsis rats,which may be achieved by down-regulating the expression of miR-155,up-regulating the level of SIRT1,and inhibiting the nuclear factor κB signaling pathway.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.