Background/Aims: Lenvatinib resistance remains a critical barrier in advanced hepatocellular carcinoma (HCC) therapy. However, the underlying mechanisms and strategies for reversing resistance remain incompletely understood. Methods: Integrated transcriptomics of lenvatinib-resistant patient tumors and an acquired-resistance murine model identified a novel macrophage subpopulation. Functional validation employed CRISPR-SAM screening, conditioned medium (CM) assays, subcutaneous/orthotopic xenografts, patient-derived organoids (PDOs), and patient-derived xenografts (PDXs). Mechanistic studies included ChIP-qPCR, co-immunoprecipitation, and pharmacologic targeting. Clinical relevance was assessed in a retrospective cohort. Results: Resistant HCC exhibited significant enrichment of a COLEC12high TAM subset , which correlated with poor survival and treatment response. These TAMs secreted neuregulin-1 (NRG1) , activating HER2/HER3-AKT signaling in tumor cells to drive cancer stemness and lenvatinib resistance. Mechanistically, in TAMs COLEC12 sequestered STAT1 in the cytoplasm, preventing its phosphorylation, and thereby derepressing STAT3-mediated NRG1 transcription. Depletion of NRG1 reversed the stemness phenotypes and resensitized tumors to lenvatinib both in vitro and in vivo. Clinically, high NRG1 expression predicted an inferior lenvatinib response and shorter survival. Crucially, the bispecific anti-HER2/HER3 antibody zenocutuzumab restored lenvatinib efficacy in PDOs, PDXs, and murine models. Conclusions Our work establishes the COLEC12high TAM/NRG1 axis as a master regulator of therapeutic resistance and identifies NRG1 as a predictive biomarker, providing a clinically actionable strategy to overcome lenvatinib resistance in HCC.

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.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

This study reports a new species of Culicoides(Avaritia)isolated from Xunke County, Heilongjiang Province, China. The new species, Culicoides(Avaritia)dongshanensis Liu et Wang, sp. nov., was identified and illustrated based on female adults. Its diagnostic characteristics are as follows: eyes contiguous over a short distance, with short interfacetal hair, antennal ratio(AR)of 1.20, palpal ratio(PR)of 2.16, wing length of 0.83 mm, mandible with 15 teeth, one pale spot in base cell M1, one pale spot in cell M4, two pale spots in cell A, and two unequal spermathecae. Type specimens were deposited at the Center for Disease Control and Prevention of the Northern Theater Command.

Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR＞1.68 and diagnosed with cM0(i+)], Group B [LNLR＞1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.

The angiogenic response is essential for the repair of ischemic brain tissue. Integrin α6 (Itga6) expression has been shown to increase under hypoxic conditions and is expressed exclusively in vascular structures; however, its role in post-ischemic angiogenesis remains poorly understood. In this study, we demonstrate that mice with endothelial cell-specific knockout of Itga6 exhibit reduced neovascularization, reduced pericyte coverage on microvessels, and accelerated breakdown of microvascular integrity in the peri-infarct area. In vitro, endothelial cells with ITGA6 knockdown display reduced proliferation, migration, and tube-formation. Mechanistically, we demonstrated that ITGA6 regulates post-stroke angiogenesis through the PI3K/Akt-eNOS-VEGFA axis. Importantly, the specific overexpression of Itga6 in endothelial cells significantly enhanced neovascularization and enhanced the integrity of microvessels, leading to improved functional recovery. Our results suggest that endothelial cell Itga6 plays a crucial role in key steps of post-stroke angiogenesis, and may represent a promising therapeutic target for promoting recovery after stroke.
Animals ; Nitric Oxide Synthase Type III/metabolism* ; Mice ; Proto-Oncogene Proteins c-akt/metabolism* ; Integrin alpha6/genetics* ; Endothelial Cells/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Stroke/pathology* ; Vascular Remodeling/physiology* ; Vascular Endothelial Growth Factor A/metabolism* ; Mice, Knockout ; Signal Transduction/physiology* ; Mice, Inbred C57BL ; Male ; Neovascularization, Physiologic/physiology*

Neuropathic pain is frequently comorbidity with cognitive deficits. Neuralized1 (Neurl1)-mediated ubiquitination of CPEB3 in the hippocampus is critical in learning and memory. However, the role of Neurl1 in the cognitive impairment in neuropathic pain remains elusive. Herein, we found that lumbar 5 spinal nerve ligation (SNL) in male rat-induced neuropathic pain was followed by learning and memory deficits and LTP impairment in the hippocampus. The Neurl1 expression in the hippocampal CA1 was decreased after SNL. And this decrease paralleled the reduction of ubiquitinated-CPEB3 level and reduced production of GluA1 and GluA2. Overexpression of Neurl1 in the CA1 rescued cognitive deficits and LTP impairment, and reversed the reduction of ubiquitinated-CPEB3 level and the decrease of GluA1 and GluA2 production following SNL. Specific knockdown of Neurl1 or CPEB3 in bilateral hippocampal CA1 in naïve rats resulted in cognitive deficits and impairment of synaptic plasticity. The rescued cognitive function and synaptic plasticity by the treatment of overexpression of Neurl1 before SNL were counteracted by the knockdown of CPEB3 in the CA1. Collectively, the above results suggest that the downregulation of Neurl1 through reducing CPEB3 ubiquitination and, in turn, repressing GluA1 and GluA2 production and mediating synaptic plasticity impairment in hippocampal CA1 leads to the genesis of cognitive deficits in neuropathic pain.
Animals ; Male ; Neuralgia/metabolism* ; Rats ; Down-Regulation/physiology* ; Ubiquitination/physiology* ; Neuronal Plasticity/physiology* ; Rats, Sprague-Dawley ; CA1 Region, Hippocampal/metabolism* ; Cognitive Dysfunction/metabolism* ; RNA-Binding Proteins/metabolism* ; Receptors, AMPA/metabolism*

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.

Objective To investigate the relationship between polymorphisms at the rs3093030 and rs5498 loci of the intercellular adhesion molecule-1(ICAM-1)gene in combination with high sensitive C-reactive protein(hs-CRP)and susceptibility to type 2 diabetes mellitus complicated with HTN(T2MH)susceptibility.Methods 200 newly diagnosed T2DM patients,175 T2MH patients and 200 healthy controls from Affiliated Hospital of Guilin Medical University between September 2021 and January 2022.Single nucleotide polymorphisms(SNP)-scan high-throughput technology was used to detect the genotyping of serum rs3093030 and rs5498 polymorphisms in the study subjects and to detect hs-CRP levels in peripheral plasma to analysed and explore the correlation between them and the development of T2MH.Results The peripheral blood hs-CRP expression level of patients in the T2MH group[2.65(1.18,6.50)mg/L]was significantly higher than that in the T2DM group[1.82(0.80,4.48)mg/L]and healthy controls[1.02(0.54,2.29)mg/L],and the differences were statistically significant(Z=-2.729,-7.132,all P<0.001).After population classification by genotype,it was found that compared with healthy controls,rs3093030 CC(Z=-3.912,-5.800),rs5498 AA(Z=-3.293,-4.944)and AG(Z=-3.275,-4.872)genotypes had significantly higher hs-CRP levels.The peripheral blood hs-CRP levels of patients with rs3093030 CT genotype in the T2MH group were significantly higher than that of healthy controls(Z=-3.987),and the differences was statistically significant(all P<0.001),respectively.Meanwhile,regression analysis showed that HS-CRP was a risk factor for both T2MH group and healthy control group(OR=1.181,95%CI=1.095～1.274,P<0.001).Conclusion There is a correlation between ICAM-1 gene rs3093030 and rs5498 polymorphisms combined with hs-CRP levels in peripheral blood and the pathogenesis of T2MH patients.

Objective:To explore a factor analysis method for job training needs based on "P4 medicine", and to provide evidence-based support for optimizing continuing education systems for medical staff in military rest homes and sanatoriums.Methods:A cross-sectional study was conducted with 95 medical staff from military rest homes and sanatoriums within the support system who participated in job training at Xinqiao Hospital. A structured questionnaire was developed based on the "P4 medicine" framework. After two rounds of Delphi expert consultation, 46 core indicators were selected. A principal component analysis was used to extract common factors, and a model of hierarchical needs was constructed by combining varimax rotation and entropy weight methods.Results:Four common factors were extracted, accounting for 81.564% cumulative variance. The first factor "dynamic updating of geriatric medical knowledge" (31.83%) covered clinical core competencies in managing geriatric comorbidities and recognizing critical values. The second factor "emergency responsiveness and personalized care" (26.05%) focused on military medical regulations, emergency treatment protocols, and tailored interventions. The third factor "multidisciplinary collaboration and leadership development" (12.41%) emphasized team reorganization in combat-ready scenarios. The fourth factor "integration of intelligent technologies" (11.29%) reflected data-driven decision-making needs. Entropy weight analysis highlighted dynamic medical knowledge updates (e.g., emergency skills with a weight of 0.050) and AI applications with a weight of 0.019 among the top 10% high-weight indicators.Conclusions:The "P4 medicine" effectively delineates the multidimensional training needs of grassroots medical personnel. Its four-dimensional structure (predictive, normative, collaborative, and innovative) provides a theoretical framework for curriculum design. We recommend constructing tiered training modules prioritizing technology-enabled mechanisms to enhance the precision and sustainability of geriatric healthcare services.