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.

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

ObjectiveTo validate the therapeutic effect of Yinqi Sanhuang Jiedu decoction （YQSH） on a mouse model of carbon tetrachloride （CCl₄）-induced liver fibrosis and to investigate its correlations with the Piezo-type mechanosensitive ion channel component 1 （Piezo1）-Yes-associated protein （YAP） mechanical signaling axis and macrophage polarization. MethodsFifty-four C57BL/6J mice were randomized into a blank control group， a 4-week model group， a 6-week model group， a 8-week model group， a positive drug （silymarin， 55 mg·kg^-1·d^-1） group， and low-， medium-， and high-dose （8.325， 16.65， 33.3 g·kg^-1·d^-1， respectively） YQSH groups. Except the 6-week model group （n=12）， each of the other groups had 6 mice. Mice in other groups except the blank control group received intraperitoneal injections of 10% CCl₄ twice weekly for the modeling of liver fibrosis. Drug interventions began one week after the initial modeling through gavage， and the blank control and model groups received 0.2 mL of normal saline via gavage. The histopathological changes and collagen deposition in the liver were observed via hematoxylin-eosin （HE）， Masson's trichrome， and Sirius red staining. Serum activities of alanine aminotransferase （ALT） and aspartate aminotransferase （AST）， as well as serum levels of total protein （TP）， albumin （ALB）， total bilirubin （TBIL）， hyaluronic acid （HA）， laminin （LN）， procollagen type Ⅲ （PCⅢ）， and collagen type Ⅳ （Ⅳ-C）， were measured. The levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in the liver tissue were determined by enzyme-linked immunosorbent assay （ELISA）. The protein and mRNA levels of Piezo1 and YAP1 in the liver tissue were determined by immunohistochemistry （IHC） and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， respectively. Co-localization of Piezo1 with YAP1， and YAP1 with inducible nitric oxide synthase （iNOS） was observed by the immunofluorescence （IF） assay. The proportions of M1-type （F4/80⁺CD80⁺） and M2-type （F4/80⁺CD206⁺） macrophages in the liver tissue were examined by flow cytometry. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses and gene set enrichment analysis （GSEA） were performed through transcriptomic sequencing. ResultsCompared with the blank control group， the model group exhibited gradually worsened liver fibrosis at the 4^th， 6^th， and 8^th weeks. The 6- and 8-week model groups showcased inflammatory cell infiltration and collagen deposition in the liver （P<0.01） and upregulated protein levels of both Piezo1 and YAP1 （P<0.01）. Compared with the model groups， treatment with YQSH improved the liver function （P<0.05， P<0.01）， alleviated liver fibrosis （P<0.05， P<0.01）， and reduced intrahepatic inflammatory cell infiltration and collagen deposition （P<0.01）. Furthermore， the treatment downregulated the protein and mRNA levels of Piezo1 and YAP1 （P<0.05， P<0.01）， lowered the levels of inflammatory factors TNF-α and IL-1β （P<0.05， P<0.01）， and decreased the ratio of CD80 （M1-type）/CD206 （M2-type） macrophage proteins （P<0.01）. The IF assay showed co-localization of YAP1 with Piezo1 and iNOS. Compared with the model groups， YQSH treatment downregulated the expression of Piezo1， YAP1， and iNOS （P<0.05， P<0.01）. Transcriptomic analysis suggested that the anti-liver fibrosis effect of YQSH may be related to the Hippo signaling pathway （P<0.05）. ConclusionThe anti-liver fibrosis effect of YQSH may be related to its inhibition of the Piezo1-YAP signaling axis and regulation of macrophage polarization.

ObjectiveTo validate the therapeutic effect of Yinqi Sanhuang Jiedu decoction （YQSH） on a mouse model of carbon tetrachloride （CCl₄）-induced liver fibrosis and to investigate its correlations with the Piezo-type mechanosensitive ion channel component 1 （Piezo1）-Yes-associated protein （YAP） mechanical signaling axis and macrophage polarization. MethodsFifty-four C57BL/6J mice were randomized into a blank control group， a 4-week model group， a 6-week model group， a 8-week model group， a positive drug （silymarin， 55 mg·kg^-1·d^-1） group， and low-， medium-， and high-dose （8.325， 16.65， 33.3 g·kg^-1·d^-1， respectively） YQSH groups. Except the 6-week model group （n=12）， each of the other groups had 6 mice. Mice in other groups except the blank control group received intraperitoneal injections of 10% CCl₄ twice weekly for the modeling of liver fibrosis. Drug interventions began one week after the initial modeling through gavage， and the blank control and model groups received 0.2 mL of normal saline via gavage. The histopathological changes and collagen deposition in the liver were observed via hematoxylin-eosin （HE）， Masson's trichrome， and Sirius red staining. Serum activities of alanine aminotransferase （ALT） and aspartate aminotransferase （AST）， as well as serum levels of total protein （TP）， albumin （ALB）， total bilirubin （TBIL）， hyaluronic acid （HA）， laminin （LN）， procollagen type Ⅲ （PCⅢ）， and collagen type Ⅳ （Ⅳ-C）， were measured. The levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in the liver tissue were determined by enzyme-linked immunosorbent assay （ELISA）. The protein and mRNA levels of Piezo1 and YAP1 in the liver tissue were determined by immunohistochemistry （IHC） and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， respectively. Co-localization of Piezo1 with YAP1， and YAP1 with inducible nitric oxide synthase （iNOS） was observed by the immunofluorescence （IF） assay. The proportions of M1-type （F4/80⁺CD80⁺） and M2-type （F4/80⁺CD206⁺） macrophages in the liver tissue were examined by flow cytometry. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses and gene set enrichment analysis （GSEA） were performed through transcriptomic sequencing. ResultsCompared with the blank control group， the model group exhibited gradually worsened liver fibrosis at the 4^th， 6^th， and 8^th weeks. The 6- and 8-week model groups showcased inflammatory cell infiltration and collagen deposition in the liver （P<0.01） and upregulated protein levels of both Piezo1 and YAP1 （P<0.01）. Compared with the model groups， treatment with YQSH improved the liver function （P<0.05， P<0.01）， alleviated liver fibrosis （P<0.05， P<0.01）， and reduced intrahepatic inflammatory cell infiltration and collagen deposition （P<0.01）. Furthermore， the treatment downregulated the protein and mRNA levels of Piezo1 and YAP1 （P<0.05， P<0.01）， lowered the levels of inflammatory factors TNF-α and IL-1β （P<0.05， P<0.01）， and decreased the ratio of CD80 （M1-type）/CD206 （M2-type） macrophage proteins （P<0.01）. The IF assay showed co-localization of YAP1 with Piezo1 and iNOS. Compared with the model groups， YQSH treatment downregulated the expression of Piezo1， YAP1， and iNOS （P<0.05， P<0.01）. Transcriptomic analysis suggested that the anti-liver fibrosis effect of YQSH may be related to the Hippo signaling pathway （P<0.05）. ConclusionThe anti-liver fibrosis effect of YQSH may be related to its inhibition of the Piezo1-YAP signaling axis and regulation of macrophage polarization.

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.

Objective To explore the relationship the changes of Doppler ultrasound parameters before and after thrombolytic therapy in the patients with acute lower extremity deep venous thrombosis and the prognosis.Methods A total of 100 patients with acute lower extremity deep venous thrombosis from Decem-ber 2022 to December 2024 were enrolled,given the thrombolytic therapy and received Doppler ultrasound ex-amination before and after treatment.The sonographic manifestations of the affected side detected by color Doppler ultrasound before treatment were statistically analyzed,and the changes of Doppler ultrasound param-eters of the affected side[end-diastolic velocity(EDV),peak systolic velocity(PSV),vascular resistance index(RI),vascular diameter at the lesion site]were compared between before and after treatment.According to whether pulmonary embolism occurred after thrombolysis,the patients were divided into the embolization group(n=29)and non-embolization group(m=71).The Doppler ultrasound parameters of the affected side before treatment were compared between the two groups.The binary logistic equation was adopted to analyze the related influencing factors of pulmonary embolism occurrence in the patients.The receiver operating char-acteristic(ROC)curve was used to analyze the predictive value of ultrasound parameters on pulmonary em-bolism.Results After thrombolytic therapy for the affected limb with acute lower extremity deep venous thrombosis,EDV,PSV and vascular diameter at the lesion site were decreased significantly,RI was increased significantly(P＜0.05).Before treatment,EDV.PSV,vascular diameter and the proportion of thrombus grade Ⅳ at the lesion site in the embolization group were significantly higher than those in the non-emboliza-tion group,the RI was significantly lower than that in the non-embolization group(P＜0.05).EDV,PSV,RI and the vascular diameter at the lesion site all were related to the occurrence of pulmonary embolism(P＜0.05).The areas under the curves(AUC)of SEDV,PSV,RI and vascular diameter at the lesion site in predic-ting the pulmonary embolism occurrence in the patients with acute lower extremity deep venous thrombosis were 0.690,0.717,0.649 and 0.662 respectively.The AUC of the 4-items combination in diagnosing the poor prognosis of the patients was 0.829,and the combined diagnostic value was higher.Conclusion EDV,PSV,vascular diameter and RI could predict the risk of pulmonary embolism occurrence after thrombolytic therapy in the patients with acute lower extremity deep venous thrombosis.

In recent years， the number of special clinical cases related to assisted reproductive technology （ART） for pregnancy has been on the rise annually. For example， gamete donation， assisted reproduction for couples of advanced maternal ages， and the ownership and disposition of embryos when one or both partners pass away， all involve the health of offspring and conflicts of interest in the implementation of ART. Although China’s ethical principles for ART include the protection of the offspring， the detailed rules are vague and urgently need to be supplemented and improved. In addition， the clinical application of ART lacks legislative collaborative governance. The corresponding administrative departments， practitioners， and infertile couples should work together. Starting from the perspective of focusing on the well-being of offspring born from the clinical application of ART， while conducting clinical research to address technical challenges， efforts should be made to overcome ethical dilemmas in the application of technology， comprehensively consider the well-being of offspring born from assisted reproductive treatments and help them seek the best care to promote their healthy growth.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.