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.

BACKGROUND:The phosphatidylinositol 3-kinase/protein kinase(PI3K/AKT)signaling pathway plays a pivotal role in regulating osteoclast activation,which is essential for maintaining bone homeostasis.Bone destruction in osteoarticular tuberculosis is caused by aberrant osteoclastogenesis induced by Mycobacterium tuberculosis infection.However,the role of the PI3K signaling pathway in Mycobacterium tuberculosis-induced aberrant osteoclastogenesis remains unclear. OBJECTIVE:To investigate the effects and mechanisms of the PI3K/AKT signaling pathway inhibitor BYL-719 on aberrant osteoclastogenesis induced by Mycobacterium tuberculosis. METHODS:RAW264.7 cells were infected with bovine Mycobacterium tuberculosis bacillus calmette-cuerin vaccine,and Ag85B was used for cellular immunofluorescence staining.The cell counting kit-8 assay was employed to determine the safe concentration of BYL-719.There were four groups in the experiment:blank control group,BYL-719 group,BCG group,and BCG+BYL-719 group.Under the induction of receptor activator of nuclear factor kappa-B ligand,the effects of BYL-719 on post-infection osteoclast differentiation and fusion were explored through tartrate-resistant acid phosphatase staining and phalloidin staining.RT-PCR and western blot were used to detect the expression of osteoclast-related genes and proteins,and further investigate the mechanism of action. RESULTS AND CONCLUSION:Immunofluorescence staining showed that RAW264.7 cells phagocytosed Mycobacterium tuberculosis.Cell counting kit-8 data indicated that 40 nmol/L BYL-719 was non-toxic to cells.Tartrate-resistant acid phosphatase staining and phalloidin staining showed that BYL-719 inhibited the generation and fusion ability of osteoclasts following infection.RT-PCR and western blot results also indicated that BYL-719 suppressed the upregulation of osteoclast-specific genes(including c-Fos,NFATc1,matrix metalloproteinase 9,and CtsK)induced by Mycobacterium tuberculosis infection(P<0.05).Western blot and immunofluorescence staining revealed that BYL-719 inhibited excessive osteoclast differentiation induced by Mycobacterium tuberculosis by downregulating the expression of IκBα-p65.To conclude,BYL-719 inhibits aberrant osteoclastogenesis induced by Mycobacterium tuberculosis through the downregulation of IκBα/p65.Therefore,the IκBα/p65 signaling pathway is a potential therapeutic target for osteoarticular tuberculosis,and BYL-719 holds potential value for the preventing and amelioration of bone destruction in osteoarticular tuberculosis.BYL-719 has the potential to prevent and ameliorate bone destruction in osteoarticular tuberculosis.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective To explore and analyze the related factors of kinesiophobia in elderly patients with coronary heart disease (CHD) during cardiac rehabilitation exercise period, and to evaluate the effect of cognitive behavior therapy on improving kinesiophobia and promoting rehabilitation. Methods A total of 352 elderly patients with CHD admitted to the hospital were included from October 2023 to October 2024. Tampa Scale for Kinesiophobia-11 (TSK-11) was adopted to evaluate the kinesiophobia status. Patients with kinesiophobia were randomly grouped. Routine intervention (routine group, n=82) and cognitive behavior intervention (study group, n=82) were implemented respectively. The intervention effects were observed in both groups. Results Among the 352 patients, 46.59 % (164/352 ) of elderly patients with coronary heart disease had different degrees of kinesiophobia. The proportions of female, divorced/widowed, revascularization and family relationship disharmony and scores of Patient Health Questionnaire (PHQ9) and Generalized Anxiety Disorder Scale (GAD7) in patients with kinesiophobia were higher than those in patients without kinesiophobia (P<0.05) while the scores of General Self-Efficacy Scale (GSES) and Social Support Rating Scale (SSRS) were lower compared with those in patients without kinesiophobia (P<0.05). Logistic regression analysis found that female, divorced/widowed, family relationship disharmony, revascularization and scores of PHQ9, TSK-11, GAD7, GSES and SSRS were related to kinesiophobia (P<0.05). After intervention, the scores of TSK-11, PHQ9 and GAD7 in the study group were lower while the scores of GSES and SSRS, 6 min walking test distance, and cardiopulmonary exercise test peak oxygen uptake and anaerobic threshold were higher compared to the routine group (P<0.05). Conclusion The kinesiophobia in elderly patients with CHD during cardiac rehabilitation is related to gender, revascularization and psychosocial factors. Clinically, cognitive behavior intervention should be provided according to the situation and guided to carry out rehabilitation exercise regularly so as to promote improvement of cardiopulmonary function.

Objective To explore and analyze the related factors of kinesiophobia in elderly patients with coronary heart disease (CHD) during cardiac rehabilitation exercise period, and to evaluate the effect of cognitive behavior therapy on improving kinesiophobia and promoting rehabilitation. Methods A total of 352 elderly patients with CHD admitted to the hospital were included from October 2023 to October 2024. Tampa Scale for Kinesiophobia-11 (TSK-11) was adopted to evaluate the kinesiophobia status. Patients with kinesiophobia were randomly grouped. Routine intervention (routine group, n=82) and cognitive behavior intervention (study group, n=82) were implemented respectively. The intervention effects were observed in both groups. Results Among the 352 patients, 46.59 % (164/352 ) of elderly patients with coronary heart disease had different degrees of kinesiophobia. The proportions of female, divorced/widowed, revascularization and family relationship disharmony and scores of Patient Health Questionnaire (PHQ9) and Generalized Anxiety Disorder Scale (GAD7) in patients with kinesiophobia were higher than those in patients without kinesiophobia (P<0.05) while the scores of General Self-Efficacy Scale (GSES) and Social Support Rating Scale (SSRS) were lower compared with those in patients without kinesiophobia (P<0.05). Logistic regression analysis found that female, divorced/widowed, family relationship disharmony, revascularization and scores of PHQ9, TSK-11, GAD7, GSES and SSRS were related to kinesiophobia (P<0.05). After intervention, the scores of TSK-11, PHQ9 and GAD7 in the study group were lower while the scores of GSES and SSRS, 6 min walking test distance, and cardiopulmonary exercise test peak oxygen uptake and anaerobic threshold were higher compared to the routine group (P<0.05). Conclusion The kinesiophobia in elderly patients with CHD during cardiac rehabilitation is related to gender, revascularization and psychosocial factors. Clinically, cognitive behavior intervention should be provided according to the situation and guided to carry out rehabilitation exercise regularly so as to promote improvement of cardiopulmonary function.

Glioblastoma (GBM), one of the most common malignant tumors in the central nervous system (CNS), is characterized by diffuse and invasive growth as well as resistance to various combination therapies. GBM is the most prevalent type with the highest degree of malignancy and the worst prognosis. While current clinical treatments include surgical resection, radiotherapy, temozolomide chemotherapy, novel molecular targeted therapy, and immunotherapy, the median survival time of GBM patients is only about one year. Radiotherapy is one of the important treatment modalities for GBM, which relies on ionizing radiation to eradicate tumor cells. Approximately 60% to 70% of patients need to receive radiotherapy as postoperative radiotherapy or neoadjuvant radiotherapy during the treatment process. However, during radiotherapy, the radioresistant effect caused by DNA repair activation and cell apoptosis inhibition impedes the therapeutic effect of malignant glioblastoma.Ferroptosis was first proposed by Dr. Brent R. Stockwell in 2012. It is an iron-dependent mode of cell death induced by excessive lipid peroxidation. Although the application of ferroptosis in tumor therapy is still in the exploratory stage, it provides a completely new idea for tumor therapy as a novel form of cell death. Ferroptosis has played a significant role in the treatment of GBM. Specifically, research has revealed the key processes of ferroptosis occurrence, including intracellular iron accumulation, reactive oxygen species (ROS) generation, lipid peroxidation, and a decrease in the activity of the antioxidant system. Among them, glutathione peroxidase 4(GPX4) in the cytoplasm and mitochondria, ferroptosis suppressor protein 1 (FSP1) on the plasma membrane, and dihydroorotate dehydrogenase (DHODH) in the mitochondria constitute an antioxidant protection system against ferroptosis. In iron metabolism, nuclear receptor coactivator 4 (NCOA4) can mediate ferritin autophagy to regulate intracellular iron balance based on intracellular iron content. Heme oxygenase1 (HMOX1) catalyzes heme degradation to release iron and regulate ferroptosis. Radiation can trigger ferroptosis by generating ROS, inhibiting the signaling axis of the antioxidant system, depleting glutathione, upregulating acyl-CoA synthase long chain family member 4 (ACSL4), and inducing autophagy. Interestingly, some articles has documented that exposure to low doses of radiation (6 Gy for 24 h or 8 Gy for 4-12 h) can induce the expression of SLC7A11 and GPX4 in breast cancer and lung cancer cells, leading to radiation resistance, while radiation-induced ferroptosis occurs after 48 h. In contrast, high doses of ionizing radiation (20 Gy and 50 Gy) increase lipid peroxidation after 24 h. This suggests that radiation-induced oxidative stress is a double-edged sword that can regulate ferroptosis in both directions, and the ultimate fate of cells after radiation exposure——developing resistance and achieving homeostasis or undergoing ferroptosis——depends on the degree and duration of membrane lipid damage caused by the radiation dose. In addition, during the process of radiotherapy, methods such as inducing iron overload, damaging the antioxidant system, and disrupting mitochondrial function are used to target ferroptosis, thereby enhancing the radiosensitivity of glioblastoma. By promoting the occurrence of ferroptosis in tumor cells as a strategy to improve radiotherapy sensitivity, we can enhance the killing effect of ionizing radiation on tumor cells, thus providing more treatment options for patients with glioblastoma. In this paper, we reviewed ferroptosis and its mechanism, analyzed the molecular mechanism of radiation-induced ferroptosis, and discussed the effective strategies to regulate ferroptosis in enhancing the sensitivity of radiotherapy, with a view to providing an important reference value for improving the current status of glioblastoma treatment.

ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.

Objective:To construct a eukaryotic expression vector for bacteriophage D29 LysinB/Holin fusion protein and study its bactericidal efficacy against Mycobacterium tuberculosis ( Mtb) in a cell infection model. Methods:A recombinant plasmid pET32a-LysinB was constructed and induced to express LysinB. The polyclonal antibody against LysinB was prepared after the purification of LysinB. A recombinant plasmid pcDNA3.1(+ )-LysinB/Holin was constructed and transfected into mononuclear macrophages RAW264.7. After the expression of the prepared polyclonal antibody was identified, a cell infection model was established and the bactericidal efficacy of LysinB/Holin fusion protein was measured by acid-fast staining and colony counting.Results:The polyclonal antibody against LysinB was successfully prepared. The recombinant plasmid pcDNA3.1(+ )-LysinB/Holin could effectively express LysinB/Holin fusion protein in eukaryotic cells without inducing significant cytotoxicity. LysinB/Holin fusion protein was effective in killing Mtb in cells. Conclusions:The recombinant plasmid pcDNA3.1(+ )-LysinB/Holin has a better killing effect on intracellular Mtb without inducing obvious cytotoxicity against eukaryotic cells, showing a potential in the treatment of tuberculosis.