Lung cancer still ranks first among malignant tumors in the world and China. Although surgery， radiotherapy， chemotherapy， and other treatments can delay patients' lives， thorny problems remain to be solved， such as adverse reactions after intervention， patient resistance to treatment， and the economic burden of treatment. Traditional Chinese medicine （TCM） featuring a holistic view advocates macro interventions throughout the entire disease cycle， which has the advantages of reducing toxicity， improving efficiency， and enhancing patients' quality of life. The theory of ''sensation and response'' was first recorded in the book of I-Ching. This is the natural law of mutual induction， influence， and interaction among all things in nature. According to the theory of ''Qi monism'' and the proposal of regulating Qi movement and removing toxin by Professor Hua Baojin， we re-examine lung cancer from the primitive thinking in TCM and explain the relevance of Qi movement changes to the occurrence， progression， and treatment of lung cancer. The core pathogeneses of lung cancer are the deficiency of healthy Qi and invasion of deficiency pathogen resulting in the formation of cancer and the internal generation of cancer toxin leading to intermediate dysfunction. Six excesses and Yin pathogen invade and gradually accumulate in the lung and spleen， leading to the generation of cancer toxin， which eventually evolve into lung cancer. The treatment can be based on the theories of five elements and visceral manifestation from three aspects. First， on the basis of syndrome differentiation， medicinal materials of different flavors can be used. Specifically， pungent medicinal materials can be used for dredging and sweet medicinal materials can be used for tonifying. Second， medicinal materials with similar morphology or origin to that in the human body can be used for treating the diseases in corresponding sites. Finally， corrigent medicinal materials can be combined for two-way regulation. These measures can be applied in lung cancer treatment to optimize the prevention and treatment strategies and provide new research directions for TCM diagnosis and treatment of tumors.

Dry eye disease is a chronic ocular surface disorder of multifactorial origin, characterized by a loss of tear film homeostasis and associated with a range of ocular discomfort symptoms. Growing evidence underscores a significant bidirectional relationship between dry eye and depression: individuals with dry eye disease exhibit a higher prevalence of depressive disorders, and conversely, those diagnosed with depression demonstrate an increased susceptibility to developing dry eye. This interplay is mediated through several pathophysiological pathways, such as chronic inflammation, cerebral functional alterations, gut microbiome dysregulation, and sleep disturbances, which may collectively sustain a vicious cycle. The use of antidepressant therapy introduces further complexity, exerting heterogeneous effects on dry eye—some agents may offer symptomatic relief, whereas others can aggravate ocular surface impairment. The mechanisms responsible for these differential outcomes remain incompletely elucidated and merit further investigation. This review systematically consolidates epidemiological data on the dry eye-depression link, examines potential shared pathological mechanisms, and evaluates current therapeutic options. We propose an integrated management approach that combines conventional dry eye treatments, such as traditional Chinese medicine, electroacupuncture, physical activity and antidepressants—a multimodal strategy that may yield synergistic benefits in alleviating both ocular and affective symptoms, thereby improving overall quality of life. Moving forward, research should focus on deciphering the underlying mechanistic pathways and facilitating the translation of these insights into clinical practice to inform targeted, combined treatment regimens for patients with dry eye and depression.

Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

OBJECTIVE To investigate the effects of Mitoxantrone liposomes （Lipo-MIT） on the proliferation， migration and cancer stem cell （CSCs） stemness of ovarian cancer cells， as well as to explore its mechanism of action based on the phosphoinositide 3-kinase （PI3K）/protein kinase B （AKT） pathway. METHODS The effects of Lipo-MIT on cell proliferation， migration and the stemness characteristics of CSCs were investigated through in vitro experiments. A human ovarian cancer A2780 cells xenograft tumor model of nude mouse was established to explore the effects of Lipo-MIT at doses of 2 and 5 mg/kg on the safety of tumor-bearing mice， as well as in vivo tumor growth and the pathological characteristics of tumor tissues. The influence of Lipo-MIT on the expression levels of PI3K/AKT pathway-related proteins， epithelial-mesenchymal transition related proteins， and stemness related proteins in both cells and tumor tissues was also investigated. RESULTS The half maximal inhibitory concentrations of Lipo-MIT against A2780， SK-OV3， and OV-CAR5 cells were 0.72， 5.41， and 2.77 μmol/L， respectively. Compared with solvent control （0.1% dimethyl sulfoxide）， 0.5-2.5 μmol/L Lipo-MIT significantly reduced the cell colony formation rate， shortened the cell migration distance， decreased the number of migrated cells， down-regulated the protein expression of N-cadherin， up-regulated the protein expression of E-cadherin （P＜0.05）， and also decreased the stem cell sphere formation frequency and down-regulated the protein expression of aldehyde dehydrogenase 1A1 （ALDH1A1） （P＜0.05）. Additionally， 1.0 and 2.5 μmol/L Lipo-MIT significantly reduced the stem cell sphere formation probability and down-regulated the protein expression of sex determining region Y box protein 2 in cells （P＜0.05）. In vivo experimental results demonstrated that 2， 5 mg/kg Lipo-MIT had no significant effects on the body weight， food intake， water intake， and organ （heart， liver， spleen， lung， and kidney） indices of tumor-bearing nude mice （P＞0.05）， but could significantly improve the pathological changes of tumor tissues and remarkably inhibit the protein expressions of N-cadherin， CD133 and ALDH1A1（ only at 5 mg/kg Lipo-MIT）， up-regulate the expression of E- cadherin （only at 5 mg/kg Lipo-MIT） in tumor tissues （P＜0.05）. Lipo-MIT at different concentrations/doses significantly reduced the phosphorylation levels of PI3K and AKT proteins in cells/tumor tissues （P＜0.05）. CONCLUSIONS Lipo-MIT can inhibit the proliferation and migration of ovarian cancer cells and the stemness by suppressing the activity of the PI3K/AKT pathway.

Objective To explore the feasibility of recombinant factor C(rFC) method for quantitative detection of bacterial endotoxin in recombinant SARS-CoV-2 vaccine(CHO cells), and to provide more basis for the application of this method.Methods The standard curve of bacterial endotoxin was plotted by rFC method reagent, the dilution factor was determined through interference pre-experiment, the recovery rate of spiked endotoxin in the test solution was determined, and the quantitative detection test of bacterial endotoxin content in the test product was completed. The effect of aluminum adjuvant content on endotoxin detection was investigated, and the results were compared with those of the kinetic chromogenic assay and the gel clotting method described in current pharmacopeia.Results The linear range of the standard curve was 0. 05-50 EU/mL. The test sample diluted 50, 100 and 200 times did not interfere with the reaction, and the recovery rate of bacterial endotoxin fell in the range of 50% to 200%. The endotoxin quantitative test results of the three batches of test products all met the requirements, and were consistent with the gel clotting method. The Correl function correlation coefficient between aluminum adjuvant content an d endotoxin recovery rate determined by rFC method was-0. 828 3,showing a strong negative correlation.Conclusion The rFC method can be used for the quantitative detection of bacterial endotoxin in recombinant SARS-CoV-2 vaccine(CHO cells), with accurate results and high precision, and can reduce or even eradicate the usage of limulus resources, conforming to the 3R principle of world animal welfare.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

With the development of artificial intelligence， machine learning has shown great potential in the field of medical health. Machine learning conducts a comprehensive analysis of patient data including clinical features， blood tests， and imaging examinations and establishes corresponding mathematical models to achieve the diagnosis and treatment of diseases and the prediction of disease conditions， thereby guiding disease management. With reference to the latest research findings， this article reviews the application of machine learning in chronic hepatitis C and related research advances.

ObjectiveTo investigate the effects of modified Ditan tang on genes related to the transcription-translation feedback loop （TTFL） of biorhythm in the rat model of non-alcoholic fatty liver disease （NAFLD） and its mechanism for prevention and treatment of NAFLD. MethodsSixty-five healthy SPF male SD rats were randomly assigned into blank （n=20）， model （n=15）， and low-， medium-， and high-dose （2.68， 5.36， and 10.72 g·kg^-1·d^-1， respectively） modified Ditan tang （n=10） groups. Other groups except the blank group were fed a high-fat diet for 12 weeks. The modified Ditan tang groups were treated with the decoction at corresponding doses by gavage， and the blank and model groups were treated with an equal volume of normal saline from the 9th week for 4 weeks. The levels of triglyceride （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in the serum were measured by an automatic biochemical analyzer. TG and non-esterified fatty acid （NEFA） assay kits were used to measure the levels of TG and NEFA in the liver. The pathological changes in the hypothalamus and liver were observed by hematoxylin-eosin staining， and the lipid deposition in the liver was observed by oil red O staining. The levels of brain-muscle ARNT-like protein 1 （BMAL1/ARNTL） in the hypothalamus and liver were determined by immunohistochemical staining. The mRNA and protein levels of BMAL1， circadian locomotor output cycles kaput （CLOCK）， period circadian clock 2 （PER2）， and cryptochrome1 （Cry1） in the hypothalamus and liver were determined by Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed elevated levels of TG， TC， LDL-C， AST， and ALT （P<0.01） and a lowered level of HDL-C （P<0.05） in the serum， elevated levels of TG and NEFA in the liver （P<0.01）， pyknosis and deep staining of hypothalamic neuron cells， and a large number of vacuoles in the brain area. In addition， the model group showed lipid deposition in the liver， up-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.01）， and down-regulated mRNA and protein levels of Cry1 and PER2 （P<0.01） in the hypothalamus and liver. Compared with the model group， all the three modified Ditan tang groups showed lowered levels of TG， TC， LDL-C， ALT， and AST （P<0.05， P<0.01） and an elevated level of HDL-C （P<0.05） in the serum， and lowered levels of TG and NEFA （P<0.05， P<0.01） in the liver. Furthermore， the three groups showed alleviated pyknosis and deep staining of hypothalamic neuron cells， reduced lipid deposition in the liver， down-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.05， P<0.01）， and up-regulated mRNA and protein levels of Cry1 and PER2 （P<0.05， P<0.01） in the hypothalamus and liver. ConclusionModified Ditan tang can reduce lipid deposition in the liver and regulate the expression of CLOCK， BMAL1， Cry1， and PER2 in the TTFL of NAFLD rats.

As one of the most delicate surgeries in the whole body, vitreoretinal surgery requires a high degree of refinement and stability of the surgeon's operation due to the limitation of the operating space, and the fact that any subtle surgical trauma can lead to serious visual function damage. Surgical robots can significantly improve the precision and safety of the vitreoretinal surgical procedures and have good application prospects. As an emerging technology, in recent years, scholars at home and abroad have carried out a lot of research on the surgical robot in the surgical treatment of vitreoretinal diseases, and have achieved certain research results. Starting from the development history of surgical robots, this review analyzes and summarizes the safety and stability of surgical robots assisted retinal endovascular surgery, subretinal injection, macular surgery and real-time manipulation of retinal laser photocoagulation, briefly generalized the challenges that surgical robots still faced, and aim to provide more research directions of surgical robots in the treatment of vitreoretinal diseases.

As one of the most delicate surgeries in the whole body, vitreoretinal surgery requires a high degree of refinement and stability of the surgeon's operation due to the limitation of the operating space, and the fact that any subtle surgical trauma can lead to serious visual function damage. Surgical robots can significantly improve the precision and safety of the vitreoretinal surgical procedures and have good application prospects. As an emerging technology, in recent years, scholars at home and abroad have carried out a lot of research on the surgical robot in the surgical treatment of vitreoretinal diseases, and have achieved certain research results. Starting from the development history of surgical robots, this review analyzes and summarizes the safety and stability of surgical robots assisted retinal endovascular surgery, subretinal injection, macular surgery and real-time manipulation of retinal laser photocoagulation, briefly generalized the challenges that surgical robots still faced, and aim to provide more research directions of surgical robots in the treatment of vitreoretinal diseases.