The thyroid gland is the largest endocrine organ in the human body， and its dysfunction can cause varying degrees of liver injury， leading to liver failure in severe cases. Patients with hyperthyroidism have a relatively high incidence rate of liver dysfunction， manifesting as hepatocellular injury or cholestatic liver injury， while hypothyroidism is closely associated with metabolic dysfunction-associated fatty liver disease. Autoimmune thyroid diseases， including Hashimoto’s thyroiditis and subacute thyroiditis， are commonly comorbid with autoimmune liver disease. In addition， medications such as antithyroid drugs， amiodarone， and immune checkpoint inhibitors can cause severe liver injury through direct toxicity or immune-mediated mechanisms. Although significant progress has been achieved in related diagnosis and treatment techniques in recent years， there are still many challenges in pathogenesis， individualized treatment strategies， early warning， and prognostic evaluation. This article systematically reviews the research advances in liver injury associated with thyroid dysfunction and proposes the directions for future research， in order to provide guidance for clinical diagnosis and treatment.

Diabetic retinopathy （DR） is a microvascular complication of diabetes and one of its most common complications. Prolonged hyperglycemia induces oxidative stress， inflammatory responses， apoptosis， and pathological angiogenesis， ultimately disrupting the blood-retinal barrier（BRB） and leading to visual impairment or even blindness. Recent studies show that the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway plays an important role in the development of DR's pathological changes. Meanwhile， Chinese herbal monomers have been shown to modulate the Nrf2 signaling pathway， thereby intervening in the development of DR. In terms of inhibiting oxidative stress， saponin compounds such as platycodin-D and ginsenoside Rb1 downregulate the expression of malondialdehyde （MDA）， thereby ameliorating retinal oxidative stress. Flavonoids such as total flavonoids from Pueraria lobata flower and puerarin upregulate the expression of superoxide dismutase （SOD） and glutathione peroxidase （GPx）， effectively clearing lipid peroxides. Regarding the suppression of inflammation， phenolic compounds like resveratrol and chlorogenic acid inhibit the nuclear factor kappa B （NF-κB） pathway， reducing the release of tumor necrosis factor-alpha （TNF-α） and mitigating inflammatory responses. In the context of inhibiting apoptosis， polysaccharides such as Polygonatum sibiricum polysaccharide and Angelica sinensis polysaccharide downregulate the expression of the pro-apoptotic protein Bcl-2-associated X protein （Bax） and suppress the activity of the executioner Caspase-3， thereby reducing the apoptosis rate. As for the inhibition of neovascularization， compounds including bilobalide and physcion significantly decrease the protein expression of vascular endothelial growth factor （VEGF）， leading to a reduction in retinal pathological angiogenesis. Furthermore， Chinese herbal compound prescriptions such as Tongluo Zhujing pills， Yiqi Huoxue Yangyin decoction， Qiming granules， and Danlou tablets can also intervene in the onset and progression of DR through the mechanisms described above. In summary， both Chinese herbal monomers and Chinese herbal compound prescriptions can modulate the Nrf2 signaling pathway to inhibit oxidative stress， alleviate inflammation， and participate in maintaining BRB integrity， suppressing retinal neovascularization， and preventing neurodegeneration， thereby delaying the progression of DR. Therefore， this paper reviews and summarizes recent studies at home and abroad on how traditional Chinese medicine （TCM） works to treat DR， and the relationship between the Nrf2 pathway and DR. It aims to provide research ideas for preventing and treating DR.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

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.

Effective symptom management can alleviate the physical and psychological distress experienced by patients with cancer, improve quality of life, and contribute to treatment adherence and improve clinical outcomes. However, most existing guidelines are developed for healthcare professionals, and patients and the public have limited access to standardized and comprehensible guidance on symptom management. To address this gap and to facilitate effective communication and shared decision-making, this study proposes the development of a patient version of the cancer symptom management guideline. The development process will adhere to the methodological framework recommended by the Guidelines International Network and the World Health Organization. The GRADE approach will be employed to assess the certainty of evidence and to formulate recommendations. In addition, the process will be informed by the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) instrument and the Reporting Items for Practice Guidelines in Healthcare-Public or Patient Versions of Guidelines (RIGHT-PVG). This protocol outlines the establishment of the guideline working group, the identification and prioritization of key questions, evidence retrieval and appraisal, and the formulation of recommendations, with the aim of ensuring methodological rigor and transparency in the development of the patient guideline and providing methodological reference for similar guideline initiatives.

Objective: To develop a RHCE genotyping assay based on kompetitive allele-specific PCR (KASP) and assess its clinical accuracy for RhCE blood group determination. Methods: KASP primers were designed to interrogate three RHCE loci: the 109 bp insertion/deletion in intron 2, c. 307T>C, and c. 676C>G. A total of 1 194 RhD-positive inpatients from Chengdu were typed by both KASP genotyping and manual tube serology. Discordant samples (n=10) were retested by both methods and further resolved by Sanger sequencing. An additional 377 cases were tested for the c. 48C>G locus to evaluate the predictive accuracy of individual loci and combined locus testing for RhC antigen. Results: Genotyping concordance with serology was 100.0% for both the c. 676C>G locus (RhE/Rhe) and the c. 307T>C locus (Rhc). For RhC prediction using the 109 bp insertion, overall accuracy was 99.7% (1 191/1 194); the 3 discordant cases were confirmed by Sanger sequencing to be false negatives attributable to 109 bp deletion in intron 2. Testing the c. 48C>G allele for RhC prediction yielded 7 false positives, with an accuracy of 98.1% (370/377). RhC antigen status was determined by combining the 109 bp insertion and the c. 48C allele. After excluding 10 samples with inconsistent results between the two loci, the accuracy reached 100% in the remaining 367 samples. When both loci were applied in combination, accuracy reached 100% in the 367 cases with concordant results. Among the 1 194 patients, CCee (45.8%) and CcEe (31.7%) were the most common RhCE phenotypes. The e antigen had the highest positivity rate (92.2%), and the Ce haplotype was the most frequent (66.9%). Conclusion: The KASP-based RHCE genotyping method achieves high accuracy for clinical RhCE typing. Combining the 109 bp insertion/deletion with the c. 48C allele significantly improves RhC antigen prediction compared with either locus alone. This method was applied to RhCE genotyping of 1 194 RhD-positive inpatients in Chengdu, providing local RhCE phenotype and haplotype distribution data to support RhCE-matched transfusion practice.

ObjectiveTo investigate the current status of assistive device use and unmet needs among persons with disabilities in Sichuan-Chongqing region, and to identify the key factors associated with satisfaction with these devices. MethodsFrom October, 2024 to February, 2025, quota sampling was adopted to recruit 1 040 persons with disabilities in Sichuan and 260 persons with disabilities in Chongqing. Telephone and online questionnaires were used to collect data on demographic characteristics, status of assistive device utilization and unmet assistive device needs, as well as satisfaction with assistive device use. Correlation analysis, multiple linear regression analysis and structural equation modeling were performed to identify key factors associated with satisfaction. ResultsA total of 1 186 valid responses were collected, of which 942 were from Sichuan Province and 244 from Chongqing Municipality. The utilization rate of assistive devices among persons with disabilities in Sichuan-Chongqing region was 61.9%, and the rate of unmet assistive device needs was 30.6%. The assistive device utilization rate of participants with agricultural household registration (57.98%) was lower than that of participants with non-agricultural household registration (66.86%). The utilization rate showed a J-shaped upward trend with the increase of educational attainment. Educational attainment (P = 0.002), perceived usefulness of assistive devices (P < 0.001), home living environment (P < 0.001), public environment (P < 0.001) and disability type (significant differences were found in visual and hearing disabilities compared with physical disability, P < 0.05) were key predictors of satisfaction with assistive device use. The impact of public environment on satisfaction was exerted through two indirect mediating paths: mediating effect via perceived usefulness of assistive devices (ind₁ = 0.357, 95%CI 0.279 to 0.437, P < 0.001), contributing approximately 70% of the total indirect effect; mediating effect via home living environment (ind₂ = 0.129, 95%CI 0.006 to 0.242, P = 0.038), contributing approximately 25% of the total indirect effect. ConclusionThere is a structural imbalance between assistive device use and demand in Sichuan-Chongqing region. People with psycho-intellectual disabilities are most likely to be excluded from the service chain because they neither perceive need nor access information. Education exerts a robust positive effect on both adoption and satisfaction, so training content must be tailored to different educational levels. Satisfaction is shaped by disability type, device usefulness and environmental factors. Future product development should therefore integrate functional and psychosocial dimensions. Priority should be given to micro-scale home-and-community accessibility retrofits before extending upward to public transportation and employment settings, to maximize the cost-effectiveness of limited funds.

Sichuan Province is a hilly schistosomiasis-endemic province in China with the highest endemicity and largest coverage. During the period of more than 70 years of integrated control, there are five distinct phases of schistosomiasis control in Sichuan Province, including baseline investigation, Oncomelania hupensis snail control, chemotherapy for both humans and livestock, management of source of Schistosoma japonicum infections, and sustained control and intensified surveillance and early warning, and a package of key interventions are implemented, including environmental modification, snail control with chemical treatment, large-scale chemotherapy for humans and livestock, management of source of S. japonicum infections, intensified integrated control, establishment of an early warning and surveillance system. As a result, schistosomiasis has been eliminated across all 63 disease-endemic counties (cities, districts) in Sichuan Province by June 2025. Government-led multi-sectoral collaborations, science and technology-supported precision control strategies, and a sustainable control model tailored to the ecological and socio-economic conditions in endemic regions are essential to achieving the target of schistosomiasis elimination in Sichuan Province.

ObjectiveTo investigate the mechanism by which Luoshi Neiyi prescription treats endometriosis （EMs） through the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway. MethodsAnimal experiments were conducted with 50 female SD rats， which were randomized into a sham operation group （10 rats） and a modeling group （40 rats）. An autologous endometrial transplantation method was used for the modeling of EMs. The 36 successfully modeled rats were randomly allocated into four groups （n=9 each）： The model group， the low-dose （7.87 g·kg^-1） Luoshi Neiyi prescription group， the high-dose （15.74 g·kg^-1） Luoshi Neiyi prescription group， and the dienogest （0.20 mg·kg^-1） group. The physiological status and ectopic lesion volumes of rats in each group were observed. Hematoxylin-eosin （HE） staining was used to observe the morphology of the eutopic endometrial tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of inflammatory factors including interleukin-1β （IL-1β） and prostaglandin E₂ （PGE₂） in the serum of EMs rats. Immunohistochemistry was used to detect the expression of matrix metalloproteinase-9 （MMP-9） and vascular endothelial growth factor A （VEGFA） in the eutopic endometrial tissue. Western blot was adopted to determine the protein levels of TLR4， myeloid differentiation factor 88 （MyD88）， phosphorylated nuclear factor-κB （p-NF-κB）/NF-κB， MMP-9， and VEGFA in the eutopic endometrial tissue. In the cell experiments， the cell-counting kit-8 （CCK-8） assay was employed to screen the optimal concentration of Luoshi Neiyi prescription-containing serum， and a scratch assay was performed to assess the migration ability of iheESCs cells. Interventions with Luoshi Neiyi prescription-containing serum， resatorvid （TAK-242， a TLR4 inhibitor）， and lipopolysaccharides （LPS， a TLR4 agonist） were conducted， and Western blot was used to detect the expression of proteins related to the TLR4/NF-κB signaling pathway. ResultsThis experiment successfully replicated 36 EMs rat models. Compared with the sham operation group， the model group exhibited visible ectopic lesions on the abdominal wall and an increase in the writhing response score （P<0.01）. Furthermore， HE staining revealed the model group exhibited a thickened eutopic epithelium， stromal cell disarrangement， and evident infiltration of inflammatory cells. In addition， the model group showed elevated serum levels of IL-1β and PGE₂ （P<0.05， P<0.01）， increased positive expression of MMP-9 and VEGFA in the ectopic endometrial tissue （P<0.01）， and up-regulated protein levels of TLR4， MyD88， p-NF-κB/NF-κB， MMP-9， and VEGFA in the ectopic endometrial tissue （P<0.05， P<0.01）. Compared with the model group， all treatment groups exhibited a reduction in the ectopic lesion volume （P<0.01）. Furthermore， the writhing response scores were decreased in the high-dose Luoshi Neiyi prescription group and the dienogest group （P<0.05， P<0.01）. The pathological state of the ectopic endometrial tissue was alleviated to varying degrees in the treatment groups. Low-dose Luoshi Neiyi prescription reduced serum PGE₂ levels， and high-dose Luoshi Neiyi prescription and dienogest decreased serum IL-1β and PGE₂ levels in EMs rats （P<0.05， P<0.01）. The treatment groups showed decreased positive expression of MMP-9 and VEGFA in the ectopic endometrial tissue （P<0.05， P<0.01） and down-regulated protein levels of TLR4， MyD88， p-NF-κB/NF-κB， MMP-9， and VEGFA in the ectopic endometrial tissue （P<0.05， P<0.01）. The cell experiments showed that 5%， 10%， and 20% Luoshi Neiyi prescription-containing sera significantly reduced the viability and inhibited the migration of iheESCs. Compared with the control group， 5%， 10%， and 20% Luoshi Neiyi prescription-containing serum groups and the TAK-242 group showed reduced protein levels of TLR4， MyD88， p-NF-κB/NF-κB， MMP-9， and VEGFA （P<0.01）. Compared with the control group， the LPS group showed increased expression of the above proteins （P<0.01）. Compared with the LPS group， the LPS+5%， 10%， and 20% Luoshi Neiyi prescription-containing serum groups showed reduced expression of the above proteins （P<0.05， P<0.01）. ConclusionLuoshi Neiyi prescription may modulate the TLR4/NF-κB signaling pathway to reduce the inflammatory response and histopathological damage in the eutopic endometrium and suppress the adhesive， invasive， and angiogenic biological processes in the ectopic endometrial tissue， thereby exerting its therapeutic effect on EMs.

Objective: To investigate the association characteristics between psychological resilience and Internet gaming addiction among primary and secondary school students across different educational stages, so as to provide evidence for stage specific intervention strategies. Methods: A total of 30 719 students from primary schools, junior high schools, and senior high schools in Guangzhou, were selected using a cluster random sampling method from October to December 2025. The 10 item Connor- Davidson Resilience Scale (CD-RISC-10) and the Internet Gaming Disorder Scale-Short Form (IGDS9-SF) were used to assess students phychological resilience and Internet gaming addication levels. One way analysis of variance was used for group comparisons. Network analysis was conducted to construct joint networks of psychological resilience and Internet gaming addiction across different educational stages, with a focus on identifying bridge nodes between the two domains. Results: Significant differences were observed in psychological resilience points (24.9±8.0, 24.3±8.2, 24.8±7.8) across priamry school, junior high school and senior high school ( F=18.91, P <0.01). There was a statistically significant difference in the scores of Internet game addiction points ( 17.7 ±7.6, 18.6±7.3, 19.2±7.0) among students across priamry school, junior high school and senior high school ( F=85.68, P <0.01). Psychological resilience was negatively correlated with Internet gaming addiction scores among primary school, junior high school, and senior high school students ( r =-0.27, -0.28, -0.19, all P <0.01). Network analysis revealed relatively close associations between psychological resilience and Internet gaming addiction across all educational stages. The bridge nodes were "withdrawal symptoms" for primary school, "toughness" for junior high school, and "loss of interest" for senior high school, with bridge expected influence values of 1.37, 1.31, and 1.18, respectively. The expected influence and bridge expected influence demonstrated good stability across the three educational stages, with correlation stability coefficients of 0.75. Conclusions The cross-community connections between psychological resilience and Internet gaming addiction differ across educational stages. Prevention and control of Internet gaming addiction should incorporate targeted interventions based on key bridge symptoms identified at each specific educational stage.