ObjectiveTo investigate the effects of the classical Chinese medicine compound prescription Erjingwan on the inflammatory response and apoptosis of skeletal muscle cells in a mouse model of sarcopenia and decipher the mechanism based on the silent information regulator 1 （SIRT1）/nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty C57/BL6 male mice were randomized into a control group， a model group， and groups with different doses of Erjingwan （8，16，32 g·kg^-1）. The mouse model of sarcopenia was established by D-gal-induced skeletal muscle senescence. The body weight and grip strength of mice treated with different doses of Erjingwan were examined to evaluate their physiological functions. Hematoxylin-eosin （HE） staining and Masson staining were used to observe the pathological changes and fibrosis in the skeletal muscle of mice. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in the serum samples of mice， and biochemical tests were conducted to quantify the levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， and glutathione （GSH） in the serum. The protein and mRNA levels of SIRT1， Nrf2， B-cell lymphoma （Bcl-2）， and Bcl-2-associated X protein （Bax） were determined by Western blot and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， respectively. ResultsAfter 4 weeks of drug intervention， the model group exhibited significant reductions in body weight and grip strength （P0.01） compared with the control group. Compared with the model group， all doses of Erjingwan increased the body weight in mice at week 8 （P0.01） and grip strength from week 6 （P0.01）. HE staining revealed clear muscle fiber structure in the control group， muscle fiber rupture and atrophy in the model group， and dose-dependent repair of muscle fiber structure in the Erjingwan groups. Masson staining showed minimal collagen fibers and mild fibrosis in the control group， collagen fiber proliferation and severe fibrosis in the model group， and collagen proliferation with dose-dependent inhibition of fibrosis in the Erjingwan groups. ELISA results showed that serum levels of TNF-α and IL-6 were elevated in the model group compared with those in the control group （P0.01）. After intervention， the low-dose Erjingwan group exhibited a decreased TNF-α level （P0.05）， while the medium and high-dose groups showed decreases in both TNF-α and IL-6 levels （P0.01）. Biochemical assays revealed that the model group had decreased SOD and GSH levels （P0.01） and an increased MDA level （P0.01） compared with the control group. The medium and high-dose Erjingwan groups exhibited increases in SOD and GSH levels （P0.01） and decreases in MDA level （P0.01）， compared with the model group. WB and Real-time PCR results showed that compared with the control group， the model group presented down-regulated protein and mRNA levels of SIRT1， Nrf2， HO-1， and Bcl-2 in the muscle tissue （P0.01） and up-regulated protein and mRNA levels of Bax （P0.01）. Compared with the model group， Erjingwan at different doses up-regulated the protein levels of SIRT1， Nrf2， HO-1， and Bcl-2 （P0.01） and down-regulated the protein and mRNA levels of Bax （P0.01） in the muscle tissue. Low-dose Erjingwan elevated the mRNA levels of Nrf2 and HO-1 （P0.05， P0.01）， and medium and high-dose Erjingwan up-regulated the mRNA levels of SIRT1， Nrf2， HO-1， and Bcl-2 （P0.01）. ConclusionErjingwan reduced the content of inflammatory factors in skeletal muscle cells， improved the antioxidant capacity， and attenuated pathological changes and fibrosis in the muscle of the mouse model of sarcopenia by regulating the SIRT1/Nrf2/HO-1 pathway， inflammatory response， and apoptosis network.

ObjectiveTo investigate the effects of the classical Chinese medicine compound prescription Erjingwan on the inflammatory response and apoptosis of skeletal muscle cells in a mouse model of sarcopenia and decipher the mechanism based on the silent information regulator 1 （SIRT1）/nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty C57/BL6 male mice were randomized into a control group， a model group， and groups with different doses of Erjingwan （8，16，32 g·kg^-1）. The mouse model of sarcopenia was established by D-gal-induced skeletal muscle senescence. The body weight and grip strength of mice treated with different doses of Erjingwan were examined to evaluate their physiological functions. Hematoxylin-eosin （HE） staining and Masson staining were used to observe the pathological changes and fibrosis in the skeletal muscle of mice. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in the serum samples of mice， and biochemical tests were conducted to quantify the levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， and glutathione （GSH） in the serum. The protein and mRNA levels of SIRT1， Nrf2， B-cell lymphoma （Bcl-2）， and Bcl-2-associated X protein （Bax） were determined by Western blot and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， respectively. ResultsAfter 4 weeks of drug intervention， the model group exhibited significant reductions in body weight and grip strength （P0.01） compared with the control group. Compared with the model group， all doses of Erjingwan increased the body weight in mice at week 8 （P0.01） and grip strength from week 6 （P0.01）. HE staining revealed clear muscle fiber structure in the control group， muscle fiber rupture and atrophy in the model group， and dose-dependent repair of muscle fiber structure in the Erjingwan groups. Masson staining showed minimal collagen fibers and mild fibrosis in the control group， collagen fiber proliferation and severe fibrosis in the model group， and collagen proliferation with dose-dependent inhibition of fibrosis in the Erjingwan groups. ELISA results showed that serum levels of TNF-α and IL-6 were elevated in the model group compared with those in the control group （P0.01）. After intervention， the low-dose Erjingwan group exhibited a decreased TNF-α level （P0.05）， while the medium and high-dose groups showed decreases in both TNF-α and IL-6 levels （P0.01）. Biochemical assays revealed that the model group had decreased SOD and GSH levels （P0.01） and an increased MDA level （P0.01） compared with the control group. The medium and high-dose Erjingwan groups exhibited increases in SOD and GSH levels （P0.01） and decreases in MDA level （P0.01）， compared with the model group. WB and Real-time PCR results showed that compared with the control group， the model group presented down-regulated protein and mRNA levels of SIRT1， Nrf2， HO-1， and Bcl-2 in the muscle tissue （P0.01） and up-regulated protein and mRNA levels of Bax （P0.01）. Compared with the model group， Erjingwan at different doses up-regulated the protein levels of SIRT1， Nrf2， HO-1， and Bcl-2 （P0.01） and down-regulated the protein and mRNA levels of Bax （P0.01） in the muscle tissue. Low-dose Erjingwan elevated the mRNA levels of Nrf2 and HO-1 （P0.05， P0.01）， and medium and high-dose Erjingwan up-regulated the mRNA levels of SIRT1， Nrf2， HO-1， and Bcl-2 （P0.01）. ConclusionErjingwan reduced the content of inflammatory factors in skeletal muscle cells， improved the antioxidant capacity， and attenuated pathological changes and fibrosis in the muscle of the mouse model of sarcopenia by regulating the SIRT1/Nrf2/HO-1 pathway， inflammatory response， and apoptosis network.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with 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 On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

OBJECTIVE To mine the risk signals associated with erectile dysfunction （ED） related to antihypertensive drugs based on real-world data， and to provide a reference for the safe clinical use and risk monitoring of these drugs.METHODS Reports of ED associated with 15 target antihypertensive drugs were extracted from the US FDA Adverse Event Reporting System （FAERS） database， covering the period from the first quarter of 2004 to the first quarter of 2026. Three proportional disproportionality measures （reporting odds ratio， proportional reporting ratio， and empirical Bayesian geometric mean） were used to mine the risk signals for ED associated with various antihypertensive drugs， and stratified analyses were performed based on patient age and body weight.RESULTS A total of 997 ED reports associated with 15 antihypertensive drugs were included. The majority were male patients （931 reports）， with age concentrated in the 18 to ＜65 years group （511 reports）， body weight in the 50 to ＜100 kg group （366 reports）， and reporters predominantly consumers/patients （497 reports）. The top three drugs by number of reports were amlodipine （413 reports）， metoprolol （133 reports）， and valsartan （82 reports）； the overall demographic distribution characteristics of reports associated with each drug were similar. Positive signals were detected for 8 drugs， including amlodipine and metoprolol. ED associated with atenolol， candesartan， metoprolol， hydrochlorothiazide， and losartan mostly occurred within 30 days after medication； ED associated with valsartan and perindopril mostly occurred over 360 days after medication； and the onset time of amlodipine-associated ED was evenly distributed across all time periods. There were a total of 835 serious reports， with calcium channel blockers （CCBs） accounting for the highest proportion （44.0%） and angiotensin-converting enzyme inhibitors for the lowest （3.7%）. The intensity of risk signals for amlodipine-associated ED increased with advancing age and higher body weight， while the signals for metoprolol were most pronounced in individuals aged 45 to ＜60 years and weighing≥100 kg； positive signals for valsartan were observed only in individuals aged≥60 years and those weighing 50 to ＜75 kg or ≥100 kg.CONCLUSIONS Reports of ED associated with antihypertensive drugs exhibit significant heterogeneity across drug types and differences in the distribution of onset times； CCBs have the highest proportion of serious reports； and the relationship between ED risk signals associated with amlodipine， metoprolol， and valsartan and age and body weight also shows marked heterogeneity.

Neuronal intranuclear inclusion disease (NIID) is a rare neurodegenerative disorder. Some NIID patients may present with paroxysmal neurological symptoms, posing challenges for clinical diagnosis. Thisarticle reports a 68-year-old male NIID patient presenting predominantly with stroke-like episodes. The patient was admitted with sudden-onset right-sided limb weakness, and had a prior history of cognitive decline and bradykinesia. Brain magnetic resonance imaging revealed severe subcortical white-matter hyperintensities in bilateral cerebral hemispheres on fluid-attenuated inversion recovery sequences, as well as characteristic "ribbon sign" at the corticomedullary junction on diffusion-weighted imaging. Genetic testing identified an abnormal GGC repeat expansion of 112 times in the NOTCH2NLC gene, confirming the diagnosis of NIID. In addition, we reviewed previously reported NIID cases with stroke-like episodes as the predominant clinical manifestation, aiming to provide references for the clinical diagnosis and treatment of this disease.

Hepatopathy-related thrombocytopenia （HRT） is a common complication in patients with chronic liver disease， and the development and progression of HRT involve multiple mechanisms including decreased platelet production， splenic sequestration， immune-mediated destruction， increased platelet consumption， and abnormalities in the bone marrow microenvironment. HRT not only increases the risk of bleeding but also hampers the successful implementation of antiviral therapy， antitumor treatment， and invasive procedures. In recent years， with the accumulation of evidence from basic and clinical studies， significant advances have been achieved in the pathogenesis， risk assessment， diagnostic stratification， and therapeutic strategies for HRT， and the paradigm of precise management has gradually shifted from merely increasing platelet counts toward a cause-directed， risk-stratified， and individualized intervention approach. With reference to the latest research advances in China and globally， this article reviews the new insights into the pathogenesis of HRT， refinements in diagnostic and risk assessment strategies， and the latest research advances in management strategies such as thrombopoietic agents， immunotherapy， invasive therapies， and integrated traditional Chinese and Western medicine therapies， in order to provide a reference for precise diagnosis， treatment， and clinical decision-making in HRT and to lay a foundation for establishing a future precise management system.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

ObjectiveThrough multimodal research methods including medication rule mining， network pharmacology， molecular docking and dynamics simulation， and in vivo animal experiments， this study aims to speculate and verify the core composition （Ginseng Radix et Rhizoma Rubra-Salviae Miltiorrhizae Radix et Rhizoma-Notoginseng Radix et Rhizoma） and efficacy （Qi-invigorating and blood-activating） of the drug combination in Yitangkang Compound for improving diabetic cardiomyopathy （DCM）， investigate the interaction relationship and binding strength between core active ingredients of the drug combination and key signaling pathway targets， and further explore the mechanism by which the Qi-invigorating and blood-activating drug combination regulates the calcium signaling pathway to improve cardiac function in DCM rats. MethodsThe Ancient and Modern Medical Cases Cloud Platform was used to construct a DCM prescription database， and the "Analysis Method" module of the platform was applied to mine and summarize medication rules， thereby determining the core composition of the Qi-invigorating and blood-activating drug combination in Yitangkang. Drug-active ingredient-signaling pathway-core target-disease analysis and visualization were conducted by combining network pharmacology with the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， SwissTargetPrediction platform， GeneCards database， MetaScape database， CytoScape software， etc. Then， molecular docking was performed via the CB-Dock2 platform， and molecular dynamics simulation of the high-binding-strength docking complexes was carried out by Gromacs software. Finally， in vivo animal experiments were carried out. Twenty-eight Sprague Dawley （SD） rats meeting the research criteria were divided into a normal group， a model group， a drug combination group （3.3 g·kg^-1）， and a Yitangkang group （20 g·kg^-1）. A type 2 diabetes mellitus （T2DM） rat model was established by high-fat diet feeding combined with intraperitoneal injection of streptozotocin （STZ）， followed by continuous feeding for eight weeks until the DCM model was successfully established. During this period， the traditional Chinese medicine （TCM） compound and drug combination were administered for prevention and treatment intervention. Meanwhile， changes in blood glucose， body weight， and heart index of each group were monitored. Cardiac function was assessed by echocardiography， and electrophysiological signals were detected by an electrocardiogram. The heart tissue was observed for pathological changes by hematoxylin-eosin （HE） and Masson staining， and the expression of L-type calcium channel （CACNA1C）， calmodulin （CALM1）， calcium/calmodulin-dependent protein kinase Ⅱδ （CAMK2D）， and neuronal nitric oxide synthase （NOS1） proteins in the calcium signaling pathway of myocardial tissue was detected by Western blot. ResultsIn 62 DCM prescriptions， Ginseng Radix et Rhizoma Rubra， Salviae Miltiorrhizae Radix et Rhizoma， and Notoginseng Radix et Rhizoma were used most frequently. Their meridian tropism mainly involved the spleen， heart， and lung， and their sweet and warm properties were prominent. The drugs for tonifying or blood-activating and stasis-resolving ranked top. In association rule analysis， （Ginseng Radix et Rhizoma Rubra， Salviae Miltiorrhizae Radix et Rhizoma）-Notoginseng Radix et Rhizoma had the highest lift. Network pharmacology obtained 75 active ingredients of the drug combination， 714 drug combination action targets， 2 702 disease targets， and 286 intersection targets. Protein-protein interaction （PPI） network predicted nine interaction component-targets （nine active ingredients and four calcium signaling pathway target genes）. Molecular docking showed the four complexes with the lowest binding energy were 2f3z-ginsenoside Re， 1cll-quercetin， 9blh-（6S）-6-（hydroxymethyl）-1，6-dimethyl-8，9-dihydro-7H-naphtho［8，7-g］benzofuran-10，11-dione， and 5vv0-miltionone Ⅱ. Dynamics simulation showed the CALM1-quercetin complex had the strongest binding affinity. The animal experiment results revealed that compared with the normal group， the model group showed significant changes in blood glucose， body weight， myocardial tissue morphology， heart index， cardiac function， electrophysiological indexes， and the expression levels of CACNA1C， CALM1， CAMK2D， and NOS1 proteins （P<0.05， P<0.01）. Compared with the model group， the Yitangkang group had a certain improvement effect on the above indexes （P<0.05， P<0.01）. Compared with the Yitangkang group， the drug combination group showed no significant difference in improving myocardial tissue morphology， heart index， cardiac function， electrophysiological indexes， and the expression of CACNA1C， CALM1， CAMK2D， and NOS1 proteins， except for blood glucose and body weight. ConclusionGinseng Radix et Rhizoma Rubra， Salviae Miltiorrhizae Radix et Rhizoma， and Notoginseng Radix et Rhizoma are the core Qi-invigorating and blood-activating drug combination in Yitangkang Compound. They have a good preventive and therapeutic effect on STZ-induced DCM in rats， and their mechanism of action may be related to the regulation of the calcium signaling pathway.