Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most prevalent chronic liver disease worldwide, affecting approximately 32%-38% of the adult population and posing a growing public health burden. MASLD represents a continuous disease spectrum ranging from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH), progressive hepatic fibrosis, cirrhosis, and ultimately hepatocellular carcinoma (HCC). The pathological core of MASLD lies in disruption of hepatic lipid metabolic homeostasis, characterized by an imbalance among de novo lipogenesis, fatty acid β-oxidation, and very-low-density lipoprotein (VLDL)-mediated lipid export. This metabolic disequilibrium subsequently drives inflammatory injury and fibrotic progression. Among the multiple regulatory pathways involved, thyroid hormone (TH) signaling has emerged as a central regulator of hepatic metabolic homeostasis. The liver is a major peripheral target organ of TH action, where TH predominantly exerts its metabolic effects through thyroid hormone receptor β (TRβ). Large-scale epidemiological studies and meta-analyses have demonstrated that hypothyroidism is significantly associated with increased MASLD prevalence, more severe histological injury, and advanced hepatic fibrosis, suggesting that dysregulation of TH signaling may participate throughout the entire MASLD disease spectrum. At the molecular level, TH regulates hepatic lipid metabolism by coordinating suppression of lipogenesis, enhancement of mitochondrial fatty acid oxidation, and promotion of VLDL assembly and secretion through integrated genomic actions of the T3-TRβ axis and non-genomic signaling pathways. Across different stages of MASLD, TH signaling exerts stage-dependent protective effects. In the steatosis stage, TH improves metabolic flexibility by modulating insulin sensitivity, glucose metabolism, and lipid droplet clearance, thereby alleviating early lipotoxic stress. During progression to MASH, TH attenuates inflammatory amplification by improving mitochondrial homeostasis, suppressing activation of the NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, and modulating the gut-liver axis microenvironment. In advanced stages, TH signaling influences hepatic stellate cell activation and extracellular matrix deposition, partly through interaction with the transforming growth factor-β (TGF-β)/SMAD pathway, while alterations in intrahepatic TH availability, mediated by dynamic changes in iodothyronine deiodinase 1 (DIO1), contribute to fibrosis progression and hepatocellular dedifferentiation. In hepatocellular carcinoma, coordinated downregulation of TRβ and DIO1 establishes a tumor-associated hypothyroid state that promotes metabolic reprogramming and tumor progression. The clinical relevance of TH signaling in MASLD has been underscored by the recent approval of Resmetirom, a liver-targeted TRβ‑selective agonist, for the treatment of non-cirrhotic MASH with moderate-to-severe fibrosis (F2-F3). This approval represents a landmark transition from mechanistic understanding to metabolism-centered precision therapy in MASLD. Clinical trials have demonstrated that Resmetirom not only improves key histological endpoints, including MASH resolution and fibrosis regression, but also favorably modulates atherogenic lipid profiles, highlighting the therapeutic potential of selectively targeting hepatic TH pathways. This review systematically summarizes the multidimensional regulatory roles of TH across the MASLD disease spectrum and discusses emerging diagnostic and therapeutic implications of TH-based interventions, aiming to inform future mechanistic research and optimize clinical management strategies.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

OBJECTIVE To evaluate the cost-utility of benmelstobart combined with anlotinib and chemotherapy as first-line treatment for extensive-stage small cell lung cancer （ES-SCLC） from the perspective of China’s healthcare system. METHODS Based on the data from the ETER 701 study， a partitioned survival model was constructed with a cycle of 3 weeks to simulate the total cost， quality-adjusted life years （QALY）， and incremental cost-effectiveness ratio （ICER） over 10 years for patients with ES- SCLC treated with benmelstobart plus anlotinib and chemotherapy， or chemotherapy alone. One-way sensitivity analysis and probability sensitivity analysis were performed to verify the robustness of the simulation results. The willingness-to-pay （WTP） threshold was set at 3 times the per capita gross domestic product （GDP） of China in 2023， which amounted to 268 074 yuan/QALY. RESULTS Compared with chemotherapy alone， benmelstobart combined with anlotinib and chemotherapy gained 0.438 QALY more at the cost of 403 505.55 yuan more， with an ICER of 922 031.37 yuan/QALY， which was higher than the WTP threshold set in this study. One-way sensitivity analysis showed that benmelstobart’s cost and utility value of the progression-free survival state had a greater impact on the ICER value； probabilistic sensitivity analysis confirmed the robustness of the model； only when the price of benmelstobart was reduced by 75.4%， the combined regimen would be cost-effective. CONCLUSIONS The first-line treatment of ES-SCLC with benmelstobart combined with anlotinib and chemotherapy is not cost-effective from the perspective of China’s healthcare system at present.

Hyperuricemia(HUA)and gout became typical metabolic disorders characterized by multiple pathogenic factors.Their incidence increased annually,affecting younger populations.Given that uric acid(UA)and inflammation were the primary disease mechanisms,the search for effective and low-side-effect UA-lowering and anti-inflammatory drugs became a pressing scientific priority.Traditional Chinese medi-cine(TCM)encompassed a rich array of theoretical and practical experience,along with a diverse range of chemical substances,making herbs or their components potential sources for therapeutic drugs.Despite the significant role that modern herbal medicines played in treating HUA and gout,the existing research literature remained fragmented,lacking comprehensive and systematic reviews.In this review,we focused on the regulation of UA and summarized the discovery of UA-lowering pharmacodynamic components or ingredients derived from herbs and formulas,as well as their multi-targeted mechanisms of action.Emphasizing this focus,we proposed that,compared to acute inflammation,low-grade inflammation may play a relatively"unnoticed"role in the disease process.In contrast to Western medicine,we discussed the risks and benefits of herbal medicines and their ingredients for treatment,drawing from theoretical insights and clinical practice.This review offered comprehensive perspectives on the research into anti-HUA and gout treatments using herbal medicines and their natural products.Additionally,it provided a forward-looking view on natural product discovery,the exploration of ther-apeutic strategies,and new drug research in this field.

AIM To investigate the renal protective effects of Qizhi Tongluo Formula on a mouse model of diabetic nephropathy.METHODS The male db/db mice were randomly divided into the model group,the dapagliflozin group(0.76 mg/kg)and the low,medium and high dose Qizhi Tongluo Formula groups(7.83,15.65 and 31.3 g/kg),with 6 mice in each group,in contrast to the 6 db/m mice of the control group.When the mice of the control group and the model group were given distilled water by gavage,those of the other administration groups were dosed with the corresponding drug by gavage once daily for 8 weeks.After the drug administration,the mice had their levels of FBG,BUN,Scr and 24 h-UTP detected;their renal pathological changes observed by transmission electron microscopy(TEM)and HE staining;their levels of serum Nrf2,HO-1,Keap1 and renal oxidative stress assessed by ELISA;their renal Nrf2 protein expression observed by immunofluorescence(IF);their renal protein expressions of Nrf2,HO-1 and Keap1 detected by Western blot;and their renal Nrf2,HO-1,and Keap1 mRNA expressions detected by RT-qPCR.RESULTS Compared with the control group,the model group displayed increased levels of 24 h-UTP,Scr,FBG and renal MDA(P＜0.01);decreased renal activities of SOD,CAT and GSH-Px(P＜0.01);mild glomerular mesangial hyperplasia,vacuolated renal tubular epithelial cells,widely fused podocyte foot processes,disappearance of tear film,decreased secretion levels of serum Nrf2 and HO-1 and renal protein and mRNA expressions of Nrf2 and HO-1(P＜0.05,P＜0.01);and decreased secretion levels of serum Keap1 and renal Keap1 protein and mRNA expressions(P＜0.01).Compared with the model group,the high-dose Qizhi Tongluo Formula group demonstrated decreased levels of 24 h-UTP,Scr,FBG and renal MDA(P＜0.01);increased renal activities of SOD,CAT and GSH-Px(P＜0.01);alleviated renal pathological damage,increased secretion levels of serum Nrf2 and HO-1 and renal protein and mRNA expressions of Nrf2 and HO-1(P＜0.01);and increased level of serum Keap1 secretion and renal Keap1 protein and mRNA expressions(P＜0.01).CONCLUSION Qizhi Tongluo Formula can inhibit oxidative stress and alleviate kidney damage in db/db mice by activating Nrf2/Keap1/ARE signaling pathway.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Diabetic nephropathy(DN)is a serious complication of diabetes mellitus and a leading cause of end-stage renal diseases.In DN patients,key pathological mechanisms include proteinuria,glomerulo-sclerosis,and fibrosis,largely driven by poor glycemic control and oxidative stress caused by prolonged hyperglycemia.This stress damages renal podocytes and triggers inflammatory mesenchymal infiltration of renal tubular cells,exacerbating the progression of proteinuria and fibrosis.Human umbilical cord-de-rived mesenchymal stem cells(hUC-MSCs)offer promising potential for treating DN due to their strong anti-oxidative properties.In this study,we developed a DN mouse model and treated the mouse via tail vein injections of hUC-MSCs(1×106 cells/mouse).The results indicated that hUC-MSCs significantly lowered fasting blood glucose levels(22.5±3.0 vs 14.7±1.1,P＜0.01)and improved glucose toler-ance,as shown by intraperitoneal glucose tolerance test(IPGTT)results(P＜0.05).Additionally,the renal function improved in hUC-MSCs-treated mice,with marked reductions in oxidative stress markers,including blood urea nitrogen(BUN),urinary creatinine(Ucr),urinary protein(PRO),superoxide dismutase(SOD),and malondialdehyde(MDA)(P＜0.05).Histological analyses through hematoxy-lin-eosin(H&E),Periodic Acid-Schiff(PAS),and Sirius red staining demonstrated alleviation of glo-merular mesangial hyperplasia,glomerular hypertrophy,and tubular inflammation.Furthermore,hUC-MSCs treatment downregulated the expression of oxidative stress-related proteins,such as NADPH oxi-dase 4(NOX4)and thioredoxin-interacting protein(TXNIP),and reduced reactive oxygen species(ROS)production(P＜0.05).Meanwhile,human renal cortical proximal tubule epithelial cells(HK-2 cells)were selected for validation in vitro experiments using high glucose treatment followed by super-natants of hUC-MSCs(MSC-CM),and Western blotting showed that the expression of both NOX4 and TXNIP was inhibited(P＜0.05)and ROS expression was reduced.In conclusion,hUC-MSC treatment effectively lowered blood glucose levels and improved renal function in DN mice,likely through the sup-pression of NOX4 expression and TXNIP-mediated oxidative stress.

Objective:To investigate the application value of dual-layer detector spectral CT in the precise outlining of gross tumor volume (GTV) in lung cancer patients.Methods:Imaging data of 39 patients with pathologically confirmed lung cancer on dual-energy enhanced CT scans in Hebei Medical University Third Hospital were retrospectively analyzed. Among them, 13 patients were not complicated with lung atelectasis and 26 cases were complicated with lung atelectasis and 9 of them received positron emission computed tomography (PET-CT) scan. The virtual single-energy images of arterial and venous dual-phase 40 keV images were reconstructed with the spectral base images of Iqon dual-energy CT, and the GTV of the primary foci was outlined using the reconstructed images and conventional enhanced CT images. The GTV outlined by conventional enhanced CT image, 40 keV virtual monoenergetic (VM) CT image, 40 keV VM-iodine density (VM-ID) fusion image in the arterial phase, conventional enhanced CT image, 40 keV VM image and 40 keV VM-ID image in the venous phase and PET-CT image was defined as GTV ACT, GTV A40VM, GTV A40VMID, GTV VCT, GTV V40VM, GTV V40VMID and GTV PET-CT, respectively. The consistency of target area outlining was assessed by calculating the GTV volume, the Dice similarity coefficient (DSC), and the 95 th percentile of the Hausdorff distance (HD95). Pairwise comparison among groups was conducted by Friedman test and corrected by Bonferroni correction. Results:In GTV comparisons, the differences in GTV ACT, GTV VCT, GTV A40VM and GTV V40VM in patients without pulmonary atelectasis were not statistically significant ( χ2=1.89, P=0.595). The DSC and HD95 of GTV ACTvs. GTV A40VM were 0.96 and 3.00, and the DSC and HD95 of GTV VCTvs. GTV V40VM were 0.94 and 2.93, respectively. The differences in GTV ACT, GTV A40VM, GTV A40VMID, GTV VCT, GTV V40VM, GTV V40VMID and GTV PET-CT in patients complicated with pulmonary atelectasis were statistically significant (all P<0.001). Pairwise comparison of Bonferroni correction showed that there was no statistically significant difference in GTV A40VM, GTV A40VMID, GTV V40VM, GTV V40VMID and GTV PET-CT (all P=1.000), all of which were significantly smaller than those of GTV ACT and GTV VCT (both P=0.001), and there was no statistically significant difference between GTV ACT and GTV VCT (both P=1.000). Based on the tumor extent shown by PET-CT (standardized uptake value =2.5), DSC were slightly higher and HD95 were slightly lower than conventional enhanced CT of GTV A40VM, GTV V40VM, GTV A40VMID, GTV V40VMIDvs. GTV PET-CT, respectively. When the arterial phase sequences were compared with PET-CT, pairwise comparison of Bonferroni correction showed that the DSC and HD95 of GTV A40VMvs. GTV PET-CT and GTV ACTvs. GTV PET-CT were statistically significant (both P<0.01), and the differences were not statistically significant among the remaining groups (all P>0.05). When intravenous phase sequences were compared with PET-CT, pairwise comparison of Bonferroni correction revealed that the DSC and HD95 of GTV V40VMIDvs. GTV PET-CT and GTV VCTvs. GTV PET-CT were statistically significant (both P<0.01), and the differences were not statistically significant among the remaining groups (all P>0.05). Conclusions:The use of 40 keV VMI-ID fusion images to outline the target area of the primary tumor lesions is closer to that of PET-CT, which provides a novel option for the precise outlining of the target area of clinical radiotherapy.

Objective To explore the value of MRI subtraction technique(ST)for evaluating the efficacy of systemic therapy for advanced hepatocellular carcinoma(HCC)and predicting prognosis after combining with surgery.Methods Totally 35 patients with 39 HCC lesions who received systemic therapy+radical resection were retrospectively collected.Based on preoperative MRI,tumor activity ratio(recorded as tumor activityST)was obtained with ST,while tumor activity value(recorded as tumor activitypathology)was obtained through postoperative pathology,and their correlation was analyzed.The patients were regularly followed up after surgery,and the survival data were recorded.Receiver operating characteristic(ROC)curve was drawn to evaluate the efficacy of tumor activityST for predicting patients'survival status.Then the patients were divided into survival benefit group and no survival benefit group according to the cut-off value,and survival analysis was conducted.Results Tumor activityST was positively correlated with tumor activitypathology(r=0.900,P＜0.001).The median follow-up time was 32.93 months,during which 8 patients died,and the median survival time was 29.9 months.The area under the curve(AUC)of tumor activityST for predicting patients'survival status was 0.67,and the cut-off value was 0.36.Thirty patients with tumor activityST＜0.36 were enrolled in survival benefit group,while 5 patients≥0.36 were collected in no survival benefit group.The overall survival in survival benefit group was longer than that in no survival benefit group(P＜0.001).Conclusion MRI ST could be used to non-invasively evaluate the efficacy of systemic therapy for advanced HCC and predict prognosis after combining with surgery.

Aim To infer novel therapeutic and phar-macological targets related to lung cancer treatment through multiomics approaches,so as to provide new directions for developing more personalized and effec-tive treatment strategies.Methods Genome-wide as-sociation study(GWAS)data analysis,pan-cancer,single-cell,transcriptomics,and protein-protein interac-tion analysis were employed in this study.Results We analyzed biomarkers and therapeutic targets associ-ated with lung cancer.The study identified key bio-markers closely related to lung cancer progression and explored the interrelationships between these biomark-ers and viral infections.According to KEGG pathway annotation,the number of genes related to metabolic processes increased significantly.In particular,metab-olites such as alanine and isoleucine emerged as pivotal factors in therapeutic interventions.The IgD+CD24+and IgD+CD24-B cell subsets were identified as cen-tral elements in immune evasion and treatment re-sponse.Concurrently,the Lachnospiraceae and Prevo-tella were shown to modulate host immune responses and the tumor microenvironment by regulating short-chain fatty acid levels,thereby opening novel avenues for cancer research.Conclusions Through mul-tiomics analysis combined with transcriptomics and pro-teomics analysis,we identify several potential therapeu-tic targets for lung cancer,providing key insights for developing novel treatment strategies.