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.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective:To explore the differences in active components between Hedysari Radix and Astragali Radix; To explore the material basis and therapeutic functions of Hedysari Radix in promoting blood circulation and nourishing blood.Methods:The research materials used in this study were Hedysari Radix and Astragali Radix from Wudu District, Longnan City, Gansu Province. The contents of seven resource-based components-total sugars, total polyphenols, total flavonoids, crude proteins, total saponins, total alkaloids, and total dietary fiber were measured according to standard methods. Additionally, an HPLC method was established to quantify 21 active compounds. In vitro antioxidant experiments were conducted to assess the scavenging ability of DPPH and ABTS free radicals.Results:The contents of resource-based components in Hedysari Radix were higher than in Astragali Radix. Among the 21 active components, the characteristic active components of Astragali Radix, such as calycosin, formononetin, calycosin glucoside and so on, were high in contents. The contents of paeoniflorin and Medicinol in Astragali Radix were low or not detected, and the contents in Hedysari Radix were 98.828 μg/g and 103.986 μg/g, and the antioxidant capacity was also better than Astragali Radix.Conclusions:The basic components of Hedysari Radix for promoting blood circulation and nourishing blood are paeoniflorin, Medilac, vanillic acid, ferulic acid and formononetin, which can provide a scientific basis for the determination of the characteristic components and the improvement of the main functions of Hedysari Radix.

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 construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Objective Investigate the prevalence and epidemiological characteristics of flatfoot among a sample of adolescents(grade 3,5 and 7)in the Northeastern Chongqing,analyze the influencing factors,to provide a scientific basis for selecting intervention strategies.Methods Utilizing plantar optical observation mirrors and questionnaires,a flatfoot screening was conducted among grade 3,5 and 7 school-aged adolescents from 10 urban and rural schools in Wanzhou District,Chongqing.Relevant parameters were recorded,and uni-variate logistic regression analysis was performed considering gender,genetics,BMI,exercise duration,foot-wear,history of ankle trauma,awareness of risks,medical consultation history,and knowledge of preventive measures for flatfoot prevalence.Variables with statistically significant differences in the univariate logistic a-nalysis were included in the multivariate logistic regression analysis.Results In a sample of 5 058 school-age adolescents,2 163 were diagnosed with flatfoot,yielding a prevalence rate of 42.76%(2 163/5 058).Urban and rural areas difference:urban areas had a rate of 43.70%(1 444/3 304),while rural areas had a rate of 40.99%(719/1 754),no statistically significant difference was found between the two(χ2=3.334,P=0.068).Gender difference:males had a rate of 45.56%(1 212/2 660),and females had a rate of 39.66%(951/2 398),the prev-alence rate was higher in males than in females,with a statistically significant difference(χ2=17.730,P<0.001).Grade difference:the prevalence rate in grade 3 was 49.45%(822/1 662),in grade 5 was 42.78%(727/1 699),and in grade 7 was 36.18%(614/1 697),there was a statistically significant among different grades(χ2=60.473,P<0.001),while the prevalence rate in grade 3 was significantly higher than that in grade 5 and 7,and it showed a decreasing trend with the increase of the students'grade level(χ2 trend=24.223,P<0.001).Genetic differences:the proportion of individuals with a positive genetic predisposition to flat feet was 15.53%(336/2 163),the influence of genetics on the occurrence of flat feet was statistically significant(χ2=70.232,P<0.001);furthermore,there was a higher genetic tendency towards severe flatfoot,with statistically significant difference(χ2trend=44.976,P<0.001).BMI difference:comparison of flatfoot severity across differ-ent BMI strata showed a significant difference(χ2trend=21.118,P=0.002),indicating that varying BMI levels affect the prevalence of flatfoot.Multivariate logistic regression analysis showed that gender,genetics,and BMI(18.5-<25.0 kg/m2)were the influencing factors of flatfoot among adolescents in Northeastern Chongqing(P<0.05).Conclusion The incidence of flatfoot among school-age adolescents decreases with in-creasing grade,with lower rates among girls than boys,and there is a genetic predisposition.Most flatfoot are mild,and BMI is a high-risk factor.Early intervention should be implemented for flatfoot in adolescents.

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

Objective: To summarize strategies for improving childhood hypertension, so as to provide evidencebased recommendations for poliymaking and practice childhood hypertension management in China. Methods: From March to April 2024, child health stakeholders from five districts in Hangzhou were selected using a combination of stratified and convenience sampling methods. Data were analyzed using a groundedtheory approach. During the indepth interview phase, six policymakers were interviewed. Focus group discussions were conducted with school administrators, healthcare providers, and parents, comprising a total of 62 participants. Results: Through threelevel coding, 116 initial categories were identified(e.g., "trend of younger age" "difficulty in behavior change"), 35 main categories (e.g., "higher incidence compared to the past" "caused by comprehensive influencing factors"), and 12 core categories (e.g., "epidemic status" "influencing factors"). Finally, the cognitive status, problem analysis, and management strategies of children hypertension were constructed. Conclusion Effective prevention and control of childhood hypertension requires coordinated efforts among governments, schools, families, and society to establish a comprehensive management system, with dynamic monitoring and evaluation to optimize policy implementation.

[This corrects the article DOI: 10.1016/j.jpha.2023.08.006.].

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index