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.

Objective To study the consonant articulation performance and speech intelligibility of patients with submucous cleft palate(SMCP)and to provide a reference for clinical speech evaluation and subsequent speech rehabilitation.Methods A total of 333 preoperative SMCP patients aged 4.5 years and older participated in this study.The accuracy,type of error,and error rates were assessed across participant genders and their varying levels of velopharyngeal closure function.Results Among the 333 patients,196 had complete velopharyngeal closure,while 137 had incomplete closure.A total of 145 patients(43.54％)demonstrated normal articulation of all conso-nants,while 188 patients(56.46％)displayed various degrees of articulation disorders.Compensatory articulation behaviors were observed in 66 patients(19.82％).No significant differences in articulation errors were found be-tween male and female patients.The accuracy ranking for consonants was from high to low as follows:nasal sounds,lateral sounds,fricatives,plosives,and affricates.Substitution was the most common error type with an incidence of 35.93％,followed by omission at 34.62％and compensatory errors at 25.51％.The average accuracy rates for plosives,fricatives,affricates,lateral/nasal sounds were 73.27％,78.20％,69.29％,and 93.39％,re-spectively.Substitution was the most common error for plosives and fricatives,while omission was most frequent for affricates.Compensatory errors occurred most often with affricates,and no compensatory errors were found in nasal or lateral sounds.Conclusion Substitution,omission,and compensatory errors are the most common articula-tion errors in SMCP patients,occurring across plosives,fricatives,and affricates.The severity of articulation disor-ders is related to velopharyngeal closure function but is independent of gender.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Purpose To explore the value of quantitative parameters(T2* value,R2* value)of three-dimensional multi-echo ultrashort echo time technique for the differential diagnosis of benign and malignant pulmonary nodules and masses(PNMs).Materials and Methods The MRI data of 68 patients with PNMs in Xi'an Gaoxin Hospital from July 2021 to October 2022 were retrospectively analyzed,and PNMs were grouped into benign(34 cases)and malignant(34 cases)categories using histopathology or clinical follow-up as the reference standard.Two observers respectively outlined the regions of interest on three-dimensional multi-echo ultrashort echo time-T2* and R2* maps,and quantitatively measured the T2* and R2* values.The intraclass correlation coefficient(ICC)was used to evaluate the consistency of the measured values.Differences in the above indicators between the two groups of PNMs were analyzed,and their diagnostic efficacy was assessed.The predictive probability of the combined two indicators was computed,the receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated.Results The measurement results of each parameter of PNMs in the benign and malignant groups by the two observers were consistent(ICC>0.75).The T2* value of the malignant group was higher than that of the benign group(Z=-5.158,P<0.001),and the R2* value was lower than that of the benign group(Z=-4.845,P<0.001),and the differences were statistically significant.The AUC of the T2* value was 0.864(95%CI 0.775-0.953,P<0.001),with a maximum Youden index of 0.677,a threshold of 9.675 ms,a sensitivity of 76.5%,and a specificity of 91.2%.The AUC of the R2* value was 0.842(95%CI 0.746-0.937,P<0.001),with a maximum Youden index of 0.647,and a threshold of 109.15/s,with a sensitivity of 73.5%and a specificity of 91.2%.The AUC of the combined diagnosis of T2* and R2* values was 0.867(95%CI 0.779-0.955,P<0.001),with a maximum Youden index of 0.677,a sensitivity of 82.4%,and a specificity of 85.3%.There was no statistically significant difference in the pairwise comparison of T2* values,R2* values,and their combined AUC(all P>0.05).Conclusion The T2* value and R2* value of the three-dimensional multi-echo ultrashort echo time technique,as well as the combination of the two indicators,are all helpful in differentiating benign and malignant PNMs,providing imaging support for the preoperative non-invasive and precise differentiation of PNMs and optimizing clinical diagnosis and treatment decisions.

Aim To investigate the therapeutic effects of a newly developed Tadalafil tablet on pulmonary fi-brosis induced by paraquat(PQ)in rats,as well as its impact on histone acetylation levels in epithelial cells.Methods SD rats were randomly divided into four groups:the control group(control),the model group(PQ),the Tadalafil new tablet treatment group(N-Tad,1 mg·kg-1),and the positive control drug treatment group(Cialis,5 mg·kg-1).The model group and treatment group rats were intraperitoneally injected with PQ(30 mg·kg-1).Two hours after the initial treatment,the rats in the treatment group re-ceived N-Tad or Cialis via gavage,while the control and model groups were administered an equal volume of physiological saline by gavage once daily for 28 days.The weight gain rate and lung tissue index for each group of rats were calculated.Additionally,the effects of N-Tad treatment on lung tissue structural damage and collagen deposition in rats with PQ-in-duced pulmonary fibrosis were observed using HE stai-ning,Masson trichrome staining,and immunohisto-chemical techniques.By employing the Western blot technique,the effects of Tadalafil intervention on the expression of the epithelial marker E-cadherin(E-Cad),the stromal marker fibronectin(Fn),and the histone acetylation marker acetylated histones(Ac-his-tones)in A549 cells were observed.Results Com-pared to the control group,rats with PQ-induced pul-monary fibrosis exhibited a significant decrease in the rate of body weight growth,an increase in lung tissue index(P＜0.05),and a notable increase in the expression and distribution of the fibrosis marker alpha-smooth muscle actin(α-SMA)in lung tissue.The structure of the lung tissue was disrupted,accompanied by the deposition of interstitial collagen fibers.Both N-Tad and Cialis treatments could significantly enhance the rate of weight gain,decrease the lung tissue index,inhibit the expression of α-SMA,and reduce the depo-sition of interstitial collagen in the lung tissue of rats with pulmonary fibrosis.Notably,low-dose N-Tad treatment was comparable to high-dose Cialis treat-ment.At the cellular level,Tadalafil significantly in-hibited the high expression of Fn induced by transfor-ming growth factor beta 1(TGF-β1)in A549 cells.It also upregulated the expression of E-cadherin and sig-nificantly increased the levels of acetylated histones(P＜0.05).Conclusions N-Tad promotes histone acetylation in alveolar epithelial cells,significantly in-hibits epithelial-mesenchymal transition,increases E-cadherin expression,and improves lung tissue structur-al damage and collagen deposition caused by PQ.Ad-ditionally,it offers the advantage of a lower effective dose compared to Cialis,providing a new option for the treatment of pulmonary fibrosis.

Icaritin(ICT)is an 8-isopentenylflavonoid,which is the main effective component of the tra-ditional Chinese medicine Epimedium.Previously,we found that Icaritin inhibits the growth of glioblasto-ma(GBM)cells.Herein we aim to study the in vivo anti-GBM effectiveness of Icaritin and explore its mechanism.The results of MTT assay,flow cytometry,comet assay and cellular immunofluorescence as-say in vitro showed that ICT inhibited the proliferation of four kinds of GBM cells,U87,U251,U118 and A172,induced early apoptosis(P＜0.001)and late apoptosis(P＜0.05)in U87 cells,induced DNA damage in U87 cells,and blocked the growth of U87 cells at the G0/G1 phase(P＜0.0001)in a concen-tration-time-dependent manner.In vivo subcutaneous tumor transplantation tumor experiments showed that feeding 200 mg/kg(P＜0.01)and 400 mg/kg(P＜0.001)ICT had a significant inhibitory effect on the growth of GBM subcutaneous tumors,and had no significant toxic effects on heart,liver,spleen,lung and kidney tissues.The results of network pharmacological analysis,molecular docking and cellular thermodynamic experiments showed that there were 26 possible target proteins between ICT and GBM,a-mong which the expression of p53 in GBM tissues was significantly(P＜0.001)higher than in normal tis-sues,and the binding energy of ICT and p53 was lower;cellular thermodynamic experiments verified that ICT significantly enriched the level of p53 in the living cells of GBM,which indicated that ICT could tar-get p53.The expression of key proteins in the DNA damage repair and apoptosis-associated FOXO signa-ling pathway was detected by ICT.The results showed that the expression of ATR(P＜0.01),P53(P＜0.001),P21(P＜0.05)and γ-H2AX(P＜0.05)was up-regulated,whereas the expression of Cyc-lin E1(P＜0.01),E2F1(P＜0.05),CDK2(P＜0.01),Rb(P＜0.001),p-Rb(P＜0.0001)and WRN(P＜0.0001)expression were down-regulated.There was no significant change in the expres-sion of FOXO 1 in the FOXO pathway or a significant down-regulation of its phosphorylation level.This study demonstrated that ICT could effectively inhibit the growth of GBM cells in vivo.It targets p53 to regulate the DNA damage repair pathway and FOXO signaling pathway to induce GBM cell cycle arrest and apoptosis.

Objective To study the consonant articulation performance and speech intelligibility of patients with submucous cleft palate(SMCP)and to provide a reference for clinical speech evaluation and subsequent speech rehabilitation.Methods A total of 333 preoperative SMCP patients aged 4.5 years and older participated in this study.The accuracy,type of error,and error rates were assessed across participant genders and their varying levels of velopharyngeal closure function.Results Among the 333 patients,196 had complete velopharyngeal closure,while 137 had incomplete closure.A total of 145 patients(43.54％)demonstrated normal articulation of all conso-nants,while 188 patients(56.46％)displayed various degrees of articulation disorders.Compensatory articulation behaviors were observed in 66 patients(19.82％).No significant differences in articulation errors were found be-tween male and female patients.The accuracy ranking for consonants was from high to low as follows:nasal sounds,lateral sounds,fricatives,plosives,and affricates.Substitution was the most common error type with an incidence of 35.93％,followed by omission at 34.62％and compensatory errors at 25.51％.The average accuracy rates for plosives,fricatives,affricates,lateral/nasal sounds were 73.27％,78.20％,69.29％,and 93.39％,re-spectively.Substitution was the most common error for plosives and fricatives,while omission was most frequent for affricates.Compensatory errors occurred most often with affricates,and no compensatory errors were found in nasal or lateral sounds.Conclusion Substitution,omission,and compensatory errors are the most common articula-tion errors in SMCP patients,occurring across plosives,fricatives,and affricates.The severity of articulation disor-ders is related to velopharyngeal closure function but is independent of gender.

Objective:To evaluate the performance of an artificial intelligence-based endoscopic virtual ruler (EVR) for non-invasive measurement of esophageal varices (EV) diameter.Methods:Patients with liver cirrhosis and EV hospitalized at the First Affiliated Hospital of Anhui Medical University between October 2022 and May 2023 were prospectively enrolled. EV diameter was measured using visual estimation, esophageal varix manometer (EVM), and EVR, with procedure times recorded. The intraclass correlation coefficient (ICC) was used to assess the consistency of EV diameter measurement obtained from the three methods, and repeated-measures ANOVA was used to compare differences in time measurements across three methods.Results:The study included 41 patients with liver cirrhosis and EV. Inter-observer ICC for visual estimation was 0.594, versus 0.840 for EVM and 0.884 for EVR. The ICC value between the EV diameters measured by EVR and EVM was higher than that of the visual assessment. The ICC value between EV diameter measurement by EVM and EVR was 0.991. Measurement times differed significantly across methods ( P<0.001): visual estimation 18.6±2.2 s (14.7-23.3 s), EVR 41.5±4.1 s (31.7-50.3 s), and EVM 170.8±26.4 s (129.3-229.3 s). Repeated measures analysis of variance (corrected using Greenhouse-Geisser) revealed significant differences in time across the three measurement methods [ F(1.033, 41.313)=1 233.800, P<0.001]. Subsequent Bonferroni post-hoc tests revealed significant differences in time between all method pairs ( P<0.001). Conclusion:EVR provides rapid, non-invasive EV diameter measurements with excellent agreement to EVM assessment, offering an efficient alternative to conventional techniques.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Objective:To investigate the changes in brain functional network and structural-functional network coupling in children with drug-resistant epilepsy (DRE), and to analyze their correlation with cognitive function, disease duration, and age of onset.Methods:This study was a cross-sectional study. Clinical and imaging data of 19 children with DRE who received consultation and treatment at the Affiliated Hospital of Zunyi Medical University from August 2021 to August 2023 (DRE group) were prospectively included. Another 27 age-and sex-matched healthy children were collected as the healthy control group. All subjects had 3D-T 1WI, T 2 fluid-attenuated inversion recovery, diffusion tensor imaging (DTI), resting-state functional magnetic resonance imaging (rs-fMRI) scans and Wechsler Intelligence Scale assessments. Independent sample t-test and Mann-Whitney U test were used to analyze the global and local topological attributes, as well as the structural-functional coupling (SFC) values at the whole brain and modular levels in two groups. Correlations between abnormal resting state brain functional network indicators and the Wechsler Intelligence Scale score [verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), processing speed index (PSI), full scale intelligence quotient (FSIQ)], disease duration and age of onset was evaluated using a Spearman or Pearson correlation analysis. Results:Compared to the healthy control group, DRE group exhibited decreased VCI, PRI, WMI, PSI, FSIQ and the differences were all statistically significant (all P<0.05). Both brain functional networks had small world attributes. There was a statistically significant difference in the area under the curve of sparsity of degree centrality (DC) in the left pallidum between the DRE group and healthy control group (2.998±0.942, 4.992±1.945, t=-4.07, FDR corrected P<0.05). Compared with the control group, the DRE group had decreased SFC within the limbic network (LN) ( P<0.05), increased SFC within the sensorimotor (SMN) ( P<0.05), decreased SFC between the default mode network-LN ( P<0.05), and increased SFC between the SMN-attentional network (AN) ( P<0.05). There was no statistically significant difference in SFC at the whole brain level between the two groups. Correlation analysis indicated that DC in left pallidum in DRE group negatively correlated with the PSI ( r=-0.537, P=0.018), and SFC between the SMN and AN demonstrated a negative correlation with age of onset ( r=-0.537, P=0.018). Conclusion:The altered DC in left pallidum may be related to cognitive impairment in children with DRE, providing biomarker information for the study of neural mechanisms in children with DRE.