Myosteatosis is one of the common complications in patients with end-stage liver disease, which is significantly associated with poor outcomes after liver transplantation. Currently, diagnostic criteria of myosteatosis have not been established, and CT is the most commonly used for diagnosis. The pathogenesis of myosteatosis is multifactorial, and the pathophysiological mechanisms linking it to end-stage liver disease are not fully understood. An increasing number of scholars have recognized that the severity of myosteatosis is closely related to its clinical consequences, but there are no effective treatment options available. This article reviews the pathophysiological mechanisms and diagnostic methods of myosteatosis, and its impact on the prognosis of liver transplant recipients, and discusses current treatment strategies to provide references for the perioperative management of liver transplant recipients.

The incidence and mortality rates of lung cancer have been continuously rising. Smoking is a crucial modifiable factor contributing to the high incidence of lung cancer, and quitting smoking is of great significance for the treatment and prognosis of lung cancer patients. This article systematically reviews the harms of smoking to lung cancer patients, such as carcinogenic substances triggering lung cancer, affecting the course of the disease, and the improvement of prognosis after quitting smoking. It also analyzes the current situation of smoking cessation among lung cancer patients, who face numerous difficulties and have a relatively small number of successful quitters. Meanwhile, this article provides a detailed introduction to the clinical diagnosis and treatment methods for smoking cessation interventions. This includes the explanation of the pathophysiology of smoking cessation, psychological supportive therapies [brief psychological intervention and 5A’s model (Ask, Advise, Assess, Assist, Arrange) psychological counseling], and pharmacotherapies (nicotine-based and non-nicotine-based smoking cessation medications). In addition, it covers the behavioral intervention therapies for smoking cessation, including the PRECEDE-PROCEED model, cognitive behavior theory model, capacity opportunity motivation-behavior (COM-B) theoretical model, information-motivation-behavioral skills (IMB) model, timing is right (TIR) theoretical model, and the economic incentive intervention model. Although some of the current intervention methods lack the support of clinical randomized controlled studies, existing research and practice have confirmed their positive effects on smoking cessation among lung cancer patients. It is hoped that relevant intervention methods can be further improved in the future to help lung cancer patients improve their quality of life.

To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism.

Diabetic kidney disease （DKD） is one of the main causes of chronic kidney disease. Both traditional Chinese medicine （TCM） and western medicine have their own advantages in the prevention and treatment of DKD， but there are also many difficulties. By analysis of the difficulties faced by TCM and western medicine in the differentiation and treatment of DKD， based on the theory of "miniature masses in the renal collaterals"， combined with long-term clinical practice， "internal heat leading to mass" is proposed as the core pathogenesis of DKD. Therefore， a trinity model of "disease-syndrome-symptom" for differentiation and treatment of DKD based on the core pathogenesis has been proposed. This model highlights the status of the core pathogenesis of "internal heat leading to mass" in DKD， and conducts a three-dimensional identification from the perspectives of disease， syndrome and symptom， so as to inspire clinical practice.

Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

This paper proposes a motor imagery recognition algorithm based on feature fusion and transfer adaptive boosting (TrAdaboost) to address the issue of low accuracy in motor imagery (MI) recognition across subjects, thereby increasing the reliability of MI-based brain-computer interfaces (BCI) for cross-individual use. Using the autoregressive model, power spectral density and discrete wavelet transform, time-frequency domain features of MI can be obtained, while the filter bank common spatial pattern is used to extract spatial domain features, and multi-scale dispersion entropy is employed to extract nonlinear features. The IV-2a dataset from the 4 ^th International BCI Competition was used for the binary classification task, with the pattern recognition model constructed by combining the improved TrAdaboost integrated learning algorithm with support vector machine (SVM), k nearest neighbor (KNN), and mind evolutionary algorithm-based back propagation (MEA-BP) neural network. The results show that the SVM-based TrAdaboost integrated learning algorithm has the best performance when 30% of the target domain instance data is migrated, with an average classification accuracy of 86.17%, a Kappa value of 0.723 3, and an AUC value of 0.849 8. These results suggest that the algorithm can be used to recognize MI signals across individuals, providing a new way to improve the generalization capability of BCI recognition models.
Brain-Computer Interfaces ; Humans ; Support Vector Machine ; Algorithms ; Neural Networks, Computer ; Imagination/physiology* ; Pattern Recognition, Automated/methods* ; Electroencephalography ; Wavelet Analysis

Recent studies have indicated that the expression of ubiquitin-specific protease 51 (USP51), a novel deubiquitinating enzyme (DUB) that mediates protein degradation as part of the ubiquitin‒proteasome system (UPS), is associated with tumor progression and therapeutic resistance in multiple malignancies. However, the underlying mechanisms and signaling networks involved in USP51-mediated regulation of malignant phenotypes remain largely unknown. The present study provides evidence of USP51's functions as the prominent DUB in chemoresistant triple-negative breast cancer (TNBC) cells. At the molecular level, ectopic expression of USP51 stabilized the 78 kDa Glucose-Regulated Protein (GRP78) protein through deubiquitination, thereby increasing its expression and localization on the cell surface. Furthermore, the upregulation of cell surface GRP78 increased the activity of ATP binding cassette subfamily B member 1 (ABCB1), the main efflux pump of doxorubicin (DOX), ultimately decreasing its accumulation in TNBC cells and promoting the development of drug resistance both in vitro and in vivo. Clinically, we found significant correlations among USP51, GRP78, and ABCB1 expression in TNBC patients with chemoresistance. Elevated USP51, GRP78, and ABCB1 levels were also strongly associated with a poor patient prognosis. Importantly, we revealed an alternative intervention for specific pharmacological targeting of USP51 for TNBC cell chemosensitization. In conclusion, these findings collectively indicate that the USP51/GRP78/ABCB1 network is a key contributor to the malignant progression and chemotherapeutic resistance of TNBC cells, underscoring the pivotal role of USP51 as a novel therapeutic target for cancer management.

COMPERA 2.0 risk stratification has been demonstrated to be useful in patients with precapillary pulmonary hypertension (PH). However, its suitability for patients at risk for post-capillary PH or PH associated with left heart disease (PH-LHD) is unclear. To investigate the use of COMPERA 2.0 in patients with severe aortic stenosis (SAS) undergoing transcatheter aortic valve replacement (TAVR), who are at risk for post-capillary PH, a total of 327 eligible SAS patients undergoing TAVR at our institution between September 2015 and November 2020 were included in the study. Patients were classified into four strata before and after TAVR using the COMPERA 2.0 risk score. The primary endpoint was all-cause mortality. Survival analysis was performed using Kaplan-Meier curves, log-rank test, and Cox proportional hazards regression model. The study cohort had a median (interquartile range) age of 76 (70‒80) years and a pulmonary arterial systolic pressure of 33 (27‒43) mmHg (1 mmHg=0.133 kPa) before TAVR. The overall mortality was 11.9% during 26 (15‒47) months of follow-up. Before TAVR, cumulative mortality was higher with an increase in the risk stratum level (log-rank, both P<0.001); each increase in the risk stratum level resulted in an increased risk of death (hazard ratio (HR) 2.53, 95% confidential interval (CI) 1.54‒4.18, P<0.001), which was independent of age, sex, estimated glomerular filtration rate (eGFR), hemoglobin, albumin, and valve type (HR 1.76, 95% CI 1.01‒3.07, P=0.047). Similar results were observed at 30 d after TAVR. COMPERA 2.0 can serve as a useful tool for risk stratification in patients with SAS undergoing TAVR, indicating its potential application in the management of PH-LHD. Further validation is needed in patients with confirmed post-capillary PH by right heart catheterization.
Humans ; Aortic Valve Stenosis/complications* ; Aged ; Hypertension, Pulmonary/mortality* ; Male ; Female ; Transcatheter Aortic Valve Replacement ; Aged, 80 and over ; Risk Assessment/methods* ; Proportional Hazards Models ; Kaplan-Meier Estimate ; Retrospective Studies

Objective To investigate the molecular mechanism by which salidroside inhibits the proliferation of gastric cancer(GC)cells through upregulation of miR-1343-3p.Methods RNA databases were used to screen for mRNAs associated with tumor proliferation and with miR-1343-3p,and exhibiting significant changes in their expression levels after salidroside treatment of human GC cells.Gene matching and immunoprecipitation of RNA-binding proteins were conducted to analyze the association between miR-1343-3p and SOX18.Immunocytochemistry was performed to determine the localization of SOX18 protein.The effect of salidroside on the proliferation of human GC cells(MGC-803 and AGS)was determined by CCK-8 assay.Human GC cells were divided into a blank control group and low-and high-dose salidroside groups.The expression of miR-1343-3p and SOX18 mRNA was measured by real-time quantitative fluorescence PCR(qPCR).The protein expression of SOX18 was measured by Western blot.GC cells were co-transfected with miR-1343-3p mimic and miR-1343-3p inhibitor,respectively,via LipofectamineTM 2000 liposomes.The expression of miR-1343-3p and SOX18 mRNA was measured by qPCR,and the protein expression of SOX18 was measured by Western blot.Results Through bioinformatic analysis,SOX18 was identified as a downstream target of miR-1343-3p.Gene alignment confirmed the presence of specific binding sites between the two genes,and immunoprecipitation of RNA-binding proteins validated the targeting relationship between them(P<0.05).Immunocytochemistry demonstrated the nuclear localization of SOX18 protein.CCK-8 assay findings demonstrated that salidroside significantly inhibited the proliferation of GC cells in a time-and dose-dependent manner.Compared with the blank control group,salidroside-treated GC cells showed decreased expression of both SOX18 mRNA and protein(P<0.05)and an increased miR-1343-3p expression(P<0.05).Compared with the control group,GC cells in the miR-1343-3p mimic group exhibited increased expression of miR-1343-3p and decreased expression of SOX18 mRNA and protein.In contrast,GC cells in the miR-1343-3p inhibitor group showed decreased expression of miR-1343-3p and increased expression of SOX18 mRNA and protein(all P<0.05).Conclusion Salidroside may inhibit the proliferation of GC cells by regulating the miR-1343-3p/SOX18 signaling axis and these regulators may present new potential therapeutic targets or biomarkers for gastric cancer.

Objective: To investigate independent risk factors for lower extremity amputation (LEA) in hospitalized patients with diabetic foot ulcers ( DFUs) . Methods: A multicenter retrospective analysis was conducted on the clinical data of 329 DFUs hospitalized patients with diabetic foot ulcers from four general hospitals across the na⁃tion. A multivariate Logistic regression model was constructed , and prediction analysis was performed using R 4. 2. 1 . The discriminative ability of the model was assessed using receiver operating characteristic curves , while calibration accuracy and clinical applicability were evaluated via calibration curves and decision curve analysis. Results : The study revealed that patients with higher education backgrounds showed lower disease severity (Wagnergrade) (Z = - 4. 331 , P < 0. 05) . A history of amputation , pre⁃existing lower extremity vascular disease , abnormal dorsalis pedis artery pulsation , and a history of coronary heart disease were significantly associated with the severity of DFUs , resulting in higher Wagner scores (P < 0. 05) . In the amputation prognosis analysis , prolonged duration of diabetes and elevated white blood cell count were positively correlated with amputation risk ( both P < 0. 01) .Multivariable regression identified non⁃higher education , low hemoglobin levels , decreased total cholesterol , and abnormally elevated platelet counts as independent risk factors for high Wagner grades ( ≥ grade 3 ) ( all P <0. 05) . The integrated predictive model incorporating these factors demonstrated strong discriminative performance ,with an area under curve of 0. 880 (95% CI: 0. 801 - 0. 960) . The calibration curve slope approached the ideal value , and decision curve analysis confirmed the model ′s clinical net benefit within a threshold probability range of 10% - 65% . Conclusion Lower education level , poor baseline nutritional status , infection , hypercoagulability ,and underlying vascular diseases collectively constitute key factors contributing to elevated amputation risk in DFUs patients. The developed predictive model exhibits high accuracy and may assist clinicians in formulating individual⁃ized intervention strategies.