Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Based on ultra-high performance liquid chromatography-quadrupole-Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology and network pharmacology, this study explored the pharmacodynamic substances and potential mechanisms of Huazhuo Sanjie Chubi Decoction in the treatment of gouty arthritis(GA). UPLC-Q-Exactive Orbitrap-MS technology was used to identify the components in Huazhuo Sanjie Chubi Decoction, and the qualitative analysis of its active ingredients was carried out, with a total of 184 active ingredients identified. A total of 897 active ingredient targets were screened through the PharmMapper database, and 491 GA-related disease targets were obtained from the OMIM, GeneCards, CTD databases. After Venn analysis, 60 intersecting targets were obtained. The component target-GA target network was constructed through the Cytoscape platform, and the STRING database was used to construct a protein-protein interaction network, with 16 core targets screened. The core targets were subjected to Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses, and the component-target-pathway network was constructed. It was found that the main active ingredients of the formula for the treatment of GA were phenols, flavonoids, alkaloids, and terpenoids, and the key targets were SRC, MMP3, MMP9, REN, ALB, IGF1R, PPARG, MAPK1, HPRT1, and CASP1. Through GO analysis, it was found that the treatment of GA mainly involved biological processes such as lipid response, bacterial response, and biostimulus response. KEGG analysis showed that the pathways related to the treatment of GA included lipids and atherosclerosis, neutrophil extracellular traps(NETs), IL-17, and so on. In summary, phenols, flavonoids, alkaloids, and terpenoids may be the core pharmacodynamic substances of Huazhuo Sanjie Chubi Decoction in the treatment of GA, and the pharmacodynamic mechanism may be related to SRC, MMP3, MMP9, and other targets, as well as lipids and atherosclerosis, NETs, IL-17, and other pathways.
Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology ; Arthritis, Gouty/metabolism* ; Chromatography, High Pressure Liquid/methods* ; Humans ; Mass Spectrometry/methods* ; Protein Interaction Maps/drug effects*

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

Cytotoxicity, usually represented by cell viability, is a crucial parameter for evaluating drug safety in vitro. Accurate prediction of cell viability/cytotoxicity could accelerate drug development in the early stage. In this study, by integrating cellular transcriptome and cell viability data using four machine learning algorithms (support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM)) and two ensemble algorithms (voting and stacking), highly accurate prediction models of 50% and 80% cell viability were developed with area under the receiver operating characteristic curve (AUROC) of 0.90 and 0.84, respectively; these models also showed good performance when utilized for diverse cell lines. Concerning the characterization of the employed Feature Genes, the models were interpreted, and the mechanisms of bioactive compounds with a narrow therapeutic index (NTI) can also be analyzed. In summary, the models established in this research exhibit superior capacity to those of previous studies; these models enable accurate high-safety substance screening via cytotoxicity prediction across cell lines. Moreover, for the first time, Cytotoxicity Signature (CTS) genes were identified, which could provide additional clues for further study of mechanisms of action (MOA), especially for NTI compounds.

Objective:To explore the feasibility of using two-dimensional speckle tracking echocardiography for measuring right ventricular strain and function in healthy adults, and to analyze the impact of age and gender.Methods:This study is a cross-sectional study. Healthy adults who underwent physical examination in the Physical Examination Center of Beijing Hospital from January 1, 2020 to January 1, 2021 were included. Two researchers independently measured various right ventricular longitudinal strain indices using the Echopac software, including (global longitudinal strain (GLS), apical longitudinal strain (ALS), midventricle longitudinal strain (MLS), basal longitudinal strain (BLS), free wall GLS (FWGLS), free wall ALS (FWALS), free wall MLS (FWMLS) and free wall BLS (FWBLS)) as well as tricuspid annular plane systolic excursion (TAPSE) and right ventricle-fraction of area change (RVFAC). The above indicators were taken as the average of two physicians. The consistency of the measurements by two physicians was evaluated by the within-group correlation coefficient ( ICC). Results:A total of 233 subjects were included, including 137 males, aged (58.5±14.2) years. ICC values was all above 0.8 with excellent agreement. The values of FWGLS and GLS in healthy adults were -26.63% and -21.89%, respectively. There was no statistically significant difference in TAPSE ((2.06±0.41)cm vs. (2.10±0.39)cm, P=0.510) and RVFAC ((51.17±9.91)% vs. (50.89±8.65)%, P=0.826) between males and females. The values of various right ventricular long axis strain indicators (GLS, ALS, MLS, BLS, FWGLS, FWMLS, FWMLS, FWBLS) in females aged 18 to 40 and 41 to 65 years were higher than those in males of the same age (all P<0.05), while there was no statistically significant difference in the values of various right ventricular long axis strain indicators between the sexes in subjects aged 65 years and above (all P>0.05). In females, the right ventricular GLS, ALS, MLS, FWGLS, FWALS, FWMLS, and FWBLS values in the groups aged 18 to 40 and 41 to 65 years were significantly higher than those in the group aged 65 years and above (all P<0.05). In contrast, no significant differences were found in these indices among different age groups in males (all P>0.05). Conclusions:Using two-dimensional speckle tracking technology in echocardiography to measure right ventricular strain indicators is feasible and highly reproducible. Gender and age have an impact on right ventricular strain indicators.

Objective:This study aimed to assess left atrial function in adults across various age groups using 4-dimensional automated left atrial quantification(4D Auto LAQ)technology.The study also aimed to compare the differences in two-dimensional(2D)and four-dimensional(4D)strains of the left atrium among different age groups, with the goal of enhancing the clinical utility of 4D Auto LAQ.Methods:A total of 409 healthy volunteers were recruited for the research.Two-dimensional and four-dimensional images were obtained using a GE Vivid E95 ultrasound system with a 4Vc four-dimensional probe.The study examined variations in 2D and 4D ultrasound parameters across various age groups.Furthermore, the relationship between left atrial reservoir strain(LASr), Left atrial conduit strain(LAScd), left atrial contraction strain(LASct), and age was explored.Results:The study involved 409 volunteers, with 217 males and 192 females, who were categorized into three age groups: young(18-45 years, n=56), middle-aged(46-65 years, n=202), and elderly(>65 years, n=151).Conventional ultrasound measurements indicated changes in left atrial anterior-posterior diameter with age progression: (31.70±3.65)mm for the young group, (34.02±3.91)mm for the middle-aged group, and(35.2±4.37)mm for the elderly group( P<0.01).The 2D and 4D left atrial parameters across the age groups were as follows: LASr(2D)(%): 37.48±7.51, 30.95±8.23, 26.9±7.56( P<0.01); LA VImax(ml/m 2): 23.54±5.79, 26.33±7.6, 28.99±8.15( P<0.01); LASr(%): 31.2±17.07, 22.5±8.59, 19.49±7.47( P<0.01).Both 2D and 4D left atrial parameters exhibited significant associations with age.Specifically, the correlations between LASr(2D)(%), LAScd(2D)(%), LASr(%), LAScd(%), and age were -0.429, 0.580, -0.354, 0.298, respectively( P<0.01). Conclusions:The 4D Auto LAQ technology is efficient in assessing left atrial function across various age groups, with age playing a significant role in influencing left atrial parameters.When compared to other ultrasound parameters, both 2D and 4D left atrial strain parameters have the ability to detect differences at an early stage, making them suitable for the early screening, evaluation, and monitoring of age-related left atrial dysfunction, especially in the elderly population.

Insulin-like growth factor 2 mRNA binding protein 2 (IGF2BP2) is a recognition protein for N⁶-methyladenosine (m⁶A), mediating the stability of downstream mRNA, and is a promising anti-tumor target. Based on the lead compound 1g from previous screening, this study designed and synthesized 52 IGF2BP2 small molecule inhibitors using thiazole hydrazone as the parent nucleus. Among them, 9g, 10g, 37g, 47g and 52g showed good inhibitory activities. This work represents an initial exploration in the development of small molecule inhibitors targeting IGF2BP2, using thiazolehydrazone as the core structure. It lays a foundation for subsequent related research.