A novel AKR1C3 specific prodrug AST-3424 and its combination therapy in hepatocellular carcinoma.

OBJECTIVE: AST-3424 is a novel specific aldo-keto reductase 1C3 (AKR1C3) prodrug that releases a DNA alkylating reagent upon reduction by AKR1C3. This study aimed to evaluate the efficacy and safety of AST-3424 in patient-derived tumor xenograft (PDTX) model and orthotopic model against hepatocellular carcinoma (HCC). MATERIALS AND METHOD: PDTX models derived from three HCC patients and orthotopic mice models using HepG2 cells were developed. The mice were treated with AST-3424 alone or combined with other drugs (oxaliplatin, apatinib, sorafenib and elemene in PDTX models, oxaliplatin and 5- fluorouracil in orthotopic models). The tumor volume and weight, as well as the mice weight were assessed. The liver tumor and transplanted tumor were removed for histological, immunohistochemical and Western blot detection in orthotopic model experiments. RESULTS: AST-3424 could inhibit tumor growth in HCC PDTX models and orthotopic models, with no difference in safety compared with other marketed drugs, and the drug combination did not increase toxicity. The inhibitory effect of combination treatment was more obvious than which used alone. The reduction of AKR1C3 expression was negatively correlated with AST-3424 dose. CONCLUSION: AST-3424 had a promising effect against HCC in PDTX model and orthotopic model with good safety. It could promote the sensitivity of other drugs without increasing toxicity. Clinical trials are warranted to further certify its antitumor effect and safety.

Early-onset pharyngeal airway collapse in infants: a retrospective single-center study.

BACKGROUND: Early-onset pharyngeal airway collapse (PAC) in infants, which presents with onset within 6-months old is relatively rare. This disease has not been given enough attention in clinic. The aim of this study was to explore the clinical features, endoscopic findings and outcomes of early-onset PAC in infants. METHODS: The children of PAC with onset within 6-months old were included. A retrospective study was conducted. RESULTS: (1) Total 26 cases were included. The age of onset was neonatal period in 20 cases, 1 to 3-months old in 5 cases, and 4 to 6-months old in 1 case. (2) The main clinical manifestations were noisy breathing (26/26), suprasternal retraction (18/26), snoring (14/26) and hypoxic episode (13/26). (3) Based on the endoscopic findings, collapse at the retropalatal level was most common (24/26). (4) Twelve cases underwent pharyngolaryngeal CT examination, which revealed abnormal findings in 7 cases. (5) Fifteen cases were accompanied with the other airway malformations. (6) In the group with comorbidities of cerebral impairment or craniofacial abnormalities, 1 case was lost to follow up, 4 cases died, and 10 cases survived, in which 9 cases had neurodevelopmental disorders. In the group without comorbidities, 2 cases were lost to follow up, 9 cases survived, in which 1 case had neurodevelopmental disorders. The incidence of poor prognosis including death and neurodevelopmental disorders was significantly higher in the group with comorbidities than that without comorbidities (P<0.01). (7) An symptomatic improvement of PAC was found in the majority of the survived cases (18/19) with age. CONCLUSIONS: Early-onset PAC in infants usually exhibits varying degrees of relief with age, whereas the cases with comorbidities had a poor prognosis.

Elucidating the molecular mechanisms underlying anti-inflammatory effects of Morchella esculenta in the arachidonic acid metabolic pathway by network pharmacology and molecular docking.

Morchella esculenta is an edible fungus with a uniquely delicious flavor and remarkable benefits for health. Herein, the molecular mechanism underlying the anti-inflammatory effects of Morchella esculenta was elucidated using molecular docking and network pharmacology. NPASS, Super-pred, SEA, Swiss Target Prediction, GeneCards, DisGeNET, Omim database, and STRING platform were used to select anti-inflammatory targets and construct target protein interaction networks using the active ingredients of Morchella esculenta. The OmicShare cloud platform was used to analyze GO functions and KEGG pathways related to the target, and the AutoDock Vina software was used to perform molecular docking and molecular dynamics (MD) simulation on the main target. Based on Cytoscape's "Network Analysis", the degree was used to identify potential key targets, and different inflammatory transcriptome data sets were used to evaluate core targets showing clinical significance. The active ingredient of Morchella esculenta identified from the NPASS database was EOYA, which had 43 anti-inflammatory targets, including NR1I2, PTGS1, PTGS2, CYP4F2, CYP3A4, TLR4, MAPK1, PLA2G4A, and PTPN11, and was mainly implicated in arachidonic acid metabolism, vascular endothelial growth factor signal pathway, and sphingomyelin signal transduction pathway, indicating that the anti-inflammatory effects of EOYA were mainly related to these biological processes. The degree was used to select 9 potential effective targets, namely NR1I2, PTGS1, PTGS2, CYP4F2, CYP3A4, TLR4, MAPK1, PLA2G4A, and PTPN11, among which NR1I2, PTGS1, PTGS2, PLA2G4A, MAPK1, CYP3A4, and TLR4 showed clinical significance. Molecular docking results showed that (E)-Octadec-11-En-9-Ynoic Acid (EOYA) could spontaneously bind to the 9 core targets, and the binding fractions of NR1I2, PTGS1, PTGS2, CYP4F2, and CYP3A4 were the highest. The MD simulation results showed that EYOA did indeed bind well NR1I2 to PTGS2, and the complex has high stability. Morchella esculenta can regulate the activity of prostaglandin endoperoxide synthetase, and affect the biosynthesis of prostaglandins, thereby impacting the metabolic pathway of arachidonic acid.

Role of microRNA-regulated cancer stem cells in recurrent hepatocellular carcinoma.

Among the most common cancers, hepatocellular carcinoma (HCC) has a high rate of tumor recurrence, tumor dormancy, and drug resistance after initial successful chemotherapy or radiotherapy. A small subset of cancer cells, cancer stem cells (CSCs), exhibit stem cell characteristics and are present in various cancers, including HCC. The dysregulation of microRNAs (miRNAs) often accompanies the occurrence and development of HCC. miRNAs can influence tumorigenesis, progression, recurrence, and drug resistance by regulating CSCs properties, which supports their clinical utility in managing and treating HCC. This review summarizes the regulatory effects of miRNAs on CSCs in HCC with a special focus on their impact on HCC recurrence.

Influence of surfactant on the permeability at different positions of a leaching column.

To solve the problems of poor permeability and low leaching rate in ore heap leaching, solid surface physical chemistry, seepage mechanics theory for porous media, CT scanning and SEM were used to carry out column leaching tests with a homemade segmented removable plexiglass column; the variation law for the permeability coefficients of each segment of the leaching column before and after leaching was analyzed. The experimental results showed that there was little difference in the permeability coefficient of ore at different heights before leaching. After leaching, the permeability coefficients were unevenly distributed along the column height, and the lowest value was located at the bottom of the leaching column. The addition of surfactant provided an obvious improvement in the permeability of the leaching column. The permeability coefficient at the bottom of the leaching column was 6% higher than that of the control group. At the same time, the addition of surfactant increased the leaching rate of ore by nearly 10%. A theoretical analysis showed that the surfactant improved the permeability of ore heaps mainly by preventing physical blockage by fine particles and inhibiting deposition of chemical products.

Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis.

Background: Artificial intelligence (AI) is more and more widely used in cancer, which is of great help to doctors in diagnosis and treatment. This study aims to summarize the current research hotspots in the Application of Artificial Intelligence in Cancer (AAIC) and to assess the research trends in AAIC. Methods: Scientific publications for AAIC-related research from 1 January 1998 to 1 July 2022 were obtained from the Web of Science database. The metrics analyses using bibliometrics software included publication, keyword, author, journal, institution, and country. In addition, the blustering analysis on the binary matrix was performed on hot keywords. Results: The total number of papers in this study is 1592. The last decade of AAIC research has been divided into a slow development phase (2013-2018) and a rapid development phase (2019-2022). An international collaboration centered in the USA is dedicated to the development and application of AAIC. Li J is the most prolific writer in AAIC. Through clustering analysis and high-frequency keyword research, it has been shown that AI plays a significantly important role in the prediction, diagnosis, treatment and prognosis of cancer. Classification, diagnosis, carcinogenesis, risk, and validation are developing topics. Eight hotspot fields of AAIC were also identified. Conclusion: AAIC can benefit cancer patients in diagnosing cancer, assessing the effectiveness of treatment, making a decision, predicting prognosis and saving costs. Future AAIC research may be dedicated to optimizing AI calculation tools, improving accuracy, and promoting AI.

Ditangquan exercises based on safe-landing strategies prevent falls and injury among older individuals with sarcopenia.

Background: Sarcopenia is the age-related loss of skeletal muscle mass and function; it is a risk factor for falls among older individuals. Few studies have focused on training such individuals to adopt a safe-landing strategy that would protect them from fall-related injuries. Ditangquan is a traditional Chinese martial art comprising movements that conform to the principles of safe landing. This study aims to investigate the effectiveness of Ditangquan in preventing fall-related injuries among older individuals with sarcopenia. Methods: A total of 70 participants (21 males and 49 females with sarcopenia) between 60 and 80 years of age were recruited from three local communities and randomly assigned to the Ditangquan exercise group (DG) or the control group (CG) in a 1:1 ratio. Three times a week for 24 weeks, both the DG and CG received an hour of conventional exercise and an hour of Ditangquan exercise based on safe landing. Primary outcomes were the modified falls efficacy scale (MFES), the number of falls, and fall injuries; the secondary outcome was the Timed Up & Go (TUG) test. Results: The DG had significantly fewer falls (1 vs. 8, P = 0.028) and fall injuries (0 vs. 6, P = 0.025) than the CG. Furthermore, at the end of the study, the DG had a significantly improved MFES (mean difference: 32.17 scores; 95% CI: 21.32, 43.02; P <0.001) and TUGT (mean difference: -4.94 s; 95% CI: -7.95, -1.93; P = 0.002) as compared with the CG. Conclusion: Ditangquan exercise based on the safe-landing strategy effectively improves the functional mobility of the elderly, reduces the occurrence of falls and injuries, and increases the individual's confidence in preventing falls.

[Comparison of sentinel lymph node detection by methylene blue and carbon nanoparticle suspension injection in early breast cancer].

OBJECTIVE: To compare the efficacy of methylene blue versus carbon nanopartIcles suspension injection as a tracer for sentinel lymph node detection in breast cancer and the factors associated with the definition of sentinel lymph node biopsy. METHODS: One hundred and sixteen patients with early breast cancer underwent intraoperative sentinel lymph node biopsy, among them 51 patients accepted injection of methylene blue dye, while 65 patients received carbon nanopartIcles suspension injection. The mapping procedures and SLNB were performed using subareolar or peritumoral injection of methylene blue or carbon nanopartIcles suspension injection at the site of the primary breast cancer, followed by the axi11ary lymph node dissection (ALND). All the SLN and ALN were evaluated pathologically post-operatively. RESULTS: In the MB group, the false-negative, sensitivity, accuracy, specificity rate of SLNB detection were 88.2%, 13.3%, 86.7%, 84.3%, and 100%, respectively. In the CNP group, the false-negative, sensitivity, accuracy, specificity rate of SLNB detection were 98.5%, 8.7%, 91.3%, 95.4%, and 100%, respectively. The false-negative, sensitivity, specificity rate in the CNP group were trended to be higher than those in the MB group, but the difference of the accuracy and detection rates are significant (P < 0.05). CONCLUSIONS: Compared with methylene blue solution, the carbon nanoparticle injection shows a better stability and operability for the sentinel lymph node detection in breast cancers.

Three-Dimensional Visualization of Myocardial Ischemia Based on the Standard Twelve-Lead Electrocardiogram.

A novel method was proposed for transforming the ischemic information in the 12-lead electrocardiogram (ECG) into the pseudo-color pattern displayed on a 3D heart model based on the projection of a ST injury vector in this study. The projection of the ST injury vector at a point on the heart surface was used for identifying the presence of myocardial ischemia by the difference between the projection value and the detection threshold. Supposing that myocardial ischemia was uniform and continuous, the location and range of myocardial ischemia could be accurately calculated and visually displayed in a color-encoding way. The diagnoses of the same patient were highly consistent (kappa coefficient k = 0.9030) between the proposed method used by ordinary people lacking medical knowledge and the standard 12-lead ECG used by experienced cardiologists. In addition, the diagnostic accuracy of the proposed method was further confirmed by the coronary angiography. The results of this study provide a new way to promote the development of the 3D visualization of the standard 12-lead ECG, which has a great help for inexperienced doctors or ordinary family members in their diagnosis of patients with myocardial ischemia.

Synthesis and biological evaluation of novel sarsasapogenin derivatives as potential anti-tumor agents.

Based on the fact that timosaponin A-III (TA-III) exhibits potent cytotoxic effects and has been considered as a potential anti-tumor agent, a range of novel sarsasapogenin derivatives 1, 2a-2g, 3, 4, 5, 6a-6g have been synthesized by a simple and facile synthetic route. The in vitro cytotoxic activity of these synthetic compounds has been evaluated against ten human cancer cell lines. The pharmacological results showed that most of the sarsasapogenin derivatives displayed excellent selective cytotoxicity toward the cancer cell lines. An amino group at C-3 or C-26 position of the sapogenin had a profound influence on the cytotoxic activity. In particular, compound 6c exhibited significantly inhibitory activity against A375-S2 (IC50=0.56µM) and HT1080 (IC50=0.72µM) cells. However, introducing a bromo or morpholinyl substituent at the C-3 and C-26 position of the sapogenin generally rendered it inactive against the human cancer cell lines. This research provides a theoretical reference for the exploration of new anti-tumor drugs.

Relative performance of two equations for estimation of glomerular filtration rate in a Chinese population having chronic kidney disease.

BACKGROUND: The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was developed to address the systematic underestimation of glomerular filtration rate (GFR) by the Modification of Diet in Renal Disease (MDRD) Study equation in patients with relatively well-preserved kidney function. Performance of the new equation in the Chinese population is unknown. The goal of the present study was to compare performance of these two equations in Chinese patients with chronic kidney disease (CKD). METHODS: We enrolled 450 Chinese patients (239 women and 211 men) with CKD in the present study. The renal dynamic imaging method was used to measure the referenced standard GFR (rGFR) for comparison with estimations using the two equations. Their overall performance was assessed with the Bland-Altman method and receiver-operating characteristics (ROC) analysis. Performance of the two equations in lower and higher estimated GFR (eGFR) subgroups was further investigated. RESULTS: Both eGFRs correlated well with rGFR (r = 0.88, 0.81, P < 0.05). In overall performance, the CKD-EPI equation showed less bias, higher precision and improved accuracy, and was better for detecting CKD. In the higher-eGFR subgroup, the CKD-EPI equation corrected the underestimation of GFR by the abbreviated MDRD equation. CONCLUSIONS: The CKD-EPI equation outperformed the abbreviated MDRD equation not only in overall performance but also in the subgroups studied. For the present, the CKD-EPI equation appears to be the first-choice prediction equation for estimating GFR.