Exploring the interconnection between international crude oil and silver rates volatilities: Novel evidence from the COVID-19 pandemic.

Several research studies globally focus on the volatility of gold and oil prices, neglecting an examination of silver price volatility in relation to other market commodities. The current Covid-19 pandemic has led to various uncertainties and fluctuations in financial and stock exchange markets, yet existing literature primarily concentrates on individual product rates rather than combined rate changes. Our study aims to bridge this research gap by analyzing the relationship between oil rates, silver rates, oil rate transitions, and silver rate transitions on the security exchange in China from 1990 to 2022, using the ARDL approach and Nonlinear ARDL for a comprehensive assessment. The findings reveal a significant impact of silver and oil rates on China's security exchange in the future, with the negative effects of oil rate changes and a positive effect of silver rate transitions. In the short term, oil and silver rates play a crucial role in influencing China's security exchange, highlighting the importance of monitoring these trends for investors. It is recommended that investors respond prudently to market transitions, particularly by considering silver as a secure option during times of uncertainty, while policymakers should implement appropriate measures to manage the rapid fluctuations from oil to the security market.

Legumain in cardiovascular diseases.

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, having become a global public health problem, so the pathophysiological mechanisms and therapeutic strategies of CVDs need further study. Legumain is a powerful enzyme that is widely distributed in mammals and plays an important role in a variety of biological processes. Recent research suggests that legumain is associated with the occurrence and progression of CVDs. In this review, we provide a comprehensive overview of legumain in the pathogenesis of CVDs. The role of legumain in CVDs, such as carotid atherosclerosis, pulmonary hypertension, coronary artery disease, peripheral arterial disease, aortic aneurysms and dissection, is discussed. The potential applications of legumain as a biomarker of these diseases are also explored. By understanding the role of legumain in the pathogenesis of CVDs, we aim to support new therapeutic strategies to prevent or treat these diseases.

Global trends in the application of fluorescence imaging in pancreatic diseases: a bibliometric and knowledge graph analysis.

Background: In recent years, with the continuous development of fluorescence imaging technology, research on its application in pancreatic diseases has surged. This area is currently of high research interest and holds the potential to become a non-invasive and effective tool in the diagnosis and treatment of pancreatic diseases. The objective of this study is to explore the hotspots and trends in the field of fluorescence imaging technology applications in pancreatic diseases from 2003 to 2023 through bibliometric and visual analysis. Methods: This study utilized the Web of Science (core collection) to identify publications related to the application of fluorescence imaging technology in pancreatic diseases from 2003 to 2023. Tools such as CiteSpace (V 6.2.R6), VOSviewer (v1.6.20), and R Studio (Bibliometrix: R-tool version 4.1.4) were employed to analyze various dimensions including publication count, countries, institutions, journals, authors, co-cited references, keywords, burst words, and references. Results: A comprehensive analysis was conducted on 913 papers published from January 1, 2003, to December 1, 2023, on the application of fluorescence imaging technology in pancreatic diseases. The number of publications in this field has rapidly increased, with the United States being the central hub. The University of California, San Diego emerged as the most active institution. "Biomaterials" was identified as the most influential journal. Authors with the most publications and the highest average citations per article are Hoffman, Robert M. and Luiken, George A., respectively. Keywords such as pancreatic cancer, cancer, expression, indocyanine green, and nanoparticles received widespread attention, with indocyanine green and nanoparticles being current active research hotspots in the field. Conclusion: This study is the first bibliometric analysis in the field of fluorescence imaging technology applications in pancreatic diseases. Our data will facilitate a better understanding of the developmental trends, identification of research hotspots, and direction in this field. The findings provide practical information for other scholars to grasp key directions and cutting-edge insights.

Glycolysis-related genes predict prognosis and indicate immune microenvironment features in gastric cancer.

BACKGROUND: Gastric cancer (GC) is a major contributor to cancer-related mortality. Glycolysis plays a pivotal role in tumor microenvironment (TME) reprogramming. In this research, the functions of glycolysis-associated genes (GRGs) were evaluated to predict the outcome and reveal the characteristics of the immune microenvironment in individuals with stomach cancer. METHODS: The Cancer Genome Atlas (TCGA)-stomach adenocarcinoma (STAD) cohort provided gene expression and clinical data for gastric cancer (GC) patients, which were further authenticated using datasets sourced from the Gene Expression Omnibus (GEO). By referencing the Molecular Signatures Database (MSigDB), a total of 326 GRGs were pinpointed. The various subtypes of GC were outlined through consensus clustering, derived from the expression patterns of these GRGs. Utilizing multivariate Cox regression analysis, a multigene risk score model was formulated. Both the CIBERSORT and ESTIMATE algorithms played a pivotal role in assessing the immune microenvironment. To delve into the biological functions of the key genes, wound healing, transwell invasion, and MTT assays were conducted. RESULTS: Based on the expression patterns of GRGs, patients were categorized into two distinct groups: the metabolic subtype, designated as cluster A, and the immune subtype, labeled as cluster B. Patients belonging to cluster B exhibited a poorer prognosis. A prognostic risk score model, formulated upon the expression levels of six key GRGs - ME1, PLOD2, NUP50, CXCR4, SLC35A3, and SRD35A3 - emerged as a viable tool for predicting patient outcomes. The downregulation of CXCR4 notably diminished the glycolytic capacity of gastric cancer (GC) cells, alongside their migratory, invasive, and proliferative capabilities. Intriguingly, despite the adverse prognostic implications associated with both the immune subtype (cluster B) and the high-risk cohort, these groups exhibited a favorable immune microenvironment coupled with elevated expression of immune checkpoint genes. Our investigations revealed a positive correlation between high CXCR4 expression and low ME1 expression with the infiltration of CD8+ T cells, as well as an enhanced responsiveness to treatment with an anti-PD-1 immune checkpoint inhibitor. CONCLUSIONS: In this study, we discovered that the expression profiles of GRGs hold the potential to forecast the prognosis of gastric cancer (GC) patients, thereby possibly aiding in clinical treatment decision-making.

FOXO-regulated OSER1 reduces oxidative stress and extends lifespan in multiple species.

FOXO transcription factors modulate aging-related pathways and influence longevity in multiple species, but the transcriptional targets that mediate these effects remain largely unknown. Here, we identify an evolutionarily conserved FOXO target gene, Oxidative stress-responsive serine-rich protein 1 (OSER1), whose overexpression extends lifespan in silkworms, nematodes, and flies, while its depletion correspondingly shortens lifespan. In flies, overexpression of OSER1 increases resistance to oxidative stress, starvation, and heat shock, while OSER1-depleted flies are more vulnerable to these stressors. In silkworms, hydrogen peroxide both induces and is scavenged by OSER1 in vitro and in vivo. Knockdown of OSER1 in Caenorhabditis elegans leads to increased ROS production and shorter lifespan, mitochondrial fragmentation, decreased ATP production, and altered transcription of mitochondrial genes. Human proteomic analysis suggests that OSER1 plays roles in oxidative stress response, cellular senescence, and reproduction, which is consistent with the data and suggests that OSER1 could play a role in fertility in silkworms and nematodes. Human studies demonstrate that polymorphic variants in OSER1 are associated with human longevity. In summary, OSER1 is an evolutionarily conserved FOXO-regulated protein that improves resistance to oxidative stress, maintains mitochondrial functional integrity, and increases lifespan in multiple species. Additional studies will clarify the role of OSER1 as a critical effector of healthy aging.

Identification of an autophagy- and macropinocytosis-related prognostic signature for the prediction of prognosis and therapeutic response in gastric cancer.

BACKGROUND: Traditional liquid biopsy markers show a low rate of positivity and accurate in gastric cancer. With the rapid advancement of sequencing technology, scientists have identified promising research avenues in this field. Autophagy and macropinocytosis utilize diverse pathways and mechanisms to supply resources and fuel for tumor growth. Nonetheless, their potential interplay introduces an untapped avenue for the discovery of novel tumor biomarkers. OBJECTIVE: To develop an innovative prognostic signature based on autophagy- and micropinocytosis-related genes, with the aim to predict the outcome and therapeutic response of gastric cancer patients. Additionally, to validate the prognostic impact of this signature, and elucidate the role of representative molecules in gastric cancer. METHODS: To construct and validate a prognostic signature for gastric cancer, bioinformatics methods such as COX regression, LASSO regression, survival analysis, ROC curve, and nomogram were utilized based on the sequencing and clinical data of gastric cancer patients retrieved from the TCGA and GEO databases. GSEA functional enrichment analyses were employed to predict the biological functions. Meanwhile, qRT-PCR and Western blot experiments were utilized to quantify the mRNA and protein expression levels. Furthermore, the EdU assay and colony formation assay were utilized to examine the cell proliferation ability while the Transwell assays were conducted to assess the migration and invasion abilities of gastric cancer cells. RESULTS: Through consistency clustering and univariate COX analyses, potential prognostic genes involved in both autophagy and macropinocytosis were identified. Based on these genes, a 9-gene signature was constructed, which demonstrated high accuracy in predicting gastric cancer patients' survival period, immunotherapeutic response, and chemotherapy drug tolerance. Furthermore, qRT-PCR analyses of gastric cancer tissue samples showed that the representative genes of this signature were aberrantly overexpressed in gastric cancer, with MATN3, as the most notable molecule, exhibiting significant carcinogenic effects on cancer cells by actively regulating their proliferation, migration, and invasion abilities. CONCLUSION: Our newly created prognostic signature possesses significant potential as a biomarker for gastric cancer, while MATN3 is identified as an oncogenic factor in gastric cancer. This brings to light new perspectives, which can contribute to enhancing the diagnosis and treatment of gastric cancer.

Endocrine cancer trends 1990-2021: global disparities and health inequalities.

This study provides a comprehensive analysis of global, continental, and national trends in the prevalence and mortality of prostate cancer (PC), breast cancer (BC), and thyroid cancer (TC). Utilizing 2021 Global Burden of Diseases (GBD2021) data, prevalence and death rates for 2021 were examined, with temporal trends from 1990 to 2021 analyzed via Joinpoint regression. Annual percentage change (APC) and average APC (AAPC) were calculated with 95% confidence intervals (CI). Distributive inequalities were quantified using the slope index of inequality and concentration index. In 2021, PC, BC, and TC showed higher global age-standardized prevalence rates (ASPR) in Europe and America compared to Africa and Asia, while higher age-standardized death rates (ASDR) for PC and BC were noted in Africa. Over the study period, significant global increases in ASPR were observed for PC (AAPC = 0.78, 95% CI: 0.67 to 0.89), BC (AAPC = 0.31, 95% CI: 0.24 to 0.37), and TC (AAPC = 1.42, 95% CI: 1.31 to 1.52). Conversely, ASDR significantly decreased for PC (AAPC = -0.83, 95% CI: -0.92 to -0.74), BC (AAPC = -0.48, 95% CI: -0.56 to -0.39), and TC (AAPC = -0.23, 95% CI: -0.29 to -0.17). Variations were observed across continents and time periods, affecting 204 countries and territories. higher social development index (SDI) levels were associated with a more pronounced burden of these cancers. The findings highlight significant global heterogeneity in prevalence, death rates, and temporal trends of endocrine cancers, with important implications for epidemiology and public health policies.

The panzootic spread of highly pathogenic avian influenza H5N1 sublineage 2.3.4.4b: a critical appraisal of One Health preparedness and prevention.

Changes in the epidemiology and ecology of H5N1 highly pathogenic avian influenza are devastating wild bird and poultry populations, farms and communities, and wild mammals worldwide. Having originated in farmed poultry, H5N1 viruses are now spread globally by wild birds, with transmission to many mammal and avian species, resulting in 2024 in transmission among dairy cattle with associated human cases. These ecological changes pose challenges to mitigating the impacts of H5N1 highly pathogenic avian influenza on wildlife, ecosystems, domestic animals, food security, and humans. H5N1 highly pathogenic avian influenza highlights the need for One Health approaches to pandemic prevention and preparedness, emphasising multisectoral collaborations among animal, environmental, and public health sectors. Action is needed to reduce future pandemic risks by preventing transmission of highly pathogenic avian influenza among domestic and wild animals and people, focusing on upstream drivers of outbreaks, and ensuring rapid responses and risk assessments for zoonotic outbreaks. Political commitment and sustainable funding are crucial to implementing and maintaining prevention programmes, surveillance, and outbreak responses.

Characterization of the complete chloroplast genome of Rhodiola sachalinensis and comparative analysis with its congeneric plants.

Rhodiola, belonging to the Crassulaceae family, is a perennial herbaceous plant genus. There are about 90 Rhodiola species worldwide, some of which have been reported to have medicinal properties. Rhodiola sachalinensis is a perennial medicinal herb within this genus and, in the present study, its chloroplast genome was sequenced, assembled, annotated and compared with 24 other Rhodiola species. The results obtained show that the chloroplast genome of R. sachalinensis is 151 595 bp long and has a CG content of 37.7%. The inverted repeats (IR) region of the Rhodiola chloroplast genome is the most conserved region, with the main differences being observed in the ycf1 and ndhF genes at the IRb-small single copy boundary, and rps19 and trnH genes at the IRa-large single copy boundary. Phylogenetic analysis showed that Rhodiola species form two major clades, and species with recorded medicinal properties, clustered together in one branch except for R. dumulosa. Within the genus, R. sachalinensis is most closely related to Rhodiola rosea, although comparative analyses showed that only R. sachalinensis and Rhodiola subopposita contained the psbZ gene, which encodes a highly conserved protein subunit of the Photosystem II core complex. Overall, the present study contributes to the understanding of the chloroplast genome of Rhodiola species, and provides a theoretical basis for the study of their genetic diversity and possible use as medicinal plants.

Ratiometric electrochemical aptasensor with strand displacement for insulin detection in blood samples.

BACKGROUND: Diabetes patients suffer either from insulin deficiency or resistance with a high risk of severe long-term complications, thus the quantitative assessment of insulin level is highly desired for diabetes surveillance and management. Utilizing insulin-capturing aptamers may facilitate the development of affordable biosensors however, their rigid G-quadruplex structures impair conformational changes of the aptamers and diminish the sensor signals. RESULTS: Here we report on a ratiometric, electrochemical insulin aptasensor which is achieved by hybridization of an insulin-capturing aptamer and a partially complementary ssDNA to break the rigid G-quadruplex structures. To improve the durability of the aptasensor, the capturing aptamer was immobilized on gold electrodes via two dithiol-phosphoramidite functional groups while methoxy-polyethylene glycol thiol was used as a blocking molecule. The exposure of the sensor to insulin-containing solutions induced the dissociation of the hybridized DNA accompanied by a conformational rearrangement of the capturing aptamer back into a G-quadruplex structure. The reliability of sensor readout was improved by the adoption of an AND logic gate utilizing anthraquinone and methylene blue redox probes associated to the aptamer and complementary strand, respectively. Our aptasensor possessed an improved detection limit of 0.15 nM in comparison to aptasensors without strand displacement. SIGNIFICANCE: The sensor was adapted for detection in real blood and is ready for future PoC diagnostics. The capability of monitoring the insulin level in an affordably manner can improve the treatment for an increasing number of patients in developed and developing nations. The utilization of low-cost and versatile aptamer receptors together with the engineering of ratiometric electrochemical signal recording has the potential to considerably advance the current insulin detection technology toward multi-analyte diabetes sensors.

A novel method combining deep learning with the Kennard-Stone algorithm for training dataset selection for image-based rice seed variety identification.

BACKGROUND: Different varieties of rice vary in planting time, stress resistance, and other characteristics. With advances in rice-breeding technology, the number of rice varieties has increased significantly, making variety identification crucial for both trading and planting. RESULTS: This study collected RGB images of 20 hybrid rice seed varieties. An enhanced deep super-resolution network (EDSR) was employed to enhance image resolution, and a variety classification model utilizing the high-resolution dataset demonstrated superior performance to that of the model using the low-resolution dataset. A novel training sample selection methodology was introduced integrating deep learning with the Kennard-Stone (KS) algorithm. Convolutional neural networks (CNN) and autoencoders served as supervised and unsupervised feature extractors, respectively. The extracted feature vectors were subsequently processed by the KS algorithm to select training samples. The proposed methodologies exhibited superior performance over the random selection approach in rice variety classification, with an approximately 10.08% improvement in overall classification accuracy. Furthermore, the impact of noise on the proposed methodology was investigated by introducing noise to the images, and the proposed methodologies maintained superior performance relative to the random selection approach on the noisy image dataset. CONCLUSION: The experimental results indicate that both supervised and unsupervised learning models performed effectively as feature extractors, and the deep learning framework significantly influenced the selection of training set samples. This study presents a novel approach for training sample selection in classification tasks and suggests the potential for extending the proposed method to image datasets and other types of datasets. Further exploration of this potential is warranted. © 2024 Society of Chemical Industry.

A Coupling-Induced Assembly Strategy for Constructing Artificial Shell on Mitochondria in Living Cells.

The strategy of in vivo self-assembly has been developed for improved enrichment and long-term retention of anticancer drug in tumor tissues. However, most self-assemblies with non-covalent bonding interactions are susceptible to complex physiological environments, leading to weak stability and loss of biological function. Here, we develop a coupling-induced assembly (CIA) strategy to generate covalently crosslinked nanofibers, which is applied for in situ constructing artificial shell on mitochondria. The oxidation-responsive peptide-porphyrin conjugate P1 is synthesized, which self-assemble into nanoparticles. Under the oxidative microenvironment of mitochondria, the coupling of thiols in P1 causes the formation of dimers, which is further ordered and stacked into crosslinked nanofibers. As a result, the artificial shell is constructed on the mitochondria efficiently through multivalent cooperative interactions due to the increased binding sites. Under ultrasound (US) irradiation, the porphyrin molecules in the shell produce a large amount of reactive oxygen species (ROS) that act on the adjacent mitochondrial membrane, exhibiting ~2-fold higher antitumor activity than nanoparticles in vitro and in vivo. Therefore, the mitochondria-targeted CIA strategy provides a novel perspective on improved sonodynamic therapy (SDT) and shows potential applications in antitumor therapies.

Phenotyping of Drought-Stressed Poplar Saplings Using Exemplar-Based Data Generation and Leaf-Level Structural Analysis.

Drought stress is one of the main threats to poplar plant growth and has a negative impact on plant yield. Currently, high-throughput plant phenotyping has been widely studied as a rapid and nondestructive tool for analyzing the growth status of plants, such as water and nutrient content. In this study, a combination of computer vision and deep learning was used for drought-stressed poplar sapling phenotyping. Four varieties of poplar saplings were cultivated, and 5 different irrigation treatments were applied. Color images of the plant samples were captured for analysis. Two tasks, including leaf posture calculation and drought stress identification, were conducted. First, instance segmentation was used to extract the regions of the leaf, petiole, and midvein. A dataset augmentation method was created for reducing manual annotation costs. The horizontal angles of the fitted lines of the petiole and midvein were calculated for leaf posture digitization. Second, multitask learning models were proposed for simultaneously determining the stress level and poplar variety. The mean absolute errors of the angle calculations were 10.7° and 8.2° for the petiole and midvein, respectively. Drought stress increased the horizontal angle of leaves. Moreover, using raw images as the input, the multitask MobileNet achieved the highest accuracy (99% for variety identification and 76% for stress level classification), outperforming widely used single-task deep learning models (stress level classification accuracies of <70% on the prediction dataset). The plant phenotyping methods presented in this study could be further used for drought-stress-resistant poplar plant screening and precise irrigation decision-making.

Point-of-Care Testing of Whole Blood for Liver Injury Auxiliary Diagnosis with Biothiols Activable Chemiluminescent Probe.

Liver injury significantly affects a patient's health and quality of life. However, timely and convenient diagnosis of this disease via whole blood detection remains challenging due to the lack of user-friendly and fast readout blood test methods. Herein, we developed such a method for the swift auxiliary diagnosis of liver injury via whole blood detection using a customed point-of-care testing (POCT) system consisting of a biothiols-activatable chemiluminescent probe and a hand-held POCT device. Biothiols served as the target to build the activable chemiluminescence probe due to their abnormal level in liver injury. Compared with fluorescent and electrical POCTs, this method is more convenient and has strong universality. By incorporating cyclodextrin via host-guest chemistry, we intensified chemiluminescence while mitigating chemical hemolysis caused by the dissolution of organic molecules, making this system suitable for whole blood analysis. Preliminary assessments in aqueous solutions, living cells, and mouse models confirmed its sensitivity, reliability, and feasibility. Simply mixing blood with the probe for 30 min yielded a clear signal readout within 15 s on the POCT device. Utilizing this portable detector, the reduced biothiol level was tested in 18 liver injury patient blood samples, and the results were similar to those measured by a commercial kit and in vivo imaging system. Thus, this work provides a universal platform for the fast and convenient detection of other biomarkers in whole blood samples and opens up possibilities for the rapid clinical diagnosis of diseases, enabling patients to conduct home self-examinations with ease.

The Epidemiological Characteristics of Mpox Cases - China, 2023.

What is already known about this topic?: Since May 2022, a global outbreak of mpox has emerged in more than 100 non-endemic countries. As of December 2023, over 90,000 cases had been reported. The outbreak has predominantly affected men who have sex with men (MSM), with sexual contact identified as the principal mode of transmission. What is added by this report?: Since June 2023, China has faced an occurrence of mpox, predominantly affecting the MSM population. Approximately 90% of those affected reported engaging in homosexual behavior within 21 days prior to symptom onset, a trend that aligns with the global outbreak pattern. The prompt identification of cases, diligent tracing of close contacts, and the implementation of appropriate management strategies have successfully mitigated the spread of mpox virus in China. What are the implications for public health practice?: We propose that mpox is transmitted locally within China. Drawing from our experiences in controlling the virus spread, it is crucial to investigate and formulate effective surveillance and educational strategies. Importantly, we must encourage high-risk populations to promptly seek medical care upon the onset of symptoms.

High-efficiency color-tunable ultralong room-temperature phosphorescence from organic-inorganic metal halides via synergistic inter/intramolecular interactions.

Materials exhibiting highly efficient, ultralong and multicolor-tunable room-temperature phosphorescence (RTP) are of practical importance for emerging applications. However, these are still very scarce and remain a formidable challenge. Herein, using precise structure design, several novel organic-inorganic metal-halide hybrids with efficient and ultralong RTP have been developed based on an identical organic cation (A). The original organic salt (ACl) exhibits red RTP properties with low phosphorescence efficiency. However, after embedding metals into the organic salt, the changed crystal structure endows the resultant metal-halide hybrids with excellent RTP properties. In particular, A2ZnCl4·H2O exhibits the highest RTP efficiency of up to 56.56% with a long lifetime of up to 159 ms. It is found that multiple inter/intramolecular interactions and the strong heavy-atom effect of the rigid metal-halide hybrids can suppress molecular motion and promote the ISC process, resulting in highly stable and localized triplet excitons followed by highly efficient RTP. More crucially, multicolor-tunable fluorescence and RTP achieved by tuning the metal and halogen endow these materials with wide application prospects in the fields of multilevel information encryption and dynamic optical data storage. The findings promote the development of phosphorescent metal-halide hybrids for potential high-tech applications.

Lathyrol reduces the RCC invasion and incidence of EMT via affecting the expression of AR and SPHK2 in RCC mice.

OBJECTIVE: To investigate the effects of Lathyrol on the expression of androgen receptor (AR) and sphingosine kinase 2 (SPHK2) in renal cell carcinoma (RCC) mice and to further explore the mechanism by which Lathyrol inhibits the invasion and incidence of epithelial-mesenchymal transition (EMT). METHODS: An RCC xenograft mouse model was constructed, and the mice were randomly divided into a model group, an experiment group and a negative control group. The experiment group was intragastrically gavaged with Lathyrol solution (20 mg/kg), the model group was intragastrically gavaged with 0.9% NaCl (same volume as that used in the experiment group), and the negative control group was injected intraperitoneally with 2 mg/kg cisplatin aqueous solution. Changes in the body weight and tumor volume of the mice were recorded. Western blot (WB) was used to assess the protein expression levels of AR, p-AR, CYP17A1, PARP1, E-cadherin, N-cadherin, vimentin, α-SMA, ß-catenin, and ZO-1. Protein expression levels of SPHK2, metal matrix protease 2 (MMP2), MMP9 and urokinase-type plasminogen activator (uPA) in tumor tissues were assessed by immunohistochemistry (IHC). AR expression in tumor tissues was assessed after immunofluorescence (IF) staining. RESULTS: After 14 days of drug administration, compared with that in the model group, the tumor volumes in the negative control and experiment groups were lower; the difference in tumor volume among the model, control and experiment groups was statistically significant (P < 0.05). The differences in body weight among the three groups were not statistically significant (P > 0.05). In the model group, the protein expression levels of AR, p-AR, CYP17A1, SPHK2, and PARP1 were relatively increased, the protein expression levels of E-cadherin and ZO-1 were relatively reduced (P < 0.05), and the protein expression levels of N-cadherin, ß-catenin, vimentin, and α-SMA were relatively increased (P < 0.05). In the negative control and experiment groups, the protein expression levels of AR, p-AR, CYP17A1, SPHK2, and PARP1 were relatively decreased (P < 0.05), the protein expression levels of E-cadherin and ZO-1 were relatively increased (P < 0.05), and the protein expression levels of N-cadherin, ß-catenin, vimentin and α-SMA were relatively decreased (P < 0.05). CONCLUSION: Lathyrol and cisplatin inhibit the proliferation of RCC xenografts, reduce the protein expression levels of AR, CYP17A1, SPHK2, PARP1, E-cadherin, and ZO-1 in tumor tissues (P < 0.05), and promote the protein expression levels of N-cadherin, ß-catenin, vimentin and α-SMA (P < 0.05). Therefore, Lathyrol reduces RCC invasion and EMT by affecting the expression of AR and SPHK2 in RCC mice.

CircARAP2 controls sMICA-induced NK cell desensitization by erasing CTCF/PRC2-induced suppression in early endosome marker RAB5A.

Natural killer cells (NK) are the "professional killer" of tumors and play a crucial role in anti-tumor immunotherapy. NK cell desensitization is a key mechanism of tumor immune escape. Dysregulated NKG2D-NKG2DL signaling is a primary driver of this desensitization process. However, the factors that regulate NK cell desensitization remain largely uncharacterized. Here, we present the first report that circular RNA circARAP2 (hsa_circ_0069396) is involved in the soluble MICA (sMICA)-induced NKG2D endocytosis in the NK cell desensitization model. CircARAP2 was upregulated during NK cell desensitization and the loss of circARAP2 alleviated NKG2D endocytosis and NK cell desensitization. Using Chromatin isolation by RNA purification (ChIRP) and RNA pull-down approaches, we identified that RAB5A, a molecular marker of early endosomes, was its downstream target. Notably, transcription factor CTCF was an intermediate functional partner of circARAP2. Mechanistically, we discovered that circARAP2 interacted with CTCF and inhibited the recruitment of CTCF-Polycomb Repressive Complex 2 (PRC2) to the promoter region of RAB5A, thereby erasing histone H3K27 and H3K9 methylation suppression to enhance RAB5A transcription. These data demonstrate that inhibition of circARAP2 effectively alleviates sMICA-induced NKG2D endocytosis and NK cell desensitization, providing a novel target for therapeutic intervention in tumor immune evasion.

A novel strategy for improving bowel preparation based on social software-enhanced education: A prospective, multicenter, randomized controlled study.

BACKGROUND AND AIM: The compliance and timeliness of oral laxatives have always been the key factors restricting bowel preparation (BP). We have constructed a novel enhanced-educational content and process based on social software (SS) for BP to optimize these issues. METHODS: A multicenter, prospective, randomized controlled study was conducted at 13 hospitals in China from December 2019 to December 2020. A total of 1774 enrollees received standard instructions for BP and were randomly assigned (1:1) to the SS group (SSG) that received a smartphone-based enhanced-education strategy starting 4 h before colonoscopy or the control group (CG). RESULTS: A total of 3034 consecutive outpatient colonoscopy patients were assessed for eligibility, and 1774 were enrolled and randomly assigned. Ultimately, data from 1747 (SSG vs CG: 875 vs 872) enrollees were collected. The BP adequacy rate was 92.22% (95% CI: 90.46-93.98) in the SSG vs 88.05% (95% CI: 85.91-90.18) in the CG (P = 0.005), and the total Boston Bowel Preparation Scale scores (6.89 ± 1.15 vs 6.67 ± 1.15, P < 0.001) of those in the SSG were significantly higher than those in the CG. The average number of polyps detected in the SSG was considerably higher than that in the CG (0.84 ± 2.00 vs 0.53 ± 1.19, P = 0.037), and the average diameter of the polyps was significantly lower than that of the control group (4.0 ± 2.5 vs 4.9 ± 3.7, P < 0.001). CONCLUSIONS: This SS-enhanced education strategy can improve the BP adequacy rate and increase the average number of polyps detected, especially those of small diameter.

Clinical research progress on acupuncture for the treatment of otogenic vertigo.

Otogenic vertigo is a common disorder that affects the vestibular system, which often results in considerable discomfort and impaired daily functioning. Traditional Chinese medicine (TCM), including acupuncture and moxibustion, has been historically utilized to manage the symptoms of vertigo. However, the effectiveness and methodology of these treatments have rarely been investigated in the medical literature. This study reviews the existing literature on the point selection, method, and therapeutic effect of acupuncture and moxibustion to provide a reference for the TCM treatment of otogenic vertigo. A literature search was performed using the PubMed search engine. The terms used included otogenic vertigo, acupuncture treatment, and acupuncture point selection. A total of 34 relevant articles were retrieved from PubMed. These suggest that the clinical treatment of otogenic vertigo should consider the functions of zang-fu organs and meridians and select different acupuncture treatment methods according to syndrome differentiation based on the difference between deficiency and excess. Acupuncture and moxibustion therapy should be based on acupoint selection, considering the syndrome differentiation, supplemented with experience. The treatment of otogenic vertigo with acupuncture and moxibustion refers to the selection of appropriate acupuncture methods under the guidance of TCM theory and following the principles of syndrome, disease, and meridian differentiation. Common acupuncture methods include body acupuncture, auricular acupuncture, scalp acupuncture, acupoint injection, electroacupuncture, and moxibustion. There are many acupuncture and moxibustion acupoints selected for the treatment of otogenic vertigo. Individualized treatment according to the patient's specific condition is effective and safe, which can help to improve the patient's vertigo symptoms and cerebral blood perfusion.