Identification of N7-methylguanosine-related miRNAs as potential biomarkers for prognosis and drug response in breast cancer.

Objectives: The impact of N7-methylguanosine (m7G) on tumor progression and the regulatory role of microRNAs (miRNAs) in immune function significantly influence breast cancer (BC) prognosis. Investigating the interplay between m7G modification and miRNAs provides novel insights for assessing prognostics and drug responses in BC. Materials and methods: RNA sequences (miRNA and mRNA profiles) and clinical data for BC were acquired from the Cancer Genome Atlas (TCGA) database. A miRNA signature associated with 15 m7G in this cohort was identified using Cox regression and LASSO. The risk score model was evaluated using Kaplan-Meier and time-dependent ROC analysis, categorizing patients into high-risk and low-risk groups. Functional enrichment analyses were conducted to explore potential pathways. The immune system, including scores, cell infiltration, function, and drug sensitivity, was examined and compared between high-risk and low-risk groups. A nomogram that combines risk scores and clinical factors was developed and validated. Single-sample gene set enrichment analysis (ssGSEA) was employed to explore m7G-related miRNA signatures and immune cell relationships in the tumor microenvironment. Additionally, drug susceptibility was compared between risk groups. Results: Fifteen m7G-related miRNAs were independently correlated with overall survival (OS) in BC patients. Time-dependent ROC analysis yielded area under the curve (AUC) values of 0.742, 0.726, and 0.712 for predicting 3-, 5-, and 10-year survival rates, respectively. The Kaplan-Meier analysis revealed a significant disparity in OS between the high-risk and low-risk groups (p = 1.3e-6). Multiple regression identified the risk score as a significant independent prognostic factor. An excellent calibration nomogram with a C-index of 0.785 (95 % CI: 0.728-0.843) was constructed. In immune analysis, low-risk patients exhibited heightened immune function and increased responsiveness to immunotherapy and chemotherapy compared to high-risk patients. Conclusion: This study systematically analyzed m7G-related miRNAs and revealed their regulatory mechanisms concerning the tumor microenvironment (TME), pathology, and the prognosis of BC patient. Based on these miRNAs, a prognostic model and nomogram were developed for BC patients, facilitating prognostic assessments. These findings can also assist in predicting treatment responses and guiding medication selection.

A novel machine learning prediction model for metastasis in breast cancer.

BACKGROUND: Breast cancer (BC) metastasis is the common cause of high mortality. Conventional prognostic criteria cannot accurately predict the BC metastasis risk. The machine learning technologies can overcome the disadvantage of conventional models. AIM: We developed a model to predict BC metastasis using the random survival forest (RSF) method. METHODS: Based on demographic data and routine clinical data, we used RSF-recursive feature elimination to identify the predictive variables and developed a model to predict metastasis using RSF method. The area under the receiver operating characteristic curve (AUROC) and Kaplan-Meier survival (KM) analyses were plotted to validate the predictive effect when C-index was plotted to assess the discrimination and Brier scores was plotted to assess the calibration of the predictive model. RESULTS: We developed a metastasis prediction model comprising three variables (pathological stage, aspartate aminotransferase, and neutrophil count) selected by RSF-recursive feature elimination. The model was reliable and stable when assessed by the AUROC (0.932 in training set and 0.905 in validation set) and KM survival analyses (p < .0001). The C-indexes (0.959) and Brier score (0.097) also validated the good predictive ability of this model. CONCLUSIONS: This model relies on routine data and examination indicators in real-time clinical practice and exhibits an accurate prediction performance without increasing the cost for patients. Using this model, clinicians can facilitate risk communication and provide precise and efficient individualized therapy to patients with breast cancer.

LncRNA MEG3 Reduces the Ratio of M2/M1 Macrophages Through the HuR/CCL5 Axis in Hepatocellular Carcinoma.

Objective: Tumor-associated macrophages play a crucial role in the development of hepatocellular carcinoma (HCC). Our study aimed to investigate the relationship between long coding RNA (lncRNA) maternally expressed gene 3 (MEG3), RNA-binding protein human antigen R (HuR), and messenger RNA C-C motif chemokine 5 (CCL5) in the modulation of M1 and M2 macrophage polarization in HCC. Methods: To induce M1 or M2 polarization, LPS/IFNγ- or IL4/IL13 were used to treat bone marrow derived macrophages (BMDMs). The localization of MEG3 in M1 and M2 macrophages was assessed using fluorescence in situ hybridization assay. Expression levels of MEG3, HuR, CCL5, M1, and M2 markers were measured by RT-qPCR or immunofluorescence staining. Flow cytometry was performed to determine the proportion of F4/80+CD206+ and F4/80+CD68+ cells. RNA pulldown assay was performed to detect the binding of lncRNA MEG3 and HuR. The impacts of HuR on CCL5 stability and activity of CCL5 promoter were evaluated using actinomycin D treatment and luciferase reporter assay. Cell migration, invasiveness, and angiogenesis were assessed using transwell migration and invasion assays and a tube formation assay. A mixture of Huh-7 cells and macrophages were injected into nude mice to explore the effect of MEG3 on tumorigenesis. Results: MEG3 promoted M1-like polarization while dampening M2-like polarization of BMDMs. MEG3 bound to HuR in M1 and M2 macrophages. HuR downregulated CCL5 by inhibiting CCL5 transcription in macrophages. In addition, overexpression of MEG3 suppressed cell metastasis, invasion, and angiogenesis by obstructing macrophage M2 polarization. MEG3 inhibited tumorigenesis in HCC via promotion of M1-like polarization and inhibition of M2-like polarization. Rescue experiments showed that depletion of CCL5 in M2 macrophages reversed MEG3-induced suppressive effect on cell migration, invasion, and tube formation. Conclusion: MEG3 suppresses HCC progression by promoting M1-like while inhibiting M2-like macrophage polarization via binding to HuR and thus upregulating CCL5.

A Head-to-Head Comparison of EQ Health and Wellbeing and EQ-5D-5L in Patients, Carers, and General Public in China.

OBJECTIVES: This study aimed to understand the psychometric properties of EQ Health and Wellbeing (EQ-HWB) and to examine its relationship with EQ-5D-5L in a sample covering patients, carers, and general public. METHODS: A cross-sectional study was conducted in Guizhou Province, China. The acceptability, convergent validity (using Spearman correlation coefficients), internal structure (using exploratory factor analysis), and known-group validity of EQ-HWB, EQ-HWB-Short (EQ-HWB-S), and EQ-5D-5L were reported and compared. RESULTS: A total of 323 participants completed the survey, including 106 patients, 101 carers, and 116 individuals from the general public. Approximately 7.4% of participants had at least 1 missing response. In the EQ-HWB and EQ-5D-5L items related to activities, there were more level 1 responses. The correlations between EQ-HWB and EQ-5D-5L items ranged from low to high, confirming the convergent validity of similar aspects between the 2 instruments. Notably, EQ-HWB measures 2 additional factors compared with EQ-5D-5L or EQ-HWB-S, both of which share 3 common factors. When the patient group was included, EQ-5D-5L had the largest effect size, but it failed to differentiate between the groups of general public and carers. Both EQ-HWB and EQ-HWB-S demonstrated better known-group validity results when carers were included. CONCLUSIONS: EQ-HWB measures a broader quality of life construct that goes beyond health measured by EQ-5D-5L. By encompassing a broader scope, the impact of healthcare interventions may become diluted, given that other factors can influence wellbeing outcomes as significantly as health conditions do.

GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.

The recent advances of single-cell RNA sequencing (scRNA-seq) have enabled reliable profiling of gene expression at the single-cell level, providing opportunities for accurate inference of gene regulatory networks (GRNs) on scRNA-seq data. Most methods for inferring GRNs suffer from the inability to eliminate transitive interactions or necessitate expensive computational resources. To address these, we present a novel method, termed GMFGRN, for accurate graph neural network (GNN)-based GRN inference from scRNA-seq data. GMFGRN employs GNN for matrix factorization and learns representative embeddings for genes. For transcription factor-gene pairs, it utilizes the learned embeddings to determine whether they interact with each other. The extensive suite of benchmarking experiments encompassing eight static scRNA-seq datasets alongside several state-of-the-art methods demonstrated mean improvements of 1.9 and 2.5% over the runner-up in area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC). In addition, across four time-series datasets, maximum enhancements of 2.4 and 1.3% in AUROC and AUPRC were observed in comparison to the runner-up. Moreover, GMFGRN requires significantly less training time and memory consumption, with time and memory consumed <10% compared to the second-best method. These findings underscore the substantial potential of GMFGRN in the inference of GRNs. It is publicly available at https://github.com/Lishuoyy/GMFGRN.

Protective Effects of Danmu Extract Syrup on Acute Lung Injury Induced by Lipopolysaccharide in Mice through Endothelial Barrier Repair / 中国结合医学杂志

OBJECTIVE@#To investigate the effects of Danmu Extract Syrup (DMS) on lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice and explore the mechanism.@*METHODS@#Seventy-two male Balb/C mice were randomly divided into 6 groups according to a random number table (n=12), including control (normal saline), LPS (5 mg/kg), LPS+DMS 2.5 mL/kg, LPS+DMS 5 mL/kg, LPS+DMS 10 mL/kg, and LPS+Dexamethasone (DXM, 5 mg/kg) groups. After pretreatment with DMS and DXM, the ALI mice model was induced by LPS, and the bronchoalveolar lavage fluid (BALF) were collected to determine protein concentration, cell counts and inflammatory cytokines. The lung tissues of mice were stained with hematoxylin-eosin, and the wet/dry weight ratio (W/D) of lung tissue was calculated. The levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-6 and IL-1 β in BALF of mice were detected by enzyme linked immunosorbent assay. The expression levels of Claudin-5, vascular endothelial (VE)-cadherin, vascular endothelial growth factor (VEGF), phospho-protein kinase B (p-Akt) and Akt were detected by Western blot analysis.@*RESULTS@#DMS pre-treatment significantly ameliorated lung histopathological changes. Compared with the LPS group, the W/D ratio and protein contents in BALF were obviously reduced after DMS pretreatment (P<0.05 or P<0.01). The number of cells in BALF and myeloperoxidase (MPO) activity decreased significantly after DMS pretreatment (P<0.05 or P<0.01). DMS pre-treatment decreased the levels of TNF-α, IL-6 and IL-1 β (P<0.01). Meanwhile, DMS activated the phosphoinositide 3-kinase/protein kinase B (PI3K/Akt) pathway and reversed the expressions of Claudin-5, VE-cadherin and VEGF (P<0.01).@*CONCLUSIONS@#DMS attenuated LPS-induced ALI in mice through repairing endothelial barrier. It might be a potential therapeutic drug for LPS-induced lung injury.

Surveillance results of diarrhea in Minhang District of Shanghai City in 2018-2020 / 公共卫生与预防医学

Objective To investigate the epidemic features and pathogen spectrum distribution of diarrhea cases in Minhang District of Shanghai City so as to provide scientific evidence for developing prevention and control measures. Methods Surveillance on diarrhea was conducted in sentinel hospitals in Minghang District from 2018 to 2020. According to the quantity of outpatients in the monitoring hospital, the stool samples were collected by systematic sampling method according to the fixed interval proportion in the case queue which met the requirements of the monitored cases, and the pathogenic composition and epidemiological characteristics were analyzed. Results Among the 721 samples detected , 307(42.58%) were pathogen positive, The main positive bacteria was Vibrio parahaemolyticus, which accounted for 36.11%(39/108) among all positive bacteria.The main positive virus was norovirus GII, which accounted for 24.43%(75/307) among all positive virus. Positive cases were detected among all age groups. 81 positive cases (26.38%) were detected among 31-40 years old, with the highest detection rate. There was no difference in the positive detection rate between genders(χ2= 1.95, P = 0.16). The positive cases showed two peaks during the season of winter and spring. The positive rate of bacteria was highest in the third quarter and positive rate of viruses was highest in the first quarter. The mixed infection rate of bacteria and viruses was highest in the second quarter. Conclusions Diarrhea cases in Minhang District of Shanghai from 2018 to 2020 is caused by a variety of pathogens and related seasonality is obvious in Minghang District, Shanghai City in 2018-2020. It is necessary to take specific prevention based on various pathogens to reduce the incidence of diarrhea.

Study on the potential allergen and mechanism of pseudo-allergic reactions induced by combined using of Reduning injection and penicillin G injection based on metabolomics and bioinformatics / 药学学报

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Mechanism of Medicated Serum of Buyang Huanwutang in Inhibiting Endothelial-to-mesenchymal Transition of Human Pulmonary Artery Endothelial Cells Based on Wnt1/β-catenin Signaling Pathway / 中国实验方剂学杂志

ObjectiveTo investigate the role of the Wnt1/β-catenin signaling pathway in the intervention of medicated serum of Buyang Huanwutang （BYHWT） in endothelial-to-mesenchymal transition （EndMT） of human pulmonary artery endothelial cells （HPAECs） as well as its related mechanisms. MethodMedicated serum of BYHWT was prepared by gavage to New Zealand rabbits with a dosage of 53.36 g·kg-1·d-1 after decocting the medicine as usual. In addition， the same volume of normal saline was used to prepare blank serum. The HPAECs were cultured in vitro， and then induced by the transforming growth factor-β1 （TGF-β1） to establish the EndMT model. Five groups were established： blank group （10% blank serum）， model group （TGF-β1+10% blank serum）， low-dose BYHWT group （TGF-β1+2.5% medicated serum+7.5% blank serum）， medium-dose BYHWT group （TGF-β1+5% medicated serum+5% blank serum） and high-dose BYHWT group （TGF-β1+10% medicated serum）. Through Western blot， the expressions of Wnt1， β-catenin， and glycogen synthase kinase-3β （GSK-3β） were detected. In order to further clarify the mechanism of the Wnt1/β-catenin signaling pathway in the intervention of the medicated serum of BYHWT in inhibiting EndMT， the overexpression of β-catenin was confirmed by polymerase chain reaction after plasmid of overexpression β-catenin was constructed and transfected into the HPAECs. The HPAECs were intervened by 10% medicated serum with the optimal effect in previous studies. Then， they were divided into another five groups： the blank group （10% blank serum）， the model group （TGF-β1+10% blank serum）， the BYHWT group （TGF-β1+10% medicated serum）， the BYHWT+overexpression plasmid control group （TGF-β1+10% medicated serum+blank plasmid） and the BYHWT+β-catenin overexpression plasmid group （TGF-β1+10% medicated serum+β-catenin）. Apart from that， cell proliferation ability was detected by the methyl thiazolyl tetrazolium （MTT） method and cell migration ability by scratch assay and Transwell assay together. Immunofluorescence was adopted to detect the expressions of platelet endothelial cell adhesion molecule （PECAM-1/CD31）， vascular endothelial cadherin （VE-cadherin）， fibroblast-specific protein 1 （FSP1）， and α-smooth muscle actin （α-SMA）. ResultIn comparison to the blank group， the expressions of Wnt1 and β-catenin were significantly increased （P<0.01） while the expression of GSK-3β significantly decreased （P<0.01） in the model group. In comparison to the model group， the expressions of Wnt1 and β-catenin were significantly decreased （P<0.01） while the expression of GSK-3β was significantly increased （P<0.01） in the high-dose BYHWT group. The expression of β-catenin was significantly decreased （P<0.01） while the expression of GSK-3β was significantly increased （P<0.01） in the medium-dose BYHWT group. There was no significant difference in these indexes of the low-dose BYHWT group. In comparison to the blank group， proliferation and migration abilities were remarkably increased （P<0.01） and the immunofluorescence intensities of CD31 and VE-cadherin were decreased， while those of FSP1 and α-SMA were increased in the model group. In comparison to the model group， proliferation and migration abilities were significantly decreased （P<0.01） and the immunofluorescence intensities of CD31 and VE-cadherin were increased， while those of FSP1 and α-SMA diminished in the BYHWT group. Beyond that， the change trend of those indexes in the BYHWT+β-catenin overexpression plasmid group was consistent with that in the model group. In comparison to the BYHWT+overexpression plasmid control group， proliferation and migration abilities were significantly increased （P<0.01） and the immunofluorescence intensities of CD31 and VE-cadherin were decreased， while those of FSP1 and α-SMA were increased in the BYHWT+β-catenin overexpression plasmid group. ConclusionMedicated serum of BYHWT can inhibit EndMT of HPAECs by the Wnt1/β-catenin signaling pathway.

Structural Validation and Measurement Invariance Testing of the Chinese Version of the eHealth Literacy Scale Among Undergraduates: Cross-Sectional Study.

BACKGROUND: The eHealth Literacy Scale (eHEALS) was introduced in China in 2013 as one of the most important electronic health literacy measurement instruments. After a decade of development in China, it has received widespread attention, although its theoretical underpinnings have been challenged, thus demanding more robust research evidence of factorial validity and multigroup measurement properties. OBJECTIVE: This study aimed to evaluate the Chinese version of the eHEALS in terms of its measurement properties. METHODS: A cross-sectional survey was conducted in a university setting in China. Item statistics were checked for response distributions and floor and ceiling effects. Internal consistency reliability was confirmed with Cronbach α, split-half reliability, Cronbach α if an item was deleted, and item-total correlation. A total of 5 representative eHEALS factor structures were examined and contrasted using confirmatory factor analysis. The study used the item-level content validity index (I-CVI) and the average of the I-CVI scores of all items on the scale to assess the content validity of the dominance model. Furthermore, the validated dominance model was subsequently used to evaluate the relevance and representation of elements in the instrument and to assess measurement invariance across genders. RESULTS: A total of 972 respondents were identified, with a Cronbach α of .92, split-half reliability of 0.88, and item-total score correlation coefficients ranging from 0.715 to 0.781. Cronbach α if an item was deleted showed that all items should be retained. Acceptable content validity was supported by I-CVIs ≥0.80. The confirmatory factor analysis confirmed that the 3-factor model was acceptable. The measurement model met all relevant fit indices: average variance extracted from 0.663 to 0.680, composite reliability from 0.810 to 0.857, chi-square divided by the df of 4.768, root mean square error of approximation of 0.062, standardized root mean squared residual of 0.020, comparative fit index (CFI) of 0.987, and Tucker-Lewis index of 0.979. In addition, the scale demonstrated error variance invariance (Δnormed fit index=-0.016, Δincremental fit index=-0.012, ΔTucker-Lewis index=0.005, Δcomparative fit index=-0.012, Δrelative fit index=0.005, and Δroot mean square error of approximation=0.005). CONCLUSIONS: A 3-factor model of the Chinese version of the eHEALS fits best, and our findings provide evidence for the strict measurement invariance of the instrument regarding gender.

Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction.

Accurate identification of inter-chain contacts in the protein complex is critical to determine the corresponding 3D structures and understand the biological functions. We proposed a new deep learning method, ICCPred, to deduce the inter-chain contacts from the amino acid sequences of the protein complex. This pipeline was built on the designed deep residual network architecture, integrating the pre-trained language model with three multiple sequence alignments (MSAs) from different biological views. Experimental results on 709 non-redundant benchmarking protein complexes showed that the proposed ICCPred significantly increased inter-chain contact prediction accuracy compared to the state-of-the-art approaches. Detailed data analyses showed that the significant advantage of ICCPred lies in the utilization of pre-trained transformer language models which can effectively extract the complementary co-evolution diversity from three MSAs. Meanwhile, the designed deep residual network enhances the correlation between the co-evolution diversity and the patterns of inter-chain contacts. These results demonstrated a new avenue for high-accuracy deep-learning inter-chain contact prediction that is applicable to large-scale protein-protein interaction annotations from sequence alone.

Depression is associated with heart failure in patients with type 2 diabetes mellitus.

Background: Type 2 diabetes mellitus (T2DM) is associated with an increased risk of heart failure (HF). Depression, a common comorbidity of T2DM, may further increase the risk of heart failure (HF). We investigated the association between depression and incident HF in patients with T2DM. Methods and results: Depressive symptoms were assessed in the ACCORD Health-Related Quality of Life study participants at baseline, 12, 36, and 48 months using the nine-item Patient Health Questionnaire (PHQ-9). The severity of depressive symptoms was categorized as none (0-4 points), mild (5-9 points), or moderate-severe (10-24 points). Cox regression with PHQ-9 as a time-dependent covariate was used to assess the association between depression and incident HF. During the median follow-up of 8.1 years, 104 participants developed HF (incidence: 7.1/1,000 person-years). Half of the participants with moderate-severe depression were relieved and a significant percentage of participants without depression or with mild depression worsened to mild or moderate-severe depression during the follow-up period, respectively. Each unit increase in the PHQ-9 score was associated with a 5% higher risk of HF (hazard ratio [HR]:1.05, 95% confidence interval [CI]: 1.01-1.10). Patients with depression ever (HR: 2.23, 95% CI: 1.25-3.98) or persistent depression (HR: 2.13, 95% CI: 1.05-4.44) had a higher risk of HF than those without depression ever. Conclusion: Depressive symptoms change greatly in T2DM patients, depressive symptoms are an independent risk factor for HF. These results reinforce the importance of continuous evaluation and management of mental health status in T2DM patients with high HF risk.

Anatomical study of the technique of the axis laminar screws and development of guide.

PURPOSE: To develop a bidirectional slide guide to assist screw placement in the axial lamina and to preliminarily discuss the accuracy and feasibility of auxiliary screw placement. METHODS: CT data from 40 randomly selected patients were imported into the software for modelling, and cross-pinning was used to simulate pinning. According to the different crossing methods of the upper and lower laminar screws, they are divided into two groups. In the software, the position of the needlepoint of each screw is accurately measured, and the needle point is kept unchanged to simulate the movable range of the screw tail under the condition that the body does not penetrate the cortical bone. The data were compared by grouping and gender. Finally, the guide was designed by combining the screw exit point and fine adjustment angle data of all patients with the centripetal principle of the slide rail. RESULTS: The needle exit data L1/L2/L3/L4 were 6.44 ± 0.52 mm, 7.05 ± 0.48 mm, 3.55 ± 0.75 mm and 5.09 ± 0.74 mm, respectively, and the fine adjustment angle of the slide rail was 10.51° ± 0.87°. There was no significant difference between the two groups or between men and women (p > 0.05). CONCLUSION: In this experiment, using the data obtained from the simulation of screw insertion, a two-way slide guide was designed to assist the insertion of axial laminar screws. The guide locks the screw outlet point to position and guides the screw inlet point, which improves the accuracy and safety of screw placement.

Molecular Characterization of U6 Promoters from Orange-Spotted Grouper (Epinephelus coioides) and Its Application in DNA Vector-Based RNAi Technology.

The U6 promoter, a typical RNA polymerase III promoter, is widely used to transcribe small RNAs in vector-based siRNA systems. The RNAi efficiency is mainly dependent on the transcriptional activity of the U6 promoter. However, studies have found that U6 promoters isolated from some fishes do not work well in distantly related species. To isolate a U6 promoter with high transcriptional efficiency from fish, in this study, we cloned five U6 promoters in orange-spotted grouper, of which only the grouper U6-1 (GU6-1) promoter contains the OCT element in the distant region. Functional studies revealed that the GU6-1 promoter has high transcriptional ability, which could efficiently transcribe shRNA and result in target gene knockdown in vitro and in vivo. Subsequently, the deletion or mutation of the OCT motif resulted in a significant decrease in promoter transcriptional activity, demonstrating that the OCT element plays an important role in enhancing the grouper U6 promoter transcription. Moreover, the transcriptional activity of the GU6-1 promoter showed little species specificity. It not only works in the grouper but also possesses high transcriptional activity in the zebrafish. Knockdown of the mstn gene in zebrafish and grouper through shRNA driven by the GU6-1 promoter could promote fish growth, suggesting that the GU6-1 promoter can be used as a potential molecular tool in aquaculture practice.

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.

Single-cell RNA sequencing (scRNA-seq) has significantly accelerated the experimental characterization of distinct cell lineages and types in complex tissues and organisms. Cell-type annotation is of great importance in most of the scRNA-seq analysis pipelines. However, manual cell-type annotation heavily relies on the quality of scRNA-seq data and marker genes, and therefore can be laborious and time-consuming. Furthermore, the heterogeneity of scRNA-seq datasets poses another challenge for accurate cell-type annotation, such as the batch effect induced by different scRNA-seq protocols and samples. To overcome these limitations, here we propose a novel pipeline, termed TripletCell, for cross-species, cross-protocol and cross-sample cell-type annotation. We developed a cell embedding and dimension-reduction module for the feature extraction (FE) in TripletCell, namely TripletCell-FE, to leverage the deep metric learning-based algorithm for the relationships between the reference gene expression matrix and the query cells. Our experimental studies on 21 datasets (covering nine scRNA-seq protocols, two species and three tissues) demonstrate that TripletCell outperformed state-of-the-art approaches for cell-type annotation. More importantly, regardless of protocols or species, TripletCell can deliver outstanding and robust performance in annotating different types of cells. TripletCell is freely available at https://github.com/liuyan3056/TripletCell. We believe that TripletCell is a reliable computational tool for accurately annotating various cell types using scRNA-seq data and will be instrumental in assisting the generation of novel biological hypotheses in cell biology.

Association of Tirofiban With Functional Outcomes After Thrombectomy in Acute Ischemic Stroke Due to Intracranial Atherosclerotic Disease.

BACKGROUND AND OBJECTIVE: To investigate the efficacy and safety of IV infusion of tirofiban before endovascular thrombectomy for patients with large vessel occlusion due to intracranial atherosclerotic disease. The secondary objective was to identify potential mediators for the clinical effect of tirofiban. METHODS: Post hoc exploratory analysis of the Endovascular Treatment With versus Without Tirofiban for Patients with Large Vessel Occlusion Stroke (RESCUE BT) trial, which was a randomized, double-blinded, placebo-controlled trial at 55 centers in China from October 2018 to October 2021. Patients with occlusion of the internal carotid artery or middle cerebral artery due to intracranial atherosclerosis were included. The primary efficacy outcome was the proportion of patients achieving functional independence (defined as modified Rankin scale 0-2) at 90 days. Binary logistic regression and causal mediation analyses were used to estimate the treatment effect of tirofiban and the potential mediators. RESULTS: This study included 435 patients, of whom 71.5% were men. The median age was 65 (interquartile range [IQR] 56-72) years, with a median NIH Stroke Scale of 14 (IQR 10-19). Patients in the tirofiban group had higher rates of functional independence at 90 days than patients in the placebo group (adjusted odds ratio 1.68; 95% CI 1.11-2.56, p = 0.02) without an increased risk of mortality or symptomatic intracranial hemorrhage. Tirofiban was associated with fewer thrombectomy passes (median [IQR] 1 [1-2] vs 1 [1-2], p = 0.004), which was an independent predictor of functional independence. Mediation analysis showed tirofiban-reduced thrombectomy passes explained 20.0% (95% CI 4.1%-76.0%) of the effect of tirofiban on functional independence. DISCUSSION: In this post hoc analysis of the RESCUE BT trial, tirofiban was an effective and well-tolerated adjuvant medication of endovascular thrombectomy for patients with large vessel occlusion due to intracranial atherosclerosis. These findings need to be confirmed in future trials. TRIAL REGISTRATION INFORMATION: The RESCUE BT trial was registered on the Chinese Clinical Trial Registry: chictr.org.cn, ChiCTR-INR-17014167. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that tirofiban plus endovascular therapy improves 90-day outcome for patients with large vessel occlusion due to intracranial atherosclerosis.

[Meta-analysis of Simotang Oral Liquid in treatment of functional dyspepsia in adults].

This study was conducted to evaluate the efficacy and safety of Simotang Oral Liquid in the treatment of functional dyspepsia in adults. "Simotang Oral Liquid" "Simotang" "Si Mo Tang" "Si Mo Tang Oral Liquid" were used for retrieval of the relevant papers from CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, Springer Link, and Web of Science from database inception to June 2021. Randomized controlled trial(RCT) of Simotang Oral Liquid in the treatment of functional dyspepsia in adults was screened out for Meta-analysis which was conducted in RevMan 5.3. A total of 16 RCTs were included. Meta-analysis showed that compared with the control group, Simotang Oral Liquid increased the total response rate and lowered the traditional Chinese medicine syndrome scores, serum cholecystokinin(CCK), serum nitric oxide(NO), and incidence of adverse reactions. However, the serum substance P(SP) had no statistical difference between the two groups. Simotang Oral Liquid is effective and safe in the treatment of functional dyspepsia in adults. However, this study has evidence and limitations, so the conclusions need to be further verified by large sample and multicenter clinical studies.

Emerging roles of non-coding RNAs in colorectal cancer oxaliplatin resistance and liquid biopsy potential.

Colorectal cancer (CRC) is one of the most common malignancies of the digestive tract, with the annual incidence and mortality increasing consistently. Oxaliplatin-based chemotherapy is a preferred therapeutic regimen for patients with advanced CRC. However, most patients will inevitably develop resistance to oxaliplatin. Many studies have reported that non-coding RNAs (ncRNAs), such as microRNAs, long non-coding RNAs, and circular RNAs, are extensively involved in cancer progression. Moreover, emerging evidence has revealed that ncRNAs mediate chemoresistance to oxaliplatin by transcriptional and post-transcriptional regulation, and by epigenetic modification. In this review, we summarize the mechanisms by which ncRNAs regulate the initiation and development of CRC chemoresistance to oxaliplatin. Furthermore, we investigate the clinical application of ncRNAs as promising biomarkers for liquid CRC biopsy. This review provides new insights into overcoming oxaliplatin resistance in CRC by targeting ncRNAs.

Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation.

Accurate and efficient cell type annotation is essential for single-cell sequence analysis. Currently, cell type annotation using well-annotated reference datasets with powerful models has become increasingly popular. However, with the increasing amount of single-cell data, there is an urgent need to develop a novel annotation method that can integrate multiple reference datasets to improve cell type annotation performance. Since the unwanted batch effects between individual reference datasets, integrating multiple reference datasets is still an open challenge. To address this, we proposed scMDR and scMultiR, respectively, using multisource domain adaptation to learn cell type-specific information from multiple reference datasets and query cells. Based on the learned cell type-specific information, scMDR and scMultiR provide the most likely cell types for the query cells. Benchmark experiments demonstrated their state-of-the-art effectiveness for integrative single-cell assignment with multiple reference datasets.

Chemical constituents from the fruits of Alpinia oxyphylla and their neuroprotective effects / 药学学报

Fourteen compounds were isolated from the ethyl acetate fraction of 90% EtOH extracts of the dried fruits of Alpinia oxyphylla by silica gel, MCI, RP-18, Sephadex LH-20, TLC and semi-preparative HPLC column chromatography. Their structures were identified by HR-ESI-MS, UV, IR, NMR, ECD and X ray single crystal diffraction spectroscopic data as: (2R,5R,7R,10S)-2,7-dihydroxyl-eudesmane-3(4),11(12)-diene (1), α-rotunol (2), diketone I (3), (1S,4S,5R,7S)-1-hydroxyl-eremophilane-9(10),11(12)-diene-8-one (4), cyperusol A1 (5), (6R,9S,10S)-10-hydroxyl-11,12,13-trinor-cadinane-4(5)-ene-3-one (6), (2E,4E)-6-hydroxy-2,6-dimethylhepta-2,4-dienal (7), oxyphyllacinol (8), yakuchinone A (9), (5R)-5-hydroxy-1,7-diphenylhept-3-heptanone (10), (5S)-5-hydroxy-7-(4″-hydroxyphenyl)-1-phenylhept-3-heptanone (11), (5S)-5-hydroxy-7-(4″-hydroxyl-3″-methoxyphenyl)-1-phenyl-3-heptanone (12), 7-(4″-hydroxy-3″-methoxyphenyl)-1-phenyl-3,5-heptadione (13), bis-(2-ethylhexyl) terephthalate (14). Compounds 1-6 were sesquiterpenoids in which compound 1 is a new eudesmane sesquiterpenoid and compound 7 was a monoterpenoid. Compounds 8-13 were diarylheptanoids, and compounds 2-6 and 14 were isolated from A.oxyphylla for the first time. The experiments on H2O2 induced SH-SY5Y cells showed that compounds 2, 6, 7, 12 and 13 had neuroprotective effects at low and medium concentrations. In particular, compound 6 showed obvious neuroprotective effect at low, medium and high concentrations whose cell viability was higher than that of the positive control.