DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction.

Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenges such as limited ability to generalize, and inadequate representation of learning from unlabeled data, especially for tasks specific to molecular structures. To address these limitations, we introduce DIG-Mol, a novel self-supervised graph neural network framework for molecular property prediction. This architecture leverages the power of contrast learning with dual interaction mechanisms and unique molecular graph enhancement strategies. DIG-Mol integrates a momentum distillation network with two interconnected networks to efficiently improve molecular characterization. The framework's ability to extract key information about molecular structure and higher-order semantics is supported by minimizing loss of contrast. We have established DIG-Mol's state-of-the-art performance through extensive experimental evaluation in a variety of molecular property prediction tasks. In addition to demonstrating superior transferability in a small number of learning scenarios, our visualizations highlight DIG-Mol's enhanced interpretability and representation capabilities. These findings confirm the effectiveness of our approach in overcoming challenges faced by traditional methods and mark a significant advance in molecular property prediction. The code for this project is now available at https://github.com/ZeXingZ/DIG-Mol.

Fluorescent probe based on GO/g-C3N4-PEG@Cu NPs/MIP for the detection of dopamine in banana.

Graphene oxide (GO) and copper nanoparticles (Cu NPs) were incorporated to modulate and enhance the fluorescence properties of pegylated graphite phase carbon nitride (g-C3N4-PEG). Combined with the specific recognition capability of a molecular imprinted polymer (MIP), a highly sensitive and selective fluorescent molecular imprinted probe for dopamine detection was developed. The fluorescent g-C3N4-PEG was synthesized from melamine and modified with GO and Cu NPs to obtain GO/g-C3N4-PEG@Cu NPs. Subsequently, MIP was prepared on the surface of GO/g-C3N4-PEG@Cu NPs using dopamine as the template molecule. Upon elution of the template molecule, a dopamine-specific GO/g-C3N4-PEG@Cu NPs/MIP fluorescence probe was obtained. The fluorescence intensity of the probe was quenched through the adsorption of different concentrations of dopamine by the MIP, thus establishing a novel method for the detection of dopamine. The linear range of dopamine detection was from 5 × 10-11 to 6 × 10-8 mol L-1, with a detection limit of 2.32 × 10-11 mol L-1. The sensor was utilised for the detection of dopamine in bananas, achieving a spiked recovery rate between 90.3% and 101.3%. These results demonstrate that the fluorescence molecular imprinted sensor developed in this study offers a highly sensitive approach for dopamine detection in bananas.

Extracellular vesicles derived from "serum and glucose" deprived HUCMSCs promoted skin wound healing through enhanced angiogenesis.

Extracellular vesicles (EVs) produced from MSCs were currently considered as a novel therapeutic agent for skin tissue regeneration and repair. Preconditioning stem cells may activate more molecular pathways and release more bioactive agents. In this study, we obtained EVs from normal (N-EVs) and serum- and glucose-deprived (SGD-EVs) human umbilical cord mesenchymal stem cells (HUCMSCs), and showed that SGD-EVs promoted the migration, proliferation, and tube formation of HUVECs in vitro. In vivo experiments utilizing a rat model show that both N-EVs and SGD-EVs boosted angiogenesis of skin defects and accelerated skin wound healing, while treating wounds with SGD-EVs led to faster skin healing and enhanced angiogenesis. miRNA sequencing showed that miR-29a-3p was abundant in SGD-EVs, and overexpressing miR-29a-3p enhanced the angiogenic ability of HUVECs, while inhibiting miR-29a-3p presented the opposite effect. Further studies demonstrated that miR-29a-3p directly targeted CTNNBIP1, which mediated angiogenesis of HUCMSCs-derived EVs through inhibiting CTNNBIP1 to activate Wnt/ß-catenin signaling pathway. Taken together, these findings suggested that SGD-EVs promote angiogenesis via transferring miR-29a-3p, and activation of Wnt/ß-catenin signaling pathway played a crucial role in SGD-EVs-induced VEGFA production during wound angiogenesis. Our results offered a new avenue for modifying EVs to enhance tissue angiogenesis and augment its role in skin repair.

Glycogen synthase kinase-3ß: A multifaceted player in ischemia-reperfusion injury and its therapeutic prospects.

Ischemia-reperfusion injury (IRI) results in irreversible metabolic dysfunction and structural damage to tissues or organs, posing a formidable challenge in the field of organ implantation, cardiothoracic surgery, and general surgery. Glycogen synthase kinase-3ß (GSK-3ß) a multifunctional serine/threonine kinase, is involved in a variety of biological processes, including cell proliferation, apoptosis, and immune response. Phosphorylation of its tyrosine 216 and serine 9 sites positively and negatively regulates the activation and inactivation of the enzyme. Significantly, inhibition or inactivation of GSK-3ß provides protection against IRI, making it a viable target for drug development. Though numerous GSK-3ß inhibitors have been identified to date, the development of therapeutic treatments remains a considerable distance away. In light of this, this review summarizes the complicated network of GSK-3ß roles in IRI. First, we provide an overview of GSK-3ß's basic background. Subsequently, we briefly review the pathological mechanisms of GSK-3ß in accelerating IRI, and highlight the latest progress of GSK-3ß in multiorgan IRI, encompassing heart, brain, kidney, liver, and intestine. Finally, we discuss the current development of GSK-3ß inhibitors in various organ IRI, offering a thorough and insightful reference for GSK-3ß as a potential target for future IRI therapy.

Heat stroke: Pathogenesis, diagnosis, and current treatment.

Recently, the incidence of heat-related illnesses has exhibited a steadily upward trend, which is closely associated with several environmental factors such as climate change and air pollution. The progression of heat-related illnesses is a continuous process and can progress to the terminal period when it transforms into heat stroke, the most severe form. Heat stroke is markedly by a core body temperature above 40°C and central nervous system dysfunction. Current knowledge suggests that the pathogenesis of heat stroke is complex and varied, including inflammatory response, oxidative stress, cell death, and coagulation dysfunction. This review consolidated recent research progress on the pathophysiology and pathogenesis of heat stroke, with a focus on the related molecular mechanisms. In addition, we reviewed common strategies and sorted out the drugs in various preclinical stages for heat stroke, aiming to offer a comprehensive research roadmap for more in-depth researches into the mechanisms of heat stroke and the reduction in the mortality of heat stroke in the future.

Expression of circRNA-0036474 in esophageal cancer and its clinical significance.

Circular RNAs are considered to play important roles in the progression of different cancers such as esophageal squamous cell carcinoma. However, the functions of circular RNAs in esophageal squamous cell carcinoma are still not clear. This study aimed to investigate the role and mechanism of circRNA-0036474 in the progression of esophageal squamous cell carcinoma. The hsa_circ_0036474 expression levels were found to be elevated in both EC109 cells and esophageal squamous cell carcinoma tissue samples. Moreover, knockdown of circRNA-0036474 expression in the EC109 cells induced migration and invasion, characterized by the down-regulation of E-cadherin, and up-regulation of N-cadherin and vimentin. In addition, the over-expressed hsa_circ_0036474 significantly decreased the activity of EC109 cells, elevated E-cadherin expression but declined N-cadherin and vimentin expression. Moreover, over-expressed mir-223-3p levels and interfered RERG expression verified the role of hsa_circ_0036474 in inhibiting the invasion and migration of EC109 cells, reducing the expression of N-cadherin and vimentin, and promoting the expression of E-cadherin. In conclusion, circRNA-0036474 mitigated the progression of esophageal squamous cell carcinoma through regulating mir-223-3p/RERG axis, presenting a potential therapeutic target for the treatment.

TNIK in disease: from molecular insights to therapeutic prospects.

TRAF2 and NCK interacting kinase (TNIK), a critical interacting protein kinase, is currently receiving wide attention. TNIK is found in various human body organs and tissues and participates in cell motility, proliferation, and differentiation. On the one hand, its aberrant expression is related to the onset and progression of numerous malignant tumors. On the other hand, TNIK is important in neuronal growth, proliferation, differentiation, and synaptic formation. Thus, the novel therapeutic strategies for targeting TNIK offer a promising direction for cancer, neurological or psychotic disorders. Here, we briefly summarized the biological information of TNIK, reviewed the role and regulatory mechanism in cancer and neuropsychiatric diseases, and introduced the research progress of inhibitors targeting TNIK. Taken together, this review hopes to contribute to the in-depth understanding of the function and regulatory mechanism of TNIK, which is of great significance for revealing the role of TNIK in the occurrence and treatment of diseases.

Pleiotropic role of GAS6 in cardioprotection against ischemia-reperfusion injury.

INTRODUCTION: Myocardial ischemia-reperfusion (IR) injury is a common medical issue contributing to the onset and progression of ischemic heart diseases (IHD). Growth arrest-specific gene 6 (GAS6), a vitamin K-dependent secretory protein, promotes cell proliferation and inhibits inflammation and apoptosis through binding with Tyro3, Axl, and Mertk (TAM) receptors. OBJECTIVES: Our study aimed to examine the effect of GAS6 pathways activation as a potential new treatment in myocardial IR injury. METHODS: Gain- and loss-of-function experiments were utilized to determine the roles of GAS6 in the pathological processes of myocardial IR injury. RESULTS: Our results revealed down-regulated levels of GAS6, Axl, and SIRT1 in murine hearts subjected to IR injury, and cardiomyocytes challenged with hypoxia reoxygenation (HR) injury. GAS6 overexpression significantly improved cardiac dysfunction in mice subjected to myocardial IR injury, accompanied by reconciled mitochondrial dysfunction, oxidative stress, and apoptosis. In vitro experiments also observed a protective effect of GAS6 in cardiomyocytes. SIRT1 was found to function as a downstream regulator for GAS6/Axl signaling axis. Through screening a natural product library, a polyphenol natural compound catechin was identified to exhibit a protective effect by turning on GAS6/Axl-SIRT1 cascade. CONCLUSIONS: Together, our findings indicate that GAS6 emerges as a potential novel target in the management of myocardial IR injury and other related anomalies.

Identifying and validating potential therapeutic targets for septic heart failure and the cardioprotective effects of lycorine.

BACKGROUND: Septic heart failure has been recognized as a puzzle since antiquity and poses a major challenge to modern medicine. Our previous work has demonstrated the potential effects of lycorine (LYC) on sepsis and septic myocardial injury. Nonetheless, further exploration is needed to elucidate the underlying cellular and molecular mechanisms. METHODS: In this study, we conducted transcriptome analysis and weighted gene co-expression network analysis (WGCNA) to identify the key genes and reveal the mechanism of LYC against septic heart failure. PURPOSE: This study aims to apply bioinformatic analysis and experimental validations to explore the protective effects and underlying mechanism of LYC on the cecal ligation and puncture (CLP)-induced sepsis model mice. RESULTS: Transcriptome analysis revealed the differentially expressed genes (DEGs) following LYC treatment. WGCNA analysis identified gene modules associated with LYC-mediated protection, with BCL3 emerging as a core gene within these modules. Notably, BCL3 was an overlapping gene of DEGs and WGCNA core genes induced by LYC treatment, and is highly negatively correlated with cardiac function indicator. In vivo and in vitro study further prove that LYC exerted a protective effect against septic myocardial injury through inhibiting BCL3. BCL3 siRNA ameliorated LPS-induced cardiac injury and inflammation, while BCL3 overexpression reversed the protective effect of LYC against LPS injury. CONCLUSION: In summary, our findings demonstrate the significant attenuation of septic myocardial disorder by LYC, with the identification of BCL3 as a pivotal target gene. This study is the first to report the role of BCL3 in sepsis and septic myocardial injury. Furthermore, the strategy for hub genes screening used in our study facilitates a comprehensive exploration of septic targets and reveals the potential targets for LYC effect. These findings may offer a new therapeutic strategy for the management of septic heart failure, highlighting the cardioprotective effect of LYC as adjunctive therapy for sepsis management.

Developing a cognitive model of solid geometry based on Interpretive Structural Modeling method.

With the advancement of science and artificial intelligence, education is experiencing significant innovation. The adaptive learning system is emerging as a promising approach to achieving personalized learning. The cognitive model plays a crucial role as the fundamental rationale behind the adaptive learning system. Currently, there is no uniform and highly operational method for constructing cognitive models. This study adopts Interpretive Structural Modeling (ISM) as the foundational approach for constructing a cognitive model of solid geometry. Based on literature and expert opinions, 17 cognitive attributes of high school solid geometry were identified. Subsequently, a questionnaire survey involving 40 experts was conducted to establish the contextual relationships among these attributes. Applying the ISM method resulted in a seven-level model. This model was then revised based on expert opinions to create the final cognitive model, revealing three primary paths within the domain of high school solid geometry. This paper contends that the use of the ISM method for constructing cognitive models is effective and objective. The resulting cognitive model unveils the content structure of high school solid geometry, and provides an innovative perspective on the construction of cognitive models.

Strong, tough and anisotropic bioinspired hydrogels.

Soft materials are widely used in tissue engineering, soft robots, wearable electronics, etc. However, it remains a challenge to fabricate soft materials, such as hydrogels, with both high strength and toughness that are comparable to biological tissues. Inspired by the anisotropic structure of biological tissues, a novel solvent-exchange-assisted wet-stretching strategy is proposed to prepare anisotropic polyvinyl alcohol (PVA) hydrogels by tuning the macromolecular chain movement and optimizing the polymer network. The reinforcing and toughening mechanisms are found to be "macromolecule crystallization and nanofibril formation". These hydrogels exhibit excellent mechanical properties, such as extremely high fracture stress (12.8 ± 0.7 MPa) and fracture strain (1719 ± 77%), excellent modulus (4.51 ± 0.76 MPa), high work of fracture (134.47 ± 9.29 MJ m-3), and fracture toughness (305.04 kJ m-2) compared with other strong hydrogels and even natural tendons. In addition, excellent conductivity, strain sensing capability, water retention, freezing resistance, swelling resistance, and biocompatibility can also be achieved. This work provides a new and effective method to fabricate multifunctional anisotropic hydrogels with high tunable strength and toughness with potential applications in the fields of regenerative medicine, flexible sensors, and soft robotics.

The prognostic value of the visually assessed time difference between mitral valve and tricuspid valve opening score for patients with heart failure with mildly reduced ejection fraction.

BACKGROUND: The visually assessed time difference between the mitral valve and tricuspid valve opening (VMT) score was correlated with the increase of left ventricular filling pressure (LVFP). HYPOTHESIS: We suspected that the VMT score might be a valuable prognostic biomarker for heart failure with mildly reduced ejection fraction (HFmrEF) patients. This study was to evaluate the predictive value of VMT score for 1-year all-cause and cardiovascular disease (CVD)-cause mortality in HFmrEF patients. METHODS: This cohort study enrolled 379 patients aged ≥18 years old with HFmrEF. Univariable and multivariable Cox regression analysis was employed to assess the association between VMT score and all-cause or CVD-cause mortality in HFmrEF patients. Hazards ratio (HR), and 95% confidence interval (CI) were effect sizes. Kaplan-Meier curves showed the survival probability of patients. The area under the curve (AUC) evaluated the prognostic value of the VMT score. RESULTS: The risk of all-cause mortality was increased in HFmrEF patients in the VMT score of 2 (HR = 2.80, 95%CI: 1.04-7.52) and 3 (HR = 4.29, 95%CI: 1.58-11.66). The VMT score of 3 was associated with an increased risk of 1-year CVD-cause mortality in patients with HFmrEF (HR = 7.63, 95%CI: 1.70-34.33). The AUC of VMT score for predicting 1-year all-cause mortality of HFmrEF patients was 0.724, and for predicting 1-year CVD-cause mortality of HFmrEF patients was 0.748. The survival probability of patients with the VMT score < 2 was higher than those with the VMT score of 2 and 3. CONCLUSION: The VMT score might be a reliable prognostic index for 1-year all-cause or CVD-cause mortality of HFmrEF patients.

Association between serum insulin-like growth factor 1 levels and the improvements of cognitive impairments in a subgroup of schizophrenia: Preliminary findings.

BACKGROUND: Numerous studies have implicated abnormal insulin-like growth factor 1 (IGF-1) in the pathophysiology of schizophrenia, but findings have been inconsistent. METHODS: We conducted a meta-analysis to compare IGF-1 levels in schizophrenia patients with healthy controls and explored factors contributing to variability between estimates. In an independent sample (58 chronic schizophrenia patients and 30 healthy controls), we investigated differences in IGF-1 levels among schizophrenia subgroups with distinct cognitive profiles, identified using k-means clustering based on five cognitive domains from The Repeatable Battery for the Assessment of Neuropsychological Status. Associations between serum IGF-1 levels and clinical and neurocognitive improvements were also examined. RESULTS: The meta-analysis revealed significantly lower serum IGF-1 levels in schizophrenia patients compared to healthy controls, albeit with high heterogeneity. Medication status, BMI, and severity of negative symptoms were identified as potential contributors to this heterogeneity. In our independent study, antipsychotic treatment led to a significant increase in IGF-1 levels, and lower pre-treatment serum IGF-1 levels correlated with greater improvement in cognitive deficits, particularly in a subgroup with more severe cognitive symptoms. CONCLUSIONS: Our findings support the "IGF-1 deficiency hypothesis" in the pathogenesis of schizophrenia. Further research is crucial to elucidate the role of IGF-1 in the cognitive impairments associated with schizophrenia.

Research hotspots and development trends of international learning cycle model:Bibliometric analysis based on CiteSpace.

The Learning Cycle Model (LCM) is an inquiry-based teaching strategy and curriculum model that has been researched and practiced for almost half a century and has achieved good educational results in science education, especially in primary and secondary schools. This study collected LCM educational research data to better understand the recent progress of LCM educational research. It used the bibliometric analysis software CiteSpace for the first time to sort out the overall development of LCM. Compared to other literature review methods, we obtained a more comprehensive picture of the current research hotspots and future research trends in LCM research. First, we searched 498 articles from the Web of Science core collection between 2000 and May 16, 2023. The trajectory of LCM research was identified by analyzing publication trends, authors, countries/regions, and research institutions. Secondly, we obtained the keyword co-occurrence map and clustering map through CiteSpace's built-in algorithm to analyze the main areas and research frontiers of this study. Meanwhile, the development trend is shown by co-keyword burst detection. After analysis, this study found that the current research hotspot findings focus on conceptual learning, validity research, and integration with different teaching processes. The research frontiers are mainly related to teacher professional development and research on the impact of LCM on learning outcomes. Finally, this study discusses future research directions, including research on the impact of LCM on 21st century skills, comparison with other modes of inquiry teaching and learning, and its use in engineering education, to promote better development of LCM.

Effects of 3-month dapagliflozin on left atrial function in treatment-naïve patients with type 2 diabetes mellitus: Assessment using 4-dimensional echocardiography.

BACKGROUND: The sodium-glucose transporter-2 (SGLT-2) inhibitor dapagliflozin can improve left ventricular (LV) performance in patients with type 2 diabetes mellitus (T2DM). However, the effects on left atrial (LA) function in treatment-naïve T2DM patients remain unclear. The aim of our study was 1) to investigate the effects of 3-month treatment with dapagliflozin on LA function in treatment-naïve patients with T2DM using 4-dimensional automated LA quantification (4D Auto LAQ) and 2) to explore linked covariation patterns of changes in clinical and LA echocardiographic variables. METHODS: 4D Auto LAQ was used to evaluate LA volumes, longitudinal and circumferential strains in treatment-naïve T2DM patients at baseline, at follow-up, and in healthy control (HC). Sparse canonical correlation analysis (sCCA) was performed to capture the linked covariation patterns between changes in clinical and LA echocardiographic variables within the treatment-naïve T2DM patient group. RESULTS: This study finally included 61 treatment-naïve patients with T2DM without cardiovascular disease and 39 healthy controls (HC). Treatment-naïve T2DM patients showed reduced LA reservoir and conduit function at baseline compared to HC, independent of age, sex, BMI, and blood pressure (LASr: 21.11 ± 5.39 vs. 27.08 ± 5.31 %, padjusted = 0.017; LAScd: -11.51 ± 4.48 vs. -16.74 ± 4.51 %, padjusted = 0.013). After 3-month treatment with dapagliflozin, T2DM patients had significant improvements in LA reservoir and conduit function independent of BMI and blood pressure changes (LASr: 21.11 ± 5.39 vs. 23.84 ± 5.74 %, padjusted < 0.001; LAScd: -11.51 ± 4.48 vs. -12.75 ± 4.70 %, padjusted < 0.001). The clinical and LA echocardiographic parameters showed significant covariation (r = 0.562, p = 0.039). In the clinical dataset, changes in heart rate, insulin, and BMI were most associated with the LA echocardiographic variate. In the LA echocardiographic dataset, changes in LAScd, LASr, and LASr_c were most associated with the clinical variate. CONCLUSION: Compared with HC, treatment-naïve patients with T2DM had lower LA function, and these patients benefited from dapagliflozin administration, particularly in LA function.

A spatial sequencing atlas of age-induced changes in the lung during influenza infection.

Influenza virus infection causes increased morbidity and mortality in the elderly. Aging impairs the immune response to influenza, both intrinsically and because of altered interactions with endothelial and pulmonary epithelial cells. To characterize these changes, we performed single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and bulk RNA sequencing (bulk RNA-seq) on lung tissue from young and aged female mice at days 0, 3, and 9 post-influenza infection. Our analyses identified dozens of key genes differentially expressed in kinetic, age-dependent, and cell type-specific manners. Aged immune cells exhibited altered inflammatory, memory, and chemotactic profiles. Aged endothelial cells demonstrated characteristics of reduced vascular wound healing and a prothrombotic state. Spatial transcriptomics identified novel profibrotic and antifibrotic markers expressed by epithelial and non-epithelial cells, highlighting the complex networks that promote fibrosis in aged lungs. Bulk RNA-seq generated a timeline of global transcriptional activity, showing increased expression of genes involved in inflammation and coagulation in aged lungs. Our work provides an atlas of high-throughput sequencing methodologies that can be used to investigate age-related changes in the response to influenza virus, identify novel cell-cell interactions for further study, and ultimately uncover potential therapeutic targets to improve health outcomes in the elderly following influenza infection.

A Study on Differential Effects of Mathematics Reading Ability on Students' Value-Added Mathematics Achievements.

Value-added assessments have become a reasonable and accepted assessment method for education and teaching. Mathematics reading ability is an important ability in mathematics learning which provides a prerequisite for solving mathematical problems. With the aim of uncovering the effects of mathematics reading ability on the continuous development of mathematics learning, this study focuses on the value added to students' mathematics reading ability as well as their mathematics performance. From a longitudinal perspective, we collected academic achievement data for 463 s-grade students, including their scores on their mathematics reading ability, which were then used a developed measurement tool. Building on Weiss's "Theory of Change", the students were divided into four categories: high academic achievement and high value-added, low academic achievement and high value-added, low academic achievement and low value-added, and high academic achievement and low value-added. Finally, we discussed the impact of the students' reading abilities in mathematics on their overall achievement. This study reveals a close correlation between mathematics reading skills and value-added performance. Higher scores in mathematics reading indicate higher value-added levels. For students with initially high scores, their mathematics reading skills greatly contributed to their high value-added performance.

Application of pesticide application measures to reduce residue based on the metabolic transfer law of imidacloprid in banana leaves and soil.

An investigation of the metabolism and transfer of imidacloprid (IMI) in banana plants and soil was performed using high-resolution mass spectrometry. Results indicated the presence of eight IMI metabolites in soil and leaves that resulted from hydroxylation of the imidazolidine ring, the reduction and loss of nitro groups, and oxidative cleavage of methylene bridges. Six metabolites, including 4/5-hydroxy IMI (4/5-hydroxy), IMI olefin (olefin), and 6-chloronicotinic acid (6-CNA), were detected in the fruits following leaf treatment, while only three were detected after soil treatment. Quantitative analysis showed that the total amount of imidacloprid and its metabolites transferred from leaves to fruits was higher than that transferred from soil to fruits. Therefore, leaf transfer was considered the main means by which IMI and its metabolites transferred to banana fruits. We found that adjuvants tank-mixed with IMI could reduce the total concentration of pesticide transfer from leaves to fruits, especially reducing the amount of metabolites transformed from the reduction and loss of nitro groups and oxidative cleavage of methylene bridges, thus reducing the pesticide residue in fruits and achieving the purpose of reducing the safety risk.

miR-152-3p Inhibits Proliferation, Invasion and Autophagy in UMUC3 and TCCSUP Bladder Cancer Cell Lines via Suppressing HMGA2 Expression.

OBJECTIVE: MicroRNAs have been reported to be involved in the regulation of tumor progression. This study investigated the role of miR-152-3p in bladder cancer development. METHODS: A total of 67 bladder cancer cases were enrolled. miR-152-3p expression in bladder cancer tissues and cells were detected using quantitative reverse transcriptase polymerase chain reaction. Bladder cancer cells were transfected by miR-152-3p mimic and inhibitor to up-regulate and down-regulate miR-152-3p expression. After transfection, cell counting kit-8 assay, flow cytometry, Brdu staining assay, transwell experiment and wound healing assay were conducted to research the effect of miR-152-3p up-regulation/down-regulation on bladder cancer cell viability, apoptosis, proliferation, invasion and migration abilities. The expression of high-mobility group protein A2 (HMGA2) and autophagy-related proteins was researched using Western blot. The interaction between miR-152-3p and HMGA2 was explored by dual luciferase reporter gene assay. RESULTS: Low miR-152-3p expression in tumor tissues bladder cancer patients was associated with poor prognosis. miR-152-3p expression was abnormally down-regulated in bladder cancer cells. miR-152-3p up-regulation inhibited viability, proliferation, invasion, migration but promoted apoptosis of bladder cancer cells. miR-152-3p down-regulation showed the opposite effects. miR-152-3p up-regulation suppressed the expression of Beclin 1 and LC3II/LC3I proteins in bladder cancer cells, but miR-152-3p down-regulation increased them. HMGA2 was target of miR-152-3p, which could be directly inhibited by miR-152-3p. HMGA2 up-regulation reversed the inhibitory effect of miR-152-3p on bladder cancer cell malignant phenotype. CONCLUSION: miR-152-3p inhibited malignant phenotype of bladder cancer cell lines via suppressing HMGA2 expression.

BATF is Required for Treg Homeostasis and Stability to Prevent Autoimmune Pathology.

Regulatory T (Treg) cells are inevitable to prevent deleterious immune responses to self and commensal microorganisms. Treg function requires continuous expression of the transcription factor (TF) FOXP3 and is divided into two major subsets: resting (rTregs) and activated (aTregs). Continuous T cell receptor (TCR) signaling plays a vital role in the differentiation of aTregs from their resting state, and in their immune homeostasis. The process by which Tregs differentiate, adapt tissue specificity, and maintain stable phenotypic expression at the transcriptional level is still inconclusivei. In this work, the role of BATF is investigated, which is induced in response to TCR stimulation in naïve T cells and during aTreg differentiation. Mice lacking BATF in Tregs developed multiorgan autoimmune pathology. As a transcriptional regulator, BATF is required for Treg differentiation, homeostasis, and stabilization of FOXP3 expression in different lymphoid and non-lymphoid tissues. Epigenetically, BATF showed direct regulation of Treg-specific genes involved in differentiation, maturation, and tissue accumulation. Most importantly, FOXP3 expression and Treg stability require continuous BATF expression in Tregs, as it regulates demethylation and accessibility of the CNS2 region of the Foxp3 locus. Considering its role in Treg stability, BATF should be considered an important therapeutic target in autoimmune disease.