ORMDL2 Promotes the Growth of Glioma through mTORC1-Mediated Fatty Acid Metabolism.

Fatty acid metabolism is critical for numerous biological processes involved in the pathogenesis of glioma. This study aimed to survey the role of ORMDL sphingolipid biosynthesis regulator 2 (ORMDL2) in fatty acid metabolism of glioma cells. The expression of ORMDL2 in glioma and its association with survival rate was detected using The Cancer Genome Atlas (TCGA) data and Kaplan-Meier survival curve.

Study on strategies to improve clinical fellow training satisfaction based on importance-performance analysis (IPA).

Objective: This study aims to assess the satisfaction levels of clinical fellows based on the Importance-Performance Analysis (IPA) method.

Methods: From January 2020 to July 2023, a cross-sectional descriptive study was conducted targeting clinical fellows in a tertiary comprehensive hospital in Guangdong Province. By combining a review of the existing literature with the current conditions of hospital training, we developed a clinical fellow training satisfaction assessment system consisting of 4 primary and 22 secondary indicators.

Adenylate kinase 4 (AK4) deficiency prevents vascular smooth muscle cell phenotypic switching by regulating mitochondrial dysfunction through AMPKα inactivation.

Background And Aims: Mitochondrial dynamics are key mechanism regulating the conversion of vascular smooth muscle cells (VSMCs) from a contractile to a synthetic phenotype, which is involved in neointima formation and restenosis. However, the underlying mechanisms leading to mitochondrial dysfunction are not fully understood.

Methods: Western blot was used to detect the expression of relevant molecules at the protein level.

A recognition model for winter peach fruits based on improved ResNet and multi-scale feature fusion.

With the continuous advancement of modern agricultural technologies, the demand for precision fruit-picking techniques has been increasing. This study addresses the challenge of accurate recognition and harvesting of winter peaches by proposing a novel recognition model based on the residual network (ResNet) architecture-WinterPeachNet-aimed at enhancing the accuracy and efficiency of winter peach detection, even in resource-constrained environments. The WinterPeachNet model achieves a comprehensive improvement in network performance by integrating depthwise separable inverted bottleneck ResNet (DIBResNet), bidirectional feature pyramid network (BiFPN) structure, GhostConv module, and the YOLOv11 detection head (v11detect).

Development and validation of a machine learning model for predicting intrapartum fever using pre-labor analgesia clinical indicators: a multicenter retrospective study.

Background: Labor anesthesia is commonly used for pain relief during labor, but it can increase the risk of intrapartum fever. Currently, there are no reliable tools to predict which parturients might develop fever before labor anesthesia. The prediction model we developed aims to predict the incidence of intrapartum fever before labor analgesia.

Functionalization of biochar using SDS/SAP nanomicelles enhanced its immobilization capacity for dyes and heavy metals in water.

To enhance the adsorption capacity of biochar (BC), herein a novel multifunction modified biochar (SDMBC) was prepared by directly crosslinking of the nanomicelle of sodium dodecyl sulfate/sapindus-saponin (SDS/SAP) composite system onto the BC through a simple, environmental friendly approach. Result showed that the adsorption performance of SDMBC has been greatly improved, compared with BC or using alone SDS and SAP, adsorption ability increased by 48.83%, 29.

Utilization of Cardiac Magnetic Resonance Imaging for Assessing Myocardial Fibrosis in Prognosis Evaluation and Risk Stratification of Patients with Dilated Cardiomyopathy.

Dilated cardiomyopathy (DCM) is the ultimate manifestation of the myocardial response to various genetic and environmental changes and is characterized mainly by impaired left ventricular systolic and diastolic function. DCM can ultimately lead to heart failure, ventricular arrhythmia (VA), and sudden cardiac death (SCD), making it a primary indication for heart transplantation. With advancements in modern medicine, several novel techniques for evaluating myocardial involvement and disease severity from diverse perspectives have been developed.

Development and validation of a prediction model for intrapartum fever related to chorioamnionitis in parturients undergoing epidural analgesia.

Intrapartum fever is a common complication in parturients undergoing epidural analgesia (EA), significantly increasing the incidence of maternal and infant complications. This study aims to develop and validate a prediction model for intrapartum fever related to chorioamnionitis (IFTC) in parturients undergoing epidural analgesia. A total of 596 parturients with fever (axillary temperature ≥ 38℃) who received EA from January 2020 to December 2023 were included and randomly assigned to the training set (N = 417) and the validation set (N = 179) according to the ratio of 7:3.

Identification and validation of stable reference genes for RT-qPCR analyses of Kobresia littledalei seedlings.

Background: Kobreisa littledalei, belonging to the Cyperaceae family is the first Kobresia species with a reference genome and the most dominant species in Qinghai-Tibet Plateau alpine meadows. It has several resistance genes which could be used to breed improved crop varieties. Reverse Transcription Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR) is a popular and accurate gene expression analysis method.

Comparative Transcriptomic Analysis of Fiber Development in Mutant Materials () Provides New Insights into Cotton Fiber Development.

Cotton is the most widely planted fiber crop in the world, and improving cotton fiber quality has long been a research hotspot. The development of cotton fibers is a complex process that includes four consecutive and overlapping stages, and although many studies on cotton fiber development have been reported, most of the studies have been based on cultivars that are promoted in production or based on lines that are used in breeding. Here, we report a phenotypic evaluation of based on immature fiber mutant () and wild-type (Xin W 139) lines and a comparative transcriptomic study at seven time points during fiber development.

A novel COL4A5 splicing mutation causes alport syndrome in a Chinese family.

Background: Alport syndrome (AS) is characterised by haematuria, proteinuria, a gradual decline in kidney function, hearing loss, and eye abnormalities. The disease is caused by mutations in COL4An (n = 3, 4, 5) that encodes 3-5 chains of type IV collagen in the glomerular basement membrane. AS has three genetic models: X-linked, autosomal recessive, and autosomal dominant.

Association between late gadolinium enhancement and outcome in dilated cardiomyopathy: A meta-analysis.

Background: The prognostic value of late gadolinium enhancement (LGE) derived from cardiovascular magnetic resonance (CMR) is well studied, and several new metrics of LGE have emerged. However, some controversies remain; therefore, further discussion is needed, and more precise risk stratification should be explored.

Aim: To investigate the associations between the positivity, extent, location, and pattern of LGE and multiple outcomes in dilated cardiomyopathy (DCM).

Genome-Wide Identification and Preliminary Functional Analysis of (β-Amylase) Gene Family in Upland Cotton.

The β-amylase () gene family encodes important enzymes that catalyze the conversion of starch to maltose in various biological processes of plants and play essential roles in regulating the growth and development of multiple plants. So far, have been extensively studied in (). However, the characteristics of the gene family in the crucial economic crop, cotton, have not been reported.

Tailoring the d-band electronic structure of deficient LaMnCoO perovskite nanofibers for boosting oxygen electrocatalysis in Zn-Air batteries.

The development and design of efficient bifunctional electrocatalysts towards oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are crucial for rechargeable Zinc-air batteries (ZABs). Optimizing the d-band structure of active metal center in perovskite oxides is an effective method to enhance ORR/OER activity by accelerating the rate-determining step. Herein, we report a deficient method to optimize the d-band structure of Co ions in LaMnCoO (LMCO-2) perovskite nanofibers, which regulates the mutual effect between B-site Co ions and reactive oxygen intermediates.

Improving eye care quality through brief verbal intervention on optometry service provider by using unannounced standardized patient with refractive error: study protocol for a randomized controlled trial.

Background: Improper refractive correction can be harmful to eye health, aggravating the burden of vision impairment. During most optometry clinical consultations, practitioner-patient interactions play a key role. Maybe it is feasible for patients themselves to do something to get high-quality optometry.

Validity of patients' online reviews at direct-to-consumer teleconsultation platforms: a protocol for a cross-sectional study using unannounced standardised patients.

Introduction: As direct-to-consumer teleconsultation (hereafter referred to as 'teleconsultation') has gained popularity, an increasing number of patients have been leaving online reviews of their teleconsultation experiences. These reviews can help guide patients in identifying doctors for teleconsultation. However, few studies have examined the validity of online reviews in assessing the quality of teleconsultation against a gold standard.

Evaluation on leachability of heavy metals from tailings: risk factor identification and cumulative influence.

The leachability of heavy metals (HMs) in tailings is significantly affected by multivariate factors associated with environmental conditions. However, the leaching patterns of HMs in molybdenum (Mo) tailings due to environmental change and cumulative influences of multi-leaching factors remain unclear. The leaching behaviors of HMs in Mo tailings were studied through static leaching tests.

Quantitative trait locus mapping and identification of candidate genes for resistance to Verticillium wilt in four recombinant inbred line populations of Gossypium hirsutum.

Improving resistance to Verticillium wilt is of great significance for achieving high and stable yields of Upland cotton (Gossypium hirsutum). To deeply understand the genetic basis of cotton resistance to Verticillium wilt, Verticillium wilt-resistant Upland Lumianyan 28 and four Verticillium wilt-susceptible Acala cotton cultivars were used to create four recombinant inbred line (RIL) populations of 469 families through nested hybridization. Phenotypic data collected in five stressful environments were used to select resistant and sensitive lines and create a mixed pool of extreme phenotypes for BSA-seq.

Development and Validation of a Dynamic Prediction Model for Massive Hemorrhage in Trauma.

Objectives: Early warning prediction of massive hemorrhages can greatly reduce mortality in trauma patients. This study aimed to develop and validate dynamic prediction models for massive hemorrhage in trauma patients.

Methods: Based on vital signs (e.

A prediction model for massive hemorrhage in trauma: a retrospective observational study.

Background: Massive hemorrhage is the main cause of preventable death after trauma. This study aimed to establish prediction models for early diagnosis of massive hemorrhage in trauma.

Methods: Using the trauma database of Chinese PLA General Hospital, two logistic regression (LR) models were fit to predict the risk of massive hemorrhage in trauma.