Super-resolution ultrasound imaging of ischaemia flow: An in silico study.

Super-resolution ultrasound (SRU) is a new ultrasound imaging mode that promises to facilitate the detection of microvascular disease by providing new vascular bio-markers that are directly linked to microvascular pathophysiology, thereby augmenting current knowledge and potentially enabling new treatment. Such a capability can be developed through thorough understanding as articulated by means of mathematical models. In this study, a 2D numerical flow model is adopted for generating flow adaptation in response to ischaemia, in order to determine the ability of SRU to register the resulting flow perturbations.

Emerging Role of NAT10 as ac4C Writer in Inflammatory Diseases: Mechanisms and Therapeutic Applications.

The incidence of inflammatory diseases, including infections, autoimmune disorders, and tumors, is consistently increasing year by year, posing a significant and growing threat to human health on a global scale. Recent research has indicated that RNA acetylation modification, a specific type of post-transcriptional modification, may play a critical role in the pathogenesis of these diseases. Among the various mechanisms of RNA modification, N-acetyltransferase 10 (NAT10) has been identified as the sole cytidine acetyltransferase in eukaryotes.

Rapid bacterial identification through volatile organic compound analysis and deep learning.

Background: The increasing antimicrobial resistance caused by the improper use of antibiotics poses a significant challenge to humanity. Rapid and accurate identification of microbial species in clinical settings is crucial for precise medication and reducing the development of antimicrobial resistance. This study aimed to explore a method for automatic identification of bacteria using Volatile Organic Compounds (VOCs) analysis and deep learning algorithms.

A conflict-free multi-modal fusion network with spatial reinforcement transformers for brain tumor segmentation.

Brain gliomas are a leading cause of cancer mortality worldwide. Existing glioma segmentation approaches using multi-modal inputs often rely on a simplistic approach of stacking images from all modalities, disregarding modality-specific features that could optimize diagnostic outcomes. This paper introduces STE-Net, a spatial reinforcement hybrid Transformer-based tri-branch multi-modal evidential fusion network designed for conflict-free brain tumor segmentation.

Hybrid offline and self-knowledge distillation for acute ischemic stroke lesion segmentation from non-contrast CT scans.

Diagnosing and treating Acute Ischemic Stroke (AIS) within 0-24 h of onset is critical for patient recovery. While Diffusion-Weighted Imaging (DWI) and Computed Tomography Perfusion (CTP) are effective for early infarction identification, Non-Contrast CT (NCCT) remains the first-line imaging modality in emergency settings due to its efficiency and cost-effectiveness. In this work, to enhance lesion segmentation in NCCT using multi-modal information, we propose OS-AISeg, which integrates Offline knowledge distillation with Self-knowledge distillation to realize AIS segmentation.

DCTP-Net: Dual-Branch CLIP-Enhance Textual Prompt-Aware Network for Acute Ischemic Stroke Lesion Segmentation From CT Image.

Detecting early ischemic lesions (EIL) in computed tomography (CT) images is crucial for reducing diagnostic time and minimizing neuron loss due to oxygen deprivation. This paper introduces DCTP-Net, a dual-branch network for segmenting acute ischemic stroke lesions in CT images, consisting of a segmentation branch and a prompt-aware branch. The segmentation branch uses an encoder-decoder network as the backbone to identify lesions, where the encoder fuses CT image features with prompt features from the prompt-aware branch.

Vessel recovery using ultrasound localisation microscopy: An in silico comparative study between minimum variance and delay-and-sum beamformers.

The use of particle localisation and tracking algorithms on Contrast Enhanced Ultrasound (CEUS) or other ultrasound mode image data containing sparse microbubble (MB) populations, can produce super-resolved vascularization maps. Typically such data stem from conventional delay and sum (DAS) beamforming that is used widely in ultrasound imaging modes. Recently, adaptive beamforming has shown significant improvement in spatial resolution, but its value to super-resolution image analysis approaches is not fully understood.

Comparison of the effects of Liraglutide, Tirzepatide, and Retatrutide on diabetic kidney disease in db/db mice.

Purpose: To assess and compare the therapeutic efficacy of Liraglutide, Tirzepatide, and Retatrutide in treating diabetic kidney disease (DKD) in db/db mice.

Methods: Db/db mice were administered intraperitoneal injections of Liraglutide (10 nmol/kg), Tirzepatide (10 nmol/kg), and Retatrutide (10 nmol/kg) for 10 weeks. Subsequently, we assessed the effectiveness of these three drugs in controlling blood glucose levels, reducing weight, and improving serum biochemical indicators and DKD.

Development and evaluation of a real-time multienzyme isothermal rapid amplification assay for rapid detection of Streptococcus pneumoniae.

Streptococcus pneumoniae is a significant pathogen causing infectious diseases, including pneumonia, otitis media, septicemia, and meningitis. The introduction of multivalent vaccines has coincided with a remarkable decrease in the number of pneumococcal-related deaths. Despite this, pneumococcal infection remains a significant cause of death among children under 5 years old and adults aged 65 or older at a global level.

Indomethacin Combined with Ciprofloxacin Improves the Prognosis of Mice under Severe Traumatic Infection via the PI3K/Akt Pathway in Macrophages.

The prevention and treatment strategies for traumatic infection often focus on the use of antibiotics, while eschew the combined treatment of the bacteria, their toxins, and inflammatory mediators. This might be a main reason the prognosis of wound victims has not improved. Although our previous work found that the combination of indomethacin (IND) and ciprofloxacin (CIP) could promote skin wound repair and enhance the immune function, the efficacy and safety of this strategy for severe traumatic infection-mediated complications remain unknown.

Welding-induced corrosion and protective measures for clad rebars in neutral chloride environments.

Corrosion-resistant steel plays a vital role in marine steel structures. This study developed an SS304/HRB400 stainless-steel-clad rebar for application in a cross-sea bridge in Zhejiang Province. CO gas shielded welding was employed in the prefabricated steel structure, with SS304 steel as the welding wire.

Burkholderia thailandensis Isolated from Infected Wound, Southwest China, 2022.

We report a clinical isolate of Burkholderia thailandensis 2022DZh obtained from a patient with an infected wound in southwest China. Genomic analysis indicates that this isolate clusters with B. thailandensis BPM, a human isolate from Chongqing, China.

Combination of retagliptin and henagliflozin as add-on therapy to metformin in patients with type 2 diabetes inadequately controlled with metformin: A multicentre, randomized, double-blind, active-controlled, phase 3 trial.

Aim: This study assessed the efficacy and safety of co-administering retagliptin and henagliflozin versus individual agents at corresponding doses in patients with type 2 diabetes mellitus who were inadequately controlled with metformin.

Methods: This multicentre, phase 3 trial consisted of a 24-week, randomized, double-blind, active-controlled period. Patients with glycated haemoglobin (HbA1c) levels between 7.

Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery.

Background: It is challenging to identify residual or recurrent fistulas from the surgical region, while MR imaging is feasible. The aim was to use dynamic contrast-enhanced MR imaging (DCE-MRI) technology to distinguish between active anal fistula and postoperative healing (granulation) tissue.

Methods: Thirty-six patients following idiopathic anal fistula underwent DCE-MRI.

Fbxw7 suppresses carcinogenesis and stemness in triple-negative breast cancer through CHD4 degradation and Wnt/β-catenin pathway inhibition.

Background: Cancer stem cells (CSCs) are a small population of cells in tumor tissues that can drive tumor initiation and promote tumor progression. A small number of previous studies indirectly mentioned the role of F-box and WD repeat domain-containing 7 (FBXW7) as a tumor suppressor in Triple-negative breast cancer (TNBC). However, few studies have focused on the function of FBXW7 in cancer stemness in TNBC and the related mechanism.

Efficacy of noiiglutide injection on body weight in obese Chinese adults without diabetes: A multicentre, randomized, double-blind, placebo-controlled, phase 2 trial.

Aim: To evaluate the effect of noiiglutide as an adjunct to lifestyle intervention on the reduction in body weight and tolerability in obese Chinese adults without diabetes.

Materials And Methods: In this 24-week, randomized, double-blind, placebo-controlled phase 2 trial, 254 obese adults with a body mass index of 28.0-40.

Finerenone in Patients with Chronic Kidney Disease and Type 2 Diabetes: The FIDELIO-DKD Subgroup from China.

Background: This prespecified subgroup analysis of the FIDELIO-DKD trial aimed to evaluate the efficacy and safety of finerenone in patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM) in China.

Methods: 372 participants were recruited from 67 centers in China and randomized 1:1 to oral finerenone or placebo with standard therapy for T2DM. The primary composite outcome included kidney failure, sustained decrease of estimated glomerular filtration rate ≥40% from baseline over at least 4 weeks, or renal death.

Development of a novel integrated isothermal amplification system for detection of bacteria-spiked blood samples.

Bloodstream infection (BSI) caused by bacteria is highly pathogenic and lethal, and easily develops whole-body inflammatory state. Immediate identification of disease-causing bacteria can improve patient prognosis. Traditional testing methods are not only time-consuming, but such tests are limited to laboratories.

M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty.

Due to the unavailability of source domain data encountered in unsupervised domain adaptation, there has been an increasing number of studies on source-free domain adaptation (SFDA) in recent years. To better solve the SFDA problem and effectively leverage the multi-modal information in medical images, this paper presents a novel SFDA method for multi-modal stroke lesion segmentation in which evidential deep learning instead of convolutional neural network. Specifically, for multi-modal stroke images, we design a multi-modal opinion fusion module which uses Dempster-Shafer evidence theory for decision fusion of different modalities.

Spraying exogenous hormones alleviate impact of weak-light on yield by improving leaf carbon and nitrogen metabolism in fresh waxy maize.

Insufficient light during the growth periods has become one of the main factors restricting maize yield with global climate change. Exogenous hormones application is a feasible measure to alleviate abiotic stresses on crop productivity. In this study, a field trial was conducted to investigate the effects of spraying exogenous hormones on yield, dry matter (DM) and nitrogen (N) accumulation, leaf carbon and N metabolism of fresh waxy maize under weak-light stress in 2021 and 2022.

Integrative multiomics analysis identifies a metastasis-related gene signature and the potential oncogenic role of EZR in breast cancer.

Distant metastasis is a major cause of increased mortality in breast cancer patients, but the mechanisms underlying breast cancer metastasis remain poorly understood. In this study, we aimed to identify a metastasis-related gene (MRG) signature for predicting progression in breast cancer. By screening using three regression analysis methods, a 9-gene signature (NOTCH1, PTP4A3, MMP13, MACC1, EZR, NEDD9, PIK3CA, F2RL1 and CCR7) was constructed based on an MRG set in the BRCA cohort from TCGA.

Rapid detection of EGFR mutation in CTCs based on a double spiral microfluidic chip and the real-time RPA method.

Circulating tumor cells (CTCs) are cells shed from primary or metastatic tumors and spread into the peripheral bloodstream. Mutation detection in CTCs can reveal vital genetic information about the tumors and can be used for "liquid biopsy" to indicate cancer treatment and targeted medication. However, current methods to measure the mutations in CTCs are based on PCR or DNA sequencing which are cumbersome and time-consuming and require sophisticated equipment.

Genomic features and virulence characteristics of a rare strain causing human infection.

is a clinically rare opportunistic pathogen in the genus , and the genomic features and virulence characteristics of strains that cause human infection remain unclear. strains with different virulence induce different host innate immune responses ..