METTL1-mediated mG methylation of mRNA promotes macrophage inflammatory responses and multiple organ injury.

RNA modifications regulate phenotype and function of macrophages by regulating RNA translation, splicing, and stability. However, the role of -methylguanosine (mG) modification in macrophages and inflammation remains unexplored. In this study, we observed elevated levels of the methyltransferase METTL1 and mG modifications in macrophages from mouse and human tissues during acute kidney injury (AKI).

Breast cancer induces CD62L Kupffer cells via DMBT1 to promote neutrophil extracellular trap formation and liver metastasis.

The liver is a major target organ for breast cancer metastasis, while the regulatory mechanism of liver colonization by breast cancer remains largely unclear. Neutrophils are known to play important roles in metastatic colonization of cancer cells by the formation of neutrophil extracellular traps (NETs). Here we show the role and mechanism of a subpopulation of Kupffer cells (KCs), the liver resident macrophages, in mediating tumoral induction of NETs and liver metastasis.

The advantages in crop yields and carbon footprints of maize-soybean relay strip intercropping.

Intercropping can improve nutrient utilization, but the mechanisms of greenhouse gas (GHG) emissions, energy use, and carbon footprint in rain-fed cereal-legume intercropping remain unclear. Hence, a two-year field trial was conducted to evaluate cropping systems' productivity, carbon footprint, energy inputs, and outputs. The cropping systems include monocropping maize (M) and soybean (S), maize-soybean relay strip intercropping (IMS), and maize-soybean alternate row relay intercropping (CMS).

White matter correlates of language ability in chinese boys with autism spectrum disorder: a diffusional kurtosis imaging study.

Unlabelled: Children with autism spectrum disorder (ASD) exhibit diverse language abilities, yet magnetic resonance imaging (MRI) studies have not systematically examined white matter microstructural differences based on language difficulties. This study aimed to use diffusional kurtosis imaging (DKI) and tract-based spatial statistics (TBSS) to investigate white matter variations in boys with ASD and explore their relationship with language abilities. The study included 61 boys with ASD and 30 typically developing (TD) peers.

Targeting prostate tumour and its stroma by nanoparticles.

The stroma plays a pivotal role in the development of prostate tumours. The tumour stroma includes different immune and stromal cells. Stromal cells can include fibroblasts, activated fibroblasts, endothelial cells, stem cells, etc.

Role of serological biomarkers in evaluating and predicting endoscopic activity in inflammatory bowel disease.

Background: Diagnosis of inflammatory bowel disease and assessment of disease activity are fundamentally reliant on endoscopy. Nonetheless, it is costly and invasive, highlighting the necessity for more accessible and non-invasive biomarkers to assist in the diagnosis and evaluation of inflammatory bowel disease.

Aim: To examine the correlation of biomarkers with endoscopic activity, evaluate their diagnostic significance, and develop models to forecast endoscopic activity.

Abnormal glymphatic system function in children with autism spectrum disorder: a diffusion kurtosis imaging study.

Unlabelled: The glymphatic system, responsible for clearing metabolic waste in the brain, may be impaired in neurodevelopmental and neurodegenerative disorders. This study aimed to assess glymphatic system function in children with autism spectrum disorder (ASD) and explore its relationship with the severity of core ASD features and developmental level. This study employed diffusion kurtosis imaging analysis along the perivascular space (DKI-ALPS) to assess glymphatic system function in children with ASD, dividing the ASD group into mild and severe subgroups to compare intergroup differences and differences with the typically developing (TD) group.

Effects of Bandwidth on Ear Differentiation and Grain Yield Formation of Maize in Strip Intercropping.

In strip intercropping, increasing bandwidth enhances light energy utilization and facilitates mechanized production, yet it constrains the realization of maize yield advantages. The impact of bandwidth on the ear differentiation and development and yield formation requires further investigation. In this study, different bandwidths (T1, 1.

Effects of vitamin D on brain function in preschool children with autism spectrum disorder: a resting-state functional MRI study.

Background: Previous studies indicate vitamin D impacts autism spectrum disorder (ASD), but its relationship with brain function is unclear. This study investigated the association between serum 25-hydroxyvitamin D [25(OH)D] levels and brain function in preschool children with ASD using resting-state functional magnetic resonance imaging (rs-fMRI), and explored correlations with clinical symptoms.

Methods: A total of 226 ASD patients underwent rs-fMRI scanning and serum 25(OH)D testing.

Brain morphometric analysis in patients with glutaric aciduria type 1.

Purpose: Cerebral structural changes in both cortical and subcortical regions were detected in the pathology of glutaric aciduria type 1 (GA-1) patients. Conventional magnetic resonance imaging was limited by radiologist-inter variability in evaluating its severity. This cross-sectional study aimed to identify the affected brain structures and their functional correlations within the cortical and subcortical regions of patients with GA-1.

NSUN6 inhibitor discovery guided by its mRNA substrate bound crystal structure.

NSUN6 preferentially catalyzes the methylation of cytosine nucleotides in mRNA substrates, which enhances transcription. Dysregulation of NSUN6 catalysis drives the oncogenesis of certain cancers. In this study, we determined the crystal structure of human NSUN6 in complex with its S-adenosyl-L-methionine analog and a bound NECT-2 3'-UTR RNA substrate at 2.

Global practical tracking control via output feedback for more general nonlinear systems.

This paper focuses on the issue of global practical tracking control by output feedback for uncertain nonlinear systems with unknown control coefficients and unknown reference signal. Unlike other tracking works, the upper and lower bounds of the unknown control coefficients in the studied nonlinear system are not required to be known, while the nonlinearities are bounded by the unmeasured states multiplying an unknown constant, the polynomial-of-output and the polynomial-of-input. Inspired by related works, an adaptive tracking controller based on a new dynamic high gain has been successfully constructed by combining the universal control idea and the concept of dead-zone with backstepping technique, which effectively handles the impacts of multiple uncertainties.

Relay intercropped soybean promotes nodules development and nitrogen fixation by root exudates deposition.

Background: Legumes, in the initial event of symbiosis, secrete flavonoids into the rhizosphere to attract rhizobia. This study was conducted to investigate the relationship between crop root exudates and soybean nodule development under intercropping patterns.

Method: A two years field experiments was carried out and combined with pot experiments to quantify the effects of planting mode, i.

Emergy-based evaluation of production efficiency and sustainability of diversified multi-cropping systems in the Yangtze River Basin.

Excessive agricultural investment brought about by increased multiple-cropping index may compromise environmental sustainability. There are few studies on the sustainability of diversified multi-cropping systems in the Yangtze River Basin (YRB). Therefore, this study selected five representative locations in the YRB.

Simulation of Defoliation Effects on Relay Strip Intercropping Soybean: Elucidating Foliar Shedding and Leaf-to-Nodule Growth Plasticity.

Extensive foliar shedding in monoculture soybeans post-anthesis negatively impacts yield, whereas relay strip intercropping prolongs leaf area duration, enhancing productivity. However, little is known about the causes of leaf shedding in monoculture and its impact on physiological functions and plasticity of source and sink organs, we conducted a 4-year field experiment and leaf-removal simulations in relay intercropped soybeans. Results revealed that monoculture soybeans experienced severe self-shading and defoliation, while relay intercropping maintained better light conditions, supporting higher leaf area, nodule numbers, and carbon allocation.

Relay strip intercropping of soybeans and maize achieves high net ecosystem economic benefits by boosting land output and alleviating greenhouse gas emissions.

Background: Cereal-legume intercropping provides a solution for achieving global food security, but the mechanism of greenhouse gas emissions and net ecosystem economic benefits of maize-soybean relay intercropping are poorly understood. Hence, we conducted a two-factor experiment to investigate the effects of cropping systems, containing maize-soybean relay intercropping (IMS), monoculture maize (M) and monoculture soybean (S), as well as three nitrogen levels at 0 (N0), 180 (N1), 240 (N2) kg N ha on crop grain yield, greenhouse gas emissions, soil carbon stock and net ecosystem economic benefit (NEEB).

Results: The average grain yield of IMS (7.

Risk-stratified management of cervical high-grade squamous intraepithelial lesion based on machine learning.

The concordance rate between conization and colposcopy-directed biopsy (CDB) proven cervical high-grade squamous intraepithelial lesion (HSIL) were 64-85%. We aimed to identify the risk factors associated with pathological upgrading or downgrading after conization in patients with cervical HSIL and to provide risk-stratified management based on a machine learning predictive model. This retrospective study included patients who visited the Obstetrics and Gynecology Hospital of Fudan University from January 1 to December 31, 2019, were diagnosed with cervical HSIL by CDB, and subsequently underwent conization.

The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease.

Objective: Chronic inflammation and dyslipidemia are key risk factors for atherosclerotic cardiovascular diseases. We retrospectively explored the association between the neutrophil to lymphocyte ratio (NLR), the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-C), and the neutrophil to HDL-C ratio (NHR), and the severity of coronary lesions in patients with acute coronary syndrome (ACS).

Method: In June 2023, we selected 1210 patients who were diagnosed with ACS based on chest pain from January 2017 to December 2022.

Factorization in molecular modeling and belief propagation algorithms.

Factorization reduces computational complexity, and is therefore an important tool in statistical machine learning of high dimensional systems. Conventional molecular modeling, including molecular dynamics and Monte Carlo simulations of molecular systems, is a large research field based on approximate factorization of molecular interactions. Recently, the local distribution theory was proposed to factorize joint distribution of a given molecular system into trainable local distributions.

LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images.

Unlabelled: Liver cancer is the leading cause of mortality in the world. Over the years, researchers have spent much effort in developing computer-aided techniques to improve clinicians' diagnosis efficiency and precision, aiming at helping patients with liver cancer to take treatment early. Recently, attention mechanisms can enhance the representational power of convolutional neural networks (CNNs), which have been widely used in medical image analysis.

Development and validation of a network calculator model for safety and efficacy after pancreaticoduodenectomy in the elderly patients with pancreatic head cancer.

Background: Benefiting from increased life expectancy and improved perioperative management, more elderly patients with pancreatic head cancer (PHC) underwent pancreaticoduodenectomy (PD). However, individualized predictive models for the safety and efficacy of PD is still lacking. this study aimed to developed three safety- and efficacy-related risk calculators for elderly (> = 65 years) PHC patients.