Intestinal metabolite xylulose inhibits colorectal cancer by inducing apoptosis through the MAPK signalling pathway.

Background: The intestinal metabolites are involved in the initiation, progression and metastasis of colorectal cancer (CRC). They are a potential source of agents for cancer therapy. Our previous study identified altered faecal metabolites between CRC patients and healthy volunteers.

The Norepinephrine-QseC Axis Aggravates F. nucleatum-associated Colitis Through Interkingdom Signaling.

Aims: Inflammatory bowel disease (IBD) is associated with F. nucleatum, and chronic stress can increase the risk of aggravation. However, whether norepinephrine (NE) can enhance the pathogenicity of F.

Gut microbiota-derived autoinducer-2 regulates lung inflammation through the gut-lung axis.

Objective: This study aimed to determine whether autoinducer-2 (AI-2), a crucial bacterial metabolite and quorum sensing molecule, is involved in lung immunity through the gut-lung axis.

Methods: The level of AI-2 and the gut microbiome composition were analysed in the stools from pneumonic patients and the mouse model of acute lung injury. The effect of AI-2 on lung inflammation was further investigated in the mouse model.

OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples.

The severity of fundus arteriosclerosis can be determined and divided into four grades according to fundus images. Automatically grading of the fundus arteriosclerosis is helpful in clinical practices, so this paper proposes a convolutional neural network (CNN) method based on hierarchical attention maps to solve the automatic grading problem. First, we use the retinal vessel segmentation model to separate the important vascular region and the non-vascular background region from the fundus image and obtain two attention maps.

Automatic arteriosclerotic retinopathy grading using four-channel with image merging.

Background And Objective: Arteriosclerosis can reflect the severity of hypertension, which is one of the main diseases threatening human life safety. But Arteriosclerosis retinopathy detection involves costly and time-consuming manual assessment. To meet the urgent needs of automation, this paper developed a novel arteriosclerosis retinopathy grading method based on convolutional neural network.

Fabrication of a highly dispersed/active Pd nanoparticle supported catalyst: a cation-assisted reduction method in ethylene glycol-water solution at mild temperature.

Development of sustainable routes to synthesize precious metal supported catalysts is of great importance because of their wide applications in the catalysis field. This paper reported a controllable and recyclable cation-assisted reduction route to fabricate a palladium nanoparticle supported catalyst. At 323 K, highly dispersed Pd/AlO-CAR was prepared through introducing M (M = Mn, Zn or Cu) ions to promote the reduction of HPdCl in ethylene glycol-water solution, and the residual filtrate after preparation could be recycled to prepare Pd/AlO catalysts.