Fetal mice dermal mesenchymal stem cells promote wound healing by inducing M2 type macrophage polarization.

Background: Mesenchymal stem cells, found in various tissues, possess significant healing and immunomodulatory properties, influencing macrophage polarization, which is essential for wound repair. However, chronic wounds present significant therapeutic challenges, requiring novel strategies to improve healing outcomes.

Aim: To investigate the potential of fetal dermal mesenchymal stem cells (FDMSCs) in enhancing wound healing through modulation of macrophage polarization, specifically by promoting the M2 phenotype to address inflammatory responses in chronic wounds.

CRP and IHF act as host regulators in Royal Jelly's antibacterial activity.

Royal Jelly (RJ) is a natural substance produced by honeybees, serving not only as nutrition for bee brood and queens but also as a functional food due to its health-promoting properties. Despite its well-known broad-spectrum antibacterial activity, the precise molecular mechanism underlying its antibacterial action has remained elusive. In this study, we investigated the impact of RJ on the bacteria model MG1655 at its half-maximal inhibitory concentration, employing LC-MS/MS to analyze proteomic changes.

The regulatory role of the apelin/APJ axis in scarring: Identification of upstream and downstream mechanisms.

Scarring, a prevalent issue in clinical settings, is characterized by the excessive generation of extracellular matrix within the skin tissue. Among the numerous regulatory factors implicated in fibrosis across various organs, the apelin/APJ axis has emerged as a potential regulator of fibrosis. Given the shared attribute of heightened extracellular matrix production between organ fibrosis and scarring, we hypothesize that the apelin/APJ axis also plays a regulatory role in scar development.

Pan-genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees.

The Asian honeybee, Apis cerana, is an ecologically and economically important pollinator. Mapping its genetic variation is key to understanding population-level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucleotide polymorphisms (SNPs) based on a single reference genome, thereby ignoring larger scale genomic variation.

Dynamic controllable residual generative adversarial network for low-dose computed tomography imaging.

Background: Computed tomography (CT) imaging technology has become an indispensable auxiliary method in medical diagnosis and treatment. In mitigating the radiation damage caused by X-rays, low-dose computed tomography (LDCT) scanning is becoming more widely applied. However, LDCT scanning reduces the signal-to-noise ratio of the projection, and the resulting images suffer from serious streak artifacts and spot noise.

MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging.

Background And Objective: Low-dose computed tomography (LDCT) has become increasingly important for alleviating X-ray radiation damage. However, reducing the administered radiation dose may lead to degraded CT images with amplified mottle noise and nonstationary streak artifacts. Previous studies have confirmed that deep learning (DL) is promising for improving LDCT imaging.

Influence of sulfate reduction on fraction and regeneration of phosphorus at sediment-water interface of urban malodorous river.

The effective control of the release of endogenous phosphorus is an urgent problem in the management of urban malodorous rivers. This research explored the fraction and regeneration of phosphorus of urban malodorous river in the context of sulfate reduction. It was found that sulfate reduction could promote sediment phosphorus release.