Integrated metabolomics and network pharmacology analysis of Yulan Jiangtang capsules in diabetic nephropathy.

Background: Diabetic nephropathy (DN), a serious diabetic complication, currently has limited treatment options. Yulan Jiangtang capsules (YL) are a clinically approved traditional Chinese medicine formula for glycemic control and diabetes-related complications. Nevertheless, the underlying mechanisms of their therapeutic effects remain incompletely elucidated.

GPerturb: Gaussian process modelling of single-cell perturbation data.

Single-cell RNA sequencing and CRISPR screening enable high-throughput analysis of genetic perturbations at single-cell resolution. Understanding combinatorial perturbation effects is essential but challenging due to data sparsity and complex biological mechanisms. We present GPerturb, a Gaussian process-based sparse perturbation regression model designed to estimate gene-level perturbation effects.

USP2-induced upregulation of LEF1 through deubiquitination relieves osteoporosis development by promoting the osteogenic differentiation of bone marrow mesenchymal stem cells.

Background: Bone marrow mesenchymal stem cells (BMSCs) exhibit therapeutic potential for osteoporosis through their differentiation into osteoblasts. Here, we investigated the role and mechanism of lymphoid enhancer-binding factor 1 (LEF1) in regulating osteogenic differentiation of human BMSCs (hBMSCs).

Methods: hBMSCs were exposed to the specific medium to induce their osteogenic differentiation.

[Kaixin San-medicated serum attenuates Aβ_(25-35)-induced injury in SH-SY5Y cells by regulating autophagy].

The aim of this study is to investigate the regulation of Kaixin San-medicated serum(KXS-MS) on autophagy induced by Aβ_(25-35) in SH-SY5Y cells. The SH-SY5Y cell model of Aβ_(25-35)(25 μmol·L~(-1))-induced injury was established, and different concentrations of KXS-MS were added into the culture media of cells, which were then incubated for 24 h. Cell viability was measured by the methyl thiazolyl tetrazolium(MTT) assay.

Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling.

The identification of tumor-specific molecular dependencies is essential for the development of effective cancer therapies. Genetic and chemical perturbations are powerful tools for discovering these dependencies. Even though chemical perturbations can be applied to primary cancer samples at large scale, the interpretation of experiment outcomes is often complicated by the fact that one chemical compound can affect multiple proteins.

Facial Micro-Expression Recognition Using Double-Stream 3D Convolutional Neural Network with Domain Adaptation.

Humans show micro-expressions (MEs) under some circumstances. MEs are a display of emotions that a human wants to conceal. The recognition of MEs has been applied in various fields.

Application of Micro-Engineered Kidney, Liver, and Respiratory System Models to Accelerate Preclinical Drug Testing and Development.

Developing novel drug formulations and progressing them to the clinical environment relies on preclinical in vitro studies and animal tests to evaluate efficacy and toxicity. However, these current techniques have failed to accurately predict the clinical success of new therapies with a high degree of certainty. The main reason for this failure is that conventional in vitro tissue models lack numerous physiological characteristics of human organs, such as biomechanical forces and biofluid flow.

Magnetic Imprinted Polymer-Based Quartz Crystal Microbalance Sensor for Sensitive Label-Free Detection of Methylene Blue in Groundwater.

Tiny changes in the mass of the sensor in a quartz crystal microbalance with dissipation monitoring (QCM-D) can be observed. However, the lack of specificity for target species has hindered the use of QCM-D. Here, molecularly imprinted polymers (MIPs) were used to modify a QCM-D sensor to provide specificity.

Optimization, chain conformation and characterization of exopolysaccharide isolated from Leuconostoc mesenteroides DRP105.

Response surface methodology (RSM) was used to optimize the fermentation condition of exopolysaccharide (EPS) producing strain Leuconostoc mesenteroides DRP105. Result showed that the optimum condition was sucrose 86.83g/L, tryptone 15.

Optimization, purification and structural characterization of a dextran produced by L. mesenteroides isolated from Chinese sauerkraut.

A higher yield of dextran strain Leuconstoc mesenteroides TDS2-19 was isolated from Chinese sauerkraut juice. Effects of the three main factors on exopolysaccharide (EPS) yield were investigated by central composite design (CCD) and the optimum composition was sucrose 117.48g/L, sodium acetate 4.