ZS09 Can Improve Antibiotic-Induced Motor Dysfunction in Mice by Regulating the Brain-Gut Functions.

Purpose: When consumed in appropriate quantities, probiotics, which are live microorganisms, are good for health. In this study, a mouse model of antibiotic-induced dyskinesia was established using a sterile mixed antibiotic solution to investigate the preventive impact of ZS09 (LFZS09) on this condition in mice.

Methods: Following modeling, alterations in the serum and brain tissue of mice were assessed for motor measures such as running and swimming, malondialdehyde (MDA), superoxide dismutase, reduced glutathione, interleukin (IL-6, IL-10), and tumor necrosis factor (TNF)-α.

Treatment of ulcerative colitis via the in situ restoration of local immune and microbial homeostasis by oral administration of Tremella polysaccharide drug-carrying hydrogel.

Ulcerative colitis (UC) is a prevalent inflammatory bowel disease, and conventional treatments, such as anti-inflammatory medications and surgery, often prove inadequate due to frequent recurrences and various complications. To alleviate patient suffering, there is an urgent need for a therapeutic system that specifically delivers drugs to the colon for wound healing, inflammation relief, and restoration of microbial homeostasis. In this paper, we developed a Tremella polysaccharide drug-carrying hydrogel that adheres to the inflamed colonic mucosa, forming an effective artificial barrier and releasing the drug in situ to restore local immune and microbial balance.

Oxygen-generating hydrogels combined with electrical stimulation: A dual approach for promoting diabetic wound healing.

Chronic wounds resulting from hyperglycemia and hypoxia are common complications in diabetic patients, posing significant challenges for clinical treatment. In this study, we developed a hydrogel (PVNP-SP) using [VBIM]Br, NIPAM, PEGDA, and spirulina, which exhibited strong antioxidant properties. The incorporation of [VBIM]Br endowed the hydrogel with electrical conductivity, allowing it to activate voltage-gated ion channels under an external electric field, thereby promoting cell survival and migration.

Algae-inspired chitosan-pullulan-based multifunctional hydrogel for enhanced wound healing.

Chronic wounds caused by hyperglycaemia, hypoxia and bacterial infections are common complications in diabetic patients and chronic wound repair is extremely challenging in clinical practice. A series of hydrogels QPMP with good antioxidant and antimicrobial functions were prepared based on quaternized chitosan (QCS), oxidized pullulan polysaccharide (OP), dopamine-coated polypyrrole (PPY@PDA), and Chlorella vulgaris. The Schiff base cross-linking between the quaternized chitosan (QCS) and oxidized pullulan polysaccharide (OP) constitutes the basic skeleton of the hydrogel, and imparts a certain antimicrobial ability to the hydrogel.

Recombinant collagen for the repair of skin wounds and photo-aging damage.

The skin, being the body's primary defense mechanism, is susceptible to various injuries such as epidermal wounds, natural aging, and ultraviolet-induced damage. As a result, there is growing interest in researching skin repair methods. Traditional animal-derived collagen, widely available on the market, poses risks due to its immunogenicity and potential for viral contamination.

Nanocomposite Hydrogel for Real-Time Wound Status Monitoring and Comprehensive Treatment.

Current skin sensors or wound dressings fall short in addressing the complexities and challenges encountered in real-world scenarios, lacking adequate capability to facilitate wound repair. The advancement of methodologies enabling early diagnosis, real-time monitoring, and active regulation of drug delivery for timely comprehensive treatment holds paramount significance for complex chronic wounds. In this study, a nanocomposite hydrogel is devised for real-time monitoring of wound condition and comprehensive treatment.

Data-Driven Learning of the Generalized Langevin Equation with State-Dependent Memory.

We present a data-driven method to learn stochastic reduced models of complex systems that retain a state-dependent memory beyond the standard generalized Langevin equation with a homogeneous kernel. The constructed model naturally encodes the heterogeneous energy dissipation by jointly learning a set of state features and the non-Markovian coupling among the features. Numerical results demonstrate the limitation of the standard generalized Langevin equation and the essential role of the broadly overlooked state-dependency nature in predicting molecule kinetics related to conformation relaxation and transition.

Protective effects of subsp. HFY14 supplementation on the brain, intestines, and motor function of antibiotic-treated mice.

Introduction: This study aimed to explore the anti-oxidative and anti-inflammatory properties of . HFY14 (LLSLHFY14) and investigate its effects on the intestinal barrier, cranial nerve, and motor function in mice treated with antibiotics.

Methods: Mice were administered an antibiotic mixture (neomycin 5 mg/mL, vancomycin 25 mg/mL, amphotericin B 0.

Chitosan and hyaluronic acid based injectable dual network hydrogels - Mediating antimicrobial and inflammatory modulation to promote healing of infected bone defects.

In bone defects, infections lead to excessive inflammation, increased bacterial, and bone lysis, resulting in irregular wounds that hinder new bone regeneration. Injectable bioactive materials with adequate antimicrobial activity and strong osteogenic potential are urgently required to remedy irregular defects, eradicate bacteria, and facilitate the generation of new bone tissue. In this research, injectable dual-network composite hydrogels consisting of sulfated chitosan, oxidized hyaluronic acid, β-sodium glycerophosphate, and CuSr doped mesoporous bioactive glass loaded with bone morphogenetic protein (CuSrMBG) were utilized for the first time to treat infectious bone defects.

Expression of Multicopy Tandem Recombinant Ginseng Hexapeptide in and the Evaluation of Antiaging Activity.

Ginseng oligopeptides are naturally occurring small-molecule peptides extracted from ginseng that exhibit positive effects on health and longevity. However, the current industrial production of ginseng oligopeptides primarily relies on plant extraction and chemical synthesis. In this study, we proposed a novel genetic engineering approach to produce active ginseng peptides through multicopy tandem insertion (5 and 15 times).

Integrating network pharmacology and experimental models to identify notoginsenoside R1 ameliorates atherosclerosis by inhibiting macrophage NLRP3 inflammasome activation.

Atherosclerosis is a cardiovascular disease, accounting for the most common mortality cause worldwide. Notoginsenoside R1 (NGR1) is a characteristic saponin of Radix notoginseng that exhibits anti-inflammatory and antioxidant effects while modulating lipid metabolism. Evidence suggests that NGR1 exerts cardioprotective, neuroprotective, and anti-atherosclerosis effects.

Dysregulated inter-mitochondrial crosstalk in glioblastoma cells revealed by in situ cryo-electron tomography.

Glioblastomas (GBMs) are the most lethal primary brain tumors with limited survival, even under aggressive treatments. The current therapeutics for GBMs are flawed due to the failure to accurately discriminate between normal proliferating cells and distinctive tumor cells. Mitochondria are essential to GBMs and serve as potential therapeutical targets.

Lifting the veils on transmembrane proteins: Potential anticancer targets.

Cancer, as a prevalent cause of mortality, poses a substantial global health burden and hinders efforts to enhance life expectancy. Nevertheless, the prognosis of patients with malignant tumors remains discouraging, owing to the lack of specific diagnostic and therapeutic targets. Therefore, the development of early diagnostic indicators and novel therapeutic drugs for the prevention and treatment of cancer is essential.

Construction of Coarse-Grained Molecular Dynamics with Many-Body Non-Markovian Memory.

We introduce a machine-learning-based coarse-grained molecular dynamics model that faithfully retains the many-body nature of the intermolecular dissipative interactions. Unlike the common empirical coarse-grained models, the present model is constructed based on the Mori-Zwanzig formalism and naturally inherits the heterogeneous state-dependent memory term rather than matching the mean-field metrics such as the velocity autocorrelation function. Numerical results show that preserving the many-body nature of the memory term is crucial for predicting the collective transport and diffusion processes, where empirical forms generally show limitations.

Clear Cell Renal Cell Carcinoma with Hemangioblastoma-Like Features: A Case Report.

Background: Clear cell renal cell carcinoma (ccRCC) constitutes the most frequently encountered sporadic class of kidney cancer in adults. Recently, a rare form of clear cell kidney cancer known as ccRCC with hemangioblastoma-like features was proposed, with unique immunological characteristics and a good prognosis. The tumor expressed alpha-inhibin and carbonic anhydrase Ⅸ (CA9) as examined by immunohistochemistry.

as a novel immune-related marker that defines the tumor microenvironment in triple-negative breast cancer.

Background: Triple-negative breast cancer (TNBC) is an aggressive cancer that affects about 13/100,000 women yearly. Patients with TNBC are often resistant to endocrine and molecular targeted therapy, making clinical treatment challenging. Researches indicate that tumor microenvironment (TME) is related to prognosis in many cancers.

TMEM200A is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer.

Background: Gastric cancer (GC) is one of the most common malignant tumors in the digestive system. Several transmembrane (TMEM) proteins are defined as tumor suppressors or oncogenes. However, the role and underlying mechanism of TMEM200A in GC remain unclear.

Mesh Convolution With Continuous Filters for 3-D Surface Parsing.

Geometric feature learning for 3-D surfaces is critical for many applications in computer graphics and 3-D vision. However, deep learning currently lags in hierarchical modeling of 3-D surfaces due to the lack of required operations and/or their efficient implementations. In this article, we propose a series of modular operations for effective geometric feature learning from 3-D triangle meshes.

COVID-19 contact tracking based on person reidentification and geospatial data.

Efficient contact tracing is a crucial step in preventing the spread of COVID-19. However, the current methods rely heavily on manual investigation and truthful reporting by high-risk individuals. Mobile applications and Bluetooth-based contact tracing methods have also been adopted, but privacy concerns and reliance on personal data have limited their effectiveness.

Identification of key pathways, genes and immune cell infiltration in hypoxia of high-altitude acclimatization meta-analysis and integrated bioinformatics analysis.

For individuals acutely exposed to high-altitude regions, environmental hypobaric hypoxia induces several physiological or pathological responses, especially immune dysfunction. Therefore, hypoxia is a potentially life-threatening factor, which has closely related to high-altitude acclimatization. However, its specific molecular mechanism is still unclear.

Numerical hemolysis performance evaluation of a rotary blood pump under different speed modulation profiles.

Speed modulation methods have been studied and even used clinically to create extra pulsation in the blood circulatory system with the assistance of a continuous flow rotary blood pump. However, fast speed variations may also increase the hemolysis potential inside the pump. This study investigates the hemolysis performance of a ventricular assist rotary blood pump under sinusoidal, square, and triangular wave speed modulation profiles using the computational fluid dynamics (CFD) method.

Machine learning assisted coarse-grained molecular dynamics modeling of meso-scale interfacial fluids.

A hallmark of meso-scale interfacial fluids is the multi-faceted, scale-dependent interfacial energy, which often manifests different characteristics across the molecular and continuum scale. The multi-scale nature imposes a challenge to construct reliable coarse-grained (CG) models, where the CG potential function needs to faithfully encode the many-body interactions arising from the unresolved atomistic interactions and account for the heterogeneous density distributions across the interface. We construct the CG models of both single- and two-component polymeric fluid systems based on the recently developed deep coarse-grained potential [Zhang et al.

Exploring the Mechanism of Buyang Huanwu Decoction Alleviating Restenosis by Regulating VSMC Phenotype Switching and Proliferation by Network Pharmacology and Molecular Docking.

Background: Buyang Huanwu Decoction (BHD) is used to regulate blood circulation and clear collaterals and is widely used in coronary heart disease. However, the active compounds and the mechanism of BHD used to treat restenosis are less understood.

Objective: The study aimed to explore the potential mechanism of Buyang Huanwu decoction BHD for the treatment of restenosis using network pharmacology and molecular docking experiments.

Data-driven construction of stochastic reduced dynamics encoded with non-Markovian features.

One important problem in constructing the reduced dynamics of molecular systems is the accurate modeling of the non-Markovian behavior arising from the dynamics of unresolved variables. The main complication emerges from the lack of scale separations, where the reduced dynamics generally exhibits pronounced memory and non-white noise terms. We propose a data-driven approach to learn the reduced model of multi-dimensional resolved variables that faithfully retains the non-Markovian dynamics.