CK-666 protects against ferroptosis and renal ischemia-reperfusion injury through a microfilament-independent mechanism.

Ferroptosis is a type of regulated cell death driven by iron-dependent accumulation of lipid peroxidation, exhibiting unique morphological changes. While actin microfilaments are crucial for various cellular processes, including morphogenesis, motility, endocytosis, and cell death, their role in ferroptosis remains unclear. Here, our study reveals that actin microfilaments undergo remodeling and disassembly during ferroptosis.

Inoculation of Bv-116 and its bio-organic fertilizer serve as an environmental friendly biocontrol strategy against cucumber wilt.

The aim of this study was to evaluate the effects of Bv-116 and its bio-organic fertilizer on the control of cucumber wilt caused by f. sp. (FOC), the promotion of growth of cucumber seedlings, and the soil microbial community.

Inhibiting lncRNA NEAT1 Increases Glioblastoma Response to TMZ by Reducing Connexin 43 Expression.

Objectives: Glioblastoma multiforme (GBM) is considered the most assailant subtype of gliomas, presenting a formidable obstacle because of its inherent resistance to temozolomide (TMZ). This study aimed to characterize the function of lncRNA NEAT1 in facilitating the advancement of gliomas.

Methods: The expression level of NEAT1 in glioma tissues and cells was detected by qRT-PCR.

The Structure Characterization of Polysaccharides from Codonopsis Pilosula and the Structure-Activity Relationship with Immune-Regulation on THP-1 Cells.

In recent years, polysaccharides from Codonopsis pilosula (CPs) have received increasing attention for their excellent behaviors in immune-regulation. However, the relationship between the structure and immunomodulatory activity has rarely been reported. In this work, four fractions purified from crude CPs (CPW, CPS0.

Transcutaneous auricular vagus nerve stimulation for long-term post-stroke cognitive impairment: a DTI case report.

Purpose: Long-term post-stroke cognitive impairment (PSCI) exhibits an accelerated rate of long-term cognitive decline, which can impair communication, limit social engagement, and increase rate of institutional dependence. The aim of this case report is to provide evidence for the potential of home-based transcutaneous auricular vagus nerve stimulation (taVNS) for home-bound patients with severe, long-term PSCI.

Methods: A 71-year-old male suffered a stroke two and a half years ago, which imaging reported foci of cerebral infarction visible in the left temporal and parietal lobes.

Distance guided generative adversarial network for explainable medical image classifications.

Despite the potential benefits of data augmentation for mitigating data insufficiency, traditional augmentation methods primarily rely on prior intra-domain knowledge. On the other hand, advanced generative adversarial networks (GANs) generate inter-domain samples with limited variety. These previous methods make limited contributions to describing the decision boundaries for binary classification.

Urine Albumin-to-Creatinine Ratio as an Indicator of Brain Activity Changes in Chronic Kidney Disease: A Resting-State fMRI Study.

Objective: Chronic kidney disease (CKD) is increasingly recognized as a risk factor for alterations in brain function. However, detecting early-stage symptoms and structural changes remains challenging, potentially leading to delayed treatment. In our study, we aimed to investigate spontaneous brain activity changes in CKD patients using resting-state functional magnetic resonance imaging (fMRI).

PrescDRL: deep reinforcement learning for herbal prescription planning in treatment of chronic diseases.

Treatment planning for chronic diseases is a critical task in medical artificial intelligence, particularly in traditional Chinese medicine (TCM). However, generating optimized sequential treatment strategies for patients with chronic diseases in different clinical encounters remains a challenging issue that requires further exploration. In this study, we proposed a TCM herbal prescription planning framework based on deep reinforcement learning for chronic disease treatment (PrescDRL).

Tryptophan Metabolism Disorder-Triggered Diseases, Mechanisms, and Therapeutic Strategies: A Scientometric Review.

Background: Tryptophan is widely present in foods such as peanuts, milk, and bananas, playing a crucial role in maintaining metabolic homeostasis in health and disease. Tryptophan metabolism is involved in the development and progression of immune, nervous, and digestive system diseases. Although some excellent reviews on tryptophan metabolism exist, there has been no systematic scientometric study as of yet.

PresRecRF: Herbal prescription recommendation via the representation fusion of large TCM semantics and molecular knowledge.

Background: Herbal prescription recommendation (HPR) is a hotspot in the research of clinical intelligent decision support. Recently plentiful HPR models based on deep neural networks have been proposed. Owing to insufficient data, e.

Cimicifuga heracleifolia kom. Attenuates ulcerative colitis through the PI3K/AKT/NF-κB signaling pathway.

Ethnopharmacological Relevance: Cimicifuga heracleifolia Kom. (C. heracleifolia) has demonstrated efficacy in treating gastrointestinal disorders, including splenasthenic diarrhea.

Mapping individual cortico-basal ganglia-thalamo-cortical circuits integrating structural and functional connectome: implications for upper limb motor impairment poststroke.

This study investigated alterations in functional connectivity (FC) within cortico-basal ganglia-thalamo-cortical (CBTC) circuits and identified critical connections influencing poststroke motor recovery, offering insights into optimizing brain modulation strategies to address the limitations of traditional single-target stimulation. We delineated individual-specific parallel loops of CBTC through probabilistic tracking and voxel connectivity profiles-based segmentation and calculated FC values in poststroke patients and healthy controls, comparing with conventional atlas-based FC calculation. Support vector machine (SVM) analysis distinguished poststroke patients from controls.

Bioinformatics-based drug repositioning and prediction of the main active ingredients and potential mechanisms of action for the efficacy of Dan-Lou tablet.

Drug repositioning is gaining attention as a method for developing new drugs due to its low cost, short cycle time, and high success rate. One important approach is to explore new uses for already marketed drugs. In this study, we utilized the strategy of drug repositioning, focusing on the Dan-Lou tablet.

Altered Resting-State Electroencephalogram Microstate Characteristics in Stroke Patients.

Background: Stroke remains a leading cause of disability globally and movement impairment is the most common complication in stroke patients. Resting-state electroencephalography (EEG) microstate analysis is a non-invasive approach of whole-brain imaging based on the spatiotemporal pattern of the entire cerebral cortex. The present study aims to investigate microstate alterations in stroke patients.

The β-glucan nanotube carrier achieves detoxification and efficacy enhancement of celastrol in intrahepatic cholangiocarcinoma therapy by increasing targeted controlled release and macrophage polarization.

Celastrol (Cel) is a monomer from a famous traditional Chinese medicine named Tripterygium wilfordii Hook. f. Cel has shown great potential in treating intrahepatic cholangiocarcinoma (ICC) but still faces problems, including poor water solubility, high toxicity, and lack of targeting ability.

Structural properties, bioactivities, structure-activity relationships and bio-applications of polysaccharides from Auricularia auricula: A review.

Auricularia auricula (A. auricula), is a medicinal and edible fungus in China for thousands of years with rich nutrition and delicious taste. The main active ingredient of A.