Rheumatoid Arthritis

Wearable electrochemical biosensors for non-invasive sport doping control: sweat and saliva as dual biofluid platforms.

The integrity of competitive athletics is increasingly compromised by sophisticated pharmacologies, rendering traditional sporadic testing of urine and blood insufficient for comprehensive oversight. This critical review examines the emergence of wearable electrochemical biosensors as a non-invasive alternative capable of bridging the gap between laboratory precision and real-time field monitoring...

Targeted Extracellular Vesicles Deliver Asiaticoside to Inhibit AURKB/DRP1-Mediated Mitochondrial Fission and Attenuate Hypertrophic Scar Formation.

Hypertrophic scars (HS) are fibroproliferative lesions arising from aberrant wound healing, their high incidence is countered by a lack of effective interventions owing to an incomplete understanding of pathogenesis. Here, we identify dysregulated mitochondrial dynamics as a key driver of HS and develop a new targeted therapy. Specifically, excessive mitochondrial fission was observed in macrophag...

Anti-interference diffractive deep neural networks for multi-object recognition.

Optical neural networks (ONNs) are emerging as a promising neuromorphic computing paradigm for object recognition, offering unprecedented advantages i...

Beyond the dose: a clearance-enabled in vitro platform for evaluating local therapies.

Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeut...

Development of machine learning-driven non-invasive diagnostic models for idiopathic membranous nephropathy in Chinese patients.

BACKGROUND: Idiopathic membranous nephropathy (IMN) is a major cause of nephrotic syndrome and end-stage renal disease, but the gold-standard diagnost...

Integrating network toxicology, machine learning, and molecular dynamics simulations to reveal tanshinone iia's dual mechanisms in TNBC and doxorubicin-induced cardiotoxicity.

Doxorubicin (Dox)-induced cardiotoxicity remains a critical barrier to optimizing breast cancer (BC) treatment, highlighting the urgent need to dissec...

Prediction of anti-epileptic drug response of patients based on peripheral blood RNA profiles and machine learning.

OBJECTIVE: In this study, we aimed to develop a method for predicting the response of patients to three commonly used anti-epileptic drugs (AEDs), nam...

Overcoming Resistance in EGFR-Mutant Cancers: A Comprehensive Review of Inhibitor Evolution and SAR-Based Design.

The epidermal growth factor receptor (EGFR) is a key target in cancer therapy, mainly in non-small cell lung cancer (NSCLC). Though, the efficacy of E...

Deep learning predicts and in vitro experiments validates the synergistic anti-liver cancer effect of vincristine and lenvatinib: Mechanism involving apoptosis induction via the TNF-α/Caspase-8 pathway.

Resistance to lenvatinib has become a major obstacle in the clinical treatment of liver cancer, highlighting the significant research value and transl...

Uralenol, Glycyrol, and Abyssinone II as potent inhibitors of fibroblast growth factor receptor 2 from anti-cancer plants: A deep learning and molecular dynamics approach.

Fibroblast Growth Factor Receptor 2 (FGFR2) plays a critical role in cellular proliferation and differentiation, and its dysregulation is associated w...

Anti-Inflammatory Properties of Dendrobium: A Systematic Review of Pharmacological Mechanisms.

ETHNOPHARMACOLOGICAL RELEVANCE: In Traditional Chinese Medicine (TCM), Dendrobium species have long been utilized to alleviate various inflammatory sy...

Identification of Pyrrolo[2,3-d]pyrimidine-Based Dual MERTK and FLT3 Inhibitor: Hit-to-Lead, Machine Learning, Modeling, Synthesis, and Biological Evaluation.

Overexpression of MERTK and FLT3 plays a crucial role in activating signal transduction pathways in various human hematological malignancies. These si...

"Comprehensive multi-omics of age-respective plasma and matrix-bound extracellular vesicles identifies anti-fibrotic miRNAs validated on a heart-on-a-chip".

Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and numerous other diseases, but the mechanisms of thes...

Engineering Immune Cell to Counteract Aging and Aging-Associated Diseases.

Aging and age-related diseases are a major public health concern, driving interest in anti-aging research. While small molecules and natural compounds...

Interpretable machine learning models for QSAR-based prediction of anti-Salmonella typhi activity.

AIMS: This study aimed to develop a robust machine learning (ML)-based quantitative structure-activity relationship (QSAR) model to identify potential...

Advances in the pharmacology and mechanism of anti-skin aging in Tonifying Traditional Chinese Medicines.

ETHNOPHARMACOLOGICAL RELEVANCE: According to the Traditional Chinese Medicine (TCM) tenet that "internal imbalances manifest externally," skin aging r...

Polyphenols as Modulators of Macrophage Polarization: Mechanisms and Therapeutic Potential in Chronic Inflammatory Diseases.

Macrophage polarization between pro-inflammatory M1 and anti-inflammatory M2 phenotypes is pivotal in chronic inflammatory diseases, offering a key th...

Anti-angiogenesis effect of Baiying Juhua Decoction on the non-small cell lung cancer: integrating pharmacology, multi-machine learning and experimental investigation.

Baiying Juhua Decoction (BYJHD) is a well-established traditional Chinese herbal formula primarily composed of Solanum lyratum and chrysanthemum, whic...

Postbiotics and Nicotinamide Utilize Distinct Mechanisms to Improve Skin Barrier Integrity, Inflammation, and Keratinocyte Differentiation.

The modulation of immune responses and tissue regeneration by postbiotics is a rapidly advancing area in skin care. Here, we show that whole-cell post...

Structure-based and machine learning-assisted identification of natural phytochemicals targeting Mycobacterium leprae InhA for anti-mycobacterial therapeutics.

Mycobacterium leprae (M. leprae) is the bacterium that causes leprosy. It is a public health problem in many regions, especially in developing countri...