Rheumatoid Arthritis

Natural and Synthetic AMPs from Latin America across Diversity Engineering and Applications.

Latin America's biodiversity accounts for approximately 60% of the world's total, fueling scientific research into natural products, a highly relevant area in drug discovery to this day. This is accompanied by an increasing number of antimicrobial peptides (AMPs) derived from natural products in the region, which over the past decade have been redesigned through modifications, enhancements, and re...

Altered Complement and Tubular Mitochondrial Proteins Are Linked to Graft Loss in DSA+ Antibody-Mediated Rejection.

BACKGROUND: Antibody-mediated rejection (AMR) is the main driver of late kidney allograft loss. Anti-HLA donor-specific antibodies (DSA) are strongly associated with AMR. However, 30-60% of DSA+ patients do not develop AMR, raising the possibility of local tissue adaptations to DSA. METHODS: We performed unbiased proteomic analysis on glomeruli and tubulointerstitium isolated using laser-capture m...

Bridging fibrosis and function: an integrated mechanistic and therapeutic framework for Peyronie's disease and related erectile dysfunction.

INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...

Deciphering Anti-Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids.

Cancer poses a severe threat to human health. The limited sensitivity and efficiency of conventional drug screening methods create a pressing need for...

The diagnostic value of the circadian rhythm gene KLF10 in anxiety-depressive disorders and its neuroimmune regulatory mechanisms.

BACKGROUND: Anxiety-depressive disorder (ADD) is one of the important subtypes of depression, which has been shown to be closely related to neuroimmun...

Apolipoprotein M: A liver-derived lipid-binding protein protects against heart failure with preserved ejection fraction by inhibiting TGF-β signaling.

BACKGROUND: Visceral and hepatic adiposity and associated inflammation are recognized as prominent features of heart failure (HF) with preserved eject...

Advanced assay design for characterizing anti-drug antibody responses in clinical serum samples.

Monitoring anti-drug antibody (ADA) responses is critical for evaluating the safety and efficacy of protein therapeutics. While traditional three-tier...

Multi-modal ensemble learning prediction of anti-TNF treatment response in pediatric patients with Crohn's disease using clinical, radiomic, and deep learning MR enterography features.

BACKGROUND: Anti-tumor necrosis factor (TNF) medical therapy is a major advancement for Crohn's disease (CD) management, yet many patients fail to res...

Patient-Based Real-Time Quality Control for Semiquantitative Tests Based on Hierarchical Differences.

BACKGROUND: With developments in artificial intelligence, patient-based real-time quality control (PBRTQC) has advanced. However, its application to s...

Anti-virulence activity of peptide C7-3 and its derivatives against Pseudomonas aeruginosa.

BACKGROUND: Pseudomonas aeruginosa is a highly resistant pathogenic bacterium known for causing infections,particularly in immunocompromised patients....

The FERM guild: a differentially correlated microbial module drives hypertension via metabolic flux perturbations.

UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota composition and function being closely ass...

Data-driven optimization of siderophore fermentation by Bacillus altitudinis AS19 and investigation of AS19's antifungal properties against Candida albicans.

Candida albicans is a common opportunistic pathogenic fungus capable of causing severe infections when host immunity is compromised or when the normal...

AI-Empowered Mechanomedicine for Cancer-Related Lymphedema.

Cancer-related lymphedema is a chronic progressive side effect of cancer treatments followed by lymph node dissection or radiotherapy. Clinicians ofte...

A network approach with motion sequencing reveals hidden patterns of repetitive behavior in a pre-clinical model of epilepsy.

Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients with epilepsy bare a disproportionate burden of co...

Integrative Identification of Anti-Photoaging Peptides From Stress-Tolerant Microorganisms via Machine Learning and KEAP1-NRF2 Docking.

Excess reactive oxygen species generated by ultraviolet exposure cause photoaging by degrading collagen and inhibiting its synthesis. This study prese...

Prediction Model for Mild Cognitive Impairment in Older Chinese Patients With Cerebral Small Vessel Disease Based on XGBoost Algorithms and Shapley Additive Explanations.

OBJECTIVE: This study aims to evaluate cognitive function in patients with Cerebral Small Vessel Disease (CSVD) and investigate its association with v...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...

Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.

Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...

Boron-Doped Diamond Electrodes for Voltammetric Determination of Major Antibiotic Classes: Electrochemical Mechanisms, Intelligent Analytical Systems, and Critical Perspectives.

This review sort of critically assesses how boron-doped diamond electrodes (BDDEs) are becoming more important for voltammetric determination of major...

Machine learning-powered qualitative structure properties relationship models for prediction of corrosion inhibition efficiencies of triazoles.

The development of a holistic theoretical framework that can predict the corrosion inhibition efficiency and evaluate the anti-corrosion potentials of...