Lupus

Disarming cGAS-STING hyperactivation in autoimmune and inflammatory diseases: Pathogenic mechanisms and emerging therapeutic strategies.

Aberrant activation of the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway has been increasingly recognized as a key driver of autoimmune and inflammatory diseases. In recent years, accumulating evidence has highlighted the close association between cGAS-STING signaling and the pathogenesis of these disorders, suggesting that pharmacological targeting of this pathway ...

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 novel anti-cancer drug screening platforms. This study developed a drug efficacy assessment platform that integrates patient-derived gastric cancer organoids, atomic force microscopy (AFM)-based nanomechanical vibration detection, deep learning anal...

rs57494551 increases CXCR5 expression and IgM+ CXCR5+ B-cell infiltration in the portal area of primary biliary cholangitis.

BACKGROUND: Primary biliary cholangitis (PBC) is a chronic, progressive, cholestatic liver disease caused by autoimmune reactions. A previous internat...

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....

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...

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...

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...

Engineering autoimmune disease models using organoids: Harnessing microenvironmental engineering for precision medicine and immunological recapitulation.

Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)-are increasingly understood ...

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...

Machine learning models identify prognostic factors in systemic lupus erythematosus patients with epstein-barr virus infection.

OBJECTIVE: To identify poor prognostic factors in Epstein-Barr virus (EBV)-positive systemic lupus erythematosus (SLE) using interpretable machine-lea...

Screening of potential targets of (2S)-2'-methoxykurarinone against sepsis and in vivo verification in zebrafish model.

OBJECTIVE: To screen the potential core targets of (2S)-2'-Methoxykurarinone, a dimethyldihydroflavonoid derived from Sophora flavescens, against seps...

AI-integrated multi-omics platform to revolutionize anti-metastatic therapy development through circulating tumor cell profiling: SCRUM-MONSTAR-CTC.

BACKGROUND: Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling pri...

Spatial analysis of paraneoplastic cerebellar degeneration in ovarian cancer with anti-Yo syndrome and SCA1.

BACKGROUND: Anti-Yo paraneoplastic cerebellar degeneration (PCD) is a rare autoimmune disorder linked to ovarian and breast cancers. Neurological symp...

IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging.

Immunosenescence increases susceptibility to infection and reduces vaccine responsiveness, yet bulk transcriptomic clocks obscure the cellular heterog...

Molecular mechanisms of phytochemicals from Zanthoxylum nitidum (Roxb.) DC. against hepatocellular carcinoma: insights from network pharmacology, molecular docking, and bioinformatics.

Hepatocellular carcinoma (HCC) is an aggressive malignancy with limited therapies. We explored the anti-HCC mechanisms of Zanthoxylum nitidum (Roxb.) ...

Integrating network pharmacology, machine learning, and molecular docking to explore the therapeutic mechanisms of Huangqin in atopic dermatitis: A STROBE-compliant observational study.

Atopic dermatitis (AD) is a chronic inflammatory skin disorder with complex pathogenesis, and current therapies face limitations in efficacy and safet...