Lupus

Multiomics reveals fatty acid metabolism and immune remodeling in retinal artery occlusion.

Retinal artery occlusion (RAO), an acute ocular ischemic stroke, is critically linked to cardiovascular and metabolic dysfunction. To elucidate the interplay between lipid metabolism and immune regulation in RAO, we performed an integrated analysis using serum metabolomics, PBMC transcriptomics, and machine learning in 66 patients with RAO and 66 cataract controls. We identified systemic disruptio...

Plasma proteomics improves thrombosis prediction in patients with cancer and identifies targetable IL-17-driven endothelial activation.

Thrombosis remains a major cause of morbidity and mortality in patients with cancer. Existing risk models fail to reliably predict venous thromboembolism (VTE), underscoring the need for more accurate predictive models. In this study, we conducted a high-throughput proteomic analysis of 1105 plasma proteins in peripheral blood samples from patients with newly diagnosed lung or gastric cancer who w...

Transcriptomic profiling identifies immunotherapy-responsive phenotypes in microsatellite-stable metastatic colorectal cancer.

Conventional immune checkpoint inhibitors (ICIs) remain largely ineffective in microsatellite-stable metastatic colorectal cancer (MSS mCRC), where lo...

Ophiopogon japonicus alleviates pulmonary fibrosis through modulation of HIF1A/TUBB3 axis-associated M2 macrophage polarization and arginine metabolic alterations.

ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese medicinal herb commonly used to "nourish yin and mois...

AI-driven discovery of synergistic combinations from Psoralea corylifolia fruit for treating osteoporosis.

BACKGROUND: Estrogen-deficient osteoporosis demands safe and effective therapies. Psoralea corylifolia fruit (PCF), a phytoestrogenic herbal medicine ...

Sinomenine alleviates ulcerative colitis by targeting FXR to regulate arachidonic acid metabolism and Th17/Treg homeostasis.

Sinomenine (SIN), a bioactive alkaloid with anti-inflammatory activity, has shown therapeutic potential in ulcerative colitis (UC), but its precise mo...

Multi-cohort transcriptomic analysis with machine learning identifies interferon-related candidate genes in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with complex molecular mechanisms. Although transcriptomic studies have revea...

Comparing the Accuracy of ChatGPT-4o, DeepSeek-V3, and Gemini 2.5 Flash in Answering Frequently Asked Questions About Systemic Lupus Erythematosus: Quantitative Study.

BACKGROUND: Systemic lupus erythematosus (SLE) is a complex, fluctuating disease, creating a continuous need for reliable patient information. A prior...

High Patient Willingness to Grant Broad Consent for Real-World Data Use in Rheumatology-Implications for Real-World Data Platform Governance: Cross-Sectional Study.

BACKGROUND: Medical real-world data (RWD) are often siloed across organizations, making them inaccessible for research. Unlocking these data could adv...

A temporal-spectral dual-stream anti-noise bearing fault diagnosis model based on adaptive mode decomposition.

In recent years, deep learning-based bearing fault diagnosis models have achieved remarkable performance under ideal experimental conditions. However,...

Mechanism of liquiritin from Codonopsis pilosula-Glycyrrhiza uralensis extract in alleviating piglet weaning stress via binding to alpha-1-microglobulin/bikunin precursor by machine learning and molecular dynamics simulation.

Weaning stress is a prevalent pathological condition in pig farming, primarily triggered by factors such as nutritional imbalance, oxidative stress, i...

Computational approaches for identifying quorum sensing inhibitors.

Quorum sensing (QS) is a critical cell-to-cell communication mechanism employed by microorganisms to coordinate their collective behaviors, including ...

Plasma signals of lung tumor promotion for molecular cancer prevention.

Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammatory Thrombosis Outcome Study (CANTOS) trial demons...

An in-sensor communication electronic textile for imperceptible and ultrarobust silent speech.

Aphasiacs with impaired vocal organs suffer profound communication barriers, making silent speech decoding essential. Although audible speech is absen...

Single-cell sequencing in systemic lupus erythematosus.

BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by heterogeneous clinical manifestations and multi-organ in...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immuno...

Integrating machine learning with QSPR for property prediction of anti-vertigo drugs.

Vertigo is a debilitating vestibular disorder affecting approximately 10-30% of the global population, yet no dedicated computational chemistry study ...

EnAcrPred: A robust ensemble machine learning framework for identifying anti-CRISPR proteins.

The identification of anti-CRISPR proteins (Acrs) is crucial for understanding the regulation of CRISPR-Cas systems and their application in gene edit...

From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?

Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkp...

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection. Sepsis can induce cellular senescence, thereby ex...