Lupus

Morphometric analysis and its application in lupus nephritis: a systematic review.

Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), characterized by marked histological heterogeneity and high interobserver variability in the evaluation of renal biopsies. Digital morphometry has emerged as an objective and reproducible tool that enables precise quantification of tissuelesions, thereby enhancing diagnostic accuracy and prognostic assessment. To...

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatment of neovascular age-related macular degeneration (nAMD) burden patients and healthcare systems. Faricimab may reduce this burden, but robust data are lacking. This study aimed to systematically quantify the injection frequency reduction with faricimab compared to anti-VEGF agents and estimate Dut...

Integrative Bioinformatics and Machine Learning Identify Novel Diagnostic Biomarkers and Molecular Mechanisms in Sjögren's Syndrome.

BACKGROUND: Sjögren's syndrome (SS) is a chronic autoimmune disorder characterized by significant diagnostic challenges due to nonspecific symptoms an...

Lymph Node Metastasis-Associated Spatiotemporal Mapping of the TFF3-Linked Niche in Breast Cancer: Integrating Radiogenomic Signatures with Immune-Ecosystem Remodeling.

Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct clinical outcomes, including reduced survival (The...

Serial Aqueous Humor Proteomics in Diabetic Macular Edema: Correlation of Novel Targets with Retinal Fluid Volume.

OBJECTIVE: Diabetic macular edema (DME) with incomplete response to anti-VEGF therapy is a significant challenge. Here, we integrated advanced proteom...

Plasma proteomics biomarkers for predicting anti-tuberculosis drug-induced liver injury: A comprehensive assessment.

AIMS: This study aims to identify predictive plasma protein biomarkers for anti-tuberculosis drug-induced liver injury (ATB-DILI) and develop machine ...

Integration of interpretable multi-features and multi-loss functions for multi-functional therapeutic peptide prediction via dataset construction.

Multi-functional therapeutic peptides (MFTP) play a crucial role in drug development, exhibiting properties such as anti-cancer, anti-inflammatory eff...

A research on applying the diffusion model algorithm for Infrared and Raman spectroscopy data augmentation to improve the accuracy of diseases.

In recent years, Raman and Infrared spectroscopy have become important tools in disease diagnosis due to their high sensitivity and non-invasive detec...

Machine learning-based identification of factors associated with spontaneous abortion in patients with Systemic lupus erythematosus (SLE): Insights from the Egyptian College of Rheumatology (ECR)-SLE cohort.

BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and is associated with an increased risk of spontaneo...

Bergenin attenuates traumatic brain injury via inhibition of microglial PFKFB3-driven glycolytic-inflammatory crosstalk.

Traumatic brain injury (TBI) initiates a complex cascade of neuroinflammatory and metabolic disturbances that exacerbate neuronal loss and neurologica...

Reconnecting new tetrahydrobenzothieno-4-pyrimidine amides as potent PIM-1 kinase inhibitors via an integrated ligand, machine learning model and structure based scaffold hopping: In vitro anti-tumor investigations.

PIM1 has been known to be one of the prolific molecular target in the discovery of new potential anticancer drugs due to its engagement in activation ...

Machine learning reveals sex-biased platelet-associated molecular signatures in systemic lupus erythematosus.

OBJECTIVES: Autoimmune diseases (ADs) demonstrate a higher prevalence in women than men. Systemic Lupus Erythematosus (SLE) stands out among multiple ...

Integrated bioinformatics and clinical validation reveals PRDX6 as a mitochondrial hub gene in systemic lupus erythematosus.

OBJECTIVES: Peroxiredoxin 6 (PRDX6), a potent antioxidant enzyme, has garnered considerable interest for its potential involvement in inflammatory dis...

Identification and validation of key autophagy-related genes in Lupus nephritis.

OBJECTIVES: Lupus nephritis (LN) is one of the most common complications of systemic lupus erythematosus. This study aimed to identify key autophagy-r...

Aucklandia lappa, Vladimiria souliei, and Inula helenium: A comprehensive review on the ethnomedicines, phytochemicals, quality control and pharmacology of three confusable Muxiang varieties (2015-2025).

ETHNOPHARMACOLOGICAL RELEVANCE: The dried roots of Aucklandia lappa (Mu-Xiang), Vladimiria souliei (Chuan-Mu-Xiang), and Inula helenium (Tu-Mu-Xiang),...

Strategy and efficiency-redefined discovery of novel nanomolar tyrosinase inhibitors: AI de novo molecular generation + expert-guided structural optimization.

Artificial intelligence (AI) has played an excellent supporting role in novel drug discovery and development. This study introduces a reinforcement le...

HERC5, IFI6, IFIT3, and OASL as potential diagnostic biomarkers for systemic lupus erythematosus: an integrated bioinformatics, machine learning and clinical validation.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a life-threatening autoimmune disorder causing multi-organ damage. Current diagnostic methods are hi...

HGAlign: Biologically preserving batch correction and classification for metabolomics via heterogeneous graph alignment.

Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-MS) is a powerful tool for profiling complex biological samples. However, large-s...

Revealing the anti-tumor mechanisms of aromatic oil from Amomum villosum through integrated network pharmacology, bioinformatics, machine learning, single-cell sequencing, and cell experiments.

The dry fruits of Amomum villosum (Av) are a traditional Chinese medicine used for gastrointestinal disease. Aromatic oil has been reported to have an...

Amentoflavone from Ginkgo biloba inhibits EMT-driven lung cancer metastasis by targeting TGFBR2: Integrative network pharmacology, machine learning, and experimental validation.

ETHNOPHARMACOLOGICAL RELEVANCE: In non-small cell lung cancer (NSCLC), fatal outcomes predominantly result from metastatic dissemination, highlighting...