Biomedical subjects

Qiang Wei

Publications and source records attributed to Qiang Wei.

5 recordsLinked to original sources

PubMed2026

Artificial Intelligence-Driven Multi-Omics Analysis Reveals Hydroxytyrosol Targeting of the TXNIP-NLRP3 Inflammasome Axis in Traumatic Brain Injury.

Traumatic brain injury (TBI) induces secondary neuroinflammation driven by oxidative stress, inflammasome activation, and immune remodeling, yet specific mechanism-guided pharmacological interventions remain limited. This study established an artificial intelligence (AI)-integrated network pharmacology and multi-omics framework to evaluate whether hydroxytyrosol (HT), an olive-derived natural polyphenol, may regulate TBI-related neuroinflammatory targets centered on the TXNIP/NLRP3 inflammasome axis. Starting from the SMILES structure of HT, potential targets were predicted using PharmMapper, SwissTargetPrediction, and the Similarity Ensemble Approach and were standardized to UniProt identifiers. TBI-associated genes were integrated from GeneCards, DisGeNET, OMIM, and the Therapeutic Target Database. The overlapping target set was analyzed using STRING-based protein-protein interaction (PPI) networks, MCODE, CytoHubba, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Public GEO transcriptomic datasets (GSE123831 and GSE104687) were used for cross-platform expression validation, differential expression analysis, and exploratory CIBERSORT-based immune infiltration estimation. Random forest (RF), multilayer perceptron (MLP), graph convolutional network (GCN), graph attention network (GAT), SHAP/LIME explainability analysis, LASSO inflammatory-risk scoring, and two-sample Mendelian randomization (MR) were further applied for target prioritization, immune phenotype mapping, and genetic association analysis. Seventy-three overlapping HT-TBI targets were identified. PPI and topology analyses prioritized TXNIP, NLRP3, CASP1, MAPK1, and TP53 as key hubs enriched in inflammasome activation, oxidative stress, apoptosis, and NOD-like receptor signaling. TXNIP, NLRP3, and CASP1 were consistently upregulated in both TBI transcriptomic datasets. LM22-based immune deconvolution suggested increased pro-inflammatory immune signatures and a positive TXNIP-M1 macrophage association (r = 0.63, p < 0.001), which should be interpreted as a transcriptome-derived hypothesis rather than validated murine immune-cell proportions. AI-based models consistently ranked TXNIP/NLRP3 as high-contribution features under internal validation, and removal of these targets reduced model performance. A five-gene inflammatory score achieved an internally evaluated AUC of 0.87, while two-sample MR supported positive genetic associations involving TXNIP expression, TBI risk, NLRP3 and IL-1β expression. Collectively, these findings prioritize the TXNIP/NLRP3/CASP1 module as a computationally supported candidate mechanism through which HT may influence oxidative stress-inflammasome-immune coupling in TBI. This study provides an interpretable drug-target-pathway-phenotype framework and identifies TXNIP, NLRP3, and CASP1 as priority nodes for future experimental validation.

Artificial Intelligence↗

PubMed2026

Detection of Residual Pluripotent Stem Cells in Differentiated Cells-General Requirements for Probe-Based Quantitative PCR Assay.

Residual PSC detection follows ultra‑trace‑analysis principles. LOD supports qualitative assessment. Assays employ PSC‑specific markers and proper references, with adaptation to differentiated cell populations from diverse PSC sources.

Editorial↗

PubMed2026

Testing for Bacteria and Fungi in Cells and Ancillary Reagents-Probe-Based Quantitative PCR Assays.

This document specifies the technical elements for bacteria and fungi detection by PCR assay which enables rapid, broad-spectrum detection of bacteria and fungi with high sensitivity. Qualitative judgement is based on LOD. Key detection points include efficient nucleic acid extraction, broad-spectrum primer-probe design, high amplification efficiency and minimised background interference.

Editorial↗

PubMed2025

CRISPR RNP-Mediated Transgene-Free Genome Editing in Plants: Advances, Challenges and Future Directions for Tree Species.

CRISPR ribonucleoprotein (RNP)-mediated genome editing offers a transgene-free platform for precise genetic modification in diverse herbaceous and tree species, including rice, wheat, apple, poplar, oil palm, rubber tree and grapevine. However, its application in woody plants faces distinct challenges, notably inefficient delivery and regeneration difficulties, particularly in species such as bamboo. While some of these issues also occur in herbaceous plants, they are often significantly more complex in woody species due to factors such as intricate cell wall architecture, widespread recalcitrant genotypes and inherent limitations of current delivery platforms. This review presents the first in-depth, critical re-evaluation of recent advancements in RNP-mediated editing in woody plants, highlighting these obstacles that warrant focused attention. Unlike plasmid-based CRISPR systems, RNP editing utilises Cas9/Cas12a protein-guide RNA complexes without integrating foreign DNA. This enables a DNA-free editing strategy that simplifies regulatory approval and minimises off-target effects due to the transient presence and rapid degradation of RNPs within plant cells. While PEG-mediated protoplast transfection and particle bombardment remain the primary reported methods for RNP delivery in trees, we evaluate promising alternative strategies such as lipofection, electroporation, cell-penetrating peptides and nanoparticle-based systems for targeted RNP delivery. Despite their promise, these advanced methods remain largely untested in woody species. Finally, we outline future research directions, including the development of tree-specific RNP delivery systems and regeneration protocols to enhance efficiency and minimise cytotoxicity. These innovations are essential for unlocking the full potential of RNP-mediated genome editing in long-lived tree species. This review provides a focused and timely roadmap for expanding the application of RNP technology across diverse woody plants.

Gene Editing↗

PubMed2025

The RNA helicase DDX17 enhances androgen receptor stability by interacting with the E3 ubiquitin ligase SPOP in prostate cancer.

BACKGROUND: Prostate cancer (PCa) is a common malignancy in men, closely associated with androgen receptor (AR) signaling, and often diagnosed with elevated prostate-specific antigen (PSA). While androgen deprivation therapy (ADT) is effective, resistance develops due to reactivation of AR signaling, driving disease progression. We aimed to explore the role of DDX17 in the progression of PCa through its interaction with SPOP. We hypothesized that DDX17 can stabilize the AR by inhibiting SPOP-mediated ubiquitination, thereby maintaining AR signaling which supports tumor growth and survival. METHODS: We collected gene expression data and clinical information from PCa patients from The Cancer Genome Atlas and Gene Expression Omnibus databases. Messenger RNA (mRNA) and protein levels were quantified using quantitative real-time polymerase chain reaction (PCR) and western blotting, respectively. Cell viability and invasion capabilities were assessed using cell counting kit-8 (CCK-8) and transwell invasion assays. The interactions between DDX17 and SPOP were examined through coimmunoprecipitation assays. RESULTS: DDX17 exhibited high expression in both PCa tissues and cells. Silencing DDX17 led to reduced proliferation and invasion of PCa cells. Mechanistic investigations revealed that DDX17 directly interacted with SPOP, sustaining AR stability by preventing AR ubiquitination. These findings suggest a role of DDX17 in promoting the progression of PCa by binding and blocking SPOP ubiquitination of AR. CONCLUSIONS: This study elucidated a novel mechanism through which the RNA helicase DDX17 can promote PCa progression through its interaction with SPOP, thereby enhancing AR stability by inhibiting AR ubiquitination.

DDX17↗