Biomedical subjects

Chunxia Dong

Publications and source records attributed to Chunxia Dong.

4 recordsLinked to original sources

PubMed2026

Machine learning-guided risk stratification in elderly AML based on genomic, immunophenotypic and therapeutic profiles.

BACKGROUND: Elderly patients with acute myeloid leukemia (AML) exhibit considerable biological and clinical heterogeneity, hindering precise prognosis. Existing prognostic systems inadequately capture the complexity of elderly AML due to their reliance on data from younger cohorts and omission of key factors like immunophenotypic markers and therapeutic profiles. This study aimed to develop and internally validate a machine learning-based prognostic model specifically tailored to elderly AML patients. METHODS: A total of 156 patients were analyzed using a two-stage modeling strategy. Clinical and genomic variables were modeled first, followed by independent analysis of immunophenotypic features. Feature selection was performed using multilayer perceptron (MLP) and random forest (RF), while multivariate Cox regression was used for final model construction. Internal validation was conducted using 1000 bootstrap iterations to assess model stability and performance. RESULTS: The model demonstrated strong predictive performance, with a concordance index (C-index) of 0.702. Time-dependent area under the curve (AUC) and calibration plots confirmed accurate prediction of 1-, 3-, and 5-year overall survival. Decision curve analysis indicated favorable net benefit across a range of threshold probabilities. Key independent prognostic factors identified included TP53 mutations, high CD13 expression, and IDH2 mutations. CONCLUSION: This model provides a robust and interpretable tool for individualized risk stratification in elderly AML. By integrating genomic, immunophenotypic, and therapeutic variables, it may help optimize treatment decisions and improve outcomes for this vulnerable population. Future efforts should focus on external validation and integration of dynamic biomarkers.

Humans↗

PubMed2006

Inhibitory effects of fenofibrate on plasminogen activator inhibitor-1 expression in human endothelial cells.

The effects of fenofibrate on plasminogen activator inhibitor-1 (PAI-1) expression in human umbilical endothelial cell-derived transformed cell line--ECV 304 cells were investigated. ECV 304 cells were incubated with different concentrations of fenofibrate (0, 10, 50, 100 micromol/L) for 24 h. PAI-1 mRNA and protein was detected by reverse transcription-polymerase chain reaction (RT-PCR) and Western blot respectively. PAI-1 antigenic content of endothelial cells was measured by using ELISA. Fenofibrate could inhibit the PAI-1 mRNA and protein expression and reduce PAI-1 antigenic content dependently. After treatment with fenofibrate (10 micromol/L), the expression levels of PAI-1 mRNA and protein were 0.65 +/- 0.05 and 0.96 +/- 0.11 respectively, significantly lower than in the control group (0.78 +/- 0.03 and 1.21 +/- 0.15, respectively, P<0.05). PAI-1 antigenic contents (24.52 +/- 8.39) in ECV304 cells treated with 10 micromol/L fenofibrate were significantly lower than those in the control group (6.98 +/- 5.12, P<0.05). It was concluded that fenofibrate inhibited the expression of PAI-1 mRNA in ECV304 cells, and reduce the protein expression and the antigenic content of PAI-1, suggesting that fenofibrate may have an antiatherosclerotic effect on endothelial cells by PAI-1 pathway.

Blotting, Western↗

PubMed2005

The hydrophobic surface of PaAMP from pokeweed seeds is essential to its interaction with fungal membrane lipids and the antifungal activity.

PaAMP is a small seed-specific antimicrobial protein from pokeweeds. It has a cysteine-knot fold with a positive patch and a hydrophobic surface. Site-specific mutagenesis was performed to study the roles of these two domains in antimicrobial activity and we found that the mutations in the hydrophobic surface had a more profound effect than that in the positive patch. A protein-membrane interaction was observed with the green fluorescence protein-PaAMP (GFP-AMP) fusion protein. The mutations that replace the amino acid residues forming hydrophobic surface with neutral residues abolished the interaction of PaAMP with the membrane and the binding of PaAMP to fungal sphingolipids while ergosterol enhanced the binding, suggesting that the hydrophobic surface was required for the interaction between PaAMP and fungal plasma membrane lipid raft.

Antifungal Agents↗

PubMed2003

Sulfonation of polyvinylidene difluoride resin and its application in extraction of restriction enzymes from DNA digestion solutions.

Sulfonation of polyvinylidene difluoride (PVDF) resin was achieved by incubation of the resin with sulfuric acid at a moderately high temperature. The sulfonated PVDF (SPVDF) resin was studied for its ability to extract restriction enzymes from DNA digestion solutions. The SPVDF resin was effective in adsorbing restriction enzymes such as EcoRI and BamHI and the extraction procedure was easy and simple to perform. The adsorption depended upon the amount of the resin added. We found that 1 mg of the SPVDF resin could completely remove all restriction enzyme activity routinely used in DNA digestion within 2 min after its addition. Treatment of a digestion solution with the SPVDF resin did not change the reaction solution and the same digestion buffer could be used for another digestion of the same DNA with other enzymes. We also found that, in comparison with normal PVDF, the SPVDF resin adsorbed less DNA, resulting in less loss of DNA in the extraction step. The potential application of the SPVDF resin in other procedures of molecular cloning and enzyme purification is discussed.

Absorption↗