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Influence of FAM13A gene polymorphism and serum matrix metalloproteinases 9 and 12 on the phenotypes of chronic obstructive pulmonary disease.

PURPOSE: FAM13A as a susceptibility gene for chronic obstructive pulmonary disease(COPD).Many studies verified that FAM13A involved epithelial‒mesenchymal transition (EMT) via the TGF-β1 pathway, some accompanied by an increase in MMP levels. The present study aimed to explore the disease susceptibility of the FAM13A gene, with clinical phenotypes, and investigate the relationships between FAM13A SNP loci and the serum levels of MMP-9 and MMP-12. PATIENTS AND METHODS: We recurited 497 patients with stable COPD patients and 303 healthy controls. Data on blood tests, pulmonary function, and HRCT imaging were collected. Serum MMP-9 and MMP-12 levels were measured by ELISA. Genomic DNA was extracted, and SNPs in the FAM13A gene were detected using targeted region genotyping chips. Logistic regression analysis was performed to assess the associations between SNP loci and COPD susceptibility. Differences in pulmonary function, haematological indicators, bronchial wall thickness, and emphysema parameters among different genotypes were evaluated. Multiple linear regression analysis was used to explore the relationship between genotypes and serum MMP-12 level. RESULTS: We screened a total of 476 SNPs and identified the rs2869947 polymorphism in the FAM13A gene as significantly associated with an increased risk of COPD,Stratified analyses further revealed that this association was particularly in males and individual with BMI ≥ 24.Serum levels of MMP-9 and MMP-12 were significantly higher in COPD patients compared with healthy controls. Genotype(AA vs.GG) showed no significant association with pulmonary function severity,bronchial wall indices,hematological marker,and serum MMP-9 levels in COPD patients(P > 0.05).Compared with GG genotype, AA genotype presented significantly higher LAA-950% and serum MMP-12 levels (P = 0.049 and P = 0.023). CONCLUSION: Our findings suggest that the FAM13A SNP rs2869947 may be associated with COPD susceptibility in the Han Chinese population. The FAM13A AA genotype increased serum MMP-12 levels and correlated with emphysema phenotype.

Humans

Machine Learning-Driven Prediction of Coronary Artery Disease Risk Based on UK Biobank Plasma Proteomics.

BACKGROUND: Coronary artery disease (CAD) is a leading global cause of mortality, yet the predictive accuracy of conventional risk models is limited. Here, we integrate conventional risk factors, polygenic risk scores, and large-scale proteomics to develop a unified model for enhanced CAD risk prediction. METHODS: Using data from UK Biobank, participants with plasma proteomics and genetic risk data were included after excluding prevalent CAD. Participants from England were split into training (n=32 330) and internal validation (n=13 857) sets, and Scotland/Wales participants formed an external validation set (n=5775). Incident CAD was ascertained from linked health records. A 202-protein proteomic risk score was derived by least absolute shrinkage and selection operator Cox regression, and CatBoost models were trained using conventional risk factors alone and with incremental addition of polygenic risk scores and protein proteomic risk scores; Shapley Additive Explanations-guided forward selection identified a compact protein panel. RESULTS: Across cohorts, the median age was 58 years and ∼45% were men. Protein proteomic risk score was dose-dependently associated with CAD risk. Compared with conventional risk factors alone, integrating polygenic risk scores and protein proteomic risk scores improved discrimination, with the area under the curve increasing from 0.750 (95% CI, 0.732-0.767) to 0.789 (95% CI, 0.772-0.805) in internal validation and from 0.717 (95% CI, 0.683-0.750) to 0.762 (95% CI, 0.732-0.791) in external validation. A 9-protein panel (GDF15 [growth differentiation factor 15], MMP12 [matrix metalloproteinase 12], NPPB [natriuretic peptide B], PGF [placental growth factor], REN [renin], ADGRG2 [adhesion G-protein coupled receptor], ACE2 [angiotensin-converting enzyme 2], CDCP1 [CUB domain-containing protein 1], CXCL17 [C-X-C motif chemokine ligand 17)]) captured most proteomic predictive information. CONCLUSIONS: Our findings demonstrate that integrating conventional risk factors, polygenic risk scores, and proteomic data improves CAD risk prediction. This study highlights the utility of proteomics in precision cardiovascular medicine and simplified risk stratification tools.

Humans

Potential Involvement of the IL-6/STAT3/MMP12 Signaling Axis in DMSO-Mediated Anti-Fibrotic Effects in Experimental Silicosis.

This study aims to investigate the anti-inflammatory and anti-fibrotic effects of dimethyl sulfoxide (DMSO) in a mouse model of silicosis, thereby exploring its potential therapeutic value. A mouse model of silicosis was established by intranasal instillation, and DMSO treatment was administered via intraperitoneal injection. The experiment was conducted over a period of 1 month. Lung tissues were collected from all mice; a subset was subjected to transcriptomic analysis, and differentially expressed genes were identified using the limma package. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses were conducted using ClusterProfiler to investigate gene functions and associated pathways. The remaining samples were subjected to histopathological assessment by hematoxylin and eosin staining (HE) and Masson's trichrome staining, while Western blot analysis was performed to validate transcriptomic results. This study suggests that DMSO may alleviate the fibrotic process in silicosis by modulating the IL-6/STAT3-MMP12 signaling axis. In the silica-induced silicosis mouse model, DMSO attenuated disease-associated weight loss and reduced collagen deposition. Transcriptomic analysis indicated that DMSO suppressed the activity of multiple fibrosis-related pathways and identified 51 key genes, including MMP12, which was significantly downregulated. Western blot analysis further confirmed reduced MMP12 expression, accompanied by markedly decreased levels of IL-6 and p-STAT3, suggesting the IL-6/STAT3 pathway may play a crucial role in regulating MMP12 expression. DMSO may attenuate inflammatory responses and pulmonary fibrosis in silicosis by inhibiting activation of the IL-6/STAT3 signaling pathway, thereby reducing MMP12 expression.

Animals