ArticleMolecular biology reports2015
Distinctive pathways characterize A. actinomycetemcomitans and P. gingivalis.
Article in Molecular biology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
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- A Network Pharmacology and Molecular Docking Strategy to Explore Potential Targets and Mechanisms Underlying the Effect of Curcumin on Osteonecrosis of the Femoral Head in Systemic Lupus Erythematosus.BioMed research international · 2021Article
- Remarkable Homeostasis of Protein Sialylation in Skeletal Muscles of Hibernating Daurian Ground Squirrels (Frontiers in physiology · 2020Article
Corrections and comments
- Retraction · 2015-08-18Compromised Peer Review · Investigation by Journal/Publisher ·
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aimed to compare the molecular mechanism of Porphuromonas gingivalis (P. gingivalis) and Aggregatibacter actinomycetemcomitans (A. actinomycetemcomitans). With microarray dataset (GSE9723) from Gene Expression Omnibus, differentially expressed genes (DEGs) were identified comparing normal cell samples with A. actinomycetemcomitans-infected and P. gingivalis-infected periodontitis cell samples, respectively (|logFC| > 1, p value <0.01), followed by hierarchical cluster analysis using Cluster software. Network topological features of A. actinomycetemcomitans-related and P. gingivalis-related protein-protein interaction networks, and background network, which included average shortest path length (ASPL), degree, closeness centrality (CC), eccentricity (EC), betweenness centrality (BC) and topological coefficient (TC) were compared using network analysis plugin of Cytoscape, followed by pathway enrichment analysis (p value <0.05) using FISHER hyper-geometric algorithm and calculation of pathway alter scores using LIMMA. Totally, 839 DEGs and 251 DEGs were screened for A. actinomycetemcomitans and P. gingivalis, respectively. A. actinomycetemcomitans-related network had lower ASPL, degree and EC but higher CC and TC (p < 0.01), while P. gingivalis-related network had lower EC but higher CC and BC (p < 0.01) compared to background network. P. gingivalis-related network had lower ASPL, degree and EC, but higher CC than the A. actinomycetemcomitans-related network (p < 0.05). A. actinomycetemcomitans was associated with the pathways relating to endothelial cells function, while neuroactive ligand-receptor interaction and MAPK pathways were important for P. gingivalis, which had higher alter scores in hematopoietic cell lineage, hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy pathways than A. actinomycetemcomitans. Genes and pathways of the two pathogens were distinctive. The findings aided in preventing and treating relevant diseases.
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Registered trials
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