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Quorum-sensing dysbiotic shifts in the HIV-infected oral metabiome.

Brown RE, Ghannoum MA, Mukherjee PK, Gillevet PM, Sikaroodi M - PLoS ONE (2015)

Bottom Line: We implemented a Systems Biology approach using Correlation Difference Probability Network (CDPN) analysis to provide insights into the statistically significant functional differences between HIV-infected patients and uninfected individuals.CDPN highlights the taxa-metabolite-taxa differences between the cohorts that frequently capture quorum-sensing modifications that reflect communication disruptions in the dysbiotic HIV cohort.The results also highlight the significant role of cyclic mono and dipeptides as quorum-sensing (QS) mediators between oral bacteria and fungal genus.

View Article: PubMed Central - PubMed

Affiliation: School of Systems Biology, George Mason University, Prince William County, Fairfax, VA, United States of America.

ABSTRACT
We implemented a Systems Biology approach using Correlation Difference Probability Network (CDPN) analysis to provide insights into the statistically significant functional differences between HIV-infected patients and uninfected individuals. The analysis correlates bacterial microbiome ("bacteriome"), fungal microbiome ("mycobiome"), and metabolome data to model the underlying biological processes comprising the Human Oral Metabiome. CDPN highlights the taxa-metabolite-taxa differences between the cohorts that frequently capture quorum-sensing modifications that reflect communication disruptions in the dysbiotic HIV cohort. The results also highlight the significant role of cyclic mono and dipeptides as quorum-sensing (QS) mediators between oral bacteria and fungal genus. The developed CDPN approach allowed us to model the interactions of taxa and key metabolites, and hypothesize their possible contribution to the etiology of Oral Candidiasis (OC).

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The Correlation Difference Probability Network (CDPN).Represents the significant Correlation Difference Probability Network for all Control vs. HIV cohort feature pair correlations (p<0.05). Fig 4 is the entire network. The position of node and edge length or not significant. Green edges indicate the Control Correlation was positive and the HIV cohort correlation was negative or very weakly positive. The red edges indicate the HIV cohort correlation was positive and the Control cohort correlation was negative or very weakly positive.
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pone.0123880.g004: The Correlation Difference Probability Network (CDPN).Represents the significant Correlation Difference Probability Network for all Control vs. HIV cohort feature pair correlations (p<0.05). Fig 4 is the entire network. The position of node and edge length or not significant. Green edges indicate the Control Correlation was positive and the HIV cohort correlation was negative or very weakly positive. The red edges indicate the HIV cohort correlation was positive and the Control cohort correlation was negative or very weakly positive.

Mentions: The Correlation Difference Probability Network (CDPN) in Fig 4 represents the significant difference network of Control and HIV correlations between pairs of features. The edge (link) color indicates the HIV correlation value for pair A-B was significantly different p<0.05, versus the correlation from the same Control A-B relationship. Typically, the significant difference probability pairing involves one cohort with a usually relatively large positive, or a rare large negative correlation, and the other cohort having only a weak positive, negative, or no correlation. S4 Table is the CDPN feature pair listing corresponding to Fig 4 and supporting raw data is in S2 Table.


Quorum-sensing dysbiotic shifts in the HIV-infected oral metabiome.

Brown RE, Ghannoum MA, Mukherjee PK, Gillevet PM, Sikaroodi M - PLoS ONE (2015)

The Correlation Difference Probability Network (CDPN).Represents the significant Correlation Difference Probability Network for all Control vs. HIV cohort feature pair correlations (p<0.05). Fig 4 is the entire network. The position of node and edge length or not significant. Green edges indicate the Control Correlation was positive and the HIV cohort correlation was negative or very weakly positive. The red edges indicate the HIV cohort correlation was positive and the Control cohort correlation was negative or very weakly positive.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4401692&req=5

pone.0123880.g004: The Correlation Difference Probability Network (CDPN).Represents the significant Correlation Difference Probability Network for all Control vs. HIV cohort feature pair correlations (p<0.05). Fig 4 is the entire network. The position of node and edge length or not significant. Green edges indicate the Control Correlation was positive and the HIV cohort correlation was negative or very weakly positive. The red edges indicate the HIV cohort correlation was positive and the Control cohort correlation was negative or very weakly positive.
Mentions: The Correlation Difference Probability Network (CDPN) in Fig 4 represents the significant difference network of Control and HIV correlations between pairs of features. The edge (link) color indicates the HIV correlation value for pair A-B was significantly different p<0.05, versus the correlation from the same Control A-B relationship. Typically, the significant difference probability pairing involves one cohort with a usually relatively large positive, or a rare large negative correlation, and the other cohort having only a weak positive, negative, or no correlation. S4 Table is the CDPN feature pair listing corresponding to Fig 4 and supporting raw data is in S2 Table.

Bottom Line: We implemented a Systems Biology approach using Correlation Difference Probability Network (CDPN) analysis to provide insights into the statistically significant functional differences between HIV-infected patients and uninfected individuals.CDPN highlights the taxa-metabolite-taxa differences between the cohorts that frequently capture quorum-sensing modifications that reflect communication disruptions in the dysbiotic HIV cohort.The results also highlight the significant role of cyclic mono and dipeptides as quorum-sensing (QS) mediators between oral bacteria and fungal genus.

View Article: PubMed Central - PubMed

Affiliation: School of Systems Biology, George Mason University, Prince William County, Fairfax, VA, United States of America.

ABSTRACT
We implemented a Systems Biology approach using Correlation Difference Probability Network (CDPN) analysis to provide insights into the statistically significant functional differences between HIV-infected patients and uninfected individuals. The analysis correlates bacterial microbiome ("bacteriome"), fungal microbiome ("mycobiome"), and metabolome data to model the underlying biological processes comprising the Human Oral Metabiome. CDPN highlights the taxa-metabolite-taxa differences between the cohorts that frequently capture quorum-sensing modifications that reflect communication disruptions in the dysbiotic HIV cohort. The results also highlight the significant role of cyclic mono and dipeptides as quorum-sensing (QS) mediators between oral bacteria and fungal genus. The developed CDPN approach allowed us to model the interactions of taxa and key metabolites, and hypothesize their possible contribution to the etiology of Oral Candidiasis (OC).

Show MeSH
Related in: MedlinePlus