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Study of cardiovascular disease biomarkers among tobacco consumers, part 2: biomarkers of biological effect.

Nordskog BK, Brown BG, Marano KM, Campell LR, Jones BA, Borgerding MF - Inhal Toxicol (2015)

Bottom Line: Approximately one-half of the measured serum BoBE showed statistically significant differences; IL-12(p70), sICAM-1 and IL-8 were the BoBE that best differentiated among the three groups.A significant difference in ABI was observed between the cigarette smokers and non-tobacco consumer groups.Significant group and age effect differences in select biomarkers were identified.

View Article: PubMed Central - PubMed

Affiliation: R.J. Reynolds Tobacco Company , Winston-Salem, NC 27102 , USA and.

ABSTRACT
An age-stratified, cross-sectional study was conducted in the US among healthy adult male cigarette smokers, moist snuff consumers, and non-tobacco consumers to evaluate cardiovascular biomarkers of biological effect (BoBE). Physiological assessments included flow-mediated dilation, ankle-brachial index, carotid intima-media thickness and expired carbon monoxide. Approximately one-half of the measured serum BoBE showed statistically significant differences; IL-12(p70), sICAM-1 and IL-8 were the BoBE that best differentiated among the three groups. A significant difference in ABI was observed between the cigarette smokers and non-tobacco consumer groups. Significant group and age effect differences in select biomarkers were identified.

No MeSH data available.


Related in: MedlinePlus

PCA. The case-wise scores of the top two principal components were plotted onto proximity maps. The top candidate analytes for BoBE that best differentiated the three study groups in this study were IL-12p70, ICAM-1 and IL-8. The concept of differentiation, or separation, in this analysis means that these biomarkers correlate and vary in such a way that identifies SMK from non-smokers (NTC and MSC) at the individual level, as opposed to an aggregate or mean level. (A) The top three biomarkers plotted for all three groups, showing a moderate separation for SMK and little separation of MSC and NTC overall. (B) A clearer separation of SMK to NTC with few individual exceptions. (C) Comparatively greater amount of overlap between SMK and MSC, while in (D), no separation is observed between MSC and NTC.
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Figure 0001: PCA. The case-wise scores of the top two principal components were plotted onto proximity maps. The top candidate analytes for BoBE that best differentiated the three study groups in this study were IL-12p70, ICAM-1 and IL-8. The concept of differentiation, or separation, in this analysis means that these biomarkers correlate and vary in such a way that identifies SMK from non-smokers (NTC and MSC) at the individual level, as opposed to an aggregate or mean level. (A) The top three biomarkers plotted for all three groups, showing a moderate separation for SMK and little separation of MSC and NTC overall. (B) A clearer separation of SMK to NTC with few individual exceptions. (C) Comparatively greater amount of overlap between SMK and MSC, while in (D), no separation is observed between MSC and NTC.

Mentions: In order to determine how well individual members of each group could be differentiated based on the values from identified analytes, a PCA was performed on analytes that showed a significance group effect in the ANOVA. Analytes were sequentially removed from the PCA model if the resulting verification plot of case-wise scores showed poor separation of the groups. The components for BoBE that best differentiated the three groups in this study were IL-12p70, sICAM-1 and IL-8. The case-wise scores of these components are shown in Figure 1. Samples with the most similar overall pattern of analyte levels are located near each other, while samples with different patterns are farther apart. Figure 1(A) shows these top three analyte components plotted for all groups. Figures 1(B–D) represent each of the three group comparisons. Panels displaying SMK and NTC together (Figure 1B) as well as SMK and MSC (Figure 1C) resulted in group-specific clustering, whereas no separation was observed between the MSC and NTC (Figure 1D).Figure 1.


Study of cardiovascular disease biomarkers among tobacco consumers, part 2: biomarkers of biological effect.

Nordskog BK, Brown BG, Marano KM, Campell LR, Jones BA, Borgerding MF - Inhal Toxicol (2015)

PCA. The case-wise scores of the top two principal components were plotted onto proximity maps. The top candidate analytes for BoBE that best differentiated the three study groups in this study were IL-12p70, ICAM-1 and IL-8. The concept of differentiation, or separation, in this analysis means that these biomarkers correlate and vary in such a way that identifies SMK from non-smokers (NTC and MSC) at the individual level, as opposed to an aggregate or mean level. (A) The top three biomarkers plotted for all three groups, showing a moderate separation for SMK and little separation of MSC and NTC overall. (B) A clearer separation of SMK to NTC with few individual exceptions. (C) Comparatively greater amount of overlap between SMK and MSC, while in (D), no separation is observed between MSC and NTC.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4496813&req=5

Figure 0001: PCA. The case-wise scores of the top two principal components were plotted onto proximity maps. The top candidate analytes for BoBE that best differentiated the three study groups in this study were IL-12p70, ICAM-1 and IL-8. The concept of differentiation, or separation, in this analysis means that these biomarkers correlate and vary in such a way that identifies SMK from non-smokers (NTC and MSC) at the individual level, as opposed to an aggregate or mean level. (A) The top three biomarkers plotted for all three groups, showing a moderate separation for SMK and little separation of MSC and NTC overall. (B) A clearer separation of SMK to NTC with few individual exceptions. (C) Comparatively greater amount of overlap between SMK and MSC, while in (D), no separation is observed between MSC and NTC.
Mentions: In order to determine how well individual members of each group could be differentiated based on the values from identified analytes, a PCA was performed on analytes that showed a significance group effect in the ANOVA. Analytes were sequentially removed from the PCA model if the resulting verification plot of case-wise scores showed poor separation of the groups. The components for BoBE that best differentiated the three groups in this study were IL-12p70, sICAM-1 and IL-8. The case-wise scores of these components are shown in Figure 1. Samples with the most similar overall pattern of analyte levels are located near each other, while samples with different patterns are farther apart. Figure 1(A) shows these top three analyte components plotted for all groups. Figures 1(B–D) represent each of the three group comparisons. Panels displaying SMK and NTC together (Figure 1B) as well as SMK and MSC (Figure 1C) resulted in group-specific clustering, whereas no separation was observed between the MSC and NTC (Figure 1D).Figure 1.

Bottom Line: Approximately one-half of the measured serum BoBE showed statistically significant differences; IL-12(p70), sICAM-1 and IL-8 were the BoBE that best differentiated among the three groups.A significant difference in ABI was observed between the cigarette smokers and non-tobacco consumer groups.Significant group and age effect differences in select biomarkers were identified.

View Article: PubMed Central - PubMed

Affiliation: R.J. Reynolds Tobacco Company , Winston-Salem, NC 27102 , USA and.

ABSTRACT
An age-stratified, cross-sectional study was conducted in the US among healthy adult male cigarette smokers, moist snuff consumers, and non-tobacco consumers to evaluate cardiovascular biomarkers of biological effect (BoBE). Physiological assessments included flow-mediated dilation, ankle-brachial index, carotid intima-media thickness and expired carbon monoxide. Approximately one-half of the measured serum BoBE showed statistically significant differences; IL-12(p70), sICAM-1 and IL-8 were the BoBE that best differentiated among the three groups. A significant difference in ABI was observed between the cigarette smokers and non-tobacco consumer groups. Significant group and age effect differences in select biomarkers were identified.

No MeSH data available.


Related in: MedlinePlus