REPLY

We thank Dr. Kenyon for his careful reading of our paper (1, 2). First, he speculated that the differences in relative abundance of the 13 most common taxa between European-Americans (EAs) and African-Americans (AAs) may be due to inadequate control of covariates. Then, he expressed concerns on the measurement of periodontal health. At last, he conjectured that the higher prevalence of four periodontal bacteria among AAs than EAs may be due to the fact that dental caries was more common in AAs and populations with lower income and poorer education (35).
To address his first remark, we investigated the associations between the common taxa and ancestry, stratified by age (40 to 60 years and 60 to 80 years), gender (female and male), annual household income (<$15,000 and ≥$15,000), education (<high school and ≥high school), smoking (current smoker and non-current smoker), and tooth loss (none and any), respectively. Consistent with the statistical methods described in our paper, centered log-ratio (clr) transformation was used to normalize taxon read counts and the associations of ancestry with clr-transformed taxon abundance were evaluated using linear regression analyses. When stratified by one covariate, all other covariates were adjusted in regression models (1). In all these stratified analyses, the majority of the 13 common taxa were associated with ancestry within each stratum (P < 0.05) and the association directions are consistent between the two strata for each covariate (Table 1). These results suggest that the differential abundance for these common taxa between AAs and EAs is less likely due to the inadequate adjustment of these covariates. Regarding the oral health measurement, we indeed acknowledged this limitation in the original publication, namely, lacking a comprehensive oral health assessment at the baseline examination during the enrollment (1). Finally, to determine whether the higher prevalence of the four periodontal bacteria among AAs than EAs was affected by socioeconomic differences between the two groups, we conducted association analyses of ancestry with prevalence of these four bacteria, stratified by income (<$15,000 and ≥$15,000), education (<high school and ≥high school), and tooth loss (none and any), respectively. Consistent with the methods described in our paper, for each bacterium, individuals were categorized into carriers and noncarriers according to whether they carried the taxon or not. The associations of ancestry with bacterium prevalence were evaluated using logistic regression analyses. Consistent with the stratified analyses for the common taxa, when stratified by one covariate, all other covariates were adjusted in regression models. As shown in Table 2, all four periodontal bacteria showed consistent association with ancestry (P < 0.05) in both strata for each variable. These results suggest that the difference of prevalence of these four periodontal bacteria between AAs and EAs was less likely attributable to the differences in income, education, and tooth loss between the two groups.
TABLE 1
TABLE 1 Associations of ancestry with abundance of 13 common taxa, stratified by age, gender, income, education, smoking, and tooth lossa
TaxonGroupAgeGenderIncomeEducationSmokingTooth loss
CoefficientP valueCoefficientP valueCoefficientP valueCoefficientP valueCoefficientP valueCoefficientP value
Phylum ActinobacteriaOverall−0.445.92 × 10−12−0.376.38 × 10−9−0.372.49 × 10−9−0.445.92 × 10−12−0.446.88 × 10−12−0.381.95 × 10−9
 1−0.323.68 × 10−5−0.265.26 × 10−3−0.516.58 × 10−7−0.586.10 × 10−5−0.627.35 × 10−9−0.538.40 × 10−8
 2−0.482.57 × 10−5−0.536.05 × 10−9−0.242.12 × 10−3−0.401.63 × 10−8−0.301.43 × 10−4−0.271.90 × 10−3
    Family MicrococcaceaeOverall−0.476.58 × 10−10−0.401.93 × 10−7−0.391.75 × 10−7−0.476.58 × 10−10−0.478.30 × 10−10−0.411.39 × 10−7
 1−0.385.81 × 10−5−0.250.02−0.573.33 × 10−6−0.513.62 × 10−3−0.663.49 × 10−7−0.553.81 × 10−6
 2−0.484.18 × 10−4−0.621.90 × 10−8−0.220.02−0.473.84 × 10−8−0.352.57 × 10−4−0.304.04 × 10−3
    Genus RothiaOverall−0.493.66 × 10−10−0.411.28 × 10−7−0.401.06 × 10−7−0.493.66 × 10−10−0.494.54 × 10−10−0.421.04 × 10−7
 1−0.403.85 × 10−5−0.270.02−0.583.92 × 10−6−0.513.65 × 10−3−0.673.70 × 10−7−0.572.54 × 10−6
 2−0.484.00 × 10−4−0.631.61 × 10−8−0.240.01−0.491.93 × 10−8−0.371.63 × 10−4−0.303.90 × 10−3
    Species Rothia mucilaginosaOverall−0.484.97 × 10−9−0.401.02 × 10−6−0.381.85 × 10−6−0.484.97 × 10−9−0.486.11 × 10−9−0.401.02 × 10−6
 1−0.441.55 × 10−5−0.260.03−0.588.18 × 10−6−0.506.76 × 10−3−0.695.40 × 10−7−0.542.20 × 10−5
 2−0.350.02−0.637.99 × 10−8−0.210.04−0.491.07 × 10−7−0.357.85 × 10−4−0.307.22 × 10−3
 
Phylum Bacteroidetes             
    Family PorphyromonadaceaeOverall0.457.92 × 10−50.371.34 × 10−30.412.25 × 10−40.457.92 × 10−50.457.95 × 10−50.432.25 × 10−4
 10.200.130.420.020.450.010.540.040.589.67 × 10−40.531.54 × 10−3
 20.722.82 × 10−30.370.020.398.55 × 10−30.437.31 × 10−40.380.010.370.02
    Genus PorphyromonasOverall0.441.92 × 10−40.362.64 × 10−30.405.24 × 10−40.441.92 × 10−40.441.92 × 10−40.424.67 × 10−4
 10.180.180.390.030.450.020.510.060.562.33 × 10−30.503.71 × 10−3
 20.714.13 × 10−30.380.020.390.010.431.34 × 10−30.380.020.380.03
    Species Prevotella denticolaOverall0.581.68 × 10−60.471.08 × 10−40.545.73 × 10−60.581.68 × 10−60.581.90 × 10−60.531.90 × 10−5
 10.300.040.544.33 × 10−30.711.41 × 10−40.881.40 × 10−30.786.63 × 10−50.662.31 × 10−4
 20.931.05 × 10−40.475.61 × 10−30.370.020.531.26 × 10−40.455.30 × 10−30.400.02
 
Phylum Firmicutes             
    Family CarnobacteriaceaeOverall−0.237.75 × 10−4−0.231.08 × 10−3−0.279.22 × 10−5−0.237.75 × 10−4−0.237.78 × 10−4−0.221.51 × 10−3
 1−0.281.00 × 10−3−0.240.02−0.080.43−0.150.32−0.210.05−0.322.28 × 10−3
 2−0.120.34−0.276.62 × 10−3−0.307.46 × 10−4−0.266.96 × 10−4−0.281.81 × 10−3−0.150.11
    Genus GranulicatellaOverall−0.245.51 × 10−4−0.248.09 × 10−4−0.287.09 × 10−5−0.245.51 × 10−4−0.245.52 × 10−4−0.231.28 × 10−3
 1−0.306.39 × 10−4−0.260.01−0.090.44−0.160.31−0.220.05−0.331.87 × 10−3
 2−0.120.34−0.286.20 × 10−3−0.325.39 × 10−4−0.274.79 × 10−4−0.301.30 × 10−3−0.160.09
    Species Granulicatella adiacensOverall−0.254.60 × 10−4−0.249.07 × 10−4−0.288.45 × 10−5−0.254.60 × 10−4−0.254.60 × 10−4−0.231.48 × 10−3
 1−0.315.37 × 10−4−0.260.01−0.080.48−0.160.32−0.240.04−0.341.81 × 10−3
 2−0.110.40−0.286.29 × 10−3−0.325.25 × 10−4−0.283.58 × 10−4−0.301.23 × 10−3−0.160.10
    Species Streptococcus
oligofermentans
Overall−0.374.73 × 10−5−0.422.48 × 10−6−0.526.61 × 10−9−0.374.73 × 10−5−0.376.46 × 10−5−0.423.71 × 10−6
 1−0.462.99 × 10−5−0.663.68 × 10−6−0.360.010.120.57−0.320.02−0.422.98 × 10−3
 2−0.380.02−0.230.06−0.511.64 × 10−5−0.482.33 × 10−6−0.417.70 × 10−4−0.382.05 × 10−3
    Species Streptococcus sp. oral
taxon 057
Overall−0.223.84 × 10−5−0.171.07 × 10−3−0.184.29 × 10−4−0.223.84 × 10−5−0.224.02 × 10−5−0.181.02 × 10−3
 1−0.140.04−0.140.08−0.243.63 × 10−3−0.270.02−0.382.67 × 10−5−0.271.32 × 10−3
 2−0.256.56 × 10−3−0.241.36 × 10−3−0.100.14−0.222.30 × 10−4−0.090.19−0.100.16
    Family PeptostreptococcaceaeOverall0.458.46 × 10−70.382.93 × 10−50.422.75 × 10−60.458.46 × 10−70.458.43 × 10−70.434.94 × 10−6
 10.250.020.395.61 × 10−30.612.69 × 10−50.681.26 × 10−30.632.89 × 10−50.662.16 × 10−6
 20.742.29 × 10−50.428.56 × 10−40.260.030.381.88 × 10−40.362.55 × 10−30.300.02
a
For each sample, centered log-ratio transformation was used to normalize taxon read counts. The associations of taxon abundance with ancestry were evaluated using linear regression analyses.
TABLE 2
TABLE 2 Associations of ancestry with abundance of four periodontal bacteria, stratified by income, education, and tooth lossa
Oral pathogenGroupIncomeEducationTooth loss
CoefficientP valueCoefficientP valueCoefficientP value
Porphyromonas gingivalisOverall0.854.53 × 10−100.757.37 × 10−80.772.91 × 10−8
 10.616.39 × 10−31.251.28 × 10−40.895.72 × 10−5
 20.943.68 × 10−70.654.47 × 10−50.637.37 × 10−4
    
Prevotella intermediaOverall0.871.73 × 10−90.796.30 × 10−80.821.43 × 10−8
 11.055.81 × 10−61.365.56 × 10−50.891.56 × 10−4
 20.666.46 × 10−40.631.50 × 10−40.741.14 × 10−4
    
Filifactor alocisOverall0.783.35 × 10−90.676.32 × 10−70.701.20 × 10−7
 10.681.14 × 10−31.011.10 × 10−30.862.81 × 10−5
 20.809.35 × 10−60.625.92 × 10−50.601.15 × 10−3
    
Treponema denticolaOverall0.651.09 × 10−60.591.52 × 10−50.614.19 × 10−6
 10.839.52 × 10−51.048.24 × 10−40.801.07 × 10−4
 20.410.020.537.35 × 10−40.479.88 × 10−3
a
For each taxon, individuals were categorized into carriers and noncarriers according to whether they carried the taxon or not. The associations of taxon prevalence with ancestry were evaluated using logistic regression analyses.
We applaud Dr. Kenyon for pondering the potential inadequate adjustment of covariates and raising the possibility that the different prevalence of the four periodontal bacteria between the two groups may be due to differences in oral health and socioeconomic status. However, as elucidated by analyses, these results are unlikely to be due to these potential biases.

ACKNOWLEDGMENT

We declare no conflicts of interest.

Footnote

This is a response to a letter by Kenyon (https://doi.org/10.1128/mSystems.00836-19).

REFERENCES

1.
Yang Y, Zheng W, Cai Q, Shrubsole MJ, Pei Z, Brucker R, Steinwandel M, Bordenstein SR, Li Z, Blot WJ, Shu X-O, Long J. 2019. Racial differences in the oral microbiome: data from low-income populations of African ancestry and European ancestry. mSystems 4:e00639-19.
2.
Kenyon C. 2020. Are differences in the oral microbiome due to ancestry or socioeconomics? mSystems 5:e00836-19.
3.
Eke PI, Dye BA, Wei L, Slade GD, Thornton-Evans GO, Borgnakke WS, Taylor GW, Page RC, Beck JD, Genco RJ. 2015. Update on prevalence of periodontitis in adults in the United States: NHANES 2009 to 2012. J Periodontol 86:611–622.
4.
Dye BA, Thornton-Evans G, Li X, Iafolla T. 2015. Dental caries and tooth loss in adults in the United States, 2011–2012. Centers for Disease Control and Prevention, US Department of Health and Human Services, Atlanta, GA.
5.
Dye BA, Weatherspoon DJ, Mitnik GL. 2019. Tooth loss among older adults according to poverty status in the United States from 1999 through 2004 and 2009 through 2014. J Am Dent Assoc 150:9–23.e3.

Information & Contributors

Information

Published In

cover image mSystems
mSystems
Volume 5Number 228 April 2020
eLocator: 10.1128/msystems.00891-19

History

Published online: 10 March 2020

Keywords

  1. host-microbial interaction
  2. oral microbiome

Contributors

Authors

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Wei Zheng
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Qiuyin Cai
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Martha J. Shrubsole
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Zhiheng Pei
Department of Pathology, New York University School of Medicine, New York, New York, USA
Rowland Institute, Harvard University, Cambridge, Massachusetts, USA
Mark Steinwandel
International Epidemiology Field Station, Vanderbilt University Medical Center, Rockville, Maryland, USA
Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, Tennessee, USA
Zhigang Li
Department of Biostatistics, University of Florida, Gainesville, Florida, USA
William J. Blot
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Xiao-Ou Shu
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Jirong Long
Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA

Notes

Address correspondence to Jirong Long, [email protected].

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