The Personal Human Oral Microbiome Obscures the Effects of Treatment on Periodontal Disease

Schwarzberg, Karen; Le, Rosalin; Bharti, Balambal; Lindsay, Suzanne; Casaburi, Giorgio; Salvatore, Francesco; Saber, Mohamed H.; Alonaizan, Faisal; Slots, Jørgen; Gottlieb, Roberta A.; Caporaso, J. Gregory; Kelley, Scott T.

doi:10.1371/journal.pone.0086708

The Personal Human Oral Microbiome Obscures the Effects of Treatment on Periodontal Disease

Journal Article · Tue Jan 28 23:00:00 EST 2014 · PLoS ONE

DOI:https://doi.org/10.1371/journal.pone.0086708· OSTI ID:1627675

Schwarzberg, Karen ^[1]; Le, Rosalin ^[2]; Bharti, Balambal ^[2]; Lindsay, Suzanne ^[2]; Casaburi, Giorgio ^[3]; Salvatore, Francesco ^[3]; Saber, Mohamed H. ^[4]; Alonaizan, Faisal ^[4]; Slots, Jørgen ^[4]; Gottlieb, Roberta A. ^[2]; Caporaso, J. Gregory ^[5]; Kelley, Scott T. ^[2]

San Diego State University, CA (United States); DOE/OSTI
San Diego State University, CA (United States)
CEINGE-Biotecnologie Avanzate, Napoli (Italy); Universita di Napoli Federico II, Napoli (Italy)
University of California, Los Angeles, CA (United States)
Northern Arizona University, Flagstaff, AZ (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)

Periodontitis is a progressive disease of the periodontium with a complex, polymicrobial etiology. Recent Next-Generation Sequencing (NGS) studies of the microbial diversity associated with periodontitis have revealed strong, community-level differences in bacterial assemblages associated with healthy or diseased periodontal sites. In this study, we used NGS approaches to characterize changes in periodontal pocket bacterial diversity after standard periodontal treatment. Despite consistent changes in the abundance of certain taxa in individuals whose condition improved with treatment, posttreatment samples retained the highest similarity to pre-treatment samples from the same individual. Deeper phylogenetic analysis of periodontal pathogen-containing genera Prevotella and Fusobacterium found both unexpected diversity and differential treatment response among species. Our results highlight how understanding interpersonal variability among microbiomes is necessary for determining how polymicrobial diseases respond to treatment and disturbance.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Institutes of Health (NIH); Native American Research Centers for Health (NARCH5)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1627675

Journal Information:: PLoS ONE, Journal Name: PLoS ONE Journal Issue: 1 Vol. 9; ISSN 1932-6203

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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