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Metatranscriptomics of the Human Oral Microbiome during Health and Disease
Open accessAbstract
The human microbiome plays important roles in health, but when disrupted, these same indigenous microbes can cause disease. The composition of the microbiome changes during the transition from health to disease; however, these changes are often not conserved among patients. Since microbiome-associated diseases like periodontitis cause similar patient symptoms despite interpatient variability in microbial community composition, we hypothesized that human-associated microbial communities undergo conserved changes in metabolism during disease. Here, we used patient-matched healthy and diseased samples to compare gene expression of 160,000 genes in healthy and diseased periodontal communities. We show that health- and disease-associated communities exhibit defined differences in metabolism that are conserved between patients. In contrast, the metabolic gene expression of individual species was highly variable between patients. These results demonstrate that despite high interpatient variability in microbial composition, disease-associated communities display conserved metabolic profiles that are generally accomplished by a patient-specific cohort of microbes. IMPORTANCE The human microbiome project has shown that shifts in our microbiota are associated with many diseases, including obesity, Crohn’s disease, diabetes, and periodontitis. While changes in microbial populations are apparent during these diseases, the species associated with each disease can vary from patient to patient. Taking into account this interpatient variability, we hypothesized that specific microbiota-associated diseases would be marked by conserved microbial community behaviors. Here, we use gene expression analyses of patient-matched healthy and diseased human periodontal plaque to show that microbial communities have highly conserved metabolic gene expression profiles, whereas individual species within the community do not. Furthermore, disease-associated communities exhibit conserved changes in metabolic and virulence gene expression.
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“Culture‐independent methods have improved our understanding of microbial diversity in the oral cavity.”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [14]
In the citing paper
“Application of transcriptomic approaches has proved extremely significant for delineating both microbial and host gene expression in the context of oral health and pathology.14, 68, 94”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [14]
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“However, despite dissimilar phylogeny, functional signatures among the oral microbiota are often conserved from one individual to another.13, 14”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [14]
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Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Interactions Between the Microbiota and the Immune System
Hooper, L. V., Littman, D. R., & Macpherson, A. J. (2012) · Science · doi:10.1126/science.1223490 · Cited by 4,173
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 386
Defining functional signatures of dysbiosis in periodontitis progression
Wang, G. P. (2015) · Genome Medicine · doi:10.1186/s13073-015-0165-z · Cited by 73
“[9] makes it difficult to determine whether the changes in microbiome composition and metabolic function observed are a cause or a consequence of disease.”
Complement Involvement in Periodontitis: Molecular Mechanisms and Rational Therapeutic Approaches
Hajishengallis, G., Maekawa, T., Abe, T., Hajishengallis, E., & Lambris, J. D. (2015) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-18603-0_4 · Cited by 73
Jorth, P. A., Ehsan, Z., Rezayat, A., Caldwell, E., Pope, C. E., Brewington, J. J., Goss, C. H., Benscoter, D. T., Clancy, J. P., & Singh, P. K. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.086 · Cited by 73
Self-citationOral care product formulations, properties and challenges
Aspinall, S. R., Parker, J. K., & Khutoryanskiy, V. V. (2021) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2021.111567 · Cited by 70
“Although most of the bacteria present pose no risk to the surrounding mucosal surfaces or the mineral rich teeth, some species have been linked to systemic diseases such as aspiration pneumonia, cardiovascular disease, some types of cancers and diseases of the oral cavity such as oral thrush, dental caries and gingivi…”
BackgroundDid Omics change periodontal therapy?
Feres, M., Retamal‐Valdes, B., Gonçalves, C., Figueiredo, L. C., & Teles, F. (2020) · Periodontology 2000 · doi:10.1111/prd.12358 · Cited by 67
The environmental genomics of metazoan thermal adaptation
Porcelli, D., Butlin, R. K., Gaston, K. J., Joly, D., & Snook, R. R. (2015) · Heredity · doi:10.1038/hdy.2014.119 · Cited by 68
“Gene expression profiling RNA-based NGS technologies, especially short-read deep sequencing, are revolutionising approaches to gene expression studies, from a single cell (Deng et al., 2014) to non-model species or community metatranscriptomics (Jorth et al., 2014).”
BackgroundMethodPeriodontitis and diabetes mellitus co-morbidity: A molecular dialogue
Luong, A., Tawfik, A. N., Islamoglu, H., Gobriel, H. S., Ali, N. M., Ansari, P., Shah, R., Hung, T., Patel, T., Henson, B. S., et al. (2021) · Journal of Oral Biosciences · doi:10.1016/j.job.2021.10.006 · Cited by 66
Dual lifestyle of Porphyromonas gingivalis in biofilm and gingival cells
Sakanaka, A., Takeuchi, H., Kuboniwa, M., & Amano, A. (2015) · Microbial Pathogenesis · doi:10.1016/j.micpath.2015.10.003 · Cited by 66
The Oral Microbiome Bank of China
Xian, P., Zhou, X., Xu, X., Yuqing, L., Li, Y., Li, J., Su, X., Huang, S., Xu, J., & Liao, G. (2018) · International Journal of Oral Science · doi:10.1038/s41368-018-0018-x · Cited by 65
Placental colonization with periodontal pathogens: the potential missing link
Fischer, L. A., Demerath, E. W., Bittner‐Eddy, P. D., & Costalonga, M. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.04.029 · Cited by 73
Xia, Y., Wang, Y.-B., Fang, H. H. P., Jin, T., Zhong, H., & Zhang, T. (2014) · Scientific Reports · doi:10.1038/srep06708 · Cited by 68
Ikeda, E., Shiba, T., Ikeda, Y., Suda, W., Nakasato, A., Takeuchi, Y., Azuma, M., Hattori, M., & Izumi, Y. (2019) · Odontology · doi:10.1007/s10266-019-00452-4 · Cited by 64
“[47] reconstructed metabolic networks using metatranscriptomic analysis.”
BackgroundMaintaining a protective state for human periodontal tissue
Yamamoto, M., & Aizawa, R. (2021) · Periodontology 2000 · doi:10.1111/prd.12367 · Cited by 70
Jakubovics, N. S. (2015) · Microbiology Spectrum · doi:10.1128/microbiolspec.mbp-0013-2014 · Cited by 63
“In the case of butyrate production, for example, F. nucleatum was the only organism found to have a pathway for the conversion of lysine to butyrate (87).”
BackgroundMetatranscriptomic analyses of the oral microbiome
Duran-Pinedo, A. E. (2020) · Periodontology 2000 · doi:10.1111/prd.12350 · Cited by 62
Romano, F., Meoni, G., Manavella, V., Baima, G., Tenori, L., Cacciatore, S., & Aimetti, M. (2018) · Journal of Periodontology · doi:10.1002/jper.18-0097 · Cited by 61
Yu, J. C.-K., Khodadadi, H., & Baban, B. (2019) · The EPMA Journal · doi:10.1007/s13167-019-00163-4 · Cited by 60
An Evidence-Based Update on the Molecular Mechanisms Underlying Periodontal Diseases
Qasim, S. S. B., Alotaibi, D. H., Jasser, R. A., Gul, S. S., & Zafar, M. S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21113829 · Cited by 68
“Other proteins, such as cystatins (protease inhibitors) [66] and fibronectin [69], are detected at higher levels in periodontitis patients.”
BackgroundOral microbiome in HIV-associated periodontitis
Noguera-Julián, M., Guillén, Y., Peterson, J., Reznik, D. A., Harris, E. V., Joseph, S. J., Rivera, J., Kannanganat, S., Amara, R. R., Nguyen, M. L., et al. (2017) · Medicine · doi:10.1097/md.0000000000005821 · Cited by 59
Towards improved biofilm models
Rumbaugh, K. P., & Whiteley, M. (2024) · Nature Reviews Microbiology · doi:10.1038/s41579-024-01086-2 · Cited by 63
Self-citationNath, S., Zilm, P. S., Jamieson, L., Kapellas, K., Goswami, N., Ketagoda, K., & Weyrich, L. S. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260433 · Cited by 63
Do, T., SHEEHY, E. C., Mulli, T., Hughes, F. J., & Beighton, D. (2015) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2015.00025 · Cited by 58
Tralau, T., Sowada, J., & Luch, A. (2014) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2015.990437 · Cited by 59
“Producers of butyrate such as Fusobacterium nucleatum were thus generally considered beneficial until populational shifts of this bacterium were recently associated with tumour promotion [42].”
BackgroundMicrobial dysbiosis: The root cause of periodontal disease
Kumar, P. (2021) · Journal of Periodontology · doi:10.1002/jper.21-0245 · Cited by 64
Rebollar, E. A., Gutiérrez‐Preciado, A., Noecker, C. A., Eng, A., Hughey, M. C., Medina, D., Walke, J. B., Borenstein, E., Jensen, R. V., Belden, L. K., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00466 · Cited by 64
“…have focused on insect endosymbionts, which generally involve only a few bacterial species (Dale and Moran, 2006), whereas more recent studies, mainly in humans, have revealed a complex community of microbes coexisting with their host (Turnbaugh et al., 2007; Grice, 2014; Jorth et al., 2014).”
BackgroundMetabolic Signaling and Spatial Interactions in the Oral Polymicrobial Community
Miller, D. P., Fitzsimonds, Z. R., & Lamont, R. J. (2019) · Journal of Dental Research · doi:10.1177/0022034519866440 · Cited by 60
“These studies suggest that the overall metabolic potential of the community may be more correlative with disease than the presence of individual species (Jorth et al. 2014).”
BackgroundRudney, J. D., Jagtap, P. D., Reilly, C., Chen, R., Markowski, T. W., Higgins, L., Johnson, J. E., & Griffin, T. J. (2015) · Microbiome · doi:10.1186/s40168-015-0136-z · Cited by 54
“They observed that taxonomically diverse diseased sites shared conserved gene expression profiles [21].”
Deng, Z.-L., Sztajer, H., Jarek, M., Bhuju, S., & Wagner‐Döbler, I. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00124 · Cited by 55
“Jorth et al. (2014) compared microbial communities in healthy and diseased periodontal pockets in the same individual; they suggested that although the species composition in periodontal pockets varies widely, the metabolic networks operating in disease are conserved.”
BackgroundManaging Oral Health in the Context of Antimicrobial Resistance
Bessa, L. J., Botelho, J., Machado, V., Alves, R. C., & Mendes, J. J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416448 · Cited by 57
“Despite the interpatient variability in microbial composition between healthy individuals and diseased patients, disease-associated microbial communities display conserved metabolic profiles that are generally accomplished by a patient-specific microbiome [36].”
BackgroundUtilizing de Bruijn graph of metagenome assembly for metatranscriptome analysis
Ye, Y., & Tang, H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv510 · Cited by 52
“We developed an application of this mapping algorithm: a reference-based approach to metatranscriptome assembly using graphs of metagenome assembly as the reference.”
MethodFariña, R., Severi, M., Carrieri, A., Miotto, E., Sabbioni, S., Trombelli, L., & Scapoli, C. (2019) · Archives of Oral Biology · doi:10.1016/j.archoralbio.2019.05.025 · Cited by 52
Pataro, A. L., Cortelli, S. C., de Abreu, M. H. N. G., Cortelli, J. R., Franco, G. C. N., Aquino, D. R., Cota, L. O. M., & Costa, F. O. (2016) · Journal of Applied Oral Science · doi:10.1590/1678-775720150534 · Cited by 51
Host‐microbe interactions: Profiles in the transcriptome, the proteome, and the metabolome
Nguyen, T., Sedghi, L., Ganther, S., Malone, E., Kamarajan, P., & Kapila, Y. L. (2020) · Periodontology 2000 · doi:10.1111/prd.12316 · Cited by 51
Lafaurie, G. I., Neuta, Y., Ríos, R., Pacheco, M., Pianeta, R., Castillo, D. M., Herrera, D., Reyes, J., Díaz, L., Castillo, Y., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273523 · Cited by 49
“Although a greater alpha diversity of the oral microbiome was associated with periodontal health [30] or gingivitis [28,31] compared with periodontitis, other studies have reported greater diversity in periodontitis [14,32] or have not found differences [33].”
ResultMicrobial diagnostics in periodontal diseases
Manoil, D., Parga, A., Bostancı, N., & Belibasakis, G. N. (2024) · Periodontology 2000 · doi:10.1111/prd.12571 · Cited by 51
Shen, H., Zang, Y., Song, K., Ma, Y., Dai, T., & Serwadda, A. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00732 · Cited by 48
“The evolutionarily-stable commensal microbes positively and negatively affect host health, and when this balance is disrupted, symbiotic microbes can induce disease (Breznak and Brune, 1994; Douglas, 1998; Fraune and Zimmer, 2008; Jorth et al., 2014).”
BackgroundJanem, W. F., Scannapieco, F. A., Sabharwal, A., Tsompana, M., Berman, H. A., Haase, E. M., Miecznikowski, J. C., & Mastrandrea, L. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183600 · Cited by 48
Huang, Y., Zhao, X., Cui, L., & Huang, S. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.728585 · Cited by 50
Mastellos, D. C., Ricklin, D., Hajishengallis, E., Hajishengallis, G., & Lambris, J. D. (2015) · Molecular Oral Microbiology · doi:10.1111/omi.12129 · Cited by 47
“caused by a single or a limited number of pathogens, but rather is the result of a polymicrobial community-induced disruption of the host’s homeostasis leading to destructive inflammation in susceptible individuals (Kumar et al., 2006; Dewhirst et al., 2010; Hajishengallis et al., 2011; Griffen et al., 2012; Hajisheng…”
COMAN: a web server for comprehensive metatranscriptomics analysis
Ni, Y., Li, J., & Panagiotou, G. (2016) · BMC Genomics · doi:10.1186/s12864-016-2964-z · Cited by 46
“Dietary [5] and xenobiotic treatments [6] have been found to alter significantly gut microbial gene expression profiles, while health-and disease-associated oral microbiota communities displayed defined metabolic differences [7].”
BackgroundPolymicrobial Interactions of Oral Microbiota: a Historical Review and Current Perspective
Zhang, M., Whiteley, M., & Lewin, G. R. (2022) · mBio · doi:10.1128/mbio.00235-22 · Cited by 50
“nucleatum does not significantly change in relative abundance between healthy and diseased samples, but metatranscriptomics shows that its metabolism is altered (40).”
BackgroundSelf-citationEffects of altitude on human oral microbes
Fang, L., Liang, T., Zhang, Z., Liu, L., Li, J., Dong, W., Zhang, H., Bai, S., Ma, L., & Kang, L. (2021) · AMB Express · doi:10.1186/s13568-021-01200-0 · Cited by 48
“Disorders of the oral microbiota are associated with various diseases, such as dental caries, periodontitis, peri-implantitis, mucosal diseases, and oral cancers (Jorth et al. 2014; Gao et al. 2018; Wasfi et al. 2018).”
BackgroundSzafrański, S. P., Deng, Z.-L., Tomasch, J., Jarek, M., Bhuju, S., Rohde, M., Sztajer, H., & Wagner‐Döbler, I. (2017) · BMC Genomics · doi:10.1186/s12864-017-3618-5 · Cited by 44
Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome
Bernstein, D. B., Dewhirst, F. E., & Segrè, D. (2019) · eLife · doi:10.7554/elife.39733 · Cited by 44
“The organic acids were chosen by searching through the literature for those that were found to be relevant for oral health ( Jorth et al., 2014 ; Takahashi, 2015 ).”
BackgroundMethodWang, J., Feng, J., Zhu, Y., Li, D., Wang, J., & Chi, W. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.931065 · Cited by 46
Zhang, Y., Zhen, M., Zhan, Y., Song, Y., Zhang, Q., & Wang, J. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00409 · Cited by 42
Nemoto, T., Shiba, T., Komatsu, K., Watanabe, T., Shimogishi, M., Shibasaki, M., Koyanagi, T., Nagai, T., Katagiri, S., Takeuchi, Y., et al. (2021) · mSystems · doi:10.1128/msystems.00886-21 · Cited by 34
“Some studies have shown differences in bacterial composition and gene expression between periodontally healthy and diseased sites by using metatranscriptomic sequencing (19, 20).”
BackgroundDeciphering the human microbiome using next-generation sequencing data and bioinformatics approaches
Kim, Y., Koh, I., & Rho, M. (2014) · Methods · doi:10.1016/j.ymeth.2014.10.022 · Cited by 44
Peters, B. A., McCullough, M. L., Purdue, M. P., Freedman, N. D., Um, C. Y., Gapstur, S. M., Hayes, R. B., & Ahn, J. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-18-0184 · Cited by 41
“Specifically in regards to the oralmicrobiota, oral disease states (caries, periodontal disease) have been associated with reduced oral microbiome diversity (44, 45), suggesting that tea promotes a healthy oral microbiome.”
BackgroundChan, J., Wright, J., Wong, H. T., Ardasheva, A., Brumbaugh, J. T., McLimans, C. J., & Lamendella, R. (2019) · Scientific Reports · doi:10.1038/s41598-019-41452-2 · Cited by 39
The paradox of painless periodontal disease
Gaurilcikaite, E., Renton, T. F., & Grant, A. D. (2016) · Oral Diseases · doi:10.1111/odi.12537 · Cited by 40
Microbiology of Apical Periodontitis
Siqueira, J. F., Jr., & Rôças, I. N. (2019) · Wiley eBooks · doi:10.1002/9781119272014.ch4 · Cited by 39
Microbial Community Composition Impacts Pathogen Iron Availability during Polymicrobial Infection
Stacy, A., Abraham, N., Jorth, P. A., & Whiteley, M. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1006084 · Cited by 43
Self-citationLocalized aggressive periodontitis immune response to healthy and diseased subgingival plaque
Shaddox, L. M., Spencer, W. P., Velsko, I. M., Al‐Kassab, H., Huang, H., Calderon, N., Aukhil, I., & Wallet, S. M. (2016) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12560 · Cited by 38
“These findings indicate that high species diversity may be a more important factor in disease development and progression, which is in contrast to chronic periodontal disease, in which there appears to be a decrease in species diversity (Jorth et al., 2014, Socransky and Haffajee, 2005).”
BackgroundCai, J.-N., & Kim, D. (2023) · Advances in applied microbiology · doi:10.1016/bs.aambs.2023.02.001 · Cited by 43
A Graph-Centric Approach for Metagenome-Guided Peptide and Protein Identification in Metaproteomics
Tang, H., Li, S., & Ye, Y. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005224 · Cited by 37
“Current metatranscriptomic and metaproteomic studies often directly adopt protocols originally developed for the transcriptomic and proteomic studies of model bacterial species; for examples, many metatranscriptomic projects exploited the bacterial RNA-seq protocol [17, 18], while most metaproteomic studies applied th…”
MethodFrom Mouth to Model: Combining in vivo and in vitro Oral Biofilm Growth
Klug, B., Santigli, E., Westendorf, C., Tangl, S., Wimmer, G., & Grube, M. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01448 · Cited by 36
Li, H., Li, T., Berasategui, A., Rui, J., Zhang, X., Li, C., Xiao, Z., & Li, X. (2017) · FEMS Microbiology Ecology · doi:10.1093/femsec/fix149 · Cited by 36
Microbiome Profiles of Ligature-Induced Periodontitis in Nonhuman Primates across the Life Span
Kirakodu, S. S., Chen, J., González‐Martínez, J., González, O. A., & Ebersole, J. L. (2019) · Infection and Immunity · doi:10.1128/iai.00067-19 · Cited by 36
Behavioral strategies for periodontal health
Suvan, J. E., Sabalić, M., Araújo, M., & Ramseier, C. A. (2022) · Periodontology 2000 · doi:10.1111/prd.12462 · Cited by 50
Baker, J. L. (2023) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuad051 · Cited by 37
Bao, G., Wang, M., Doak, T. G., & Ye, Y. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00896 · Cited by 34
“Current analyses of metatranscriptomic datasets focus on the detection of gene expression levels and the study of the relationship between changes of gene expression and changes of environment.”
BackgroundWidespread, human-associated redondoviruses infect the commensal protozoan Entamoeba gingivalis
Keeler, E. L., Merenstein, C., Reddy, S. G., Taylor, L. J., Güemes, A. G. C., Zankharia, U. S., Collman, R. G., & Bushman, F. D. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.11.002 · Cited by 34
Multi‐Omics Signatures of Periodontitis and Periodontal Therapy on the Oral and Gut Microbiome
Baima, G., Dabdoub, S. M., Thumbigere‐Math, V., Ribaldone, D. G., Caviglia, G. P., Tenori, L., Fantato, L., Vignoli, A., Romandini, M., Ferrocino, I., et al. (2025) · Journal of Periodontal Research · doi:10.1111/jre.70055 · Cited by 34
Mechanisms underlying interactions between two abundant oral commensal bacteria
Perera, D., McLean, A. R., Morillo-López, V., Cloutier-Leblanc, K., Almeida, E., Cabana, K., Welch, J. L. M., & Ramsey, M. M. (2021) · The ISME Journal · doi:10.1038/s41396-021-01141-3 · Cited by 33
“parainfluenzae gene expression in published metatranscriptome datasets [59, 60].”
BackgroundRe-discovering periodontal butyric acid: New insights on an old metabolite
Cueno, M. E., & Ochiai, K. (2015) · Microbial Pathogenesis · doi:10.1016/j.micpath.2015.10.006 · Cited by 34
Colombo, A. P. V., Paster, B. J., Grimaldi, G., Lourenço, T. G. B., Têva, A., Campos‐Neto, A., McCluskey, J., Kleanthous, H., Dyke, T. E. V., & Stashenko, P. (2017) · Journal of Oral Microbiology · doi:10.1080/20002297.2017.1403843 · Cited by 33
Walker, A. W. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-31248-4_2 · Cited by 32
A survey on predicting microbe-disease associations: biological data and computational methods
Wen, Z., Yan, C., Duan, G., Li, S., Wu, F., & Wang, J. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa157 · Cited by 31
Oral Microbiome and Gingival Transcriptome Profiles of Ligature-Induced Periodontitis
Ebersole, J., Kirakodu, S., Chen, J., Nagarajan, R., & Gonzalez, O. (2020) · Journal of dentistry research · doi:10.1177/0022034520906138 · Cited by 26
“While the microbiomes in health and disease have been described in humans (Wade 2013; Jorth et al. 2014; Feres et al. 2016; Kilian et al. 2016), limitations of studies of human disease do not allow definitive interpretation of how early in an active disease process critical microbiome alterations occur, as well as the…”
BackgroundZhao-Fleming, H. H., Wilkinson, J. E., Larumbe‐Zabala, E., Dissanaike, S., & Rumbaugh, K. P. (2019) · Apmis · doi:10.1111/apm.12969 · Cited by 29
“DNA was extracted via ethanol precipitation, following an established protocol (16).”
MethodDistinct Regulatory Role of Carbon Catabolite Protein A (CcpA) in Oral Streptococcal spxB Expression
Redanz, S., Masilamani, R., Cullin, N., Giacaman, R. A., Merritt, J. L., & Kreth, J. (2018) · Journal of Bacteriology · doi:10.1128/jb.00619-17 · Cited by 27
“oralis in two out of three patients with generalized aggressive periodontitis (44).”
BackgroundNonulosonic acids contribute to the pathogenicity of the oral bacterium Tannerella forsythia
Bloch, S., Tomek, M. B., Friedrich, V., Messner, P., & Schäffer, C. (2019) · Interface Focus · doi:10.1098/rsfs.2018.0064 · Cited by 28
Ashe, E. C., Comeau, A., Zejdlik, K. J., & O’Connell, S. P. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.689493 · Cited by 30
Velsko, I. M., & Shaddox, L. M. (2018) · BMC Microbiology · doi:10.1186/s12866-018-1212-x · Cited by 30
“biofilm plaque from healthy and periodontitis-affected sites suggest that community activity is more uniform across disease sites than is microbial profile [6, 7, 55], and further investigation of protein expression and metabolic output in healthy and disease-site derived biofilms is warranted [56].”
BackgroundRam-Mohan, N., & Meyer, M. M. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00482 · Cited by 27
Omics and interspecies interaction
Shokeen, B., Dinis, M., Haghighi, F., Tran, N. C., & Lux, R. (2020) · Periodontology 2000 · doi:10.1111/prd.12354 · Cited by 28
Yip, S., Dehcheshmeh, M. M., McLelland, D. J., Boardman, W. S. J., Saputra, S., Ebrahimie, E., Weyrich, L. S., Bird, P. S., & Trott, D. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-97057-1 · Cited by 32
Can the microbiome influence host evolutionary trajectories?Preprint
Henry, L. P., Bruijning, M., Forsberg, S. K. G., & Ayroles, J. F. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/700237 · Cited by 27
Robledo‐Sierra, J., Amy, D. P. B., Varoni, E. M., Bavarian, R., Simonsen, J. L., Paster, B. J., Wade, W. G., Kerr, A. R., Peterson, D. E., & Lau, E. F. (2019) · Oral Diseases · doi:10.1111/odi.13107 · Cited by 26
“Likewise, a study using metatranscriptomics reported that although there was highly variable metabolic gene expression of the individual species, the metabolism of the entire microbial community associated with periodontal disease was similar among periodontitis patients (Jorth et al., 2014).”
BackgroundAdvances, practice, and clinical perspectives in high‐throughput sequencing
Park, S., Saito-Adachi, M., Komiyama, Y., & Nakai, K. (2015) · Oral Diseases · doi:10.1111/odi.12403 · Cited by 26
“Human oral microorganisms are increasingly important for studying oral pathogens (Jorth et al, 2014; Xu and Gunsolley, 2014; Duran-Pinedo and Frias-Lopez, 2015).”
BackgroundȘurlin, P., Nicolae, F. M., Şurlin, V., Pătrașcu, Ș., Ungureanu, B. S., Didilescu, A. C., & Gheonea, D. I. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9123885 · Cited by 25
“Fusobacterium nucleatum upregulates the synthesis of butyrate, which is a cytotoxic fatty acid involved in periodontal disease, especially in aggressive periodontitis [52,53].”
BackgroundmetaModules identifies key functional subnetworks in microbiome-related disease
May, A., Brandt, B. W., El-Kebir, M., Klau, G. W., Zaura, E., Crielaard, W., Heringa, J., & Abeln, S. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv526 · Cited by 24
“nucleatum species was proposed to be responsible for butanoate production (Jorth et al., 2014). Our analysis suggests otherwise; a wider range of organisms seems responsible for the production of butanoate. Note that our reference metagenome database included genes from all species in KEGG, while Jorth et al. (2014) u…”
BackgroundProteomic analysis of Fusobacterium nucleatum growth in biofilm versus planktonic state
Llama‐Palacios, A., Potupa, O., Sánchez, M. C., Figuero, E., Herrera, D., & Sanz, M. (2020) · Molecular Oral Microbiology · doi:10.1111/omi.12303 · Cited by 25
New Technologies for Studying Biofilms
Franklin, M. J., Chang, C. B., Akiyama, T., & Bothner, B. B. (2015) · ASM Press eBooks · doi:10.1128/9781555817466.ch1 · Cited by 24
Microbiome based precision medicine through integrated multiomics and machine learning
Kumar, A., Xu, C., & Dakal, T. C. (2025) · Microbiological Research · doi:10.1016/j.micres.2025.128384 · Cited by 24
Lewin, G. R., Stocke, K. S., Lamont, R. J., & Whiteley, M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116637119 · Cited by 23
Self-citationZwinsová, B., Петров, В. А., Hrivňáková, M., Smatana, S., Micenková, L., Kazdová, N., Popovici, V. C., Hrstka, R., Šefr, R., Bencsiková, B., et al. (2021) · Cancers · doi:10.3390/cancers13194799 · Cited by 23
Oral microbiota–host interaction: the chief culprit of alveolar bone resorption
Xu, J., Yu, L., Ye, S., Ye, Z., Yang, L., & Xu, X. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1254516 · Cited by 22
Microbiota in Human Periodontal Abscess Revealed by 16S rDNA Sequencing
Chen, J., Wu, X., Zhu, D., Xu, M., Yu, Y., Yu, L., & Zhang, W. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01723 · Cited by 22
Grade C molar-incisor pattern periodontitis subgingival microbial profile before and after treatment
Velsko, I. M., Harrison, P., Chalmers, N. I., Barb, J. J., Huang, H., Aukhil, I., & Shaddox, L. M. (2020) · Journal of Oral Microbiology · doi:10.1080/20002297.2020.1814674 · Cited by 22
“[46] reported slightly different results in grade C periodontitis sites.”
ResultPriyadarsini, S., Moumita, S., Sahu, S., Jayabalan, R., & Mishra, M. (2019) · Invertebrate Neuroscience · doi:10.1007/s10158-019-0233-y · Cited by 22
“The gut microbiome population varies from person to person, region to region, depending on the diet (Jorth et al. 2014).”
BackgroundIrie, K., Azuma, T., Tomofuji, T., & Yamamoto, T. (2023) · Dentistry Journal · doi:10.3390/dj11080194 · Cited by 24
“Interestingly, dysbiotic communities were less diverse, but more similar among each other than healthy periodontal pocket communities [52].”
BackgroundThe Oral Microbiome in Health and Disease
Olsen, I. (2015) · Springer eBooks · doi:10.1007/978-3-319-25091-5_10 · Cited by 21
Carrera, C. A., Li, Y., Chen, R., Aparicio, C., Fok, A. S. L., & Rudney, J. D. (2017) · Journal of Dentistry · doi:10.1016/j.jdent.2017.08.009 · Cited by 21
Oral microbiota in xerostomia patients - A preliminary study
Weng, C.-T., Huang, S., Yang, H.-W., Kao, C., Wei, C.-C., & Huang, Y. (2021) · Journal of Dental Sciences · doi:10.1016/j.jds.2021.08.007 · Cited by 21
“The microbial population, different from normal constitution, are apparent in several pathologic conditions.(7) Thus, we hypothesized that a change in the amount of saliva will alter the composition of oral microbiota.”
BackgroundMedhi, B., Sarma, P., Mahendiratta, S., & Prakash, A. (2018) · Indian Journal of Pharmacology · doi:10.4103/ijp.ijp_218_18 · Cited by 21
“Data from human microbiome project have shown that alteration in the normal microbiota is associated with many diseases, including obesity, periodontitis, inflammatory bowel disease, irritable bowel syndrome, diabetes, cancer, rheumatoid arthritis, Alzheimer’s disease, and Parkinsonism’s disease.[2,5] Alteration of th…”
BackgroundMetatranscriptome and Resistome of the Endodontic Microbiome
Pinheiro, E. T., Karygianni, L., Candeiro, G. T. D. M., Vilela, B. G., Dantas, L. O., Pereira, A. C. C., Gomes, B. P. F. A., Attin, T., Thurnheer, T., & Russo, G. (2024) · Journal of Endodontics · doi:10.1016/j.joen.2024.03.015 · Cited by 20
Shen, Z., Kumar, D., Liu, X., Yan, B., Fang, P., Gu, Y., Li, M., Xie, M., Yuan, R., Feng, Y., et al. (2021) · Biology · doi:10.3390/biology10060462 · Cited by 19
“Host disease can be induced by symbiotic microbes after this balance is disrupted [43,45].”
BackgroundYoshihara, T., Kioi, M., Baba, J., Usuda, H., Kessoku, T., Iwaki, M., Takatsu, T., Misawa, N., Ashikari, K., Matsuura, T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-03083-4 · Cited by 21
Metadata
- Authors
- Jorth, P., Turner, K. H., Gumus, P., Nizam, N., Buduneli, N., & Whiteley, M.
- Affiliations
- The University of Texas at Austin (US)
- Department of Periodontology, School of Dentistry, Ege University, Izmir, Turkey
- Ege University (TR)
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2014-05
- Volume
- 5
- Issue
- 2
- Pages
- e01012-14
- ISSN
- 2150-7511 (ISSN-L)
- 2161-2129
- PMC
- PMC3977359
- OpenAlex
- W2146975236
- Cited by
- 386
- References
- 33
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 24 · 2023: 13 · 2022: 25 · 2021: 33 · 2020: 45 · 2019: 39 · 2018: 33 · 2017: 40 · 2016: 33 · 2015: 39 · 2014: 14
- FWCI
- 56.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (5f31de021633-02)
- National Institute of Dental and Craniofacial Research (F31 DE021633, R01DE023193, 5F31DE021633-02, R01DE020100)
- Topics
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- oral microbiota, periodontitis, metatranscriptomics, microbial community metabolism, interpatient variability, periodontal plaque, virulence gene expression
- MeSH terms
- Adult, Female, Humans, Male, Mouth, Periodontitis, Metagenome, Transcriptome, Microbiota, Dysbiosis
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