The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
On the ecosystemic network of saliva in healthy young adults
Abstract
A dysbiotic state is believed to be a key factor in the onset of oral disease. Although oral diseases have been studied for decades, our understanding of oral health, the boundaries of a healthy oral ecosystem and ecological shift toward dysbiosis is still limited. Here, we present the ecobiological heterogeneity of the salivary ecosystem and relations between the salivary microbiome, salivary metabolome and host-related biochemical salivary parameters in 268 healthy adults after overnight fasting. Gender-specific differences in the microbiome and metabolome were observed and were associated with salivary pH and dietary protein intake. Our analysis grouped the individuals into five microbiome and four metabolome-based clusters that significantly related to biochemical parameters of saliva. Low salivary pH and high lysozyme activity were associated with high proportions of streptococcal phylotypes and increased membrane-lipid degradation products. Samples with high salivary pH displayed increased chitinase activity, higher abundance of Veillonella and Prevotella species and higher levels of amino acid fermentation products, suggesting proteolytic adaptation. An over-specialization toward either a proteolytic or a saccharolytic ecotype may indicate a shift toward a dysbiotic state. Their prognostic value and the degree to which these ecotypes are related to increased disease risk remains to be determined.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many parallels can be found between the study's stomatotypes and those in other studies, including clusters that show clear similarities.
“Yet, many parallels can also be found between our stomatotypes, and those in these studies.”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [22]
The core community composition and distribution is consistent with previous studies of oral healthy microbiomes.
“This core community composition and distribution is consistent with previous studies of oral healthy microbiomes [2, 9, 22, 28–30].”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [22]
Other studies of the oral microbiome have found different numbers of clusters: five discrete clusters in 268 healthy young adults and three clusters in 161 healthy adults.
“An analysis of the oral microbiome in 268 healthy young adults (18–32) classified the samples into five discrete clusters [22], whereas another study of 161 healthy adults found three different clusters [16].”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [22]
Several of the correlations mentioned in the study coincide with those found in previous studies.
“Of note, several of the correlations mentioned in our study coincide with those found in previous studies [16, 22].”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [22]
In terms of driving species, stomatotypes 1 and 2 are similar to MIC1.3 and MIC2 of the 268 adults study and to clusters 1 and 2 of the 161 adults study.
“In terms of the driving species, our stomatotypes 1 and 2 are similar, respectively, to MIC1.3 and MIC2 of the 268 adults study and to clusters 1 and 2 of the 161 adults study.”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [22]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Dewhirst, F. E., Chen, T., Izard, J., Paster, B. J., Tanner, A. C. R., Yu, W.-H., Lakshmanan, A., & Wade, W. G. (2010) · Journal of Bacteriology · doi:10.1128/jb.00542-10 · Cited by 3,352
Generalized procrustes analysis
Gower, J. C. (1975) · Psychometrika · doi:10.1007/bf02291478 · Cited by 3,267
Microbial co-occurrence relationships in the human microbiome
Faust, K., Sathirapongsasuti, J. F., Izard, J., Segata, N., Gevers, D., Raes, J., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002606 · Cited by 1,527
Are dental diseases examples of ecological catastrophes?
Marsh, P. D. (2003) · Microbiology · doi:10.1099/mic.0.26082-0 · Cited by 1,256
Dynamics and associations of microbial community types across the human body
Ding, T., & Schloss, P. D. (2014) · Nature · doi:10.1038/nature13178 · Cited by 885
Oral Microbiome Metabolism: From “Who Are They?” to “What Are They Doing?”
Takahashi, N. (2015) · Journal of Dental Research · doi:10.1177/0022034515606045 · Cited by 488
De Filippis, F., Vannini, L., La Storia, A., Laghi, L., Piombino, P., Stellato, G., Serrazanetti, D. I., Gozzi, G., Turroni, S., Ferrocino, I., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112373 · Cited by 146
Flagged first, then by citations
Research works printed but not linked: 51
- Barnes, 2011, Metabolomics reveals elevated macromolecular degradation in periodontal disease, J Dent Res, 90, 1293, 10.1177/0022034511416240 · DOI
- Benjamini, 1995, Controlling the false discovery rate: a practical610 and powerful apporach to multiple testing, J R Stat Soc, 57, 289, 10.1111/j.2517-6161.1995.tb02031.x · DOI · Paper page
- Biesbroek, 2014, Early respiratory microbiota composition determines bacterial succession patterns and respiratory health in children, Am J Respir Crit Care Med, 190, 1283, 10.1164/rccm.201407-1240OC · DOI · Paper page
- Borgdorff, 2014, Lactobacillus-dominated cervicovaginal microbiota associated with reduced HIV/sti prevalence and genital HIV viral load in African women, ISME J, 8, 1781, 10.1038/ismej.2014.26 · DOI · Paper page
- Caporaso, 2010, QIIME allows analysis of high-throughput community sequencing data, Nat Methods, 7, 335, 10.1038/nmeth.f.303 · DOI · Paper page
- Dawes, 1972, Circadian rhythms in human salivary flow rate and composition, J Physiol, 220, 529, 10.1113/jphysiol.1972.sp009721 · DOI
- Evans, 2009, Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems, Anal Chem, 81, 6656, 10.1021/ac901536h · DOI
- Feunekes, 1993, Relative and biomarker-based validity of a food-frequency questionnaire estimating intake of fats and cholesterol, Am J Clin Nutr, 58, 489, 10.1093/ajcn/58.4.489 · DOI
- Filippone, 2008, A survey of kernel and spectral methods for clustering, Pattern Recognit, 41, 176, 10.1016/j.patcog.2007.05.018 · DOI
- Gerardu, 2007, Plaque formation and lactic acid production after the use of amine fluoride/stannous fluoride mouthrinse, Eur J Oral Sci, 115, 148, 10.1111/j.1600-0722.2007.00436.x · DOI
- Gomar-Vercher, 2014, Relationship of children’s salivary microbiota with their caries status: a pyrosequencing study, Clin Oral Investig, 18, 2087, 10.1007/s00784-014-1200-y · DOI
- Hammer, 2001, PAST: paleontological statistics software package for education and data analysis, Palaeontol Electron, 4, 1
- Hamosh, 1977, Lipolytic activity of human lingual glands (Ebner), Lab Invest, 37, 603
- Haytac, 2013, Periodontal disease in men, Periodontol 2000, 61, 252, 10.1111/j.1600-0757.2011.00410.x · DOI
- Henskens, 1993, Protein, albumin and cystatin concentrations in saliva of healthy subjects and of patients with gingivitis periodonitis, J Periodont Res, 28, 43, 10.1111/j.1600-0765.1993.tb01049.x · DOI
- Humphrey, 2001, A review of saliva: normal composition, flow, and function, J Prosthet Dent, 85, 162, 10.1067/mpr.2001.113778 · DOI
- Imangaliyev, 2015, Personalized microbial network inference via co-regularized spectral clustering, Methods, 83, 28, 10.1016/j.ymeth.2015.03.017 · DOI
- Jensen, 1999, Diet and dental caries, Dent Clin North Am, 43, 615, 10.1016/S0011-8532(22)00817-5 · DOI
- Joshi, 2014, Smoking decreases structural and functional resilience in the subgingival ecosystem, J Clin Periodontol, 41, 1037, 10.1111/jcpe.12300 · DOI
- Larsson, 1996, Lipids in human saliva, Arch Oral Biol, 41, 105, 10.1016/0003-9969(95)00077-1 · DOI
- Lingström, 1993, Comparison of three different methods for measurement of plaque-pH in humans after consumption of soft bread and potato chips, J Dent Res, 72, 865, 10.1177/00220345930720050601 · DOI
- Lukacs, 2011, Sex differences in dental caries experience: clinical evidence, complex etiology, Clin Oral Investig, 15, 649, 10.1007/s00784-010-0445-3 · DOI
- Luxburg, 2007, A tutorial on spectral clustering, Stat Comput, 17, 395, 10.1007/s11222-007-9033-z · DOI
- Mantel, 1967, The detection of disease clustering and a generalized regression apporach, Cancer Res, 27, 209
- Marsh, 2016, Influence of saliva on the oral microbiota, Periodontol 2000, 70, 80, 10.1111/prd.12098 · DOI · Paper page
- Marsh, 2011, Dental plaque biofilms: communities, conflict and control, Periodontol 2000, 55, 16, 10.1111/j.1600-0757.2009.00339.x · DOI
- Meinshausen, 2010, Stability selection, J R Stat Soc: Ser B Stat Methodol, 72, 417, 10.1111/j.1467-9868.2010.00740.x · DOI
- Molag, 2010, Towards Transparent Development of Food Frequency Questionnaires: Scientific Basis of the Dutch FFQ-toolTM: A Computer System to Generate, Apply and Process FFQs
- Oliveira, 2015, Correlations between two different methods to score bleeding and the relationship with plaque in systemically healthy young adults, J Clin Periodontol, 42, 908, 10.1111/jcpe.12435 · DOI
- Paes Leme, 2006, The role of sucrose in cariogenic dental biofilm formation—new insight, J Dent Res, 85, 878, 10.1177/154405910608501002 · DOI · Paper page
- Pham, 2009, Effects of probiotic Lactobacillus salivarius W24 on the compositional stability of oral microbial communities, Arch Oral Biol, 54, 132, 10.1016/j.archoralbio.2008.09.007 · DOI
- Preshaw, 2012, Periodontitis and diabetes: a two-way relationship, Diabetologia, 55, 21, 10.1007/s00125-011-2342-y · DOI
- Prodan, 2015, Interindividual variation, correlations, and sex-related differences in the salivary biochemistry of young healthy adults, Eur J Oral Sci, 123, 149, 10.1111/eos.12182 · DOI
- RIVM, 2010, Dutch food composition dataset (NEVO), vn 2010/2.0
- Rosier, 2014, Historical and contemporary hypotheses on the development of oral diseases: are we there yet?, Front Cell Infect Microbiol, 4, 92, 10.3389/fcimb.2014.00092 · DOI
- Schloss, 2009, Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities, Appl Environ Microbiol, 75, 7537, 10.1128/AEM.01541-09 · DOI
- Segata, 2011, Metagenomic biomarker discovery and explanation, Genome Biol, 12, R60, 10.1186/gb-2011-12-6-r60 · DOI · Paper page
- Siebelink, 2011, Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults, Br J Nutr, 106, 274, 10.1017/S0007114511000067 · DOI
- Takahashi, 2011, The role of bacteria in the caries process, J Dent Res, 90, 294, 10.1177/0022034510379602 · DOI
- Takeda, 2009, Understanding the human salivary metabolome, NMR Biomed, 22, 577, 10.1002/nbm.1369 · DOI
- Takeshita, 2016, Bacterial diversity in saliva and oral health-related conditions: the hisayama study, Sci Rep, 6, 22164, 10.1038/srep22164 · DOI · Paper page
- The Human Microbiome Consortium, 2012, Structure, function and diversity of the healthy human microbiome, Nature, 486, 207, 10.1038/nature11234 · DOI · Paper page
- Tomita, 2008, Lipids in human parotid saliva with regard to caries experience, J Oleo Sci, 57, 115, 10.5650/jos.57.115 · DOI
- Zhou, 2013, Partially Supervised Learning, 80, 10.1007/978-3-642-40705-5 · DOI
- Tusher, 2001, Significance analysis of microarrays applied to the ionizing radiation response, PNAS, 98, 5116, 10.1073/pnas.091062498 · DOI · Paper page
- van Rossum, 2011, Dutch national food consumption survey 2007–2010.
- Wade, 2013, Characterisation of the human oral microbiome, J Oral Biosci, 55, 143, 10.1016/j.job.2013.06.001 · DOI
- Yuan, 2015, Adverse drug events in the oral cavity, Oral Surg Oral Med Oral Pathol Oral Radiol, 119, 35, 10.1016/j.oooo.2014.09.009 · DOI
- Zaura, 2004, Dental plaque as a biofilm: a pilot study of the effects of nutrients on plaque pH and dentin demineralization, Caries Res, 38, 9, 10.1159/000074357 · DOI
- Zhou, 2013, Biogeography of the ecosystems of the healthy human body, Genome Biol, 14, R1, 10.1186/gb-2013-14-1-r1 · DOI
- Zou, 2005, Regularization and variable selection via the Elastic Net, J R Stat Soc B, 67, 301, 10.1111/j.1467-9868.2005.00503.x · DOI · Paper page
Cited by
Sorted by citations
Willis, J. R., González-Torres, P., Pittis, A. A., Bejarano, L. A., Cozzuto, L., Andreu-Somavilla, N., Alloza-Trabado, M., Valentín, A., Ksiezopolska, E., Company, C., et al. (2018) · Microbiome · doi:10.1186/s40168-018-0592-3 · Cited by 158
Jones, A. M., Vanhatalo, A., Seals, D. R., Rossman, M. J., Piknova, B., & Jonvik, K. L. (2021) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002470 · Cited by 156
Review: modulation of the oral microbiome by the host to promote ecological balance
Cornejo Ulloa, P., van der Veen, M. H., & Krom, B. P. (2019) · Odontology · doi:10.1007/s10266-019-00413-x · Cited by 104
Self-citationKageyama, S., Takeshita, T., Furuta, M., Tomioka, M., Asakawa, M., Suma, S., Takeuchi, K., Shibata, Y., Iwasa, Y., & Yamashita, Y. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx205 · Cited by 73
Vanhatalo, A., L'Heureux, J. E., Black, M. I., Blackwell, J. R., Aizawa, K., Thompson, C., Williams, D. W., van der Giezen, M., Winyard, P. G., & Jones, A. M. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.07.002 · Cited by 15
Metadata
- Authors
- Zaura, E., Brandt, B. W., Prodan, A., Teixeira de Mattos, M. J., Imangaliyev, S., Kool, J., Buijs, M. J., Jagers, F. L. P. W., Hennequin-Hoenderdos, N. L., Slot, D. E., Nicu, E. A., Lagerweij, M. D., Janus, M. M., Fernandez-Gutierrez, M. M., Levin, E., Krom, B. P., Brand, H. S., Veerman, E. C. I., Kleerebezem, M., Loos, B. G., van der Weijden, G. A., Crielaard, W., & Keijser, B. J. F.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-01-10
- Volume
- 11
- Issue
- 5
- Pages
- 1218-1231
- ISSN
- 1751-7362
- 1751-7370
- PMC
- PMC5475835
- Cited by
- 142
- References
- 7
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
