The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index; 5 of the 53 sources its claims cite were checked for support.
Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition
Open accessAbstract
BACKGROUND: The oral cavity comprises a rich and diverse microbiome, which plays important roles in health and disease. Previous studies have mostly focused on adult populations or in very young children, whereas the adolescent oral microbiome remains poorly studied. Here, we used a citizen science approach and 16S profiling to assess the oral microbiome of 1500 adolescents around Spain and its relationships with lifestyle, diet, hygiene, and socioeconomic and environmental parameters. RESULTS: Our results provide a detailed snapshot of the adolescent oral microbiome and how it varies with lifestyle and other factors. In addition to hygiene and dietary habits, we found that the composition of tap water was related to important changes in the abundance of several bacterial genera. This points to an important role of drinking water in shaping the oral microbiota, which has been so far poorly explored. Overall, the microbiome samples of our study can be clustered into two broad compositional patterns (stomatotypes), driven mostly by Neisseria and Prevotella, respectively. These patterns show striking similarities with those found in unrelated populations. CONCLUSIONS: We hypothesize that these stomatotypes represent two possible global optimal equilibria in the oral microbiome that reflect underlying constraints of the human oral niche. As such, they should be found across a variety of geographical regions, lifestyles, and ages.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
A citizen-science 16S survey of 1,319 Spanish adolescents found that oral microbiomes cluster into two broad “stomatotypes” driven mainly by Neisseria and Prevotella, with parallels to unrelated adult populations. Tap water chemistry was the investigated factor most strongly associated with changes in several oral genera, while hygiene, diet, and lifestyle showed more limited links.
Key findings
- From 1,555 collected samples, 1,319 passed quality filters; 332 genera-level OTUs were identified, with 32 genera present in ≥75% of individuals. The top ten genera made up 84.64% of sequences and appeared in 99.6% of samples; Streptococcus was most abundant in 68% of samples (mean 22.3%), followed by Prevotella (11.9%), Haemophilus (11.4%), Neisseria (10.1%), and Veillonella (9%).
- Samples clustered into two stomatotypes: stomatotype 1 driven by Neisseria and stomatotype 2 driven by Prevotella, with higher Haemophilus in stomatotype 1 and higher Veillonella and Streptococcus in stomatotype 2. The authors note similarities to two “coinhabiting groups” in a Japanese adult study and propose naming them Neisseria-Haemophilus and Prevotella-Veillonella stomatotypes.
- Tap water composition was linked to oral microbiome variation: among 17 water parameters, Porphyromonas was positively associated with fluoride and sulfate, while Veillonella, Ralstonia, Rhizobium, Rhodococcus, and Pseudomonas negatively correlated with hardness, alkalinity, conductivity, sulfate, magnesium, sodium, calcium, chloride, and dry matter after boiling.
- Hygiene and habits had measurable but narrower associations: brushing frequency negatively correlated with Gemella, Streptobacillus, Granulicatella, and Porphyromonas; braces correlated positively with many genera; alcohol consumption among 314 students was associated with higher Mycoplasma, Filifactor, Treponema, and Desulfobulbus, while 108 students who smoked showed no significant microbiome differences.
Methods
- Citizen-science sampling of adolescents ages 13–15 and their teachers in 40 Spanish schools during Spring 2015, using oral rinse samples, a 54-question questionnaire, and saliva pH measured with test strips.
- DNA was extracted and the V3–V4 regions of 16S rRNA were sequenced on Illumina MiSeq; reads were processed with Mothur v1.34.4, SILVA v119 alignment, and genus-level OTU grouping.
- Microbiome composition was analyzed in R with Phyloseq; stomatotypes were defined by PAM clustering across five beta-diversity measures, with JSD used for main analyses, and associations tested using Pearson correlations, Kruskal-Wallis, ANOVA/TukeyHSD, chi-squared tests, and Bonferroni correction.
Limitations
- The paper states that citizen science limits comprehensive clinical evaluation by experts, that saliva pH strips lack pH-meter precision, and that low-abundance genera may reflect sporadic environmental colonization rather than stable oral residents.
- The paper notes that adolescents may have recently adopted some habits, so effects of smoking or diet may not yet be apparent, and that stomatotypes represent trends along a continuous gradient rather than discrete, well-separated entities.
- The text makes evident that time since last tooth brushing was not controlled, though the authors argue this is unlikely to drive stomatotype differences because students in one class were sampled together and stomatotypes were not driven by school class.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
5 of 53 cited sources checked · 4 supported · 0 flagged · accuracy not yet measured
- Findingcitation
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].”
Quote in the paperNot a substantial claim3 of 6 sources checked- cites [2] Chen H, Jiang W. Application of high-throughput sequencing in understanding human oral microbiome related with health and disease. Front Microbiol. 2014;5:508. source
- cites [9] Takeshita T, Kageyama S, Furuta M, Tsuboi H, Takeuchi K, Shibata Y, et al. Bacterial diversity in saliva and oral health-related conditions: the Hisayama study. Sci Rep. 2016;6:22164. source
- cites [22] Zaura E, Brandt BW, Prodan A, Teixeira, De Mattos MJ, Imangaliyev S, Kool J, et al. On the ecosystemic network of saliva in healthy young adults. ISME J. 2017;11:1218–31. source
- cites [28] Zaura E, Keijser BJ, Huse SM, Crielaard W. Defining the healthy “core microbiome” of oral microbial communities. BMC Microbiol 2009;9:259. Available from: http://bmcmicrobiol.biomedcentral.com/articles/10.1186/1471-2180-9-259 source
- cites [29] Human T, Project M. Structure, function and diversity of the healthy human microbiome. Nature 2012;486:207–214. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3564958&tool=pmcentrez&rendertype=abstract source
- cites [30] Wade WG. The oral microbiome in health and disease. Pharmacol Res. 2013;69:137–43. source
- Findingown data
Thirty-two genera were common, appearing in 75% or more of the sampled individuals.
“Thirty-two genera were common, appearing in 75% or more of the sampled individuals.”
Quote in the paperNot a substantial claim - Findingown data
In stomatotype 1, Fusobacterium and Capnocytophaga show positive covariation.
“For instance, in the case of stomatotype 1, we detected positive covariation of Fusobacterium and Capnocytophaga, both anaerobic bacteria implicated in dental plaque progression [33], while in stomatotype 2, we specifically detect antagonism between Streptococcus and Actinomyces, which are known to compete in the initial phases of dental plaque formation [32, 37].”
Quote in the paperNot a substantial claim - Findingown data
Porphyromonas was positively associated with the presence of fluoride (F) and sulfate (SO4) in tap water.
“Porphyromonas was positively associated with the presence of fluoride (F) and sulfate (SO4) in tap water.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Findingown data
Flossing or using supplemental fluoride mouth wash did not seem to significantly impact the oral microbiome.
“In contrast, flossing or using supplemental fluoride mouth wash did not seem to significantly impact the oral microbiome.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Other genera such as Streptococcus or Veillonella correlated negatively with saliva pH.
“Other genera such as Streptococcus or Veillonella, among others, correlated negatively with saliva pH [see Additional file 7].”
Quote in the paperNot a substantial claim - Findingown data
No strong correlation was found between the two stomatotypes and any of the 17 water parameters investigated.
“No strong correlation was found between the two stomatotypes and any of the 17 water parameters investigated.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Findingown data
Living in rural or urban areas did not correlate with significant changes in the microbiome.
“We found that living in rural or urban areas did not correlate with significant changes in the microbiome.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Lower socioeconomic status was correlated with higher consumption of coke and sweets among students.
“Here, some differences in dietary habits were found, with a lower socioeconomic status being correlated with higher consumption of coke and sweets among students.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Reported consumption of alcohol among 314 students was associated with a higher presence of several bacterial genera including Mycoplasma, Filifactor, Treponema, and Desulfobulbus, among others.
“Importantly, the reported consumption of alcohol among 314 students was associated with a higher presence of several bacterial genera including Mycoplasma, Filifactor, Treponema, and Desulfobulbus, among others [see Additional file 7].”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Studying co-occurrence patterns for each stomatotype separately reveals underlying bacterial communities that are shared or specific.
“Studying co-occurrence patterns for each stomatotype separately reveals underlying bacterial communities that are shared or specific (Fig. 5).”
Quote in the paperSubstantial claim - Findingown data
Frequent teeth brushing was shown to affect the relative proportion of oral genera more than flossing or the use of fluoride supplements.
“For instance, frequent teeth brushing was shown to affect the relative proportion of oral genera more than flossing, or the use of fluoride supplements.”
Quote in the paperSubstantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Most considered water quality parameters are associated with alterations in the composition of several genera.
“However, we found that most considered water quality parameters are associated to alterations in the composition of several genera (Fig. 7, Additional file 10).”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Findingown data
Larger differences in the oral microbiome were found between students and their teachers.
“Larger differences in the oral microbiome were found between students and their teachers.”
Quote in the paperNot a substantial claim - Findingown data
The presence of dental implants did not show any correlation with oral microbiome changes.
“The presence of dental implants did not show any correlation with oral microbiome changes, but wearing orthodontic braces did correlate positively with the abundance of many genera.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Body mass index seemed to have a minor impact on the mouth microbiome of adolescents in the sample.
“Interestingly, some variables such as body mass index, which is generally associated to alterations in the gut microbiome, and it has been associated to changes in the oral microbiome in adults [44], seemed to have a minor impact on the mouth microbiome of adolescents in our sample.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
No hygiene or dietary habit was shown to impact saliva pH in the study.
“Importantly, no hygiene or dietary habit was shown to impact saliva pH in our study [see Additional file 8].”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Higher oral pH was positively correlated with abundance of Fusobacterium and Porphyromonas.
“Higher oral pH was positively correlated with the abundance of Fusobacterium and Porphyromonas, a bacterial genus known to grow optimally in alkaline environments, and able to increase the pH of its medium [38].”
Quote in the paperNot a substantial claim - Findingown data
Other genera correlated positively with several of these same water variables, including Porphyromonas and Flavobacterium.
“Other genera correlated positively with several of these same variables, including Porphyromonas and Flavobacterium.”
Quote in the paperNot a substantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Findingown data
Genera in this cluster tend to anti-correlate with Haemophilus, Porphyromonas, and Gemella.
“Genera in this cluster tend to anti-correlate with Haemophilus, Porphyromonas, and Gemella.”
Quote in the paperNot a substantial claim - Findingown data
Frequency of brushing teeth correlated negatively with the relative abundance of Gemella, Streptobacillus, Granulicatella, and Porphyromonas.
“Frequency of brushing teeth correlated negatively with the relative abundance of Gemella, Streptobacillus, Granulicatella, and Porphyromonas.”
Quote in the paperSubstantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Gemella negatively correlated with the consumption of yogurt and milk.
“Gemella negatively correlated with the consumption of yogurt and milk.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
In stomatotype 2, Streptococcus and Actinomyces show antagonism.
“For instance, in the case of stomatotype 1, we detected positive covariation of Fusobacterium and Capnocytophaga, both anaerobic bacteria implicated in dental plaque progression [33], while in stomatotype 2, we specifically detect antagonism between Streptococcus and Actinomyces, which are known to compete in the initial phases of dental plaque formation [32, 37].”
Quote in the paperSubstantial claim - Findingown data
The questionnaire only revealed significant differences between rural and urban students in a higher likelihood of having dogs for students living in the countryside.
“This suggests that diets and lifestyles of students are similar in cities and rural areas in Spain, as confirmed by our questionnaire, which only revealed significant differences in terms of a higher likelihood of having dogs for students living in the country side.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
No significant differences were found between lifestyle of students with the two oral stomatotypes.
“Unexpectedly, we found no significant differences between lifestyle of students with the two oral stomatotypes, suggesting our data have not sufficiently captured the key factors underlying these different microbial communities.”
Quote in the paperSubstantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Using this clustering approach on the data results in two major clusters, referred to as stomatotypes.
“Using this approach on our data (see Materials and methods) results in two major clusters, which we here refer to as “stomatotypes” in analogy to the enterotypes of the gut microbiome.”
Quote in the paperSubstantial claim - Findingown data
Consumption of milk was positively correlated with Actinomyces and Atopobium.
“In addition, the consumption of milk was positively correlated with the of Actinomyces and Atopobium.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
Consumption of alcohol among adolescents seemed to impact the oral microbiome more than smoking.
“Similarly, consumption of alcohol among adolescents seemed to impact the oral microbiome more than smoking.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Findingown data
A group of genera including Veillonella, Ralstonia, Rhizobium, Rhodococcus, and Pseudomonas negatively correlated with several water parameters: water hardness, alkalinity, conductivity, and presence of SO4, magnesium, sodium, calcium, chloride, and amount of dry matter after boiling.
“A group of genera including, among others, Veillonella, Ralstonia, Rhizobium, Rhodococcus, and Pseudomonas negatively correlated with several of the following parameters: water hardness, alkalinity, conductivity, and the presence of SO4, magnesium (Mg), sodium (Na), calcium (Ca), chloride (Cl), and the amount of dry matter after boiling.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Findingown data
Most of the 17 ionic measurements showed significant correlations with a number of common genera such as Veillonella and Porphyromonas.
“Indeed, most of the 17 ionic measurements showed significant correlations with a number of common genera such as Veillonella and Porphyromonas.”
Quote in the paperSubstantial claim- Rests on an assumption: The ionic composition of tap water from donors' hometowns, as obtained from national studies, reflects the tap water actually consumed by the donors.
- Findingown data
The chemical composition of tap water from donors' hometowns had the highest impact among factors on oral microbiome composition.
“The factor with the highest impact was the chemical composition of tap water from the hometowns of the donors.”
Quote in the paperSubstantial claim- Rests on an assumption: The ionic composition of tap water from donors' hometowns, as obtained from national studies, reflects the tap water actually consumed by the donors.
- Findingnone given
The structures of these stomatotypes show notable similarities to the two clusters presented in another oral microbiome study of Japanese adults, despite differences in technical approaches and highly distinct populations.
“The structures of these stomatotypes show notable similarities to the two clusters presented in another oral microbiome study of Japanese adults, despite differences in the technical approaches to the metagenomic analyses and highly distinct populations.”
Quote in the paperNot a substantial claim - Findingown data
A number of diet and hygiene factors are associated with alterations in the composition of the oral microbiome.
“We have shown that a number of diet and hygiene factors are associated with alterations in the composition of the oral microbiome, though one caveat is that, since the bulk of the sample set is from adolescents, some habits may be too recently developed to have already had a strong impact.”
Quote in the paperSubstantial claim- Rests on an assumption: The questionnaire responses accurately reflect participants' diet and hygiene habits.
- Findingown data
The samples can be clustered into two distinct groups called stomatotypes.
“We show that the samples can be clustered into two distinct groups which we call stomatotypes.”
Quote in the paperSubstantial claim - Premisecitation
The adolescent oral microbiome remains poorly studied compared with adult and very young child populations.
“Most previous studies have focused on adults, or very young infants, with studies on adolescents lagging behind. The largest dataset on adolescents so far corresponds to a longitudinal study of 107 individuals, including 27 monozygotic and 18 di-zygotic twin pairs [27].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Stahringer SS, Clemente JC, Corley RP, Hewitt J, Knights D, Walters WA, et al. Nurture trumps nature in a longitudinal survey of salivary bacterial communities in twins from early adolescence to early adulthood. Genome Res. 2012;22:2146–52. source
- Premisecitation
Saliva is representative of the overall oral microbiome.
“This fluid can gather bacteria and metabolites that originate from other oral niches, and appear to be representative of the overall oral microbiome [23].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Yamashita Y, Takeshita T. The oral microbiome and human health. J Oral Sci 2017;59:201–6. source
- Interpretationown data
The distinct abundance patterns of stomatotypes and some genera suggest some environmental influence.
“Notably, however, the two stomatotypes, and some genera, were geographically widespread but showed distinct abundance patterns, which suggest some environmental influence.”
Quote in the paperSubstantial claim - Interpretationown data
Overall, the oral microbiome of Spanish adolescents is impacted by dietary, hygiene, and other lifestyle habits.
“Overall, we see that the oral microbiome of Spanish adolescents is impacted by dietary, hygiene, and other lifestyle habits.”
Quote in the paperSubstantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Interpretationreasoning
The negative correlation of brushing frequency with these genera supports the effect of brushing against primary dental plaque.
“It is known that caries is generally associated with an increase of Streptococcus, but also of Granulicatella, and Gemella [21]—although in the latter case, this varies with age [39]—supporting the effect of brushing against primary dental plaque.”
Quote in the paperSubstantial claim - Study design and conductown data
All detected correlations were robust to stochastic variations within the precision range of the measurement, as shown by 1000 randomization tests.
“However, all our detected correlations were robust to stochastic variations within the precision range of the measurement, as shown by 1000 randomization tests (see “Materials and methods” section).”
Quote in the paperSubstantial claim - Interpretationown data
Differences in type and frequency of oral hygiene have measurable effects in the oral microbiome.
“According to our data, differences in type and frequency of oral hygiene do have measurable effects in the oral microbiome.”
Quote in the paperSubstantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Interpretationown data
Orthodontic devices and their surfaces may promote the proliferation of specific biofilm communities.
“This suggests that such orthodontic devices and their surfaces may promote the proliferation of specific biofilm communities.”
Quote in the paperSubstantial claim - Interpretationown data
The data have not sufficiently captured the key factors underlying the different microbial communities.
“Unexpectedly, we found no significant differences between lifestyle of students with the two oral stomatotypes, suggesting our data have not sufficiently captured the key factors underlying these different microbial communities.”
Quote in the paperSubstantial claim - Interpretationreasoning
Differences observed point to a differential impact of habits on the oral microbiome of adolescents.
“Differences observed point to a differential impact of habits on the oral microbiome of adolescents.”
Quote in the paperSubstantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Interpretationown data
The core set of common genera comprised typical oral bacteria.
“This “core” set comprised typical oral bacteria.”
Quote in the paperNot a substantial claim - Interpretationown data
Diets and lifestyles of students are similar in cities and rural areas in Spain.
“This suggests that diets and lifestyles of students are similar in cities and rural areas in Spain, as confirmed by our questionnaire, which only revealed significant differences in terms of a higher likelihood of having dogs for students living in the country side.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
- Interpretationreasoning
The two stomatotypes may point to differences in the relative impact of underlying processes and microbial communities that differentially affect individuals in the study.
“Thus, the two stomatotypes may point to differences in the relative impact of underlying processes and microbial communities that differentially affect individuals in our study.”
Quote in the paperSubstantial claim - Premisecitation
Twenty amplification cycles and cell-rich starting materials such as oral samples are predicted to be minimally affected by contamination.
“Although the issue of contamination is a common theme in microbiome analyses, 20 amplification cycles and cell-rich starting materials such as oral samples are predicted to be minimally affected [43].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Salter SJ, Cox MJ, Turek EM, Calus ST, Cookson WO, Moffatt MF, et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 2014;12:87. source
- Interpretationown data
Overall correlations among taxa revealed several clusters of co-occurring genera that hint at underlying ecological interactions.
“Overall correlations among taxa across all samples revealed several clusters of co-occurring genera that hint to underlying ecological interactions (Fig. 2, Additional file 4).”
Quote in the paperNot a substantial claim - Interpretationown data
Stomatotypes are appropriate to describe trends of change in the underlying microbial communities, which hint to shifts in the balance between driver genera.
“As shown here, stomatotypes are appropriate to describe trends of change in the underlying microbial communities, which hint to shifts in the balance between driver genera.”
Quote in the paperNot a substantial claim - Study design and conductown data
Differences in stomatotypes were not driven by school class.
“Although the time since last tooth brushing was not controlled in our study, we do not think this would drive overall observed differences regarding stomatotypes as all students in one class were sampled at the same time and we found that differences in stomatotypes were not driven by school class.”
Quote in the paperNot a substantial claim - Interpretationcitation
Stomatotypes represent trends in a continuous space of variation.
“We agree with this view and consider that stomatotypes represent trends in a continuous space of variation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] Knights D, Ward TL, CE MK, Miller H, Gonzalez A, McDonald D, et al. Rethinking enterotypes. Cell Host Microbe. 2014;6:433–7 source
- Study design and conductown data
To assess robustness of correlations with pH to stochastic variations within the precision range, measured pH values were randomly changed within ±0.5 1000 times; all reported correlations remained in 100% of cases.
“To assess the robustness of correlations with pH to stochastic variations within the precision range of the measurements, we performed a computational test, changing measured pH value of each saliva sample to a random number within the precision range (± 0.5). We repeated this 1000 times and measured whether reported significant correlations were still existing. For all reported correlations, they”
Quote in the paperNot a substantial claim - Interpretationreasoning
This reinforces the idea that the two stomatotypes define global equilibria of microbial communities, despite a possibly large underlying diversity.
“This reinforces the idea that the two stomatotypes define global equilibria of microbial communities, despite a possibly large underlying diversity.”
Quote in the paperSubstantial claim - Interpretationreasoning
Altogether, the chemical composition of tap water was found to be the investigated factor with the highest impact on the composition of the oral microbiome.
“Altogether, the chemical composition of tap water was found to be the investigated factor with the highest impact on the composition of the oral microbiome.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Study design and conductnone given
Time since last tooth brushing was not controlled in the study.
“Although the time since last tooth brushing was not controlled in our study, we do not think this would drive overall observed differences regarding stomatotypes as all students in one class were sampled at the same time and we found that differences in stomatotypes were not driven by school class.”
Quote in the paperNot a substantial claim
- It may state two separate claims as one. 57
- Probably not a substantial claim. 40
It may state two separate claims as one.
PremisecitationMost of these genera comprise anaerobic Gram negative species or Gram positives associated to acidic fermentations, which are generally associated to mature biofilm acidification, as well as caries and periodontal disease.
“Most of these genera comprise anaerobic Gram negative species or Gram positives associated to acidic fermentations, which are generally associated to mature biofilm acidification, as well as caries and periodontal disease [3].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [3] Hajishengallis E, Parsaei Y, Klein MI, Koo H. Advances in the microbial etiology and pathogenesis of early childhood caries. Mol Oral Microbiol. 2017;32:24–34. source
The sections on ECC microbiota and the biofilm matrix describe acid-producing bacteria contributing to plaque acidification and caries. The section on other bacteria also discusses Gram-negative Prevotella in severe ECC plaque. Our copy does not establish that most of the citing paper’s genera have the stated Gram-staining or anaerobic characteristics, or associate them with periodontal disease. (LLM, conf=0.84)
Experimental — accuracy not yet measured
It may state two separate claims as one.
FindingcitationIn 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.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [16] De Filippis F, Vannini L, La Storia A, Laghi L, Piombino P, Stellato G, et al. The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lacto-vegetarian and vegan individuals. PLoS One. 2014;9:e112373. source
- cites [22] Zaura E, Brandt BW, Prodan A, Teixeira, De Mattos MJ, Imangaliyev S, Kool J, et al. On the ecosystemic network of saliva in healthy young adults. ISME J. 2017;11:1218–31. source
It may state two separate claims as one.
Findingown dataAlthough 108 students declared smoking occasionally, no significant differences were detected in their microbiomes.
“Although 108 students declared smoking occasionally, we did not detect significant differences in their microbiomes.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataStudents were more often consuming sweets and chewing gum, while teachers consumed significantly more coffee and alcohol, reported more dental health problems, and used flossing more frequently.
“The students were more often consuming sweets and chewing gum, while teachers were consuming significantly more coffee and alcohol, reported more dental health problems, and used flossing more frequently.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataSocioeconomic status correlated significantly with abundance of some genera, positively with Rhizobium and negatively with Bradyrhizobium, Acinetobacter, and Pseudomonas.
“Socioeconomic status did correlate significantly with the abundance of some genera, positively with Rhizobium and negatively with Bradyrhizobium, Acinetobacter, and Pseudomonas.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataMeasured oral pH in the samples had a median of 7.5 but showed a wide range.
“Measured oral pH in our samples had a median of 7.5 but showed a wide range [see Additional file 9].”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe study found high alpha diversity (mean Shannon diversity 2.5) and low beta diversity (mean weighted UniFrac distance 0.118).
“Similar to previous oral microbiome surveys [7, 29], we found high alpha (within sample) diversity (mean Shannon diversity 2.5, see Additional file 3) and low beta (between samples) diversity (mean weighted UniFrac distance 0.118).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [7] Moon J-H, Lee J-H. Probing the diversity of healthy oral microbiome with bioinformatics approaches. BMB Rep. 2016;49:662–70. source
- cites [29] Human T, Project M. Structure, function and diversity of the healthy human microbiome. Nature 2012;486:207–214. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3564958&tool=pmcentrez&rendertype=abstract source
It may state two separate claims as one.
Findingown dataThe top ten most abundant genera represented 84.64% of analyzed sequences and were present in 99.6% of samples.
“The top ten most abundant genera represented collectively 84.64% of the analyzed sequences and were present in 99.6% of the samples.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationTwenty of the 32 common genera are also common in a study of 2343 adults in Hisayama, Japan.
“For instance, 20 of our 32 common genera are also common in a recent study of the oral microbiome of 2343 adults in Hisayama (Japan) [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Takeshita T, Kageyama S, Furuta M, Tsuboi H, Takeuchi K, Shibata Y, et al. Bacterial diversity in saliva and oral health-related conditions: the Hisayama study. Sci Rep. 2016;6:22164. source
It may state two separate claims as one.
Findingown dataIn both stomatotypes, Streptococcus is positively correlated with Gemella and negatively with Prevotella and Fusobacterium.
“In both stomatotypes, Streptococcus is positively correlated with Gemella and negatively with Prevotella and Fusobacterium (Fig. 3c).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingcitationThe two stomatotypes show striking similarities or notable overlap with the coinhabiting groups found in the Hisayama study of unrelated populations.
“These patterns show striking similarities with those found in unrelated populations.”
- Also stated in: § Oral microbiome diversity is structured into two major stomatotypes · boosted
“Importantly, although the studies are performed with different methodologies and have largely different target populations, we noted a strong parallelism between our two stomatotypes and the defined “coinhabiting groups” in the abovementioned Hisayama study [9].”
- Also stated in: § Discussion · plain
“Importantly, our two defined stomatotypes show notable overlap with the two “coinhabiting” groups of bacteria identified in another large study [9].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Takeshita T, Kageyama S, Furuta M, Tsuboi H, Takeuchi K, Shibata Y, et al. Bacterial diversity in saliva and oral health-related conditions: the Hisayama study. Sci Rep. 2016;6:22164. source
- Also stated in: § Oral microbiome diversity is structured into two major stomatotypes · boosted
It may state two separate claims as one.
Findingown dataHygiene habits usually showed high correlations among themselves, so that people who brush their teeth more often tended to use fluoride supplements and floss and were more likely to wash their hands before eating and/or after using the bathroom.
“Hygiene habits usually showed high correlations among themselves, so that people who brush their teeth more often tended to use fluoride supplements and floss and were more likely to wash their hands before eating and/or after using the bathroom.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationThe core microbiome comprised typical oral bacteria commonly identified as abundant in similar oral microbiome surveys.
“The core microbiome comprised typical oral bacteria that are commonly identified as abundant in similar oral microbiome surveys [28].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Zaura E, Keijser BJ, Huse SM, Crielaard W. Defining the healthy “core microbiome” of oral microbial communities. BMC Microbiol 2009;9:259. Available from: http://bmcmicrobiol.biomedcentral.com/articles/10.1186/1471-2180-9-259 source
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Findingnone givenAll genera discussed in the paper with the exception of Rubellimicrobium and Undibacterium have been previously identified in oral samples.
“All genera discussed in the paper with the exception of Rubellimicrobium and Undibacterium have been previously identified in oral samples.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe two stomatotypes and some genera were geographically widespread but showed distinct abundance patterns.
“Notably, however, the two stomatotypes, and some genera, were geographically widespread but showed distinct abundance patterns, which suggest some environmental influence.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataSmokers tend to consume more alcohol, and students who reported having a kissing partner were more likely to smoke, drink alcohol, or chew gum.
“For instance, smokers tend to consume more alcohol, and students who reported having a kissing partner were more likely to smoke, drink alcohol, or chew gum [see Additional file 6].”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataStreptococcus was the most abundant genus in 68% of samples with average relative abundance 22.3%, followed by Prevotella 11.9%, Haemophilus 11.4%, Neisseria 10.1%, and Veillonella 9%.
“Streptococcus was the most abundant genus in most (68%) samples and showed an average relative abundance of 22.3%, followed by Prevotella (11.9%), Haemophilus (11.4%), Neisseria (10.1%), and Veillonella (9%).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe study did not find many differences between genders or rural versus urban environment.
“In contrast, we did not find many differences between genders or rural versus urban environment.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataThere were no large differences between oral microbiomes of males and females, with only Actinomyces and Oribacterium showing significantly different abundances, both higher in males.
“We found no large differences between oral microbiomes of males and females, with only two genera (Actinomyces and Oribacterium) showing significantly different abundances (both higher in males).”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataPeople using braces were more often brushing their teeth, and those reporting past nerve extractions drank more alcohol.
“Additionally, people using braces were more often brushing their teeth, and those reporting past nerve extractions drank more alcohol.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataOther differences between stomatotypes include higher proportions of Haemophilus in stomatotype 1 and higher proportions of Veillonella and Streptococcus in stomatotype 2.
“Other differences include higher proportions of Haemophilus in stomatotype 1 and higher proportions of Veillonella and Streptococcus in stomatotype 2.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataStudents with kissing partners had a higher number of taxa in their microbiomes, which also showed a significantly higher presence of Treponema.
“Interestingly, students with kissing partners had a higher number of taxa in their microbiomes, which also showed a significantly higher presence of Treponema.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataThe stomatotypes are driven mostly by certain abundant genera, but do not explain variability found in many other genera.
“The stomatotypes are driven mostly by certain abundant genera, but do not explain the variability found in many other genera.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAlthough many covariations between the two stomatotypes are similar, their strengths can be markedly different, and some covariations appear specific for each stomatotype.
“Although many of the covariations between the two stomatotypes are similar, their strengths can be markedly different. In addition, some covariations appear specific for each stomatotype.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe dataset contained 332 operational taxonomic units at the genus level.
“Overall, we identified 332 operational taxonomic units (OTUs) at the genus level in our dataset.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationSeveral 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].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16] De Filippis F, Vannini L, La Storia A, Laghi L, Piombino P, Stellato G, et al. The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lacto-vegetarian and vegan individuals. PLoS One. 2014;9:e112373. source
- cites [22] Zaura E, Brandt BW, Prodan A, Teixeira, De Mattos MJ, Imangaliyev S, Kool J, et al. On the ecosystemic network of saliva in healthy young adults. ISME J. 2017;11:1218–31. source
It may state two separate claims as one.
Findingown dataRalstonia abundance was negatively affected by nearly all other water variables, and it was the genus whose abundance changed the most with tap water quality, followed by Rhizobium, Veillonella, and Pseudomonas.
“Ralstonia abundance was also negatively affected by nearly all other water variables, and it was the genus whose abundance changed the most with tap water quality, followed by Rhizobium, Veillonella, and Pseudomonas.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
It may state two separate claims as one.
Findingown dataBoys and girls had some different habits: boys tended to drink more milk, coke, or energetic drinks; girls chewed gum and brushed their teeth more often.
“Boys and girls had some different habits. While the former tended to drink more milk, coke, or energetic drinks, the latter chewed gum and brushed their teeth more often.”
Quote in the paperNot a substantial claim- Rests on an assumption: Questionnaire responses accurately reflect participants' habits and health.
It may state two separate claims as one.
Findingown dataThe microbiome samples cluster into two broad compositional patterns (stomatotypes), driven mostly by Neisseria and Prevotella, respectively, and differing in microbial composition and abundance covariations.
“Overall, the microbiome samples of our study can be clustered into two broad compositional patterns (stomatotypes), driven mostly by Neisseria and Prevotella, respectively.”
- Also stated in: § Oral microbiome diversity is structured into two major stomatotypes · plain
“The two defined stomatotypes differ in their microbial composition and abundance covariations, and for which Neisseria (stomatotype 1) and Prevotella (stomatotype 2) are the genera driving most differences (Fig. 3).”
- Also stated in: § Discussion · plain
“We found that the oral microbiome of the studied population can be broadly classified into two different stomatotypes.”
Quote in the paperSubstantial claim- Also stated in: § Oral microbiome diversity is structured into two major stomatotypes · plain
It may state two separate claims as one.
FindingcitationMany 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.”
- Also stated in: § Discussion · boosted
“Although other studies have defined higher number of clusters in the oral microbiome [16, 22], some of these clusters show clear similarities with the two stomatotypes found in this study.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [16] De Filippis F, Vannini L, La Storia A, Laghi L, Piombino P, Stellato G, et al. The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lacto-vegetarian and vegan individuals. PLoS One. 2014;9:e112373. source
- cites [22] Zaura E, Brandt BW, Prodan A, Teixeira, De Mattos MJ, Imangaliyev S, Kool J, et al. On the ecosystemic network of saliva in healthy young adults. ISME J. 2017;11:1218–31. source
- Also stated in: § Discussion · boosted
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenThe core oral microbiome described in this study is composed of genera commonly identified in other oral microbiome studies.
“The core oral microbiome described in this study is composed of genera commonly identified in other oral microbiome studies.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe two stomatotypes contain a significant amount of variability and a gradient of variation, sometimes unrelated to the stomatotypes, is observed for the most abundant genera.
“However, the two stomatotypes do contain a significant amount of variability and a gradient of variation, sometimes unrelated to the stomatotypes, is observed for the most abundant genera.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThree hundred thirty-two different genera were identified in these samples.
“Three hundred thirty-two different genera were identified in these samples.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAlthough the most abundant genera Streptococcus, Prevotella, or Haemophilus were not significantly affected by tap water, some genera among the ten most abundant were affected, including Veillonella, Porphyromonas, and Gemella.
“Although the presence of the most abundant genera of the oral microbiome such as Streptococcus, Prevotella, or Haemophilus (the top three in our samples) were not significantly affected by tap water, some genera among the ten most abundant were affected, including Veillonella, Porphyromonas, and Gemella.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
It may state two separate claims as one.
FindingcitationThe two studies coincide in defining higher proportions of Neisseria, Haemophilus, and Porphyromonas in one type (stomatotype 1, coinhabiting group 2), and higher proportions of Prevotella and Veillonella in the other (stomatotype 2, coinhabiting group 1).
“The two studies coincide in defining higher proportions of Neisseria, Haemophilus, and Porphyromonas, in one of the types (stomatotype 1, coinhabiting group 2), and those of Prevotella, and Veillonella in the other (stomatotype 2, coinhabiting group 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Takeshita T, Kageyama S, Furuta M, Tsuboi H, Takeuchi K, Shibata Y, et al. Bacterial diversity in saliva and oral health-related conditions: the Hisayama study. Sci Rep. 2016;6:22164. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenThe possibility cannot be discarded that some low abundance genera identified are not stable components of the oral cavity but result from sporadic colonization from the close environment of the donor (food, air, or water).
“However, we cannot discard the possibility that some of the low abundance genera identified are not stable components of the oral cavity but result from sporadic colonization from the close environment of the donor (i.e., food, air, or water).”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationFusobacterium and Capnocytophaga are anaerobic bacteria implicated in dental plaque progression.
“For instance, in the case of stomatotype 1, we detected positive covariation of Fusobacterium and Capnocytophaga, both anaerobic bacteria implicated in dental plaque progression [33], while in stomatotype 2, we specifically detect antagonism between Streptococcus and Actinomyces, which are known to compete in the initial phases of dental plaque formation [32, 37].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Takeshita T, Yasui M, Shibata Y, Furuta M, Saeki Y, Eshima N, et al. Dental plaque development on a hydroxyapatite disk in young adults observed by using a barcoded pyrosequencing approach. Sci Rep 2015;5:8136. Available from: http://www.nature.com/articles/srep08136 source
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
InterpretationreasoningSome of the differences may relate to the fact that some habits, such as smoking or some dietary habits, may have just been recently established, or the habit is more sporadic in adolescents, and the effects in the microbiome will only be apparent after a prolonged period of sustained habit.
“Some of these differences may relate to the fact that some habits, such as smoking or some dietary habits, may have just been recently established, or the habit is more sporadic in adolescents, and the effects in the microbiome will only be apparent after a prolonged period of sustained habit.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningPositive correlations between Porphyromonas and Fusobacterium and negative correlations between Veillonella and Gemella further support the plaque succession model, while positive Porphyromonas-Gemella and negative Porphyromonas-Veillonella would not be explained by it.
“Positive correlations between Porphyromonas and Fusobacterium and negative correlations between Veillonella and Gemella further support this model, while positive correlations between Porphyromonas and Gemella and negative correlations between Porphyromonas and Veillonella would not be explained by the current plaque succession model.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may state two separate claims as one.
PremisecitationOther 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].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Zaura E, Brandt BW, Prodan A, Teixeira, De Mattos MJ, Imangaliyev S, Kool J, et al. On the ecosystemic network of saliva in healthy young adults. ISME J. 2017;11:1218–31. source
- cites [16] De Filippis F, Vannini L, La Storia A, Laghi L, Piombino P, Stellato G, et al. The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lacto-vegetarian and vegan individuals. PLoS One. 2014;9:e112373. source
Probably not a substantial claim.
PremisecitationIndividual microbiomes from certain niches can be clustered into different types, such as the enterotypes of the gut microbiome.
“Previous studies have shown that individual microbiomes from certain niches can be clustered into different types, such as the enterotypes of the gut microbiome [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Arumugam M, Raes J, Pelletier E, Le P, Yamada T, Mende DR, et al. Enterotypes of the human gut microbiome. Nature. 2011;473:174–80. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductreasoningMicrobial compositions in oral rinse samples can only be considered a proxy for plaque communities, as the procedure collects cells from different oral niches.
“Microbial compositions in oral rinse samples can only be considered a proxy for plaque communities, as the procedure collects cells from different oral niches.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Study design and conductown dataAll negative controls provided no measurable results and a negligible number of reads when forced into library preparation and sequencing.
“In accordance with this, all of our negative controls provided no measurable results and a negligible number of reads when forced into library preparation and sequencing (see the “Materials and samples” section).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationreasoningThe striking similarities between disparate studies suggest that the two major stomatotypes may be ubiquitous and define global equilibria in the human mouth microbiome.
“These striking similarities between disparate studies suggest that these two major stomatotypes may be ubiquitous and define global equilibria in the human mouth microbiome.”
- Also stated in: § Discussion · hedged
“That the two disparate studies agree in the two broadly defined groups strongly suggests that these two stomatotypes define two possible equilibria of oral microbial communities which are globally present.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · hedged
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationCaries is generally associated with an increase of Streptococcus, Granulicatella, and Gemella.
“It is known that caries is generally associated with an increase of Streptococcus, but also of Granulicatella, and Gemella [21]—although in the latter case, this varies with age [39]—supporting the effect of brushing against primary dental plaque.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Costalonga M, Herzberg MC. The oral microbiome and the immunobiology of periodontal disease and caries. Immunol Lett. 2014;162:22–38. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationStreptococcus and Actinomyces are known to compete in the initial phases of dental plaque formation.
“For instance, in the case of stomatotype 1, we detected positive covariation of Fusobacterium and Capnocytophaga, both anaerobic bacteria implicated in dental plaque progression [33], while in stomatotype 2, we specifically detect antagonism between Streptococcus and Actinomyces, which are known to compete in the initial phases of dental plaque formation [32, 37].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [32] Jakubovics NS. Intermicrobial interactions as a driver for community composition and stratification of oral biofilms. J Mol Biol. 2015;427:3662–75. source
- cites [37] Dige I, Raarup MK, Nyengaard JR, Kilian M, Nyvad B. Actinomyces naeslundii in initial dental biofilm formation. Microbiology. 2009;155:2116–26. source
It may state two separate claims as one.
InterpretationreasoningThe observed abundance covariations in both stomatotypes may partly reflect underlying diversity of biofilm succession stages and would support the main axis of previously observed core community changes in dental plaque.
“Thus, the abundance covariations observed in both stomatotypes may partly reflect the underlying diversity of biofilm succession stages comprised in our samples and would support the main axis of previously observed core community changes in dental plaque.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [1] Kilian M, Chapple ILC, Hannig M, Marsh PD, Meuric V, Pedersen a ML, et al. The oral microbiome – an update for oral healthcare professionals. Bdj. 2016;221:657–66. source
- cites [32] Jakubovics NS. Intermicrobial interactions as a driver for community composition and stratification of oral biofilms. J Mol Biol. 2015;427:3662–75. source
- cites [33] Takeshita T, Yasui M, Shibata Y, Furuta M, Saeki Y, Eshima N, et al. Dental plaque development on a hydroxyapatite disk in young adults observed by using a barcoded pyrosequencing approach. Sci Rep 2015;5:8136. Available from: http://www.nature.com/articles/srep08136 source
- cites [34] Mahajan A, Singh B, Kashyap D, Kumar A, Mahajan P. Interspecies communication and periodontal disease. Sci World J. 2013;2013:765434 source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationEarlier studies using similar collection protocols and including plaque status or dental health have found correlations between microbial composition of saliva, amount of plaque, and diseases such as periodontitis or caries.
“However, earlier studies using similar collection protocols and including information on plaque status or dental health have found correlations between microbial composition of saliva, the amount of plaque and diseases such as periodontitis, or caries [5, 9, 35, 36].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [5] Belstrøm D, Constancias F, Liu Y, Yang L, Drautz-Moses DI, Schuster SC, et al. Metagenomic and metatranscriptomic analysis of saliva reveals disease-associated microbiota in patients with periodontitis and dental caries. NPJ Biofilms Microbiomes 2017;3:23. Available from: http://www.nature.com/articles/s41522-017-0031-4 source
- cites [9] Takeshita T, Kageyama S, Furuta M, Tsuboi H, Takeuchi K, Shibata Y, et al. Bacterial diversity in saliva and oral health-related conditions: the Hisayama study. Sci Rep. 2016;6:22164. source
- cites [35] Belstrøm D, Holmstrup P, Fiehn N-E, Kirkby N, Kokaras A, Paster BJ, et al. Salivary microbiota in individuals with different levels of caries experience. J Oral Microbiol Taylor & Francis. 2017;9:1270614. source
- cites [36] Zhou J, Jiang N, Wang S, Hu X, Jiao K, He X, et al. Exploration of human salivary microbiomes insights into the novel characteristics of microbial community structure in caries and caries-free subjects. PLoS One. 2016;11:e0147039. source
It may state two separate claims as one.
Interpretationown dataStrong co-occurrence links Leptotrichia, Actinomyces, and Prevotella, and Prevotella with Veillonella, suggesting they may be ecologically related.
“For instance, strong co-occurrence links Leptotrichia, Actinomyces, and Prevotella, and this latter one with Veillonella, suggesting they may be ecologically related.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationVeillonella species are known to increase their abundance in acidic environments derived from fermentation processes, such as those occurring in mature dental plaque.
“Veillonella species are known to increase their abundance in acidic environments derived from fermentation processes, such as those occurring in mature dental plaque [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Hajishengallis E, Parsaei Y, Klein MI, Koo H. Advances in the microbial etiology and pathogenesis of early childhood caries. Mol Oral Microbiol. 2017;32:24–34. source
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
Interpretationnone givenAdolescence is a stage with major hormonal and habit changes, which likely impact the oral microbial community.
“Adolescence is a stage with major hormonal and habit changes, which likely impact the oral microbial community.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe association of caries with Gemella varies with age.
“It is known that caries is generally associated with an increase of Streptococcus, but also of Granulicatella, and Gemella [21]—although in the latter case, this varies with age [39]—supporting the effect of brushing against primary dental plaque.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Holgerson PL, Öhman C, Rönnlund A, Johansson I. Maturation of oral microbiota in children with or without dental caries. PLoS One. 2015;10:e0128534. source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationSelenomonas has been described as one of the most abundant taxa during orthodontic braces treatment and has been linked to common oral diseases such as gingivitis.
“Selenomonas has been described as one of the most abundant taxa during orthodontic braces treatment and has been linked to common oral diseases such as gingivitis [19].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Koopman JE, van der Kaaij NCW, Buijs MJ, Elyassi Y, van der Veen MH, Crielaard W, et al. The effect of fixed orthodontic appliances and fluoride mouthwash on the oral microbiome of adolescents - a randomized controlled clinical trial. PLoS One 2015;10:e0137318. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26332408%5Cn http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4558009 source
It may state two separate claims as one.
Interpretationown dataThe geographical patterns were sometimes reminiscent of maps of certain public water quality parameters, such as alkalinity or water hardness, which differ significantly across regions in Spain.
“The patterns were sometimes reminiscent of maps of certain public water quality parameters, such as alkalinity or water hardness, which differ significantly across regions in Spain (Fig. 6).”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThe oral microbiome of adolescents may have specificities as a transition phase from childhood to adulthood.
“In addition, the oral microbiome of adolescents may have specificities as a transition phase from childhood to adulthood.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenMeasurements of saliva pH using pH strips lack the precision provided by a pH meter.
“Admittedly, measurements of saliva pH using pH strips—a limitation imposed in part by our citizen science approach—lack the precision provided by a pH meter (see “Materials and methods” section).”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationPorphyromonas is known to grow optimally in alkaline environments and is able to increase the pH of its medium.
“Higher oral pH was positively correlated with the abundance of Fusobacterium and Porphyromonas, a bacterial genus known to grow optimally in alkaline environments, and able to increase the pH of its medium [38].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Takahashi N, Schachtele CF. Effect of pH on the growth and proteolytic activity of Porphyromonas gingivalis and Bacteroides intermedius. J Dent Res. 1990;69:1266–9. source
Probably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationEnvironment is the main determinant of the oral microbiome, with differences between monozygotic and dizygotic twins not significant.
“This study suggested that environment is the main determinant of the oral microbiome with differences between mono- or di-zygotic twins not being significant.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Stahringer SS, Clemente JC, Corley RP, Hewitt J, Knights D, Walters WA, et al. Nurture trumps nature in a longitudinal survey of salivary bacterial communities in twins from early adolescence to early adulthood. Genome Res. 2012;22:2146–52. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAdolescence is associated with a sharp increase in the incidence and severity of gingivitis.
“In fact, this period of life is associated with a sharp increase in the incidence and severity of gingivitis [45], which may be related to underlying oral microbiome changes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Mombelli A, Gusberti FA, van Oosten MAC, Lang NP. Gingival health and gingivitis development during puberty: a 4-year longitudinal study. J Clin Periodontol. 1989;16:451–6. source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationBody mass index is generally associated with alterations in the gut microbiome and has been associated with changes in the oral microbiome in adults.
“Interestingly, some variables such as body mass index, which is generally associated to alterations in the gut microbiome, and it has been associated to changes in the oral microbiome in adults [44], seemed to have a minor impact on the mouth microbiome of adolescents in our sample.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Shillitoe E, Weinstock R, Kim T, Simon H, Planer J, Noonan S, et al. The oral microflora in obesity and type-2 diabetes. J Oral Microbiol 2012;4:19013. Available from: https://www.tandfonline.com/doi/full/10.3402/jom.v4i0.19013 source
It may state two separate claims as one.
Interpretationown dataTap water composition may be an important, poorly studied factor shaping the oral microbiome.
“These results suggest that tap water composition may be an important, poorly studied factor shaping the oral microbiome.”
- Also stated in: § Results · plain
“This points to an important role of drinking water in shaping the oral microbiota, which has been so far poorly explored.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
- Also stated in: § Results · plain
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationreasoningThe large differences between students and teachers may be related to age but also to their different lifestyle.
“These large differences may be related to age but also to their understandably different lifestyle.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Interpretationown dataThe stomatotypes are not discrete, well separated entities, but represent two poles of a gradient of microbial compositions.
“As we discuss below, these stomatotypes are not discrete, well separated entities, but rather represent two poles of a gradient of microbial compositions.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may state two separate claims as one.
Interpretationown dataThe results raise the question of the role of drinking water in shaping the oral microbiome, suggesting a potentially important role.
“Our results thus raise the question of the role of drinking water in shaping the oral microbiome, suggesting a potentially important role.”
Quote in the paperSubstantial claim- Rests on an assumption: The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
Probably not a substantial claim. It may state two separate claims as one.
Study design and conductcitationThe optimal number of clusters was determined using the Calinski-Harabasz index and further verified by average silhouette width and prediction strength.
“Next, we used the Calinski-Harabasz (CH) index [59] to determine the optimal number of clusters, and we further verified this by calculating the average silhouette width of the samples, which is a measure of the separation of samples within one cluster from those of another cluster, as well as the prediction strength, another measure of the efficiency of clustering.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] Calinski T, Harabasz J. A dendrite method for cluster analysis. Commun Stat - Theory Methods. 1974;3:1–27. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationcitationThe increase in gingivitis during adolescence may be related to underlying oral microbiome changes.
“In fact, this period of life is associated with a sharp increase in the incidence and severity of gingivitis [45], which may be related to underlying oral microbiome changes.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
Study design and conductown dataA PERMANOVA test on each beta diversity measure ensured significant separation of stomatotypes.
“Furthemore, the adonis function in the vegan package was used to perform a PERMANOVA test on each beta diversity measure to ensure significant separation of stomatotypes.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataTwo DNA samples from bacterial mock communities were used as controls for downstream procedures.
“As a control for downstream procedures, we also used two DNA samples derived from bacterial mock communities obtained from the BEI Resources of the Human Microbiome Project: Each sample contained genomic DNA of ribosomal operons from 20 bacterial species.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Study design and conductcitationThe saliva collection protocol had been previously tested and compared with other procedures during a pilot phase, and is used in other oral microbiome studies and shown to produce consistent results with other sampling procedures.
“Saliva samples were collected using a mouth wash and using a protocol that had been previously tested and compared with other procedures during a pilot phase of the project. Of note, this procedure is used in other oral microbiome studies and have been shown to produce consistent results with other sampling procedures [51].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] Lim Y, Totsika M, Morrison M, Punyadeera C. The saliva microbiome profiles are minimally affected by collection method or DNA extraction protocols. Sci Rep. 2017;7:8523. source
It may state two separate claims as one.
Study design and conductown dataNegative controls of sample collection buffer, DNA extraction, and PCR amplification were routinely performed and systematically provided no visible band or quantifiable DNA, and sequenced non-template controls yielded very few reads (30-880) versus average 54,000 reads/library in sample-derived libraries.
“Negative controls of the sample collection buffer, DNA extraction, and PCR amplification steps were routinely performed in parallel, using the same conditions and reagents. Our controls systematically provided no visible band or quantifiable DNA amounts by gel visualization or Bioanalyzer, whereas all of our samples provided clearly visible bands after 20 cycles.”
- Also stated in: § DNA extraction and sequencing · plain
“Four such controls were subjected to library preparation and sequenced. Expectedly, these sequenced non-template controls systematically yielded very few reads (a range of 30–880 reads per sample), in contrast to an average of 54,000 reads/library in sample-derived libraries.”
Quote in the paperNot a substantial claim- Also stated in: § DNA extraction and sequencing · plain
It may state two separate claims as one.
Study design and conductown datapH test strips were validated against a pH meter, showing high correlation (R2 = 0.96) and average absolute difference 0.33, within the method's limit of detection (0.5).
“Although the use of pH test strips have been validated extensively [50], we validated our chosen strips.”
- Also stated in: § Sample collection · plain
“The correlation was high (R2 = 0.96), with average absolute differences between the value of the pH meter and that provided by the researcher being 0.33 which is within the range of the limit of detection of the method (0.5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Cocco F, Cagetti MG, Lingstrom P, Camoni N, Campus G. The strip method and the microelectrode technique in assessing dental plaque pH. Minerva Stomatol. 2017;66:241–247. source
- Also stated in: § Sample collection · plain
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationExperiments in mice have shown that the composition of tap water can be related with changes in the gut microbiome and have an incidence in the progression of diseases such as diabetes.
“In this regard, experiments in mice have shown that the composition of tap water can be related with changes in the gut microbiome [47] and have an incidence in the progression of diseases such as diabetes [48].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [47] Dias MF, Reis MP, Acurcio LB, Carmo AO, Diamantino CF, Motta AM, et al. Changes in mouse gut bacterial community in response to different types of drinking water. Water Res. 2018;132:79–89. source
- cites [48] Wolf KJ, Daft JG, Tanner SM, Hartmann R, Khafipour E, Lorenz RG. Consumption of acidic water alters the gut microbiome and decreases the risk of diabetes in NOD mice. J Histochem Cytochem. 2014;62:237–50. source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductnone givenClustering was validated using all five distance measures to ensure proper clustering, but analyses here are performed using the clustering based on JSD.
“Clustering was validated using all five distance measures to ensure proper clustering, but analyses here are performed using the clustering based on JSD.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningThe described stomatotypes are common and globally distributed.
“the described stomatotypes are common and globally distributed does not preclude the possibility that further, clearly distinct, stomatotypes may be found in other populations.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductown dataOne hundred eighty samples from 5 schools were removed due to an apparent batch effect during sequencing, and 33 samples were removed due to sample identifier errors, leaving 1319 samples from 35 schools.
“One hundred eighty samples from 5 of the schools had to be removed due to an apparent batch effect during the sequencing procedure. This batch effect was detected in the initial quality assessment of the comparison of the data.”
- Also stated in: § Microbiome composition profiling · plain
“Additionally, 33 samples were removed from the analyses because of errors with the sample identifiers, leaving a total of 1319 samples from 35 different schools from around Spain.”
Quote in the paperNot a substantial claim- Also stated in: § Microbiome composition profiling · plain
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductcitationThe questionnaire questions were adapted from the PhenX toolkit, which provides recommended standard data collection protocols and has been recommended by the microbiome research community.
“These questions were adapted from questionnaires available at the PhenX toolkit (consensus measures for Phenotypes and eXposures), which provides recommended standard data collection protocols for conducting biomedical research [60] and which has been recommended by the microbiome research community [61].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [60] Hendershot T, Pan H, Haines J, Harlan WR, Marazita ML, CA MC, et al. Using the PhenX toolkit to add standard measures to a study. Curr Protoc Hum Genet. 2015;86:1.21.1–17. source
- cites [61] Huttenhower C, Knight R, Brown CT, Caporaso JG, Clemente JC, Gevers D, et al. Advancing the microbiome research community. Cell. 2014;159:227–30. source
It may state two separate claims as one.
Interpretationown dataTap water plays an important role in shaping the oral microbiome, which has been overlooked in previous studies.
“This points to an important role of tap water in shaping the oral microbiome, which has been overlooked in previous studies.”
Quote in the paperSubstantial claim- Rests on an assumption: The ionic composition of tap water from donors' hometowns, as obtained from national studies, reflects the tap water actually consumed by the donors.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductown dataAll participants and at least one parent or legal guardian for minors signed consent, and the project received ethics committee approval from the Barcelona Biomedical Research Park (PRBB).
“All participants, and at least one of their parents or legal guardians for those under the age of 18, signed a consent form to use their saliva samples for microbiome research. This consent form and the purpose of this project received approval by the ethics committee of the Barcelona Biomedical Research Park (PRBB).”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
PremisecitationPrevious studies have analyzed the relationship between the presence of fluoride and the incidence of caries, but the overall impact on the human oral microbiota of this and other factors remains unexplored.
“Previous studies have analyzed the relationship between the presence of fluoride and the incidence of caries [46], but the overall impact on the human oral microbiota of this and other factors remain unexplored.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Iheozor-Ejiofor Z, Worthington H V, Walsh T, O’Malley L, Clarkson JE, Macey R, et al. Water fluoridation for the prevention of dental caries. Cochrane Database Syst Rev. 2015. https://doi.org/10.1002/14651858.CD010856.pub2 . source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenThe specific pipeline and parameters were set using sequence reads from both 16S rRNA amplicon and whole genome sequencing of the described mock communities.
“The specific pipeline and parameters were set using sequence reads from both 16S rRNA amplicon and whole genome sequencing of the described mock communities.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Questionnaire responses accurately reflect participants' habits and health.
“Donors were asked to answer a questionnaire, including 54 questions [see Additional file 2], some of which proposed by citizens, about their health, and their dietary and hygiene habits.”
The paper relies on this without support.
The chemical composition of tap water in the nearest town represents the tap water consumed by participants.
“Hence, we decided to investigate this factor in more detail and linked our samples to the chemical composition of tap water of the nearest town, as reported in recent studies [40–42].”
The paper relies on this without support.
The ionic composition of tap water from donors' hometowns, as obtained from national studies, reflects the tap water actually consumed by the donors.
“Data on tap water hardness was obtained from several national ionic composition studies [40–42].”
The paper relies on this without support.
The questionnaire responses accurately reflect participants' diet and hygiene habits.
“Participants were asked to answer one questionnaire inquiring about aspects relevant to their hygiene and dietary habits. These questions were adapted from questionnaires available at the PhenX toolkit (consensus measures for Phenotypes and eXposures), which provides recommended standard data collection protocols for conducting biomedical research [60] and which has been recommended by the microbi”
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?
Willis et al. indicated a strong correlation between the composition of tap water and the prevalence of specific bacterial species.
“For example, research by Willis et al. indicated a strong correlation between the composition of tap water and the prevalence of specific bacterial species [11], highlighting the significant impact of drinking water on the oral microbiota.”
From Severity-dependent alterations in oral microbiota and antibiotic resistance in children with dental fluorosis (2026) · cites this paper as [11]
Long-term fluoride exposure in adolescents is associated with distinct oral microbial profiles and environmental influences such as drinking water.
“Willis et al. further demonstrated that long-term fluoride exposure in adolescents is associated with distinct oral microbial profiles and environmental influences such as drinking water [11].”
From Severity-dependent alterations in oral microbiota and antibiotic resistance in children with dental fluorosis (2026) · cites this paper as [11]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
The stated one-third sample threshold is too low
MinorThe paper reports 1,319 analyzed samples, so a genus would need to appear in at least 440 samples to meet a one-third threshold. The figure caption instead gives 436.
“this figure shows only the 67 genera which were present in at least 1/3 of all samples (436).”
“leaving a total of 1319 samples from 35 different schools from around Spain.”
Figure 3 caption excludes the negative correlations it says it displays
MinorThe Figure 3 caption says its network includes negative (blue) edges but specifies a cutoff of coefficients of 0.25 or greater, which excludes negative coefficients. The methods instead specify a cutoff of less than −0.25 for negative edges.
“Edges indicate significant positive (red) or negative (blue) correlations between indicated genera. Edge width is proportional to Pearson correlation coefficient. Only displaying edges for coefficients of 0.25 or greater.”
“edges are formed between only those genera that have a correlation coefficient greater than 0.25 or less than − 0.25 and an adjusted p value less than 0.05.”
Citations
Cites
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O’Hara, R. B., Sólymos, P., Stevens, M. H. H., Szöcs, E., et al. (2001) · doi:10.32614/cran.package.vegan · Cited by 27,099
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data
McMurdie, P. J., & Holmes, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061217 · Cited by 21,775
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 21,481
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glöckner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,682
A dendrite method for cluster analysis
Caliński, T., & Harabasz, J. (1974) · Communications in Statistics · doi:10.1080/03610927408827101 · Cited by 4,480
Reagent and laboratory contamination can critically impact sequence-based microbiome analyses
Salter, S. J., Cox, M. J., Turek, E. M., Calus, S. T., Cookson, W. O., Moffatt, M. F., Turner, P., Parkhill, J., Loman, N. J., & Walker, A. W. (2014) · BMC Biology · doi:10.1186/s12915-014-0087-z · Cited by 3,463
Occlusal Caries: Biological Approach for Its Diagnosis and Management
Carvalho, J. C., Dige, I., Mačhiulskienė, V., Qvist, V., Bakhshandeh, A., Parolo, C. C. F., & Maltz, M. (2016) · Caries Research · doi:10.1159/000448662 · Cited by 2,159
The oral microbiome in health and disease
Wade, W. G. (2013) · Pharmacological Research · doi:10.1016/j.phrs.2012.11.006 · Cited by 1,347
Defining the healthy “core microbiome” of oral microbial communities
Zaura, E., Keijser, B. J., Huse, S. M., & Crielaard, W. (2009) · BMC Microbiology · doi:10.1186/1471-2180-9-259 · Cited by 1,323
The oral microbiome – an update for oral healthcare professionals
Kilian, M., Chapple, I. L. C., Hannig, M., Marsh, P. D., Meuric, V., Pedersen, A. M. L., Tonetti, M. S., Wade, W. G., & Zaura, E. (2016) · British Dental Journal · doi:10.1038/sj.bdj.2016.865 · Cited by 1,269 · cited 3×
“In addition, given the close connections of the oral cavity with the vascular system and the digestive and respiratory tracks, alterations of the mouth microbiota have been related with diseases that affect other body parts, such as diabetes or cardiovascular disease [1, 4].”
BackgroundMorris, E. K., Caruso, T., Buscot, F., Fischer, M., Hancock, C., Maier, T. S., Meiners, T., Müller, C., Obermaier, E., Prati, D., et al. (2014) · Ecology and Evolution · doi:10.1002/ece3.1155 · Cited by 1,179
Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses
Callahan, B. J., Sankaran, K., Fukuyama, J., McMurdie, P. J., & Holmes, S. (2016) · F1000Research · doi:10.12688/f1000research.8986.2 · Cited by 1,131
The oral microbiome and the immunobiology of periodontal disease and caries
Costalonga, M., & Herzberg, M. C. (2014) · Immunology Letters · doi:10.1016/j.imlet.2014.08.017 · Cited by 645
Cigarette smoking and the oral microbiome in a large study of American adults
Wu, J., Peters, B. A., Dominianni, C., Zhang, Y., Pei, Z., Yang, L., Ma, Y., Purdue, M. P., Jacobs, E. J., Gapstur, S. M., et al. (2016) · The ISME Journal · doi:10.1038/ismej.2016.37 · Cited by 572 · cited 1×
“[11, 12], diet [13–16], or hygiene habits [17–19].”
Saliva in the diagnosis of diseases
Zhang, C.-Z., Cheng, X., Li, J., Zhang, P., Yi, P., Xu, X., & Zhou, X. (2016) · International Journal of Oral Science · doi:10.1038/ijos.2016.38 · Cited by 543
Knights, D., Ward, T. L., McKinlay, C. E., Miller, H., Gonzalez, A., McDonald, D., & Knight, R. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2014.09.013 · Cited by 396
Chen, H., & Jiang, W. (2014) · Frontiers in Microbiology · doi:10.3389/fmicb.2014.00508 · Cited by 317
The oral microbiome diversity and its relation to human diseases
He, J., Li, Y., Cao, Y., Xue, J., & Zhou, X. (2015) · Folia Microbiologica · doi:10.1007/s12223-014-0342-2 · Cited by 314
The oral microbiome and human health
Yamashita, Y., & Takeshita, T. (2017) · Journal of Oral Science · doi:10.2334/josnusd.16-0856 · Cited by 305
Bacterial diversity in saliva and oral health-related conditions: the Hisayama Study
Takeshita, T., Kageyama, S., Furuta, M., Tsuboi, H., Takeuchi, K., Shibata, Y., Shimazaki, Y., Akifusa, S., Ninomiya, T., Kiyohara, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep22164 · Cited by 284
Advances in the microbial etiology and pathogenesis of early childhood caries
Hajishengallis, E., Parsaei, Y., Klein, M. I., & Koo, H. (2017) · Molecular Oral Microbiology · doi:10.1111/omi.12152 · Cited by 261
Water fluoridation for the prevention of dental caries
Iheozor-Ejiofor, Z., Worthington, H. V., Walsh, T., O'Malley, L., Clarkson, J. E., Macey, R., Alam, R., Tugwell, P., Welch, V., & Glenny, A.-M. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010856.pub2 · Cited by 214
Microbiomes of Site-Specific Dental Plaques from Children with Different Caries Status
Richards, V. P., Alvarez, A. J., Luce, A. R., Bedenbaugh, M., Mitchell, M. L., Burne, R. A., & Nascimento, M. M. (2017) · Infection and Immunity · doi:10.1128/iai.00106-17 · Cited by 207
The effect of cigarette smoking on the oral and nasal microbiota
Yu, G., Phillips, S., Gail, M. H., Goedert, J. J., Humphrys, M. S., Ravel, J., Ren, Y., & Caporaso, N. E. (2017) · Microbiome · doi:10.1186/s40168-016-0226-6 · Cited by 186
Stahringer, S. S., Clemente, J. C., Corley, R. P., Hewitt, J., Knights, D., Walters, W. A., Knight, R., & Krauter, K. S. (2012) · Genome Research · doi:10.1101/gr.140608.112 · Cited by 180
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
On the ecosystemic network of saliva in healthy young adults
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., et al. (2017) · The ISME Journal · doi:10.1038/ismej.2016.199 · Cited by 142
Belstrøm, D., Constancias, F., Liu, Y., Yang, L., Drautz-Moses, D. I., Schuster, S. C., Kohli, G. S., Jakobsen, T. H., Holmstrup, P., & Givskov, M. (2017) · npj Biofilms and Microbiomes · doi:10.1038/s41522-017-0031-4 · Cited by 125
Lim, Y., Totsika, M., Morrison, M., & Punyadeera, C. (2017) · Scientific Reports · doi:10.1038/s41598-017-07885-3 · Cited by 119
Actinomyces naeslundii in initial dental biofilm formation
Dige, I., Raarup, M. K., Nyengaard, J. R., Kilian, M., & Nyvad, B. (2009) · Microbiology · doi:10.1099/mic.0.027706-0 · Cited by 115
Characterization of oral and gut microbiome temporal variability in hospitalized cancer patients
Galloway-Peña, J., Smith, D. P., Sahasrabhojane, P. V., Wadsworth, W. D., Fellman, B. M., Ajami, N. J., Shpall, E. J., Daver, N. G., Guindani, M., Petrosino, J. F., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0409-1 · Cited by 115
Advancements toward a systems level understanding of the human oral microbiome
McLean, J. S. (2014) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2014.00098 · Cited by 108
Jakubovics, N. S. (2015) · Journal of Molecular Biology · doi:10.1016/j.jmb.2015.09.022 · Cited by 107
Maturation of Oral Microbiota in Children with or without Dental Caries
Lif Holgerson, P., Öhman, C., Rönnlund, A., & Johansson, I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128534 · Cited by 97
Saliva: A diagnostic biomarker of periodontal diseases
Patil, P., & Patil, B. (2011) · Journal of Indian Society of Periodontology · doi:10.4103/0972-124x.92560 · Cited by 97
Kageyama, S., Takeshita, T., Asakawa, M., Shibata, Y., Takeuchi, K., Yamanaka, W., & Yamashita, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174782 · Cited by 92
Takahashi, N., & Schachtele, C. F. (1990) · Journal of Dental Research · doi:10.1177/00220345900690060801 · Cited by 83
Distinct composition of the oral indigenous microbiota in South Korean and Japanese adults
Takeshita, T., Matsuo, K., Furuta, M., Shibata, Y., Fukami, K., Shimazaki, Y., Akifusa, S., Han, D.-H., Kim, H., Yokoyama, T., et al. (2014) · Scientific Reports · doi:10.1038/srep06990 · Cited by 82
Jose, J. E., Padmanabhan, S., & Chitharanjan, A. B. (2013) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2013.02.023 · Cited by 78
Consumption of Acidic Water Alters the Gut Microbiome and Decreases the Risk of Diabetes in NOD Mice
Wolf, K. J., Daft, J. G., Tanner, S. M., Hartmann, R., Khafipour, E., & Lorenz, R. G. (2014) · Journal of Histochemistry & Cytochemistry · doi:10.1369/0022155413519650 · Cited by 76
Koopman, J. E., van der Kaaij, N. C. W., Buijs, M. J., Elyassi, Y., van der Veen, M. H., Crielaard, W., ten Cate, J. M., & Zaura, E. (2015) · PLOS ONE · doi:10.1371/journal.pone.0137318 · Cited by 74
The role of the commensal microbiota in the regulation of tolerance to dietary allergens
Canani, R. B., Gilbert, J. A., & Nagler‐Anderson, C. (2015) · Current Opinion in Allergy and Clinical Immunology · doi:10.1097/aci.0000000000000157 · Cited by 63
Takeshita, T., Yasui, M., Shibata, Y., Furuta, M., Saeki, Y., Eshima, N., & Yamashita, Y. (2015) · Scientific Reports · doi:10.1038/srep08136 · Cited by 58
Advancing the Microbiome Research Community
Huttenhower, C., Knight, R., Brown, C. T., Caporaso, J. G., Clemente, J. C., Gevers, D., Franzosa, E. A., Kelley, S. T., Knights, D., Ley, R. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.022 · Cited by 58
Gingival health and gingivitis development during puberty: A 4‐year longitudinal study
Mombelli, A., Gusberti, F. A., van Oosten, M. A. C., & Lang, N. P. (1989) · Journal of Clinical Periodontology · doi:10.1111/j.1600-051x.1989.tb01674.x · Cited by 57
Salivary microbiota in individuals with different levels of caries experience
Belstrøm, D., Holmstrup, P., Fiehn, N.-E., Kirkby, N., Kokaras, A., Paster, B. J., & Bardow, A. (2017) · Journal of Oral Microbiology · doi:10.1080/20002297.2016.1270614 · Cited by 54
Probing the diversity of healthy oral microbiome with bioinformatics approaches
Moon, J.-H., & Lee, J.-H. (2016) · BMB Reports · doi:10.5483/bmbrep.2016.49.12.164 · Cited by 53
Changes in mouse gut bacterial community in response to different types of drinking water
Dias, M. F., Reis, M. P., Acurcio, L. B., Carmo, A. O., Diamantino, C. F., Motta, A. M., Kalapothakis, E., Nicoli, J. R., & Nascimento, A. M. A. (2018) · Water Research · doi:10.1016/j.watres.2017.12.052 · Cited by 43
Zhou, J., Jiang, N., Wang, S., Hu, X., Jiao, K., He, X., Li, Z., & Wang, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147039 · Cited by 41
Klaus, K., Eichenauer, J., Sprenger, R., & Ruf, S. (2016) · Head & Face Medicine · doi:10.1186/s13005-016-0125-x · Cited by 39
The oral microflora in obesity and type-2 diabetes
Shillitoe, E., Weinstock, R., Kim, T., Simon, H., Planer, J., Noonan, S., & Cooney, R. (2012) · Journal of Oral Microbiology · doi:10.3402/jom.v4i0.19013 · Cited by 38
Cuervo, A., Hevia, A., López, P., Suárez, A., Diaz, C., Sánchez, B., Margolles, A., & González, S. (2016) · Food & Function · doi:10.1039/c5fo00853k · Cited by 32
Al-Mulla, A., Karlsson, L., Kharsa, S. A., Kjellberg, H., & Birkhed, D. (2010) · Acta Odontologica Scandinavica · doi:10.3109/00016357.2010.512863 · Cited by 29
Interspecies Communication and Periodontal Disease
Mahajan, A., Singh, B., Kashyap, D., Kumar, A., & Mahajan, P. (2013) · The Scientific World Journal · doi:10.1155/2013/765434 · Cited by 26
Using the PhenX Toolkit to Add Standard Measures to a Study
Hendershot, T., Pan, H., Haines, J., Harlan, W. R., Marazita, M. L., McCarty, C. A., Ramos, E. M., & Hamilton, C. M. (2015) · Current Protocols in Human Genetics · doi:10.1002/0471142905.hg0121s86 · Cited by 25
Maraver, F., Vitoria, I., Ferreira‐Pêgo, C., Castro, F. A., & Salas‐Salvadó, J. (2015) · PubMed · doi:10.3305/nh.2015.31.5.8589 · Cited by 23
Contenido en nitratos de aguas de consumo público españolas
Vitoria, I., Maraver, F., Sánchez‐Valverde, F., & Castro, F. A. (2015) · Gaceta Sanitaria · doi:10.1016/j.gaceta.2014.12.007 · Cited by 17
Fluoruro en aguas minerales naturales envasadas en España y prevención de la caries dental
Maraver, F., Vitoria, I., Almerich‐Silla, J. M., & Castro, F. A. (2014) · Atención Primaria · doi:10.1016/j.aprim.2014.04.003 · Cited by 16
The strip method and the microelectrode technique in assessing dental plaque pH
Cocco, F., Cagetti, M. G., Lingström, P., Camoni, N., & Campus, G. (2017) · Minerva Dental and Oral Science · doi:10.23736/s0026-4970.17.04093-6 · Cited by 1
Flagged first, then by citations
Research works printed but not linked: 1
- Maraver F, Vitoria Miñana I, Ferreira-Pêgo C, Armijo F, Salas-Salvadó J. Magnesio en el agua de consume público y aguas minerales naturals en España y su contribución en cubrir las necesidades nutricionales. Nutr Hosp. 2015;31:2297–312.
Cited by
Sorted by citations
Prevotella Diversity, Niches and Interactions with the Human Host
Tett, A., Pasolli, E., Masetti, G., Ercolini, D., & Segata, N. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00559-y · Cited by 748
The Human Oral Microbiome in Health and Disease: From Sequences to Ecosystems
Willis, J. R., & Gabaldón, T. (2020) · Microorganisms · doi:10.3390/microorganisms8020308 · Cited by 493
Self-citationMa, Z., Zuo, T., Frey, N., & Rangrez, A. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01946-6 · Cited by 322
Alterations in the Gut Virome in Obesity and Type 2 Diabetes Mellitus
Yang, K., Niu, J., Zuo, T., Sun, Y., Xu, Z., Tang, W., Liu, Q., Zhang, J., Ng, E. K., Wong, S. K., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2021.06.056 · Cited by 209
Resilience of the oral microbiome
Wade, W. G. (2021) · Periodontology 2000 · doi:10.1111/prd.12365 · Cited by 205
Oral microbiome and pregnancy: A bidirectional relationship
Saadaoui, M., Singh, P., & Khodor, S. A. (2021) · Journal of Reproductive Immunology · doi:10.1016/j.jri.2021.103293 · Cited by 184
Patterns of Oral Microbiota Diversity in Adults and Children: A Crowdsourced Population Study
Burcham, Z. M., Garneau, N. L., Comstock, S. S., Tucker, R. M., Knight, R., Metcalf, J. L., Scientists, G. O. T. L. C., Miranda, A., Reinhart, B., Meyers, D., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-59016-0 · Cited by 183
Christensen, L., Vuholm, S., Roager, H. M., Nielsen, D. S., Krych, L., Kristensen, M., Astrup, A., & Hjorth, M. F. (2019) · The Journal of Nutrition · doi:10.1093/jn/nxz198 · Cited by 162
Acquisition and establishment of the oral microbiota
Kaan, A. M., Kahharova, D., & Zaura, E. (2021) · Periodontology 2000 · doi:10.1111/prd.12366 · Cited by 155
Insight into the function and evolution of the Wood–Ljungdahl pathway in Actinobacteria
Jiao, J., Fu, L., Hua, Z., Liu, L., Salam, N., Liu, P., Lv, A.-P., Wu, G., Xian, W.-D., Zhu, Q., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-00935-9 · Cited by 155
Skin microbiome modulation induced by probiotic solutions
Paetzold, B., Willis, J. R., de Lima, J. P., Knödlseder, N., Brüggemann, H., Quist, S., Gabaldón, T., & Güell, M. (2019) · Microbiome · doi:10.1186/s40168-019-0709-3 · Cited by 140
Self-citationA shared core microbiome in soda lakes separated by large distances
Zorz, J., Sharp, C. E., Kleiner, M., Gordon, P. M. K., Pon, R. T., Dong, X., & Strous, M. (2019) · Nature Communications · doi:10.1038/s41467-019-12195-5 · Cited by 135
Simpson, C. A., Adler, C. J., du Plessis, M. R., Landau, E. R., Dashper, S. G., Reynolds, E. C., Schwartz, O., & Simmons, J. G. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113126 · Cited by 118
Zaura, E., Pappalardo, V. Y., Buijs, M. J., Volgenant, C. M. C., & Brandt, B. W. (2020) · Periodontology 2000 · doi:10.1111/prd.12359 · Cited by 108
The Oral Microbiome in Periodontal Health
Lenartova, M., Tesinska, B., Janatova, T., Hrebicek, O., Myšák, J., Janata, J., & Najmanová, L. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.629723 · Cited by 107
Armed to the Teeth—The Oral Mucosa Immunity System and Microbiota
Ptasiewicz, M., Grywalska, E., Mertowska, P., Korona‐Głowniak, I., Poniewierska-Baran, A., Niedźwiedzka‐Rystwej, P., & Chałas, R. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23020882 · Cited by 107
Oral Microbiota Composition Predicts Early Childhood Caries Onset
Grier, A., Myers, J. A., O’Connor, T. G., Quivey, R. G., Gill, S. R., & Kopycka‐Kędzierawski, D. T. (2020) · Journal of Dental Research · doi:10.1177/0022034520979926 · Cited by 104
The oral-gut microbiota axis: a link in cardiometabolic diseases
Xu, Q., Wang, W., Li, Y., Cui, J., Zhu, M., Liu, Y., & Liu, Y. (2025) · npj Biofilms and Microbiomes · doi:10.1038/s41522-025-00646-5 · Cited by 82
Negrini, T. D. C., Carlos, I. Z., Duque, C., Caiaffa, K. S., & Arthur, R. A. (2021) · Frontiers in Oral Health · doi:10.3389/froh.2021.697428 · Cited by 80
Vanhaecke, T., Bretin, O., Poirel, M., & Tap, J. (2021) · Journal of Nutrition · doi:10.1093/jn/nxab312 · Cited by 79
Sex-Based Diverse Plaque Microbiota in Children with Severe Caries
de Jesus, V. C., Shikder, R., Oryniak, D., Mann, K., Alamri, A., Mittermuller, B.-A., Duan, K., Hu, P., Schroth, R. J., & Chelikani, P. (2020) · Journal of Dental Research · doi:10.1177/0022034520908595 · Cited by 74
Citizen-science reveals changes in the oral microbiome in Spain through age and lifestyle factors
Willis, J. R., Saus, E., Iraola‐Guzmán, S., Księżopolska, E., Cozzuto, L., Bejarano, L. A., Andreu, N., Alloza-Trabado, M., Blanco, A., Puig-Sola, A., et al. (2022) · npj Biofilms and Microbiomes · doi:10.1038/s41522-022-00279-y · Cited by 73
Self-citationCapo, É., Bravo, A. G., Soerensen, A. L., Bertilsson, S., Pinhassi, J., Feng, C., Andersson, A. F., Buck, M., & Björn, E. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.574080 · Cited by 72
Alterations of Oral Microbiota in Chinese Patients With Esophageal Cancer
Zhao, Q., Yang, T., Yan, Y., Zhang, Y., Li, Z., Wang, Y., Yang, H. J., Xia, Y., Xiao, H., Han, H., et al. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.541144 · Cited by 72
Microbial dark matter filling the niche in hypersaline microbial mats
Wong, H. L., MacLeod, F. I., White, R. A., III, Visscher, P. T., & Burns, B. P. (2020) · Microbiome · doi:10.1186/s40168-020-00910-0 · Cited by 70
Relvas, M., Regueira‐Iglesias, A., Balsa‐Castro, C., Salazar, F., Pacheco, J. J., Cabral, C. T., de Henriques, C. V., & Tomás, I. (2021) · Scientific Reports · doi:10.1038/s41598-020-79875-x · Cited by 67
Sex differences in the oral microbiome, host traits, and their causal relationships
Liu, X., Tong, X., Jie, Z., Zhu, J., Tian, L., Sun, Q., Ju, Y., Zou, L., Lu, H., Qiu, X., et al. (2022) · iScience · doi:10.1016/j.isci.2022.105839 · Cited by 68
Enrichetti, F., Dominguez‐Carrió, C., Toma, M., Bavestrello, G., Betti, F., Canese, S., & Bo, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223949 · Cited by 63
New Insights Into the Physiopathology of COVID-19: SARS-CoV-2-Associated Gastrointestinal Illness
Devaux, C. A., Lagier, J., & Raoult, D. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.640073 · Cited by 62
Oral microbiome variations related to ageing: possible implications beyond oral health
Kazarina, A., Kuzmicka, J., Bortkevica, S., Zayakin, P., Ķimsis, J., Igumnova, V., Sadovska, D., Freimane, L., Kivrāne, A., Namiņa, A., et al. (2023) · Archives of Microbiology · doi:10.1007/s00203-023-03464-5 · Cited by 59
Microbial enrichment and storage for metagenomics of vaginal, skin, and saliva samples
Ahannach, S., Delanghe, L., Spacova, I., Wittouck, S., Beeck, W. V., Boeck, I. D., & Lebeer, S. (2021) · iScience · doi:10.1016/j.isci.2021.103306 · Cited by 56
Malan‐Müller, S., Vidal, R., O’Shea, E., Montero, E., Figuero, E., Zorrilla, E. P., de Diego-Adeliño, J., Cano, M., García‐Portilla, M. P., González-Pinto, A. M., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03122-4 · Cited by 56
Comparative Analysis of Intestine Microbiota of Four Wild Waterbird Species
Laviad‐Shitrit, S., Izhaki, I., Lalzar, M., & Halpern, M. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01911 · Cited by 55
Characterization of the Oral Microbiome of Medicated Type-2 Diabetes Patients
Almeida-Santos, A. C., Martins‐Mendes, D., Gayà‐Vidal, M., Pérez-Pardal, L., & Beja‐Pereira, A. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.610370 · Cited by 54
Onywera, H., Williamson, A., Cozzuto, L., Bonnin, S., Mbulawa, Z. Z. A., Coetzee, D. J., Ponomarenko, J. V., & Meiring, T. L. (2020) · BMC Microbiology · doi:10.1186/s12866-020-01759-x · Cited by 53
Self-citationAlterations in the Oral Microbiome Associated With Diabetes, Overweight, and Dietary Components
Shaalan, A., Lee, S., Féart, C., García‐Esquinas, E., Gómez-Cabrero, D., López‐García, E., Morzel, M., Neyraud, E., Rodríguez‐Artalejo, F., Streich, R., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.914715 · Cited by 52
Conkling, M., Hesp, K., Munroe, S., Sandoval, K., Martens, D. E., Sipkema, D., Wijffels, R. H., & Pomponi, S. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-53643-y · Cited by 51
Trends in forensic microbiology: From classical methods to deep learning
Yuan, H., Wang, Z., Wang, Z., Zhang, F., Guan, D., & Zhao, R. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1163741 · Cited by 50
Arastehfar, A. A., Khodavaisy, S., Daneshnia, F., Najafzadeh, M. J., Mahmoudi, S., Charsizadeh, A., Salehi, M., Zarrinfar, H., Raeisabadi, A., Dolatabadi, S., et al. (2019) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2019.00264 · Cited by 49
Stothart, M. R., Greuel, R. J., Gavriliuc, S., Henry, A., Wilson, A. J., McLoughlin, P. D., & Poissant, J. (2020) · Molecular Ecology · doi:10.1111/mec.15747 · Cited by 49
Effects 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
Response of the human gut and saliva microbiome to urbanization in Cameroon
Lokmer, A., Aflalo, S., Amougou, N., Lafosse, S., Froment, A., Tabe, F. E., Poyet, M., Groussin, M., Said-Mohamed, R., & Ségurel, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-59849-9 · Cited by 46
Hoque, M. N., Rahman, M. S., Ahmed, R., Hossain, M. S., Islam, M. S., Crandall, K. A., Islam, T., Hossain, M. A., & Siddiki, A. Z. (2021) · Gene Reports · doi:10.1016/j.genrep.2021.101200 · Cited by 46
Wang, J., Feng, J., Zhu, Y., Li, D., Wang, J., & Chi, W. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.931065 · Cited by 46
Development and application of aerobic, chemically defined media for Dysgonomonas
Bridges, C. M., & Gage, D. J. (2020) · Anaerobe · doi:10.1016/j.anaerobe.2020.102302 · Cited by 43
Ömeroğlu, E. E., Sudağıdan, M., Yurt, M. N. Z., Taşbaşi, B. B., Acar, E. E., & Özalp, V. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-97980-3 · Cited by 41
Nwokolo, N. L., Enebe, M. C., Chigor, C. B., Chigor, V. N., & Dada, O. A. (2021) · Rhizosphere · doi:10.1016/j.rhisph.2021.100372 · Cited by 38
Khannous‐Lleiffe, O., Willis, J. R., Saus, E., Moreno, V. R., Castellvı́-Bel, S., & Gabaldón, T. (2022) · Cancers · doi:10.3390/cancers15010120 · Cited by 36
Self-citationAlEraky, D. M., Madi, M. I., Tantawi, M. E., AlHumaid, J., Fita, S., AbdulAzeez, S., Borgio, J. F., Al‐Harbi, F. A., & Alagl, A. S. (2021) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2021.08.052 · Cited by 34
Oral microbiome in down syndrome and its implications on oral health
Willis, J. R., Iraola‐Guzmán, S., Saus, E., Księżopolska, E., Cozzuto, L., Bejarano, L. A., Andreu, N., Alloza-Trabado, M., Puig-Sola, A., Blanco, A., et al. (2020) · Journal of Oral Microbiology · doi:10.1080/20002297.2020.1865690 · Cited by 32
Self-citationBody site-specific microbiota reflect sex and age-class among wild spotted hyenas
Rojas, C. A., Holekamp, K. E., Winters, A. D., & Theis, K. R. (2020) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiaa007 · Cited by 32
The Healthy Oral Microbiome: A Changing Ecosystem throughout the Human Lifespan
Corrêa, J. D., Carlos, P. P. S., Faria, G. A., Pacheco, L. C. R., Costa, V. S., Mendes, I. R. R., de Oliveira, A. B., & Colombo, A. P. V. (2024) · Journal of Dental Research · doi:10.1177/00220345241297583 · Cited by 30
Forné, Á. F., Anaya, M. J. G., Guillot, S. J. S., Andrade, I. P., la Peña-Fernández, L. D., Ocón, M. J. L., Lupiañez-Perez, Y., Queipo‐Ortuño, M. I., & Gómez‐Millán, J. (2023) · Oral Oncology · doi:10.1016/j.oraloncology.2023.106488 · Cited by 30
Yao, T., Han, X., Guan, T., Zhai, C., Liu, C., Liu, C., Zhu, B., & Chen, L. (2020) · International Journal of Legal Medicine · doi:10.1007/s00414-020-02329-6 · Cited by 29
Ma, D., Chen, B., Li, Y., Pang, X., Fu, Q., Xiao, Z., Shi, Z., Li, X., Luo, C., Zhou, Z., et al. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202102682 · Cited by 29
Bowyer, R. C. E., Schillereff, D. N., Jackson, M. A., Roy, C. I. L., Wells, P. M., Spector, T. D., & Steves, C. J. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139697 · Cited by 28
McDonough, L. K., Meredith, K., Nikagolla, C., Middleton, R. J., Tan, J. K., Ranasinghe, A. V., Sierro, F., & Banati, R. B. (2020) · Scientific Reports · doi:10.1038/s41598-020-75336-7 · Cited by 28
Sinha, R. R., Zhao, N., Goedert, J. J., Byrd, D. A., Wan, Y., Hua, X., Hullings, A. G., Knight, R. D., van Breda, S. G., Mathijs, K., et al. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111084 · Cited by 28
Merk, V. M., Phan, T. S., & Brunner, T. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.672808 · Cited by 27
Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral Carcinogenesis
Chen, J.-W., Wu, J., Chiang, W.-F., Chen, Y., Wu, W.-S., & Wu, L. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.663068 · Cited by 26
Kim, D., Jeong, Y. J., Lee, Y., Choi, J., Park, Y. M., Kwon, O. C., Ji, Y. W., Ahn, S. J., Lee, H. K., Park, M., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.874285 · Cited by 24
Microbial characteristics across different tongue coating types in a healthy population
Chen, H., Li, Q., Li, M., Liu, S., Yao, C., Wang, Z., Zhao, Z., Liu, P., Yang, F., Li, X., et al. (2021) · Journal of Oral Microbiology · doi:10.1080/20002297.2021.1946316 · Cited by 23
Lu, C., Zhu, H., Zhao, D., Zhang, J., Yang, K., Lv, Y., Miao, P., Xu, X., Huang, J., Shao, Z., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.787143 · Cited by 23
Arastehfar, A. A., Daneshnia, F., Farahyar, S., Fang, W., Salimi, M., Salehi, M., Hagen, F., Weihua, P., Roudbary, M., & Boekhout, T. (2019) · Journal of Oral Microbiology · doi:10.1080/20002297.2019.1601061 · Cited by 23
Oral microbiome diversity and diet quality in relation to mortality
Shen, J., Chen, H., Zhou, X., Huang, Q., Garay, L. G., Zhao, M., Qian, S., Zong, G., Yan, Y., Wang, X., et al. (2024) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.14050 · Cited by 21
Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
Yang, Q., Franco, C. M. M., & Zhang, W. Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-42694-w · Cited by 20
Development and establishment of oral microbiota in early life
Kageyama, S., & Takeshita, T. (2024) · Journal of Oral Biosciences · doi:10.1016/j.job.2024.05.001 · Cited by 19
Willis, J. R., Saus, E., Iraola‐Guzmán, S., Cabello-Yeves, E., Księżopolska, E., Cozzuto, L., Bejarano, L. A., Andreu, N., Alloza-Trabado, M., Blanco, A., et al. (2021) · Journal of Oral Microbiology · doi:10.1080/20002297.2021.1897328 · Cited by 19
Self-citationCitizen science as an instrument for women’s health research
Ahannach, S., Hoyweghen, I. V., Verhoeven, V., & Lebeer, S. (2024) · Nature Medicine · doi:10.1038/s41591-024-03371-2 · Cited by 18
Metabolic pathway prediction of core microbiome based on enterotype and orotype
Lee, S. H., Lee, H. B., You, H. S., Sung, H.-J., & Hyun, S. H. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1173085 · Cited by 18
Microbial community alteration in tongue squamous cell carcinoma
Ye, P., Liu, Y., Cai, Y.-J., Yang, H., Xu, H., & Lu, Z.-Y. (2021) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-021-11593-4 · Cited by 18
Dumitru, C. N., Mariana, L., Budacu, C. C., Mitea, G., Radu, M. D., Dumitru, A. O., Lupoae, A., Tatu, A., & Topor, G. (2025) · Dentistry Journal · doi:10.3390/dj13050222 · Cited by 17
Seasonal Niche Partitioning of Surface Temperate Open Ocean Prokaryotic Communities
Mena, C., Reglero, P., Balbín, R., Martín, M., Santiago, R., & Sintes, E. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01749 · Cited by 17
Ahannach, S., Spacova, I., Decorte, R., Jehaes, E., & Lebeer, S. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.694447 · Cited by 17
Diurnal changes of the oral microbiome in patients with alcohol dependence
Li, X., Zhao, K., Chen, J., Ni, Z., Yu, Z., Hu, L., Qin, Y., Zhao, J., Peng, W., Lü, L., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.1068908 · Cited by 17
Feys, S., Cardinali‐Benigni, M., Lauwers, H. M., Jacobs, C., Stevaert, A., Gonçalves, S. M., Cunha, C., Debaveye, Y. A., Hermans, G., Heylen, J., et al. (2024) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202401-0145oc · Cited by 16
Self-citationSun, H., Zhou, Q., Qiao, P., Zhu, D., Xin, B., Wu, B., & Tang, C. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1056637 · Cited by 15
Detection of blaOXA-1, blaTEM-1, and Virulence Factors in E. coli Isolated From Seals
Vale, A. P., Shubin, L., Cummins, J., Leonard, F. C., & Barry, G. (2021) · Frontiers in Veterinary Science · doi:10.3389/fvets.2021.583759 · Cited by 15
Standardized studies of the oral microbiome: From technology‐driven to hypothesis‐driven
Gao, C., Li, X., Zhao, X., Yang, P., Wang, X., Chen, X., Chen, N., & Chen, F. (2022) · iMeta · doi:10.1002/imt2.19 · Cited by 15
Kalu, C. M., Rauwane, M. E., & Ntushelo, K. (2021) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2021.696196 · Cited by 13
Rothman, J. A., Riis, J. L., Hamilton, K. R., Blair, C., Granger, D. A., & Whiteson, K. (2023) · mSystems · doi:10.1128/msystems.00036-23 · Cited by 13
Çınar, S., & Mutlu, M. B. (2020) · Microbiology · doi:10.1134/s0026261720060028 · Cited by 13
Tang, X., Zhang, L., Ren, S., Zhao, Y., & Zhang, Y. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.00020-23 · Cited by 12
The Microbiome as Part of the Contemporary View of Tuberculosis Disease
Barbosa-Amezcua, M., Galeana-Cadena, D., Alvarado-Peña, N., & Silva‐Herzog, E. (2022) · Pathogens · doi:10.3390/pathogens11050584 · Cited by 12
Olate, P., Martínez, A., Sans-Serramitjana, E., Cortés, M., Díaz, R., Hernández, G., Paz, E. A., Sepúlveda, N., & Quiñones, J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26167983 · Cited by 11
Menghi, L., Cliceri, D., Fava, F., Pindo, M., Gaudioso, G., Giacalone, D., & Gasperi, F. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113072 · Cited by 11
Ye, Q., Zhao, Y., Zhao, J., Ouyang, Z., Feng, Y., Hu, J., Hu, J., Chen, N., Chen, N., Tan, L., et al. (2024) · Microbes and Infection · doi:10.1016/j.micinf.2024.105316 · Cited by 10
Achieving pan-microbiome biological insights via the dbBact knowledge base
Amir, A., Ozel, E., Haberman, Y., & Shental, N. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad527 · Cited by 10
Araújo, V., Fehn, A., Phiri, A., Wills, J., Rocha, J., & Gayà‐Vidal, M. (2023) · BMC Microbiology · doi:10.1186/s12866-023-02970-2 · Cited by 10
The adolescent and young adult microbiome and its association with substance use: a scoping review
Browning, B. D., Kirkland, A. E., Green, R., Engevik, M. A., Alekseyenko, A. V., Leggio, L., Tomko, R. L., & Squeglia, L. M. (2023) · Alcohol and Alcoholism · doi:10.1093/alcalc/agad055 · Cited by 10
Establishment of tongue microbiota by 18 months of age and determinants of its microbial profile
Kageyama, S., Ma, J., Furuta, M., Takeshita, T., Asakawa, M., Okabe, Y., & Yamashita, Y. (2023) · mBio · doi:10.1128/mbio.01337-23 · Cited by 10
Can dietary intake protect against low-grade inflammation in children and adolescents?
Bujtor, M. (2021) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2021.100369 · Cited by 10
Mangal, U., Noh, K., Lee, S., Cha, J., Song, J. S., Cha, J., Lee, K., Kim, K., Kwon, J., & Choi, S. (2023) · Journal of Periodontal Research · doi:10.1111/jre.13098 · Cited by 9
The making of the oral microbiome in Agta hunter–gatherers
Dobón, B., Musciotto, F., Mira, Á., Greenacre, M. J., Schlaepfer, R., Aguileta, G., Astete, L. H., Ngales, M. L., Latora, V., Battiston, F., et al. (2023) · Evolutionary Human Sciences · doi:10.1017/ehs.2023.9 · Cited by 9
Interaction of microbiota, mucosal malignancies, and immunotherapy—Mechanistic insights
Mager, L. F., Krause, T., & McCoy, K. D. (2024) · Mucosal Immunology · doi:10.1016/j.mucimm.2024.03.007 · Cited by 8
Characteristics of tongue images and tongue coating bacteria in patients with colorectal cancer
Zheng, W., Wu, Y., Chu, J., Congjian, J., Zhanbo, Q., Nianga, J.-M., Wang, L., Zefeng, W., Jiaqun, H., Xiaojian, Y., et al. (2025) · BMC Microbiology · doi:10.1186/s12866-025-04014-3 · Cited by 8
Khannous‐Lleiffe, O., Willis, J. R., Saus, E., Cabrera-Aguilera, I., Almendros, I., Farré, R., Gozal, D., Farré, N., & Gabaldón, T. (2021) · Microorganisms · doi:10.3390/microorganisms9030641 · Cited by 8
Self-citationCharacterization of microbiota signatures in Iberian pig strains using machine learning algorithms
Azouggagh, L., Ibáñez‐Escriche, N., Martínez-Álvaro, M., Varona, L., Casellas, J., Negro, S., & Casto‐Rebollo, C. (2025) · Animal Microbiome · doi:10.1186/s42523-025-00378-z · Cited by 7
de Oliveira, B. F. R., Cavalcanti, M. D., Nunes, S. D. O., Lobo, L. A., Domingues, R. M. C. P., Muricy, G. R. D. S., & Laport, M. S. (2019) · Current Microbiology · doi:10.1007/s00284-019-01684-x · Cited by 7
Wang, J., Li, D., Wang, J., & Zhang, Z. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/732123 · Cited by 7
Metadata
- Authors
- 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., Onywera, H., Montfort, M., Hermoso, A., Iraola-Guzmán, S., Saus, E., Labeeuw, A., Carolis, C., Hecht, J., Ponomarenko, J., & Gabaldón, T.
- Affiliations
- Barcelona Institute of Science and Technology (ES)
- University of Cape Town (ZA)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Corresponding author
- Gabaldón, Toni
- ORCID
- Venue
- Microbiome
- Published
- 2018-12
- Volume
- 6
- Issue
- 1
- Pages
- 218-218
- ISSN
- 2049-2618 (ISSN-L)
- PMC
- PMC6284318
- OpenAlex
- W2901982083
- Cited by
- 158
- References
- 61
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 19 · 2023: 20 · 2022: 15 · 2021: 37 · 2020: 24 · 2019: 13
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Microbiome (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Open University of Cape Town (University of Cape Town) (submittedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
- Funders
- Secretaría de Estado de Investigación, Desarrollo e Innovación (BFU2015-67107)
- Ministerio de Economía, Industria y Competitividad, Gobierno de España (SEV-2012-02-08)
- “la Caixa” Foundation (Saca la Lengua)
- Topics
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › General Dentistry › Dental Health and Care Utilization
- Keywords
- oral microbiota, adolescents, tap water, Neisseria, Prevotella, diet and lifestyle, oral hygiene, socioeconomic factors, 16S rRNA gene profiling, citizen science, microbial community composition
- MeSH terms
- School Teachers, Adolescent, Adult, Bacteria, DNA, Bacterial, DNA, Ribosomal, Feeding Behavior, Humans, Hygiene, Life Style, Mouth, Neisseria, Phylogeny, RNA, Ribosomal, 16S, Spain, Sequence Analysis, DNA, Prevotella, Metagenomics, Drinking Water
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.
A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
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