Evidence map›Paper›PMID 24692635›Full record

ArticlemBio2014

Metatranscriptomics of the human oral microbiome during health and disease.

Peter Jorth, Keith H Turner, Pinar Gumus, Nejat Nizam, Nurcan Buduneli, Marvin Whiteley

Open access · goldAbstract read
In one paragraph

Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed, 1 pooled it
37.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

204 citing papers in PubMed, 1 synthesis or guideline pooled it, 385 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Unraveling the oral microbiome's role in Alzheimer's disease: From pathophysiology to therapeutic potential.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  11. MedComm · 2025
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

144 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Peter Jorth
Keith H Turner
Pinar Gumus
Nejat Nizam
Nurcan Buduneli
Marvin Whiteley
The University of Texas at Austin · USEge University · TR

Funding

Probing Polymicrobial Synergy Using hihg Throughout GenomicsR01DE023193 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI LAMONT, RICHARD J, WHITELEY, MARVIN · 2013 to 2023
$4.7M
Metabolite sensing in a polymicrobial infectionR01DE020100 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI WHITELEY, MARVIN · 2011 to 2022
$3.3M
Characterizing regulatory RNAs in oral polymicrobial communityF31DE021633 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI JORTH, PETER ALLAN · 2011 to 2013
$98k
NIDCR NIH HHS 1R01DE020100NIDCR NIH HHS 5F31DE021633-02NIDCR NIH HHS F31 DE021633NIDCR NIH HHS R01 DE020100NIDCR NIH HHS R01 DE023193
6 · The paper itself

Abstract

The human microbiome plays important roles in health, but when disrupted, these same indigenous microbes can cause disease. The composition of the microbiome changes during the transition from health to disease; however, these changes are often not conserved among patients. Since microbiome-associated diseases like periodontitis cause similar patient symptoms despite interpatient variability in microbial community composition, we hypothesized that human-associated microbial communities undergo conserved changes in metabolism during disease. Here, we used patient-matched healthy and diseased samples to compare gene expression of 160,000 genes in healthy and diseased periodontal communities. We show that health- and disease-associated communities exhibit defined differences in metabolism that are conserved between patients. In contrast, the metabolic gene expression of individual species was highly variable between patients. These results demonstrate that despite high interpatient variability in microbial composition, disease-associated communities display conserved metabolic profiles that are generally accomplished by a patient-specific cohort of microbes. IMPORTANCE The human microbiome project has shown that shifts in our microbiota are associated with many diseases, including obesity, Crohn's disease, diabetes, and periodontitis. While changes in microbial populations are apparent during these diseases, the species associated with each disease can vary from patient to patient. Taking into account this interpatient variability, we hypothesized that specific microbiota-associated diseases would be marked by conserved microbial community behaviors. Here, we use gene expression analyses of patient-matched healthy and diseased human periodontal plaque to show that microbial communities have highly conserved metabolic gene expression profiles, whereas individual species within the community do not. Furthermore, disease-associated communities exhibit conserved changes in metabolic and virulence gene expression.

Indexed as

MetagenomeMicrobiotaTranscriptomeAdultDysbiosisFemaleHumansMaleMouthPeriodontitis

Identifiers

PMID24692635
PMCPMC3977359
OpenAlexW2146975236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.