Evidence map›Paper›PMID 39394967›Full record

ArticleJournal of clinical periodontology2025

Association Between Dietary Patterns and Subgingival Microbiota: Results From the Oral Infections, Glucose Intolerance, and Insulin Resistance Study (ORIGINS).

Rebecca L Molinsky, Abigail J Johnson, Lisa Marotz, Sumith Roy, Bruno Bohn, Charlene E Goh, Ching-Yuan Chen, Bruce Paster, Rob Knight, Jeanine Genkinger and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical periodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

13 authors.

Rebecca L MolinskyDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-9564-0147
Abigail J JohnsonDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Lisa MarotzDepartment of Pediatrics, University of California, San Diego, La Jolla, California, USA.
Sumith RoyDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Bruno BohnDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-8961-6968
Charlene E GohFaculty of Dentistry, National University of Singapore, Singapore.ORCID 0000-0002-2208-5397
Ching-Yuan ChenDivision of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, College of Dental Medicine, Columbia University, New York, New York, USA.
Bruce PasterDepartment of Microbiology, Forsyth Institute, Cambridge, Massachusetts, USA.
Rob KnightDepartment of Computer Science and Engineering, Jacobs School of Engineering, University of California san Diego, La Jolla, California, USA.
Jeanine GenkingerDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.ORCID 0000-0002-8438-0412
Panos N PapapanouDivision of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, Columbia University, New York, New York, USA.ORCID 0000-0002-6538-3618
David R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Ryan T DemmerDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-3429-0379

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Cardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PAMELA L. Lutsey, JAMES S PANKOW · 1994 to 2026
$9.3M
The Subgingival Microbiome and Impaired Glucose RegulationR01DK102932 · NIDDK · UNIVERSITY OF MINNESOTA · PI DEMMER, RYAN T. · 2015 to 2019
$3.1M
Periodontal Infections and Type 2 Diabetes Mellitus RiskR00DE018739 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEMMER, RYAN T. · 2010 to 2014
$783k
Subgingival microbial community structure and insulin resistanceR21DE022422 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEMMER, RYAN T. · 2012 to 2013
$432k
Periodontal Infections and Type 2 Diabetes Mellitus RiskK99DE018739 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEMMER, RYAN T. · 2008 to 2009
$180k
Diabetes and Endocrinology Research Center, College of Physicians and Surgeons DK-63608NCATS NIH HHS UL1 TR001873NHLBI NIH HHS T32 HL007779NIDCR NIH HHS K99 DE018739NIDCR NIH HHS R00 DE018739NIDCR NIH HHS R21 DE022422NIDDK NIH HHS R01 DK102932NIH HHS R00 DE018739NIH HHS R01 DK 102932NIH HHS R21 DE022422NIH HHS T32HL007779NIH HHS UL1TR001873
6 · The paper itself

Abstract

objectiveTo study the association between dietary patterns and subgingival microbiota.

methodsParticipants (n = 651) who were enrolled in the Oral Infections, Glucose Intolerance, and Insulin Resistance Study (ORIGINS) with subgingival plaque sampling (n = 890 plaques) and a dietary assessment were included. 16S rRNA gene amplicon sequences of subgingival plaque from sites with either probing depth <4 or ≥4 mm were processed separately and used to obtain α-diversity metrics (Faith, Shannon, Simpson, Observed) and taxa ratios (Red Complex to Corynebacterium [RCLR], Treponema to Corynebacterium [TCLR], and Treponema to Neisseria [TNLR]). Food frequency questionnaires (FFQs) were processed to calculate Alternate Healthy Eating Index (AHEI) and A Priori Diet Quality Score (APDQS) scores. Mixed regression models examined the mean levels of microbial metrics across quartiles of diet quality. Means ± standard errors are reported along with p-values.

resultsIn multivariable models assessing the association between diet scores and α-diversity metrics, higher AHEI values were significantly associated with lower Faith (p-value = 0.01) and Observed (p-value = 0.04) diversity values; similar findings were observed for APDQS (p-value = 0.01, p-value = 0.04). In multivariable models assessing the association between diet scores (AHEI and APDQS) and taxa ratios (RCLR, TCLR and TNLR), as the AHEI quartile increased, all taxa ratios decreased significantly as follows: -1.06 ± 0.093 in Q1 to -1.34 ± 0.099 in Q4 (RCLR), -0.43 ± 0.077 in Q1 to -0.64 ± 0.083 in Q4 (TCLR) and -0.09 ± 0.083 in Q1 to -0.38 ± 0.089 in Q4 (TNLR), respectively. In contrast, as the APDQS quartiles increased, only TNLR decreased significantly from -0.08 ± 0.085 in Q1 to -0.34 ± 0.091 in Q4.

conclusionDiets rich in fruits, vegetables, whole grains and other nutritionally rich plant foods are associated with lower oral microbial diversity and favourable ratios of pathogenic to commensal microbiota.

Indexed as

Glucose IntoleranceMicrobiotaAdultCorynebacteriumDental PlaqueDietFemaleGingivaHumansInsulin ResistanceMaleMiddle AgedRNA, Ribosomal, 16STreponemaRNA, Ribosomal, 16Sdietmicrobial diversityoral microbiomesubgingival plaqueα‐diversity

Identifiers

PMID39394967
PMCPMC11671169

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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.