Evidence map›Paper›PMID 35173205›Full record

ArticleScientific reports2022

Dietary carbohydrate intake is associated with the subgingival plaque oral microbiome abundance and diversity in a cohort of postmenopausal women.

Amy E Millen, Runda Dahhan, Jo L Freudenheim, Kathleen M Hovey, Lu Li, Daniel I McSkimming, Chris A Andrews, Michael J Buck, Michael J LaMonte, Keith L Kirkwood and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Amy E MillenDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214-8001, USA. aemillen@buffalo.edu.
Runda DahhanDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214-8001, USA.
Jo L FreudenheimDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214-8001, USA.
Kathleen M HoveyDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214-8001, USA.
Lu LiDepartment of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY, USA.
Daniel I McSkimmingDivision of Infectious Disease & International Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Chris A AndrewsDepartment of Ophthalmology & Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
Michael J BuckDepartment of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Michael J LaMonteDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214-8001, USA.
Keith L KirkwoodDepartment of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY, USA.
Yijun SunDepartment of Microbiology and Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Vijaya MurugaiyanDepartment of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Maria TsompanaDepartment of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Jean Wactawski-WendeDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214-8001, USA.
University at Buffalo, State University of New York · USUniversity of Michigan–Ann Arbor · USUniversity of South Florida · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Oral Microbiome and Periodontitis: A Prospective Study in Postmenopausal WomenR01DE024523 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2014 to 2018
$3.8M
BONE MINERAL DENSITY AS A PREDICTOR OF PERIODONTITISR01DE013505 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2002 to 2005
$1.9M
VANGUARD CENTER FOR WOMEN'S HEALTH INITIATIVEN01WH032122 · WH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI TREVISAN, MAURIZIO · 1993 to 2000
$927k
Women's Health InitiativeN01WH32122 · WH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2008 to 2009
$609k
NCATS NIH HHS UL1 TR001412NHLBI NIH HHS N01WH32122NIDCR NIH HHS R01 DE013505NIDCR NIH HHS R01 DE024523WHI NIH HHS N01 WH032122
6 · The paper itself

Abstract

Limited research exists on carbohydrate intake and oral microbiome diversity and composition assessed with next-generation sequencing. We aimed to better understand the association between habitual carbohydrate intake and the oral microbiome, as the oral microbiome has been associated with caries, periodontal disease, and systemic diseases. We investigated if total carbohydrates, starch, monosaccharides, disaccharides, fiber, or glycemic load (GL) were associated with the diversity and composition of oral bacteria in subgingival plaque samples of 1204 post-menopausal women. Carbohydrate intake and GL were assessed from a food frequency questionnaire, and adjusted for energy intake. The V3-V4 region of the 16S rRNA gene from subgingival plaque samples were sequenced to identify the relative abundance of microbiome compositional data expressed as operational taxonomic units (OTUs). The abundance of OTUs were centered log(2)-ratio transformed to account for the compositional data structure. Associations between carbohydrate/GL intake and microbiome alpha-diversity measures were examined using linear regression. PERMANOVA analyses were conducted to examine microbiome beta-diversity measures across quartiles of carbohydrate/GL intake. Associations between intake of carbohydrates and GL and the abundance of the 245 identified OTUs were examined by using linear regression. Total carbohydrates, GL, starch, lactose, and sucrose intake were inversely associated with alpha-diversity measures. Beta-diversity across quartiles of total carbohydrates, fiber, GL, sucrose, and galactose, were all statistically significant (p for PERMANOVA p < 0.05). Positive associations were observed between total carbohydrates, GL, sucrose and Streptococcus mutans; GL and both Sphingomonas HOT 006 and Scardovia wiggsiae; and sucrose and Streptococcus lactarius. A negative association was observed between lactose and Aggregatibacter segnis, and between sucrose and both TM7_[G-1] HOT 346 and Leptotrichia HOT 223. Intake of total carbohydrate, GL, and sucrose were inversely associated with subgingival bacteria alpha-diversity, the microbial beta-diversity varied by their intake, and they were associated with the relative abundance of specific OTUs. Higher intake of sucrose, or high GL foods, may influence poor oral health outcomes (and perhaps systemic health outcomes) in older women via their influence on the oral microbiome.

Indexed as

MicrobiotaPostmenopauseAgedAged, 80 and overBiodiversityDental PlaqueDietary CarbohydratesEatingFemaleGingivaHigh-Throughput Nucleotide SequencingHumansMiddle AgedOral HealthProspective StudiesDietary Carbohydrates

Identifiers

PMID35173205
PMCPMC8850494
OpenAlexW4212914984

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.