Evidence map›Paper›PMID 42082094›Full record

ArticleJournal of dentistry2026

Tooth loss is associated with subsequent brain white matter degradation up to over a decade.

Qu Tian, Xiang Qi, Erin E Greig, Bennett A Landman, Christos Davatzikos, Susan M Resnick, Bei Wu, Luigi Ferrucci

Abstract read
In one paragraph

Article in Journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Qu TianTranslational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, NIH, Baltimore, MD, USA. Electronic address: qu.tian@nih.gov.
Xiang QiRory Meyers College of Nursing, New York University, New York, NY, USA.
Erin E GreigTranslational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, NIH, Baltimore, MD, USA.
Bennett A LandmanDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Christos DavatzikosRadiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Baltimore, Maryland, USA.
Bei WuRory Meyers College of Nursing, New York University, New York, NY, USA.
Luigi FerrucciTranslational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, NIH, Baltimore, MD, USA.

Funding

Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

objectivesTooth loss is linked to cognitive impairment and cognitive decline in older adults. Whether tooth loss is associated with loss of brain structure is unknown, particularly with respect to white matter integrity, which is vulnerable to inflammation and vascular pathology.

methodsWe examined the associations between clinically assessed tooth loss and subsequent changes in brain atrophy and microstructural integrity over an average follow-up of 4.8 (SD=3.6) years in 375 Baltimore Longitudinal Study of Aging participants (mean age=65.5 years, 53.6% women, average tooth loss: 3) using linear mixed-effects models, adjusted for age, sex, race, and scanner site. Brain volumes and microstructural integrity were assessed via 3T MRI volumetric scans and DTI, respectively, over up to 12 years between 2008 and 2020.

resultsMore tooth loss was cross-sectionally associated with a larger 4th ventricle, smaller brain volumes in temporal areas, greater deep white matter signal abnormalities, and lower white matter integrity in the corpus callosum. Longitudinally, each tooth loss was associated with a faster increase in diffusivity in the corpus callosum and corona radiata (all p < 0.01), suggesting loss of microstructural integrity. Tooth loss was also associated with higher white blood cell counts, neutrophil counts, and erythrocyte sedimentation rate, greater increases in white blood cell and neutrophil counts and greater decrease in albumin over time (all p < 0.05). Adjustment for these markers did not alter the associations with neuroimaging outcomes.

conclusionTooth loss may indicate subsequent white matter degradation, independent of inflammation markers. Future studies are warranted to elucidate the biological mechanisms driving these associations. CLINICAL SIGNIFICANCE: Within aging, tooth loss may indicate an unfavorable brain structure which overlaps with the Alzheimer's disease signature and indicate long-term degradation of white matter integrity and increased inflammation.

Indexed as

BrainTooth LossWhite MatterAgedAgingAtrophyCross-Sectional StudiesDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedAgingBrain healthInflammationNeuroimagingTooth loss

Identifiers

PMID42082094
PMCPMC13220283

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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.