Evidence map›Paper›PMID 40050445›Full record

ArticleCommunications medicine2025

Oral microbiome diversity associates with carotid intima media thickness in middle-aged male subjects.

Ramin Akhi, Anton Lavrinienko, Miia Hakula, Leo Tjäderhane, Rasmus Hindström, Antti Nissinen, Chunguang Wang, Juha Auvinen, Arja M Kullaa, Pekka Ylöstalo and 4 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. OralJournal of oral microbiology · 2026
    Article
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  10. Article
  11. Review
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.

Ramin AkhiMedical Microbiology and Immunology, Research Unit of Biomedicine and Internal Medicine, University of Oulu, Oulu, Finland. ramin.akhi@oulu.fi.ORCID http://orcid.org/0000-0003-1783-5330
Anton LavrinienkoLaboratory of Food Systems Biotechnology, Institute of Food, Nutrition and Health, ETH Zürich, Zürich, Switzerland.
Miia HakulaMedical Microbiology and Immunology, Research Unit of Biomedicine and Internal Medicine, University of Oulu, Oulu, Finland.
Leo TjäderhaneOral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland.
Rasmus HindströmEcology and Genetics Research Unit, University of Oulu, Oulu, Finland.
Antti NissinenMedical Microbiology and Immunology, Research Unit of Biomedicine and Internal Medicine, University of Oulu, Oulu, Finland.ORCID http://orcid.org/0000-0003-4771-2753
Chunguang WangMedical Microbiology and Immunology, Research Unit of Biomedicine and Internal Medicine, University of Oulu, Oulu, Finland.ORCID http://orcid.org/0000-0001-5569-321X
Juha AuvinenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Arja M KullaaInstitute of Dentistry, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0001-8198-8185
Pekka YlöstaloResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Tuula SaloOral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland.
Kari KaikkonenMedical Microbiology and Immunology, Research Unit of Biomedicine and Internal Medicine, University of Oulu, Oulu, Finland.
Janne J Koskimäki *Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland.ORCID http://orcid.org/0000-0001-8241-3500
Sohvi Hörkkö *Medical Microbiology and Immunology, Research Unit of Biomedicine and Internal Medicine, University of Oulu, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there have been significant advancements in reducing the burden of cardiovascular disease (CVD) by modifying traditional CVD risk factors, substantial risks persist, particularly among male subjects who exhibit heightened susceptibility to atherosclerosis. In this context, we aim to study the link between oral microbiome and carotid intima media thickness (cIMT).

methodsThe Northern Finland Birth Cohort of 1966 (mean age 46 years, n = 869) underwent an extensive health examination, including the measurement of cIMT. The oral microbiome was also investigated using high-throughput 16S rRNA gene sequencing.

resultsHere we show that oral microbiome diversity links with atherosclerosis risk factors, namely smoking, glycemic balance, low-grade inflammation, and periodontitis. After excluding CVD-influencing factors (n = 339), oral microbiome genera (p = 0.030), Shannon index (p = 0.001), β-diversity Bray-Curtis (p < 0.001), and Jaccard (p < 0.001) are associated with cIMT in males, but not in the female sub-cohort. Furthermore, in the male sub-cohort (n = 131), the genera Prevotella, Megasphaera, and Veillonella associate positively with cIMT, while Absconditabacteria, Capnocytophaga, Gemella, Fusobacterium, Neisseria, Aggregatibacter, Tannerella, Treponema, Cardiobacterium, and Bacteroidales associate inversely with cIMT. We examine the involvement of serum total immunoglobulins and antibodies to phosphorylcholine (PCho) and malondialdehyde-acetaldehyde LDL (MAA-LDL) with cIMT. Subjects with high cIMT have lower levels of serum total IgA (p = 0.009), IgA to PCho (p = 0.017), and IgG to PCho (p = 0.008). The relative abundance of cIMT-associated genera correlates with serum IgA antibodies.

conclusionsThis middle-aged birth cohort study shows that male oral microbiome diversity links to cIMT, suggesting a potential sex-specific interaction between the oral microbiome and atherosclerosis.

Identifiers

PMID40050445
PMCPMC11885836

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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.