Evidence map›Paper›PMID 39794871›Full record

ArticleMicrobiome2025

Salivary proteomics and metaproteomics identifies distinct molecular and taxonomic signatures of type-2 diabetes.

Diana Samodova, Evelina Stankevic, Mathilde Sonne Søndergaard, Naiyu Hu, Tarunveer S Ahluwalia, Daniel R Witte, Daniel Belstrøm, Anniek Frederike Lubberding, Pratik D Jagtap, Torben Hansen and 1 more

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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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

11 authors.

Diana SamodovaNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark.
Evelina StankevicNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark.
Mathilde Sonne SøndergaardDepartment of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark.
Naiyu HuNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark.
Tarunveer S AhluwaliaSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, Herlev, 2730, Denmark.
Daniel R WitteDepartment of Public Health, Aarhus University, Bartholins Allé 2, Building 1260, Aarhus, 8000, Denmark.
Daniel BelstrømSection for Clinical Oral Microbiology, Department of Odontology, University of Copenhagen, Nørre Allé 20, Copenhagen, 2200, Denmark.
Anniek Frederike LubberdingDepartment of Biomedical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark.
Pratik D JagtapDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, 420 Washington Ave SE, Minneapolis, MN, 55455, USA.
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark. torben.hansen@sund.ku.dk.
Atul S DeshmukhNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark. atul.deshmukh@sund.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSaliva is a protein-rich body fluid for noninvasive discovery of biomolecules, containing both human and microbial components, associated with various chronic diseases. Type-2 diabetes (T2D) imposes a significant health and socio-economic burden. Prior research on T2D salivary microbiome utilized methods such as metagenomics, metatranscriptomics, 16S rRNA sequencing, and low-throughput proteomics.

resultsWe conducted ultrafast, in-depth MS-based proteomic and metaproteomic profiling of saliva from 15 newly diagnosed T2D individuals and 15 age-/BMI-matched healthy controls (HC). Using state-of-the-art proteomics, over 4500 human and bacterial proteins were identified in a single 21-min run. Bioinformatic analysis revealed host signatures of altered immune-, lipid-, and glucose-metabolism regulatory systems, increased oxidative stress, and possible precancerous changes in T2D saliva. Abundance of peptides for bacterial genera such as Neisseria and Corynebacterium were altered showing biomarker potential, offering insights into disease pathophysiology and microbial applications for T2D management.

conclusionsThis study presents a comprehensive mapping of salivary proteins and microbial communities, serving as a foundational resource for enhancing understanding of T2D pathophysiology. The identified biomarkers hold promise for advancing diagnostics and therapeutic approaches in T2D and its associated long-term complication Video Abstract.

Indexed as

BacteriaDiabetes Mellitus, Type 2ProteomeProteomicsSalivaSalivary Proteins and PeptidesAdultAgedBacterial ProteinsBiomarkersCase-Control StudiesComputational BiologyFemaleHumansMaleMicrobiotaBacterial ProteinsBiomarkersProteomeRNA, Ribosomal, 16SSalivary Proteins and PeptidesBiomarkerDIA-PASEFGenusMetaproteomicsMicrobiomePeptideProteinSalivaType-2 diabetes

Identifiers

PMID39794871
PMCPMC11720885

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.