Evidence map›Paper›PMID 38318352›Full record

ArticleiScience2024

Spatially and temporally resolved metabolome of the human oral cavity.

Alessio Ciurli, Yassene Mohammed, Christine Ammon, Rico J E Derks, Damien Olivier-Jimenez, Quinten R Ducarmon, Marije Slingerland, Jacques Neefjes, Martin Giera

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

9 authors.

Alessio CiurliOncode Institute and Cell and Chemical Biology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Yassene MohammedCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Christine AmmonCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Rico J E DerksCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Damien Olivier-JimenezCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Quinten R DucarmonStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Marije SlingerlandDepartment of Medical Oncology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Jacques NeefjesOncode Institute and Cell and Chemical Biology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Martin GieraCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saliva is a complex bodily fluid composed of secretions by major and minor salivary glands. Salivary glands and their secretions are known to be unevenly distributed in the human oral cavity. Moreover, saliva flow rate and composition vary across locations and time of the day. This remarkable heterogeneity of salivary secretions suggests that different subtypes of saliva fulfill different functions. By coupling a non-invasive and facile collection method with comprehensive metabolomic profiling, we investigated the spatial and temporal distributions of salivary components. We identified location-specific metabolite profiles, novel oscillating metabolites, and location-specific diurnal patterns. In summary, our study paves the way for a deeper and more comprehensive understanding of the complex dynamics and functionalities of the salivary metabolome and its integration in multi-omics studies related to oral and systemic (patho-)physiology.

Indexed as

Biological constraintsBiomoleculesMetabolomicsOral medicine

Identifiers

PMID38318352
PMCPMC10839270

What OpenQuestion holds

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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 OpenQuestion graph.