Evidence map›Paper›PMID 29610270›Full record

ArticleMolecular & cellular proteomics : MCP2018

Targeted Proteomics Guided by Label-free Quantitative Proteome Analysis in Saliva Reveal Transition Signatures from Health to Periodontal Disease.

Nagihan Bostanci, Nathalie Selevsek, Witold Wolski, Jonas Grossmann, Kai Bao, Asa Wahlander, Christian Trachsel, Ralph Schlapbach, Veli Özgen Öztürk, Beral Afacan and 2 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06957509 (Salivary Metaproteome as a Prediction Tool in Early Childhood Caries), which is not on this map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
6.1field-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.

NCT06957509 recruitingnot on this mapstarted 2025, after this paper: background citation

Salivary Metaproteome as a Prediction Tool in Early Childhood Caries

TypeobservationalSponsorKarolinska InstitutetRan2025 to 2027Enrolled100ConditionsEarly Childhood Caries (ECC)
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

12 authors at 6 institutions in 3 countries.

Nagihan BostanciFrom the ‡Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden; nagihan.bostanci@ki.se.
Nathalie Selevsek§Functional Genomics Center Zürich, University of Zürich/ETH Zürich, Zürich, Switzerland.
Witold Wolski§Functional Genomics Center Zürich, University of Zürich/ETH Zürich, Zürich, Switzerland.
Jonas Grossmann§Functional Genomics Center Zürich, University of Zürich/ETH Zürich, Zürich, Switzerland.
Kai BaoFrom the ‡Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
Asa Wahlander¶AstraZeneca Translational Biomarkers and Bioanalysis, Drug Safety and Metabolism, Innovative Medicines, Mölndal, Sweden.
Christian Trachsel§Functional Genomics Center Zürich, University of Zürich/ETH Zürich, Zürich, Switzerland.
Ralph Schlapbach§Functional Genomics Center Zürich, University of Zürich/ETH Zürich, Zürich, Switzerland.
Veli Özgen Öztürk‖Department of Periodontology, School of Dentistry, Adnan Menderes University, Aydin, Turkey.
Beral Afacan‖Department of Periodontology, School of Dentistry, Adnan Menderes University, Aydin, Turkey.
Gulnur Emingil**Department of Periodontology, School of Dentistry, Ege University, Izmir, Turkey.
Georgios N BelibasakisFrom the ‡Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
ETH Zurich · CHKarolinska Institutet · SEAdnan Menderes University · TRUniversity of Zurich · CHAstraZeneca (Sweden) · SEEge University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontal diseases are among the most prevalent worldwide, but largely silent, chronic diseases. They affect the tooth-supporting tissues with multiple ramifications on life quality. Their early diagnosis is still challenging, due to lack of appropriate molecular diagnostic methods. Saliva offers a non-invasively collectable reservoir of clinically relevant biomarkers, which, if utilized efficiently, could facilitate early diagnosis and monitoring of ongoing disease. Despite several novel protein markers being recently enlisted by discovery proteomics, their routine diagnostic application is hampered by the lack of validation platforms that allow for rapid, accurate and simultaneous quantification of multiple proteins in large cohorts. Here we carried out a pipeline of two proteomic platforms; firstly, we applied open ended label-free quantitative (LFQ) proteomics for discovery in saliva (

Indexed as

AdultArea Under CurveBiomarkersHumansMiddle AgedPeriodontal DiseasesProtein Interaction MapsProteomeProteomicsReproducibility of ResultsSalivaSalivary Proteins and PeptidesStaining and LabelingYoung AdultBiomarkersProteomeSalivary Proteins and Peptidesagressive periodontitisBiofluids*Biomarker: DiagnosticBiomarker: Prognosticchronic periodontitisDiagnosticHost-Pathogen InteractionInfectious diseaseInflammationInflammatory responseLabel-free quantificationoral biofluidsperiodontal diseasesalivaSelected reaction monitoring

Identifiers

PMID29610270
PMCPMC6030726
OpenAlexW2795780297

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.