Evidence map›Paper›PMID 39620241›Full record

SynthesisJournal of periodontal research2025

Salivary Proteomics for Detecting Novel Biomarkers of Periodontitis: A Systematic Review.

Matteo Corana, Giacomo Baima, Giovanni Iaderosa, Francesco Franco, Jianjian Zhang, Giovanni Nicolao Berta, Federica Romano, Mario Aimetti

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of periodontal research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

Matteo CoranaDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.
Giacomo BaimaDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0002-9395-4967
Giovanni IaderosaDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.
Francesco FrancoDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Jianjian ZhangDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Giovanni Nicolao BertaDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Federica RomanoDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0002-5172-299X
Mario AimettiDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0003-0657-0787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimSalivary content is regarded as a powerful diagnostic window for oral and systemic diseases and the proteomic profile could be useful to distinguish between different periodontal conditions. The aim of the present systematic review was to assess distinctive salivary proteins identified through untargeted proteomics in periodontitis patients compared to periodontally healthy and gingivitis subjects, as well as to provide a qualitative methodological assessment of the current literature.

methodsRelevant studies identified from Medline via PubMed, Scopus, Embase, and Cochrane Library databases were retrieved to answer the following PECO question: "In systemically healthy individuals, are there any differences in salivary protein expression profiles assessed in proteomics studies between patients with periodontitis and periodontally healthy or gingivitis subjects?" Moreover, diagnostic utility of the identified markers was sought via a targeted literature search and further quantitative assessment. A modified version of the QUADAOMICS tool was used for the quality assessment of the included studies.

resultsAfter screening 461 relevant articles, a total of 13 studies were selected. The number of identified discriminant salivary proteins ranged from 2 to 4161. However, it was possible to identify proteins that were consistently over- or under-expressed in periodontitis patients in at least 3 studies. Among these, complement C3, profilin-1, SA100A8, and fibrinogen were consistently reported as increased in periodontitis, while cystatin-SN and leukocyte elastase inhibitor were more elevated in periodontally healthy controls. Only 4 studies reported diagnostic accuracy measures, with SA100A8 showing an area under the curve of 0.71 (95% CI: 0.66-0.75) in meta-analysis.

conclusionsUntargeted proteomics techniques identified some key biological molecules which were consistently reported to be over- or under-expressed in periodontitis. These findings could be useful to support novel candidate biomarkers for periodontitis. The high level of heterogeneity in methods and reporting urge to develop standardized protocols to be implemented in this research field (PROSPERO CRD42022299826).

Indexed as

BiomarkersPeriodontitisProteomicsSalivaSalivary Proteins and PeptidesGingivitisHumansBiomarkersSalivary Proteins and Peptidesbiomarkersdiagnosisinflammationperiodontal diseasesproteins

Identifiers

PMID39620241
PMCPMC12371805

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.