Evidence map›Paper›PMID 33387070›Full record

SynthesisMetabolomics : Official journal of the Metabolomic Society2021

Salivary metabolomics for the diagnosis of periodontal diseases: a systematic review with methodological quality assessment.

Giacomo Baima, Giovanni Iaderosa, Filippo Citterio, Silvia Grossi, Federica Romano, Giovanni N Berta, Nurcan Buduneli, Mario Aimetti

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
6.2field-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.

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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Giacomo BaimaDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy. giacomo.baima@gmail.com.ORCID http://orcid.org/0000-0002-9395-4967
Giovanni IaderosaDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.
Filippo CitterioDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0002-4513-7479
Silvia GrossiDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.
Federica RomanoDepartment of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0002-5172-299X
Giovanni N BertaDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0002-3263-9349
Nurcan Buduneli *Department of Periodontology, School of Dentistry, Ege University, İzmir, Turkey.ORCID http://orcid.org/0000-0002-1590-5801
Mario Aimetti *Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0003-0657-0787
University of Turin · ITEge University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly diagnosis of periodontitis by means of a rapid, accurate and non-invasive method is highly desirable to reduce the individual and epidemiological burden of this largely prevalent disease.

objectivesThe aims of the present systematic review were to examine potential salivary metabolic biomarkers and pathways associated to periodontitis, and to assess the accuracy of salivary untargeted metabolomics for the diagnosis of periodontal diseases.

methodsRelevant studies identified from MEDLINE (PubMed), Embase and Scopus databases were systematically examined for analytical protocols, metabolic biomarkers and results from the multivariate analysis (MVA). Pathway analysis was performed using the MetaboAnalyst online software and quality assessment by means of a modified version of the QUADOMICS tool.

resultsTwelve studies met the inclusion criteria, with sample sizes ranging from 19 to 130 subjects. Compared to periodontally healthy individuals, valine, phenylalanine, isoleucine, tyrosine and butyrate were found upregulated in periodontitis patients in most studies; while lactate, pyruvate and N-acetyl groups were the most significantly expressed in healthy individuals. Metabolic pathways that resulted dysregulated are mainly implicated in inflammation, oxidative stress, immune activation and bacterial energetic metabolism. The findings from MVA revealed that periodontitis is characterized by a specific metabolic signature in saliva, with coefficients of determination ranging from 0.52 to 0.99.

conclusionsThis systematic review summarizes candidate metabolic biomarkers and pathways related to periodontitis, which may provide opportunities for the validation of diagnostic or predictive models and the discovery of novel targets for monitoring and treating such a disease (PROSPERO CRD42020188482).

Indexed as

BiomarkersHumansLiquid BiopsyMetabolic Networks and PathwaysMetabolomicsOxidative StressPeriodontal DiseasesReference ValuesSalivaBiomarkersBiomarkersDiagnosisMetabolitesMetabolomicsPeriodontitis

Identifiers

PMID33387070
OpenAlexW3116353401

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.