Evidence map›Paper›PMID 28516971›Full record

ReviewActa otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale2017

Salivary biomarkers and proteomics: future diagnostic and clinical utilities.

M Castagnola, E Scarano, G C Passali, I Messana, T Cabras, F Iavarone, G Di Cintio, A Fiorita, E De Corso, G Paludetti

Abstract readReview
In one paragraph

Review in Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. miR-185 in salivary extracellular vesicles for early diagnosis of malignant transformation in oral leukoplakia: a clinical study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  8. Review
  9. Review
  10. Evaluation of Salivary GAPDH as a Predictor Biomarker for Periodontitis.International journal of molecular sciences · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Exploring the Healing Powers of Histatins: From Oral Health to Therapeutics.International journal of molecular sciences · 2025
    Review
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

6 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

10 authors.

M CastagnolaInstitute of Biochemistry and Clinical Biochemistry, Catholic University, Rome, Istituto di Chimica del Riconoscimento Molecolare C.N.R. Rome, Italy.
E ScaranoDepartment of Head and Neck Surgery, "A. Gemelli" Hospital Foundation, Catholic University, Rome, Italy.
G C PassaliDepartment of Head and Neck Surgery, "A. Gemelli" Hospital Foundation, Catholic University, Rome, Italy.
I MessanaLife and Enviromental Sciences Department, University of Cagliari, and Istituto di Chimica del Riconoscimento Molecolare C.N.R. Rome, Italy.
T CabrasLife and Enviromental Sciences Department, University of Cagliari, Italy.
F IavaroneInstitute of Biochemistry and Clinical Biochemistry, Catholic University, Rome, Italy.
G Di CintioDepartment of Head and Neck Surgery, "A. Gemelli" Hospital Foundation, Catholic University, Rome, Italy.
A FioritaDepartment of Head and Neck Surgery, "A. Gemelli" Hospital Foundation, Catholic University, Rome, Italy.
E De CorsoDepartment of Head and Neck Surgery, "A. Gemelli" Hospital Foundation, Catholic University, Rome, Italy.
G PaludettiDepartment of Head and Neck Surgery, "A. Gemelli" Hospital Foundation, Catholic University, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saliva testing is a non-invasive and inexpensive test that can serve as a source of information useful for diagnosis of disease. As we enter the era of genomic technologies and -omic research, collection of saliva has increased. Recent proteomic platforms have analysed the human salivary proteome and characterised about 3000 differentially expressed proteins and peptides: in saliva, more than 90% of proteins in weight are derived from the secretion of three couples of "major" glands; all the other components are derived from minor glands, gingival crevicular fluid, mucosal exudates and oral microflora. The most common aim of proteomic analysis is to discriminate between physiological and pathological conditions. A proteomic protocol to analyze the whole saliva proteome is not currently available. It is possible distinguish two type of proteomic platforms: top-down proteomics investigates intact naturally-occurring structure of a protein under examination; bottom-up proteomics analyses peptide fragments after pre-digestion (typically with trypsin). Because of this heterogeneity, many different biomarkers may be proposed for the same pathology. The salivary proteome has been characterised in several diseases: oral squamous cell carcinoma and oral leukoplakia, chronic graft-versus-host disease Sjögren's syndrome and other autoimmune disorders such as SAPHO, schizophrenia and bipolar disorder, and genetic diseases like Down's Syndrome and Wilson disease. The results of research reported herein suggest that in the near future human saliva will be a relevant diagnostic fluid for clinical diagnosis and prognosis.

Indexed as

ProteomicsBiomarkersClinical Laboratory TechniquesDiagnostic Tests, RoutineHumansSalivaBiomarkersProteomeSalivaSalivary biomarkers

Identifiers

PMID28516971
PMCPMC5463528

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Registered trials

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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.