Evidence map›Paper›PMID 31885741›Full record

ReviewDisease markers2019

Analytical Strategies in Lipidomics for Discovery of Functional Biomarkers from Human Saliva.

Snezana Agatonovic-Kustrin, David William Morton, Valeriy Smirnov, Alexey Petukhov, Vladimir Gegechkori, Vera Kuzina, Natalya Gorpinchenko, Galina Ramenskaya

Abstract readReview
In one paragraph

Review in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Salivary metabolites to detect patients with cancer: a systematic review.International journal of clinical oncology · 2020
    Pooled it
  2. Review
  3. Review
  4. Sex-Specific Salivary Biochemical Composition in a Healthy Population.International journal of molecular sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Lipidomic profiles as a tool to search for new biomarkers.International journal of occupational medicine and environmental health · 2022
    Review
  14. Review
  15. Article
  16. Observational
  17. Observational
  18. Article
  19. Applications of Lipidomics in Tumor Diagnosis and Therapy.Advances in experimental medicine and biology · 2021
    Article
  20. Article
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.

Snezana Agatonovic-KustrinDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.ORCID https://orcid.org/0000-0002-7714-5510
David William MortonDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.ORCID https://orcid.org/0000-0003-3620-5449
Valeriy SmirnovDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.
Alexey PetukhovDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.
Vladimir GegechkoriDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.
Vera KuzinaDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.
Natalya GorpinchenkoDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.
Galina RamenskayaDepartment of Pharmaceutical and Toxicological Chemistry Named after Arzamastsev of the Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya, Moscow 119991, Russia.ORCID https://orcid.org/0000-0001-8779-3573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human saliva is increasingly being used and validated as a biofluid for diagnosing, monitoring systemic disease status, and predicting disease progression. The discovery of biomarkers in saliva biofluid offers unique opportunities to bypass the invasive procedure of blood sampling by using oral fluids to evaluate the health condition of a patient. Saliva biofluid is clinically relevant since its components can be found in plasma. As salivary lipids are among the most essential cellular components of human saliva, there is great potential for their use as biomarkers. Lipid composition in cells and tissues change in response to physiological changes and normal tissues have a different lipid composition than tissues affected by diseases. Lipid imbalance is closely associated with a number of human lifestyle-related diseases, such as atherosclerosis, diabetes, metabolic syndromes, systemic cancers, neurodegenerative diseases, and infectious diseases. Thus, identification of lipidomic biomarkers or key lipids in different diseases can be used to diagnose diseases and disease state and evaluate response to treatments. However, further research is needed to determine if saliva can be used as a surrogate to serum lipid profiles, given that highly sensitive methods with low limits of detection are needed to discover salivary biomarkers in order to develop reliable diagnostic and disease monitoring salivary tests. Lipidomic methods have greatly advanced in recent years with a constant advance in mass spectrometry (MS) and development of MS detectors with high accuracy and high resolution that are able to determine the elemental composition of many lipids.

Indexed as

BiomarkersHumansLife StyleLimit of DetectionLipidomicsMass SpectrometrySalivaStress, PhysiologicalBiomarkers

Identifiers

PMID31885741
PMCPMC6914909

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.