Evidence map›Paper›PMID 34639092›Full record

ArticleInternational journal of molecular sciences2021

Single-Tear Proteomics: A Feasible Approach to Precision Medicine.

Erika Ponzini, Diletta Ami, Alessandro Duse, Carlo Santambrogio, Antonella De Palma, Dario Di Silvestre, Pierluigi Mauri, Fabio Pezzoli, Antonino Natalello, Silvia Tavazzi and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Ocular surface microbiota alterations in patients with pterygium.Frontiers in cellular and infection microbiology · 2025
    Article
  6. Review
  7. Article
  8. NanoLC-timsTOF-Assisted Analysis of Glycated Albumin in Diabetes-Affected Plasma and Tears.Journal of the American Society for Mass Spectrometry · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Mass Spectrometric Proteomics 2022.International journal of molecular sciences · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

11 authors.

Erika PonziniMaterials Science Department, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milan, Italy.ORCID 0000-0002-3103-740X
Diletta AmiDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milan, Italy.
Alessandro DuseMaterials Science Department, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milan, Italy.
Carlo SantambrogioDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milan, Italy.ORCID 0000-0003-3986-6971
Antonella De PalmaInstitute of Technologies in Biomedicine, National Research Council (ITB-CNR), Via Fratelli Cervi 93, 20090 Segrate, Italy.ORCID 0000-0001-5937-8604
Dario Di SilvestreInstitute of Technologies in Biomedicine, National Research Council (ITB-CNR), Via Fratelli Cervi 93, 20090 Segrate, Italy.ORCID 0000-0002-7143-6229
Pierluigi MauriInstitute of Technologies in Biomedicine, National Research Council (ITB-CNR), Via Fratelli Cervi 93, 20090 Segrate, Italy.ORCID 0000-0003-4364-0393
Fabio PezzoliMaterials Science Department, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milan, Italy.ORCID 0000-0001-8570-7299
Antonino NatalelloDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milan, Italy.ORCID 0000-0002-1489-272X
Silvia TavazziMaterials Science Department, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milan, Italy.ORCID 0000-0001-5786-2021
Rita GrandoriDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lacrimal fluid is an attractive source of noninvasive biomarkers, the main limitation being the small sample amounts typically collected. Advanced analytical methods to allow for proteomics profiling from a few microliters are needed to develop innovative biomarkers, with attractive perspectives of applications to precision medicine. This work describes an effective, analytical pipeline for single-tear analysis by ultrahigh-resolution, shotgun proteomics from 23 healthy human volunteers, leading to high-confidence identification of a total of 890 proteins. Highly reproducible quantification was achieved by either peak intensity, peak area, or spectral counting. Hierarchical clustering revealed a stratification of females vs. males that did not emerge from previous studies on pooled samples. Two subjects were monitored weekly over 3 weeks. The samples clustered by withdrawal time of day (morning vs. afternoon) but not by follow-up week, with elevated levels of components of the immune system in the morning samples. This study demonstrates feasibility of single-tear quantitative proteomics, envisaging contributions of this unconventional body fluid to individualized approaches in biomedicine.

Indexed as

Precision MedicineAdultBiomarkersEye ProteinsFemaleHealthy VolunteersHumansMaleProteomeProteomicsTearsYoung AdultBiomarkersEye ProteinsProteomelacrimal filmliquid biopsiesmass-spectrometry-based proteomicsperipheral body fluidspersonalized medicinesingle-tear analysis

Identifiers

PMID34639092
PMCPMC8509675

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.