Evidence map›Paper›PMID 34905686›Full record

ArticleAnalytical chemistry2021

Tear-Based Vibrational Spectroscopy Applied to Amyotrophic Lateral Sclerosis.

Diletta Ami, Alessandro Duse, Paolo Mereghetti, Federica Cozza, Francesca Ambrosio, Erika Ponzini, Rita Grandori, Christian Lunetta, Silvia Tavazzi, Fabio Pezzoli and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

Diletta AmiDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy.
Alessandro DuseDepartment of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.
Paolo MereghettiBioinformatics Consultant, 15061 Arquata Scrivia, Italy.ORCID 0000-0001-6012-592X
Federica CozzaCOMiB Research Centre in Optics and Optometry, Via R. Cozzi 55, 20125 Milano, Italy.
Francesca AmbrosioDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy.
Erika PonziniDepartment of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.ORCID 0000-0002-3103-740X
Rita GrandoriDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy.
Christian LunettaNEuroMuscular Omnicentre (NEMO), Serena Onlus Foundation, Piazza Ospedale Maggiore 3, 20162 Milano, Italy.
Silvia TavazziDepartment of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.
Fabio PezzoliDepartment of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.
Antonino NatalelloDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy.ORCID 0000-0002-1489-272X
University of Milano-Bicocca · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofluid analysis by optical spectroscopy techniques is attracting considerable interest due to its potential to revolutionize diagnostics and precision medicine, particularly for neurodegenerative diseases. However, the lack of effective biomarkers combined with the unaccomplished identification of convenient biofluids has drastically hampered optical advancements in clinical diagnosis and monitoring of neurodegenerative disorders. Here, we show that vibrational spectroscopy applied to human tears opens a new route, offering a non-invasive, label-free identification of a devastating disease such as amyotrophic lateral sclerosis (ALS). Our proposed approach has been validated using two widespread techniques, namely, Fourier transform infrared (FTIR) and Raman microspectroscopies. In conjunction with multivariate analysis, this vibrational approach made it possible to discriminate between tears from ALS patients and healthy controls (HCs) with high specificity (∼97% and ∼100% for FTIR and Raman spectroscopy, respectively) and sensitivity (∼88% and ∼100% for FTIR and Raman spectroscopy, respectively). Additionally, the investigation of tears allowed us to disclose ALS spectroscopic markers related to protein and lipid alterations, as well as to a reduction of the phenylalanine level, in comparison with HCs. Our findings show that vibrational spectroscopy is a new potential ALS diagnostic approach and indicate that tears are a reliable and non-invasive source of ALS biomarkers.

Indexed as

Amyotrophic Lateral SclerosisBiomarkersHumansSpectroscopy, Fourier Transform InfraredSpectrum Analysis, RamanTearsVibrationBiomarkers

Identifiers

PMID34905686
PMCPMC8717331
OpenAlexW4200080983

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.