Evidence map›Paper›PMID 24967377›Full record

Trial reportBioMed research international2014

Differential effects of dry eye disorders on metabolomic profile by 1H nuclear magnetic resonance spectroscopy.

Carmen Galbis-Estrada, Sebastián Martinez-Castillo, José M Morales, Bárbara Vivar-Llopis, Daniel Monleón, Manuel Díaz-Llopis, María Dolores Pinazo-Durán

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Tear Metabolomics in Dry Eye Disease: A Review.International journal of molecular sciences · 2019
    Review
  12. Article
  13. TFOS DEWS II Tear Film Report.The ocular surface · 2017
    Review
  14. Article
  15. LC-MS-Based Metabolic Fingerprinting of Aqueous Humor.Journal of analytical methods in chemistry · 2017
    Article
  16. Review
  17. Article
  18. 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

7 authors at 3 institutions in 1 country.

Carmen Galbis-EstradaOphthalmic Research Unit "Santiago Grisolía", University Hospital Doctor Peset, Avenue Gaspar Aguilar 90, 46017 Valencia, Valencia, Spain ; Ophthalmic Research Unit, Faculty of Medicine, University of Valencia, Valencia, Spain.ORCID 0000-0003-4814-6626
Sebastián Martinez-CastilloUniversity and Polytechnic Hospital La Fe, Valencia, Spain.
José M MoralesCentral Unit of Research in Medicine, University of Valencia, Valencia, Spain.
Bárbara Vivar-LlopisOphthalmic Research Unit "Santiago Grisolía", University Hospital Doctor Peset, Avenue Gaspar Aguilar 90, 46017 Valencia, Valencia, Spain ; Ophthalmic Research Unit, Faculty of Medicine, University of Valencia, Valencia, Spain.
Daniel MonleónClinical Hospital Research Foundation (INCLIVA), Valencia, Spain.
Manuel Díaz-LlopisOphthalmic Research Unit, Faculty of Medicine, University of Valencia, Valencia, Spain.
María Dolores Pinazo-DuránOphthalmic Research Unit "Santiago Grisolía", University Hospital Doctor Peset, Avenue Gaspar Aguilar 90, 46017 Valencia, Valencia, Spain ; Ophthalmic Research Unit, Faculty of Medicine, University of Valencia, Valencia, Spain.
Universitat de València · ESHospital Universitari i Politècnic La Fe · ESINCLIVA Health Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used (1)H NMR spectroscopy to analyze the metabolomic profile of reflex tears from patients with dry eye disorders (DEDs). 90 subjects were divided into 2 groups: (1) patients with DEDs (DEDG; n = 55) and (2) healthy subjects (CG; n = 35). Additionally, the DEDG was subdivided into 2 subgroups based on DED severity: mild-to-moderate and moderate (n = 22 and n = 33, resp.). Personal interviews and systematized ophthalmologic examinations were carried out. Reflex tears (20-30  μL) were collected by gently rubbing in the inferior meniscus of both eyelids with a microglass pipette and stored at -80°C until analysis. NMR spectra were acquired using a standard one-dimensional pulse sequence with water suppression. Data were processed and transferred to MATLAB for further chemometric analysis. Main differences in tear composition between DEDG and CG were found in cholesterol, N-acetylglucosamine, glutamate, creatine, amino-n-butyrate, choline, acetylcholine, arginine, phosphoethanolamine, glucose, and phenylalanine levels. This metabolic fingerprint helped also to discriminate between the three additional subgroups of DEDG. Our results suggest that tear metabolic differences between DEDG and CG identified by NMR could be useful in understanding ocular surface pathogenesis and improving biotherapy.

Indexed as

MetabolomeAdultAgedAged, 80 and overDry Eye SyndromesFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedTears

Identifiers

PMID24967377
PMCPMC4055474
OpenAlexW2171862374

What OpenQuestion holds

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LicenceCC BY
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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.