Evidence map›Paper›PMID 30104599›Full record

ArticleScientific reports2018

Patient stratification in clinical glaucoma trials using the individual tear proteome.

Janika Nättinen, Antti Jylhä, Ulla Aapola, Minna Parkkari, Alexandra Mikhailova, Roger W Beuerman, Hannu Uusitalo

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Clinical Tear Fluid Proteomics-A Novel Tool in Glaucoma Research.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Janika NättinenSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland. janika.nattinen@uta.fi.
Antti JylhäSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland.
Ulla AapolaSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland.
Minna ParkkariSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland.
Alexandra MikhailovaSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland.
Roger W BeuermanSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland.
Hannu UusitaloSILK, Department of Ophthalmology, Faculty of Medicine and Life Sciences and BioMediTech, University of Tampere, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glaucoma patients are prone to concomitant ocular surface diseases; however, switching from preserved to preservative-free medication can often alleviate these symptoms. The objective of this study was to examine how the adverse effects and tear proteome change for glaucoma patients (n = 28) during a 12-month drug switch from preserved latanoprost (Xalatan) to preservative-free tafluprost (Taflotan). We hypothesized that patient stratification could help identify novel recovery patterns in both tear proteomics and clinical data. In order to accomplish patient stratification, we implemented sequential window acquisition of all theoretical mass spectrometry (SWATH-MS) as a tool for quantitative analysis of individual tear protein profiles. During each visit (baseline and four follow-up visits), the patients' tears were sampled and the state of their ocular surface was evaluated clinically. Altogether 785 proteins were quantified from each tear sample using SWATH strategy and as these protein expression levels were compared between baseline and 12-month follow-up, three distinct patient groups were identified. We evaluated how these patient groups differed in their protein expression levels at baseline and discovered that the patients with increased levels of pro-inflammatory proteins and decreased levels of protective proteins benefitted most from the medication switch.

Indexed as

AgedAntihypertensive AgentsBenzalkonium CompoundsFemaleGlaucomaHumansLatanoprostMaleMiddle AgedPreservatives, PharmaceuticalProstaglandins FProteomeTearsAntihypertensive AgentsBenzalkonium CompoundsLatanoprostPreservatives, PharmaceuticalProstaglandins FProteometafluprost

Identifiers

PMID30104599
PMCPMC6089987

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.