Evidence map›Paper›PMID 30069167›Full record

ArticleClinical proteomics2018

Comparison of iTRAQ and SWATH in a clinical study with multiple time points.

Antti Jylhä, Janika Nättinen, Ulla Aapola, Alexandra Mikhailova, Matti Nykter, Lei Zhou, Roger Beuerman, Hannu Uusitalo

Abstract read
In one paragraph

Article in Clinical proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Antioxidants (Basel, Switzerland) · 2026
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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.

Antti Jylhä1Department of Ophthalmology, SILK, The Centre for Proteomics and Personalized Medicine (PPM), Faculty of Medicine and Life Sciences, University of Tampere, Arvo Ylpön katu 34, ARVO, PL 100, 33014 Tampere, Finland.ORCID 0000-0002-9910-1017
Janika Nättinen1Department of Ophthalmology, SILK, The Centre for Proteomics and Personalized Medicine (PPM), Faculty of Medicine and Life Sciences, University of Tampere, Arvo Ylpön katu 34, ARVO, PL 100, 33014 Tampere, Finland.
Ulla Aapola1Department of Ophthalmology, SILK, The Centre for Proteomics and Personalized Medicine (PPM), Faculty of Medicine and Life Sciences, University of Tampere, Arvo Ylpön katu 34, ARVO, PL 100, 33014 Tampere, Finland.
Alexandra Mikhailova1Department of Ophthalmology, SILK, The Centre for Proteomics and Personalized Medicine (PPM), Faculty of Medicine and Life Sciences, University of Tampere, Arvo Ylpön katu 34, ARVO, PL 100, 33014 Tampere, Finland.
Matti Nykter2BioMediTech, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
Lei Zhou3Singapore Eye Research Institute, Singapore, Singapore.
Roger Beuerman1Department of Ophthalmology, SILK, The Centre for Proteomics and Personalized Medicine (PPM), Faculty of Medicine and Life Sciences, University of Tampere, Arvo Ylpön katu 34, ARVO, PL 100, 33014 Tampere, Finland.
Hannu Uusitalo1Department of Ophthalmology, SILK, The Centre for Proteomics and Personalized Medicine (PPM), Faculty of Medicine and Life Sciences, University of Tampere, Arvo Ylpön katu 34, ARVO, PL 100, 33014 Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in mass spectrometry have accelerated biomarker discovery in many areas of medicine. The purpose of this study was to compare two mass spectrometry (MS) methods, isobaric tags for relative and absolute quantitation (iTRAQ) and sequential window acquisition of all theoretical fragment ion spectra (SWATH), for analytical efficiency in biomarker discovery when there are multiple methodological constraints such as limited sample size and several time points for each patient to be analyzed.

methodsA total of 140 tear samples were collected from 28 glaucoma patients at 5 time points in a glaucoma drug switch study. Samples were analyzed with iTRAQ and SWATH methods using NanoLC-MSTOF mass spectrometry.

resultsWe discovered that even though iTRAQ is faster than SWATH with respect to analysis time per sample, it loses in sensitivity, reliability and robustness. While SWATH analysis yielded complete data of 456 proteins in all samples, with iTRAQ we were able to quantify 477 proteins in total but on average only 125 proteins were quantified in a sample. 283 proteins were common in the datasets produced by the two methods. Repeatability of the methods was assessed by calculating percent relative standard deviation (% RSD) between replicate MS analyses: SWATH was more repeatable (56% of proteins < 20% RSD), compared to iTRAQ (43% of proteins < 20% RSD). Despite the overall benefits of SWATH, both methods showed less than 1 log fold change difference in the expression of 74% common proteins. In addition, comparison to MS/MS peptide results using 8 isotopically labeled peptide standards, SWATH and iTRAQ showed similar results in terms of accuracy. Moreover, both methods detected similar trends in a longitudinal analysis of protein expression of two known tear biomarkers.

conclusionsOverall, we conclude that SWATH should be preferred for biomarker discovery studies when analyzing limited volumes of clinical samples collected at multiple time points. TRIAL REGISTERATION: The study was approved by the Ethics Committee at Tampere University Hospital and was registered in EU clinical trials register (EudraCT Number: 2010-021039-14).

Identifiers

PMID30069167
PMCPMC6065059

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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.