Evidence map›Paper›PMID 28139245›Full record

ArticleOphthalmology2017

A Metabolome-Wide Study of Dry Eye Disease Reveals Serum Androgens as Biomarkers.

Jelle Vehof, Pirro G Hysi, Christopher J Hammond

Open access · hybridAbstract readTwin Study
In one paragraph

Article in Ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.5field-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

22 citing papers in PubMed, 62 citations in OpenAlex.

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  15. Metabolomics and biomarkers in ocular matrix: beyond ocular diseases.International journal of ophthalmology · 2020
    Review
  16. Tear Metabolomics in Dry Eye Disease: A Review.International journal of molecular sciences · 2019
    Review
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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

3 authors at 2 institutions in 2 countries.

Jelle VehofDepartment of Twin Research & Genetic Epidemiology, King's College London, St. Thomas' Hospital, London, United Kingdom; Department of Ophthalmology, King's College London, St. Thomas' Hospital, London, United Kingdom; Department of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. Electronic address: jelle.vehof@kcl.ac.uk.
Pirro G HysiDepartment of Twin Research & Genetic Epidemiology, King's College London, St. Thomas' Hospital, London, United Kingdom; Department of Ophthalmology, King's College London, St. Thomas' Hospital, London, United Kingdom.
Christopher J HammondDepartment of Twin Research & Genetic Epidemiology, King's College London, St. Thomas' Hospital, London, United Kingdom; Department of Ophthalmology, King's College London, St. Thomas' Hospital, London, United Kingdom.
St Thomas' Hospital · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo test the association between serum metabolites and dry eye disease (DED) using a hypothesis-free metabolomics approach.

designCross-sectional association study.

participantsA total of 2819 subjects from the population-representative TwinsUK cohort in the United Kingdom, with a mean age of 57 years (range, 17-82 years).

methodsWe tested associations between 222 known serum metabolites and DED. All subjects underwent nontargeted metabolomic analysis of plasma samples using gas and liquid chromatography in combination with mass spectrometry (Metabolon Inc., Durham, NC). Dry eye disease was defined from the validated Short Questionnaire for Dry Eye Syndrome (SQDES) as a previous diagnosis of DED by a clinician or "often" or "constant" symptoms of dryness and irritation. Analyses were performed with linear mixed effect models that included age, BMI, and sex as covariates, corrected for multiple testing.

main outcome measuresPrimary outcome was DED as defined by the SQDES, and secondary outcomes were symptom score of DED and a clinical diagnosis of DED.

resultsPrevalence of DED as defined by the SQDES was 15.5% (n = 436). A strong and metabolome-wide significant association with DED was found with decreased levels of the metabolites androsterone sulfate (P = 0.00030) and epiandrosterone sulfate (P = 0.00036). Three other metabolites involved in androgen metabolism, 4-androsten-3beta,17beta-diol disulfate 1 and 2, and dehydroepiandrosterone sulfate, were the next most strongly associated of the 222 metabolites, but did not reach metabolome-wide significance. Dryness and irritation symptoms, as opposed to a clinical diagnosis, were particularly strongly associated with decreased androgen steroid metabolites, with all reaching metabolome-wide significance (androsterone sulfate, P = 0.000000029; epiandrosterone sulfate, P = 0.0000040; 4-androsten-3beta,17beta-diol disulfate 1, P = 0.000016; 4-androsten-3beta,17beta-diol disulfate 2, P = 0.000064; and dehydroepiandrosterone sulfate, P = 0.00011). Of these 5 androgens, epiandrosterone sulfate (P = 0.0076) was most associated with 2-year incidence of clinician-diagnosed DED. In addition, we found decreased glycerophosphocholines to be associated with DED, although not at metabolome-wide significance.

conclusionsThis hypothesis-free metabolomic approach found decreased serum androgens to be highly associated with DED and adds important evidence to the growing body of research that links androgens to ocular surface disease and DED.

Indexed as

AdolescentAdultAgedAged, 80 and overAndrogensAndrostenediolsAndrosteroneBiomarkersCohort StudiesCross-Sectional StudiesDehydroepiandrosterone SulfateDry Eye SyndromesFemaleGas Chromatography-Mass SpectrometryHumansMale4-androstene-3,17-diolAndrogensAndrostenediolsAndrosteroneandrosterone sulfateBiomarkersDehydroepiandrosterone Sulfate

Identifiers

PMID28139245
PMCPMC5375174
OpenAlexW2580634790

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.