Evidence map›Paper›PMID 26759613›Full record

ArticleClinical epigenetics2016

The influence of menstrual cycle and endometriosis on endometrial methylome.

Merli Saare, Vijayachitra Modhukur, Marina Suhorutshenko, Balaji Rajashekar, Kadri Rekker, Deniss Sõritsa, Helle Karro, Pille Soplepmann, Andrei Sõritsa, Cecilia M Lindgren and 6 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Biomolecules · 2025
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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

16 authors.

Merli Saare *Competence Centre on Health Technologies Tartu, Tartu, Estonia.
Vijayachitra Modhukur *Institute of Computer Science, University of Tartu, Tartu, Estonia.
Marina SuhorutshenkoCompetence Centre on Health Technologies Tartu, Tartu, Estonia.
Balaji RajashekarInstitute of Computer Science, University of Tartu, Tartu, Estonia.
Kadri RekkerCompetence Centre on Health Technologies Tartu, Tartu, Estonia.
Deniss SõritsaCompetence Centre on Health Technologies Tartu, Tartu, Estonia.
Helle KarroTartu University Women's Clinic, Tartu, Estonia.
Pille SoplepmannWomen's Clinic, Tartu University Hospital, Tartu, Estonia.
Andrei SõritsaElite Clinic, Tartu, Estonia.
Cecilia M LindgrenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Nilufer RahmiogluWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Alexander DrongWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Christian M BeckerEndometriosis CaRe Centre, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, UK.
Krina T ZondervanWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Andres SalumetsCompetence Centre on Health Technologies Tartu, Tartu, Estonia.
Maire PetersCompetence Centre on Health Technologies Tartu, Tartu, Estonia.

Funding

Medical Research Council MR/K011480/1
6 · The paper itself

Abstract

backgroundAlterations in endometrial DNA methylation profile have been proposed as one potential mechanism initiating the development of endometriosis. However, the normal endometrial methylome is influenced by the cyclic hormonal changes, and the menstrual cycle phase-dependent epigenetic signature should be considered when studying endometrial disorders. So far, no studies have been performed to evaluate the menstrual cycle influences and endometriosis-specific endometrial methylation pattern at the same time.

resultsInfinium HumanMethylation 450K BeadChip arrays were used to explore DNA methylation profiles of endometrial tissues from various menstrual cycle phases from 31 patients with endometriosis and 24 healthy women. The DNA methylation profile of patients and controls was highly similar and only 28 differentially methylated regions (DMRs) between patients and controls were found. However, the overall magnitude of the methylation differences between patients and controls was rather small (Δβ ranging from -0.01 to -0.16 and from 0.01 to 0.08, respectively, for hypo- and hypermethylated CpGs). Unsupervised hierarchical clustering of the methylation data divided endometrial samples based on the menstrual cycle phase rather than diseased/non-diseased status. Further analysis revealed a number of menstrual cycle phase-specific epigenetic changes with largest changes occurring during the late-secretory and menstrual phases when substantial rearrangements of endometrial tissue take place. Comparison of cycle phase- and endometriosis-specific methylation profile changes revealed that 13 out of 28 endometriosis-specific DMRs were present in both datasets.

conclusionsThe results of our study accentuate the importance of considering normal cyclic epigenetic changes in studies investigating endometrium-related disease-specific methylation patterns.

Indexed as

DNA MethylationEpigenesis, GeneticAdultCase-Control StudiesEndometriosisEndometriumFemaleGenome-Wide Association StudyHumansMenstrual CycleOligonucleotide Array Sequence AnalysisDNA methylationEndometriosisEndometriumEpigeneticsIllumina 450KMenstrual cycleMicroarray

Identifiers

PMID26759613
PMCPMC4710036

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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.