Cited by 113Endometriosis Research and TreatmentEpigenetics and DNA MethylationPlant and fungal interactions

Aberrant Endometrial DNA Methylome and Associated Gene Expression in Women with Endometriosis

Open access
Houshdaran, S., Nezhat, C. R., Vo, K. C., Zelenko, Z., Irwin, J. C., Giudice, L. C.·2016·Biology of Reproduction

Abstract

Endometriosis is an estrogen-dependent, progesterone-resistant disorder largely derived from retrograde transplantation of menstrual tissue/cells into the pelvis, eliciting an inflammatory response, pelvic pain, and infertility. Eutopic endometrium (within the uterus), giving rise to pelvic disease, displays cycle-dependent transcriptomic, proteomic, and signaling abnormalities, and although its DNA methylation profiles dynamically change across the cycle in healthy women, studies in endometriosis are limited. Herein, we investigated the DNA methylome and associated gene expression in three phases of the cycle in eutopic endometrium of women with severe endometriosis versus controls, matched for ethnicity, medications, smoking, and no recent contraceptive steroid use. Genome-wide DNA methylation and gene expression were coassessed in each sample. Cycle phase was determined by histology, serum hormone levels, and unsupervised principal component and hierarchical cluster analyses of microarray data. Altered endometrial DNA methylation in endometriosis was most prominent in the midsecretory phase (peak progesterone), with disruption of the normal pattern of cycle-dependent DNA methylation changes, including a bias toward methylation of CpG islands, suggesting wide-range abnormalities of the chromatin remodeling machinery in endometriosis. DNA methylation changes were associated with altered gene expression relevant to endometrial function/dysfunction, including cell proliferation, inflammation/immune response, angiogenesis, and steroid hormone response. The data provide insight into epigenetic reprogramming and steroid hormone actions in endometrium contributing to the pathogenesis and pathophysiology of endometriosis.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1095/biolreprod.116.140434

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Houshdaran et al. found the greatest differences in methylation patterns between endometrium of endometriosis patients and control subjects in the midsecretory phase of the menstrual cycle.

    “In accordance with numerous studies demonstrating progesterone resistance in the endometrium of patients in secretory phase, they also found the greatest differences in methylation patterns between the endometrium of patients and from control subjects in the midsecretory phase of menstrual cycle (100), further confirming molecular abnormalities apparent in eutopic endometrium of women with endomet”

    From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [100]

  • Methylation patterns between endometriosis and control endometrium were not robust enough to be useful as diagnostic biomarkers independently from menstrual cycle.

    “For example, despite finding significant methylation differences in CpG islands in the secretory phase of the menstrual cycle when endometrium samples are compared by disease (with or without endometriosis), the methylation patterns between disease and control were not simply robust to be useful as diagnostic biomarkers independently from menstrual cycle (82,100,104).”

    From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [100]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Houshdaran, S., Nezhat, C. R., Vo, K. C., Zelenko, Z., Irwin, J. C., & Giudice, L. C.
Affiliations
  • University of California, San Francisco (US)
  • Center for Special Minimally Invasive and Robotic Surgery (US)
Corresponding author
Giudice, L. C.
Venue
Biology of Reproduction
Published
2016-08-17
Volume
95
Issue
5
Pages
93-93
ISSN
  • 0006-3363 (ISSN-L)
  • 1529-7268
OpenAlex
W2513803129
Cited by
113
References
50
Citations by year
2026: 1 · 2025: 8 · 2024: 10 · 2023: 15 · 2022: 10 · 2021: 15 · 2020: 12 · 2019: 15 · 2018: 17 · 2017: 10
FWCI
18.61
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Biology of Reproduction (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • BioOne Complete (BioOne) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD055764, P50HD055764)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Plant and fungal interactions
Keywords
endometriosis, methylome, gene expression, menstrual cycle, progesterone, CpG islands, chromatin remodeling, epigenetic reprogramming, steroid hormone response, inflammation, angiogenesis, cell proliferation, eutopic endometrium
MeSH terms
Adult, Endometriosis, Endometrium, Female, Gene Expression Regulation, Humans, Menstrual Cycle, Gene Expression, CpG Islands, DNA Methylation, Proteomics, Epigenesis, Genetic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review