Evidence map›Paper›PMID 39825876›Full record

ArticleEpigenetics2025

DNA-based cell typing in menstrual effluent identifies cell type variation by sample collection method: toward noninvasive biomarker development for women's health.

Irma M Vlasac, Hannah G Stolrow, Zaneta M Thayer, Brock C Christensen, Luisa Rivera

Abstract read
In one paragraph

Article in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Irma M VlasacDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.ORCID 0000-0002-1037-2698
Hannah G StolrowDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Zaneta M ThayerDepartment of Anthropology, Dartmouth College, Hanover, NH, USA.
Brock C ChristensenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Luisa RiveraDepartment of Anthropology, Dartmouth College, Hanover, NH, USA.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Pilot Project ProgramP30GM149408 · NIGMS · DARTMOUTH COLLEGE · PI Brock C Christensen · 2023 to 2026
$6.3M
NCI NIH HHS P30 CA023108NIGMS NIH HHS P30 GM149408
6 · The paper itself

Abstract

Menstrual effluent cell profiles have potential as noninvasive biomarkers of female reproductive and gynecological health and disease. We used DNA methylation-based cell type deconvolution (methylation cytometry) to identify cell type profiles in self-collected menstrual effluent. During the second day of their menstrual cycle, healthy participants collected menstrual effluent using a vaginal swab, menstrual cup, and pad. Immune cell proportions were highest in menstrual cup samples, and epithelial cells were highest in swab samples. Our work demonstrates the feasibility and utility of menstrual effluent cell profiling in population-level research using remotely collected samples and DNA methylation.

Indexed as

DNA MethylationMenstruationSpecimen HandlingAdultBiomarkersFemaleHumansWomen's HealthYoung AdultBiomarkersbiomarkersDNA methylationEpigeneticsmenstrual effluentnoninvasivewomens health

Identifiers

PMID39825876
PMCPMC12698062

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Registered trials

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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.