Evidence map›Paper›PMID 41859171›Full record

ArticleFrontiers in medicine2026

Early non-invasive epigenetic approach for assessing trisomy risk in maternal plasma.

Tridiv Katiyar, Medha Srivastava, Suman Mishra, Swasti Tiwari, Shubha Phadke

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tridiv KatiyarDepartment of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India.
Medha SrivastavaDepartment of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India.
Suman MishraDepartment of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India.
Swasti TiwariDepartment of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India.
Shubha PhadkeDepartment of Medical Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Karyotyping is the standard confirmatory test for identifying chromosomal abnormalities, such as Trisomy 21, which requires amniotic fluid from pregnant women. The present study investigated the potential of methylated cell-free DNA (mcf-DNA) and methylated extracellular vesicle-derived DNA (mev-DNA) as an early, non-invasive epigenetic approach, specifically focusing on fetal-specific methylated regions (FSMRs) of Methods: Blood samples were collected from pregnant women ( Results: Trisomy pregnancies had significantly lower mean Ct values for Conclusion: This pilot study demonstrates the feasibility of using mcf-DNA and mev-DNA for detecting Trisomy 21-associated fetal methylation signatures in maternal plasma. While consistent with earlier findings, these results validate the applicability of methylated DNA immunoprecipitation (MeDIP)-based qPCR methylation assays in a North Indian cohort and support their potential integration into population-specific non-invasive prenatal screening strategies.

Indexed as

epigenetic markersextracellular vesicles derived DNAfree fetal DNAmethylated cell-free DNAtrisomy

Identifiers

PMID41859171
PMCPMC12997446

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.