Evidence map›Paper›PMID 40652193›Full record

ArticleMolecular medicine (Cambridge, Mass.)2025

Characterization of Ultra-Short plasma Cell-Free DNA in maternal blood and its preliminary potential as a screening marker for preeclampsia.

Weiqiang Liu, Qin Lu, Weijie Xie, Liang Hu, Lijuan Wen, Shuxian Zeng, Jiatong Zhong, Nani Lin, Yanxiang Chen, Yimin Wang

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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

10 authors.

Weiqiang Liu *Central Laboratory (genetics lab), Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China. liuwq06@126.com.
Qin Lu *Department of Applied and Translational Medicine, GeneMind Biosciences Co., Ltd, Shenzhen, 518000, China.
Weijie Xie *Central Laboratory (genetics lab), Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China.
Liang HuCentral Laboratory (genetics lab), Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China.
Lijuan WenCentral Laboratory (genetics lab), Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China.
Shuxian ZengCentral Laboratory (genetics lab), Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China.
Jiatong ZhongCentral Laboratory (genetics lab), Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China.
Nani LinDepartment of Applied and Translational Medicine, GeneMind Biosciences Co., Ltd, Shenzhen, 518000, China.
Yanxiang ChenDepartment of Applied and Translational Medicine, GeneMind Biosciences Co., Ltd, Shenzhen, 518000, China.
Yimin WangCollege of Pharmacy, Xiangnan University, Chenzhou, 423000, China.

Funding

Medical and Health Technology Research Project, Special Funds for Science and Technology, Innovation Longgang District of Shenzhen City LGKCYLWS2022013Natural Science Foundation of Shenzhen City JCYJ20230807141908017
6 · The paper itself

Abstract

backgroundCell-free DNA (cfDNA) in maternal blood is the foundation for non-invasive prenatal screening (NIPS). Recently, ultra-short cfDNA fragments, ranging from 30 to 70 base pairs (bp), have been identified and show promise in cancer diagnostics. However, the characteristics of ultra-short cfDNA in maternal blood during pregnancy remain unexplored. This study aims to characterize these fragments in pregnancy and evaluate their potential as biomarkers for preeclampsia.

methodsUltra-short cfDNA was isolated from the plasma of pregnant and non-pregnant women, and next-generation sequencing (NGS) was constructed. We performed deep sequencing to profile ultra-short cfDNA during pregnancy, including a cohort of women with preeclampsia, to identify distinct ultra-short peaks. These features were used to build a diagnostic model, which was validated in a separate testing cohort.

resultsSequencing data revealed that ultra-short cfDNA in maternal blood primarily originates from accessible open chromatin regions in blood and placental cells. A significant proportion of these fragments exhibited potential G-quadruplex (G4) motifs on the antisense strand. Significant differences in ultra-short cfDNA features were observed between women with preeclampsia and healthy controls. Based on these features, the diagnostic model achieved an area under the curve (AUC) of 0.90 in the training cohort and 0.86 in the test cohort.

conclusionsThis study comprehensively characterizes ultra-short cfDNA in maternal blood and suggests its preliminary potential as a diagnostic marker for early preeclampsia detection.

trial registrationRetrospectively registered.

Indexed as

BiomarkersCell-Free Nucleic AcidsPre-EclampsiaAdultFemaleHigh-Throughput Nucleotide SequencingHumansPregnancyBiomarkersCell-Free Nucleic AcidsEarly diagnosisPreeclampsiaPregnancyUltra-short cfDNA

Identifiers

PMID40652193
PMCPMC12255149

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.