Evidence map›Paper›PMID 39059385›Full record

ArticleCell reports. Medicine2024

Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus.

Zhuangyuan Tang, Shuo Wang, Xi Li, Chengbin Hu, Qiangrong Zhai, Jing Wang, Qingshi Ye, Jinnan Liu, Guohong Zhang, Yuanyuan Guo and 22 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Therapeutic effects of 1,25-dihydroxyvitamin DMolecular biology reports · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Artificial Intelligence in Gestational Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2025
    Review
  12. Article
  13. Advances in cfDNA research for pregnancy-related diseases.Frontiers in cell and developmental biology · 2025
    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

32 authors.

Zhuangyuan TangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China.
Shuo WangTianjin Women and Children's Health Center, Tianjin 300070, China.
Xi LiBGI Research, Shenzhen 518083, China; BGI Research, Wuhan 430074, China.
Chengbin HuBGI Research, Shenzhen 518083, China.
Qiangrong ZhaiBGI Research, Shenzhen 518083, China. Electronic address: zhaiqiangrong@genomics.cn.
Jing WangTianjin Women and Children's Health Center, Tianjin 300070, China.
Qingshi YeCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China.
Jinnan LiuTianjin Women and Children's Health Center, Tianjin 300070, China.
Guohong ZhangBGI Research, Shenzhen 518083, China.
Yuanyuan GuoTianjin Women and Children's Health Center, Tianjin 300070, China.
Fengxia SuBGI Research, Shenzhen 518083, China.
Huikun LiuTianjin Women and Children's Health Center, Tianjin 300070, China.
Lingyao GuanChina National GeneBank, BGI, Shenzhen 518083, China.
Chang JiangTianjin Women and Children's Health Center, Tianjin 300070, China.
Jiayu ChenChina National GeneBank, BGI, Shenzhen 518083, China.
Min LiTianjin Women and Children's Health Center, Tianjin 300070, China.
Fangyi RenChina National GeneBank, BGI, Shenzhen 518083, China.
Yu ZhangTianjin Women and Children's Health Center, Tianjin 300070, China.
Minjuan HuangChina National GeneBank, BGI, Shenzhen 518083, China.
Lingguo LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China.
Haiqiang ZhangBGI Research, Shenzhen 518083, China.
Guixue HouBGI, Shenzhen 518083, China.
Xin JinTianjin Women and Children's Health Center, Tianjin 300070, China; The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou 510006, China.
Fang ChenBGI, Shenzhen 518083, China.
Huanhuan ZhuBGI Research, Shenzhen 518083, China.
Linxuan LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China.
Jingyu ZengBGI Research, Shenzhen 518083, China; College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Han XiaoInstitute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Aifen ZhouInstitute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lingyan FengTianjin Women and Children's Health Center, Tianjin 300070, China. Electronic address: haiyangfly_2000@163.com.
Ya GaoBGI Research, Shenzhen 518083, China; Shenzhen Engineering Laboratory for Birth Defects Screening, Shenzhen, China. Electronic address: gaoya@genomics.cn.
Gongshu LiuTianjin Women and Children's Health Center, Tianjin 300070, China. Electronic address: liugongshu727@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) presents varied manifestations throughout pregnancy and poses a complex clinical challenge. High-depth cell-free DNA (cfDNA) sequencing analysis holds promise in advancing our understanding of GDM pathogenesis and prediction. In 299 women with GDM and 299 matched healthy pregnant women, distinct cfDNA fragment characteristics associated with GDM are identified throughout pregnancy. Integrating cfDNA profiles with lipidomic and single-cell transcriptomic data elucidates functional changes linked to altered lipid metabolism processes in GDM. Transcription start site (TSS) scores in 50 feature genes are used as the cfDNA signature to distinguish GDM cases from controls effectively. Notably, differential coverage of the islet acinar marker gene PRSS1 emerges as a valuable biomarker for GDM. A specialized neural network model is developed, predicting GDM occurrence and validated across two independent cohorts. This research underscores the high-depth cfDNA early prediction and characterization of GDM, offering insights into its molecular underpinnings and potential clinical applications.

Indexed as

Cell-Free Nucleic AcidsDiabetes, GestationalAdultBiomarkersCase-Control StudiesFemaleHumansLongitudinal StudiesPregnancyTranscriptomeBiomarkersCell-Free Nucleic Acidscell-free DNAgestational diabetes mellituspregnancy dynamicsPRSS1

Identifiers

PMID39059385
PMCPMC11384941

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.