Evidence map›Paper›PMID 41029413›Full record

ArticleJournal of translational medicine2025

CPMOAD: comprehensive preeclampsia multi-omics analysis database.

Yang Fang, Mengzhe Fan, Hao Li, Hongen Xu, Hongmei Du, Yaqing Guo, Jinshuang Gao, Erfeng Yuan, Liying Song, Yu Wang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Yang FangDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China. yangfangscu@gmail.com.ORCID 0000-0002-2059-9503
Mengzhe FanNational Supercomputing Center in Zhengzhou, Zhengzhou, China.
Hao LiDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Hongen XuPrecision Medicine Center, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, China.
Hongmei DuDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Yaqing GuoDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Jinshuang GaoDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Erfeng YuanDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Liying SongDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Yu WangDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Qianqian ShiDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
HaiYang YuDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Enwu YuanDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
Xin ZhaoTianjian Laboratory of Advanced Biomedical Sciences, Institute of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, 450000, Henan, China. zdsfyzx@zzu.edu.cn.
Linlin ZhangDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China. zll7376@zzu.edu.cn.

Funding

Henan Province Medical Science and Technology Research SBGJ202101020Henan Province Medical Science and Technology Research SBGJ202302081Henan Province Medical Science and Technology Research SBGJ202302085Henan Provincial Science and Technology Research and Development Joint Fund 235200810033Henan Provincial Science and Technology Research Project 242102310374The Medical Science and Technology Joint Construction Project of Henan Province LHGJ20230373
6 · The paper itself

Abstract

backgroundPreeclampsia (PE) is a pregnancy-specific syndrome that poses serious risks to both maternal and fetal health globally. Despite the accumulation of multi-omics datasets from various studies, a unified platform that integrates these resources for comprehensive analysis remains unavailable.

methodsWe developed CPMOAD (Comprehensive Preeclampsia Multi-Omics Analysis Database), an online platform designed to integrate RNA-seq, DNA methylation, and literature-curated data related to PE. All datasets were uniformly processed to generate differential expression profiles, methylation data, and curated molecular interaction records. The database is equipped with interactive visualization tools and customizable analysis modules.

resultsCPMOAD offers access to a broad spectrum of PE-relevant data, including gene expression and methylation profiles. Users can perform differential expression analysis, methylation analysis, and pathway enrichment analysis directly through the web interface. The platform also enables the exploration of validated molecular signatures associated with PE.

conclusionsCPMOAD serves as a comprehensive and user-friendly resource for integrated multi-omics analysis in preeclampsia research. By consolidating diverse datasets and providing powerful analytical tools, CPMOAD aims to accelerate the discovery of molecular mechanisms and potential biomarkers for PE. The database is freely accessible at http://nscc.zzu.edu.cn/CPMOAD/ .

Indexed as

Databases, GeneticGenomicsPre-EclampsiaComputational BiologyDNA MethylationFemaleGene Expression ProfilingHumansMultiomicsPregnancyDatabaseInteractive analysisMulti-omicsPreeclampsia

Identifiers

PMID41029413
PMCPMC12487061

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.