Evidence map›Paper›PMID 40019643›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2025

Role of Immune Cells in Mediating the Effect of Lipids on Preeclampsia.

Chunxiao Dang, Yanan Duan, Pengfei Liu, Jinxing Liu, Xiao Yu, Jiangping Wang

Abstract read
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In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2025. 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

6 authors.

Chunxiao Dang *First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.ORCID 0000-0001-8145-8774
Yanan Duan *Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, 257000, China.
Pengfei LiuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Jinxing LiuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Xiao YuDepartment of Gynecology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Jiangping WangDongying Traditional Chinese Medicine Hospital, No. 107, Bei'er Road, Dongying, 257000, China. slyywjp@163.com.

Funding

National Natural Science Foundation of China 82104917Natural Science Foundation of Shandong Province ZR2021MH079
6 · The paper itself

Abstract

Lipidomes are thought to be associated with preeclampsia (PE). In addition, the immune response has been reported to play an important role in the development of PE. However, the causal relationship between the three remains unclear. We aimed to determine whether genetically predicted lipidomes, immunophenotypes, have a causal effect on PE, and also to explore whether immunophenotypes mediate the causal effect of lipidomes on PE. Two-step Mendelian randomization (MR) analysis, mainly using the inverse variance weighted (IVW) method, was performed to estimate the correlation between lipidomes, immunophenotypes, and PE and the potential effect of mediators. Bayesian analysis was also performed to improve the accuracy of the results. Finally, heterogeneity and horizontal polytropy tests were performed. The STROBE-MR checklist for the reporting of MR studies was used in this study. A total of 9 lipidomes and 25 immunophenotypes were found to be causally associated with the risk of PE, and mediation MR analyses identified HLA DR + Natural Killer %Natural Killer, HLA DR on B cell, and CD28 + CD45RA + CD8

Indexed as

B-LymphocytesLipidsPre-EclampsiaFemaleHumansImmunophenotypingLipidomicsMendelian Randomization AnalysisPregnancyLipidsImmunophenotypeLipidomeMediation MR analysisPreeclampsia

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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.