Evidence map›Paper›PMID 40192930›Full record

ArticleMetabolic brain disease2025

Maternal-offspring brain and tissue cross-talk in preeclampsia: insights from a rat model.

Xiaomin Xu, Haiyin Chen, Lidan Gao, Congcong Sun, Xiaoqing Li, Yanjun Li, Wenhuan Wang, Yanyan Zheng

Abstract read
In one paragraph

Article in Metabolic brain disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Xiaomin XuScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0009-0000-1136-2662
Haiyin ChenScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0000-0002-3053-3276
Lidan GaoScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0009-0006-8724-3321
Congcong SunScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0000-0002-8741-0680
Xiaoqing LiScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0000-0002-2355-807X
Yanjun LiScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0000-0003-3010-0005
Wenhuan WangScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China.ORCID 0000-0002-9342-6742
Yanyan ZhengScientific Research Center, Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People'S Hospital, Wenzhou, China. hongweilong@wmu.edu.cn.ORCID 0000-0002-7797-7229

Funding

Zhejiang Provincial Natural Science Foundation of China LQ21H040007
6 · The paper itself

Abstract

This study aimed to investigate the differential metabolic profiles across maternal and offspring brains, serum, and placental tissues in preeclampsia (PE), with a particular focus on elucidating the maternal-offspring brain and tissue cross-talk that may contribute to the complex pathophysiology of PE. PE was induced in rats using the nitric oxide synthase inhibitor N-nitro-L-arginine methyl ester (L-NAME) to simulate both early-onset PE (EOPE) and late-onset PE (LOPE). We utilized non-targeted proton nuclear magnetic resonance (NMR) metabolomics to characterize the metabolic profiles of serum, placental tissue extracts, and brain tissues from both mothers and offspring. Multivariate analysis, Spearman correlation, Density-Based Spatial Clustering of Applications with Noise algorithm, Data-Driven Statistical Predictive Correlation network analysis and Tissue heterogeneity analysis were employed to explore tissue-specific metabolic signatures and their interactions. Following L-NAME induction, both EOPE and LOPE presented significant metabolic differences and shared traits across tissues, with distinct tissue-specific responses characterizing the metabolic profile of PE. Serum from both PE groups showed a decrease in tryptophan, isobutyrate, and lactate, with an increase in betaine. Lactate was upregulated in placental tissues, highlighting its metabolic role. Extensive intra-tissue metabolic correlations and inter-tissue metabolite exchanges were detected among the maternal brain, serum, placenta, and offspring brain across all three experimental groups. EOPE and LOPE exhibited distinctly different metabolic characteristics and trajectories of differential metabolites, along with diverse interaction patterns between the maternal/offspring brain and the placenta. This study uncovers the multi-tissue metabolic remodeling in response to preeclampsia, implying that addressing pathophysiological stress is crucial and may have potential implications for neurological outcomes. The comprehensive analysis highlights the pivotal role of the brain-placenta axis in preeclampsia, advocating for a classified diagnostic and management approach.

Indexed as

BrainPlacentaPre-EclampsiaAnimalsDisease Models, AnimalFemaleMetabolomicsNG-Nitroarginine Methyl EsterPregnancyRatsRats, Sprague-DawleyNG-Nitroarginine Methyl EsterBrain-placenta axisMetabolic reprogrammingMetabolomeNeurotransmitterPreeclampsia

Identifiers

PMID40192930
PMCPMC11976809

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.