Evidence mapPaperPMID 39725908Full record

ArticleBMC pregnancy and childbirth2024

Integrated proteomics and metabolomics network analysis across different delivery modes in human pregnancy: a pilot study.

Yun Huang, Yanyan Ni, Yu Meng, Xiaojing Zeng, Xiaoqing He, Lin Zhang, Jun Zhang

Registry-linked trialAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07093957 (Effect of Delivery Method on Umbilical Cord Metabolomic Analysis), which is not on this 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.

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.

NCT07093957 completednot on this map

Effect of Delivery Method on Umbilical Cord Metabolomic Analysis

Typeobservational_patient_registrySponsorDr Abdurrahman Yurtaslan Ankara Oncology Training and Research HospitalRan2024 to 2025Enrolled80ConditionsMetabolomics, Cord Blood
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Yun Huang *Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanyan Ni *The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yu MengThe International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaojing ZengThe International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaoqing HeThe International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Lin ZhangThe International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. lilyyulin2003@icloud.com.
Jun ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. junjimzhang@sjtu.edu.cn.

Funding

Clinical Research Plan of IPMCHIPMCH 2022CR1-01ANational Natural Science Foundation of China 41991314, 81803246, and 82404277Natural Science Foundation of Shanghai Municipality 24ZR1449200Science and Technology Commission of Shanghai Municipality 21410713500Shanghai Municipal Health Commission 2020CXJQ01
6 · The paper itself

Abstract

backgroundDelivery mode has been linked to child health, e.g., allergic disease. However, it remains unclear whether protein and metabolite differences across different delivery modes may underlie child development.

methodsA cohort comprising 16 spontaneous onset vaginal delivery (VD), 16 prelabor cesarean delivery on maternal request (CS), and 8 intrapartum cesarean section (Intra_CS) women were analyzed using label-free proteomic and untargeted metabolomics assays on amniotic fluid and cord blood samples, respectively. We used weighted gene co-expression network analyses (WGCNA) to identify modules of highly correlated proteins or metabolites that associated with delivery modes and related clinical traits. KEGG enrichment analyses were performed to investigate the biological function of the identified modules. Integrative multiomics analysis was employed to examine the biological interplay between proteomic and metabolic interactions.

resultsCompared to the CS group, the proteomic and metabolomic profiles were similar between the Intra_CS and VD groups in our study. We did not identify any enriched protein or metabolite pathways related to immune development that could influence the risk of allergic diseases in offspring across different delivery modes. However, we identified seven protein modules correlated with the duration from the rupture of the membranes to full dilation of the cervix, with the actin cytoskeleton module significantly enriched. A metabolic module in cord blood that correlated with VD was enriched in subclasses including C21 steroids, steroid sulfates, and oxysterols. Integrative analysis of proteomic and metabolomic data suggested pathways related to mode of delivery and duration of labor, encompassing the actin cytoskeleton, NADP metabolic process, nicotinate, and nicotinamide metabolism in amniotic fluid, and the steroid hormone biosynthesis pathway in cord blood.

conclusionsDifferences in steroid hormones and the actin cytoskeleton pathway according to proteomics and metabolomics in amniotic fluid and cord blood were more indicative of the labor process. These findings could guide future studies on delivery-associated biochemical pathways.

Indexed as

Cesarean SectionDelivery, ObstetricFetal BloodMetabolomicsProteomicsAdultAmniotic FluidCohort StudiesFemaleHumansPilot ProjectsPregnancyCesarean sectionDelivery modeMetabolomicsProteomicsWGCNA

Identifiers

PMID39725908
PMCPMC11674393

What Socratic holds

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Registered trials

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.